Violent Crime Definition Trend Violent crime is composed of four offenses: murder and Rate per 100,000 nonnegligent manslaughter, forcible rape, robbery, and ag- Year Number of offenses inhabitants gravated assault. According to the Uniform Crime Report- 2002 1,423,677 494.4 ing (UCR) Program's definition, violent crimes involve 2003 1,381,259 475.0 force or threat of force. Percent change -3.0 -3.9 National Volume, Trends, and Rates An estimated 1,381,259 violent crimes were committed in the Nation in 2003. This represented a decrease of 3.0 percent from the violent crime figure from 2002. An analysis of 5- and 10-year trend data showed that the 2003 volume fell 3.1 percent when compared to violent crime data from 1999, and it dropped 25.6 percent from the estimate 10 years ago in 1994. (See Table 1, national estimates.) As in previous years, in 2003, aggravated assault was the offense that made up the largest portion of violent crime at 62.1 percent. Robbery accounted for 29.9 percent of violent crime, and forcible rape made up 6.8 percent. Murder was the least often committed violent offense, comprising an estimated 1 .2 percent of violent Figure 2.2 Violent Crime Percent Change from 1999 crime. (Based on Table 1, national esti- mates.) The violent crime rate per 100,000 inhabitants (475.0) declined 3.9 percent in 2003 when compared to the previ- ous year's rate. A comparison between violent crime rates in 2003 and 1999 (a five-year trend) disclosed a 9.2-percent drop in the rate. In 2003, there was a 33.4-percent drop in the violent crime rate per 100,000 persons in comparison to figures from 1994 (a 10-year trend). (See Table 1, national estimates.) Regional Offense Trends and Rates o •„ -5 - 0.0 0.9 < -0.2 -5.5 Volume Rate per 100,000 inhabitants 1999 2000 2001 2002 The UCR Program separates the United States into four regions: the Northeast, the Midwest, the South, and the West. A map of the United States outlining the regions is included in Appendix III of this book. A breakdown of offense trends and rates by region showed the following: The Northeast The Northeast accounted for 18.7 per- cent of the U.S. population in 2003. An estimated 15.8 percent of the Nation's violent crime occurred in this region. The estimated 218,106 violent crimes in the Northeast represented a 3.5-percent decline from the 2002 estimate. The violent crime rate in this region was 400.9 violent crimes per 100,000 inhab- itants. This 2003 figure represented a 3.9-percent drop when compared to the OFFENSES REPORTED 11 figure from the previous year. Within the violent crime category, the number of murders rose 4.6 percent and that of robbery increased by 0.3 percent over figures from the previous year. The number of forcible rapes and aggravated assaults declined 2.6 percent and 6.0 per- cent, respectively. (See Tables 3 and 4, regional estimates.) The Midwest In 2003, 18.8 percent of the Nation's violent crime occurred in the Midwest, which was home to 22.5 percent of the Nation's population. The Midwest ex- perienced an estimated 259,925 violent crimes, which is a 5.2-percent decline when compared to the 2002 figure. The violent crime rate in 2003 was 397.4 offenses per 100,000 inhabitants, a 5.7-percent decrease from the previous year's rate. All offenses within the vio- lent crime category showed a decrease in volume in 2003; robbery presented the largest decline, 5.7 percent, followed closely by aggravated assault with a 5.4-percent drop. Forcible rape offenses fell 3.2 percent, and those of murder de- creased 2.7 percent. (See Tables 3 and 4, regional estimates.) The South The South, with an estimated 35.9 per- cent of the 2003 population, was the region in which the most people lived. Table 2.1 Violent Crime by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 20O? January 8.2 7.9 7.7 7.9 7.8 February 7.1 7.2 6.7 6.8 6.5 March 7.9 8.1 7.9 7.9 8.2 April 8.1 8.1 8.1 8.1 8.3 May 8.8 8.9 8.7 8.7 8.9 June 8.5 8.6 8.7 8.8 8.8 July 9.3 9.3 9.3 9.3 9.2 August 9.1 9.1 8.9 9.3 9.2 September 8.4 8.6 8.7 9.2 8.6 October 8.6 8.7 9.0 8.6 8.8 November 8.0 7.8 8.2 7.7 7.9 December 8.0 7.7 8.1 7.7 7.7 It contributed the largest percent of the Nation's violent crime, 41.6. An esti- mated 574,226 violent crimes occurred in the South in 2003, a 2.6-percent decline in volume when compared to the 2002 estimate. In 2003, the violent crime rate was an estimated 549.3 of- fenses per 100,000 inhabitants, a 3.9- percent drop compared to the previous year's figure. Within the violent crime category, murder presented the lone rise in volume, up 3.0 percent from 2002 data. A comparison of 2002 and 2003 data showed the South experienced a 3.6 percent decrease in aggravated assault, a 1.6-percent decline in forcible rape, and a 0.9-percent decrease in robbery. (See Tables 3 and 4, regional estimates.) The West The West had 22.9 percent of the U.S. population in 2003, and 23.8 percent of violent crime occurred there. The West experienced an estimated 329,002 violent crimes, which represented a 1 .4-percent decline when compared to the 2002 estimate. The violent crime rate was an estimated 495.0 violent of- fenses per 100,000 individuals, down 2.8 percent from the figure calculated in the previous year. Within the violent crime category, murder presented the only rise in volume, up 1 .4 percent between 2002 and 2003. Robbery decreased by 1 .6 percent. Aggravated assault and forcible rape offenses each declined from the previous year's calculations, 1 .4 percent and 0.5 percent, respectively. (See Tables 3 and 4, regional estimates.) Community Types The UCR Program aggregates data by three community types: Metropolitan Statistical Areas (MSAs), cities outside metropolitan areas, and nonmetropolitan counties. MSAs are areas that include a principal city or urbanized area with at least 50,000 inhabitants and the county that contains the principal city and other adjacent counties that have, as defined by the U.S. Census Bureau, a high de- gree of economic and social integration with the principal city and county as measured through commuting. In 2003, an estimated 82.8 percent of the U.S. population lived in an MSA. An esti- mated 1 ,244,205 violent crime offenses were committed in this community type. This figure represented 90. 1 percent of the estimated total of violent crime. MSAs experienced a violent crime rate of 516.8 per 100,000 inhabitants in 2003. (Based on Table 2, community type estimates.) Almost 7 percent (6.8) of the Nation's population lived in cities out- side MSAs (mostly incorporated areas) in 2003. Violent crimes in this com- munity type accounted for 5.5 percent of the estimated total number of violent offenses. In 2003, an estimated 76,043 violent crimes were committed in cit- ies outside MSAs, which translated to a rate of 385.0 violent crimes per 100,000 inhabitants. (Based on Table 2, commu- nity type estimates.) In 2003, an estimated 10.4 per- cent of the U.S. population resided in nonmetropolitan counties, which are composed of unincorporated areas. There were an estimated 61,01 1 violent crimes in these counties, representing 4.4 percent of the violent crime total in the Nation. Nonmetropolitan counties had a violent crime rate of 201.5 violent offenses per 100,000 persons. (Based on Table 2, community type estimates.) Population Groups: Trends and Rates The UCR Program organizes the agen- cies that contribute data by population groups. There are 6 population groups that contain cities aggregated by size, as well as a group for metropolitan coun- 12 CRIME IN THE UNITED STATES ties and one for nonmetropolitan coun- ties. (Appendix III of this book further delineates UCR area definitions.) Collectively, the Nation's cities reported a 3.9-percent drop in violent crime in 2003 when compared to the previous year's data. (See Table 12.) All agencies labeled city, jointly experi- enced a violent crime rate of 597.0 per 100,000 inhabitants. (See Table 16.) Cities with 250,000 or more in popula- tion reported a 5.8-percent drop in vio- lent crime. Within this population group comprised of the largest U.S. cities, the subcategory of cities with 1 million and over in population had the largest de- cline in violent crime, 6.5 percent. Vio- lent crime decreased 3.7 percent in non- metropolitan counties and 1 .0 percent in metropolitan counties. (See Table 12.) The population group with the largest U.S. cities, those with more than 250,000 in population, reported a vio- lent crime rate of 967.5 violent offenses per 100,000 inhabitants. Within this group, the highest violent crime rate per 100,000 inhabitants, 980.0, was reported by law enforcement in those cities with 1 million or more in population. The lowest violent crime rate for city popula- tion groups (321.3 per 100,000 persons) was in cities with a population range of 10,000 to 24,999. Metropolitan counties experienced a violent crime rate of 345.8 per 100,000 inhabitants, and nonmetro- politan counties recorded a rate of 219.5 per 100,000 persons. (See Table 16.) In 2003, the percentage of mur- ders in the Nation's largest cities, those with 250,000 or more inhabitants, re- mained virtually unchanged from the 2002 number (+0.1 percent). However, within this population group, law en- forcement in cities within the popula- tion subcategory of 500,000 to 999,999 inhabitants reported the largest decline in the occurrence of murder, 1 .0 percent. Conversely, the Nation's smallest cities, those with fewer than 10,000 inhabit- ants, experienced the largest increase in murder, 20.0 percent. (See Table 12.) Weapons Distribution The UCR Program collects information about the weapons used in the violent crimes murder, robbery, and aggravated assault. In 2003, most of these violent crimes, 30.7 percent, were committed with personal weapons (hands, fists, feet, etc.). Firearms were the weapon of choice in 26.9 percent of these offenses. Knives or cutting instruments accounted for 15.2 percent of the weapons used in these three violent crimes, and other weapons were employed in 27.3 percent of these offenses. (Based on Tables 2.10 and 19.) Clearances Law enforcement agencies reporting of- fenses to the national UCR Program can clear these offenses by either arrest or by exceptional means. When clearing an offense by arrest, an offender must be arrested, charged with the commis- sion of an offense, and turned over to the court for prosecution. When a factor be- yond law enforcement's control prevents the agency from placing formal charges against the known offender, the agency can clear the offense exceptionally. In 2003, law enforcement cleared 46.5 percent of all violent crimes in the United States by arrest or exceptional means. In the violent crime category, 62.4 percent of murders were cleared, making it the violent offense most often cleared. Additionally, 55.9 percent of aggravated assaults, 44.0 percent of forc- ible rapes, and 26.3 percent of robberies were cleared. (See Table 25.) Within population groups, law enforcement in cities collectively cleared 44.7 percent of violent crimes, with law enforcement in the smallest cities (under 10,000 in population) reporting the high- est percentage of offenses cleared, 57.6 percent. Agencies in nonmetropolitan counties cleared 59.9 percent of violent crimes, and those in metropolitan coun- ties cleared 5 1.6 percent. (See Table 25.) Regionally, law enforcement in the Northeast cleared the highest percentage of violent crimes at 49.8 percent. Those in the West cleared 47.2 percent; those in the South 45.7 percent; and the agen- cies in the Midwest cleared 44.8 percent of their violent crimes. (See Table 26.) Clearances and Juveniles Both nationwide and in U.S. cities overall, 12.2 percent of violent crime clearances involved only juveniles (per- sons under the age of 18). The highest percentage of violent crime clearances (14.9) involving juveniles was in cities with populations between 25,000 and 49,999. Law enforcement agencies in metropolitan counties reported that 12.7 percent of their violent crime clearances involved juveniles, and nonmetropolitan counties recorded 9.8 percent of their clearances with only juvenile involve- ment. (See Table 28.) Arrests Law enforcement made an estimated 597,026 arrests for violent crime in the United States in 2003. This accounted for an estimated 4.4 percent of all arrests and 27.1 percent of Part I offense ar- rests. Within the violent crime category, there were an estimated 13,190 arrests for murder, accounting for 2.2 percent of all violent crime arrests. Forcible rape accounted for 4.4 percent of vio- lent crime arrests with 26,350 arrests estimated. There were an estimated 107,553 arrests for robbery, which repre- sented 18.0 percent of the violent crime arrest total. With an estimated 449,933 arrests, aggravated assault accounted for OFFENSES REPORTED 13 75.4 percent of arrests, the most of any violent crime. (Based on Table 29.) Within the Nation's regions, law enforcement agencies in the West had the highest arrest rate for violent crime with 276.4 arrests per 100,000 inhabitants. Law enforcement in the South reported a rate of 190.4 violent crime arrests per 100,000 persons. Agencies in the Northeast and the Midwest had violent crime arrest rates of 166.5 and 165.8 per 100,000 persons, respectively. (See Table 30.) Within all population groups, cities overall had a violent crime arrest rate of 231.8 per 100,000 individuals. Among city groups, those with a population of 250,000 and over had the highest violent crime arrest rate of 332.9 per 100,000. The lowest rate among cities was experienced by those with a pop- ulation range of 10,000 to 24,999 — 154.2 violent crime arrests per 100,000 inhabitants. (See Table 31.) In 2003, the number of arrests for violent crime de- creased 2.3 percent in comparison with that in 2002. The number of arrests of adults declined 2.7 percent from 2002 to 2003; the number of juvenile arrests remained virtually unchanged (+0.1 percent). (See Table 36.) When compared to the 1994 figure, the number of arrests for violent crime de- creased 15.9 percent in 2003. In this same 10-year period, the number of arrests of juveniles dropped 32.5 percent, and the number of adults arrested fell by 12.1 percent. (See Table 32.) Arrestees During 2003, 15.5 percent of arrestees for violent crimes were under the age of 18; 28.7 percent were under the age of 21, and 44.3 percent were under the age of 25. Juveniles under the age of 15 made up 5.1 percent of violent crime arrestees. (See Table 41.) The gender of 82.2 percent of those persons arrested for violent crimes was male. By violent offense, males accounted for 98.7 percent of forcible rape arrestees, 89.7 percent of murder arrestees, 89.6 percent of robbery arrestees, and 79.3 percent of aggravated assault arrests. (See Table 42.) By race, whites accounted for 60.5 percent of violent crime arrestees and blacks, 37.2 percent. The remainder of arrestees were of other races (American Indian or Alaskan Native and Asian or Pacific Islander). The race of arrestees for the violent offense of murder was nearly evenly divided between white and black individuals, 49.1 percent and 48.5 percent, respectively. The remaining murder arrestees were of other races. (See Table 43.) 14 CRIME IN THE UNITED STATES Murder Definition Murder and nonnegligent manslaughter, as defined in the Uniform Crime Reporting (UCR) Program, is the willful (nonnegligent) killing of one human being by another. The classification of this offense is based solely on police investigation as opposed to the determination of a court, medical examiner, coroner, jury, or other judicial body. The UCR Program does not include the following situations in the count for this offense classification: deaths caused by negligence, suicide, or accident; justifiable homi- cides; and attempts to murder or assaults to murder, which are scored as aggravated assaults. Trend Year 2002 2003 Number of offenses Rate per 100,000 inhabitants Percent change 16,229 16,503 +1.7 5.6 5.7 +0.7 National Volume, Trends, and Rates There were 16,503 criminal homicides in the United States during 2003. This fig- ure represented a 1.7-percent increase over the 2002 estimate and a 6.3-percent rise from the 1999 figure. Measured against the 1994 total, however, the 2003 estimate Figure 2.3 Murder Percent Change from 1999 10 5- -5 - -10 -2.7 Volume Rate per 100,000 inhabitants 1999 2000 2001 2002 2003 reflected a 29. 3 -percent decrease in the number of murders. (See Table 1, national estimates.) For 2003, the UCR Program esti- mated the murder rate at 5.7 offenses per 100,000 U.S. inhabitants, an increase of 0.7 percent compared to the prior year's rate. The murder rate for 2003 decreased only slightly (-0.3 percent) from the 1999 rate. However, the 2003 murder rate was 36.7 percent lower than the rate recorded for 1994. (See Table 1, national estimates.) Regional Offense Trends and Rates The UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the West. (Appendix III provides a map delineat- ing the regions.) The following para- graphs provide the murder breakdowns by region for 2003 : The Northeast An estimated 2,3 1 1 murders occurred in the Northeast during 2003. That figure represented an increase of 4.6 percent over the 2002 approximation. The mur- der rate was 4.2 offenses per 100,000 OFFENSES REPORTED 15 inhabitants, which was a 4.2-percent increase over the 2002 rate. Nearly 19 percent (18.7) of the Nation's popula- tion were living in the Northeast dur- ing 2003, and 14.0 percent of the total murders occurred in those states. (See Tables 3 and 4, regional estimates.) The Midwest The Midwest Region was the only area of the country to reflect a decrease in the number of murders when comparing 2002 and 2003 data. The 3,221 murders in the Midwest represented a 2.7-per- cent decrease from the region's murder total in 2002. The 2003 murder rate per 100,000 population was 4.9, a decrease of 3.1 percent from the previous year's rate. With 22.5 percent of the U.S. pop- ulation, the Midwest accounted for 19.5 percent of the country's murders during 2003. (See Tables 3 and 4, regional estimates.) Table 2.2 Murder by Month Percent Distribution, 1999-2003 Month 1999 2000 200V 2002 2005 January 8.8 8.4 7.9 8.2 7.7 February 7.1 7.3 6.2 6.8 6.9 March 7.6 7.6 7.1 7.8 8.0 April 7.7 7.7 7.9 7.7 8.2 May 8.3 8.5 8.3 8.0 8.6 June 8.1 8.5 8.5 8.1 8.3 July 9.1 9.3 9.5 9.7 9.3 August 9.1 9.4 9.0 9.2 9.1 September 8.7 8.3 8.6 9.7 8.7 October 8.4 8.7 9.3 8.4 8.5 November 8.2 7.7 8.5 7.9 7.8 December 8.8 8.7 9.2 8.6 9.0 1 The murder and nonnegligent homicides that occurred as a result of the events of September 1 1 , 200 1 , are not included. Table 2.3 Murder Victims by Race and Sex, 2003 Sex Race Total Male Female Unknown White 6,913 4,986 1,927 0 Black 6,887 5,771 1,113 3 Other race 408 277 131 0 Unknown race 200 133 44 23 Total 14,408 11,167 3,215 26 The South The Southern states, the Nation's most populous region, made up 35.9 percent of the Nation's population and account- ed for 43.6 percent of the murders in the United States in 2003. The estimated 7,197 offenses reflected a 3.0-percent in- crease in the number of murders during 2003 compared to the previous year's volume. The murder rate in the South was 6.9 murders per 100,000 persons, an increase of 1 .7 percent over the 2002 murder rate. (See Tables 3 and 4, re- gional estimates.) The West During 2003, the West had an estimated 3,774 murders. This figure reflected an increase of 1 .4 percent compared to the prior year's figure. With 22.9 percent of the national population, the West also accounted for 22.9 percent of the Nation's murders. The murder rate cal- culated for the Western States in 2003, 5.7 murders for every 100,000 persons, was unchanged from the 2002 rate. (See Tables 3 and 4, regional estimates.) Community Types The UCR Program estimates the num- ber of criminal offenses for three com- munity types: Metropolitan Statistical Areas (MSAs), cities outside of MSAs, and nonmetropolitan counties. During 2003, MSAs accounted for 82.8 percent of the Nation's population and 89.1 percent of the Nation's murders. The murder rate for MSAs was 6.1 offenses per 100,000 persons. Cities lying out- side MSAs (mostly incorporated areas) accounted for 6.8 percent of the national population and 4.5 percent of the murder offenses in 2003. Based upon reported offenses, the UCR Program estimated a rate of 3.8 homicides for each 100,000 inhabitants for these community types. Nonmetropolitan counties, comprised of mostly unincorporated areas, accounted for approximately 10.4 percent of the Nation's population and 6.4 percent of its homicides. These community types had a rate of 3.5 murder offenses per 100,000 inhabitants. (See Table 2, com- munity type estimates.) Population Groups: Trends and Rates The UCR Program presents crime statis- tics by population groups, which include cities, metropolitan counties, and non- metropolitan counties. Collectively, the Nation's cities experienced a 2.7-percent increase in the number of murders in 2003 compared to the 2002 number. Those cities with 250,000 or more in population and those with popula- tions within the 50,000 to 99,999 range showed virtually no change in the num- ber of murders from the previous year's number (+ 0. 1 percent and -0.1 percent, respectively). However, a comparison of the data from 2002 and 2003 showed increases in the number of murders in all other population groups labeled city. Cities with 100,000 to 249,999 inhabit- ants experienced an increase in murders of 6.8 percent, those with 25,000 to 49,999 populations had an increase of 5.5 percent, and those with populations of 10,000 to 24,999 showed a rise of 8.5 percent. The 2-year trend data indicated that the number of murders in cities with fewer than 10,000 inhabitants increased 20.0 percent from 2002 to 2003. The Nation's metropolitan counties and nonmetropolitan counties, however, experienced decreases in the number of murders — 3.3 percent and 2.3 percent, respectively — when comparing data from 2003 and 2002. (See Table 12.) U.S. cities collectively had a mur- der rate of 7.1 murders per 100,000 in- habitants for 2003. The highest rate was 13.2 in cities with 250,000 or more in- habitants. The lowest rate was comput- ed for cities with populations of 10,000 16 CRIME IN THE UNITED STATES Table 2.4 Murder Victims by Age, Sex, and Race, 2003 Sex Race Age ola a e remote IT Unknown Willi o w nue Black ' er Unknown Total 14,408 11,167 3,215 26 6,913 6,887 408 200 Percent distribution' 100.0 77.5 22.3 0.2 48.0 47.8 2.8 1.4 Under 18 2 1,333 905 424 4 660 617 40 16 Under 22 2 3,445 2,724 716 5 1,556 1,749 100 40 1 8 and over - 12,811 10,083 2,721 7 6,133 6,189 358 131 Infant (under 1 ) 225 131 91 3 139 73 7 6 1 to 4 307 164 142 1 165 131 5 5 to 8 82 41 41 0 44 34 3 1 9 to 12 69 36 33 0 33 34 1 13 to 16 369 293 76 o 150 202 14 3 17 to 19 1 283 1113 169 1 549 089 ^4 1 ] 20 to 24 2,855 2,432 420 3 1.165 1,585 74 31 25 to 29 2,148 1,826 322 0 839 1,234 54 21 30 to 34 1,594 1,249 344 1 692 842 43 17 35 to 39 1,286 973 313 0 636 605 36 9 40 to 44 1,114 783 330 1 589 484 32 9 45 to 49 951 694 256 1 552 362 26 11 50 to 54 630 463 167 0 382 226 19 3 55 to 59 365 256 109 0 236 113 12 4 60 to 64 226 160 66 0 148 57 16 5 65 to 69 164 113 51 0 122 32 8 2 70 to 74 153 90 63 0 105 42 4 2 75 and over 323 171 152 0 247 61 9 6 Unknown 264 179 70 15 120 81 10 53 1 Because of rounding, the percentages may not add to 100.0. 2 Does not include unknown ages. Table 2.5 Murder Offenders by Age, Sex, and Race, 2003 Age Total Sex Race Male Female Unknown White Black Other Unknown Total 16,043 10,218 1,123 4,702 5,132 5,729 308 4,874 Percent distribution 1 100.0 63.7 7.0 29.3 32.0 35.7 1.9 30.4 Under 18 2 813 726 86 1 351 433 21 8 Under 22 2 3,327 3,049 275 3 1,366 1,832 95 34 1 8 and over 2 9,396 8,387 997 12 4,489 4,542 280 85 Infant (under 1) 0 0 0 0 0 0 0 0 1 to 4 0 0 0 0 0 0 0 0 5 to 8 1 1 0 0 0 0 0 9 to 12 12 9 2 1 7 4 0 1 13 to 16 432 381 51 0 185 229 13 5 17 to 19 1,585 1,470 114 1 625 889 49 22 20 to 24 2,780 2,538 240 2 1,147 1,542 76 15 25 to 29 1,641 1,483 157 1 696 885 45 15 30 to 34 1,054 921 129 4 533 480 30 1 1 35 to 39 800 672 128 0 431 340 23 6 40 to 44 713 598 113 2 448 235 23 7 45 to 49 471 407 63 1 266 185 17 3 50 to 54 277 242 34 1 174 91 9 3 55 to 59 166 141 25 0 114 43 7 2 60 to 64 94 87 7 0 71 19 3 1 65 to 69 66 60 6 0 48 16 1 1 70 to 74 44 43 1 0 33 9 2 0 75 and over 73 60 13 0 61 8 3 1 Unknown 5,834 1,105 40 4,689 292 754 7 4,781 1 Because of rounding, the percentages may not add to 100.0. 2 Does not include unknown ages. OFFENSES REPORTED 17 to 24,999—2.7 murders per 100,000 inhabitants. Metropolitan counties had a rate of 4.0 murders, and nonmetropolitan counties had a rate of 3.4 murders per 100,000 inhabitants. (See Table 16.) Supplementary Homicide Reports During 2003, law enforcement agencies contributing data to the UCR Program submitted Supplementary Homicide Reports (SHRs) for 14,408 homicides. The SHR supplies data on the age, sex, and race of both the victim and the of- fender; the type of weapon used; the re- lationship of the victim to the offender; and the circumstance surrounding the incident. Table 2.6 Murder Victim/Offender Relationship by Age, 2003 [Single victim/single offender] Age of offender Age of victim Total Under 18 18 and over Unknown Total 7,024 346 6,089 589 Under 18 728 1 1 1 589 28 1 8 and over 6,199 231 5,424 544 Unknown 97 4 76 17 NOTE: This table is based upon incidents where some in- formation about the offender is known by law enforcement. It excludes incidents reported with a value of "unknown offender' Victims Based on 2003 SHR data (where age, sex, or race were known for the victims), 90.6 percent of murder victims were adults. Males accounted for 77.6 per- cent of murder victims. Just over 8 percent (8.2 percent) of male victims and 13.5 percent of female victims were under the age of 18. By race, 48.7 per- cent of murder victims were white, 48.5 percent were black, and the remainder were of other races (American Indian, Alaskan Native, Asian, or Pacific Islander). (Based on Table 2.4.) Offenders A review of the SHR data for known murder offenders showed that 90. 1 per- cent were identified as male and 92.0 were over 18 years of age. A breakdown of murder offenders for whom race was known showed that 5 1.3 percent were black, 45.9 percent were white, and 2.8 percent were of other races. (Based on Table 2.5.) Data from single victim/single of- fender incidents indicated that 92.4 per- cent of black victims were slain by black offenders, and 84.7 percent of white vic- tims were murdered by white offenders. (Based on Table 2.7.) Weapons Of the homicides for which the weapon type was specified on the 2003 SHR, 70.9 percent involved a firearm. Break- ing down those incidents further indi- cated that 79.9 percent of all incidents in which a firearm was used involved handguns; 4.0 percent, rifles; 4.7 per- cent, shotguns; and 11.4 percent, other type or unknown firearms. Offenders used knives or cutting instruments in 13.4 percent of the murders, personal weapons (hands, fists, feet, etc.) in 7.0 percent, and blunt objects in 4.8 percent of the incidents. Other weapon types (poison, arson, narcotics, etc.) accounted for approximately 4.0 percent of murder weapons. (Based on Table 2.9.) Victim/Offender Relationships The relationship of the victim to the of- fender was unknown for 44.5 percent of the homicides reported on the SHR for 2003. An analysis of the 55.5 percent of the victims for whom the relationships to their offenders were known revealed that 77.6 percent knew their assailants and that 22.4 percent were slain by strangers. Among the incidents in which the victims knew their assailants, 70.9 percent were acquainted with their Table 2.7 Murder Victim/Offender Relationship by Race and Sex, 2003 [Single victim/single offender] Race ' of offender Sex of offender Race of victim Total White Black Other Unknown Male Female Unknown White victims 3,603 3,017 501 44 41 3,199 363 41 Black victims 3,147 226 2,864 8 49 2,793 305 49 Other race victims 199 47 26 122 4 179 16 4 Unknown race 75 33 21 2 19 49 7 19 Race ' of offender Sex of offender Sex of victim Total White Black Other Unknown Male Female Unknown Male victims 4,987 2,163 2,642 111 71 AMI 499 71 Female victims 1,962 1,127 749 63 23 1,754 185 23 Unknown sex 75 33 21 2 19 49 7 19 NOTE: This table is based upon incidents where some information about the offender is known by law enforcement. It excludes incidents reported with a value of "unknown offender." 18 CRIME IN THE UNITED STATES Table 2.8 Table 2.9 Murder, Types of Weapons Used Percent Distribution by Region, 2003 Murder Victims by Weapon 1999-2003 "V s Region Total 100.0 66.9 12.6 13.9 6.6 Northeast 100.0 61.9 16.8 14.1 7.2 Midwest 100.0 68.1 10.9 14.9 6.2 South 100.0 67.7 12.3 13.7 6.4 West 100.0 67.8 12.0 13.5 6.7 1 Because of rounding, the percentages may not add to 100.0. 2 Pushed if i included in per sonal weapons. Weapons 1999 2000 200V 2002 2003 Total 13,011 13,230 14,061 14,263 14,408 Total firearms: 8,480 8,661 8,890 9,528 9,638 Handguns 6,658 6,778 6,931 7,294 7,701 Rifles 400 411 386 488 390 Shotguns 531 485 511 486 452 Other guns 92 53 59 75 75 Firearms, type not stated 799 934 1,003 1,185 1,020 Knives or cutting instruments 1,712 1,782 1,831 1,776 1,816 Blunt objects (clubs, hammers, etc.) 756 617 680 68 1 65 1 Personal weapons {hands. fists, feet, etc.) 2 885 927 961 954 946 Poison 11 g 12 23 9 Explosives 0 9 4 11 4 Fire 133 134 109 103 163 Narcotics 26 20 37 48 41 Drowning 28 15 23 20 17 Strangulation 190 166 153 145 184 Asphyxiation 106 92 1 16 100 128 Other weapons or weapons not stated 684 799 1,245 874 81 1 1 The murder and nonnegligent homicides that occurred as a result of the events of September 1 1, 2001, are not included. 2 Pushed is included in personal weapons. Table 2.10 Murder Victims by Age by Weapon, 2003 Age Total murder victims Weapons Total 14,408 9,638 1,816 651 946 9 4 163 41 184 128 828 Percent distribution 1 100.0 66.9 12.6 4.5 6.6 0.1 * I.I 0.3 1.3 0.0 5.7 Under 18 4 1,333 599 97 57 315 3 0 43 15 15 41 148 Under 22" 3,445 2,330 282 86 371 3 0 56 17 36 50 214 1 8 and over 4 12,811 8,901 1,694 583 61 1 6 4 1 12 26 168 70 627 Infant (under 1) 225 10 6 12 120 0 0 3 4 5 20 45 1 to 4 307 32 12 22 153 2 0 12 3 4 10 57 5 to 8 82 24 10 8 14 0 0 9 0 1 4 12 9 to 12 69 32 3 6 8 0 0 10 1 0 2 7 13 to 16 369 276 42 7 14 0 0 5 3 3 3 16 17 to 19 1,283 1,037 1 1 1 19 35 1 0 10 6 13 8 43 20 to 24 2,855 2,340 273 43 69 0 0 10 2 21 5 92 25 to 29 2,148 1,706 216 51 59 0 3 10 3 20 12 68 30 to 34 1,594 1,165 216 43 54 0 0 6 3 23 14 70 35 to 39 1,286 845 201 50 71 1 0 15 2 20 0 72 40 to 44 1,114 665 192 89 61 0 0 10 4 18 5 70 45 to 49 951 540 165 79 66 1 0 9 3 16 6 66 50 to 54 630 330 125 53 64 1 0 1 1 1 10 5 30 55 to 59 365 189 57 35 36 0 0 7 1 5 2 33 60 to 64 226 106 39 26 19 0 0 6 0 5 3 22 65 to 69 164 55 33 32 22 0 0 4 1 2 0 15 70 to 74 153 59 36 20 7 0 0 6 1 4 2 18 75 and over 323 89 54 45 54 3 1 12 3 13 10 39 Unknown 264 138 25 11 20 0 0 8 0 1 8 53 1 Pushed is included in personal weapons. 2 Includes drowning. 3 Because of rounding, the percentages may not add to 100.0. 4 Does not include unknown ages. *Less than one-tenth of 1 percent. OFFENSES REPORTED 19 Table 2.1 1 Murder Circumstances by Relationship, 1 2003 o 20 m c z — i m o w m Total murder Other Acquain- Circumstances victims Husband Wife Mother Father Son Daughter Brother Sister family tance Friend Boyfriend Girlfriend Neighbor Employee Employer Stranger Unknow, Total 14,408 123 573 105 129 268 193 87 27 299 3,294 339 160 464 112 13 19 1,795 6,408 Felony type total: 2,359 1 16 9 9 14 10 5 3 30 606 43 7 22 28 2 3 571 980 Rape 43 0 1 (1 0 0 1 0 1 3 12 0 ( I 2 ( 1 I ) 0 10 13 Robbery 1,056 0 0 2 2 0 0 2 0 6 1% 17 0 0 5 2 2 387 435 Burglary 93 0 1 1 0 0 0 0 1 2 23 2 1 2 1 0 0 33 26 Larceny-theft 22 0 0 0 1 0 0 0 0 1 4 0 0 1 1 0 1 10 3 Motor vehicle theft 30 0 1 0 0 0 0 0 0 1 8 2 0 1 0 0 0 5 12 Arson 77 1 0 2 1 3 0 0 1 3 13 0 0 1 16 0 0 3 33 Prostitution and commercialized vice 16 0 0 0 0 0 0 0 0 0 2 0 () o o o 0 6 8 Other sex offenses 10 0 0 0 0 0 0 0 0 0 5 0 0 0 1 0 0 1 3 Narcotic drug laws 666 0 3 1 1 1 0 0 0 5 258 17 1 3 0 0 0 69 307 Gambling 6 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 2 Other — not specified 340 0 10 3 4 10 9 3 0 9 81 5 5 12 4 0 0 47 138 Suspected felony type 88 0 2 0 0 0 0 0 0 0 4 0 0 0 0 0 0 6 76 Other than felony type total: 7,070 109 484 76 101 224 153 68 17 229 2,165 243 136 380 70 10 1 1 937 1,657 Romantic triangle 98 2 4 0 0 0 0 1 0 2 48 2 5 7 3 0 0 13 1 1 Child killed by babysitter 29 0 0 0 0 0 2 0 0 2 20 3 0 0 0 0 0 0 2 Brawl due to influence of alcohol 128 2 2 1 1 2 0 1 1 4 59 10 0 4 1 0 0 24 16 Brawl due to influence of narcotics 53 0 1 1 1 0 0 0 0 4 22 7 0 4 0 0 0 7 6 Argument over money or property Other arguments Gangland killings Juvenile gang killings Institutional killings Sniper attack Other — not specified Unknown 220 2 5 2 1 2 0 4 0 10 1 14 10 1 5 2 0 1 12 49 3,806 79 324 45 68 47 22 48 7 145 1,284 162 98 291 49 2 5 496 634 1 15 0 0 0 0 0 0 0 0 0 41 1 0 0 0 0 0 33 40 819 0 0 0 0 0 0 0 0 2 143 5 0 0 0 0 0 132 537 13 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 2 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1,787 24 148 27 30 173 129 14 9 60 424 43 32 69 15 8 5 216 361 4,891 13 71 20 19 30 30 14 7 40 519 53 17 62 14 1 5 281 3,695 1 Relationship is that of victim to offender. NOTE: The relationship categories of husband and wife include both common-law and ex-spouses. The categories of mother, father, sister, brother, son, and daughter include stepparents, stepchildren, and stepsiblings. The category of acquaintance includes homosexual relationships and the composite category of other known to victim. Figure 2.4 Murder by Relationship 1 Percent Distribution, 2 Volume by Known Relationship, 2003 Family Other Known Acquaintance 1 3,294 Friend 1 339 Boyfriend | 1 160 Girlfriend | | 464 Neighbor I II ]J2 Employee | 13 Employer U 19 0 100 200 300 400 500 600 1 Relationship is that of victim to offender. 1 Due to rounding, the percentages may not add to 100.0. Figures are based on 14,408 murder victims for whom Supplementary Homicide Report data were received. OFFENSES REPORTED 21 Table 2.12 o m c z — i m o w m Murder Circumstances by Weapon, 2003 Circumstances & j if ^ Q \v ^ ■J- 1 Total 14,408 9,638 7,701 390 452 1,095 1,816 651 944 9 2 4 163 41 17 184 128 811 Felony type total: 2,359 1,680 1,402 53 75 150 182 123 113 2 0 2 82 14 2 36 22 101 Rape 43 4 3 0 0 1 10 5 1 1 0 0 0 0 0 0 6 2 5 Robbery 1,056 790 681 24 26 59 84 77 52 0 0 0 0 0 0 7 10 36 Burglary 93 55 42 4 5 4 19 6 6 1 0 0 0 0 0 0 0 6 Larceny-theft 22 17 9 5 1 2 1 1 0 0 0 0 0 0 0 2 0 1 Motor vehicle theft 30 12 7 1 1 3 4 5 1 0 0 0 0 0 0 0 1 7 Arson 77 6 6 0 0 0 0 0 2 0 0 0 62 0 0 1 2 4 Prostitution and commercialized vice 16 4 4 0 0 0 1 0 1 0 0 0 0 0 1 9 0 0 Other sex offenses 10 2 2 0 0 0 1 2 2 0 0 0 0 0 0 2 1 0 Narcotic drug laws 666 571 485 11 28 47 36 17 8 0 0 0 2 14 0 4 1 13 Gambling 6 5 4 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 Other — not specified 340 214 159 8 14 33 25 10 30 1 0 2 18 0 1 5 5 29 Suspected felony type 88 76 65 2 3 6 5 2 0 0 0 0 1 0 0 2 0 2 Other than felony type total: 7,070 4,446 3,601 248 263 334 1,146 313 631 4 2 1 38 19 11 71 77 31 1 Romantic triangle 98 61 50 3 5 3 26 2 5 0 0 0 0 0 0 0 1 3 Child killed by babysitter 29 0 0 0 0 0 1 4 15 0 0 0 0 1 0 0 2 6 Brawl due to influence of alcohol 128 57 46 8 1 2 34 12 16 0 0 0 1 0 0 0 2 6 Brawl due to influence of narcotics 53 33 24 4 2 3 1 1 1 1 0 0 0 0 2 0 0 1 4 Argument over money or property 220 156 131 7 10 8 26 14 16 0 0 0 0 0 0 6 0 2 Other arguments 3,806 2,321 1,884 1 12 152 173 821 177 267 2 1 0 20 1 2 46 21 127 Gangland killings 115 105 81 6 4 14 6 1 2 0 0 0 0 0 0 0 1 0 luvenile gang killings 819 797 727 31 10 29 17 2 1 0 0 0 0 0 0 0 0 2 Institutional killings 13 1 1 0 0 0 1 3 6 0 0 0 0 0 0 0 0 2 Sniper attack 2 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Other — not specified 1,787 913 657 75 79 102 203 97 302 2 1 1 17 15 9 19 49 159 Unknown 4,891 3,436 2,633 87 111 605 483 213 200 3 0 1 42 8 4 75 29 397 murderers, and 29.1 percent were re- lated to them. Husbands and boyfriends killed 32.3 percent of female victims, and wives and girlfriends murdered 2.5 percent of male victims. (Based on Table 2.11.) Circumstances The circumstance was unknown for 33.9 percent of the homicides reported on the SHR for 2003. The supplemental data indicated that 16.4 percent of the homicides for which circumstances were known involved the commission of an- other felony such as robbery or narcotic drug laws. Investigators suspected that another 0.6 percent of homicides likely resulted from a felonious activity. In- vestigators cited arguments as the cause of 28.6 percent of the killings. Other types of circumstances, such as juvenile gang killings, sniper attacks, and brawls involving alcohol or drugs, were docu- mented in 20.4 percent of the murders. (Based on Table 2.13.) Clearances In the UCR Program, law enforcement clearances occur by arrest or, in certain specific circumstances, by exceptional means, i.e., when elements beyond the control of law enforcement prevent the placing of formal charges against the of- fender. (Section III provides more infor- mation regarding clearances.) Typically, the crime of murder has the highest percentage of clearances. During 2003, law enforcement cleared 62.4 percent of murders reported nationwide. (See Table 25.) Of the total clearances for murder, 5.2 percent involved only juve- nile offenders. (See Table 28.) During 2003, law enforcement in the Nation's cities collectively cleared 61.9 percent of reported murders. Among the city population groupings, those with populations of 10,000 to 24,999 had the highest percentages of Table 2.13 Murder Circumstances, 1999-2003 Ci renin v/t tut. 'c \ 1999 2000 200V 2002 2003 Total 13,011 13,230 14,061 14,263 14,408 Felony type total: 2,215 2,229 2,364 2,340 2,359 Rape 47 58 61 44 43 Robbery 1,057 1,077 1,080 1,111 1,056 Burglary 81 76 80 97 93 Lareeny-theft 14 23 17 16 22 Motor vehicle theft 12 25 22 15 30 Arson 66 81 71 59 77 Prostitution and commercialized vice 8 6 5 8 16 Other sex offenses 19 10 7 8 10 Narcotic drug laws 581 589 575 664 666 Gambling 17 12 3 5 6 Other — not specified 3 1 3 272 443 313 340 Suspected felony type 65 60 72 66 88 Other than felony type total: 6.880 6,871 7,073 7,185 7,070 Romantic triangle 137 122 118 129 98 Child killed by babysitter 34 30 37 39 29 Brawl due to influence of alcohol 203 L88 152 149 128 Brawl due to influence of narcotics 127 99 118 85 53 Argument over money or property 213 206 198 203 220 Other arguments 3,471 3,589 3,618 3,577 3,806 Gangland killings 122 65 76 75 115 Juvenile gang killings 5 SO 653 862 91 1 S19 Institutional killings 13 10 8 12 13 Sniper attack 5 8 7 10 2 Other — not specified 1,975 1,901 1,879 1,995 1,787 Unknown 3,851 4,070 4,552 4,672 4,891 1 The murder and nonnegligent homieides that occurred as a result of the events of September 11, 2001, are not included. Table 2.14 Murder Circumstances by Victim Sex, 2003 Circumstances Total murder victims Male Female Unknown Total 14,408 11,167 3,215 26 Felony type total: 2,359 1,924 431 4 Rape 43 0 43 0 Robbery 1,056 90S 145 3 Burglary 93 75 18 0 Larceny-theft 22 IS 4 0 Motor vehicle theft 30 19 11 0 Arson 77 37 40 0 Prostitution and commercialized vice 16 3 13 0 Other sex offenses 10 4 6 0 Narcotic drug laws 666 61 1 54 I Gambling 6 6 0 0 Other — not specified 340 243 97 0 Suspected felony type 88 71 17 0 Other than felony type total: 7,070 5,241 1,825 4 Romantic triangle 98 81 17 0 Child killed by babysitter 29 17 12 0 Brawl due to influence of alcohol 128 109 19 0 Brawl due to influence of narcotics 53 40 13 0 Argument over money or property 220 186 34 0 Other arguments 3,806 2,772 1,033 1 Gangland killings 115 111 4 0 Juvenile gang killings 819 7S2 37 0 Institutional killings 13 13 0 0 Sniper attack 2 1 1 0 Other — not specified 1,787 1,129 655 3 Unknown 4,891 3,931 942 18 OFFENSES REPORTED 23 Table 2.15 ■ Table 2.16 Justifiable Homicide by Weapon, Law Enforcement, 1 1999-2003 Justifiable Homicide by Weapon, Private Citizen, 1 1999-2003 A\e- 1999 308 305 274 11 15 5 0 1 2 1999 192 158 137 5 10 6 18 9 7 2000 309 308 274 14 13 7 0 1 0 2000 164 138 123 4 7 4 15 g 3 2001 378 375 318 25 11 21 0 3 0 2001 222 183 143 10 13 17 26 6 7 2002 341 338 2% 19 7 16 0 3 0 2002 233 189 158 11 13 7 26 9 9 2003 370 363 316 16 9 22 0 2 5 2003 246 203 163 6 20 14 22 13 8 1 The killing of a felon by a law enforcement officer in the line of duty. 1 The killing of a felon, during the commission of a felony, by a private citizen. clearances for murder, 71.8 percent. Law enforcement agencies in metro- politan counties cleared 60.0 percent, and those in nonmetropolitan counties cleared 76.3 percent of reported mur- ders. (See Tables 25.) Arrests The UCR Program estimates the number of arrests nationwide for all Part I and Part II offenses; these data are presented in Table 29. All other tabular presenta- tions are based upon data from agencies that submitted reports for all 12 months of the year. Total Arrests Nationwide, there were an estimated 13,190 arrests for murder during 2003. (See Table 29.) Adults, defined by the UCR Program as individuals 1 8 years of age and older, accounted for 9 1 .4 percent of murder arrestees. (Based on Table 38.) Overall, 48.9 percent of those arrested for murder were under the age of 25, and 8.6 percent were under the age of 18. (See Table 41.) Arrest Rates Based upon 2003 arrest data and popula- tion figures, nationwide, the arrest rate for murder was 4.5 arrests per 100,000 inhabitants. By region, the South had the highest murder arrest rate at 5.6 ar- rests; the West followed with 4.4 arrests, the Midwest with 4.2 arrests, and the Northeast with 3.1 murder arrests per 100,000 inhabitants. (See Table 30.) Among the population groups in 2003, the Nation's cities collectively had a murder arrest rate of 4.8 per 100,000 persons. Law enforcement in the larg- est cities, those with more than 250,000 inhabitants, had the highest rate of ar- rests for murder, 9.4 for every 100,000 in population. Law enforcement in cities with 10,000 to 24,999 residents had the lowest rate, 2. 1 murder arrests per 100,000 individuals. Metropolitan and nonmetropolitan counties both had a murder arrest rate of 3.8 for every 100,000 inhabitants. (See Table 31.) Arrest Trends A comparison of 2003 data to those of 2002 indicated an overall 6.6-percent drop in arrests for murder. The number of juveniles arrested for murder declined 10.0 percent, and the number of adults decreased 6.2 percent. By gender, the number of males arrested for murder decreased 5.9 percent and the number of females decreased 1 1 .4 percent. (See Tables 36 and 37.) The 5 -year trend data showed that the number of arrests for murder in 2003 dropped 5.1 percent compared to the 1999 number. Arrests of juveniles fell 18.3 percent, and arrests of adults de- creased 3.6 percent. An analysis of gen- der data for 1999 and 2003 showed that arrests of males for murder declined 4.3 percent over the time period, and arrests of females fell 1 1.5 percent. (See Tables 34 and 35.) A review of the 10-year trend data showed 36.2 percent fewer arrests for murder in 2003 than in 1994. Arrests of juveniles were 67.6 percent lower and arrests of adults were 29.6 percent lower than the 1994 figure. The 10-year trend also revealed that arrests of males for murder were down 36.9 percent, and ar- rests of females for murder were down 30.1 percent from the 1993 figure. (See Tables 32 and 33.) Arrest Distribution by Age, Sex, and Race Based upon arrest data for 2003, males comprised 89.7 percent of all murder ar- restees. (See Table 42.) By race, whites accounted for 49.1 percent of the murder arrestees, and blacks made up 48.5 per- cent of the total murder arrestees. Other races accounted for the remainder of persons arrested for murder. (See Table 43.) 24 CRIME IN THE UNITED STATES Justifiable Homicide The UCR Program defines justifiable homicide as the killing of a felon by a peace officer in the line of duty or the killing of a felon, during the commission of a felony, by a private citi- zen. Because these willful killings are determined through law enforcement investigation to be justifiable, or excusable, they are tabulated separately from the murder and nonnegligent manslaughter classification. During 2003, contributing law enforcement agencies provided supplemental data for 616 justifiable homicides. According to those data, law enforcement officers justifiably killed 370 felons, and private citizens justifiably killed 246 felons. Tables 2.15 and 2.16 provide additional information about justifiable homicides. Information regarding the UCR Program's statistical methodology and table construction can be found in Appendix I. OFFENSES REPORTED 25 Forcible Rape Definition Forcible rape, as defined in the Uniform Crime Reporting (UCR) Program, is the carnal knowledge of a female forc- ibly and against her will. Assaults or attempts to commit rape by force or threat of force are also included; however, statutory rape (without force) and other sex offenses are excluded. Trend Year 2002 2003 Number of offenses Rate per 100,000 inhabitants 95,235 93,433 33.1 32.1 Percent change -1.9 -2.8 Offense Methodology National Volume, Trends, and Rate The UCR Program counts one offense per victim when a female of any age is forc- ibly raped or upon whom an assault to rape or attempt to rape is made. Additionally, the Program classifies all sex offenses (except forcible rape) as Part II offenses and, as such, collects only arrest data, which are presented in aggregated totals. (See Ap- pendix II.) Consequently, statutory rapes of female victims where no force is used and the victim is under the age of consent are included in sex offenses. Sexual at- tacks on males are classified as assaults or sex offenses depending on the nature of the crime and the extent of injury. Figure 2.5 Forcible Rape Percent Change from 1999 -5 -10 Volume Rate per 100,000 female inhabitants Based on law enforcement reports, an estimated 93,433 forcible rape of- fenses occurred nationwide in 2003. This figure was 1.9 percent lower than the 95,235 forcible rapes estimated for 2002. Five- and 10-year trend compari- sons revealed that the 2003 volume was 4.5 percent above the estimated 89,41 1 offenses in 1999 but 8.6 percent below the 102,216 forcible rapes recorded in 1994. (See Table 1, national estimates.) Of the total number of forcible rapes estimated for 2003, rapes by force ac- counted for 91.0 percent. The remainder was attempts. (Based on Table 19.) Throughout this publication, the UCR Program calculated forcible rape rates (including those listed above and those in subsequent tables) using estimates of the total U.S. population. Within this narrative, however, the forc- ible rape rates were based on the U.S. Census Bureau's 2003 estimate of the Nation's female population. According to those calculations, 63.2 forcible rapes occurred per 100,000 females in 2003, a 2.7-percent decrease from the 2002 rate of 65.0. The 2003 rate of forcible rape declined 1.4 percent from the 1999 rate of 64.1 (the 5-year trend) and fell 17.9 percent from the 1994 estimate of 77.0 forcible rapes per 100,000 females (the 10-year trend). 1999 2000 2001 2002 2003 OFFENSES REPORTED 27 Regional Offense Trends and Rates For data analyses, the UCR Program divides the United States into four re- gions: the Northeast, the Midwest, the South, and the West. (A map delineating these regions is published in Appendix III.) Overall, the rate of forcible rape declined in all four regions from 2002 to 2003. Regional tabulations of forcible rape data (based on Tables 3 and 4, re- gional estimates) revealed the following: The Northeast Law enforcement agencies in the North- east reported an estimated 12,51 1 forc- ible rape offenses — 13.4 percent of the forcible rape total — in 2003. In that region, which accounted for 18.7 percent of the total U.S. population, 45.3 forc- ible rapes occurred per 100,000 female inhabitants. The rate of forcible rape for 2003 was a 2.9-percent decrease from the 46.6 rapes per 100,000 females in 2002. The Midwest In 2003, an estimated 23,404 forcible rape offenses occurred in the Midwest, where 22.5 percent of the Nation's popu- lation resided. Forcible rape offenses in that region comprised 25.0 percent of the national forcible rape volume. Table 2.17 Forcible Rape by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 2003 January 8.1 8.0 7.7 7.6 7.9 February 7.3 7.5 7.1 7.0 6.8 March 8.2 8.5 8.4 7.8 8.3 April 8.2 8.0 8.3 8.6 8.1 May 8.6 9.0 8.8 9.0 9.0 June 8.8 9.1 8.7 9.0 8.7 July 9.6 9.5 9.7 9.6 9.5 August 9.5 9.3 9.4 9.5 9.6 September 8.3 8.4 8.6 9.1 8.9 October 8.3 8.3 8.5 8.4 8.4 November 7.9 7.5 7.6 7.4 7.7 December 7.2 6.9 7.2 6.9 7.1 Females were victims of forcible rape in the Midwest at a rate of 70.4 offenses per 100,000 female inhabitants in 2003, a 3.5-percent decline from the 2002 rate of 73.0 forcible rapes per 100,000 female population. The South Based on law enforcement reports from the South, an estimated 35,133 forcible rape offenses were committed in that region in 2003. The South, which com- prised 35.9 percent of total U.S. popula- tion, had 37.6 percent of the forcible rape offenses that occurred nationwide. The rate of forcible rape in the South was 66.1 offenses per 100,000 females in 2003, a 2.7-percent decrease from the 68.0 rapes per 100,000 female inhabit- ants in 2002. The West In 2003, law enforcement agencies in the West reported an estimated 22,385 forcible rape offenses, which equated to 24.0 percent of all forcible rapes nation- wide. In that region, where 22.9 percent of the Nation's population resided, forcible rapes were committed at a rate of 66.3 per 100,000 females in 2003, a 1.9-percent decline from the 2002 rate of 67.5. Community Types The UCR Program aggregates data for three community types: Metropolitan Statistical Areas (MSAs), cities outside metropolitan areas, and nonmetropolitan counties. (Appendix III further explains the composition of these community types.) In 2003, the rate of forcible rape among MSAs was 64.5 offenses per 100,000 females. The highest forcible rape rate, recorded for cities outside metropolitan areas, was estimated at 75.1 rapes per 100,000 female inhabit- ants. Lastly, nonmetropolitan counties had 45.7 forcible rapes per 100,000 female population. (Based on Table 2, community types estimates.) Clearances Clearances occur either by arrest or by exceptional means, i.e., when elements beyond the control of law enforcement prevent the placing of formal charges against the offender. (Section III pro- vides more information regarding clear- ances.) During 2003, law enforcement cleared 44.0 percent of forcible rapes that were reported in the United States. By population grouping, agencies in cities (collectively) cleared 43.4 percent of all rape offenses. The percentage of forcible rape offenses cleared in the Nation's largest cities, those with 1 million and more inhabitants, was 48.5 percent. Law enforcement agen- cies in metropolitan counties cleared 45.4 percent of the reported forcible rapes in their communities, and agen- cies in nonmetropolitan counties cleared 46.8 percent. (See Table 25.) Law enforcement agencies in the Northeast cleared 48.5 percent of the forcible rape offenses brought to their attention in 2003, the highest clearance percentage among law enforcement in all four regions. Agencies in the South cleared 46.8 percent of forcible rape offenses, and those in the West cleared 41.9 percent of the region's forcible rape offenses. Law enforcement in the Midwest cleared 38.5 percent of forcible rape offenses by arrest or exceptional means. (See Table 26.) Clearances and Juveniles When an offender under the age of 1 8 is cited to appear in juvenile court or be- fore other juvenile authorities, the UCR Program records the incident as a clear- ance by arrest even though a physical arrest may not have occurred. In addi- tion, according to Program definitions, 28 CRIME IN THE UNITED STATES clearances involving both adult and juvenile offenders are classified as adult clearances. Therefore, the following clear- ance data do not necessarily depict the full extent to which juveniles were offenders of forcible rape. Nationwide, the clearance of rape offenses involving juveniles only accounted for 11.5 percent of total forcible rape clearances in 2003. Law enforcement agencies in cities (collectively) reported that 10.6 percent of all forcible rape clearances involved only juveniles. Among the Nation's cities, the highest percentage of forcible rape clearances involving only juveniles, 13.4 percent, was in cities with populations of 25,000 to 49,999. Forcible rape clearances involving only juveniles comprised 7.2 percent, the lowest percentage, of forcible rape clearances in cities with populations of 250,000 and over. Clearances of offenders under the age of 1 8 made up 13.6 percent of all forcible rape clearances in metropolitan counties and 16.0 percent of those in nonmetropolitan counties. (See Table 28.) Arrests Law enforcement agencies nationwide made an estimated 26,350 arrests for forcible rape in 2003. (See Table 29.) The national rate of arrests for forcible rape was 9.0 arrests per 100,000 U.S. inhabitants. In cities, collectively, law enforce- ment made 9.4 arrests per 100,000 in population. Agencies in metropolitan counties and nonmetropolitan counties recorded 7.8 arrests and 8.9 arrests per 100,000 persons of their respec- tive populations. (See Table 31.) Based on the data of those arrested for forcible rape, 45.9 percent were under 25 years old, and 30.9 percent were under 21 years old. Further, the data showed that 16.1 percent of forcible rape arrestees were under the age of 18, and 6.0 percent were under 15 years old. (See Table 41.) Adults, de- fined by the UCR Program as individuals 1 8 years of age and older, accounted for 83.9 percent of forcible rape arrestees. (See Table 38.) Race distributions for adults and juveniles arrested for forcible rape were similar for 2003. Of those adults ar- rested for the offense, 64.1 percent were white, 33.3 percent were black, and 2.6 percent were other races. (See Table 43.) Among juvenile arrestees, 64.1 percent were white, 33.4 per- cent were black, and 2.5 percent were other races. (See Table 43.) Arrest Trends When compared to the arrest volume recorded for 2002, the number of arrests for forcible rape decreased 5.1 percent over- all in 2003. The 2-year trend (2002 and 2003) showed that arrests of adults for the offense declined 4.3 percent and those of juveniles decreased 9.0 percent. (See Table 36.) Five-year trend data (from 1999 and 2003) revealed a 5.0-percent de- crease in the number of persons arrested for forcible rape in 2003, with the number of arrests for forcible rape involving adult arrestees down 3.8 percent and that involving juvenile arrestees down 10.5 percent. (See Table 34.) Ten-year trend data (those from 1994 and 2003) indicated a 22.3-percent drop in the number of persons arrested for forcible rape; forcible rape arrests of adults and juveniles decreased 21.8 percent and 24.7 percent, respectively. (See Table 32.) OFFENSES REPORTED 29 Robbery Definition The Uniform Crime Reporting (UCR) Program defines robbery as the taking or attempted taking of anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or putting the victim in fear. Trend Year Number of offenses Rate per 100,000 inhabitants 2002 2003 420,806 413,402 146.1 142.2 Percent change -1.8 -2.7 National Volume, Trends, and Rates There were an estimated 413,402 robberies in the Nation in 2003, a 1.8-percent decrease from the 2002 estimate. Five- and 10-year trend data indicated that the number of robberies in 2003 rose 1.0 percent when compared to 1999 data; the num- ber of robberies in 2003 fell 33.2 percent from the 1994 figure. (See Table 1, na- tional estimates.) Robbery accounted for 29.9 percent of all violent crimes in 2003. (Based on Table 1, national estimates.) National trend data also showed that in 2003 robbery offenses occurred at a rate of 142.2 offenses per 100,000 in- habitants, a 2.7-percent decrease from the 2002 estimate, a 5.3-percent decline from the 1999 data, and a 40.2-percent drop from the 1994 rate. (See Table 1, national estimates.) Regional Offense Trends and Rates Figure 2.6 Robbery Percent Change from 1999 5 T 0 •, -5 - Volume ■•' Rate per 1 00,000 inhabitants 1999 2000 2001 2002 2003 The UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the West. (Geographic region break- downs can be found in Appendix III.) Data collected by the UCR Program and aggregated by region concerning rob- bery reflected the following: The Northeast The Northeast was home to 18.7 percent of the Nation's population in 2003; 19.6 percent of the Nation's robberies were reported in that region. Law enforce- ment in the region reported a 0.3-percent increase in the volume of robberies in 2003 when compared to the volume of robberies reported in 2002. In 2003, an estimated 148.7 robberies per 100,000 inhabitants were committed in the Northeast, a 0.2-percent decline from the 2002 rate. (See Tables 3 and 4, regional estimates.) The Midwest The Midwest had 22.5 percent of the OFFENSES REPORTED 31 Nation's population. Law enforcement in the Midwest Region reported 5.7 per- cent fewer robberies in 2003 from the 2002 volume. The number of robberies in the Midwest accounted for 18.8 per- cent all robberies in the Nation in 2003. The rate of robberies in the Midwest, 118.5 per 100,000 inhabitants, declined 6.1 percent from the 2002 rate. The Midwest Region had the lowest volume of robberies and the lowest rate of rob- beries per 100,000 inhabitants of the four regions in 2003. (See Tables 3 and 4, regional estimates.) The South Nearly 36 percent (35.9) of the Nation's population resided in the South in 2003, and law enforcement agencies in the Table 2.18 Robbery by Month Percent Distribution, 1999-2003 Month 1999 2000 2007 2002 200i January 8.9 8.6 8.3 8.8 8.6 February 7.3 7.1 6.5 6.7 6.5 March 7.7 7.7 7.6 7.6 8.0 April 7.6 7.5 7.4 7.4 8.0 May 8.1 8.1 8.1 8.0 8.4 June 8.1 7.9 8.0 7.9 8.2 July 8.7 8.7 8.7 8.8 8.8 August 8.8 9.0 8.7 8.9 8.7 September 8.3 8.5 8.5 8.8 8.4 October 8.8 9.1 9.7 9.1 9.0 November 8.6 8.7 9.2 8.6 8.4 December 9.2 9.0 9.4 9.2 9.1 region reported an estimated 38.9 per- cent of the country's robberies. The South had the highest volume, 160,675 estimated offenses, and rate, 153.7 per 100,000 population, of the four geo- graphic regions. The number of robber- ies reported in the South declined 0.9 percent from the 2002 number, and the rate of robberies per 100,000 inhabit- ants declined 2.1 percent from the 2002 figure. (See Tables 3 and 4, regional estimates.) The West The West accounted for 22.9 percent of the Nation's total population and 22.8 percent of the country's robberies in 2003. The region had a 1.6-percent decrease in robberies from the 2002 estimate, and a rate of 141.9 robberies per 100,000 in population, a 3.1 -percent decline from the 2002 rate. (See Tables 3 and 4, regional estimates.) Community Types The UCR Program aggregates data by three community types: Metropolitan Statistical Areas (MSAs), cities outside metropolitan statistical areas, and non- metropolitan counties. (Additional in- depth information regarding community types is located in Appendix III.) Nearly 83 percent (82.8) of the Nation's popula- Table 2.19 Robbery Percent Distribution by Region, 2003 Type United States total Northeast Midwest South West Total 1 100.0 100.0 100.0 100.0 100.0 Street/highway 43.4 56.9 47.1 37.0 43.1 Commercial house 14.6 9.6 1 1.5 15.4 17.6 Gas or service station 2.7 3.8 3.4 2.4 2.4 Convenience store 6.2 6.0 5.0 7.4 5.2 Residence 13.7 9.3 12.1 18.7 9.9 Bank 2.3 2.6 2.2 1.9 2.7 Miscellaneous 17.0 1 1.8 18.7 17.1 19.1 1 Because of rounding, the percentages may not add to 100.0. 32 CRIME IN THE UNITED STATES tion lived in MSAs in 2003. Residents of cities outside MSAs accounted for 6.8 percent of the country's population, and 10.4 percent of the population lived in nonmetropolitan counties. (Based on Table 2, community type estimates.) The Nation's MSAs had a rate of 164.8 robberies per 100,000 inhabitants in 2003. Cities outside MSAs had a rate of 60.0 robberies per 100,000 inhabitants, and nonmetropolitan counties had a rate of 15.8 robberies per 100,000 in popu- lation. (See Table 2, community type estimates.) Population Groups: Trends and Rates The UCR Program aggregates crime statistics by population groups. (An explanation of these groupings can be found in Appendix III.) The Nation's cities collectively reported a 2.2-percent decrease in the number of robberies in 2003. Among population groups with the label city, cities with populations of 250,000 or more had the largest de- crease, 3.1 percent, in robberies from the 2002 figure. Cities with 10,000 to 24,999 inhabitants had the largest increase, 1.3 percent, in the volume of robberies reported to law enforcement. Metropolitan counties had a 0.6-percent increase in robberies; the number of robberies reported in nonmetropolitan counties remained virtually unchanged (+0. 1 percent) from the 2002 number. Additional data for population groups are provided in Table 12. In terms of the rate of robberies, the country's cities collectively had a rate of 201.1 robbery offenses per 100,000 inhabitants. Of the population groups, the Nation's largest cities, those with 250,000 or more inhabitants, had the highest rate at 379.7 robbery of- fenses per 100,000 inhabitants, and the Nation's smallest cities, those with less Figure 2.7 Robbery Categories Percent Change from 1999 Street/Highway 25 T 20 15 10 5 0 * -5 f - 3 6 -10 -4.6 -6.4 1999 2000 2001 2002 2003 Gas or service station 25 T 1999 2000 2001 2002 2003 Residence 25 T 2.0 10.4 18.0 15.2. 20 15 10 5 - 0 • -5 - -10 1999 2000 2001 2002 2003 9.9. -0.2 2.0 11.7 21.1m 6.3 J3.2 7.4 Commercial house 25 j 20- 15- 10- 5 - 0 •- -5 - -10- 1999 2000 2001 2002 2003 Convenience store 25- 20- 15- 10- 5 - 0 •' -5- -10- 3.1 1999 2000 2001 2002 2003 Bank 10.7 1999 2000 2001 2002 2003 OFFENSES REPORTED 33 than 10,000 inhabitants, had the low- est rate at 55.2 per 100,000 population. Law enforcement personnel in metro- politan counties reported 72.3 robberies per 100,000 inhabitants, and those in nonmetropolitan counties reported a rate of 16.7 offenses per 100,000 population. Robbery rates for each of the population groups are furnished in Table 16. Offense Analysis Supplemental data concerning robberies reported by law enforcement personnel to the national UCR Program during 2003 indicated the following: Robbery by Weapon An examination of information collected about weapons used in the commis- sion of a robbery showed that firearms were again the weapon of choice. Dur- ing 2003, offenders used firearms in 41.8 percent of all reported robberies. Strong-arm tactics such as hands, fists, and feet were used in 39.9 percent of robberies, and knives or other cutting instruments were used in 8.9 percent of robberies. Other weapons were em- ployed in 9.4 percent of the robberies reported in 2003. (See Tables 2.21 and 19.) Table 21 provides a state-by-state breakdown of the weapons used in rob- beries. Loss by Dollar Value Robbery offenders took an estimated $514 million from their victims in 2003. (Based on Tables 1 and 23.) Nationally, the average monetary value of property stolen during a robbery was $1,244. (See Table 23.) Banks lost an average of $4,767 per robbery, and commercial houses (such as supermarkets, depart- ment stores, restaurants, taverns, finance companies, hotels, and motels) lost an average of $1,778 per robbery. The es- timated value of losses from robberies of residences was $ 1 ,472 per robbery. Losses to victims of robberies on streets or highways averaged $898, and to vic- tims of robberies of convenience stores, $813. Owners of gas/service stations lost an average of $690 per robbery. Robberies that occurred at unspecified locations (denoted as miscellaneous) cost victims an average of $1,258 per incident. (See Table 23.) Robbery Trends by Location The only type of location for which law enforcement reported an increase in the number of robberies in 2003 when compared to 2002 data were residences at 2.4 percent. Among the types of loca- tions, the location type with the largest decrease, 3.0 percent, was convenience stores. The remaining location types and their decreases were gas/service sta- tions, 2.4 percent; banks, 2.2 percent; street/highway, 1 .9 percent; and com- mercial houses, 1.0 percent. Collective- ly, the number of robberies at miscel- laneous locations decreased 2.5 percent. (See Table 23.) Percent Distribution In 2003, 43.4 percent of all robber- ies occurred on streets or highways; 14.6 percent of all robberies happened in commercial houses. Robberies in residences accounted for 13.7 percent of robberies, and robberies of conve- nience stores made up 6.2 percent of the Nation's reported robberies. Robberies of gas/service stations accounted for 2.7 percent of the Nation's robberies, and robberies of banks comprised 2.3 Table 2.20 Robbery Percent Distribution by Population Group, 2003 Type \ u ON V'-T 1 0\1 ft -V Total' 100.0 100.0 100.0 100.0 100.0 100.0 100.0 Street/highway 51.7 43.6 42.2 33.4 28.6 25.4 31.2 Commercial house 12.3 16.6 15.3 16.5 17.5 14.9 17.9 Gas or service station 1.7 2.8 3.3 4.2 4.8 4.4 3.7 Convenience store 4.5 6.6 7.0 8.6 8.5 10.1 7.9 Residence 12.6 13.1 12.0 12.7 14.6 14.3 19.5 Bank 1.5 2.5 2.7 3.6 3.9 3.6 2.7 Miscellaneous 15.6 14.8 17.5 21.1 22.1 27.3 17.0 1 Because of rounding, the percentages may not add to 100.0. 34 CRIME IN THE UNITED STATES percent of all robberies in 2003. Sev- enteen percent of robberies occurred at miscellaneous venues. (See Table 23.) Clearances The UCR Program considers an of- fense to be cleared by arrest or solved for crime reporting purposes when at least one person is arrested, charged with the commission of the offense, and turned over to the court for prosecu- tion. A clearance by exceptional means can be recorded when the offender has been identified and located and there is enough evidence to support an arrest but conditions beyond law enforcement's control prevent the agency from bringing charges. Section III of this publication provides additional information regard- ing clearances. Nationally, law enforcement agen- cies cleared 26.3 percent of robberies; in the Nation's cities collectively in 2003, law enforcement personnel cleared 25.7 percent of robberies by arrest or excep- tional means. Among population groups labeled city, cities with less than 10,000 inhabitants had the highest percentage of robberies cleared at 33.6 percent; cities with populations of 250,000 and over had the lowest percentage of clearances at 23.0 percent. Law enforcement in metropolitan counties cleared 29.0 per- cent of reported robberies, and those in nonmetropolitan counties cleared 43.1 percent of robberies. (See Table 25.) Clearances and Juveniles When an offender under the age of 1 8 is cited to appear in juvenile court or before other juvenile authorities, the UCR Program considers the incident as cleared by arrest even though a physi- cal arrest may not have occurred. Also, the UCR Program considers clearances involving both juvenile and adult of- fenders as adult clearances. Throughout the Nation, 14.1 percent of robbery clearances involved only juveniles. In 2003, juveniles (persons under the age of 18) accounted for 14.2 percent of robbery clearances in the Nation's cit- ies collectively. An analysis of the data by population group showed that law enforcement in cities with populations of 50,000 to 99,999 inhabitants reported the highest percentage of clearances of robberies involving only juveniles at 15.6 percent; those in cities with popula- tions of 250,000 or greater reported the lowest percentage at 13.1 percent. In the country's metropolitan counties, 13.8 percent of robbery clearances involved juveniles only, and in the nonmetro- politan counties, 8.6 percent of robbery clearances involved juveniles only. (See Table 28.) Arrests Table 29 in this book provides the esti- mated number of arrests in the Nation for the 29 offenses for which the UCR Pro- gram collects arrest data. The remaining tables in Section IV of this publication contain actual arrest data for those agen- cies that provided 12 months of arrest data to the national UCR Program. Total Arrests In 2003, law enforcement agencies throughout the Nation reported an es- timated 107,553 arrests for robbery, which comprised 18.0 percent of all ar- rests for violent crime. (Based on Table 29.) Arrest Trends An examination of the number of arrests for robbery in the Nation showed that the volume of robbery arrests in 2003 re- mained virtually unchanged when com- pared to the number of arrests in 2002. Throughout the Nation, the number of arrests of adults for robbery decreased 0.8 percent, but the number of arrests of juveniles for robbery rose 2.5 percent when compared to the 2002 figure. (See Table 36.) The number of males ar- rested for robbery in 2003 was virtually unchanged (-0.2 percent), but the num- ber of females arrested for robbery rose 1 .6 percent when compared to the 2002 figure. (See Table 37.) The 5-year trend for arrest data for robbery showed that the number of arrests for robbery showed little change (+0.2 percent) when the 2003 data were compared to those from 1999. The number of juveniles arrested for robbery decreased 7.6 percent from the 1999 figure, but the number of adults arrested for robbery increased 3.0 percent. (See Table 34.) The number of males ar- rested for robbery in 2003 declined 0.4 percent from the 1999 figure; however, the number of females arrested for rob- bery rose 5.8 percent. (See Table 35.) The 10-year trend data for robbery arrests showed that the number of rob- bery arrests in 2003 declined 25.0 per- cent from the 1994 number. An exami- nation of that trend data by age showed that the number of arrests of juveniles for robbery dropped 43.1 percent and the number of arrests of adults fell 16.9 percent. (See Table 32.) By gender, a comparison of data regarding arrestees for robbery indicated that the number of males arrested for robbery in 2003 was 26.2 percent less than in 1994, and the number of females arrested for robbery was 12.4 percent less. (See Table 33.) Arrest Rates Nationally, the robbery arrest rate in 2003 was 37.1 arrests per 100,000 in- habitants. In those population groups la- beled as city, the rate of robbery arrests in cities collectively was 45.6 arrests per 100,000 inhabitants. Cities with popu- lations of 250,000 or more inhabitants had the highest rate at 76. 1 arrests per 100,000 inhabitants, and cities with less than 10,000 in population had the lowest OFFENSES REPORTED 35 rate at 19.5 arrests per 100,000 citizens. Law enforcement agencies in metropoli- tan counties recorded 22.9 robbery ar- rests per 100,000 inhabitants, and those in nonmetropolitan counties recorded 9.1 arrests for robbery per 100,000 in population. (See Table 31.) By region, law enforcement agen- cies in the Northeast reported 41.6 arrests for robbery per 100,000 popu- lation; those in the West, 39.6; in the South, 37.9; and in the Midwest, 28.5 arrests for robbery per 100,000 inhabit- ants. (See Table 30.) Distribution by Age, Sex, and Race An analysis of arrest data by age showed that adults comprised 76.3 percent of all persons arrested for robbery in the Na- tion in 2003. (Based on Table 38.) A gender breakdown of the data showed Table 2.21 Robbery, Types of Weapons Used Percent Distribution by Region, 2003 Armed Region Total all weapons 1 Firearms Knives or cutting instruments Other weapons Strongarm Total 100.0 41.8 8.9 9.4 39.9 Northeast 100.0 35.0 11.2 8.6 45.2 Midwest 100.0 43.4 6.3 10.0 40.3 South 100.0 47.9 8.0 9.6 34.6 West 100.0 35.3 10.3 9.5 44.9 1 Because of rounding, the percentages may not add to 100.0. that the majority (89.6 percent) of robbery arrestees were male. (See Table 42.) By race, 54.4 percent of robbery arrestees were black, 43.9 percent were white, and the remainder were of other races. (See Table 43.) Further breakdowns of robbery ar- restees by age and sex are presented in Tables 39 and 40. 36 CRIME IN THE UNITED STATES Aggravated A ssaul Definition According to the Uniform Crime Reporting (UCR) Program, an aggravated assault is an unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault is usually accompanied by the use of weapon or by means likely to produce death or great bodily harm. Attempts involving the display or threat of a gun, knife, or other weapon are included because serious personal injury would likely result if the assault were completed. Trend Year Rate per 100,000 Number of offenses inhabitants 2002 2003 891,407 857,921 Percent change -3.8 309.5 295.0 -4.7 National Volume, Trends, and Rates Nationally, 2003 marked the tenth consecutive decline in the volume of aggravated assaults. The estimated total, 857,921 offenses, represents a 3.8-percent decline from the 2002 figure. The 2003 estimate was 5.9 percent lower than the 1999 vol- ume and 22.9 percent below the volume recorded for 1994. Likewise, the rate of Figure 2.8 Aggravated Assault Percent Change from 1999 10 -10 Rate per 100.000 inhabitants -11.8 1999 2000 2001 2002 2003 aggravated assaults, 295.0 per 100,000 persons, decreased 4.7 percent from the previous year's rate. Five- and 10-year trend data revealed that the 2003 rate was 11.8 percent lower than the 1999 rate and 31.0 percent lower than the 1994 estimate. (See Table 1, national estimates.) Regional Offense Trends and Rates The UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the West. (A map delineating the regions can be found in Appendix III.) The offense of aggravated assault declined in both volume and rate per 100,000 persons in all four regions when comparing 2003 to 2002 estimates. The Northeast In 2003, the Northeast Region, which had the smallest proportion of the U.S. population (18.7 percent) also had the smallest proportion of aggravated as- saults, 14.3 percent of the total. (See Ta- ble 3, regional estimates.) States in the Northeast collectively had a 6.0-percent decline — the largest decline among the regions — in the number of aggravated assaults from 2002. These states also OFFENSES REPORTED 37 showed the largest decline in the rate of aggravated assaults: the 225.0 offenses per 100,000 persons was a 6.4-percent drop from the previous year's rate. (See Table 4, regional, divisional, state estimates.) The Midwest Accounting for 22.5 percent of the national population, the Midwest had approximately 18.2 percent of the ag- gravated assaults in 2003. (See Table 3, regional estimates.) Compared to 2002 data, the region had a 5.4-percent decline in the number of aggravated as- saults. The 2003 rate of 238.1 offenses per 100,000 persons was a 5.8-percent decrease from the 2002 rate. (See Table 4, regional, divisional, state estimates.) The South In 2003, the South, the Nation's most Table 2.22 Aggravated Assault by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 2003 January 7.9 7.5 7.5 7.5 7.5 February 7.0 7.2 6.7 6.7 6.4 March 8.0 8.3 8.1 8.0 8.3 April 8.3 8.4 8.5 8.4 8.5 May 9.1 9.3 9.0 9.0 9.2 June 8.8 8.9 8.9 9.2 9.1 July 9.5 9.5 9.6 9.6 9.4 August 9.2 9.1 9.0 9.4 9.4 September 8.5 8.6 8.8 9.4 8.7 October 8.6 8.6 8.7 8.4 8.7 November 7.7 7.3 7.7 7.3 7.7 December 7.5 7.2 7.5 7.1 7.1 Table 2.23 populous region (35.9 percent of the population), accounted for an estimated 43.3 percent of the aggravated assaults in the United States. (See Table 3, re- gional estimates.) The number of ag- gravated assault offenses dropped 3.6 percent from the prior year's estimate. The South had a rate of 355.1 aggra- vated assaults per 100,000 inhabitants, which represented a 4.8-percent decline from the 2002 rate. (See Table 4, regional, divisional, state estimates.) The West Comprising 22.9 percent of the popu- lation, the West accounted for a 24.3 percent of the aggravated assaults in the Nation in 2003. (See Table 3, regional estimates.) By volume, the number of offenses estimated for the Western States was 1 .4 percent lower than the 2002 estimate. The region had a rate of 313.8 aggravated assaults per 100,000 people. That rate was a decrease of 2.8 percent from the 2002 rate. (See Table 4, re- gional, divisional, state estimates.) Community Types The UCR Program classifies communi- ties as Metropolitan Statistical Areas (MSAs), metropolitan counties, and nonmetropolitan counties. MSAs are those community types made up of a principal city of at least 50,000 inhabit- ants, the county containing that city, and adjacent areas with strong economic or cultural ties to the principal city as measured through commuting. Metro- politan counties are composed of mostly incorporated areas, and nonmetropolitan counties are mostly unincorporated. MSAs, which accounted for 82.8 percent of the Nation's population and had 87.9 percent of the aggravated as- saults in 2003, had a rate of 313.1 aggra- vated assaults per 100,000 inhabitants. Cities outside metropolitan areas, with 6.8 percent of the population and 6.5 percent of aggravated assaults, had a rate of 283.0 aggravated assaults per 100,000 inhabitants. Nonmetropolitan coun- ties, accounting for 10.4 percent of the national population and 5.6 percent of aggravated assaults, had a rate of 159.0 aggravated assaults per 100,000 persons. (Based on Table 2, community type esti- mates.) Population Groups: Trends and Rates In order to establish a 2-year trend, the UCR Program reviewed data from all agencies that submitted aggravated as- sault data for at least 6 common months in both 2002 and 2003. Collectively, cities had a 5.1 -percent decline in the number of aggravated assaults in 2003, and the Nation's largest cities, those with populations of 250,000 and over, showed an 8.0-percent drop from the previous year's data. Nonmetropolitan counties experienced a decrease of 4.2 percent. Metropolitan counties recorded a decrease of 1.3 percent. (See Table 12.) The UCR Program calculated of- fense rates for the population groups by reviewing reports from all agencies that provided 12 months of data. Based upon that review, the Nation's cities collectively had an aggravated assault rate of 352.7 per 100,000 inhabitants. Aggravated Assault, Types of Weapons Used Percent Distribution by Region, 2003 Region Total all weapons' Firearms Knives or cutting instruments Other weapons (clubs. Muni objects, etc.) Personal weapons Total 100.0 19.1 18.2 35.9 26.9 Northeast 100.0 14.8 19.6 34.0 31.6 Midwest 100.0 18.0 16.7 34.9 30.3 South 100.0 21.0 19.9 38.2 20.9 West 100.0 18.2 15.5 33.3 33.0 1 Because of rounding, the percentages may not add to 100.0. 38 CRIME IN THE UNITED STATES Among the Nation's population groups labeled city, those with populations of 250,000 and over had the highest aggra- vated assault rate of 533.2 offenses per 100,000 persons. Within that popula- tion group, those cities with 500,000 to 999,999 had the highest rate, 537.4 per 100,000 individuals. Cities with popula- tions from 10,000 to 24,999 had the low- est rate of aggravated assaults, 212.9 per 100,000 inhabitants; the Nation's small- est cities, those with fewer than 10,000 in population, had a rate of 249. 1 . Col- lectively, agencies in metropolitan coun- ties recorded a rate of 242.8 aggravated assaults per 100,000 in population, and those in nonmetropolitan counties re- corded a rate of 175.1. (See Table 16.) Offense Analysis By weapon type, personal weapons, such as hands, fists, and feet, were used in 26.9 percent of the aggravated as- saults, firearms in 19.1 percent, and knives or other cutting instruments in 18.2 percent. Other weapon types were used in 35.9 percent of the aggravated assaults in 2003. (Based on Table 19.) A breakdown of the aggravated as- sault rates per 100,000 persons by type of weapon revealed the following: For every 100,000 individuals, there were 80.9 attacks using personal weapons (hands, fists, feet, etc.), 57.5 attacks us- ing a firearm, 54.8 attacks with a knife or cutting instrument, and 108.1 attacks using another weapon (blunt instrument, club, etc.). (See Table 19.) Clearances Nationwide in 2002, law enforcement agencies cleared 55.9 percent of re- ported aggravated assaults. Collectively, cities cleared 54.6 percent of aggravated assaults. Law enforcement agencies in the Nation's largest cities, those with populations of 250,000 and over, cleared 50.6 percent of the aggravated assaults that came to their attention. Agencies in the smallest cities (those with fewer than 10,000 in population) showed the highest percentage of clearances for the offense of aggravated assault — 64.5 percent. Agencies serving metropolitan counties cleared 58.8 percent, and those in nonmetropolitan counties cleared 62.9 percent of the reported aggravated as- saults in their jurisdictions. (See Table 25.) Law enforcement agencies na- tionwide cleared 63.9 percent of the aggravated assaults involving personal weapons such as hands, fists, or feet and 61.4 percent of the aggravated assaults involving knives or cutting instruments. In addition, agencies cleared 39.7 per- cent of the aggravated assaults that involved firearms and 55.6 percent of those that involved other weapon types. (See Table 27.) Law enforcement in the Northeast- ern states cleared the highest percentage of aggravated assaults, 61.9 percent. Law enforcement in the Western states cleared 57.1 percent of aggravated as- saults, followed by agencies in the Southern states with 54.2 percent, and those in the Midwestern states with 53.8 percent. (See Table 26.) Clearances and Juveniles When an offender under the age of 18 is arrested or cited to appear in juvenile court or before other juvenile authori- ties, the UCR Program considers that incident as a clearance by arrest. How- ever, according to Program definitions, clearances involving both adult and juvenile offenders are classified as adult clearances. Of all aggravated assault clear- ances reported nationally in 2003, 11.9 percent involved only juveniles, defined by the UCR Program as persons under the age of 18. In the Nation's cities, collectively, 12.0 percent of clearances for aggravated assault involved only ju- veniles. In metropolitan counties, 12.6 percent of aggravated assault clearances involved only persons under the age of 18; in nonmetropolitan counties, 9.4 percent of aggravated assault clearances involved only juveniles. (See Table 28.) Arrests In 2003, the UCR Program estimated ar- rests for aggravated assault at 449,933. Arrests for aggravated assault comprised an estimated 75.4 percent of all violent crime arrests and 3.3 percent of all ar- rests. (Based on Table 29, which pres- ents the estimated number of arrests for the Nation.) Arrest Trends Nationally, aggravated assault arrests declined 2.5 percent from the previous year's figure. (See Table 36.) The 5- and 10-year trend data showed declines in arrests for this offense of 4.6 percent and 12.3 percent, respectively. (See Tables 32 and 34.) Arrest Distribution by Age, Sex, and Race Of those persons arrested for aggra- vated assault in 2003, 86.3 percent were adults. (Based on Table 38.) A review of the total arrests for this offense in- dicated that 39.9 percent of arrestees were under the age of 25, approximately 25 percent (24.8) were under the age of 21, and 5.0 percent were under the age of 15. (See Table 41.) The number of adult arrests for aggravated assault declined 2.9 percent when compared to the number in 2002, 3.8 percent when compared to that in 1999, and 9.8 per- cent compared to the 1994 figure. The number of juveniles arrested for aggra- vated assault in 2003 showed virtually no change from the previous year's rate (+ 0.1 percent). However, the number of OFFENSES REPORTED 39 juveniles arrested for aggravated assault declined 9.1 percent from the 1999 total and 25.8 percent from the 1994 number. (See Tables 32, 34, and 36.) Persons arrested for aggravated assault during 2003 were overwhelmingly male — 79.3 percent. (See Table 42.) Of the males arrested for this offense, 86.8 percent were adults. Of juvenile males arrested for aggravated assault, 35.5 percent were under the age of 15. (Based on Table 39.) A review of the data concerning females arrested for aggravated assault demonstrated that 84.4 percent were adults. Of the female juveniles arrested for aggravated assault in 2003, 38.5 percent were under the age of 15. (Based on Table 40.) When distributed by race, the data showed that 64.7 per- cent of all persons arrested for aggravated assault were white and 33.0 percent were black. The two other racial groups, Asian or Pacific Islanders and American Indians or Alaskan Natives, accounted for 1.2 percent and 1.1 percent of arrestees, respectively. (See Table 43.) 40 CRIME IN THE UNITED STATES Property Crime Definition In the Uniform Crime Reporting (UCR) Program, property crime includes the offenses of burglary, larceny-theft, mo- tor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. The property crime category includes arson because the offense involves the destruction of property; however, arson victims may be subjected to force. Because of limited participation and varying collection procedures by local agencies, only limited data are available for arson. Arson statistics are included in trend, clearance, and arrest tables throughout Crime in the United States, but they are not included in any estimated volume data. The arson section in this report provides more information on that offense. Trend Year Number of offenses' Rate per 100,000 inhabitants' 2002 2003 10,455,277 10,435,523 Percent change -0.2 'Does not include arson. See Offense Tabulations. 3,630.6 3,588.4 -1.2 Figure 2.9 Property Crime Percent Change from 1999 0 »v Volume Rate per 100,000 inhabitants 1999 2000 2001 2002 2003 National Volume, Trends, and Rates Volume In 2003, law enforcement agencies re- ported an estimated 10,435,523 property crimes. The figure was 0.2 percent low- er than the 2002 estimate. Further trend analyses of 5- and 10-year volumes for property crime indicated that the 2003 figure was 2.2 percent higher than the 1999 number and 14.0 percent lower than the number in 1994. (See Table 1, national estimates.) Among individual property crimes in 2003, burglary offenses rose 0.1 per- cent, and motor vehicle theft increased 1 . 1 percent when compared to the 2002 estimates. Larceny-theft decreased 0.5 percent. (See Table 1, national estimates.) Rate The Nation's rate of property crime of- fenses in 2003 was measured at 3,588.4 offenses per 100,000 inhabitants. The 2003 rate decreased 1 .2 percent com- pared to the previous year's rate. When OFFENSES REPORTED 41 measured against the rates from 5 and 10 years ago, property crime rates declined 4.1 percent from the 1999 rate and fell 23.0 percent from the 1994 rate. (See Table 1, national estimates.) Regional Offense Trends and Rates The UCR Program divides the United States into four regions for data analy- ses: the Northeast, the Midwest, the South, and the West. (Appendix III provides more information on UCR area definitions.) An examination of 2003 data showed the following information regarding the Nation's four regions. The Northeast Property crimes reported by law en- forcement agencies in the Northeast ac- counted for an estimated 12.6 percent of property crimes nationwide. (See Table 3, regional estimates.) Compared to the 2002 volume, property crime decreased 2.3 percent in the Northeast in 2003. The rate of property crime offenses in the Northeast— 2,410.1 per 100,000 inhabitants — also showed a decline, 2.7 percent from the previous year's rate. (See Table 4, regional, divisional, state estimates.) Table 2.24 Property Crime by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 20O? January 8.0 7.8 7.8 8.3 8.0 February 7.2 7.3 6.8 7.0 6.7 March 8.0 8.2 7.8 7.8 8.0 April 7.9 7.9 7.9 8.0 8.2 May 8.3 8.6 8.5 8.5 8.6 June 8.6 8.6 8.5 8.4 8.5 July 9.1 9.1 9.1 9.2 9.1 August 9.2 9.2 9.1 9.0 8.9 September 8.5 8.5 8.5 8.6 8.7 October 8.7 8.8 9.2 8.8 8.8 November 8.2 8.1 8.5 8.1 8.1 December 8.4 8.0 8.5 8.3 8.3 The Midwest Property crimes reported by the Mid- west's law enforcement agencies were estimated at 21.1 percent of the Nation's property crime total. (See Table 3, re- gional estimates.) The region's volume showed a 2. 3 -percent decrease from the 2002 volume. When compared to the 2002 rate, the Midwest's property crime rate, 3,369.5 property crimes per 100,000 inhabitants, declined 2.7 per- cent. (See Table 4, regional, divisional, state estimates.) The South Law enforcement agencies in the South had an estimated 41.2 percent of the property crimes nationwide. (See Table 3, regional estimates.) A comparison to the previous year's volume showed that property crime reported for 2003 increased 0.3 percent in the South. The 2003 rate of 4,1 15.6 property crimes per 100,000 population in the South was a 1 .0-percent decrease from the 2002 rate. (See Table 4, regional, divisional, state estimates.) The West Law enforcement agencies in the West had an estimated 25.1 percent of the Na- tion's property crime. (See Table 3, re- gional estimates.) The volume of prop- erty crime offenses in the West increased 2.0 percent from the volume reported for 2002. The West's property crime rate of 3,939.3 offenses per 100,000 population was 0.5 percent above the rate for the previous year. (See Table 4, regional, divisional, state estimates.) Community Types When presenting crime data, the UCR Program designates three types of communities: Metropolitan Statisti- cal Areas (MSAs), cities outside of MSAs, and nonmetropolitan counties. In 2003, MSAs, which accounted for an estimated 82.8 percent of the Nation's population, had an estimated prop- erty crime rate of 3,783.0 offenses per 100,000 persons. Cities outside MSAs, with 6.8 percent of the population, had a rate of 4,147.5 property offenses per 100,000 inhabitants. Nonmetropolitan counties, making up 10.4 percent of the overall population, had a rate of 1,677.1 property crimes per 100,000 in popula- tion. (See Table 2, community type es- timates.) For more information on UCR area definitions, see Appendix III. Population Groups: Trends and Rates The UCR Program aggregates crime statistics by population groups; an expla- nation of these groupings can be found in Appendix III. Among population groups in 2003, property crime de- creased 0.3 percent in the Nation's cities collectively. Changes from the 2002 percentage for city groupings ranged from a 1 .2-percent increase in property crime in the Nation's smallest cities, those with populations less than 10,000 inhabitants, to a 1 .2-percent decrease in the Nation's largest cities, those with 250,000 and over in population. (See Table 12.) In terms of reported property crime, the Nation's cities collectively had a property crime rate of 4,342.8 per 100,000 population. Nonmetropolitan counties had a property crime rate of 1,808.2 per 100,000 people, and met- ropolitan counties experienced a rate of 2,650.9 property crime offenses per 100,000 inhabitants. (See Table 16.) Offense Analysis In 2003, the estimated dollar loss at- tributable to property crimes (excluding arson) was nearly $17 billion. This figure represented an increase of 2. 1 per- cent from the 2002 estimated dollar loss 42 CRIME IN THE UNITED STATES for property crime. (Based on Table 1, which provides national estimates, and Table 23, which includes data from law enforcement agencies submitting at least 6 months of complete offense reports for 2003.) Among the individual property crimes, the 2003 estimated dollar losses were $3.5 billion for burglary, $4.9 billion for larceny-theft, and $8.6 bil- lion for motor vehicle theft. (Based on Tables 1 and 23.) Arson (which is excluded from the estimated property crime tabulations because of limited coverage and participation) had an aver- age dollar loss of $1 1,942 for the 64,043 offenses for which monetary values were reported. (See Table 2.31.) Clearances In the UCR Program, law enforcement can clear offenses either by arrest or by exceptional means, i.e., when elements beyond the control of law enforcement prevent the placing of formal charges against the offender. (Section III pro- vides more information regarding clear- ances.) During 2003, law enforcement nationwide cleared 16.4 percent of re- ported property crimes. (See Table 25.) By region in 2003, law enforce- ment in the Northeast cleared 20. 1 percent of property crimes; law enforce- ment in the South cleared 16.6 percent, followed by the Midwest with 16.5 per- cent, and the West with 14.4 percent of reported property crime. (See Table 26.) Law enforcement in the Nation's cities collectively cleared 16.3 percent of property crimes in 2003. In nonmet- ropolitan counties, law enforcement cleared 17.8 percent of property crimes and in metropolitan counties, 16.2 per- cent. (See Table 25.) Among the population groups labeled city, law enforcement in cities with populations of 10,000 to 24,999 had the greatest percentage of property crimes cleared, 20.7 percent. Law en- forcement in the nation's largest cities, those with populations of over 250,000 inhabitants, cleared the lowest percent- age of property crimes during 2003, 12.8 percent. (See Table 25.) Clearances and Juveniles For UCR purposes, when an offender under the age of 1 8 is cited to appear be- fore juvenile authorities, the incident is cleared by arrest, even though a physical arrest may not have occurred. Addition- ally, clearances involving both adult and juvenile offenders are classified as adult clearances. In 2003, clearances involving only juveniles (persons under the age of 18) comprised 19.3 percent of all property crime clearances. By offense breakdown, this age group accounted for 16.8 percent of burglary clearances, 20.2 percent of larceny-theft clearances, and 17.3 percent of motor vehicle theft clear- ances. In the Nation's cities during 2003, juvenile clearances accounted for 20.1 percent of all property crime clearances. In nonmetropolitan counties, 15.7 per- cent of the clearances involved juveniles only and in the metropolitan counties, 16.7 percent. (See Table 28.) Arrests Total Arrests Table 29 in this publication provides the estimated number of arrests in the Na- tion for the 29 offenses for which the UCR Program collects arrest data. The remaining tables in Section IV of this publication contain actual arrest data for those agencies that provided 12 months of arrest data to the national Program. Law enforcement agencies made an estimated 1.6 million arrests during 2003 for property crime offenses (in- cluding arson). Property crime arrests accounted for an estimated 11.8 percent of all arrests. Of the estimated arrests for property crimes, arrests for larceny- theft offenses comprised the largest per- centage, 71.3 percent. (Additional arrest breakdowns can be found in Table 29.) Arrest Rates In 2003, the national property crime arrest rate was 558.4 per 100,000 inhab- itants. Among the regions, the South had the highest arrest rate for property crimes with 604.0 arrests per 100,000 persons. The West had the second high- est rate for property crime arrests with 582.2, followed by the Midwest with 562.1, and the Northeast with 438.4 property crime arrests per 100,000 in- habitants. (See Table 30.) Collectively, the Nation's cities recorded an overall property crime ar- rest rate of 661.1 arrests per 100,000 inhabitants. Among those population groups labeled as city, the rate of arrests per 100,000 residents ranged from a low of 604.6 in cities with populations under 1 0,000 to a high of 7 1 1 .5 in cities with 50,000 to 99,999 in population. The Nation's metropolitan counties had an arrest rate of 361.6 property crime ar- rests per 100,000 people, and nonmetro- politan counties experienced 277.0 prop- erty crime arrests per 100,000 residents. (See Table 31.) Arrest Trends A comparison of the volume of property crime arrests from 2003 to 2002 showed a 0.7-percent increase in the overall cat- egory. Property crime arrests increased for burglary by 2.2 percent, for motor vehicle theft by 0.8 percent, and for larceny-theft by 0.5 percent. Arson ar- rests declined by 5.8 percent. Arrests of adults for property crime in 2003 were up 2.3 percent when compared to the 2002 figure, but arrests of juveniles de- clined 2.9 percent when compared to the OFFENSES REPORTED 43 previous years' arrests. (See Table 36.) An analysis of 5-year and 10-year trend data revealed a nationwide decline in the number of arrests for property crimes from the 1999 and 1994 levels. Property crime arrests in 2003 were 3.3 percent less than in 1999 and 23.4 percent fewer than in 1994. Tables 32 and 34 provide more informa- tion regarding trend data. Distribution by Age, Sex, and Race Tables 38-43 in Section IV of this report include informa- tion on the age, sex, and race of persons arrested for property crimes. In 2003, a total of 71.1 percent of persons arrested for property crime were adults (persons 18 years and older). Of the adults arrested for property crime offenses, 40. 1 percent were 18 to 24 years of age. By gender, 69.2 percent of all persons arrested for property crime were male. By race, 68.2 percent of all persons arrested for property crime were white, 29.1 percent were black, and 2.6 percent were of other races. (See Tables 38, 42, and 43.) Information regarding the UCR Program's statistical methodology and table construction can be found in Appendix I. 44 CRIME IN THE UNITED STATES Burglary Definition Burglary is defined in the Uniform Crime Reporting (UCR) Program as the unlawful entry of a structure to commit a felony or a theft. The use of force to gain entry is not re- quired to classify an offense as a burglary. Burglary in the UCR Program is categorized into three subclassifications: forcible entry, unlawful entry where no force is used, and attempted forcible entry. Trend Year 2002 2003 Percent change Rate per 100,000 Number of offenses inhabitants 2,151,252 2,153,464 747.0 740.5 +0.1 -0.9 National Volume, Trends, and Rates In 2003, burglary offenses in the Nation were estimated at 2,153,464; this number remained virtually unchanged (+0.1 percent) when compared to the 2002 estimate. Burglary offenses accounted for 20.6 percent of all property crimes. Five- and 10- year trends showed that the burglary volume increased 2.5 percent when compared to the 1999 estimate, but fell 20.6 percent when compared to 1994 estimate. (See Table 1, national estimates.) Figure 2.10 Burglary Percent Change from 1999 5 t -5 - Volume -• Rate per 100,000 inhabitants The estimated burglary rate in 2003 was 740.5 offenses per 100,000 inhabitants. Two-, 5-, and 10-year trend data showed that the 2003 rate was a 0.9-percent decrease when compared to the estimated burglary rate in 2002, a 3.9-percent decrease from the 1999 rate, and a 28.9-percent decrease from the 1994 rate. (See Table 1, national estimates.) Regional Offense Trends and Rates The UCR Program divides the United States into four regions: the Northeast, the Midwest, the South, and the West. (See Appendix III.) In 2003, data col- lected regarding the Nation's four regions reflected the following: The Northeast The Northeast, comprising 18.7 percent of the U.S. population, had an estimated 1 1.3 percent of the burglaries nation- wide. A comparison with 2002 data showed that in 2003 the Northeast ex- perienced a 2.2-percent decrease in the estimated volume of burglaries. The rate of 446.3 burglaries per 100,000 persons was a 2.6-percent decrease from the 2002 rate. (See Tables 3 and 4, regional estimates.) 1999 2000 2001 2002 2003 OFFENSES REPORTED 45 The Midwest The Midwest, accounting for 22.5 per- cent of the country's population, had an estimated 20.1 percent of all burglaries. In 2003, the region experienced a 3.2- percent decrease in the estimated vol- ume of burglaries from the 2002 estimate. The 2003 rate of an estimated 661.3 burglaries per 100,000 inhabit- ants was a 3.6-percent decrease from the 2002 estimate. (See Tables 3 and 4, regional estimates.) The South In 2003, the South, the Nation's largest region having 35.9 percent of the U.S. population, experienced an estimated 45.1 percent of the Nation's burglar- ies — a 0.8-percent increase from the 2002 estimate. The estimated rate of 928.5 burglaries per 100,000 inhabitants was a 0.5-percent decrease when com- pared to the 2002 rate. (See Table 3 and 4, regional estimates.) The West With 22.9 percent of the Nation's popu- lation, the West had an estimated 23.6 percent of all burglaries. When com- pared to the 2002 estimated volume, the region experienced a 2.9-percent in- crease in 2003. This was the only region that showed an increase in the burglary Table 2.25 Burglary by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 2003 January 8.3 8.1 7.9 8.5 8.1 February 7.2 7.2 6.6 6.9 6.4 March 7.9 8.0 7.6 7.7 7.8 April 7.7 7.8 7.7 7.8 8.1 May S.2 8.5 8.3 8.5 8.6 June 8.4 8.4 8.2 8.2 8.4 July 9.0 9.2 9.1 9.1 9.1 August 9.1 9.2 9.1 9.0 8.9 September 8.7 8.6 8.6 8.7 8.8 October 8.6 8.7 9.3 8.8 8.9 November 8.4 8.3 8.9 8.2 8.2 December 8.5 8.1 8.8 8.5 8.5 rate with an estimated 763.6 burglar- ies per 100,000 persons, up 1.4 percent from the 2002 rate. (See Tables 3 and 4, regional estimates.) Community Types Metropolitan Statistical Areas (MSAs), which made up approximately 82.8 percent of the total U.S. population, ac- counted for an estimated 84.7 percent of the Nation's burglaries. MSAs had a burglary rate estimated at 757.7 burglar- ies per 100,000 persons in 2003. Cities outside of MSAs, which comprised ap- proximately 6.8 percent of the Nation's population, accounted for 7.5 percent of the burglaries, and these communi- ties had a rate of 815.8 burglaries per 100,000 in population. Nonmetropolitan areas, which comprised approximately 10.4 percent of the U.S. population, ac- counted for an estimated 7.8 percent of the country's burglaries. These ar- eas had a rate of 554.9 burglaries per 100,000 inhabitants. (See Table 2, community type estimates.) Population Groups: Trends and Rates An examination of the data by popula- tion group showed that, collectively, those cities with populations under 10,000 experienced the largest year-to- year increase, 1 .5 percent, in reported burglaries from 2002 to 2003. Those cities with populations of 250,000 and over had the largest decrease, 0.4 percent, from the 2002 volume. The Nation's cities collectively saw a 0.2- percent increase in the number of bur- glaries reported in 2003 when compared to the number of burglaries reported in 2002. Metropolitan counties had an in- crease of 0.2 percent, and nonmetropoli- tan counties had a decrease in burglaries of 0.7 percent when compared to the 2002 numbers. (See Table 12.) In 2003, the Nation's cities col- lectively had a rate of 829.5 burglaries per 100,000 persons. Those cities with populations 250,000 and over had the highest rate among all population groups at 979.6 burglaries per 100,000 inhabit- ants. Cities with populations of 10,000 to 24,999 had the lowest burglary rate among the Nation's cities, 645.9 offens- es per 100,000 persons. Metropolitan counties had a rate of 637.9 burglaries per 100,000 in population, and nonmet- ropolitan counties had a rate of 584.5 burglaries per 100,000 persons. (See Table 16.) Offense Analysis Among those agencies that reported burglary statistics for all 12 months of 2003, the data showed that forcible entry burglaries accounted for 62.4 percent of the burglary offenses, unlawful entry comprised 31.2 percent, and attempted forcible entry accounted for approxi- mately 6.3 percent. (Based on Table 19.) The majority of burglaries, 65.8 percent, were residential, and the re- maining 34.2 percent were of nonresi- dences, such as stores and offices. The data also showed that most residential burglaries, 62.0 percent, occurred during daytime hours, and most nonresiden- tial burglaries, 58.4 percent, occurred at night. The time of occurrence was unknown for 25.3 percent of burglaries. (Based on Table 23.) Losses due to burglaries totaled an estimated $3.5 billion in 2003, with an average value of $1,626 per offense. The losses in residential burglaries aver- aged $1,600 per offense, and in nonresi- dential burglaries $1,676 per offense. (Based on Tables 1 and 23.) 46 CRIME IN THE UNITED STATES Figure 2.11 Clearances The UCR Program considers an offense to be cleared by arrest or "solved" when at least one person is arrested, charged with the commission of the offense, and turned over to the court for prosecu- tion. A clearance by exceptional means can be recorded when the offender has been identified and located and there is enough evidence to support an arrest, but conditions beyond law enforcement's control prevent an agency from bringing charges. (More information about clear- ances is available in Section III of this publication.) In 2003, law enforcement cleared 13.1 percent of reported burglaries by arrest or exceptional means. Agencies in cities overall cleared 12.5 percent of burglaries. Within population groups labeled as city, those cities with under 10,000 in population showed 16.5 per- cent of reported burglaries as cleared, the highest percentage of clearances among the Nation's cities. Law en- forcement in the Nation's largest cities, those cities with populations 250,000 and over, cleared the lowest percentage of burglaries, 11.0 percent. In nonmet- ropolitan counties, law enforcement cleared 16.3 percent of reported burglary offenses, and in metropolitan counties, they cleared 13.8 percent. (See Table 25.) Regionally, law enforcement agencies in the Northeast cleared 17.3 percent of the burglaries brought to their attention. Those in the South cleared 13.1 percent of reported burglaries; in the Midwest, 12.1 percent; and in the West, 11.8 percent. (See Table 26.) Burglaries involving unlawful en- try without use of force were cleared by arrest or exceptional means in 14.1 per- cent of the reported cases during 2003. Approximately 12.4 percent of forcible entry burglaries and 1 1.0 percent of at- tempted forcible entry burglaries were cleared. (See Table 27.) Clearances and Juveniles The UCR Program considers an incident involving only offenders under the age of 1 8 to be cleared by arrest when an offender is cited to appear in juvenile court or before other juvenile authori- ties, even though a physical arrest may not have occurred. Clearances involving both adult and juvenile offenders are classified as adult clearances. Therefore, clearances involving juveniles who may be participating in a burglary with an adult were not included in these figures. In 2003, only persons under 18 years of age were involved in 16.8 per- cent of the burglaries cleared by arrest or exceptional means. A review of the data by city population group showed OFFENSES REPORTED 47 that cities with populations under 10,000 had the highest per- centage of clearances involving only juveniles at 20.3 percent. Cities with populations of 250,000 and over had the lowest percentage of cleared offenses involving juveniles only at 13.3 percent. Nonmetropolitan county agencies reported that 16.2 percent of the burglary clearances in their jurisdictions were of juveniles, and metropolitan county agencies reported 17.0 per- cent of their burglary clearances involved juveniles only. (See Table 28.) Arrests The estimated number of burglary arrests for 2003 was 290,956. Burglary arrests accounted for an estimated 18.1 percent of the arrests for property crimes. (Based on Table 29.) The remaining tables in Section IV of this publication provide actual arrest totals for agencies that submitted 12 months of arrest data to the UCR Program. In 2003, law enforcement agencies in the West reported 122.0 burglary arrests per 100,000 inhabitants. Agencies in the South reported an arrest rate of 107.5, the Midwest a rate of 79.9, and law enforcement in the Northeast, a rate of 78.1 burglary arrests per 100,000 in population. (See Table 30.) Law enforcement in the Nation's cities collectively reported a rate of 106.3 arrests for burglary per 100,000 inhabitants. Those in cities with populations of 25,000 to 49,999 reported the fewest arrests for burglaries per 100,000 inhabitants, 89.4. Law enforcements in cities with 100,000 to 249,999 inhabitants reported the highest number of arrests per 100,000 population, 125.5. Those in metropolitan and non- metropolitan counties reported rates of 85.5 and 92.3 arrests for burglary per 100,000 inhabitants, respectively. (See Table 31.) Five- and 10-year trend data showed that burglary ar- rests overall declined 0.3 percent from burglary arrest totals in 1999 and 23.5 percent from the 1994 number. Additionally, in 2003, arrests of adults for burglary increased 7.1 percent when measured against the number of adults arrested for burglary in 1999 but declined 13.8 percent when compared to 1994 arrest data; arrests of juveniles declined 14.7 percent from the 1999 figure and 39.8 percent from the 1994 figure. (See Tables 32 and 34.) When compared to 2002 data, overall arrests for burglar- ies in 2003 increased 2.2 percent. Arrests of adults increased 3.8 percent; however, arrests of juveniles declined 1.2 percent. (See Table 36.) In 2003, males accounted for 86.3 percent of burglary arrestees. (See Table 42.) Of the male arrestees, 29.9 percent were juveniles (under 18 years of age). (Based on Table 39.) Of the female arrestees, 25.2 percent were juveniles. (Based on Table 40.) By race, 70.5 percent of all burglary arrestees in 2003 were white, 27.5 percent were black, and 2.0 percent were of other races. Of those adults arrested for burglary, 70.2 percent were white, 28.0 percent were black, and 1.8 percent were of other races. Of burglary arrestees under 18 years of age, 71.4 percent were white, 26.1 percent were black, and 2.5 percent were of other races. (See Table 43.) 48 CRIME IN THE UNITED STATES Larceny-theft Definition Larceny-theft is defined as the unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. It includes crimes such as shoplifting, pocket-picking, purse-snatching, thefts from motor vehicles, thefts of motor vehicle parts and accesso- ries, bicycle thefts, etc., in which no use of force, violence, or fraud occurs. In the Uniform Crime Reporting (UCR) Program, this crime category does not include embezzle- ment, confidence games, forgery, and worthless checks. Motor vehicle theft is also excluded from this category inasmuch as it is a separate offense. Trend Year 2002 2003 Rate per 100,000 Number of offenses inhabitants Percent change 7,057,379 7,021,588 -0.5 2,450.7 2,414.5 -1.5 National Volume, Trends, and Rates In 2003, there were more than 7 million estimated larceny-thefts in the Nation, which cost victims an estimated $4.9 billion in losses. (Based on Table 1, which Figure 2.12 Larceny-theft Percent Change from 1 999 0 V -5 - Volume Rate per 100,000 inhabitants includes national estimates, and Table 23, which includes data from those agencies supplying at least 6 months of complete offense reports.) Larceny-theft offenses in the United States accounted for 67.3 percent of the estimated total property crimes, i.e., burglary, larceny-theft, and motor vehicle theft. When 2003 data were compared to 2002 data, the estimated number of larceny-thefts in the Nation decreased 0.5 percent. Five- and 10-year trends showed that the estimated volume of larceny-thefts in the Nation increased 0.9 percent from the 1999 estimate but decreased 10.9 percent when compared to the 1994 estimate. (See Table 1, national estimates.) The rate of larceny-thefts in the Nation for 2003 was an estimated 2,414.5 offenses per 100,000 inhabit- ants, a 1.5-percent decrease from the 2002 rate. The 2003 estimated rate re- flected a 5. 3 -percent decrease from the 1999 rate and a 20.2-percent drop from the 1994 rate. (See Table 1, national estimates.) 1999 2000 2001 2002 2003 OFFENSES REPORTED 49 Regional Offense Trends and Rates The UCR Program divides the Nation into four regions: the Northeast, the Midwest, the South, and the West. (See Appendix III for a map delineating the regions.) By region, larceny-theft data for 2003 reflected the following: The Northeast The Northeast accounted for 18.7 per- cent of the Nation's total estimated pop- ulation and an estimated 13.0 percent of the country's larceny-theft offenses. The estimated volume of larceny-theft offenses occurring in the region dur- Table 2.26 Larceny-theft by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 2003 January 7.8 7.6 7.7 8.1 7.9 February 7.2 7.3 6.8 7.0 6.8 March 8.0 8.2 7.8 7.8 8.1 April 8.0 7.9 8.0 8.1 8.3 May 8.4 8.6 8.6 8.6 8.7 June 8.7 8.8 8.6 8.5 8.6 July 9.1 9.2 9.1 9.2 9.1 August 9.2 9.2 9.1 9.1 9.0 September 8.5 8.5 8.4 8.6 8.6 October 8.7 8.8 9.1 8.9 8.8 November 8.1 8.0 8.3 8.0 8.0 December 8.3 7.9 8.4 8.1 8.2 ing 2003 declined 2. 1 percent from the 2002 estimate. Among the regions, the Northeast had the lowest rate of larceny- theft offenses per 100,000 inhabitants, estimated at 1,673.0; this was a decline of 2.5 percent from the 2002 rate. (See Tables 3 and 4, regional estimates.) The Midwest With 22.5 percent of the Nation's popu- lation, the Midwestern states accounted for 21.9 percent of the Nation's larceny- thefts in 2003 . Those data reflected a 2.3-percent decrease in the volume of larceny-theft offenses when compared to the 2002 estimate. The Midwest had an estimated 2,351.2 larceny-theft offenses per 100,000 in population, which was a 2.8-percent decline from 2002 data. (See Tables 3 and 4, regional estimates.) The South The Nation's most populous region, the South, with 35.9 percent of the U.S. population, had 41.3 percent of the Nation's larceny-theft offenses in 2003. From 2002 to 2003, the number of lar- ceny-theft offenses increased slightly, 0.3 percent, but the rate — 2,771.0 per 100,000 population — decreased 1.0 percent. (See Tables 3 and 4, regional estimates.) Table 2.27 Larceny-theft Percent Distribution by Region, 2003 Type United States total Northeast Midwest South West Total 1 100.0 100.0 100.0 100.0 100.0 Pocket-picking 0.5 0.9 0.4 0.4 0.4 Purse-snatching 0.6 1.2 0.5 0.5 0.6 Shoplifting 14.4 15.4 13.6 14.0 15.1 From motor vehicles (except accessories) 26.4 21.1 23.2 25.0 33.0 Motor vehicle accessories 11.1 9.1 1 1.0 11.7 11.3 Bicycles 3.9 5.2 4.3 3.1 4.1 From buildings 12.4 16.1 14.2 10.6 12.0 From coin-operated machines 0.7 0.7 0.7 0.9 0.7 All others 30.0 30.4 32.1 33.8 23.0 1 Because of rounding, the percentages may not add to 100.0. 50 CRIME IN THE UNITED STATES The West Nearly twenty-three percent (22.9) of the Nation's population resided in the West in 2003, and this region accounted for an estimated 23.9 percent of the total larceny-thefts during that year. Despite a 0.8-percent increase in the estimated number of larceny-thefts during 2003, the West recorded a 0.7-percent decline in the rate when compared to 2002 esti- mate — 2,522.9 larcenies per 100,000 in- habitants. (See Tables 3 and 4, regional estimates.) Community Types The UCR Program compiles data for three community types: Metropolitan Statistical Areas (MSAs), cities outside metropolitan areas, and nonmetropoli- tan counties. (Additional information regarding community types is located in Appendix III.) Nearly 83 percent (82.8) of the Nation's estimated popu- lation resided an MSAs in 2003, 6.8 percent lived in cities outside MSAs, and 10.4 percent of the population lived in nonmetropolitan counties. (Based on Table 2, community type estimates.) The Nation's MSAs had a rate estimated at 2,534.3 larceny-theft offenses per 100,000 inhabitants during 2003. Cities outside MSAs had a rate of 3,132.2, and nonmetropolitan counties had a rate of 993.6 larceny-thefts per 100,000 inhab- itants. (See Table 2, community type estimates.) Population Groups: Trends and Rates The UCR Program aggregates crime statistics into population groups. A list of these groups is located in Appendix III. Collectively, the Nation's cities had a 0.6-percent decrease in the number of larceny-thefts in 2003 when compared to the 2002 figure. The largest decline, 1.4 Figure 2.13 Larceny-theft Categories Percent Change from 1999 Pocket-picking Purse-snatching 25 T 20 15 10- 5 -- 0 -5 -10- -15 -20- Shoplifting 1999 25- 20- 15- 10- 5 - 0 -5- -10- -15- -20- 1999 From motor vehicles (except accessories) 25 T 20 - 15 - 10 - 5 - 0 . -5 - -10 - -15 - -20 - Motor vehicle accessories 25 T 20- 15- 10- 9.1 % ■ 5 - * V " 0 «*^--- -5- -10- -15- -20- Bicycles From buildings 25 20 15- 10 5 0 -5 -10 -15- -20 1999 From coin-operated machines 25- 20- 15- 10- 5- o — .5- -2.0 -10- -15- -20- 1999 2000 11.6 14.1 2002 2003 OFFENSES REPORTED 51 percent, occurred in the Nation's largest cities, those with 250,000 or more in- habitants. The Nation's smallest cities, those with under 10,000 inhabitants, had a 1.1 -percent increase in larceny-thefts when comparing 2003 to 2002 data. Metropolitan counties showed a 0.5-per- cent decline in larcenies between 2003 and 2002. Over the same time frame, nonmetropolitan counties experienced a 1 .2-percent increase in the number of larceny- thefts. (See Table 12.) An examination of the rate of lar- ceny-theft by population group indicated that the Nation's cities, collectively, had 2,951.7 larcenies per 100,000 inhabit- ants in 2003. Of the city population groups, those cities with 100,000 to 249,999 inhabitants had the highest rate, 3,297.7 reported larceny-thefts per 100,000 inhabitants. Cities with popula- tions of 10,000 to 24,999 inhabitants had the lowest rate, 2,583.4 larceny-thefts per 100,000 population. Metropolitan counties had a rate of 1,689.6 larceny- Figure 2.14 Larceny-theft Percent Distribution, 1 2003 Pocket-picking 0.5% Purse-snatching 0.6% From coin-operated machines 0.7% 1 Due to rounding, the percentages may not add to 100.0. 52 CRIME IN THE UNITED STATES thefts per 100,000 population, and nonmetropolitan counties had a rate of I, 084.1 per 100,000 inhabitants. (See Table 16.) Offense Analysis Distribution A breakdown of larceny-theft offenses showed that thefts from motor vehicles accounted for 26.4 percent of reported larceny-thefts in the Nation during 2003. Shoplifting accounted for 14.4 percent of larceny-thefts, and thefts from buildings made up 12.4 percent of the larceny-theft total. The theft of motor vehicle parts and accessories comprised II. 1 percent of larcenies, and the theft of bicycles accounted for 3.9 percent of larceny-thefts. Thefts from coin-oper- ated machines, purse-snatchings, pocket- pickings, and other miscellaneous types of larceny-thefts comprised the remain- der. (See Table 23.) Loss by Dollar Value Larceny-theft offenses cost an estimated $4.9 billion in lost property in 2003. (Based on Table 1, which includes na- tional estimates, and Table 23, which includes data from those agencies sup- plying at least 6 months of complete offense reports.) The average value of property stolen per offense, $698, remained virtually unchanged from the 2002 average value of $699. (See Table 23.) In 2003, the larceny-theft category with the highest average loss, $1,030, was thefts from buildings. For thefts from motor vehicles, the average value loss was $680, and for thefts of mo- tor vehicle parts and accessories, the average loss was $442. Purse-snatch- ings had an average value loss of $367; pocket-pickings, $294; and thefts of bi- cycles, $247. Thefts from coin-operated machines had an average loss of $262. The larceny-theft category with the low- est average dollar value was shoplifting at $163. (See Table 23.) An examination of larceny-theft offenses by monetary value indicated that incidents in which the stolen prop- erty was valued at over $200 accounted for 39.3 percent of all reported larceny- thefts. Property valued at under $50 made up 38.1 percent of the reported lar- ceny-theft offenses, and property valued from $50 to $200 made up 22.6 percent of the larcenies. (See Table 23.) Clearances In the UCR Program, law enforcement agencies may clear an offense either by the arrest of an individual or by ex- ceptional means, i.e., when elements beyond the control of law enforcement preclude the agency from placing formal charges against the offender. (Section III of this publication provides addi- tional information regarding clearances.) Nationwide, law enforcement cleared 18.0 percent of all reported larceny-theft offenses in 2003. The Nation's cities, collectively, cleared 18.1 percent of larceny-theft of- fenses. Cities with 10,000 to 24,999 in population cleared the highest percent- age of larceny-thefts, 22.2 percent. The Nation's largest cities, those with popu- lations of 250,000 or more inhabitants, had the lowest percentage of larcenies cleared at 14.2 percent. Law enforce- ment agencies in metropolitan counties cleared 17.4 percent of larcenies, and agencies in nonmetropolitan counties cleared 17.5 percent of larceny-theft offenses. (See Table 25.) An examination of larceny-theft clearances by region showed that law enforcement agencies in the Northeast cleared 21.9 percent of the larceny-theft offenses brought to their attention. Law enforcement agencies in the Midwest cleared 18.1 percent of larceny-theft offenses, those in the South cleared 18.0 percent, and agencies in the West cleared 16.1 percent of reported larceny-thefts. (See Table 26.) In the UCR Program, a juvenile clearance is counted when an offender under the age of 1 8 is cited to appear in juvenile court or before other juvenile authorities even though a physical ar- rest may not have occurred. Clearances involving both adult and juvenile offend- ers are considered adult clearances and are not counted in the juvenile figures. For 2003, slightly more than 20 percent (20.2) of the larceny-theft clearances in the Nation involved only juveniles. Twenty-one percent of larceny-theft clearances in the Nation's cities, col- lectively, involved only juveniles. Of all city population groups, cities with popu- lations in the 50,000 to 99,999 range had 23.6 percent of the larceny-theft clearances involve only juveniles — the highest percentage. Law enforcement personnel in cities with populations of 250,000 or more inhabitants cleared 17.0 percent of the larceny-thefts that involved only juveniles — the lowest percentage. Law enforcement agencies in the Nation's metropolitan counties re- ported that 16.8 percent of larceny-theft clearances involved only juveniles; those in nonmetropolitan counties reported that 15.0 percent of larceny-theft clear- ances involved only juveniles. (See Table 28.) Arrests Table 29 provides the estimated number of arrests for the Nation for the 29 offenses for which the UCR Program collects arrest data. The remaining tables in Section IV of this publication contain actual arrest data for those agen- cies that furnished 12 months of arrest data to the national UCR Program. Law enforcement agencies in the Nation made an estimated 1,145,074 arrests for larceny-theft in 2003, the highest arrest total of all reported prop- erty offenses. Arrests for larceny-theft comprised an estimated 71.3 percent of arrests for all property crime offenses. (Based on Table 29.) Nationally in 2003, law enforcement reported a rate of 400.4 larceny-theft arrests per 100,000 inhabitants. A review of larceny-theft arrests by region showed that in 2003 the South had the highest rate, 449.6 arrests per 100,000 inhabitants. Law enforcement agencies in the Midwest made 424.7 arrests for larceny-theft per 100,000 inhabitants; the West, 377.1; and the Northeast, 323.8. (See Table 30). The Nation's cities collectively had a rate of 489.9 larceny-theft arrests per 100,000 inhabitants. By city popu- lation groups, those cities with 50,000 to 99,999 inhabitants had the highest arrest rate for larceny-theft, 546.5 per 100,000 inhabitants; cities with 250,000 or more inhabitants had the lowest arrest rate, 452.0. The Nation's metropolitan counties had a rate of 231.3 larceny-theft arrests; nonmetropolitan counties had a rate of 150.6 larceny-theft arrests per 100,000 in population. (See Table 31.) When compared to 2002 figures, the number of larceny-theft arrests dur- ing 2003 increased 0.5 percent nation- ally. The number of arrests of juveniles for larceny-theft in 2003 decreased 3.2 percent from the 2002 figure, and the number of arrests of adults for larceny- theft increased 2.0 percent. (See Table 36.) The number of arrests of males for larceny-theft in 2003 remained virtually unchanged (+0. 1 percent) from the 2002 data; the number of arrests of females for larceny-theft increased 1 . 1 percent. (See Table 37.) OFFENSES REPORTED 53 Of those persons arrested for larceny-theft in the Nation in 2003, 28.4 percent were juveniles. Slightly more than 30 percent (30.2) of all females arrested for larceny-theft in 2003 were under the age of 18. (Based on Tables 38 and 40.) A breakdown of arrest data by gender showed that 62.9 percent of larceny-theft arrestees were male. (See Table 42.) By race, 68.5 percent of larceny-theft arrestees were white, 28.8 per- cent were black, and the remainder were of other races. Of the juveniles arrested for larceny-theft in 2003, 69.8 percent were white, 26.7 percent were black, and 3.5 percent were of other races. (See Table 43.) 54 CRIME IN THE UNITED STATES Motor Vehicle Definition The Uniform Crime Reporting (UCR) Program defines motor vehicle theft as the theft or attempted theft of a motor vehicle. This offense includes the stealing of automobiles, trucks, buses, motorcycles, motorscooters, snowmobiles, etc. The taking of a motor vehicle for temporary use by persons having lawful access is excluded from this definition. Trend Rate per 100,000 Year Number of offenses inhabitants 2002 2003 Percent change 1,246,646 1,260,471 432.9 433.4 +1.1 +0.1 National Volume, Trends, and Rates In 2003, there were an estimated 1,260,471 motor vehicle thefts in the United States. This number represented a 1.1 -percent increase in volume when compared to the 2002 estimate and a 9.4-percent increase over the 1999 estimate. The estimated number of motor vehicle thefts in 2003 was a decrease of 18.1 percent when com- pared to the 1994 estimate. (See Table 1, national estimates.) Figure 2.15 Motor Vehicle Theft Percent Change from 1999 The rate of motor vehicle thefts in the Nation in 2003 was an estimated 433.4 offenses per 100,000 inhabitants, which represented virtually no change (+0. 1 percent) over the 2002 rate. The estimated rate of motor vehicle thefts per 100,000 inhabitants increased 2.6 percent when compared to the 1999 rate but decreased 26.7 percent from the 1994 rate. (See Table 1.) Regional Offense Trends and Rates 10 8.2 9.4 6.6 0.7 t ~~~~~~~2~5 1.9 » « 2.6 • « -2.4 > Volume Rate per 100,000 inhabitants As shown in Appendix III, the UCR Program divides the Nation into four regions: the Northeast, the Midwest, the South, and the West. An examination of motor vehicle theft data by region indi- cated the following: The Northeast The Northeast Region, which comprised 18.7 percent of the Nation's population, accounted for an estimated 12.5 percent of all motor vehicle thefts. (See Table 3, regional estimates.) The 2003 esti- mate was a 3.0-percent decrease from the 2002 estimate. In 2003, the rate of stolen vehicles in the Northeast was an estimated 290.7 offenses per 100,000 inhabitants, a 3.5-percent decrease from the previous year's estimate. (See Table 4, regional, divisional, state estimates.) 1999 2000 2001 2002 2003 OFFENSES REPORTED 55 The Midwest In 2003, 22.5 percent of the U.S. popula- tion resided in the Midwest. The region accounted for an estimated 18.5 percent of all motor vehicle thefts in the Na- tion. (See Table 3, regional estimates.) The estimated number of motor vehicle thefts in the region showed a slight decline, 0.3 percent, from the previous year's estimate. The Midwest had an estimated rate of 356.9 motor vehicle thefts per 100,000 inhabitants, which was a 0.7-percent decline from the 2002 estimate. (See Table 4, regional, divi- sional, state estimates.) The South The Nation's most populous region, the South, accounted for 35.9 percent of the Nation's inhabitants and had an estimat- ed 34.5 percent of the Nation's motor vehicle thefts. (See Table 3, Table 2.28 Motor Vehicle Theft by Month Percent Distribution, 1999-2003 Month 1999 2000 2001 2002 2003 January 8.5 8.1 8.1 8.6 8.3 February 7.3 7.4 6.9 7.2 7.0 March 7.9 8.0 7.7 8.0 8.0 April 7.7 7.6 7.6 7.8 8.1 May 8.0 8.2 8.0 8.1 8.3 June 8.2 8.3 8.2 8.1 8.3 July 8.8 8.9 9.0 9.0 8.8 August 9.0 9.1 8.9 8.8 8.8 September 8.5 8.5 8.5 8.6 8.6 October 8.8 8.7 9.3 8.8 8.7 November 8.5 8.5 8.9 8.4 8.3 December 8.8 8.6 9.0 8.6 8.7 Table 2.29 Motor Vehicle Theft Percent Distribution by Region, 2003 Trucks and Other Region Total' Autos buses vehicles Total 100.0 73.3 18.5 8.2 Northeast 100.0 88.8 5.0 6.1 Midwest 100.0 76.9 15.1 8.1 South 100.0 68.0 21.2 10.8 West 100.0 72.3 21.2 6.5 1 Because of rounding, the percentages may not add to 100.0. regional estimates.) The 2003 estimate of motor vehicle thefts in the region was a 0.9-percent decrease from the 2002 es- timate. In 2003, the region had a rate of 416.1 motor vehicle thefts per 100,000 in population, which was a 2.2-percent decrease from the 2002 estimated rate. (See Table 4, regional, divisional, state estimates.) The West The Western Region, with 22.9 percent of the Nation's population, had an esti- mated 34.4 percent of the motor vehicle theft offenses. (See Table 3, regional es- timates.) The West was the only region with an increase in the estimated num- ber of motor vehicle thefts, 5.7 percent over the 2002 estimate. The region had the highest estimated rate, 652.8 motor vehicle thefts per 100,000 inhabitants, among the regions and the only increase, 4.2 percent, in the estimate from 2002 to 2003. (See Table 4, regional, divisional, state estimates.) Community Types The UCR Program defines three com- munity types: Metropolitan Statistical Areas (MSAs), cities outside metropoli- tan areas, and nonmetropolitan counties. Additional information regarding com- munity types is presented in Appendix III. In 2003, the estimated motor vehicle theft rate per 100,000 inhabitants was 491.0 in MSAs, 199.5 in cities out- side MSAs, and 128.6 in nonmetropoli- tan counties. (See Table 2, community type estimates.) Population Groups: Trends and Rates In the UCR Program, cities are grouped according to population size and coun- ties are classified as either metropoli- tan or nonmetropolitan. (Additional information about population groups is located in Appendix III.) In 2003, the Nation's cities collectively had a 0.5-percent increase in the number of motor vehicle thefts reported. Among city groups, those with populations of 100,000 to 249,999 inhabitants had the largest year-to-year increase in motor vehicle thefts, 3.7 percent, from the previous year's total. Those agencies in cities with populations of 250,000 and over, collectively, had the only decrease in motor vehicle thefts, 1 .2 percent low- er than the 2002 total. (See Table 12.) Both metropolitan and nonmet- ropolitan counties had increases in the number of motor vehicle theft offenses when comparing 2002 to 2003 data — a 4.0-percent increase in metropolitan counties and a 2.3-percent increase in nonmetropolitan counties. (See Table 12.) Cities overall had a rate of 561.6 motor vehicle thefts per 100,000 inhabit- ants in 2003. The Nation's largest cities, cities with populations of 250,000 and over, had the highest rate among city population groups at 910.9, and the Nation's smallest cities, those with fewer than 10,000 inhabitants, had the lowest rate among the city groups at 230.0 mo- tor vehicle thefts per 100,000 in popula- tion. Metropolitan counties had a rate of 323.5 motor vehicle theft offenses per 100,000 inhabitants. In nonmetropolitan counties, the rate was 139.5. (See Table 16.) Offense Analysis In 2003, automobiles were stolen at a rate of 341.9 cars per 100,000 inhabit- ants. Trucks and buses (commercial vehicles) were stolen at a rate of 86.2 vehicles per 100,000 in population. Other types of vehicles were stolen at a rate of 38.3 vehicles per 100,000 people. (See Table 19.) 56 CRIME IN THE UNITED STATES In the Nation, 73.3 percent of sto- len vehicles were automobiles. In the Northeast, 88.8 percent of the vehicles stolen were automobiles. In the Mid- west, 76.9 percent of the vehicles stolen were automobiles, in the West, 72.3 per- cent, and in the South, 68.0 percent of the motor vehicles reported stolen were automobiles. (See Table 2.29.) The average value of motor vehi- cles reported stolen in 2003 was $6,797. The estimated total value of all motor vehicles reported stolen in 2003 was $8.6 billion. (Based on Tables 1 and 23.) Clearances The UCR Program considers an offense to be cleared by arrest or solved when at least one person is arrested, charged with the commission of the offense, and turned over to the court for prosecu- tion. A clearance by exceptional means can be recorded when the offender has been identified and located and there is enough evidence to support an arrest, but conditions beyond law enforcement's control prevent an agency from bringing charges. (More information about clear- ances is available in Section III of this publication.) Law enforcement agencies cleared 13.1 percent of reported motor vehicle thefts by arrest or exceptional means in 2003. In the Nation's cities overall, law enforcement cleared 12.3 percent of motor vehicle thefts. Of all the city population groupings, the Nation's smallest cities, those with populations under 10,000 persons, had the highest percentage of clearances, 24.2 percent; the Nation's largest cities, those with 250,000 or more inhabitants, had the lowest percentage of clearances, 10.1 percent. Law enforcement in nonmetro- politan counties cleared 27.1 percent of motor vehicle thefts by arrest or excep- tional means, and those in metropolitan counties cleared 14.7 percent. (See Table 25.) By region, law enforcement agen- cies in the South had the highest clear- ance rate, 14.9 percent. Agencies in the Midwest cleared 14.6 percent of the mo- tor vehicle theft offenses reported in that region and those in the Northeast cleared 14.4 percent. The West's law enforce- ment agencies cleared 10.4 percent of the motor vehicle thefts brought to their attention. (See Table 26.) Clearances and Juveniles The UCR Program also considers an incident cleared by arrest if an offender under the age of 18 is physically arrested or if the individual is cited to appear be- fore juvenile authorities. According to UCR guidelines, any clearance that in- volves both adult and juvenile offenders is listed as an adult clearance. Clearanc- es involving only juveniles (those under age 18) accounted for 17.3 percent of all reported motor vehicle theft clearances. In cities overall, 17.8 percent of motor vehicle theft clearances involved only juveniles. Among the city population groups, those cities with populations of 250,000 and over inhabitants had the highest percentage of clearances involv- ing only juveniles at 18.9 percent. Cities with populations of 100,000 to 249,999 had the lowest percentage of clearances involving juveniles at 15.7 percent. Law enforcement officials in nonmetropolitan counties reported 17.6 percent of clear- ances involved only juveniles; metro- politan county law enforcement agencies reported 15.3 percent of motor vehicle theft clearances involved only juveniles. (See Table 28.) Arrests In 2003, there were an estimated 152,934 arrests for motor vehicle theft in the United States. (See Table 29.) Table 29 provides estimated arrest data for the Nation, however, the remaining tables in Section IV of this publication furnish actual arrest totals based on agencies that submitted 12 months of ar- rest data to the UCR Program. Two- and 5 -year trend data showed that the number of motor vehicle theft arrests in the Nation was 0.8 per- cent higher than in 2002 and 5.5 percent higher than the number of motor vehicle theft arrests in 1999. However, the 10- year trend data showed the number of motor vehicle theft arrests during 2003 was 26.5 percent lower than for 1994. (See Tables 32, 34, and 36.) In the Nation, the rate of motor ve- hicle theft arrests was 52.1 per 100,000 inhabitants. Among the four geographic regions, the West had the highest arrest rate for motor vehicle theft at 77.3 per 100,000 inhabitants, followed by the Midwest, 52.1; the South, 41.2; and the Northeast, 31.4. (See Table 30.) In cities overall, law enforcement reported a rate of 59.3 motor vehicle thefts per 100,000 persons. By city population groups, the Nation's largest cities, those with 250,000 inhabitants or greater, had the highest arrest rate for motor vehicle theft at 1 1 1 .5 per 100,000 in population. Cities with populations of 10,000 to 24,999 had the lowest arrest rate for motor vehicle theft at 32.4 per 100,000 in population. Law enforce- ment agencies in metropolitan counties reported a motor vehicle theft arrest rate of 39.5 per 100,000 inhabitants; non- metropolitan law enforcement agencies reported a rate of 29.5. (See Table 31.) OFFENSES REPORTED 57 By age, 62.3 percent of those persons arrested for motor vehicle thefts in 2003 were under the age of 25, and 29.1 per- cent were under the age of 18. Adults comprised 70.9 percent of motor vehicle theft arrestees. (See Tables 38 and 41.) In 2003, 83.4 percent of arrestees for motor vehicle theft were male. Arrests of male juveniles decreased 3.3 percent from the 2002 number. Arrests of females increased 1.9 per- cent from 2002 to 2003; however, arrests of female juveniles from 2002 to 2003 declined 5.3 percent. (See Tables 37 and 42.) By race, 61.3 percent of arrestees for motor vehicle theft were white, 35.9 percent were black, and the remainder were of other races. Whites accounted for 56.1 percent of juveniles arrested for motor vehicle theft, and blacks comprised 40.3 percent of juveniles arrested for motor vehicle theft. (See Table 43.) 58 CRIME IN THE UNITED STATES Figure 2.16 Regional Crime Rates 2003 Violent and Property Crimes per 100,000 Inhabitants Arson Definition The Uniform Crime Reporting (UCR) Program defines arson as any willful or malicious burning or attempt to burn, with or without intent to defraud, a dwelling house, public building, motor vehicle or aircraft, personal property of another, etc. Offense Methodology According to the UCR Program's data collection guidelines, only fires deter- mined through investigation to have been willfully or maliciously set are classified as arsons. Fires of suspicious or unknown origins are excluded from this classification. Due to the limited reporting of ar- son offenses by law enforcement, certain UCR data presentations are not possible. Because the UCR Program does not estimate for arson offenses, it does not include them in Tables 1-7, which all contain offense estimations. The UCR Program does, however, present the total Table 2.30 Arson Rate by Population Group, 2003 [9,790 agencies; 2003 estimated population 209,483.192; rate per 100,000 inhabitants] Population group Rate Total 30.4 Total cities 33.6 Group I (cities 250,000 and over) 52.8 (cities 1,000,000 and over) 48.8 (cities 500,000 to 999,999) 52.7 (cities 250,000 to 499,999) 58. 1 Group II (cities 100,000 to 249,999) 34.5 Group III (cities 50,000 to 99,999) 28.0 Group IV (cities 25,000 to 49,999) 23.4 Group V (cities 10,000 to 24,999) 20.4 Group VI (cities under 10,000) 22.3 Metropolitan counties 25.8 Nonmetropolitan counties 17.7 Suburban area 1 23.4 1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area (see Appendix III). Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. number of arsons reported by individual law enforcement agencies in Tables 8- 1 1 in this report. Though arson is not included in national rate calculations, the UCR Program computes arson rates separately (based on the data of those agencies for which 12 months of com- plete data were submitted) and publishes them in Table 2.30. Tables 12-15 in this report provide 2-year arson trend data. Clearance data for arson are published in Table 2.31 and Tables 25-28. Additional information regarding the specific com- position of each table is provided in the Table Methodology section of Appendix I. National Coverage In 2003, 12,776 law enforcement agen- cies provided to the UCR Program 1 to 12 months of arson data, which included 71,319 offenses. Of the 12,776 agen- cies, 12,738 submitted additional infor- mation (such as the structure type and the estimated value of property damage) for 64,043 arsons. (See Table 2.31.) Of those agencies submitting supplemental information, 9,790 agencies covering 72.0 percent of the population provided 12 months of complete data. (See Table 2.30.) Population Groups: Trends and Rates Trends The UCR Program aggregates data by various population groups, which in- clude cities, metropolitan counties, and nonmetropolitan counties. (See Appen- dix III.) A comparison of 2003 data to those from 2002 showed that the number of arson offenses was down 6.3 per- cent nationwide. The 2-year trend also showed that cities, collectively, experi- enced a 6.8-percent decline in the num- ber of arsons within their boundaries. Among the population groups labeled city, the Nation's smallest cities, those with 10,000 or fewer inhabitants, had the most significant decrease, 1 1.8 per- cent, in their arson offenses. The larg- est cities, those with 250,000 or more inhabitants, had a 9.1-percent decline in their arson offenses from 2002 to 2003. Law enforcement agencies in metro- politan counties recorded a 6.1 -percent decline in the number of arsons from the 2002 level, and nonmetropolitan county law enforcement agencies recorded a 0.6-percent decrease in their number of reported arsons. (See Table 12.) Rates Based on 12 months of complete data, 9,790 law enforcement agencies in the Nation measured arson at a rate of 30.4 offenses per 100,000 in population in 2003. Collectively, cities had a rate of 33.6 arsons per 100,000 inhabitants. Among city population groupings, the country's largest cities, those with popu- lations of 250,000 and over, experienced the greatest frequency in reported arson offenses at 52.8 offenses per 100,000 persons. Arson offenses occurred in metropolitan counties at a rate of 25.8 offenses per 100,000 inhabitants, and OFFENSES REPORTED 61 Table 2.31 Arson by Type of Property, 2003 [12,738 agencies; 2003 estimated population 226, 463,194] Property classification / so* / - / / / .IV ft Total 64,043 100.0 $11,942 10,683 16.7 40.9 Total structure: 26,994 42.1 18.5 21,276 5,929 22.0 40.2 Single occupancy residential 12,071 18.8 20.7 19,062 2,645 21.9 30.3 Other residential 4,399 6.9 13.1 23,977 940 21.4 31.5 Storage 1,865 2.9 19.9 16,794 309 16.6 49.2 Industrial/manufacturing 287 0.4 20.9 136,644 69 24.0 34.8 Other commercial 2,760 4.3 14.3 33,557 450 16.3 26.4 Community/public 3,073 4.8 14.1 11,061 1,014 33.0 73.4 Other structure 2,539 4.0 26.0 16,366 502 19.8 49.0 Total mobile: 21,310 33.3 6,381 1.475 6.9 21.2 Motor vehicles 20,292 31.7 6,234 1,318 6.5 20.6 Other mobile 1,018 1.6 9,292 157 15.4 26.1 Other 15,739 24.6 3,467 3,279 20.8 51.2 1 Because of rounding, the percentages may not add to 100.0. 2 Includes offenses cleared by arrest or exceptional means. they happened in nonmetropolitan coun- ties at a rate of 17.7 arsons per 100,000 in population. (See Table 2.30.) Offense Analysis Supplemental arson data submitted by law enforcement agencies throughout the country revealed the following infor- mation about the types of fires reported and the resulting monetary losses. Type The UCR Program collects arson data according to the type of property burned: structure (residential, commercial, in- dustrial, etc.), mobile (motor vehicles, trailers, etc.), and other (crops, timber, etc.). (See Table 2.31.) In 2003, structural arson account- ed for 42. 1 percent of reported arson. Among these types of fires, residential properties were the target in 61.0 percent of the offenses. Of residential property targets, 73.3 percent were single-oc- cupancy dwellings. Nearly 19 percent (18.5) of all structure arsons were abandoned or unused properties at the time of the fire. Mobile property arson made up 33.3 percent of the total arson reported in 2003. The majority of mo- bile property arson, 95.2 percent, was of motor vehicles. Other types of property comprised the remaining 24.6 percent of properties targeted by arsonists. (See Table 2.31.) A comparison of arson property data for 2002 and 2003 showed that the number of structural arsons declined 3.9 percent, and arson incidents involving mobile property decreased 6.8 percent. Arsons of other types of property in 2003 also decreased, down 7.3 percent from the 2002 number. (See Table 15.) Dollar Loss The average dollar loss for property damaged or destroyed by arson in 2003 was $1 1,942 per offense. Overall, struc- tural losses averaged $21,276. Arsons of industrial and manufacturing structures resulted in the highest average dollar loss during 2003, $136,644 per offense. Residential structure losses averaged $19,062 for single-occupancy dwell- ings, and losses in other residential-type dwellings averaged $23,977 per offense. Mobile property losses averaged $6,381 per arson offense, and other property types, averaged losses of $3,467. (See Table 2.31.) Clearances In the UCR Program, law enforcement clears offenses when an officer arrests an offender or when elements beyond the control of law enforcement prevent the placing of formal charges against the offender, i.e., exceptional means. (Section III provides more information regarding clearances.) In 2003, law enforcement cleared 16.7 percent of the arson offenses re- ported in the United States. With the highest clearance percentage among the Nation's regions, law enforcement in the Northeast cleared 20.7 percent of report- 62 CRIME IN THE UNITED STATES ed arson. Law enforcement agencies in the Midwest cleared 16.1 percent, and those in the South cleared 18.9 percent. The percentage of arson offenses cleared in the West was 13.5 percent. (See Table 26.) Data aggregations by population group showed that law enforcement agencies in cities, collectively, cleared 16.5 percent of arson offenses reported within their jurisdictions. Among city population groupings, agencies in the Nation's smallest cities, those with populations of 10,000 and under, cleared 27.6 percent of their reported arson of- fenses; this was the highest percentage of clearances for arson among cities, as well as for all population groups. Law enforcement agencies serving the Nation's largest cities, those with populations of 250,000 and over, cleared 10.9 percent of reported arson, the low- est clearance percentage among city population groups. Law enforcement in metropolitan counties throughout the Nation cleared 16.0 percent of reported arson offenses, and nonmetropolitan county law enforcement cleared 23.5 percent of the reported arson during 2003. (See Table 25.) Based on supplemental arson data for 2003 (from 12,738 agencies regard- ing structural property and mobile prop- erty arson), law enforcement cleared 22.0 percent of structural property arson nationwide. Additionally, agencies cleared 6.9 percent of mobile property arson. (See Table 2.3 1 .) An analysis of clearances by population group further revealed that law enforcement agencies in cities with populations under 10,000 cleared the highest percentages of reported struc- tural and mobile property arson offenses during 2003 . These agencies cleared 31.6 percent of structural property arson and 17.8 percent of mobile property ar- son. Cities with populations of 10,000 to 24,999 cleared the greatest propor- tion of arson offenses for other property types of arson, 28.4 percent. (See Table 27.) Clearances and Juveniles The UCR Program lists any clearance involving both adults (those aged 18 and over) and juveniles (persons under age 18) as an adult clearance. In addition, if an offender under the age of 1 8 is cited to appear before juvenile authorities, the UCR Program considers that incident as cleared by arrest even though a physical arrest may not have occurred. Clearances involving only juve- niles comprised 41.3 percent of total arsons cleared nationwide during 2003. Of all offenses collected by the UCR Program, arson was the offense with the greatest degree of juvenile involvement. Clearances involving only juvenile of- fenders accounted for 44.2 percent of all arsons clearances in cities collec- tively. In the Nation's largest cities, those with populations of 250,000 and greater, clearances involving juveniles only comprised 38.7 percent of all arson clearances. Clearances of offenders under the age of 1 8 accounted for ap- proximately 48.0 percent of the arson clearances in cities with populations of 24,999 inhabitants or less. In the coun- try's metropolitan and nonmetropolitan counties, clearances involving juveniles only comprised 37.1 percent and 24.6 percent, respectively, of the total number of arsons cleared. (See Table 28.) An examination of clearance data for the different types of arson showed that clearances involving juveniles only accounted for 40.2 percent of the clear- ances that involved structure arson. Of these, 73.4 percent of the clearances for community /public structure arson involved juveniles only. Clearances in- volving mobile property arsons had the least juvenile-only involvement, 21.2 percent. (See Table 2.31.) Arrests Total Arrests and Rates In 2003 law enforcement personnel ar- rested an estimated 16,163 people for committing arson offenses. (See Table 29.) Based on the 9,790 agencies that submitted 12 months of complete arrest data for arson, the national arrest rate for the offense was 5.6 arrests per 100,000 inhabitants. Among the Nation's geo- graphic regions, the West had the highest arson arrest rate, 5.8 arrests per 100,000 persons. Law enforcement agencies in the South made 5.6 arson arrests per 100,000 persons, and the Midwest and the Northeast arrested 5.5 and 5.1 persons per 100,000, respectively. (See Table 30.) By population group, law enforce- ment in the Nation's cities made 5.8 arson arrests for every 100,000 inhabit- ants. Within city population groupings, those with 10,000 or fewer inhabitants had the highest arson arrest rate, 7.0. Law enforcement agencies in metro- politan counties arrested 5.4 persons for arson per 100,000 population, and those in nonmetropolitan counties arrested 4.6 arson suspects per every 100,000 in population. (See Table 31.) Arrest Trends Nationwide, the number of arrests for arson in 2003 declined 5.8 percent from the number of arrests recorded for 2002. Arrests of adults for arson decreased 8.3 percent, and arrests of juveniles declined 3.5 percent from the previous year's number. (See Table 36.) By gender, the number of males arrested for arson was down 6. 1 percent from the 2002 figure, and the number of females arrested for arson decreased 4. 1 percent. (See Table 37.) OFFENSES REPORTED 63 Five-year arrest trends for the Nation showed that the number of arson arrests for 2003 declined 7.9 percent when compared to 1999 arrest data. Law enforcement agencies re- ported a 3.6-percent decrease in the number of adults arrested for arson and an 1 1.6-percent drop in the number of juveniles arrested for arson for the period. (See Table 34.) Overall, the number of males and the number of females arrested for arson declined 8.6 percent and 3.6 percent, respectively. (See Table 35.) A 10-year comparison of arson arrest data indicated that there were 28.5 percent fewer arson arrests in 2003 than in 1994. According to trend data for those years, the number of adults arrested for arson was down 17.7 percent, and the number of juveniles arrested for the offense decreased 36.2 percent. (See Table 32.) By sex, there were 29.3 percent fewer arrests of males for arson in 2003 than in 1994. Arrests of females for the offense also declined by 23.7 percent for the same years. (See Table 33.) Distribution by Age, Sex, and Race Data regarding the age, sex, and race of persons arrested for arson in 2003 indicated that juveniles accounted for 50.8 percent of all arrestees for arson; 31.2 percent of all arson ar- restees were of juveniles under the age of 15. (See Table 41.) Males comprised 84.4 percent of the total of arson arrestees. (See Table 42.) By race, 77.5 percent of all individuals ar- rested for arson were reported as being white, 20.9 percent of arson arrestees were black, and 1 .6 percent were persons of other races. (See Table 43.) 64 CRIME IN THE UNITED STATES Hate Crime Definition A hate crime, also known as a bias crime, is a criminal offense committed against a person, property, or society that is motivated, in whole or in part, by the offender's bias against a race, religion, disability, sexual orientation, or ethnicity/ national origin. Background In response to mounting national concern over crimes motivated by bias, Congress enacted on April 23, 1990, the Hate Crime Statistics Act of 1990. This law required the Attorney General to collect data "about crimes that manifest evidence of preju- dice based on race, religion, sexual orientation, or ethnicity." The Attorney General Figure 2.17 Bias-motivated Offenses Percent Distribution, 1 2003 p Multiple Bias 0.1% Disability 0.5% 1 Due to rounding, the percentages may not add to 100.0. delegated the responsibilities of develop- ing the procedures for implementing, collecting, and managing hate crime data to the Director of the FBI, who in turn assigned the tasks to the Uniform Crime Reporting (UCR) Program. In September 1994, Congress passed the Violent Crime Control and Law En- forcement Act, which amended the Hate Crime Statistics Act to include both physical and mental disabilities as po- tential bias factors, and collection of this data began in January 1997. Lastly, the Church Arson Prevention Act of 1996 mandated that hate crime data collection become a permanent part of the UCR Program. Those who developed the guide- lines for hate crime data collection recognized that hate crimes are not separate, distinct crimes; instead, they are traditional offenses motivated by the offender's bias. After much consider- ation, the developers decided that hate crime data could be derived by capturing the additional element of bias in those offenses already being reported to the UCR Program. Attaching the collection of hate crime statistics to the established UCR data collection procedures, they concluded, would fulfill the directives of the Hate Crime Statistics Act without placing an undue additional reporting burden on law enforcement and, in time, would develop a substantial body of data about the nature and frequency of bias crimes occurring throughout the Na- tion. As a result, the law enforcement agencies that participate in the national OFFENSES REPORTED 65 Table 2.32 Incidents, Offenses, Victims, and Known Offenders by Bias Motivation, 2003 Bias motivation Incidents Offenses Victims 1 Known offenders 2 Total 7,489 8,715 9,100 6,934 Single-Bias Incidents 7,485 8,706 9,091 6,927 Race: 3,844 4,574 4,754 3,886 Anti-White 830 969 1,006 1,019 Anti-Black 2,548 3,032 3, 150 2.456 Anti-American Indian/Alaskan Native 76 83 85 80 ^\nti- A.sian/Paci fic 1^1 231 277 289 196 Anti -Multi pie Races, Group 1 59 2 1 3 ->->4 1 35 Religion: 1,343 1,426 1,489 574 Anti-Jewish 927 987 1,025 332 Anti-Catholic 76 78 80 32 Anti-Protestant 49 50 54 20 Anti-Islamic 1 10 1 >s 1 J J 1 7 1 94 Anti-Other Religion 109 1 18 120 69 Anti -Multiple Religions, Group 24 25 26 17 Anti- Atheism/ Agnosticism/etc. 9 13 13 10 jexuul Orientation: 1 239 1 430 1 479 1 313 Anti-Male Homosexual 783 881 910 863 Anti-Female Homosexual 187 220 230 167 Anti-Homosexual 247 305 314 257 Anti-Heterosexual 14 15 15 10 Anti-Bisexual 8 9 10 16 Ethnicity /National Origin: 1,026 1,236 1,326 1,119 Anti-Hispanic 426 529 595 577 Anti-Other Ethnicity/National Origin 600 707 731 542 Disability: 33 40 43 35 Anti-Physical 24 30 32 24 Anti-Mental 9 10 11 11 Multiple-Bias Incidents 3 4 9 9 7 1 The term victim may refer to a person, business, institution, or society as a whole. 2 The term known offender does not imply that the identity of the suspect is known, but only that an attribute of the suspect is identified, which distinguishes him/her from an unknown offender. 3 A multiple-bias incident occurs only when two or more offense types are committed in a single incident. In a situation where there is more than one offense type, the agency can indicate a different bias motivation for each offense type. In the case of a single offense type, only one bias motivation can be indicated. Table 2.33 Incidents, Offenses, Victims, and Known Offenders by Offense Type, 2003 Offense type Incidents 1 Offenses Victims 2 Known offenders 2 Total 7,489 8,715 9,100 6,934 Crimes against persons: 4,511 5,517 5,517 5,543 Murder and nonnegligent manslaughter 13 14 14 19 Forcible rape 5 5 5 7 Aggravated assault 706 920 920 1,234 Simple assault 1,523 1,809 1,809 2,234 Intimidation 2,252 2,744 2,744 2,025 Other 4 12 25 25 24 Crimes against property: 3,139 3,139 3,524 1,558 Robbery 107 107 152 255 Burglary 164 164 190 92 Larceny-theft 173 173 187 105 Motor vehicle theft 15 15 15 1 1 Arson 34 34 44 24 Destruction/damage/vandalism 2,618 2,618 2,899 1,042 Other 4 28 28 37 29 Crimes against society 4 59 59 59 92 1 The actual number of incidents is 7,489. However, the column figures will not add to the total because incidents may include more than one offense type, and these are counted in each appropriate offense type category. 2 The term victim may refer to a person, business, institution, or society as a whole. 3 The term known offender does not imply that the identity of the suspect is known, but only that an attribute of the suspect is identified, which distinguishes him/her from an unknown offender. The actual number of known offenders is 6,934. However, the column figures will not add to the total because some offenders are responsible for more than one offense type, and they are, therefore, counted more than once in this table. 4 Includes additional offenses collected in NIBRS. hate crime program collect details about an offender's bias motivation associ- ated with the following offense types: murder and nonnegligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, robbery, burglary, larceny-theft, motor vehicle theft, arson, and destruction/damage/vandalism of property. (The law enforcement agen- cies participating in the UCR Program's National Incident-Based Reporting System also collect additional offenses for crimes against persons and crimes against property, which the Program publishes as "Other." In addition, these agencies collect hate crime data for an- other category called "Crimes Against Society.") An abstract based on the informa- tion received from law enforcement agencies that provided 1 to 1 2 months of hate crime reports during 2003 follows. Participation A total of 1 1 ,909 law enforcement agencies participated in the hate crime program during 2003, a 1.4 percent decrease from the 12,073 agencies that participated in 2002. Of the agencies that participated in 2003, 1,967 (16.5 percent) reported 7,489 hate crime inci- dents to the FBI. (See Table 2.35.) The number of incidents reported to the FBI in 2003 was 27 more than the number reported during 2002. Law Enforcement Reports The UCR Program data collection guidelines stipulate that a hate crime may involve multiple offenses, victims, and offenders within one incident. Ac- cordingly, the 7,489 hate crime incidents reported to the FBI in 2003 involved 8,715 separate offenses, 9,100 victims, 66 CRIME IN THE UNITED STATES and 6,934 known offenders. (See Table 2.32.) (The term known offender does not imply that the identity of the suspect is known but only that an attribute of the suspect has been identified, distin- guishing him or her from an unknown offender.) Incidents Of the 7,485 single-bias incidents reported in 2003, 51.4 percent were motivated by racial bias, 17.9 percent were driven by prejudice against a par- ticular religion, 16.6 percent involved a sexual-orientation bias, 13.7 percent resulted from a bias against an ethnicity or national origin, and 0.4 percent of the incidents were motivated by a disability bias. (Based on Table 2.32.) In addition to single-bias in- cidents, hate crime data collection guidelines permit the identification of multiple-bias incidents. These are in- cidents in which two or more types of offenses were committed as a result of two or more bias motivations. Four of the 7,489 incidents reported in 2003 met that criterion. (See Table 2.32.) Offenses According to the UCR definition, a vic- tim of an offense motivated by a bias may be a person, a business, an institu- tion, or society as a whole. When aggre- gating the number of hate crime offenses committed against individuals, the UCR Program counts one offense for each victim. The offense types of murder, forcible rape, aggravated assault, simple assault, and intimidation are crimes against persons. When counting crimes against property, the UCR Program al- lots one offense for each distinct inci- dent regardless of the number of victims. Robbery, burglary, larceny-theft, motor vehicle theft, arson, and destruction/ damage/vandalism comprise the offense types that the Program considers to be crimes against property. Table 2.34 During 2003, a total of 5,5 17 (63.3 percent) reported hate crime of- fenses were crimes against persons, and 3,139 (36.0 percent) were crimes against property. Fifty-nine crimes against society (0.7 percent) were reported in 2003. Intimidation continued to be the most frequently reported hate crime and accounted for 49.7 percent of all crimes against persons and 31.5 percent of all hate crime offenses. Destruction/ damage/vandalism of property was the Table 2.35 Race of Known Offender, 2003 1 Known offender's race Total 6,934 White 4,317 Black 1,286 American Indian/Alaskan Native 61 Asian/Pacific Islander 93 Multiple Races, Group 2 436 Unknown Race 741 1 The term known offender does not imply that the identity of the suspect is known, but only that an attribute of the suspect is identified, which distinguishes him/her from an unknown offender. 2 The term multiple races, group is used to describe a group of offenders comprised of individuals of varying races. Agency Hate Crime Reporting by State, 2003 Number of Agencies submitting Total number of Participating state participating agencies Population covered incident reports incidents reported Total 11,909 240,906,049 1,967 7,489 Alabama 36 234,120 1 1 Alaska 1 271,085 1 13 Arizona 89 5,411,197 26 246 Arkansas 128 1,166,678 40 170 California 727 35,484,453 235 1,472 Colorado 185 4,153,634 35 82 Connecticut 95 3,165,048 52 134 Delaware 53 817,491 6 17 District of Columbia 2 563,384 2 31 Florida 489 16,973,420 86 231 Georgia 82 1,617,487 7 23 Idaho 119 1,357,404 12 20 Illinois 73 5,140,241 61 208 Indiana 139 3,086,471 19 48 Iowa 221 2,870,482 27 38 Kansas 341 2,379,824 19 49 Ke n tuc ky 435 3 750 474 42 8 1 Louisiana 140 3,422,474 7 7 Maine 149 1,305,728 25 77 Maryland 149 5,508,909 31 248 Massachusetts 247 5,208,869 97 403 Michigan 610 8,784,731 162 427 Minnesota 327 5,028,715 60 215 Mississippi 57 825,576 1 1 Missouri 183 2,881,465 21 54 Montana 82 853,039 5 5 Nebraska 202 1,368,604 16 46 Nevada 35 2,241,154 9 97 New Hampshire 125 832,285 29 36 New Jersey 555 8,638,396 236 594 New Mexico 47 1,161,022 2 11 New York 520 19,162,447 61 602 North Carolina 461 8,337,322 22 77 North Dakota 65 549,642 8 18 Ohio 387 8,511,723 64 231 Oklahoma 298 3,511,532 23 38 Oregon 545,271 1 95 Pennsylvania 828 11,043,680 31 115 Rhode Island 48 1,076,164 10 45 South Carolina 419 4,144,591 33 54 South Dakota 114 503,221 6 10 Tennessee 456 5,841,748 62 161 Texas 983 22,101,481 84 294 Utah 57 1,775,428 21 59 Vermont 59 569,065 1 1 27 Virginia 393 7,312,051 66 280 Washington 253 6,071,292 56 222 West Virginia 392 1,712,606 16 33 Wisconsin 16 1,337,978 16 31 Wyoming 36 294,947 4 12 OFFENSES REPORTED 67 most frequently reported crime against property in 2003, comprising 83.4 per- cent of those offenses. Additionally, destruction/damage/vandalism account- ed for 30.0 of all hate crime offenses. (Based on Table 2.33.) Victims A total of 9,100 individuals, businesses, institutions, or society as a whole were victims of hate crimes in 2003. Ap- proximately 52.3 percent of all single- bias hate crime victims were targets of racial prejudice. Of these victims, 66.3 percent were attacked because of an anti-black bias motivation, and 21.2 percent were attacked because of an anti-white bias motivation. Of the total victims of single-bias hate crimes, 16.4 were targets because of the offender's bias toward a particular religion. Of these, 68.8 percent were targeted be- cause of an anti- Jewish bias motivation, and 11.5 percent were victims of anti- Islamic bias. Additionally, 16.3 percent of total single-bias hate crime victims were attacked because of the offender's prejudice against sexual-orientation; among these victims, 61.5 percent were victims of an anti-male homosexual bias motivation. Approximately 14.6 percent of hate crime victims in single-bias inci- dents were targets of a bias against eth- nicity or national origin. Of these, 44.9 percent were victims of anti-Hispanic sentiment. Of the victims of single-bias motivations, 43 victims were attacked because of the offenders' biases against a disability. Nine victims were attacked in 2003 as a result of their attackers' multiple biases. (Based on Table 2.32.) Offenders In 2003, there were 6,934 known offend- ers who committed crimes motivated by their perceived biases. The majority of these known hate crime offenders, 62.3 percent, were white; 18.5 percent were black; 6.3 were identified as groups of offenders with individuals of more than one race; and 2.2 percent of known of- fenders were of other races. The races of 10.7 percent of offenders were not determined. (Based on Table 2.34.) More detailed information concerning the characteristics of hate crime can be found in the UCR Program's annual publication Hate Crime Statistics. 68 CRIME IN THE UNITED STATES Offense Tabulations The tables in Section II — Offenses Re- ported — organize crime data in many ways. First, the data are categorized for the Nation as a whole, then by geo- graphic divisions; individual states; Metropolitan Statistical Areas (MSAs); and cities, towns, and counties. The data are presented as crime volume and/or crime rate (occurrence per 100,000 U.S. inhabitants). The exact number of crimes oc- curring within the United States is un- known. The UCR Program estimates the level of criminal activity based upon the number of offenses that are known to law enforcement and, using these es- timates, computes crime rates for each 100,000 population segment. The Pro- gram uses current, permanent population counts in computing crimes rates. The reader should be aware that all com- munities are affected to some degree by seasonal or transient population changes, and the Program's crime rates do not account for these short-term variations. In addition, the reader should remember that many factors influence the amount and type of crime occurring from place to place, and shifting variables may cause crime to vary from time to time within the same place. Other factors contributing to the level of crime in a given area are discussed in Crime Factors (page v). One tool that law enforcement administrators can use in analyzing the volume of local crime and the perfor- mance of the law enforcement agencies is national data. That analysis, however, should not end with a comparison based solely on data presented in this publica- tion. A true assessment of a communi- ty's crime problem or the effectiveness of law enforcement operations can be made only by including all the factors that shape local crime. Brief Description of the Tables An in-depth discussion of table con- struction methodology can be found in Appendix I. The following summarizes the contents of the tables contained in Section II-Offenses Reported. Table 1 is a 20-year table that sets forth national estimates of volume and rate per 100,000 inhabitants for the Part I offenses. Table 2 shows estimates of crime volume and rates for 2003 for the Nation as a whole and for the Na- tion disaggregated by community type: MSAs, nonmetropolitan counties, and cities and towns outside metropolitan areas. Definitions of these community types can be found in Appendix III. Data showing the regional distri- bution of estimated Part I crimes along with proportional population estimates are provided in Table 3. A map of the United States illustrating the regions and divisions employed by the UCR Pro- gram appears in Appendix III. Table 4 offers a 2-year trend in the volume and rate estimates by region, geographic division, and state. The estimated volume and rate of Part I of- fenses for each state by community type is shown in Table 5, and for individual MSAs in Table 6. Table 7 provides breakdowns for the offenses of robbery (by location), burglary (by time of day), and larceny-theft (by type) over the past 5 years. Offenses known to police for cities over 10,000 in population are presented in Table 8, and Table 9 shows the num- ber of offenses occurring on college and university campuses as reported to the UCR Program by college and university law enforcement agencies. The UCR Program does not assign population to educational institutions, but does pro- vide student enrollment information when available. Offenses reported by metropolitan and nonmetropolitan county law en- forcement agencies are presented in Table 10. Table 11 provides offenses reported by state law enforcement agen- cies, including state police, and federal agencies. Tables 12-19 supply crime trends for volumes and rates by popula- tion groupings. The UCR Program's definition of the population groups can be found in Appendix III. Data concerning weapons used in the violent crimes of murder, robbery, and aggravated assault are presented in Tables 20-22. Tables 23 and 24 provide an analysis of the value of property lost through the crimes of robbery, burglary, motor vehicle theft, and larceny-theft, and offer breakdowns by type and value of property stolen and recovered. Note Because the UCR Program does not estimate for arson, arson offenses are not included in the tables containing of- fense estimates. However, arson offenses reported by individual law enforcement agencies are displayed in Tables 8-11. Two-year arson trends are shown in Tables 12-15. OFFENSES REPORTED 69 Table 1 Crime in the United States by Volume and Rate, 1984-2003 Violent crime Property crime Murder and non- negligent Motor Population' Violent crime man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft vehicle theft Number of Offenses Population by year: 1984-235,824,902 1,273,282 18,692 84,233 485,008 685,349 10,608,473 2,984,434 6,591,874 1,032,165 1985-237,923,795 1,327,767 18,976 87,671 497,874 723,246 11,102,590 3,073,348 6,926,380 1,102,862 1986-240,132,887 1,489,169 20,613 91,459 542,775 834,322 11,722,700 3,241,410 7,257,153 1,224,137 1987-242,288,918 1,483,999 20,096 91,111 517,704 855,088 12,024,709 3,236,184 7,499,851 1,288,674 1988-244,498,982 1,566,221 20,675 92,486 542,968 910,092 12,356,865 3,218,077 7,705,872 1,432,916 1989-246,819,230 1,646,037 21,500 94,504 578,326 951,707 12,605,412 3,168,170 7,872,442 1,564,800 1990-249,464,396 1,820,127 23,438 102,555 639,271 1,054,863 12,655,486 3,073,909 7,945,670 1,635,907 1991-252,153,092 1,911,767 24,703 106,593 687,732 1,092,739 12,961,116 3,157,150 8,142,228 1,661,738 1992-255,029,699 1,932,274 23,760 109,062 672,478 1,126,974 12,505,917 2,979,884 7,915,199 1,610,834 1993-257,782,608 1,926,017 24,526 106,014 659,870 1,135,607 12,218,777 2,834,808 7,820,909 1,563,060 1994-260,327,021 1,857,670 23,326 102,216 618,949 1,113,179 12,131,873 2,712,774 7,879,812 1,539,287 1995-262,803,276 1,798,792 21,606 97,470 ^80 *>09 1,099,207 12,063,935 2,593,784 7,997,710 1,472,441 1996-265,228,572 1,688,540 19,645 96,252 535,594 1,037,049 11,805,323 2,506,400 7,904,685 1,394,238 1997-267,783,607 1,636,096 18,208 96,153 498,534 1,023,201 11,558,475 2,460,526 7,743,760 1,354,189 1998-270,248,003 1,533,887 16,974 93,144 447,186 976,583 10,951,827 2,332,735 7,376,311 1,242,781 1999-272,690,813 1,426,044 15,522 89,411 409,37 1 911,740 10,208,334 2,100,739 6,955,520 1,152,075 2000-281,421,906 1,425,486 15,586 90,178 408 0 1 6 911,706 10,182,584 2,050,992 6,971,590 1,160,002 2001-285,317,559 2 1,439,480 16,037 90,863 423,557 909,023 10,437,189 2,116,531 7,092,267 1,228,391 2002-287,973,924' 1,423,677 16,229 95,235 420,806 891,407 10,455,277 2,151,252 7,057,379 1,246,646 2003-290,809,777 1,381,259 16,503 93,433 413,402 857,921 10,435,523 2,153,464 7,021,588 1,260,471 Percent change, number of offenses: 2003/2002 -3.0 + 1.7 -1.9 -1.8 -3.8 -0.2 +0.1 -0.5 + 1.1 2003/1999 -3.1 +6.3 +4.5 + 1.0 -5.9 +2.2 +2.5 +0.9 +9.4 2003/1994 -25.6 -29.3 -8.6 -33.2 -22.9 -14.0 -20.6 -10.9 -18.1 Rate per 100,000 Inhabitants Year: 1984 539.9 7.9 35.7 205.7 290.6 4,498.5 1,265.5 2,795.2 437.7 1985 558.1 8.0 36.8 209.3 304.0 4,666.4 1,291.7 2,911.2 463.5 1986 620.1 8.6 38.1 226.0 347.4 4,881.8 1,349.8 3,022.1 509.8 1987 612.5 8.3 37.6 213.7 352.9 4,963.0 1,335.7 3,095.4 531.9 1988 640.6 8.5 37.8 222.1 372.2 5,054.0 1,316.2 3,151.7 586.1 1989 666.9 8.7 38.3 234.3 385.6 5,107.1 1,283.6 3,189.6 634.0 1990 729.6 9.4 41.1 256.3 422.9 5,073.1 1,232.2 3,185.1 655.8 1991 758.2 9.8 42.3 272.7 433.4 5,140.2 1,252.1 3,229.1 659.0 1992 757.7 9.3 42.8 263.7 441.9 4,903.7 1,168.4 3,103.6 631.6 1993 747.1 9.5 41.1 256.0 440.5 4,740.0 1,099.7 3,033.9 606.3 1994 713.6 9.0 39.3 237.8 427.6 4,660.2 1,042.1 3,026.9 591.3 1995 684.5 8.2 37.1 220.9 418.3 4,590.5 987.0 3,043.2 560.3 1996 636.6 7.4 36.3 201.9 391.0 4,451.0 945.0 2,980.3 525.7 1997 611.0 6.8 35.9 186.2 382.1 4,316.3 918.8 2,891.8 505.7 1998 567.6 6.3 34.5 165.5 361.4 4,052.5 863.2 2,729.5 459.9 1999 523.0 5.7 32.8 150.1 334.3 3,743.6 770.4 2,550.7 422.5 2000 506.5 5.5 32.0 145.0 324.0 3,618.3 728.8 2,477.3 412.2 2001 2 504.5 5.6 31.8 148.5 318.6 3,658.1 741.8 2,485.7 430.5 2002 3 494.4 5.6 33.1 146.1 309.5 3,630.6 747.0 2,450.7 432.9 2003 475.0 5.7 32.1 142.2 295.0 3,588.4 740.5 2,414.5 433.4 Percent change, rate per 100,000 inhabitants: 2003/2002 -3.9 +0.7 -2.8 -2.7 -4.7 -1.2 -0.9 -1.5 +0.1 2003/1999 -9.2 -0.3 -2.0 -5.3 -11.8 -4.1 -3.9 -5.3 +2.6 2003/1994 -33.4 -36.7 -18.2 -40.2 -31.0 -23.0 -28.9 -20.2 -26.7 1 Populations are U.S. Census Bureau provisional estimates as of July 1 for each year except 1990 and 2000 which are decennial census counts. 2 The murder and nonnegligent homicides that occurred as a result of the events of September 1 1 , 200 1 , are not included in this table. 3 The 2002 crime figures have been adjusted. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. 70 CRIME IN THE UNITED STATES Table 2 Crime in the United States by Community Type, 2003 Violent crime Property crime Area Population 1 Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft United States Total Rate per 100,000 inhabitants 290,809,777 1,381,259 475.0 16,503 5.7 93,433 32.1 413,402 142.2 857,921 295.0 10,435,523 3,588.4 2,153,464 740.5 7,021,588 2,414.5 1,260,471 433.4 Metropolitan Statistical Area Area actually reporting 2 Estimated total Rate per 100,000 inhabitants 240,773,811 94.9% 100.0% 1,205,651 1,244,205 516.8 14,392 14,706 6.1 74,165 78,862 32.8 388,990 396,779 164.8 728,104 753,858 313.1 8,764,006 9,108,399 3,783.0 1,758,136 1,824,281 757.7 5,851,689 6,102,000 2,534.3 1,154,181 1,182,118 491.0 Cities outside metropolitan areas Area actually reporting 2 Estimated total Rate per 100,000 inhabitants 19,753,338 84.8% 100.0% 66,773 76,043 385.0 645 748 3.8 6,457 7,540 38.2 10,209 11,848 60.0 49,462 55,907 283.0 705,302 819,267 4,147.5 139,166 161,144 815.8 531,471 618,709 3,132.2 34,665 39,414 199.5 Nonmetropolitan Counties Area actually reporting 2 Estimated total Rate per 100,000 inhabitants 30,282,628 82.8% 100.0% 54,544 61,011 201.5 843 1,049 3.5 5,826 7,031 23.2 4,229 4,775 15.8 43,646 48,156 159.0 446,470 507,857 1,677.1 146,827 168,039 554.9 265,269 300,879 993.6 34,374 38,939 128.6 1 Populations are U.S. Census Bureau provisional estimates as of July 1, 2003. 2 The percentage reported under "Area actually reporting" is based upon the population covered by agencies providing 3 months or more of crime reports to the FBI. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Table 3 Crime in the United States Offense and Population Distribution by Region, 2003 Region Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft United States Total 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 Northeast 18.7 15.8 14.0 13.4 19.6 14.3 12.6 11.3 13.0 12.5 Midwest 22.5 18.8 19.5 25.0 18.8 18.2 21.1 20.1 21.9 18.5 South 35.9 41.6 43.6 37.6 38.9 43.3 41.2 45.1 41.3 34.5 West 22.9 23.8 22.9 24.0 22.8 24.3 25.1 23.6 23.9 34.4 1 Because of rounding, the percentages may not add to 100.0. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. OFFENSES REPORTED 71 Table 4 Crime in the United States by Region, Geographic Division, and State, 2002-2003 Violent crime Murder and non- Violent crime negligent manslaughter Forcible rape Robbery Aggravated assault rea Year Pop ulation Number Rate per inn nnn 1 VUjUUU Number Rate per inn nnn 1 VUjUUU Number Rate pet- inn nnn 1 VUjUUU Nitniber Rate per ton nnn Nitniber Rate per tnn nnn United States Total 2 - 3 < J 2002 287,973,924 1,423,677 494.4 16,229 5.6 95,235 33.1 420,806 146.1 891,407 309.5 2003 290,809,777 1,381,259 475.0 16,503 5.7 93,433 32.1 413,402 142.2 857,921 295.0 Percent change -3.0 -3.9 +1.7 +0.7 -1.9 -2.8 -1.8 -2.7 -3.8 -4.7 Northeast 2 2002 54,172,792 225,965 417.1 2,209 4.1 12,842 23.7 80,685 148.9 130,229 240.4 2003 54,399,446 218,106 400.9 2,311 4.2 12,511 23.0 80,892 148.7 122,392 225.0 Percent change -3.5 -3.9 +4.6 +4.2 -2.6 -3.0 +0.3 -0.2 -6.0 -6.4 New England 2 2002 14,134,420 49,105 347.4 337 2.4 3,861 27.3 12,914 91.4 31,993 226.3 2003 14,205,480 48,026 338.1 319 2.2 3,857 27.2 13,788 97.1 30,062 211.6 Percent change -2.2 -2.7 -5.3 -5.8 -0.1 -0.6 +6.8 +6.2 -6.0 -6.5 Connecticut 2 2002 3,458,587 10,807 312.5 84 2.4 740 21.4 4,069 117.6 5,914 171.0 2003 3,483,372 10,736 308.2 104 3.0 652 18.7 4,146 119.0 5,834 167.5 Percent change -0.7 -1.4 +23.8 +22.9 -11.9 -12.5 +1.9 + 1.2 -1.4 -2.1 Maine 2002 1,294,894 1,396 107.8 14 1.1 377 29.1 270 20.9 735 56.8 2003 1,305,728 1,422 108.9 16 1.2 354 27.1 289 22.1 763 58.4 Percent change + 1.9 + 1.0 +14.3 + 13.3 -6.1 -6.9 +7.0 +6.1 +3.8 +2.9 Massachusetts 2002 6,421,800 31,137 484.9 173 2.7 1,777 27.7 7,169 111.6 22,018 342.9 2003 6,433,422 30,196 469.4 142 2.2 1,798 27.9 7,985 124.1 20,271 315.1 Percent change -3.0 -3.2 -17.9 -18.1 + 1.2 +1.0 + 11.4 + 11.2 -7.9 -8.1 New Hampshire 2002 1,274,405 2,056 161.3 12 0.9 446 35.0 413 32.4 1,185 93.0 2003 1,287,687 1,916 148.8 18 1.4 427 33.2 478 37.1 993 77.1 Percent change -6.8 -7.8 +50.0 +48.5 -4.3 -5.2 + 15.7 +14.5 -16.2 -17.1 Rhode Island 2002 1,068,326 3,051 285.6 41 3.8 395 37.0 916 85.7 1,699 159.0 2003 1,076,164 3,074 285.6 25 2.3 505 46.9 830 77.1 1,714 159.3 Percent change +0.8 -39.0 -39.5 +27.8 +26.9 -9.4 -10.0 +0.9 +0.1 Vermont 2002 616,408 658 106.7 13 2.1 126 20.4 77 12.5 442 71.7 2003 619,107 682 110.2 14 2.3 121 19.5 60 9.7 487 78.7 Percent change +3.6 +3.2 +7.7 +7.2 -4.0 -4.4 -22.1 -22.4 +10.2 +9.7 Middle Atlantic 2 2002 40,038,372 176,860 441.7 1,872 4.7 8,981 22.4 67,771 169.3 98,236 245.4 2003 40,193,966 170,080 423.1 1,992 5.0 8,654 21.5 67,104 167.0 92,330 229.7 Percent change -3.8 -4.2 +6.4 +6.0 -3.6 -4.0 -1.0 -1.4 -6.0 -6.4 New Jersey 2 2002 8,575,252 32,252 376.1 339 4.0 1,365 15.9 13,955 162.7 16,593 193.5 2003 8,638,396 31,599 365.8 407 4.7 1,325 15.3 13,366 154.7 16,501 191.0 Percent change -2.0 -2.7 +20.1 +19.2 -2.9 -3.6 -4.2 -4.9 -0.6 -1.3 New York 2002 19,134,293 95,030 496.6 909 4.8 3,885 20.3 36,653 191.6 53,583 280.0 2003 19,190,115 89,265 465.2 934 4.9 3,773 19.7 35,758 186.3 48,800 254.3 Percent change -6.1 -6.3 +2.8 +2.5 -2.9 -3.2 -2.4 -2.7 -8.9 -9.2 Pennsylvania 2002 12,328,827 49,578 402.1 624 5.1 3,731 30.3 17,163 139.2 28,060 227.6 2003 12,365,455 49,216 398.0 651 5.3 3,556 28.8 17,980 145.4 27,029 218.6 Percent change -0.7 -1.0 +4.3 +4.0 -4.7 -5.0 +4.8 +4.4 -3.7 -4.0 Midwest 2 3 2002 65,098,828 274,308 421.4 3,310 5.1 24,181 37.1 82,186 126.2 164,631 252.9 2003 65,406,134 259,925 397.4 3,221 4.9 23,404 35.8 77,537 118.5 155,763 238.1 Percent change -5.2 -5.7 -2.7 -3.1 -3.2 -3.7 -5.7 -6.1 -5.4 -5.8 East North Central 2 3 2002 45,634,972 204,432 448.0 2,681 5.9 17,623 38.6 66,357 145.4 117,771 258.1 2003 45,837,269 194,034 423.3 2,557 5.6 17,123 37.4 62,744 136.9 111,610 243.5 Percent change -5.1 -5.5 -4.6 -5.0 -2.8 -3.3 -5.4 -5.9 -5.2 -5.6 Illinois 2 - 3 2002 12,586,447 75,759 601.9 961 7.6 4,370 34.7 25,314 201.1 45,114 358.4 2003 12,653,544 70,456 556.8 896 7.1 4,167 32.9 23,809 188.2 41,584 328.6 Percent change -7.0 -7.5 -6.8 -7.3 -4.6 -5.2 -5.9 -6.4 -7.8 -8.3 See footnotes at end of table. 72 CRIME IN THE UNITED STATES Property crime Property crime Burglary Larceny-theft Motor vehicle theft Number Rate per 100,000 Number Rate per 100,000 Number Rate per 100,000 Number Rate per 100,000 10,455,277 10,435,523 -0.2 3,630.6 3,588.4 -1.2 2,151,252 2,153,464 +0.1 747.0 740.5 -0.9 7,057,379 7,021,588 -0.5 2,450.7 2,414.5 -1.5 1,246,646 1,260,471 +1.1 432.9 433.4 +0.1 1,341,372 1,311,085 -2.3 2,476.1 2,410.1 -2.7 248,270 242,809 -2.2 458.3 446.3 -2.6 929,978 910,111 -2.1 1,716.7 1,673.0 -2.5 163,124 158,165 -3.0 301.1 290.7 -3.5 370,698 359,197 -3.1 2,622.7 2,528.6 -3.6 72,061 69,944 -2.9 509.8 492.4 -3.4 251,451 244,315 -2.8 1,779.0 1,719.9 -3.3 47,186 44,938 -4.8 333.8 316.3 -5.2 93,426 90,801 -2.8 2,701.3 2,606.7 -3.5 17,111 15,609 -8.8 494.7 448.1 -9.4 64,735 64,166 -0.9 1,871.7 1,842.1 -1.6 11,580 11,026 -4.8 334.8 316.5 -5.5 32,985 32,078 -2.7 2,547.3 2,456.7 -3.6 6,965 6,579 -5.5 537.9 503.9 -6.3 24,591 24,043 -2.2 1,899.1 1,841.3 -3.0 1,429 1,456 +1.9 110.4 111.5 +1.0 167,753 164,018 -2.2 2,612.2 2,549.5 -2.4 33,243 34,722 +4.4 517.7 539.7 +4.3 107,922 103,790 -3.8 1,680.6 1,613.3 -4.0 26,588 25,506 -4.1 414.0 396.5 -4.2 26,250 26,448 +0.8 2,059.8 2,053.9 -0.3 4,838 4,552 -5.9 379.6 353.5 -6.9 19,468 19,979 +2.6 1,527.6 1,551.5 +1.6 1,944 1,917 -1.4 152.5 148.9 -2.4 35,342 32,231 3,308.2 2,995.0 -9.5 6,415 5,524 -13.9 600.5 513.3 -14.5 24,051 22,320 -7.2 2,251.3 2,074.0 -7.9 4,876 4,387 -10.0 456.4 407.7 -10.7 14,942 13,621 2,424.0 2,200.1 -9.2 3,489 2,958 -15.2 566.0 477.8 -15.6 10,684 10,017 -6.2 1,733.3 1,618.0 -6.7 769 646 -16.0 124.8 104.3 -16.4 970,674 951,888 -1.9 2,424.4 2,368.2 -2.3 176,209 172,865 -1.9 440.1 430.1 -2.3 678,527 665,796 -1.9 1,694.7 1,656.5 -2.3 115,938 113,227 -2.3 289.6 281.7 -2.7 227,715 219,799 -3.5 2,655.5 2,544.4 -4.2 43,899 43,453 -1.0 511.9 503.0 -1.7 148,061 141,778 -4.2 1,726.6 1,641.3 -4.9 35,755 34,568 -3.3 417.0 400.2 -4.0 442,091 431,448 -2.4 2,310.5 2,248.3 -2.7 76,700 75,493 -1.6 400.9 393.4 -1.9 318,025 310,738 -2.3 1,662.1 1,619.3 -2.6 47,366 45,217 -4.5 247.5 235.6 -4.8 300,868 300,641 -0.1 2,440.4 2,431.3 -0.4 55,610 53,919 -3.0 451.1 436.0 -3.3 212,441 213,280 +0.4 1,723.1 1,724.8 +0.1 32,817 33,442 + 1.9 266.2 270.4 + 1.6 2,255,352 2,203,834 -2.3 3,464.5 3,369.5 -2.7 446,788 432,545 -3.2 686.3 661.3 -3.6 1,574,516 1,537,833 -2.3 2,418.7 2,351.2 -2.8 234,048 233,456 -0.3 359.5 356.9 -0.7 1,568,229 1,528,047 -2.6 3,436.5 3,333.6 -3.0 322,105 309,622 -3.9 705.8 675.5 -4.3 1,075,077 1,048,841 -2.4 2,355.8 2,288.2 -2.9 171,047 169,584 -0.9 374.8 370.0 -1.3 430,479 415,593 -3.5 3,420.2 3,284.4 -4.0 81,440 78,288 -3.9 647.0 618.7 -4.4 304,227 295,541 -2.9 2,417.1 2,335.6 -3.4 44,812 41,764 -6.8 356.0 330.1 -7.3 OFFENSES REPORTED 73 Table 4 Crime in the United States by Region, Geographic Division, and State, 2002-2003 — Continued Violent crime Murder and non- Violent crime negligent manslaughter Forcible rape Robbery Aggravated assault Rate per Rate per Rate per Rate per Rate per Area Year Pop ulation Number inn nnn 1 VUjUUU Number inn nnn 1 VUjUUU Nitniber ton nnn Nitniber ton nnn Nitniber tnn nnn Indiana 2002 6,156,913 22,001 357.3 362 5.9 1,843 29.9 6,612 107.4 13,184 214.1 2003 6,195,643 21,856 352.8 341 5.5 1,720 27. ,8 6,403 103.3 13,392 216.2 Percent change -0.7 -1.3 -5.8 -6.4 -6.7 -7.3 -3.2 -3.8 + 1.6 +0.9 Michigan 2002 10,043,221 54,306 540.7 678 6.8 5,364 53.4 11,847 118.0 36,417 362.6 2003 10,079,985 51,524 511.2 617 6.1 5,451 54.1 11,257 111.7 34,199 339.3 Percent change -5.1 -5.5 -9.0 -9.3 + 1.6 + 1.3 -5.0 -5.3 -6.1 -6.4 Ohio 2002 11,408,699 40,128 351.7 526 4.6 4,809 42.2 17,871 156.6 16,922 148.3 2003 11,435,798 38,103 333.2 522 4.6 4,587 40.1 16,889 147.7 16,105 140.8 Percent change -5.0 -5.3 -0.8 -1.0 -4.6 -4.8 -5.5 -5.7 -4.8 -5.1 Wisconsin 2002 5,439,692 12,238 225.0 154 2.8 1,237 22.7 4,713 86.6 6,134 112.8 2003 5,472,299 12,095 221.0 181 3.3 1,198 21.9 4,386 80.1 6,330 115.7 Percent change -1.2 -1.8 +17.5 +16.8 -3.2 -3.7 -6.9 -7.5 +3.2 +2.6 West North Central 2002 19,463,856 69,876 359.0 629 3.2 6,558 33.7 15,829 81.3 46,860 240.8 2003 19,568,865 65,891 336.7 664 3.4 6,281 32.1 14,793 75.6 44,153 225.6 Percent change -5.7 -6.2 +5.6 +5.0 -4.2 -4.7 -6.5 -7.0 -5.8 -6.3 Iowa 2002 2,935,840 8,388 285.7 44 1.5 797 27.1 1,169 39.8 6,378 217.2 2003 2,944,062 8,020 272.4 47 1.6 762 25.9 1,123 38.1 6,088 206.8 Percent change -4.4 -4.7 +6.8 +6.5 -4.4 -4.7 -3.9 -4.2 -4.5 -4.8 Kansas 2002 2,711,769 10,229 377.2 78 2.9 1,035 38.2 2,165 79.8 6,951 256.3 2003 2,723,507 10,771 395.5 123 4.5 1,042 38.3 2,246 82.5 7,360 270.2 Percent change +5.3 +4.8 +57.7 +57.0 +0.7 +0.2 +3.7 +3.3 +5.9 +5.4 Minnesota 2002 5,024,791 13,428 267.2 112 2.2 2,273 45.2 3,937 78.4 7,106 141.4 2003 5,059,375 13,288 262.6 128 2.5 2,083 41.2 3,904 77.2 7,173 141.8 Percent change -1.0 -1.7 +14.3 + 13.5 -8.4 -9.0 -0.8 -1.5 +0.9 +0.3 Missouri 2002 5,669,544 30,557 539.0 331 5.8 1,465 25.8 7,024 123.9 21,737 383.4 2003 5,704,484 26,968 472.8 288 5.0 1,394 24.4 6,203 108.7 19,083 334.5 Percent change -11.7 -12.3 -13.0 -13.5 -4.8 -5.4 -11.7 -12.2 -12.2 -12.7 Nebraska 2002 1,727,564 5,428 314.2 48 2.8 464 26.9 1,359 78.7 3,557 205.9 2003 1,739,291 5,026 289.0 56 3.2 495 28.5 1,162 66.8 3,313 190.5 Percent change -7.4 -8.0 +16.7 +15.9 +6.7 +6.0 -14.5 -15.1 -6.9 -7.5 North Dakota 2002 633,911 496 78.2 5 0.8 163 25.7 58 9.1 270 42.6 2003 633,837 493 77.8 12 1.9 151 23.8 51 8.0 279 44.0 Percent change -0.6 -0.6 + 140.0 +140.0 -7.4 -7.4 -12.1 -12.1 +3.3 +3.3 South Dakota 2002 760,437 1,350 177.5 11 1.4 361 47.5 117 15.4 861 113.2 2003 764,309 1,325 173.4 10 1.3 354 46.3 104 13.6 857 112.1 Percent change -1.9 -2.3 -9.1 -9.6 -1.9 -2.4 -11.1 -11.6 -0.5 -1.0 South 2 - 34 2002 103,197,968 589,769 571.5 6,989 6.8 35,705 34.6 162,070 157.0 385,005 373.1 2003 104,538,348 574,226 549.3 7,197 6.9 35,133 33.6 160,675 153.7 371,221 355.1 Percent change -2.6 -3.9 +3.0 +1.7 -1.6 -2.9 -0.9 -2.1 -3.6 -4.8 South Atlantic 4 2002 53,563,636 322,521 602.1 3,611 6.7 17,173 32.1 90,015 168.1 211,722 395.3 2003 54,344,651 313,109 576.2 3,663 6.7 16,996 31.3 89,511 164.7 202,939 373.4 Percent change -2.9 -4.3 + 1.4 -1.0 -2.5 -0.6 -2.0 -4.1 -5.5 Delaware 2002 805,945 4,836 600.0 26 3.2 358 44.4 1,154 143.2 3,298 409.2 2003 817,491 5,379 658.0 24 2.9 353 43.2 1,389 169.9 3,613 442.0 Percent change +11.2 +9.7 -7.7 -9.0 -1.4 -2.8 +20.4 + 18.7 +9.6 +8.0 District of Columbia 4 2002 569,157 9,322 1,637.9 264 46.4 262 46.0 3,834 673.6 4,962 871.8 2003 563,384 9,060 1,608.1 249 44.2 274 48.6 3,941 699.5 4,596 815.8 Percent change -2.8 -1.8 -5.7 -4.7 +4.6 +5.7 +2.8 +3.8 -7.4 -6.4 See footnotes at end of table. 74 CRIME IN THE UNITED STATES Property crime Rate per Number 100,000 208,965 3,394.0 208,034 3,357.7 -0.4 -1.1 335,060 3,336.2 330,356 3,277.3 -1.4 -1.8 428,976 3,760.1 416,317 3,640.5 -3.0 -3.2 164,749 3,028.6 157,747 2,882.6 -4.3 -4.8 687,123 3,530.3 675,787 3,453.4 -1.6 -2.2 92,877 3,163.6 87,178 2,961.1 -6.1 -6.4 100,768 3,716.0 108,777 3,994.0 +7.9 +7.5 164,026 3,264.3 157,691 3,116.8 -3.9 -4.5 230,520 4,065.9 229,004 4,014.5 -0.7 -1.3 68,178 3,946.5 64,552 3,711.4 -5.3 -6.0 14,762 2,328.7 13,286 2,096.1 -10.0 -10.0 15,992 2,103.0 15,299 2,001.7 -4.3 -4.8 4,291,126 4,158.1 4,302,332 4,115.6 +0.3 -1.0 2,190,742 4,090.0 2,184,736 4,020.1 -0.3 -1.7 26,967 3,346.0 27,667 3,384.4 +2.6 +1.1 36,477 6,409.0 32,678 5,800.3 -10.4 -9.5 Burglary Rate per Number 100,000 42,605 692.0 41,581 671.1 -2.4 -3.0 70,970 706.6 68,260 677.2 -3.8 -4.2 99,164 869.2 94,931 830.1 -4.3 -4.5 27,926 513.4 26,562 485.4 -4.9 -5.5 124,683 640.6 122,923 628.2 -1.4 -1.9 18,643 635.0 17,546 596.0 -5.9 -6.1 19,679 725.7 21,887 803.6 +11.2 +10.7 28,034 557.9 27,696 547.4 -1.2 -1.9 42,721 753.5 40,908 717.1 -4.2 -4.8 10,329 597.9 10,072 579.1 -2.5 -3.1 2,243 353.8 1,941 306.2 -13.5 -13.5 3,034 399.0 2,873 375.9 -5.3 -5.8 962,840 933.0 970,607 928.5 +0.8 -0.5 486,178 907.7 482,249 887.4 -0.8 -2.2 5,355 664.4 5,966 729.8 +11.4 +9.8 5,170 908.4 4,671 829.1 -9.7 -8.7 Property crime Larceny-theft Rate per Number 100,000 146,073 2,372.5 145,685 2,351.4 -0.3 -0.9 214,367 2,134.4 208,360 2,067.1 -2.8 -3.2 287,045 2,516.0 280,390 2,451.9 -2.3 -2.5 123,365 2,267.9 118,865 2,172.1 -3.6 -4.2 499,439 2,566.0 488,992 2,498.8 -2.1 -2.6 68,411 2,330.2 64,031 2,174.9 -6.4 -6.7 73,877 2,724.3 79,113 2,904.8 +7.1 +6.6 122,150 2,430.9 1 16,236 2,297.4 -4.8 -5.5 159,921 2,820.7 159,437 2,794.9 -0.3 -0.9 51,440 2,977.6 48,356 2,780.2 -6.0 -6.6 11,501 1,814.3 10,267 1,619.8 -10.7 -10.7 12,139 1,596.3 11,552 1,511.4 -4.8 -5.3 2,889,223 2,799.7 2,896,775 2,771.0 +0.3 -1.0 1,467,227 2,739.2 1,464,273 2,694.4 -0.2 -1.6 18,555 2,302.3 18,821 2,302.3 + 1.4 * 21,708 3,814.1 18,104 3,213.4 -16.6 -15.7 Motor vehicle theft Rate per Number 100,000 20,287 329.5 20,768 335.2 +2.4 +1.7 49,723 495.1 53,736 533.1 +8.1 +7.7 42,767 374.9 40,996 358.5 -4.1 -4.4 13,458 247.4 12,320 225.1 -8.5 -9.0 63,001 323.7 63,872 326.4 + 1.4 +0.8 5,823 198.3 5,601 190.2 -3.8 -4.1 7,212 266.0 7,777 285.6 +7.8 +7.4 13,842 275.5 13,759 272.0 -0.6 -1.3 27,878 491.7 28,659 502.4 +2.8 +2.2 6,409 371.0 6,124 352.1 -4.4 -5.1 1,018 160.6 1,078 170.1 +5.9 +5.9 819 107.7 874 1 14.4 +6.7 +6.2 439,063 425.5 434,950 416.1 -0.9 -2.2 237,337 443.1 238,214 438.3 +0.4 -1.1 3,057 379.3 2,880 352.3 -5.8 -7.1 9,599 1,686.5 9,903 1,757.8 +3.2 +4.2 OFFENSES REPORTED 75 Table 4 Crime in the United States by Region, Geographic Division, and State, 2002-2003 — Continued Violent crime Murder and non- Violent crime negligent manslaughter Forcible rape Robbery Aggravated assault Rate pet- Rale per Rate per Rate per Rate per Aiea Year Pop ulation Number inn nnn 1 VUjUUU Number inn nnn 1 VUjUUU Nitniber inn nnn 1 VUjUUU Nitniber inn nnn 1 uu,uuu Number inn nnn 1 uu, uuu Florida 2002 16,691,701 128,721 771.2 911 5.5 6,753 40.5 32,581 195.2 88,476 530.1 2003 17,019,068 124,280 730.2 924 5.4 6,727 39.5 31,523 185.2 85,106 500.1 Percent change -3.5 -5.3 + 1.4 -0.5 -0.4 -2.3 -3.2 -5.1 -3.8 -5.7 Georgia 2002 8,544,005 39,271 459.6 606 7.1 2,108 24.7 13,432 157.2 23,125 270.7 2003 8,684,715 39,422 453.9 656 7.6 2,233 25.7 14,055 161.8 22,478 258.8 Percent change +0.4 -1.2 +8.3 +6.5 +5.9 +4.2 +4.6 +2.9 -2.8 -4.4 Maryland 2002 5,450,525 42,015 770.8 513 9.4 1,370 25.1 13,417 246.2 26,715 490.1 2003 5,508,909 38,778 703.9 525 9.5 1,358 24.7 13,302 241.5 23,593 428.3 Percent change -7.7 -8.7 +2.3 + 1.3 -0.9 -1.9 -0.9 -1.9 -11.7 -12.6 North Carolina 2002 8,305,820 39,118 471.0 548 6.6 2,196 26.4 12,205 146.9 24,169 291.0 2003 8,407,248 38,246 454.9 509 6.1 2,139 25.4 12,229 145.5 23,369 278.0 Percent change -2.2 -3.4 -7.1 -8.2 -2.6 -3.8 +0.2 -1.0 -3.3 -4.5 South Carolina 2002 4,103,770 33,761 822.7 298 7.3 1,959 47.7 5,774 140.7 25,730 627.0 2003 4,147,152 32,908 793.5 300 7.2 1,843 44.4 5,670 136.7 25,095 605.1 Percent change -2.5 -3.5 +0.7 -0.4 -5.9 -6.9 -1.8 -2.8 -2.5 -3.5 Virginia 2002 7,287,829 21,256 291.7 388 5.3 1,839 25.2 6,961 95.5 12,068 165.6 2003 7,386,330 20,375 275.8 413 5.6 1,773 24.0 6,672 90.3 11,517 155.9 Percent change -4.1 -5.4 +6.4 +5.0 -3.6 -4.9 -4.2 -5.4 -4.6 -5.8 West Virginia 2002 1,804,884 4,221 233.9 57 3.2 328 18.2 657 36.4 3,179 176.1 2003 1,810,354 4,661 257.5 63 3.5 296 16.4 730 40.3 3,572 197.3 Percent change +10.4 + 10.1 +10.5 +10.2 -9.8 -10.0 + 11.1 +10.8 + 12.4 +12.0 East South Central 2 3 2002 17,225,247 82,452 478.7 1,178 6.8 6,168 35.8 21,862 126.9 53,244 309.1 2003 17,341,608 79,665 459.4 1,150 6.6 5,872 33.9 21,625 124.7 51,018 294.2 Percent change -3.4 -4.0 -2.4 -3.0 -4.8 -5.4 -1.1 -1.7 -4.2 -4.8 Alabama 2002 4,478,896 19,931 445.0 303 6.8 1,664 37.2 5,962 133.1 12,002 268.0 2003 4,500,752 19,331 429.5 299 6.6 1,656 36.8 6,038 134.2 11,338 251.9 Percent change -3.0 -3.5 -1.3 -1.8 -0.5 -1.0 + 1.3 +0.8 -5.5 -6.0 Kentucky 2 3 2002 4,089,822 11,101 271.4 191 4.7 1,087 26.6 3,131 76.6 6,692 163.6 2003 4,117,827 10,777 261.7 188 4.6 1,054 25.6 3,196 77.6 6,339 153.9 Percent change -2.9 -3.6 -1.6 -2.2 -3.0 -3.7 +2.1 + 1.4 -5.3 -5.9 Mississippi 2002 2,866,733 9,858 343.9 264 9.2 1,127 39.3 3,356 117.1 5,111 178.3 2003 2,881,281 9,380 325.5 268 9.3 1,077 37.4 3,019 104.8 5,016 174.1 Percent change -4.8 -5.3 + 1.5 +1.0 -4.4 -4.9 -10.0 -10.5 -1.9 -2.4 Tennessee 2002 5,789,796 41,562 717.8 420 7.3 2,290 39.6 9,413 162.6 29,439 508.5 2003 5,841,748 40,177 687.8 395 6.8 2,085 35.7 9,372 160.4 28,325 484.9 Percent change -3.3 -4.2 -6.0 -6.8 -9.0 -9.8 -0.4 -1.3 -3.8 -4.6 West South Central 2002 32,409,085 184,796 570.2 2,200 6.8 12,364 38.1 50,193 154.9 120,039 370.4 2003 32,852,089 181,452 552.3 2,384 7.3 12,265 37.3 49,539 150.8 117,264 356.9 Percent change -1.8 -3.1 +8.4 +6.9 -0.8 -2.1 -1.3 -2.6 -2.3 -3.6 Arkansas 2002 2,706,268 11,501 425.0 142 5.2 754 27.9 2,524 93.3 8,081 298.6 2003 2,725,714 12,431 456.1 174 6.4 903 33.1 2,228 81.7 9,126 334.8 Percent change +8.1 +7.3 +22.5 +21.7 + 19.8 + 18.9 -11.7 -12.4 + 12.9 + 12.1 Louisiana 2002 4,476,192 29,690 663.3 593 13.2 1,529 34.2 7,123 159.1 20,445 456.7 2003 4,496,334 29,062 646.3 586 13.0 1,849 41.1 7,069 157.2 19,558 435.0 Percent change -2.1 -2.6 -1.2 -1.6 +20.9 +20.4 -0.8 -1.2 -4.3 -4.8 Oklahoma 2002 3,489,700 17,587 504.0 163 4.7 1,573 45.1 2,966 85.0 12,885 369.2 2003 3,511,532 17,758 505.7 206 5.9 1,501 42.7 3,224 91.8 12,827 365.3 Percent change + 1.0 +0.3 +26.4 +25.6 -4.6 -5.2 +8.7 +8.0 -0.5 -1.1 See footnotes at end of table. 76 CRIME IN THE UNITED STATES Property crime Property crime Number Rate per 100,000 Burglary Number Rate per 100,000 Larceny-theft Number Rate per 100,000 Motor vehicle theft Number Rate per 100,000 777,236 757,696 -2.5 4,656.4 4,452.0 -4.4 177,242 170,644 -3.7 1,061.9 1,002.7 -5.6 511,478 505,489 -1.2 3,064.3 2,970.1 -3.1 88,516 81,563 -7.9 530.3 479.2 -9.6 346,559 369,501 +6.6 4,056.2 4,254.6 +4.9 73,932 78,961 +6.8 865.3 909.2 +5.1 234,591 247,169 +5.4 2,745.7 2,846.0 +3.7 38,036 43,371 +14.0 445.2 499.4 + 12.2 217,105 209,418 -3.5 3,983.2 3,801.4 -4.6 39,765 38,641 -2.8 729.6 701.4 -3.9 143,320 134,372 -6.2 2,629.5 2,439.2 -7.2 34,020 36,405 +7.0 624.2 660.8 +5.9 353,708 359,660 + 1.7 4,258.6 4,278.0 +0.5 99,535 100,687 + 1.2 1,198.4 1,197.6 -0.1 229,307 232,081 +1.2 2,760.8 2,760.5 24,866 26,892 +8.1 299.4 319.9 +6.8 183,808 185,671 + 1.0 4,479.0 4,477.1 43,745 43,582 -0.4 1,066.0 1,050.9 -1.4 123,196 126,327 +2.5 3,002.0 3,046.1 + 1.5 16,867 15,762 -6.6 411.0 380.1 -7.5 207,783 199,731 -3.9 2,851.1 2,704.1 -5.2 31,757 28,919 -8.9 435.8 391.5 -10.2 157,548 152,898 -3.0 2,161.8 2,070.0 -4.2 18,478 17,914 -3.1 253.5 242.5 -4.3 41,099 42,714 +3.9 2,277.1 2,359.4 +3.6 9,677 10,178 +5.2 536.2 562.2 +4.9 27,524 29,012 +5.4 1,525.0 1,602.6 +5.1 3,898 3,524 -9.6 216.0 194.7 -9.9 647,973 655,687 + 1.2 3,761.8 3,781.0 +0.5 160,310 163,947 +2.3 930.7 945.4 +1.6 428,388 432,058 +0.9 2,487.0 2,491.5 +0.2 59,275 59,682 +0.7 344.1 344.2 180,400 182,241 + 1.0 4,027.8 4,049.1 +0.5 42,578 43,245 + 1.6 950.6 960.8 +1.1 123,932 124,039 +0.1 2,767.0 2,756.0 -0.4 13,890 14,957 +7.7 310.1 332.3 +7.2 108,590 110,418 + 1.7 2,655.1 2,681.5 + 1.0 26,891 27,656 +2.8 657.5 671.6 +2.1 72,378 73,396 +1.4 1,769.7 1,782.4 +0.7 9,321 9,366 +0.5 227.9 227.5 -0.2 109,584 107,195 -2.2 3,822.6 3,720.4 -2.7 29,593 29,839 +0.8 1,032.3 1,035.6 +0.3 70,468 68,407 -2.9 2,458.1 2,374.2 -3.4 9,523 8,949 -6.0 332.2 310.6 -6.5 249,399 255,833 +2.6 4,307.6 4,379.4 + 1.7 61,248 63,207 +3.2 1,057.9 1,082.0 +2.3 161,610 166,216 +2.9 2,791.3 2,845.3 + 1.9 26,541 26,410 -0.5 458.4 452.1 -1.4 1,452,411 1,461,909 +0.7 4,481.5 4,450.0 -0.7 316,352 324,411 +2.5 976.1 987.5 +1.2 993,608 1,000,444 +0.7 3,065.8 3,045.3 -0.7 142,451 137,054 -3.8 439.5 417.2 -5.1 101.171 98,710 -2.4 3,738.4 3,621.4 -3.1 23,229 24,903 +7.2 858.3 913.6 +6.4 71,129 67,797 -4.7 2,628.3 2,487.3 -5.4 6,813 6,010 -11.8 251.7 220.5 -12.4 198,838 195,569 -1.6 4,442.1 4,349.5 -2.1 45,350 44,877 -1.0 1,013.1 998.1 -1.5 133,302 130,810 -1.9 2,978.0 2,909.3 -2.3 20,186 19,882 -1.5 451.0 442.2 -1.9 148,128 151,208 +2.1 4,244.7 4,306.0 + 1.4 35,171 34,846 -0.9 1,007.9 992.3 -1.5 100,185 103,404 +3.2 2,870.9 2,944.7 +2.6 12,772 12,958 + 1.5 366.0 369.0 +0.8 OFFENSES REPORTED 77 Table 4 Crime in the United States by Region, Geographic Division, and State, 2002-2003 — Continued Violent crime Murder and non- Violent crime negligent manslaughter Forcible rape Robbery Aggravated assault Rate per Rate per Rate per Rate per Rate per Area Year Population 1 Number 100,000 Number j uu,uuu Number 100,000 Number J uu,uuu Number inn nnn l uu, uuu Texas 2002 21,736,925 126,018 579.7 1,302 6.0 8,508 39.1 37,580 172.9 78,628 361.7 2003 22,118,509 122,201 552.5 1,418 6.4 8,012 36.2 37,018 167.4 75,753 342.5 Percent change -3.0 -4.7 +8.9 +7.0 -5.8 -7.5 -1.5 -3.2 -3.7 -5.3 West 2002 65,504,336 333,635 509.3 3,721 5.7 22,507 34.4 95,865 146.3 211,542 322.9 2003 66,465,849 329,002 495.0 3,774 5.7 22,385 33.7 94,298 141.9 208,545 313.8 Percent change -1.4 -2.8 +1.4 # -0.5 -2.0 -1.6 -3.1 -1.4 -2.8 Mountain 2002 19,032,790 87,096 457.6 1,013 5.3 7,454 39.2 20,659 108.5 57,970 304.6 2003 19,383,929 84,405 435.4 1,054 5.4 7,342 37.9 20,347 105.0 55,662 287.2 Percent change -3. 1 -4.8 +4.0 +2.2 -1 .5 -3.3 -1.5 -3.3 -4.0 -5.7 Arizona 2002 5,441,125 30,171 554.5 387 7.1 1,608 29.6 8,000 147.0 20,176 370.8 2003 5,580,811 28,638 513.2 441 7.9 1,856 33.3 7,619 136.5 18,722 335.5 Percent change -5. 1 -7.5 +14.0 + 11.1 +15.4 + 12.5 -4.8 -7.1 -7.2 -9.5 Colorado 2002 4,501,051 15,882 352.9 179 4.0 2,066 45.9 3,579 79.5 10,058 223.5 2003 4,550,688 15,706 345.1 177 3.9 1,893 41.6 3,735 82.1 9,901 217.6 Percent change -1.1 -2.2 -1.1 -2.2 -8.4 -9.4 +4.4 +3.2 -1.6 -2.6 Idaho 2002 1,343,124 3,419 254.6 36 2.7 497 37.0 240 17.9 2,646 197.0 2003 1,366,332 3,316 242.7 25 1.8 508 37.2 244 17.9 2,539 185.8 Percent change -3.0 -4.7 -30.6 -31.7 +2.2 +0.5 +1.7 -0.1 -4.0 -5.7 Montana 2002 910,372 3,197 351.2 16 1.8 237 26.0 283 31.1 2,661 292.3 2003 917,621 3,351 365.2 30 3.3 246 26.8 298 32.5 2,777 302.6 Percent change +4.8 +4.0 +87.5 +86.0 +3.8 +3.0 +5.3 +4.5 +4.4 +3.5 Nevada 2002 2,167,455 13,856 639.3 181 8.4 928 42.8 5,118 236.1 7,629 352.0 2003 2,241,154 13,765 614.2 197 8.8 874 39.0 5,162 230.3 7,532 336.1 Percent change -0.7 -3.9 +8.8 +5.3 -5.8 -8.9 +0.9 -2.5 -1.3 -4.5 New Mexico 2002 1,852,044 13,719 740.7 152 8.2 1,027 55.5 2,206 119.1 10,334 558.0 2003 1,874,614 12,470 665.2 112 6.0 937 50.0 1,950 104.0 9,471 505.2 Percent change -9. 1 -10.2 -26.3 -27.2 -8.8 -9.9 -1 1.6 -12.7 -8.4 -9.5 Utah 2002 2,318,789 5,488 236.7 47 2.0 943 40.7 1,140 49.2 3,358 144.8 2003 2,351,467 5,845 248.6 58 2.5 892 37.9 1,255 53.4 3,640 154.8 Percent change +6.5 +5.0 +23.4 +21.7 -5.4 -6.7 +10.1 +8.6 +8.4 +6.9 Wyoming 2002 498,830 1,364 273.4 15 3.0 148 29.7 93 18.6 1,108 222.1 2003 501,242 1,314 262.1 14 2.8 136 27.1 84 16.8 1,080 215.5 Percent change -3.7 -4. 1 -6.7 -7.1 -8. 1 -8.6 -9.7 -10.1 -2.5 -3.0 Pacific 2002 46,471,546 246,539 530.5 2,708 5.8 15,053 32.4 75,206 161.8 153,572 330.5 2003 47,081,920 244,597 519.5 2,720 5.8 15,043 32.0 73,951 157.1 152,883 324.7 Percent change -0.8 -2. 1 +0.4 -0.9 -0. 1 - 1 .4 -1.7 -2.9 -0.4 -1.7 Alaska 2002 641,482 3,627 565.4 33 5.1 511 79.7 489 76.2 2,594 404.4 2003 648,818 3,850 593.4 39 6.0 600 92.5 444 68.4 2,767 426.5 Percent change +6.1 +4.9 + 18.2 +16.8 + 17.4 + 16.1 -9.2 -10.2 +6.7 +5.5 California 2002 35,001,986 208,388 595.4 2,395 6.8 10,198 29.1 64,968 185.6 130,827 373.8 2003 35,484,453 205,551 579.3 2,407 6.8 9,994 28.2 63,770 179.7 129,380 364.6 Percent change -1.4 -2.7 +0.5 -0.9 -2.0 -3.3 -1.8 -3.2 -1.1 -2.5 Hawaii 2002 1,240,663 3,262 262.9 24 1.9 372 30.0 1,210 97.5 1,656 133.5 2003 1,257,608 3,400 270.4 22 1.7 367 29.2 1,168 92.9 1,843 146.5 Percent change +4.2 +2.8 -8.3 -9.6 -1.3 -2.7 -3.5 -4.8 + 11.3 +9.8 Oregon 2002 3,520,355 10,298 292.5 72 2.0 1,238 35.2 2,742 77.9 6,246 177.4 2003 3,559,596 10,520 295.5 68 1.9 1,218 34.2 2,851 80.1 6,383 179.3 Percent change +2.2 + 1.0 -5.6 -6.6 -1.6 -2.7 +4.0 +2.8 +2.2 + 1.1 See footnotes at end of table. 78 CRIME IN THE UNITED STATES Property crime Rate per Number 100,000 1,004,274 4,620.1 1,016,422 4,595.3 + 1.2 -0.5 2,567,427 3,919.5 2,618,272 3,939.3 +2.0 +0.5 844,737 4,438.3 851,265 4,391.6 +0.8 -1.1 318,296 5,849.8 314,335 5,632.4 -1.2 -3.7 180,054 4,000.3 179,340 3,940.9 -0.4 -1.5 39,128 2,913.2 39,742 2,908.7 + 1.6 -0.2 28,751 3,158.2 28,428 3,098.0 -1.1 -1.9 83,896 3,870.7 96,109 4,288.4 +14.6 +10.8 80,477 4,345.3 77,301 4,123.6 -3.9 -5.1 97,641 4,210.9 99,362 4,225.5 + 1.8 +0.3 16,494 3,306.5 16,648 3,321.3 +0.9 +0.4 1,722,690 3,707.0 1,767,007 3,753.0 +2.6 +1.2 24,118 3,759.7 24,280 3,742.2 +0.7 -0.5 1,176,484 3,361.2 1,215,086 3,424.3 +3.3 +1.9 71,976 5,801.4 65,867 5,237.5 -8.5 -9.7 161,145 4,577.5 170,230 4,782.3 +5.6 +4.5 Burglary Rate per Number 100,000 212,602 978.1 219,785 993.7 +3.4 +1.6 Property crime Larceny-theft Rate per Number 100,000 688,992 3,169.7 698,433 3,157.7 + 1.4 -0.4 Motor vehicle theft Rate per Number 100,000 102,680 472.4 98,204 444.0 -4.4 -6.0 493,354 753.2 1,663,662 507,503 763.6 1,676,869 +2.9 +1.4 +0.8 157,652 828.3 568,436 163,071 841.3 567,327 +3.4 +1.6 -0.2 59,087 1,085.9 201,541 58,613 1,050.3 198,725 -0.8 -3.3 -1.4 31,678 703.8 125,193 32,370 711.3 124,271 +2.2 +1.1 -0.7 7,441 554.0 29,060 7,791 570.2 29,342 +4.7 +2.9 +1.0 3,289 361.3 23,679 3,722 405.6 22,800 +13.2 +12.3 -3.7 18,951 874.3 47,459 21,977 980.6 53,294 +16.0 +12.2 +12.3 19,634 1,060.1 53,406 19,218 1,025.2 50,827 -2.1 -3.3 -4.8 15,124 652.2 74,795 16,769 713.1 74,829 +10.9 +9.3 * 2,448 490.7 13,303 2,611 520.9 13,239 +6.7 +6.1 -0.5 335,702 722.4 1,095,226 344,432 731.6 1,109,542 +2.6 +1.3 +1.3 3,908 609.2 17,739 3,855 594.2 17,977 -1.4 -2.5 +1.3 238,428 681.2 715,692 242,274 682.8 731,486 + 1.6 +0.2 +2.2 12,722 1,025.4 49,344 11,409 907.2 44,807 -10.3 -11.5 -9.2 25,696 729.9 118,925 28,626 804.2 122,615 +11.4 +10.2 +3.1 2.539.8 410,411 626.5 2.522.9 433,900 652.8 -0.7 +5.7 +4.2 2,986.6 118,649 623.4 2.926.8 120,867 623.5 -2.0 +1.9 * 3,704.0 57,668 1,059.9 3.560.9 56,997 1,021.3 -3.9 -1.2 -3.6 2.781.4 23,183 515.1 2,730.8 22,699 498.8 -1.8 -2.1 -3.2 2.163.6 2,627 195.6 2.147.5 2,609 190.9 -0.7 -0.7 -2.4 2,601.0 1,783 195.9 2.484.7 1,906 207.7 -4.5 +6.9 +6.1 2.189.6 17,486 806.8 2,378.0 20,838 929.8 +8.6 +19.2 +15.3 2,883.6 7,437 401.6 2,711.3 7,256 387.1 -6.0 -2.4 -3.6 3,225.6 7,722 333.0 3,182.2 7,764 330.2 -1.3 +0.5 -0.9 2.666.8 743 148.9 2.641.2 798 159.2 -1.0 +7.4 +6.9 2.356.8 291,762 627.8 2.356.6 313,033 664.9 * +7.3 +5.9 2.765.3 2,471 385.2 2.770.7 2,448 377.3 +0.2 -0.9 -2.1 2,044.7 222,364 635.3 2.061.4 241,326 680.1 +0.8 +8.5 +7.1 3,977.2 9,910 798.8 3.562.9 9,651 767.4 -10.4 -2.6 -3.9 3,378.2 16,524 469.4 3,444.6 18,989 533.5 +2.0 +14.9 +13.7 OFFENSES REPORTED 79 Table 4 Crime in the United States by Region, Geographic Division, and State, 2002-2003 — Continued Violent crime Murder and non- Violent crime negligent manslaughter Forcible rape Robbery Aggravated assault Rate per Rate per Rate per Rate per Rate per Area Year Population 1 Number 100,000 Number 100,000 Number 100,000 Number 100,000 Number 100,000 Washington 2002 6,067,060 20,964 345.5 184 3.0 2,734 45.1 5,797 95.5 12,249 201.9 2003 6,131,445 21,276 347.0 184 3.0 2,864 46.7 5,718 93.3 12,510 204.0 Percent change + 1.5 +0.4 0.0 -1.1 +4.8 +3.7 -1.4 -2.4 +2.1 + 1.1 Puerto Rico 2002 3,859,523 13,471 349.0 774 20.1 241 6.2 8,978 232.6 3,478 90.1 2003 3,878,532 11,885 306.4 779 20.1 204 5.3 7,737 199.5 3,165 81.6 Percent change -11.8 -12.2 +0.6 +0.2 -15.4 -15.8 -13.8 -14.2 -9.0 -9.4 1 Populations are U.S. Census Bureau provisional estimates as of July 1, 2003, and July 1, 2002. 2 The 2002 crime figures have been adjusted. 3 Limited data for 2003 were available for Illinois and Kentucky. See Offense Estimation, Appendix I, for details. 4 Includes offenses reported by the Zoological Police and the Metro Transit Police. *Less than one-tenth of 1 percent. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. 80 CRIME IN THE UNITED STATES Property crime Property crime Burglary Larceny-theft Motor vehicle theft Rate per Rate per Rate per Rate per Number 100,000 Number 100,000 Number 100,000 Number 100,000 288,967 4,762.9 54,948 905.7 193,526 3,189.8 40,493 667.4 291,544 4,754.9 58,268 950.3 192,657 3,142.1 40,619 662.5 +0.9 -0.2 +6.0 +4.9 -0.4 -1.5 +0.3 -0.7 77,312 2,003.1 24,737 640.9 39,640 1,027.1 12,935 335.1 69,895 1,802.1 20,857 537.8 36,827 949.5 12,211 314.8 -9.6 -10.0 -15.7 -16.1 -7.1 -7.6 -5.6 -6.1 OFFENSES REPORTED Table 5 Crime in the United States by State, 2003 Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft ALABAMA Metropolitan Statistical Area 3,179,196 Area actually reporting 95.2% 14,871 242 1,197 5,305 8,127 139,325 33,305 93,858 12,162 Estimated total 100.0% 15,364 247 1,240 5,441 8,436 144,477 34,489 97,441 12,547 Cities outside metropolitan areas 557,794 Area actually reporting 92.9% 2,698 30 245 477 1,946 26,129 5,004 19,687 1,438 LXlimuitftl tola! 100.0% 2,881 32 263 507 2,079 27,863 5,339 20,993 1,531 Nonmetropohtan counties 763,762 Area actually reporting 79.7% 866 16 122 72 656 7,894 2,724 4,469 701 LXlimuted total 100.0% 1,086 20 153 90 823 9,901 3,417 5,605 879 State Total 4 500 752 19,331 299 1,656 6 038 11,338 182 241 43 245 124,039 14 957 Rate per 100,000 inhabitants 429.5 6,6 36.8 134.2 251.9 4,049.1 960.8 2,756.0 332.3 ALASKA Metropolitan Statistical Area 315,592 Area actually reporting 100.0% 2,222 21 291 389 1,521 14,707 1,798 11,488 1,421 Cities outside metropolitan areas 122,843 Area actually reporting 93.4% 689 3 122 30 534 4,421 522 3,471 428 Estimated total i on 0% 738 3 1 3 1 32 571 4 733 559 3 716 458 Nonmetropohtan counties 210,383 Area actually reporting 100.0% 890 15 178 23 674 4,840 1,498 2,773 569 State Total 648 818 3 850 39 600 444 2 767 24,280 3,855 17 977 2 448 Rate per 100,000 inhabitants 593.4 6.0 92.5 68.4 426.5 3,742.2 594.2 2,770.7 377.3 ARIZONA Metropolitan Statistical Area 4,958,626 Area actually reporting 98.4% 25,898 415 1,719 7,393 16,371 288,776 52,742 181,499 54,535 Estimated total 100.0% 26,208 416 1,745 7,460 16,587 292,974 53,653 184,112 55,209 Cities outside metropolitan areas 302,704 Area actually reporting 98.8% 1,177 13 68 123 973 14,582 2,663 10,828 1,091 Estimated total 100.0% 1,192 13 69 125 985 14,765 2,696 10,964 1,105 Nonmetropohtan counties 319,481 Area actually reporting 100.0% 1,238 12 42 34 1,150 6,596 2,264 3,649 683 State Total 5,580 811 28 638 441 1 856 7,619 18 722 314 335 58,613 198 725 56 997 Rate per 100,000 inhabitants 513.2 7.9 33.3 136.5 335.5 5,632.4 1,050.3 3,560.9 1,021.3 ARKANSAS Metropolitan Statistical Area 1,566,369 Area actually reporting 92.8% 8,199 1 15 651 1,804 5,629 71,247 15,972 50,710 4,565 Estimated total 100.0% 8,486 1 17 680 1,830 5,859 74,132 16,800 52,599 4,733 Cities outside metropolitan areas 456,839 Area actually reporting 86. 1 % 2,429 25 108 288 2,008 14,204 4,166 9,417 621 Estimated total 100.0% 2,822 29 125 335 2,333 16,501 4,840 10,940 721 Nonmetropohtan counties 702,506 Area actually reporting 79.6% 894 22 78 50 744 6,431 2,598 3,390 443 Estimated total 100.0% 1,123 28 98 63 934 8,077 3,263 4,258 556 State Total 2,725,714 12,431 174 903 2,228 9,126 98,710 24,903 67,797 6,010 Rate per 100,000 inhabitants 456.1 6.4 33 i 81.7 334.8 3,621.4 913.6 2,487.3 220.5 CALIFORNIA Metropolitan Statistical Area 34,663,398 Area actually reporting 100.0% 202,433 2,369 9,695 63,482 126,887 1,191,157 235,397 716,933 238,827 Cities outside metropolitan areas 263,004 Area actually reporting 100.0% 1,397 7 152 180 1,058 12,364 2,960 8,383 1,021 Nonmetropolitan counties 558,051 Area actually reporting 100.0% 1,721 31 147 108 1,435 11,565 3,917 6,170 1,478 State Total 35,484,453 205,551 2,407 9,994 63,770 129,380 1,215,086 242,274 731,486 241,326 Rate per 100,000 inhabitants 579.3 6.8 28.2 179.7 364.6 3,424.3 682.8 2,061.4 680.1 See footnotes at end of table. 82 CRIME IN THE UNITED STATES Table 5 Crime in the United States by State, 2003 — Continued Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft COLORADO Metropolitan Statistical Area 3,900,941 Area actually reporting 95.4% 13,767 160 1,638 3,562 8,407 154,403 28,339 105,124 20,940 Estimated total 100.0% 14,276 164 1,699 3,669 8,744 162,012 29,524 110,630 21,858 Cities outside metropolitan areas 295,314 Area actually reporting 87.4% 863 9 135 52 667 1 1 ,047 1,648 8,923 476 LXlimuitftl tokil 100.0% 986 10 154 59 763 12,635 1,885 10,206 544 Nonmetropolitan counties 354,433 Area actually reporting 94.5% 420 3 38 7 372 4,435 908 3,246 281 Estimated total 100.0% 444 3 40 7 394 4,693 961 3,435 297 State Total 4,550,688 15,706 177 1,893 3,735 9,901 179,340 32,370 124,271 22,699 Rate per 100,000 inhabitants 345.1 39 41.6 82.1 217.6 3,940.9 711.3 2,730.8 498.8 CONNECTICUT Metropolitan Statistical Area 2,813,777 Area actually reporting 100.0% 9,359 101 570 4,002 4,686 81,477 13,071 58,074 10,332 Cities outside metropolitan areas 157,399 Area actually reporting 100.0% 300 0 26 66 208 3,307 641) 2,445 222 Nonmetropolitan counties 512,196 Area actually reporting 100.0% 1,077 3 56 78 940 6,017 1,898 3,647 472 State Total 3,483,372 10,736 104 652 4,146 5,834 90,801 15,609 64,166 11,026 Rate per 100,000 inhabitants 308.2 3.0 18.7 1 19.0 167.5 2,606.7 448.1 1,842.1 316.5 DELAWARE Metropolitan Statistical Area 651,493 Area actually reporting 100.0% 4,430 19 278 1,272 2,861 22,802 4,662 15,478 2,662 Cities outside metropolitan areas 38,608 Area actually reporting 100.0% 340 24 72 244 2,051 427 1,567 57 Nonmetropolitan counties 127,390 Area actually reporting 100.0% 609 5 5 [ 45 508 2,814 877 1,776 161 State Total 817,491 5,379 24 353 1,389 3,613 27,667 5,966 18,821 2,880 Rate per 100,000 inhabitants 658.0 2.9 43.2 169.9 442.0 3,384.4 729.8 2,302.3 352.3 DISTRICT OF COLUMBIA 1 IVletropohtan Statistical Area 563,384 Area actually reporting 100.0% 9,060 249 274 3,941 4,596 32,678 4,671 18,104 9,903 Cities outside metropolitan areas Nonmetropolitan counties None Total 563 384 9 060 249 274 3 941 4 596 32 678 4 671 18 104 9 903 Rate per 100,000 inhabitants 1,608.1 44.2 48.6 699.5 815.8 5,800.3 829.1 3,213.4 1,757.8 FLORIDA Metropolitan Statistical Area 15,959,074 Area actually reporting 99.9% 118,630 872 6,335 30,844 80,579 725,538 161,346 484,816 79,376 Estimated total 100.0% 118,659 872 6,337 30,852 80,598 725,762 161,392 484,973 79,397 Cities outside metropolitan areas 196,937 Area actually reporting 99.2% 1,746 11 81 327 1,327 11,687 2,634 8,333 720 Estimated total 100.0% 1,761 11 82 330 1,338 11,780 2,655 8,399 726 Nonmetropolitan counties 863,057 Area actually reporting 100.0% 3,860 41 308 341 3,170 20,154 6,597 12,117 1,440 State Total 17,019,068 124,280 924 6,727 31,523 85,106 757,696 170,644 505,489 81,563 Rate per 100,000 inhabitants 730.2 5.4 39.5 185.2 500.1 4,452.0 1,002.7 2,970.1 479.2 See footnotes at end of table. OFFENSES REPORTED 83 Table 5 Crime in the United States by State, 2003 — Continued Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft GEORGIA Metropolitan Statistical Area 6,964,510 Area actually reporting 97.1% 31,989 563 1,828 12,668 16,930 302,922 63,860 199,987 39,075 Estimated total 100.0% 32,721 573 1,876 12,936 17,336 311,054 65,516 205,459 40,079 Cities outside metropolitan areas 642,357 Area actually reporting 85.1% 3,511 44 201 746 2,520 30,512 5,917 23,222 1,373 LXlimuitftl tokil 100. 0% 4,127 52 236 877 2,962 35,857 6,954 27,289 1,614 Nonmetropolitan counties 1,077,848 Area actually reporting 87.4% 2,251 27 106 212 1,906 19,750 5,675 12,608 1,467 Estimated total 100.0% 2,574 31 121 242 2,180 22,590 6,491 14,421 1,678 State Total 8 684 715 39,422 656 2,233 14 055 22,478 369 501 78 961 247,169 43 371 Rate per 100,000 inhabitants 453.9 7.6 25.7 161.8 258.8 4,254.6 909.2 2,846.0 499.4 HAWAII Metropolitan Statistical Area 905,301 Area actually reporting 100.0% 2,606 15 266 989 1,336 48,306 7,967 32,086 8,253 Cities outside metropolitan areas Nonmetropolitan counties 352,307 Area actually reporting 100.0% 794 7 101 179 507 17,561 3,442 12,721 1,398 State Total 1,257,608 3,400 22 367 1 168 1,843 65 867 11 409 44,807 9 651 Rate per 100,000 inhabitants 270.4 1.7 29.2 92.9 146.5 5,237.5 907.2 3,562.9 767.4 IDAHO Metropolitan Statistical Area 864,948 Area actually reporting 99.0% 2,354 17 402 195 1,740 28,531 5,308 21,332 1,891 Estimated total 100.0% 2,370 17 405 195 1,753 28,715 5,352 21,460 1,903 Cities outside metropolitan areas 212,578 Area actually reporting 97.7% 491 o 52 37 402 7 067 1,419 5,279 369 Estimated total 100.0% 502 0 53 38 411 7,233 1,452 5,403 378 Nonmetropolitan counties 288,806 Area actually reporting 98.4% 437 8 49 1 1 369 3,733 971 2,439 323 Estimated total 100.0% 444 8 50 1 1 375 3,794 987 2,479 328 State Total 1,366,332 3,316 25 508 244 2,539 39,742 7,791 29,342 2,609 Rate per 100,000 inhabitants 242.7 1,8 37.2 17.9 185.8 2,908.7 570.2 2,147.5 190.9 ILLINOIS 2 State Total 12,653,544 70 456 896 4 167 23,809 41 584 415,593 78,288 295 541 41 764 Rate per 100,000 inhabitants 556.8 7.1 32.9 188.2 328.6 3,284.4 618.7 2,335.6 330.1 INDIANA Metropolitan Statistical Area 4,790,924 Area actually reporting 91.2% 18,489 312 1,371 5,839 10,967 165,549 32,915 114,774 17,860 Estimated total 100.0% 19,314 317 1,437 5,991 11,569 174,579 34,672 121,187 18,720 Cities outside metropolitan areas 507,223 Area actually reporting 86.8% 978 8 104 223 643 18,672 3,211 14,493 968 Estimated total 100.0% 1,126 9 120 257 740 21,499 3,697 16,687 1,115 Nonmetropolitan counties 897,496 Area actually reporting 59.4% 841 9 97 92 643 7,101 1,908 4,639 554 Estimated total 100.0% 1,416 15 163 155 1,083 11,956 3,212 7,811 933 State Total 6,195,643 21,856 341 1,720 6,403 13,392 208,034 41,581 145,685 20,768 Rate per 100,000 inhabitants 352.8 5.5 27.8 103.3 216.2 3,357.7 671.1 2,351.4 335.2 See footnotes at end of table. 84 CRIME IN THE UNITED STATES Table 5 Crime in the United States by State, 2003— Continued Violent Area IOWA Population Murder and non- negligent man- slaughter Violent crime Property crime Forcible rape Robbery Aggravated assault Property crime Burglary Motor Larceny- vehicle theft theft Metropolitan Statistical Area 1 CO") A C-7 1 ,j9Z,4j / Area actually reporting 98.6% 5,734 37 Estimated total 1 AH tW r 1UU.U 10 5 778 Cities outside metropolitan areas 594,558 Area actually reporting 91.0% 1,622 5 Estimated total 100.0% 1,783 5 Nonmetropolitan counties 757,047 Area actually reporting 99.3% 456 5 Estimated total 100.0% 459 5 Mate lotai Z,V44,Uoz 8,020 47 Rate per 100,000 inhabitants 272.4 1.6 KANSAS Metropolitan Statistical Area 1 £Q1 QCK i ,oy i ,yy j Area actually reporting 96 7% 7 559 /V Estimated total 1 A A (\nt 100.07c 7,737 80 Cities outside metropolitan areas 605,937 Area actually reporting 2 110 34 Estimated total 1 AA (\Cf 2,2 10 36 Nonmetropolitan counties 4ZJ,J / J Area actually reporting Q"7 1®- 7 1 .J /C 81 P n Estimated total i aa i\ci 824 1 Mate lotai t Til cm 10,771 123 Rate per 100,000 inhabitants 395.5 4.5 KENTUCKY 2 ohm lotai ■4, 1 1 / .o— / i ft nil lu, / / / loo K.aie pei iuu,uuu mnauiidnrs ^61 7 4 6 1 >l J I. 1 .1 1 V 1 > ;\ ■ ■ Metropolitan Statistical Area j,jOo,jjo Area actually reporting 97.9% 22.398 495 Estimated total 100 0% 22 799 497 Cities outside metropolitan areas 420,432 Area actually reporting 74.7% 2,389 26 Estimated total 100.0% 3,197 35 Nonmetropolitan counties 707,564 Area actually reporting 88.5% 2,713 48 Estimated total 100.0% 3,066 54 State Total 4,496,334 29,062 586 Rate per 100,000 inhabitants 646.3 13.0 MAINE Metropolitan Statistical Area 757,912 Area actually reporting 100.0% 874 10 Cities outside metropolitan areas 276,145 Area actually reporting 100.0% 397 3 Nonmetropolitan counties 271,671 Area actually reporting 100.0% 151 3 State Total 1,305,728 1,422 16 Rate per 100,000 inhabitants 108.9 1.2 ^77 1,005 4,1 15 61,238 11,192 45,787 4,259 582 1,010 4,149 61,890 11,303 46,303 4,284 137 95 1,385 18,059 3,860 13,376 823 151 104 1,523 19,852 4,243 14,704 905 29 9 413 5,398 1,986 3,003 409 9 4 1 6 5,436 2,000 3.024 4 1 2 762 1,123 6,088 87,178 17,546 64,031 5,601 25.9 38.1 206.8 2,961.1 596.0 2,174.9 190.2 659 1,969 4,852 72,431 14,104 52,314 6,013 677 2,007 4,973 74,483 14,468 53,837 6,178 248 199 1,629 25,391 5,046 19,315 1,030 260 208 1,706 26,598 5,286 20,233 1,079 102 30 663 7,491 2,076 4,909 506 105 3 1 681 7,696 2, 133 5,043 520 1,042 2,246 7,360 108,777 21,887 79,113 7,777 38.3 82.5 270.2 3,994.0 803.6 2,904.8 285.6 1,054 3,196 6,339 110,418 27,656 73,396 9,366 25.6 77.6 153.9 2,681.5 671.6 1,782.4 227.5 1 514 6 254 14 135 155 065 ^4 164 103 087 17 814 1,537 6,333 14,432 158,822 34,822 105,952 18,048 125 367 1,871 16,728 4,234 11,772 722 167 491 2,504 22,389 5,667 15,756 966 128 217 2,320 12,703 3,882 8,053 768 145 245 2,622 14,358 4,388 9,102 868 1,849 7,069 19,558 195,569 44,877 130,810 19,882 41.1 157.2 435.0 4,349.5 998.1 2,909.3 442.2 224 243 397 19,985 3,763 15,329 893 99 38 257 8,322 1,547 6,441 334 31 8 109 3,771 1,269 2,273 229 354 289 763 32,078 6,579 24,043 1,456 27.1 22.1 58.4 2,456.7 503.9 1,841.3 111.5 See footnotes at end of table. OFFENSES REPORTED 85 Table 5 Crime in the United States by State, 2003— Continued Violent Area MARYLAND Population Murder and non- negligent man- slaughter Violent crime Property crime Forcible rape Robbery Aggravated assault Property crime Burglary Motor Larceny- vehicle theft theft Metropolitan Statistical Area j, zz 5 ,uyo Area actually reporting 100.0% 37,461 520 Cities outside metropolitan areas 73,338 Area actually reporting 100.0% 632 2 Nonmetropolitan counties 212,475 Area actually reporting i nn eye?,. OoJ D >>I<1K lOlal 38 778 Kate per iuu,uuu lnnaoitants 703.9 9.5 \T A CC A PHI TSPTTti Metropolitan Statistical Area fi /inn im o,4UU,ZU / Area actually reporting y /.{JVC 29 564 1 4^ Estimated total 30,122 142 Cities outside metropolitan areas 51,15 1 Area actually reporting 87.1% 56 0 Estimated total 100.0% 74 0 Nonmetropolitan counties 978 Area actually reporting 100.0% 0 0 mate lotai £ axx A'yy 1 11 Kaie per iuu,uuu innaDiianrs 469 4 i 2 Metropolitan Statistical Area o,Zl J, /o4 Area actually reporting QQ A Ct. An ikq jV 1 Estimated total 1 AH tW r 47 498 59 1 Cities outside metropolitan areas 643,8 14 Area actually reporting 91.9% 1,414 4 Estimated total 100.0% 1,511 4 Nonmetropolitan counties 1,222,407 Area actually reporting 97.5% 2,452 21 Estimated total i nn tw~ ^515 >>i5 Area actually reporting 97.5% 3,939 1 12 305 652 2,870 41,574 17,453 21,145 2,976 Estimated total 100.0% 4,041 1 15 313 669 2,944 42,653 17,906 21,694 3,053 State Total 8,407,248 38,246 509 2,139 12,229 23,369 359,660 100,687 232,081 26,892 Rate per 100,000 inhabitants 454.9 6.1 25.4 145.5 278.0 4,278.0 1 197.6 2,760.5 319.9 NORTH DAKOTA Metropolitan Statistical Area 286,263 Area actually reporting 99.5% 253 3 73 28 149 7,382 1,039 5,825 518 Estimated total 100.0% 254 3 73 28 150 7,432 1,047 5,864 521 Cities outside metropolitan areas 141,733 Area actually reporting 84.0% 140 6 51 16 67 3,527 424 2,804 299 Estimated total 100.0% 167 7 61 19 80 4,201 505 3,340 356 Nonmetropolitan counties 205,841 Area actually reporting 81.6% 59 2 14 3 40 1,348 317 867 164 Estimated total 100.0% 72 2 17 4 49 1,653 389 1,063 201 State Total 633,837 493 12 151 51 279 13,286 1,941 10,267 1,078 Rate per 100,000 inhabitants 77.8 1.9 23.8 8.0 44.0 2,096.1 306.2 1,619.8 170.1 See footnotes at end of table. 88 CRIME IN THE UNITED STATES Table 5 Crime in the United States by State, 2003 — Continued Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft OHIO Metropolitan Statistical Area 9,211,400 Area actually reporting 90.2% 33,940 443 3,829 15,781 13,887 335,607 77,844 221,267 36,496 Estimated total 100.0% 35,357 454 4,051 16,274 14,578 360,292 82,495 239,706 38,091 Cities outside metropolitan areas 834,409 Area actually reporting 69.6% 1,261 24 241 354 642 26,246 4,677 20,544 1,025 LXlimuitftl tokil 100.0% 1,810 34 346 508 922 37,688 6,716 29,500 1,472 Nonmetropohtan counties 1,389,989 Area actually reporting 70.9% 664 24 135 76 429 12,999 4,055 7,928 1,016 Estimated total 100.0% 936 34 190 107 605 18,337 5,720 11,184 1,433 State Total 11,435,798 38,103 522 4,587 16,889 16,105 416,317 94,931 280,390 40,996 Rate per 100,000 inhabitants 333.2 4.6 40.1 147.7 140.8 3,640.5 830.1 2,451.9 358.5 OKLAHOMA Metropolitan Statistical Area 2,212,103 Area actually reporting 100.0% 13,093 154 995 2,808 9,136 113,012 24,122 78,534 10,356 Cities outside metropolitan areas 696,232 Area actually reporting 100.0% 3,222 29 364 373 2,456 29,735 7,394 20,615 1,726 Nonmetropolitan counties 603,197 Area actually reporting 100.0% 1,443 23 142 43 1,235 8,461 3,330 4,255 876 State Total 3 511 532 17 758 206 1 501 3,224 12 827 151 208 34,846 103 404 12 958 Rate per 100,000 inhabitants 505.7 5,9 42.7 91.8 365.3 4,306.0 992.3 2,944.7 369.0 Metropolitan Statistical Area 2,740,172 Area actually reporting 99.0% 9,033 54 981 2,575 5,423 139,022 22,234 100,182 16,606 Estimated total 100.0% 9,075 54 987 2,584 5,450 139,928 22,406 100,810 16,712 Cities outside metropolitan areas 371,581 Area actually reporting 98.2% 956 5 134 212 605 20,455 3,489 15,542 1,424 Estimated total 100.0% 973 5 136 216 616 20,835 3,554 15,831 1,450 Nonmetropohtan counties 447,843 Area actually reporting 90.4% 427 86 46 287 8,559 2,410 5,401 748 Estimated total 100.0% 472 9 95 5 1 317 9,467 2,666 5,974 827 State Total 3,559 596 10 520 68 1 218 2,851 6 383 170,230 28,626 122 615 18 989 Rate per 100,000 inhabitants 295.5 1.9 34.2 80.1 179.3 4,782.3 804.2 3,444.6 533.5 PENNSYLVANIA Metropolitan Statistical Area 10,391,620 Area actually reporting 91.3% 43,421 606 2,848 16,917 23,050 245,380 43,022 172,494 29,864 Estimated total 100.0% 45,463 622 2,996 17,441 24,404 264,583 45,786 187,517 31,280 Cities outside metropolitan areas 867,466 Area actually reporting 73.9% 1,763 9 173 274 1,307 15,180 2,352 12,068 760 Estimated total 100.0% 2,386 12 234 371 1,769 20,543 3,183 16,331 1,029 Nonmetropohtan counties 1,106,369 Area actually reporting 100.0% 1,367 17 326 168 856 15,515 4,950 9,432 1,133 State Total 12,365,455 49,216 651 3,556 17,980 27,029 300,641 53,919 213,280 33,442 Rate per 100,000 inhabitants 398.0 5,3 28.8 145.4 218.6 2,431.3 436.0 1,724.8 270.4 PUERTO RICO Metropolitan Statistical Area 3,683,868 Area actually reporting 100.0% 11,614 756 200 7,636 3,022 68,252 19,969 36,220 12,063 Cities outside metropolitan areas 194,664 Area actually reporting 100.0% 271 23 4 101 143 1,643 888 607 148 Total 3,878,532 11,885 779 204 7,737 3,165 69,895 20,857 36,827 12,211 Rate per 100,000 inhabitants 306.4 20.1 5.3 199.5 81.6 1,802.1 537.8 949.5 314.8 See footnotes at end of table. OFFENSES REPORTED 89 Table 5 Crime in the United States by State, 2003 — Continued Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft RHODE ISLAND Metropolitan Statistical Area 1,076,164 Area, actually reporting 100.0% 3,050 23 49 1 828 1,708 32,184 5,521 22,285 4,378 Cities outside metropolitan areas Nonmetropolitan counties None Area actually reporting 100.0% 24 2 14 2 6 47 3 35 9 State Total 1,076,164 3,074 25 505 830 1,714 32,231 5,524 22,320 4,387 Rate per 100,000 inhabitants 285.6 2.3 46.9 77. 1 159.3 2,995.0 513.3 2,074.0 407.7 SOUTH CAROLINA Metropolitan Statistical Area 3,112,033 Area actually reporting 99.9% 24,873 223 1,445 4,581 18,624 143,710 32,333 98,452 12,925 Estimated total 100.0% 24,880 223 1,445 4,582 18,630 143,772 32,343 98,500 12,929 Cities outside metropolitan areas 265,266 Area actually reporting 99.5% 3,275 27 1 14 518 2,616 16,812 3,547 12,461 804 Estimated total 100.0% 3,292 27 1 15 521 2,629 16,896 3,565 12,523 808 Nonmetropolitan counties 769,853 Area actually reporting 100.0% 4,736 50 283 567 3,836 25,003 7,674 15,304 2,025 State Total 4,147 152 32 908 300 1 843 5,670 25 095 185,671 43,582 126 327 15 762 Rate per 100,000 inhabitants 793.5 7.2 44.4 136.7 605.1 4 477. 1 1,050.9 3,046.1 380.1 SOUTH DAKOTA Metropolitan Statistical Area 324,249 Area actually reporting 97.1% 846 6 240 81 519 8,996 1,562 6,910 524 Estimated total 100.0% 864 6 247 81 530 9,185 1,593 7,057 535 Cities outside metropolitan areas 201,164 Area actually reporting 91.1% 267 1 64 10 192 4,343 759 3,372 212 Estimated total 100 0% 293 1 70 [ | 21 1 4 770 834 3,703 233 Nonmetropolitan counties 238,896 Area actually reporting 83.8% 140 2 31 10 97 1,127 374 664 89 Estimated total 100.0% 168 3 37 [2 1 16 1,344 446 792 106 State Total 764,309 1,325 10 354 104 857 15,299 2,873 11,552 874 Rate per 100,000 inhabitants 173.4 1.3 46.3 13.6 1 12.1 2,001.7 375.9 1,511.4 114.4 TENNESSEE Metropolitan Statistical Area 4,237,335 Area actually reporting 100.0% 33,347 337 1,770 8,796 22,444 205,209 48,498 134,1 18 22,593 Cities outside metropolitan areas 578,487 Area actually reporting 100.0% 3,576 29 1 72 461 2,914 29,700 6,595 21,328 1 777 Nonmetropolitan counties 1,025,926 Area actually reporting 100.0% 3,254 29 143 1 15 2,967 20,924 8,1 14 10,770 2,040 State Total 5,841,748 40,177 395 2,085 9,372 28,325 255,833 63,207 166,216 26,410 Rate per 100,000 inhabitants 687.8 6.8 35.7 160.4 484.9 4,379.4 1,082.0 2,845.3 452.1 TEXAS Metropolitan Statistical Area 19,139,661 Area actually reporting 99.9% 112,887 1,287 7,172 36,079 68,349 933,337 196,088 643,619 93,630 Estimated total 100.0% 112,910 1,287 7,174 36,085 68,364 933,649 196,149 643,847 93,653 Cities outside metropolitan areas 1,373,327 Area actually reporting 99.3% 5,889 62 554 769 4,504 55,776 12,868 40,288 2,620 Estimated total 100.0% 5,918 62 556 770 4,530 56,063 12,937 40,497 2,629 Nonmetropolitan counties 1,605,521 Area actually reporting 100.0% 3,373 69 282 163 2,859 26,710 10,699 14,089 1,922 State Total 22,118,509 122,201 1,418 8,012 37,018 75,753 1,016,422 219,785 698,433 98,204 Rate per 100,000 inhabitants 552.5 6.4 36.2 167.4 342.5 4,595.3 993.7 3,157.7 444.0 See footnotes at end of table. 90 CRIME IN THE UNITED STATES Table 5 Crime in the United States by State, 2003 — Continued Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft UTAH Metropolitan Statistical Area 2,078,616 Area actually reporting 98.1% 5,317 52 785 1,212 3,268 90,781 15,082 68,451 7,248 Estimated total 100.0% 5,401 53 802 1,223 3,323 92,168 15,325 69,488 7,355 Cities outside metropolitan areas 128,198 Area actually reporting 91.9% 226 3 50 1 6 1 57 4,173 7 1 9 3,237 2 1 7 Estimated total 1 A A no? lUU.Uvc 245 3 54 1 7 1 7 1 4.539 782 3,521 236 Nonmetropolitan counties 144,653 Area actually reporting 94.3% 1 88 2 34 14 1 38 2.504 624 1,717 163 Estimated total 1UU.U 7c 1 QQ 2 "Xf, JO 1 V l j 1 ! (-. oo_ i con l,oZU 1 71 Male lotal 2,351,467 5,845 58 892 1,255 3,640 99,362 16,769 74,829 7,764 Rate per 100,000 inhabitants 248.6 2.5 37.9 53.4 154.8 4,225.5 713.1 3,182.2 330.2 VERMONT Metropolitan Statistical Area 203,769 Area actually reporting 96.4% 344 4 55 34 251 5,334 1,153 3,944 237 Estimated total 1 AA no? lUU.Uvc 352 4 55 35 258 5,521 1 , 1 89 4,089 243 Cities outside metropolitan areas 197,181 Area actually reporting 1 A A (\nt 100.07c 225 1 46 1 9 1 59 5,215 792 4,227 196 Nonmetropolitan counties 218,157 Area actually reporting i aa no? lUU.Uvc 1 05 9 20 6 70 2,885 977 1,701 207 Mate lotal 619,107 682 14 121 60 487 13,621 2,958 10,017 646 Rate per 100,000 inhabitants 1 10.2 2.3 19.5 9.7 78.7 2,200.1 477.8 1,618.0 104.3 Metropolitan Statistical Area 6,295,851 Area actually reporting 99.2% 18,115 373 1,498 6,306 9,938 177,667 24,735 136,521 16,411 Estimated total 100.0% 18,324 375 1,516 6,363 10,070 179,518 24,986 137,964 16,568 Cities outside metropolitan areas 265,881 Area actually reporting 96.6% 754 5 79 1 49 52 1 8,099 979 6,684 436 Estimated total 1 A A no? lUU.Uvc 78' 1 5 82 1 54 539 8,383 1 ,013 6,919 45 1 Nonmetropolitan counties 824,598 Area actually reporting 97.6% 1,240 32 17 1 15 1 886 1 1 ,543 2.849 7,821 873 Estimated total 1 AA no? lUU.Uvc 1,27 1 33 1 75 155 908 1 1 ,830 2.920 8,015 895 Male lotal ■7 H>/ lift 7,386,330 20,375 413 1,773 6,672 11,517 199,731 28,919 1 O ODD 152,895 17,914 Kate pei iuu,uuu innaDitants Z/J.o J.O oa n Z4.U (in ^ 1 DJ.y Z, /U4.1 t mn n z,u /u.u Z4Z.J W7A CUI^r 1 TA\T Metropolitan Statistical Area 5,366,728 Area actually reporting 99.9% 19,625 167 2,461 5,518 11,479 261,672 51,146 171,859 38,667 Estimated total 100.0% 19,643 167 2,464 5,523 11,489 261,989 51,198 172,079 38,712 Cities outside metropolitan areas 323,537 Area actually reporting y j . / /c Q 1 1 J _ J j 1 J\) 17,777 1 07 1 J,Zj1 l J, J ID 97 1 Estimated total i aa no? 1UU.U vc 879 3 225 1 36 5 1 5 1 8,570 3,375 14, 181 1,014 Nonmetropolitan counties A A\ 1 OA 44 1 , 1 oU Area actually reporting 88.2% 664 1 2 1 54 52 446 9,683 3,257 5,639 787 Estimated total i a a no? lUU.Uvc 754 1 4 1 75 5'-' 5 U6 10,985 3,695 6,397 893 State Total 6,131,445 21,276 184 2,864 5,718 12,510 291,544 58,268 192,657 40,619 D ni-n nn>i 1 A A AAA i<-,l-,,sKli,,<-hi- Kate per iuu,uuu innaDitants 347.0 3.0 46.7 93.3 2( )4.0 4,754.9 950.3 3,142. 1 662.5 WliSl VlKCxlJNlA Metropolitan Statistical Area 989,502 Area actually reporting 91.7% 2,866 29 182 563 2,092 26,729 6,141 18,295 2,293 Estimated total 100.0% 3,041 30 187 586 2,238 28,672 6,488 19,768 2,416 Cities outside metropolitan areas 226,821 Area actually reporting 82.3% 473 3 32 58 380 4,198 830 3,167 201 Estimated total 100.0% 575 4 39 70 462 5,100 1,008 3,848 244 Nonmetropolitan counties 594,031 Area actually reporting 86.1% 900 25 60 64 751 7,702 2,310 4,648 744 Estimated total 100.0% 1,045 29 70 74 872 8,942 2,682 5,396 864 State Total 1,810,354 4,661 63 296 730 3,572 42,714 10,178 29,012 3,524 Rate per 100,000 inhabitants 257.5 3.5 16.4 40.3 197.3 2,359.4 562.2 1,602.6 194.7 See footnotes at end of table. OFFENSES REPORTED 91 Table 5 Crime in the United States by State, 2003 — Continued Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft WISCONSIN Metropolitan Statistical Area 3,955,013 Area actually reporting 97.2% 10,340 159 937 4,248 4,996 124,460 19,927 93,776 10,757 Estimated total 100.0% 10,432 160 952 4,266 5,054 126,387 20,270 95,261 10,856 Cities outside metropolitan areas 610,884 Area actually reporting 99.0% 9S0 4 144 86 746 19,669 2,523 16,437 709 Li^tiiiiiii^il t ( 'i Li 1 1 00 0% 4 145 87 753 19,862 2,548 16,598 716 Nonmetropolitan counties 906,402 Area actually reporting 100.0% 674 17 101 33 523 1 1 ,498 3,744 7,006 748 State Total 5,472,299 12,095 181 1,198 4,386 6,330 157,747 26,562 118,865 12,320 Rate per 100,000 inhabitants 221.0 3.3 21.9 80.1 1 15.7 2,882.6 485.4 2,172.1 225.1 WYOMING Metropolitan Statistical Area 150,994 Area actually reporting 100.0% 338 6 51 46 235 6,529 1,052 5,106 371 Cities outside metropolitan areas 208,513 Area actually reporting 97.5% 612 4 59 29 520 7,666 1,039 6,319 308 Estimated total 100.0% 627 4 60 30 533 7,859 1,065 6,478 316 Nonmetropolitan counties 141,735 Area actually reporting 95.8% 335 4 24 8 299 2,164 473 1,585 106 Estimated total 100.0% 349 4 25 8 312 2,260 494 1,655 111 State Total 501,242 1,314 14 136 84 1,080 16,648 2,611 13,239 798 Rate per 100,000 inhabitants 262.1 2.8 27.1 16.8 215.5 3,321.3 520.9 2,641.2 159.2 1 Includes offenses reported by the Zoological Police and the Metro Transit Police. 2 Limited data for 2003 were available for Illinois and Kentucky. See Offense Estimation, Appendix I, for details. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. 92 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Abilene TX M.S.A. 161,159 (Includes Callahan Jones mid Taylor Counties.) City of Abilene 117,016 517 6 71 129 3 1 1 6,107 1,814 3,991 302 Total area actually reporting 100.0% 599 7 77 137 378 6.790 2,083 4,360 347 Rate per 100,000 inhabitants 371.7 4.3 47.8 85.0 234.6 4,213.2 1,292.5 2,705.4 215.3 Akron OH M.S.A. 701 158 (Includes Portage and Summit Counties ) City of Akron 214,622 1,288 16 206 623 443 12,172 3,177 7,779 1,216 Total area actually reporting 83.0% 1,778 19 321 778 660 22,655 4,868 16,030 1,757 Estimated total 100.0% 1,921 20 350 827 724 25,429 5,479 17,992 1,958 274.0 2 9 49.9 117 9 103.3 3.626.7 781.4 2,566.0 279.3 Albany, GA M.S.A. 162,243 (Includes B aker Dougherty Lee Terrel 1 and ^Vorth Counties ) City of Albany 77,434 537 37 261 233 4.648 1,280 2,967 401 Total area actually reporting 99.5% 706 7 50 292 357 6,414 1,727 4,188 499 Estimated total 100.0% 71 1 7 50 294 360 6,462 1,735 4,223 504 Rate per 100,000 inhabitants 438.2 4.3 30.8 181.2 221.9 3.982.9 1,069.4 2,602.9 310.6 Albuquerque, NM M.S.A. 761,936 (Includes Beinahllo, Sandoval, Torrance, and Valencia Counties ) City of Albucjuercjue 468,764 4,439 5 1 263 1,080 3,045 29,294 5,543 19,663 4,088 Total area actually reportinu 93.2% 5,950 61 363 1,231 4,295 36,124 7,308 23,905 4,91 1 Estimated total 100.0% 6,212 62 385 1,256 4,509 37,354 7,655 24,664 5,035 Rate per 100,000 inhabitants 815.3 8.1 50.5 164.8 591.8 4,902.5 1,004.7 3,237.0 660.8 Alexandria LA M.S.A. 146 057 (Includes Grant and Rapides Panshes.) City of Alexandria 45,996 970 8 13 194 755 4,491 1,275 3,013 203 Total area actually reportinu 94.0% 1,347 10 29 216 1,092 7,395 2,217 4,784 394 Estimated total 100.0% 1,401 10 32 227 1,132 7 910 2,303 5,183 424 Rate per 100,000 inhabitants 959.2 6.8 21.9 155.4 775.0 5.415.7 1,576.8 3,548.6 290.3 Allentown-Bethlehem-Easton PA-NJ M.S.A. 760,286 (Includes Warren County NJ and Carbon Lehigh, and Northampton Counties, PA.) City of: Allen town PA 106,366 641 j 2 5 1 359 219 5,654 1,111 3,851 692 Bethlehem PA 71,926 190 1 20 94 75 1,965 337 1,460 168 Total area actually reporting 88.5% 1,701 16 166 617 902 17.434 2,951 13,093 1 ,390 Estimated total 1 00 0% 1,899 IS 180 668 1 ,033 19.296 3,219 14,550 1,527 Rate per 100,000 inhabitants 249.8 2 4 23.7 87.9 135.9 2,538.0 423.4 1,913.8 200.8 Altoona, PA M.S.A. 128,155 (Includes Blair County ) City of Altoona 48,609 156 1 24 68 63 1,420 357 983 80 Total area actually report inn 86.5% 241 2 34 93 1 12 2,421 583 1,706 132 Estimated total 100.0% 2S0 2 37 103 138 2.788 636 1,993 159 Rate per 1 00,000 inhabitants 218.5 1.6 28.9 80.4 107.7 2,175.5 496.3 1,555.1 124.1 Amarillo TX M.S.A. 235 243 (Includes Armstrong Carson, Potter, and Randall Counties.) City of Amarillo 179,762 1,501 17 97 378 1,009 1 1,604 2,203 8,501 900 Total area actually reporting 100.0% 1,612 j 7 1 13 389 1 ,093 12,613 2,464 9,176 973 Rate per 100,000 inhabitants 685.2 7.2 48.0 165.4 464.6 5,361.7 1,047.4 3,900.6 413.6 Ames, IA M.S.A. 80,850 (Includes Story County.) City of Ames 51,040 279 0 25 7 247 1,738 215 1,437 86 Total area actually reporting 100.0% 328 0 30 7 291 2,508 368 2,017 123 Rate per 100,000 inhabitants 405.7 0.0 37.1 8.7 359.9 3,102.0 455.2 2,494.7 152.1 Anchorage, AK M.S.A. 282,940 (Includes Anchorage Municipality and Matanuska-Susitna Borough.) City of Anchorage 271,085 1,744 17 244 340 1,143 11,706 1,418 9,091 1.197 Total area actually reporting 100.0% 1,921 17 249 347 1,308 12,869 1,508 10,086 1,275 Rate per 100,000 inhabitants 678.9 6.0 88.0 122.6 462.3 4,548.3 533.0 3,564.7 450.6 See footnotes at end of table. OFFENSES REPORTED 93 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Violent Metropolitan Statistical Area Population Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft 172 238 (Includes Anderson County.) City of Anderson 25 940 210 2 Total area actually reporting 1 AA (\V7n 1UU.U 10 1 168 Q D r ,t,-. „„„ 1 AA AAA InU^UIfnnt,. Kate per 1UU,UUU lnnabitants 678. 1 5.2 Ann Arnor, ivn ivi.s.a. 335,334 (Includes Washtenaw County.) City of Ann Arbor 1 1 1 5,552 327 1 Total area actually reporting 1 A A APS. 1 ,007 o o R'iti=» npr 1 OA AHA inli^Kit'inl-t' Kate per i uu,uuu lnnaDirants "*AA ^ 2 4 Aiinistoii-wxiora, al ivi.&.a. 111,970 (Includes Calhoun County.) City of: Anniston 23,868 _ 502 2 Ovfnrrl vjxiora 12 841 1 AS 1 UJ 1 Total area actually reporting 1 A A APS. I Zo A 4 Kate per iuu,uuu innaDirancs 650 2 3 6 Appieton, wi ivi.r».A. ma Tftc ZMy , / UD (Includes Calumet and Outagamie Counties.) City of A.ppleton 71 037 1 39 o Total area actually reporting 100.0% 194 2 Rate per 100,000 inhabitants 92.5 1.0 Asheville, NC M.S.A. 382,525 (Includes Buncombe, Haywood, Henderson, and Madison Counties.) City of Asheville 69,917 456 8 Total area actually reporting 99.7% 1,111 12 Estimated total 100.0% 1,116 12 Rate per 100,000 inhabitants 291.7 3.1 Athens-Clarke County, GA M.S.A. 173,523 (Includes Clarke, Madison, Oconee, and Oglethorpe Counties.) City of Athens-Clarke County 104,313 387 9 Total area actually reporting 99.7% 528 11 Estimated total 100.0% 531 11 Rate per 100,000 inhabitants 306.0 6.3 Atlanta-Sandy Springs-Marietta, GA M.S.A. 1 4,595,081 (Includes Barrow, Bartow, Butts, Carroll, Cherokee, Clayton, Cobb, Coweta, Dawson, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Haralson, Heard, Henry, Jasper, Lamar, Meriwether, Newton, Paulding, Pickens, Pike, Rockdale, Spalding, and Walton Counties.) City of: Atlanta 431,043 8,491 149 Marietta 62,921 324 5 Total area actually reporting 96.1% 22,938 389 Estimated total 100.0% 23,551 399 Rate per 100,000 inhabitants 512.5 8.7 Atlantic City, NJ M.S.A. 260,875 (Includes Atlantic County.) City of Atlantic City 40,397 600 5 Total area actually reporting 100.0% 1,254 17 Rate per 100,000 inhabitants 480.7 6.5 Auburn-Opelika, AL M.S.A. 118,498 (Includes Lee County.) City of: Auburn 45,533 146 1 Opelika 23,671 370 5 Total area actually reporting 100.0% 616 7 Rate per 100,000 inhabitants 519.8 5.9 8 60 140 1,592 273 1,211 108 62 167 930 8,257 2,093 5,519 645 36.0 97.0 540.0 4,793.9 1,215.2 3,204.3 374.5 24 9 l l 203 3,405 77 1 2.409 225 1 43 230 626 10,972 2.243 7,661 1 .068 42.6 68.6 186.7 3,272.0 668.9 2,284.6 318.5 28 155 3 1 7 3,164 937 2,01 1 2 1 6 3 28 73 1,120 193 850 77 47 214 463 6,131 1,607 4,148 376 42.0 191.1 413.5 5,475.6 1,435.2 3,704.6 335.8 17 21 101 1,737 247 1,417 73 30 33 129 4,093 516 3,415 162 14.3 15.7 61.5 1,951.8 246.1 1,628.5 77.3 26 221 201 5,003 960 3,541 502 7S 3 1 8 703 1 1 ,912 2.975 7.925 1,012 78 321) 706 1 1,984 2,991 7,977 1,016 20.4 83.7 1 84.6 3,132.9 781.9 2,085.4 265.6 52 139 187 6,084 1,076 4,612 396 60 156 30 1 8,098 1 ,444 6, 1 18 536 60 157 303 8, 127 1 ,449 6, 1 39 539 34.6 90.5 174.6 4,683.5 835.0 3,537.9 310.6 281 3,701 4,360 38,231 8,065 22,931 7,235 15 156 148 2,754 568 1,852 334 1,171 9,685 11,693 191,624 41,004 121,041 29,579 1,212 9,913 12,027 198,505 42,456 125,592 30,457 26.4 215.7 261.7 4,319.9 923.9 2,733.2 662.8 23 276 296 4,854 596 4,094 164 63 483 691 11,081 1,888 8,699 494 24.1 185.1 264.9 4,247.6 723.7 3,334.5 189.4 22 50 73 1,972 546 1,347 79 18 59 288 1,475 311 1,153 11 53 127 429 5,051 1,299 3,553 199 44.7 107.2 362.0 4,262.5 1,096.2 2,998.4 167.9 See footnotes at end of table. 94 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Violent crime Property crime Murder and non- negligent Motor Violent Forcible Agg f*£i vated P ro pcrtx Larcen y- \ 'eh ic le Metropolitan Statistical Area Population crime slaughter rape Robbery assault crime Burglary theft theft Augusta-Richmond County, GA-SC M.S.A. 513,730 (Includes Burke, Columbia, McDuffie, and Richmond Counties, GA and Aiken and Edgefield Counties, SC.) Total area actually reporting 99.5% 1,988 46 262 618 1,062 20,776 4,326 14,644 1,806 Estimated total 100.0% 2,002 46 263 622 1,071 20,919 4,349 14,750 1,820 Rate per 100,000 inhabitants 389.7 9.0 51.2 121.1 208.5 4,072.0 846.6 2,871.2 354.3 Bakersfield, CA M.S.A. 1 701,341 (Includes Kern County.) City of Bakersfield 1 263,707 1,514 24 41 439 1,010 14,102 2,693 9,415 1,994 Total area actually reporting 100.0% 3,742 46 203 784 2,709 29,383 7,189 17,743 4,451 Rate per 100,000 inhabitants 533.5 6,6 28.9 111.8 386.3 4,189.5 1,025.0 2,529.9 634.6 Baltimore-Towson, MD M.S.A. 2,626,193 (Includes Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne's Counties and Baltimore City.) City of Baltimore 644,554 11,183 270 204 4,339 6,370 37,470 7,789 22,824 6,857 Total area actually reporting 100.0% 23,190 341 652 7,255 14,942 100,269 19,339 67,926 13,004 Rate per 100,000 inhabitants 883.0 13.0 24.8 276.3 569.0 3,818.0 736.4 2,586.5 495.2 Bangor, ME M.S.A. 147,286 (Includes Penobscot County.) City of Bangor 31,815 43 2 4 19 18 1,746 209 1,495 42 Total area actually reporting 100.0% 108 3 15 29 61 4,443 845 3,445 153 Rate per 100,000 inhabitants 73.3 2.0 10.2 19.7 41.4 3,016.6 573.7 2,339.0 103.9 Barnstable Town, MA M.S.A. 228,777 (Includes Barnstable County.) City of Barnstable 48,898 332 1 41 27 263 1,148 391 665 92 Total area actually reporting 97.5% 1,128 2 93 57 976 5,247 1,654 3,317 276 Estimated total 100.0% 1,146 2 94 60 990 5,364 1,680 3,393 291 Rate per 100,000 inhabitants 500.9 0,9 41.1 26.2 432.7 2,344.6 734.3 1,483.1 127.2 Baton Rouge, LA M.S.A. 719,006 (Includes Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe Coupee, St. Helena, West Baton Rouge, and West Feliciana Parishes.) City of Baton Rouge 226,391 2,839 41 117 1,039 1,642 15,897 3,887 10,403 1,607 Total area actually reporting 96.2% 5,122 60 248 1,382 3,432 36,542 7,944 25,818 2,780 Estimated total 100.0% 5,260 61 256 1,409 3,534 37,788 8,183 26,738 2,867 Rate per 100,000 inhabitants 731.6 8.5 35.6 196.0 491.5 5,255.6 1,138.1 3,718.7 398.7 Battle Creek, MI M.S.A. 138,782 (Includes Calhoun County.) City of Battle Creek 53,808 691 2 69 122 498 3,766 791 2,745 230 Total area actually reporting 100.0% 1,052 3 146 169 734 6,898 1,550 4,883 465 Rate per 100,000 inhabitants 758.0 2.2 105.2 121.8 528.9 4,970.4 1,116.9 3,518.5 335.1 Bay City, MI M.S.A. 109,994 (Includes Bay County.) City of Bay City 35,949 192 2 21 43 126 1,258 321 831 106 Total area actually reporting 100.0% 316 3 67 61 185 3,151 759 2,166 226 Rate per 100,000 inhabitants 287.3 2.7 60.9 55.5 168.2 2,864.7 690.0 1,969.2 205.5 Beaumont-Port Arthur, TX M.S.A. 388,186 (Includes Hardin, Jefferson, and Orange Counties.) City of: Beaumont 114,626 1,051 6 85 331 629 8,829 1,726 6,613 490 Port Arthur 57,769 437 9 20 175 233 2,793 1,055 1,445 293 Total area actually reporting 100.0% 2,119 23 158 625 1,313 18,764 4,655 12,786 1,323 Rate per 100,000 inhabitants 545.9 5.9 40.7 161.0 338.2 4,833.8 1,199.2 3,293.8 340.8 Bellingham, WA M.S.A. 176,156 (Includes Whatcom County.) City of Bellingham 71,205 181 1 30 60 90 5,138 790 4,080 268 Total area actually reporting 100.0% 423 3 108 83 229 8,695 1,951 6,238 506 Rate per 100,000 inhabitants 240.1 1.7 61.3 47.1 130.0 4,936.0 1,107.5 3,541.2 287.2 Bend, OR M.S.A. 126,613 (Includes Deschutes County.) City of Bend 57,626 161 0 16 33 1 12 3,468 597 2,636 235 Total area actually reporting 100.0% 203 0 27 42 134 5,434 1,041 3,993 400 Rate per 100,000 inhabitants 160.3 ().() 21.3 33.2 105.8 4,291.8 822.2 3,153.7 315.9 See footnotes at end of table. OFFENSES REPORTED 95 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Violent Metropolitan Statistical Area Population Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft Billings, MT M.S.A. 142,566 (Includes Carbon and Yellowstone Counties. ) City of Billings 92,834 230 3 Total area actually reporting 100.0% 333 3 Rate per 100,000 inhabitants 233.6 2.1 Binghamton, NY M.S.A. 252,525 (Includes Broome and Tioga Counties.) City of Binghamton 46,815 182 3 Total area actually reporting 100.0% 427 4 Rate per 100,000 inhabitants 169.1 1.6 Birmingham-Hoover, AL M.S.A. 1,071,569 (Includes Bibb, Blount, Chilton, Jefferson, St. Clair, Shelby, and Walker Counties.) City of: Birmingham 240,176 3,347 85 Hoover 64,469 242 0 Total area actually reporting 92.4% 5,686 109 Estimated total 100.0% 5,997 1 12 Rate per 100,000 inhabitants 559.6 10.5 Bismarck, ND M.S.A. 96,307 (Includes Burleigh and Morton Counties.) City of Bismarck 56,210 26 2 Total area actually reporting 100.0% 63 3 Rate per 100,000 inhabitants 65.4 3.1 Blooinington, IN M.S.A. 177,976 (Includes Greene, Monroe, and Owen Counties.) City of Bloomington 70,403 69 0 Total area actually reporting 82.6% 225 5 Estimated total 100.0% 285 5 Rate per 100,000 inhabitants 160.1 2.8 Boise City-Nampa, ID M.S.A. 507,451 (Includes Ada, Boise, Canyon, Gem, and Owyhee Counties.) City of: Boise 193,414 632 3 Nampa 61,391 245 3 Total area actually reporting 98.6% 1,446 13 Estimated total 100.0% 1,458 13 Rate per 100,000 inhabitants 287.3 2.6 Boston-Cambridge-Quincy, MA-NH M.S.A. 4,453,436 (Includes the Metropolitan Divisions of Boston-Quincy, MA, Cambridge-Newton- Framingham, MA, and Essex County, MA and Rockingham County -Strafford County, NH.) City of: Boston, MA 589,795 7,173 39 Cambridge, MA 101,896 513 3 Quincy, MA 89,265 316 1 Newton, MA 83,953 99 0 Framingham, MA 66,885 173 1 Waltham, MA 59,125 100 2 Total area actually reporting 96.4% 19,463 84 Estimated total 100.0% 19,853 86 Rate per 100,000 inhabitants 445.8 1.9 Boston-Quincy, MA M.D. 1,833,760 (Includes Norfolk, Plymouth, and Suffolk Counties.) Total area actually reporting 95.6% 12,411 58 Estimated total 100.0% 12,680 59 Rate per 100,000 inhabitants 691.5 3.2 Cambridge-Newton-Framingham, MA M.D. 1,475,450 (Includes Middlesex County.) Total area actually reporting 99.8% 3,718 11 Estimated total 100.0% 3,728 11 Rate per 100,000 inhabitants 252.7 0.7 19 66 142 4,959 577 4,048 334 23 73 234 6,160 736 5,005 419 16.1 51.2 164.1 4,320.8 516.3 3,510.7 293.9 10 77 92 1,947 213 1,683 51 55 125 243 6,046 809 5,070 167 21.8 49.5 96.2 2,394.2 320.4 2,007.7 66. 1 204 1,352 1,706 19,574 4,831 11,934 2,809 18 113 111 1,920 310 1,480 130 398 2,097 3,082 42,292 9,939 27,673 4,680 424 2,191 3,270 45,621 10,619 30,085 4,917 39.6 204.5 305.2 4,257.4 991.0 2,807.6 458.9 1 5 18 1,282 122 1,070 90 12 5 43 1,910 213 1,555 142 12.5 5.2 44.6 1,983.2 221.2 1,614.6 147.4 15 27 27 2,485 441 1,930 1 14 28 36 156 4,120 825 3,107 188 33 47 200 4,781 954 3,576 251 18.5 26.4 112.4 2,686.3 536.0 2,009.3 141.0 108 78 443 8,122 1,422 6,223 477 70 18 154 2,544 456 1,830 258 256 137 1,040 17,409 3,286 12,864 1,259 258 137 1,050 17,546 3,322 12,956 1,268 50.8 27.0 206.9 3,457.7 654.6 2,553.2 249.9 262 2,759 4,113 27,876 4,344 17,069 6,463 7 229 274 3,450 651 2,389 410 15 97 203 1,530 334 1,041 155 5 23 71 916 145 739 32 17 36 1 19 1,530 305 1,038 187 11 20 67 815 116 601 98 986 5,460 12,933 103,069 18,733 67,441 16,895 ,031 5,538 13,198 106,193 19,268 69,669 17,256 23.2 124.4 296.4 2,384.5 432.7 1,564.4 387.5 506 3,908 7,939 52,199 8,841 33,483 9,875 521 3,962 8,138 53,842 9,168 34,553 10,121 28.4 216.1 443.8 2,936.2 500.0 1,884.3 551.9 210 922 2,575 27,875 5,688 18,750 3,437 211 924 2,582 27,935 5,700 18,789 3,446 14.3 62.6 175.0 1,893.3 386.3 1,273.4 233.6 See footnotes at end of table. 96 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Violent Metropolitan Statistical Area Population Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft Essex County, MA M.D. 736,249 (Includes Essex County.) Total area, actually reporting 2 888 ] | Estimated total 1 AA AO? 2.899 1 1 R'jti=» nor inn AAA inlrjliil-'inl-i- Kaie pei iuu,uuu lnnaDiianis 393 8 j ^ Rockingham County -Strafford County, M II M li Af\H 077 4U/,y/ / (Includes Rockingham and Strafford Counties.) Total area actually reporting 81 8% 446 4 Estimated total 1 A A AC7 lUU.Uvo 546 5 Kate pei iuu,uuu innaDitants 133.8 1 .2 (Includes Boulder County.) Lny or oouiaei CK ARQ 2 1 4 0 Total area actually reporting 99.5% 848 4 Estimated total 1 AA At? lUU.Uvo 852 4 R 'itp> np>r 1 AA AHA inli'iKit'inff Kate per iuu,uuu lnnaDiranrs 302 2 1 4 t>i enitrion-siivtrQait;, vv/\ ivi.3«/\. ZJo,OU4 (Includes Kitsap County.) City of Bremerton 36 680 4 1 6 Total area actually reporting 1 A A C\OL lUU.Uvo 99 1 Rota nor IDA AAA InU.iUlUn^ Kate per i uu,uuu innaDitants 410. z _.j I-> .-'.A, ..i C(,..,,r..,-,! IV, ...... .11 PT1H t? A di Kigeport-Maniioru-iNorwaiK, ti 1V1.3.A. QOI OCT (Includes Fairfield County.) City of: Bridgeport 1 A 1 A"i A 141 ,U_1U 1 i&z. l,JOJ 1 c oiamroru 120 642 27 [ "i Norwalk 84,683 355 1 D anbury 77 425 1 1 8 oiraiioro JU,jUJ 1 14 2 Total area actually reporting 1 A A APZ. 1UU.U 70 z,4zy 11 R'it(=>ni=>r 1 AA AAA inlrjhit'inl-f Kaie per iuu,uuu lnnaDiranis ^74 8 Z.J Brownsville-Harlingen, TX M.S.A. ICQ t\Z.A. (Includes El Paso and Teller Counties.) City of Colorado Springs J /4,5 15 1,730 1 6 Total area actually reporting 99 . 7 % 2,005 2 1 Estimated total 1 A A APZ. lUU.Uvo 0 Al A Z,U1U 1 1 Kate per iuu,uuu lnnaDiranrs 352 0 3 7 rjnmkln \IA 1V/I C A L OllllllDia, 1V1W 1V1.S.A. 150,337 (Includes Boone and Howard Counties.) City of Columbia 87,470 422 Total area actually reporting 1 AA (\V7n 1UU.U /C 527 Rate per 100,000 inhabitants 350.5 2.0 OIUlIlDld, SL 1V1.B.A. (Includes Calhoun, Fairfield, Kershaw, Lexington, Richland, and Saluda Counties.) City of Columbia 1 1 8,536 1,342 1 5 Total area actually reporting 1 A A ACY luu.Uvo 5,759 40 Kate per iuu,uuu innauiranis 858 7 6 0 Columbus, OA-AL, JV1.5.A. 286,686 (Includes Russell County, AL and Chattahoochee, Harris, Marion, and Muscogee Counties, GA.) City of Columbus, GA 155,1 10 63 / 1 0 1 V Total area actually reporting 91.1% 1 A AO 11 Estimated total 1 AA ACZ. lUU.Uvo 1 AT} 1 ,U / j Rate per 100,000 inhabitants 374.3 8.0 L OlUIIlDUS, IFS 1V1.5.A. /Z,UOl (Includes Bartholomew County.) City of Columbus ~2r\ AAA 74 2 Total area actually reporting 99.6%' 99 3 Estimated total 1 A A IW„ lUU.Uvo 1 0( 1 Kate per iuu,uuu innauiranis 1 JO.O 4 2 L OlUIIlDUS, Ktii 1V1.3.A. l,ooZ,UU5 (Includes Delaware, Fairfield, Franklin, Licking, Madison, Morrow, Pickaway, and LJnion Counties.) City of Columbus 726,151 6,215 109 Total area actually reporting 91.9% 7,526 131 Estimated total 100.0% 7,729 133 Rate per 100,000 inhabitants 465.0 8.0 Corpus Christi, TX M.S.A. 411,414 (Includes Aransas, Nueces, and San Patricio Counties.) City of Corpus Christi 282,850 2,462 21 Total area actually reporting 100.0% 2,801 25 Rate per 100,000 inhabitants 680.8 6.1 Cumberland, MD-WV M.S.A. 102,107 (Includes Allegany County, MD and Mineral County, WV.) City of Cumberland, MD 21,278 164 1 Total area actually reporting 99.3% 320 2 Estimated total 100.0% 321 2 Rate per 100,000 inhabitants 314.4 2.0 28 1 6 1 58 2,021 354 1,552 1 1 3 65 26 29 1 4,085 9 1 9 2,922 244 56.0 22.4 250.7 3,518.7 791.6 2,516.9 210.2 40 1 7 105 2,762 384 2,276 1 02 81 85 443 4,110 971 2,963 176 143 115 693 8,589 1,816 6,431 342 74.5 59.9 361 .0 4,474.5 946. 1 3,350.3 178.2 242 42 1 1,051 18,517 3,360 13,338 1,819 262 448 1,274 22,147 4,151 15,867 2,129 263 449 1 ,277 10 TCI 11,115 4,163 1 5,922 2, 1 38 46.1 78.6 223.7 3,892.3 729.1 2,788.7 374.5 17 84 3 19 3,266 459 2,632 1 75 23 1 03 398 4,919 725 3,930 264 15.3 68.5 264.7 3,272.0 482.2 2,614.1 175.6 58 461 808 8,127 1,395 5,907 825 293 1,224 4,202 32,085 6,316 22,697 3,072 43.7 1 82.5 626.5 4,783.9 941.7 3,384. 1 458.0 22 331 465 12,978 2,204 9,555 1,219 40 379 568 14,672 2,626 10,670 1,376 46 393 6 1 1 15,294 2,806 1 1,056 1,432 16.0 137. 1 213.1 5,334.8 978.8 3,856.5 499.5 10 g 54 1,981 174 1,733 74 1 1 9 76 2,295 206 2,006 83 1 1 9 77 2,307 208 2,015 84 15.3 12.5 106.9 3,201.5 288.6 2,796.2 1 16.6 615 3,332 2,159 56,338 14,650 33,343 8,345 848 3,904 2,643 83,015 20,747 52,149 10,119 SSI 3,974 2,741 86,597 21,440 54,802 10,355 53.0 239.1 164.9 5,210.4 1,290.0 3,297.3 623.0 228 592 1,621 20,101 3,757 15,064 1,280 273 648 1,855 25,585 5,149 18,932 1,504 66.4 157.5 450.9 6,218.8 1,251.5 4,601.7 365.6 15 27 121 1,205 266 896 43 23 43 252 2,751 700 1,930 121 23 43 253 2,770 703 1,945 122 22.5 42.1 247.8 2,712.8 688.5 1,904.9 119.5 See footnotes at end of table. OFFENSES REPORTED 99 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Dallas-Fort Worth-Arlington, TX M.S.A. 5 569,323 (Includes the IVletropohtan Divisions of Dallas-Plano-Irving and Fort Worth-Arlington ) City of: Dallas 1,230,302 16,865 226 60 1 7,963 8,075 97,900 21,927 58,554 17,419 Fort Worth 576,339 3,751 57 243 1,462 1,989 37,529 8,788 25,092 3,649 Arl 1 ng to n 355,385 1,863 9 167 598 1,089 19,921 3,606 14,656 1,659 241,793 709 5 48 134 522 9,453 1,527 7,254 672 Irvine 199 168 873 7 75 5^3 10,007 1 515 7 254 1 238 Carroll ton 1 16,897 238 2 15 77 144 4,039 808 2,742 489 Richardson 98,463 241 1 16 101 123 3,619 698 2,593 328 Denton 91,754 367 3 67 63 234 3,501 673 2,598 230 IVlc Kinney 74,217 161 o 42 36 83 2,017 477 1,408 132 Total area actually reportm ,T 99.9% 32,406 384 1,931 12,401 17,690 283,191 60,557 187,930 34,704 Estimated total 100.0% 32,413 384 1,932 12,403 17,694 283,281 60,575 187,994 34,712 R.. rp npr 1 fin flfin inhdhitnntc IVuLC UCI 1 WW, WWW llllluL)! ttll 11^ 582.0 6 9 34.7 222.7 317.7 5,086.5 1 087 7 3 375 5 623.3 Dallas-Plano-Irving, TX M.D. 3,729,921 (Includes Collin, Dallas, Delta, Denton, Ellis Hunt ICauf man and Rockwall Counties. ) Total area actually reporting 99.9% 24,364 296 1,253 9,894 12,921 194,170 41,624 125,632 26,914 Estimated total 100.0% 24,371 296 1,254 9,896 12,925 194,260 41,642 125,696 26,922 Rate per 100,000 inhabitants 653.4 7.9 33.6 265.3 346.5 5,208.2 1,1 16.4 3,369.9 721.8 Fort Worth-Arlington, TX M.D. 1,839 402 (Includes Johnson Parker Tarrant and Wise Counties.) Total area actually reporting 100.0% 8,042 88 678 2,507 4,769 89,021 18,933 62,298 7,790 Rate per 100,000 inhabitants 437.2 4.8 36.9 136.3 259.3 4,839.7 1,029.3 3,386.9 423.5 Dalton, GA M.S.A. 127,406 (Includes Murray and Whitfield Counties.) City of Dalton 30,329 195 o 4 42 149 1,840 285 1,426 129 Total area actually reporting 98.3% 442 4 16 62 360 5,174 1,130 3,577 467 Estimated total 1 00 (Wn 1 WW . W /V 454 4 17 66 367 5,296 1 150 3 667 479 Rate per 100,000 inhabitants 356.3 3.1 13.3 51.8 288.1 4,156.8 902.6 2,878.2 376.0 Danville, VA M.S.A. 110,733 (Includes Pittsylvania County and Danville Citv i City of Danville 48,202 296 5 20 77 194 2,214 313 1,763 138 Total area actually reporting 100.0% 394 10 36 88 260 2 747 524 2,003 220 Rate per 100,000 inhabitants 355.8 9.0 32.5 79.5 234.8 2,480.7 473.2 1,808.9 198.7 Dayton, OH M.S.A. 847,787 (Includes Greene JVliami Montgomery and Preble Counties ) City of Dayton 162,876 1,654 28 173 95 1 502 13,230 3,814 6,874 2,542 Total area actually reporting 92.5% 2,621 40 421 1,347 8 1 3 33,802 7,594 21,973 4,235 Estimated total 100.0% 2,736 41 437 1,387 871 35,705 7,923 23,431 4,351 Rate per 100,000 inhabitants 322.7 4.8 51.5 163.6 102.7 4,211.6 934.6 2,763.8 513.2 Decatur AL M.S.A. 146 845 (Includes Lawrence and IVlor^an Counties ) City of Decatur 54,1 12 221 4 1 1 1 17 89 3,957 780 3,001 176 Total area actually reporting 98.5% 286 5 15 133 133 5,470 1,232 3,983 255 Estimated total 100.0% 295 5 16 136 138 5,569 1,251 4,056 262 Rate per 100,000 inhabitants 200.9 3.4 10.9 92.6 94.0 3,792.4 851.9 2,762.1 178.4 Deltona-Daytona Beach-Ormond Beach, FL M.S.A. 467,845 (Includes Volusia County.) City of: Daytona Beach 65,788 1,214 5 81 420 708 6,141 1,567 3,651 923 Ormond Beach 37,883 110 1 6 33 70 1,217 428 714 75 Total area actually reporting 100.0% 3,103 18 223 725 2,137 19,336 5,149 12,089 2,098 Rate per 100,000 inhabitants 663.3 3.8 47.7 155.0 456.8 4,133.0 1,100.6 2,584.0 448.4 See footnotes at end of table. 100 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle Metropolitan Statistical Area Population crime slaughter rape Robber}' assault crime Burglary theft theft Denver-Aurora, CO M.S.A. 2,302,921 (Includes Adams, Arapahoe, Broomfield, Clear Creek, Denver, Douglas, Elbert, Gilpin, Jefferson, and Park Counties.) City of: Denver 565,905 3,531 63 304 1,421 1,743 29,064 7,097 14,839 7,128 Aurora 288,830 1,691 18 213 571 889 15,253 2,329 10,272 2,652 Total area actually reporting 93.3% 8,561 1 19 961 2,676 4,805 94,136 17,535 60,331 16,270 Estimated total 100.0% 8,993 123 1,013 2,766 5,091 100,575 18,542 64,986 17,047 Rate per 100,000 inhabitants 390.5 5.3 44.0 120.1 221.1 4,367.3 805.2 2,821.9 740.2 Des Moines, IA M.SA. 498,493 (Includes Dallas, Guthrie, Madison, Polk, and Warren Counties. ) City of Des Moines 198,568 699 8 92 284 315 12,115 1,527 9,692 896 Total area actually reporting 98.0% 1,242 12 143 339 748 19,465 3,002 15,144 1,319 Estimated total 100.0% 1,261 12 145 341 763 19,752 3,051 15,371 1,330 Rate per 100,000 inhabitants 253.0 2.4 29.1 68.4 153.1 3,962.3 612.0 3,083.5 266.8 Detroit-Warren-Livonia, MI M.S.A. 1 4,497,319 (Includes the Metropolitan Divisions of Detroit-Livonia- Dearborn and Warren- Farmington Hills-Troy.) City of: Detroit 927,766 18,724 366 814 5,817 11,727 64,809 14,100 25,353 25,356 Warren 1 138,077 790 3 80 188 519 763 2,301 Livonia 100,636 185 0 13 56 1 16 2,506 389 1,846 271 Dearborn 98,121 1,099 0 13 144 942 5,098 525 3,257 1,316 Farmington Hills 81,666 146 0 18 26 102 1,751 355 1,236 160 Troy 81,150 100 1 11 28 60 2,024 292 1,573 159 Southfield 78,088 1,072 2 34 139 897 4,379 754 2,499 1,126 Pontiac 66,331 912 8 73 156 675 2,356 796 1,151 409 Taylor 66,087 267 2 40 58 167 3,115 466 2,095 554 Total area actually reporting 99.4% 30,165 449 1,973 8,114 19,629 30,685 89,611 Estimated total 100.0% 30,229 449 1,980 8,130 19,670 30,803 90,089 Rate per 100,000 inhabitants 672.2 10.0 44.0 180.8 437.4 684.9 2,003.2 Detroit-Livonia-Dearborn, MI M.D. 1 2,051,552 (Includes Wayne County.) Total area actually reporting 99.0% 23,027 400 1,133 6,805 14,689 102,070 20,346 48,938 32,786 Estimated total 100.0% 23,079 400 1,139 6,818 14,722 102,647 20,442 49,329 32,876 Rate per 100,000 inhabitants 1,125.0 19.5 55.5 332.3 717.6 5,003.4 996.4 2,404.5 1,602.5 Warren-Farmington Hills-Troy, MI M.D. 1 2,445,767 (Includes Lapeer, Livingston, Macomb, Oakland, and St. Clair Counties.) Total area actually reporting 99.8% 7,138 49 840 1,309 4,940 10,339 40,673 Estimated total 100.0% 7,149 49 841 1,312 4,947 10,361 40,760 Rate per 100,000 inhabitants 292.3 2.0 34.4 53.6 202.3 423.6 1,666.6 Dothan, AL M.S.A. 132,022 (Includes Geneva, Henry, and Houston Counties.) City of Dothan 58,433 251 4 38 109 100 2,970 680 2,139 151 Total area actually reporting 95.9% 377 10 50 116 201 4,074 1,007 2,825 242 Estimated total 100.0% 399 10 52 123 214 4,316 1,054 3,003 259 Rate per 100,000 inhabitants 302.2 7.6 39.4 93.2 162.1 3,269.2 798.4 2,274.6 196.2 Dover, DE M.S.A. 132,710 (Includes Kent County.) City of Dover 32,989 239 1 24 47 167 1,917 166 1,647 104 Total area actually reporting 100.0% 983 5 82 111 785 4,563 864 3,435 264 Rate per 100,000 inhabitants 740.7 3.8 61.8 83.6 591.5 3,438.3 651.0 2,588.4 198.9 Dubuque, IA M.S.A. 89,609 (Includes Dubuque County.) City of Dubuque 57,173 235 2 17 15 201 1,814 398 1,319 97 Total area actually reporting 100.0% 272 2 23 15 232 2,089 473 1,485 131 Rate per 100,000 inhabitants 303.5 2.2 25.7 16.7 258.9 2,331.2 527.8 1,657.2 146.2 See footnotes at end of table. OFFENSES REPORTED 101 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Duluth, MN-WI M.S.A. 278,385 (Includes Carlton unci St Louis Counties MN o.nd I3ouglas County WI ) City of Duluth, MN 87,102 290 4 53 83 150 4,794 773 3,640 381 Total area actually reportin* 1 100.0% 604 9 134 107 354 10.066 2,157 7,193 716 Rate per 100,000 inhabitants 217.0 3.2 48. 1 38.4 127.2 3,615.9 774.8 2,583.8 257.2 Durham NC M.S.A. 449 820 (Includes Chatham Durham Orange and Person Counties.) City of Durham 197,965 1,663 22 76 883 682 13,621 3,528 9,027 1 ,066 Total area actually reporting 100.0% 2,462 25 1 16 1,129 1,192 23.752 6,092 16,121 1,539 R'irp npr 1 00 000 inhahir'inti; FA.ULC UCI 1 \J\}*\}\1\J llllluL'l ttll 547.3 5 6 25.8 251.0 265.0 5.280.3 1 354.3 3 583.9 342.1 El Centro, CA M.S.A. 147,782 (Includes Imperial County ) City of El Centro 38,079 325 0 7 52 266 1.675 584 893 198 Total area actually reporting 100.0% 773 12 21 136 604 5,269 1,839 2,587 843 Rate per 100,000 inhabitants 523.1 8.1 14.2 92.0 408.7 3,565.4 1,244.4 1,750.6 570.4 Elkhart-Goshen, IN M.S.A. 187,572 (Includes Elkhart County ) City of: Elkhart 52,090 187 6 25 136 20 4,203 872 3,022 309 Goshen 29,859 124 0 I t) 1 14 1.336 154 1,131 5 i Total area actually reporting 100.0% 387 8 40 166 173 7,783 1,519 5,634 630 RtIp npr 1 00 000 inViMhit'int« lYdlC UCI 1UU,UUU JI11U1U1 till ll;> 206.3 4 3 21.3 88.5 92.2 4 149.3 809.8 3 003.6 335.9 EI Paso, TX M.S.A. 708,407 (Includes El Paso County ) City of El Paso 586,392 3,502 21 219 581 2,681 21,780 2,185 17,735 1,860 Total area actually reporting 100.0% 3,920 21 263 638 2,998 24,786 2,689 19,983 2,114 Rate per 100,000 inhabitants 553.4 3.0 37. 1 90. 1 423.2 3.498.8 379.6 2,820.8 298.4 Erie, PA M.S.A. 281,060 (Includes Erie County ) City of Erie 102,373 447 3 70 191 183 3,134 725 2,284 125 Total area actually lepoiting 98.2% 682 1 16 726 ^34 6.240 1 456 4 499 285 Estimated total 100.0% 694 6 1 17 229 342 6,350 1,472 4,585 293 Rate per 100,000 inhabitants 246.9 2.1 41.6 81.5 121.7 2,259.3 523.7 1,631.3 104.2 Eugene-Springfield, OR M.S.A. 330,199 (Includes Lane County ) City of: Eugene 141,913 478 2 53 176 247 8,904 1,424 6,591 889 Springfield 54,619 158 () 16 41 101 4,274 639 3,038 597 Total area actually reportmu 100.0% 867 5 1 1 1 252 499 16,581 3,064 1 1,657 1,860 Rate per 100,000 inhabitants 262.6 1 .5 33.6 76.3 151.1 5,021.5 927.9 3,530.3 563.3 Fairbanks AK M.S.A. 32,652 (Includes Fairbanks North Star Borough.) City of Fairbanks 31,021 289 4 42 42 201 1,561 271 1,158 132 Total area actually reporting 100.0% 301 4 42 42 213 1.838 290 1,402 146 Rate per 1 00,000 inhabitants 921.8 12.3 128.6 128.6 652.3 5,629.1 888.2 4,293.8 447.1 Fargo, ND-MN M.S.A. 177 421 (Includes Clay County, MN and Cass County, ND.) City of Fargo, ND 91,165 77 () 41 1 1 25 2,283 335 1,759 189 Total area actually reporting 100.0% 1 77 2 62 24 89 4,402 703 3,387 3 1 2 Rate per 100,000 inhabitants 99.8 1.1 34.9 13.5 50.2 2,481.1 396.2 1,909.0 175.9 Farmington, NM M.S.A. 121,636 (Includes San Juan County.) City of Farmington 40,991 434 3 53 24 354 1,493 389 974 130 Total area actually reporting 100.0% 688 4 85 39 560 3,130 746 2,161 223 Rate per 100,000 inhabitants 565.6 3.3 69.9 32.1 460.4 2,573.3 613.3 1,776.6 183.3 Fayetteville, NC M.S.A. 342,912 (Includes Cumberland and Hoke Counties.) City of Fayetteville 125,587 1,230 13 33 492 692 9,652 2,035 6,939 678 Total area actually reporting 100.0% 2,369 23 85 769 1,492 19,062 5,388 12,495 1,179 Rate per 100,000 inhabitants 690.8 6.7 24.8 224.3 435.1 5,558.9 1,571.2 3,643.8 343.8 See footnotes at end of table. 102 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft . ... t ayetteville-Springdale-Rogers, AR-jVIO MSA 1 370 164 (Includes Benton, Madison, and Washington Counties, AR and McDonald County, MO.) City of' Fayetteville, AR £1 AGO 01 ,U5Z 7 s 1 A u if, jn JO 1 70 1 iy 7 yo^ 7Q7 zyz 7 /I A/1 Z,404 1 10 1 jy Springdale, AR s - i 71 y 1 ^ft 1 1 AIO i,ojy 1 is 1 J0 Rogers, AR 41 785 68 o 30 -j 1 1 1 858 192 1 603 63 Bentonville, AR Z4,ZZ0 jo 1 7 ~> ZZ i j 1 1 1 J 7y 7 /ft_ 1 7 1 1 z 1 A1A 0 JU j 1 Total area actually reporting 1 AA APS. IUU.Uyp QO 1 7 1 78 7y to 0_ft 1 A 77< 1U,ZZJ 1 71A 1 , / JU 7,9 10 sy s OftO D .ltd nci- 1 AA AAA InVinKlt.inl-i- Kate per iuu,uuu mnaDitants 7/1A "7 Z4U. / 1 o 1 Q 1 4ft. 1 7 1 1 Z 1 . 1 1 A"Q 7 toy. / 7 7A7 1 Z, / OZ. J /1A"7 /I 40 / .4 7 1 ia 0 z,i jo.y ICO A lOfi.U r laystall, A A ivi.S.A. 1Z J,UJ / (Includes Coconino County.) Lity or ridgstiin a ia 00,4JU 1 A I 4U I 1 1 1 44 4j i 1 1 J 1 1 A f,\ A 4,014 A 1 i 04 J 3,770 7 A 1 JU 1 Total area actually reporting i aa 635 7 74 56 50 i 6 587 1 061 5 230 7 OA. D n 1 A A AAA iwUnUlfnnlr Kate per I UU,UUU lnnauitants 5 16. 1 1 .6 60. 1 45.5 408.8 5,353.7 862.3 4,250.8 240.6 l/IIni A/IT ~\H C A A An Tin 44 Z, /ZU (Includes Genesee County.) City or rlint 1 77 1 7 1 1ZZ,1Z1 l y| 0/1 l,4ft4 1C 1 7 1 1 Z4 11Q J J ft OA ! W4 A 7 1 A 0, / 14 7 AA1 Z,UOJ 1 1^1 J, J0 J 1 7oy i,zyfi Total area actually reporting UO GPS yy.y w 0 /I7 1 Z,4/ 1 in j l iyn _oV j j ft 1 ^87 1 ,Jft / 17, 175 A /17C 4,4ZS 1 n a 1 a 1U,410 7 111 Z,J J 1 Estimated total 1 A A APS. lUU.U/c 7 AT) Z,4/Z j l Zoy j j ft i ^y y 1 ,JOtS 17, 186 /I /1 1A 4,4JU 1 A An A 1U,4Z4 7 117 Z,J JZ Kate per i uu,uuu lnnauiiiinis 558 4 8 4 65 3 1^6 0 358 7 3 881 9 1 000 6 2 354 5 526 7 Florence-Muscle Shoals, AL M.S. A. 1/17 All 1 4Z.4 1 / (Includes Colbert and Lauderdale Counties.) City of; Florence Is" 07 ft J0,yZo 1 A A 1 Do A u i j An 4_ 1 AO i uy 1 AA1 1 ,0U1 1A 1 JU4 1 7/1 1 1,Z41 "sA 00 Muscle Shoals 12 271 43 o t) 30 66 ^ 1 1 2 532 7 1 Total area actually reporting QO 1 PS. yy. 1 7c 5 in JU 7/1 /U 77 1 Z /4 A 11 0 4,Jiy yju 1 1 QO j, iyy 1 70 Estimated total 1 A A APS. lUU.UVo iy t in JU 77 /Z 277 a mi 4, J ID OA( 1 you 1 710 j,zjy 1 7 1 1 / 4 Rate per 100,000 inhabitants 7 AG A zoy.o J.J 7 1 1 Z I . 1 <;a a jU.o iy4.j 1 A7A A" A"7/l 1 O /4. 1 7 77/1 1 Z,Z /4. J 1 77 7 1ZZ.Z riorence, &C ivi.s.a. 1 Q7" ft£7 ±y /,uo/ (Includes Darlington and Florence Counties.) City of Florence 1A 1 1 1 JU,J 1 1 ■! 7y 4 / ft c. 0 7 1 Z 1 1 1 J J 111/. _yo 1 7/1 0 j, /4y A 1 1 0 1 1 7 yQ7 z,oyz 7 1 A Z40 Total area actually reporting 1 AA AOS. IUU.Uyp 0 As"G z,uoy 7 7 ^_ 07 vz ia n i s"oy i ,jys iz, 1 iy 7 oyy _.yfti^ Q 1AO 0, joy 7A7 /0_ D .itei no- 1 AA AAA iTili>iki»anlr< Kate per iuu,uuu lnnauitants 1 A/1/1 Q l,U44.o 1 1 7 1 1 .1 Af, 7 40. / 1 7A" 1 1 /0. 1 y i a o A 1 AQ 7 0, 14y. / 1 *\ 1 A 7 1,0 10. Z /I 7/1 A" 8 4,Z40.0 IfiA 7 JSO. / rOIlQ flll Luy ZVft Total area actually reporting Os" OPS. yo.y k i,jzy 7 A zu i Ay 1 s i 1 j j 1 A/lfi l,U4o 1 A 777 1U,ZZZ 7 1 07 z,iy / 7 ^7 /,00 / 1 Ay 40ft Estimated total 1 AA APS, 1UU.U k 1 354 7Q 1 1 1 1 55 1 068 10 396 7 756 7 658 48^ R •)!-(=» ni=>r 1 AA AAA inliQhit'inl-t' Kate per iuu,uuu innaoiranis 483 8 7 1 10 7 55 4 381 6 3 714 3 806 0 2 736 1 172 2 Fort Walton Beach-Crestview-Destin, FL 1 7ft Q7/1 (Includes Okaloosa County.) city or. Fort Walton Beach 7 A /1AA ZU,400 1 7 7 1 zz A u 1 A 1 0 1 y v!7 11 - 1 I A 1 1 0 ^oy jyft J O Cre s t v lew 15 634 60 o I ^ 47 58 1 1 24 439 1 8 Total area actually reporting 1 A A APS. 1UU.U k /.a; zn JZ i i y 1 1 ft 1 1 A 4JU /i ysA 0 1 < 1 y4u 1 A/IA^ J,040 70 1 zy4 D nta i-.cn- 1 AA AAA InlinUltniitr Kate per i uu,uuu lnnauitants "317 A j j 1 .U 1 .7 10 1 ZV. 1 oj.y 7/1 A 1 Z4U.J 2,727.4 s"7s" A 0Z0.4 2,037.7 1 A/i 1 104. J Fort Wayne, IN M.S.A. 399,002 (Includes Allen, Wells, and Whitley Counties.) City of Fort Wayne 211,317 772 19 118 354 281 11,113 2,188 8,145 780 Total area actually reporting 92.5% 913 19 144 385 365 13,719 2,685 10,048 986 Estimated total 100.0% 971 19 149 396 407 14,343 2,808 10,490 1,045 Rate per 100,000 inhabitants 243.4 4.8 37.3 99.2 102.0 3,594.7 703.8 2,629.1 261.9 Fresno, CA M.S.A. 1 843,389 (Includes Fresno County.) City of Fresno 449,898 3,505 37 164 1,215 2,089 27,196 3,927 17,608 5,661 Total area actually reporting 100.0% 5,055 61 270 1,505 3,219 42,465 7,148 26,932 8,385 Rate per 100,000 inhabitants 599.4 7.2 32.0 178.4 381.7 5,035.0 847.5 3,193.3 994.2 See footnotes at end of table. OFFENSES REPORTED 103 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Gainesville FL M.S.A. 241,311 (Includes Alachua and Gilchrist Counties ) City of Gainesville 96,919 1,004 5 55 197 741 5,049 1,208 3,370 471 Total area actually reporting 100.0% 2,068 7 1 15 308 1,638 10,608 2,662 7,047 899 Rate per 100,000 inhabitants 857.0 2.9 47.7 127.6 678.8 4,396.0 1,103.1 2,920.3 372.5 Gainesville, GA M.S.A. 154,447 (Includes Hall County.) City of Gainesville 28,374 177 1 8 50 1 18 2,069 286 1,660 123 Total area actually reportin* 1 99.9% 417 7 31 79 300 5.353 1,049 3,748 556 Estimated total 100.0% 417 7 31 79 300 5,361 1,050 3,754 557 Rate per 100,000 inhabitants 270.0 4.5 20.1 51.2 194.2 3.471.1 679.8 2,430.6 360.6 Glens Falls NY M.S.A. 125,314 (Includes Warren and ^Vashington Counties ) City of Glens Falls 14,218 35 () 1 28 367 59 299 9 Total area actually reporting 100.0% 319 1 36 18 264 2,335 451 1,832 52 Rate per 100,000 inhabitants 254.6 0.8 28.7 14 4 210.7 1.863.3 359.9 1,461.9 41 .5 Goldsboro, NC M.S.A. 114,136 (Includes Wayne County ) City of Goldsboro 38,881 390 5 9 99 277 2 577 608 1,823 146 Total area actually reportmu 99.8% 585 10 9 148 418 4,910 1,479 3,139 292 Estimated total 100.0% 586 10 9 148 419 4,924 1,482 3,149 293 Rate per 100,000 inhabitants 513.4 8.8 79 129.7 367.1 4,314.2 1,298.5 2,759.0 256.7 Grand Forks, ND-MN M.S.A. 96,253 ( Infill Hf>c Pn1L~ (~"nnnt\/ \/TISJ 'inH ^111L.1LLLLC3 rUlN V^-UlitllV, 1V11N tlllU Grand Forks County, ND.) City of Grand Forks, ND 48,525 68 () 13 9 46 1,989 255 1,618 1 16 Total area actually reporting 98.5% 130 1 26 1 1 92 3,098 466 2,452 180 Estimated total 100.0% 131 1 26 1 1 93 3,148 474 2,491 183 Rate per 100,000 inhabitants 136.1 1.0 27.0 11.4 96.6 3,270.5 492.5 2,588.0 190.1 Grand Junction, CO M.S. A. 122,608 (Includes Ivlesa County ) City of Grand Junction 43,593 233 () 34 17 182 3,236 513 2,561 162 Total area actually reportin* 1 94.2% 324 1 35 32 256 4.694 845 3,571 278 Estimated total 100.0% 345 1 37 37 270 5,010 893 3,801 316 Rate per 100,000 inhabitants 281.4 0.8 30.2 30.2 220.2 4,086.2 728.3 3,100.1 257.7 Grand Rapids- Wyoming, MI M.S.A. 1 760,075 (Includes Barry Ionia Kent and Newaygo Counties } City of: Grand Rapids' 197,173 2,070 1 1 68 533 1,458 9,326 2,048 6,569 709 Wyoming 70,535 331 () 51 70 210 2,189 628 1,347 214 Total area actually reporting 99.5% 3,436 22 396 708 2,310 23,853 5,264 17,124 1,465 Estimated total 100.0% 3,446 22 397 710 2,317 23.973 5,284 17 210 1,479 Rate per 100,000 inhabitants 453.4 2.9 52.2 93.4 304.8 3,154.0 695.2 2,264.3 194.6 Great Falls MT M.S.A. 80 102 (Includes Cascade County ) City of Great Falls 56,549 293 5 13 58 217 4,056 376 3,534 146 Total area actually reporting 100.0% 334 15 59 254 4,525 398 3,955 1 72 Rate per 100,000 inhabitants 417.0 7.5 18.7 73.7 317.1 5,649.0 496.9 4,937.5 214.7 Greeley, CO M.S.A. 207,022 (Includes Weld County.) City of Greeley 82,919 279 2 49 52 176 5,329 689 4,255 385 Total area actually reporting 92.2% 523 3 83 75 362 8.262 1,323 6,204 735 Estimated total 100.0% 570 3 89 85 393 8,979 1,432 6,725 822 Rate per 100,000 inhabitants 275.3 1.4 43.0 41.1 189.8 4,337.2 691.7 3,248.4 397.1 Greensboro-High Point, NC M.S.A. 664,819 (Includes Guilford, Randolph, and Rockingham Counties.) City of: Greensboro 230,606 1,547 36 97 697 717 13,758 3,255 9,455 1,048 High Point 90,275 774 8 34 260 472 5,824 1,563 3,712 549 Total area actually reporting 99.4% 3,071 56 175 1,176 1,664 31,755 7,917 21,556 2,282 Estimated total 100.0% 3,087 56 176 1,181 1,674 31,977 7,966 21,718 2,293 Rate per 100,000 inhabitants 464.3 8.4 26.5 177.6 251.8 4,809.9 1,198.2 3,266.8 344.9 See footnotes at end of table. 104 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Greenville NC M.S.A. 158,296 (Includes Greene and Pitt Counties ) City of Greenville 66,183 596 4 10 253 329 4,662 1,348 3,097 217 Total area actually reporting 100.0% 1,019 6 44 332 637 8,378 2,633 5,353 392 Rate per 100,000 inhabitants 643.7 3.8 27.8 209.7 402.4 5,292.6 1,663.3 3,381.6 247.6 Greenville SC M.S.A. 580 535 {Includes Greenville Laurens and Pickens Counties ) City of Greenville 56,728 571 2 33 106 430 4,264 78 1 3,192 291 Total area actually reporting 100.0% 3,520 35 213 500 2,772 21,373 5,319 14,502 1,552 Rate per 100,000 inhabitants 606.3 6.0 36.7 86.1 477.5 3,681.6 916.2 2,498.0 267.3 Hanford- Corcoran, CA M.S.A. 136,460 {Includes Kings County ) City of: Hanford 44,815 162 I 15 38 108 1,614 25 1 1 172 191 C o r c oran 21,149 31 0 2 9 2() 273 94 164 15 Total area actually reportm*-* 100.0% 434 5 35 83 3 i i 3,483 725 2,239 519 Rate per 100,000 inhabitants 318.0 37 25.6 60.8 227.9 2,552.4 531.3 1,640.8 380.3 Harrisburg- Carlisle, PA M.S.A. 515,819 {Includes Cumberland, Dauphin, and Perry Counties.) City of: H arri sburg 48,659 687 29 375 277 2,395 543 1,698 154 Carl i sle 18,080 53 0 13 2S 12 500 58 423 19 Total area actually reporting 93.1% 1,432 13 138 587 694 10,878 2,077 8,228 573 Estimated total 100.0% 1,513 14 144 608 747 11,629 2,185 8,816 628 Rate per 100,000 inhabitants 293.3 2.7 27.9 117.9 144.8 2,254.5 423.6 1,709.1 121.7 Harrisonburg, VA M.S.A. 110,950 {Includes Rockingham County and Harrisonburg City ) City of Harri sonbui -tT 41,429 106 0 13 23 70 1 179 183 927 69 Total area actually reporting 100.0% 160 () 33 25 102 1,879 348 1,412 1 19 Rate per 100,000 inhabitants 144.2 0.0 29.7 22.5 91.9 1,693.6 313.7 1,272.6 107.3 Hinp«villp-Fnrt Sfpwnrt i - A MSA 73 563 {Includes Liberty and Long Counties ) City of: Hinesville 30,985 168 4 0 63 92 1,846 302 1,471 73 Total area actually reporting 96.4% 254 4 14 85 151 2,664 522 2,028 1 14 Estimated total 100.0% 269 4 15 90 160 2,812 546 2,137 129 Rate per 100,000 inhabitants 365.7 5.4 20.4 122.3 217.5 3,822.6 742.2 2,905.0 175.4 Holland-Grand Haven MI M.S.A. 246 636 {Includes Ottawa County.) City of: Holland 27,438 91 0 21 4 66 916 134 750 32 Grand Haven 10,962 36 () 15 2 19 433 76 332 25 Total area actually reporting 97.1% 447 1 164 20 262 4,778 925 3,602 251 Estimated total 100.0% 466 1 166 24 275 4,999 962 3,760 277 rvtltc pel 1 1111 lilul till 11^ 188.9 0.4 67.3 9.7 1 1 1.5 2 026.9 390.0 1 524.5 1 12.3 Honolulu, HI M.S.A. 905,301 (Includes Honolulu County.) City of Honolulu 905,301 2,606 15 266 989 1,336 48,306 7,967 32,086 8,253 Total area actually reporting 100.0% 2,606 15 266 989 1,336 48,306 7,967 32,086 8,253 Rate per 100,000 inhabitants 287.9 1.7 29.4 109.2 147.6 5,335.9 880.0 3,544.2 911.6 Houma-Bayou Cane-Thibodaux, LA M.S.A. 197,462 (Includes Lafourche and Terrebonne Parishes.) City of: Houma 32,228 356 2 25 61 268 1,764 280 1,382 102 Thibodaux 14,558 93 0 8 13 72 636 150 471 15 Total area actually reporting 98.7% 968 7 87 144 730 7,790 1,677 5,679 434 Estimated total 100.0% 984 7 88 147 742 7,945 1,703 5,799 443 Rate per 100,000 inhabitants 498.3 3.5 44.6 74.4 375.8 4,023.6 862.4 2,936.8 224.3 See footnotes at end of table. OFFENSES REPORTED 105 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Violent crime Properly crime Metropolitan Statistical Area Population Houston-Baytown-Sugar Land, TX M.S.A. 5,063,922 (Includes Austin, Brazoria, Chambers, Fort Bend, Galveston, Harris, Liberty, Montgomery, San Jacinto, and Waller Counties. ) City of: Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Motor Larceny- vehicle theft theft Houston 0 A/1 1 AS 1 Z,U41 ,Uol 01 oca 1 1 ft 7 Aft /Do 1 n ofts iu,yoo I 1 QS7 I I ,V j 1 1 OA AAS 1ZU,UU3 OA ^00 ZO,JZZ 70 nio 01 A. 1 a s 7 4j. / A1 7 4Z. / IAS A JU J.U 0 a«;o G /IOC 7 O A/17 1 Z,U4 / . J 1 AA ft Jackson, MI M.S.A. 161,445 (Includes Jackson County.) City of Jackson 1 Z Al Q D 3,01 O 1 OA 1 VO _ 3 jy DJ so 2,077 7A ^ 1 <;7i 1,3 fj 1 1 1 1 4 1 Total area actually reporting 1 A A AC7 1UU.U 70 532 1 0 102 93 327 4,925 1 ,026 3,564 335 Kate per 1UU,UUU innaDitants 329.5 6.2 63.2 57.6 202.5 3,050.6 635.5 2,207.6 207.5 Jackson MS M.S.A. 507 181 (Includes Copiah, Hinds, Madison, Rankin, and Simpson Counties.) City of Jackson 181,479 1,648 45 179 962 462 15,496 4,369 8,323 2,804 Total area actually reporting 79.7% 1,987 58 230 1,044 655 20,997 5,900 11,834 3,263 Estimated total 100.0% 2,247 63 262 1,127 795 24,864 6,792 14,491 3,581 Rate per 100,000 inhabitants 443.0 12.4 51.7 222.2 156.7 4,902.4 1,339.2 2,857.2 706.1 Jackson, TN M.S.A. 110,128 (Includes Chester and Madison Counties.) City of Jackson 61,100 691 2 35 198 456 4,329 980 2,964 385 Total area actually reporting 100.0% 863 2 56 212 593 5,573 1,358 3,724 491 Rate per 100,000 inhabitants 783.6 1.8 50.8 192.5 538.5 5,060.5 1,233.1 3,381.5 445.8 Jacksonville, FL M.S.A. 1,199,156 (Includes Baker, Clay, Duval, Nassau, and St. Johns Counties.) City of Jacksonville 776,417 6,729 92 213 2,344 4,080 43,791 8,910 30,043 4,838 Total area actually reporting 100.0% 9,051 107 290 2,602 6,052 54,724 11,334 37,737 5,653 Rate per 100,000 inhabitants 754.8 8.9 24.2 217.0 504.7 4,563.5 945.2 3,147.0 471.4 Janes ville, WI M.S.A. 154,973 (Includes Rock County.) City of Janesville 61,269 148 0 20 38 90 3,251 566 2,583 102 Total area actually reporting 100.0% 350 3 42 99 206 6,058 1,132 4,662 264 Rate per 100,000 inhabitants 225.8 1.9 27.1 63.9 132.9 3,909.1 730.4 3,008.3 170.4 See footnotes at end of table. 106 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Jefferson City, MO M.S.A. 142,965 ( Includes Callaway Cole JVIoniteau and Osage Counties.) City of Jefferson City 39,299 276 3 27 2 1 225 1,326 190 1,064 72 Total area actually reportin* 1 100.0% 444 5 43 43 353 2.937 621 2,147 169 Rate per 100,000 inhabitants 310.6 3.5 30.1 30.1 246.9 2,054.3 434.4 1,501.8 118.2 Johnson City, TN M.S.A. 184 912 (Includes Carter, Unicoi, and Washington Counties ) City of Johnson City 57,202 395 I 1 1 86 297 3,81 1 546 3,033 232 Total area actually reporting 100.0% 737 4 28 109 596 7,134 1,449 5,172 513 Rate per 100,000 inhabitants 398.6 2.2 15. 1 58.9 322.3 3.858.1 783.6 2,797.0 271 A Jonesboro AR M.S.A. 110 107 ( Includes CrLU (i heud and Pomsell Counties ) City of Jonesboro 57,216 332 4 12 107 209 3,377 875 2,359 143 Total area actually reporting 1 00 0% 423 4 18 122 279 4.572 1,497 2,882 193 Rate per 100,000 inhabitants 384.2 3.6 16.3 1 10.8 253.4 4,152.3 1,359.6 2,617.5 175.3 Joplin, MO M.S.A. 161,104 (Includes Jasper and Newton Counties ) City of Joplm 46,447 19 1 5 29 48 109 3,679 641 2,803 235 Total area actually reporting 100.0% 518 9 64 67 378 6,725 1,334 4,939 452 Rate per 100,000 inhabitants 321.5 5.6 39.7 41.6 234.6 4,174.3 828.0 3,065.7 280.6 Kennewick-Richliind -Pasco WA M^.S.A. 205,201 (Includes Benton and Franklin Counties.) City of: Kennewick 58,545 208 3 23 32 150 2,731 495 2,090 146 Richland 41,923 82 0 14 9 59 1,242 242 947 53 35,784 105 o 20 20 65 1,513 237 1,160 1 16 Total area actually reporting 100.0% 518 5 68 67 378 6,830 1,382 5,053 395 Rate per 100,000 inhabitants 252.4 2.4 33. 1 32.7 184.2 3,328.4 673.5 2,462.5 192.5 Killeen-Temple-Fort Hood, TX M.S.A. 343 264 (Includes Bell, Coryell, and Lampasas Counties.) City of: Killeen 94,148 788 76 186 520 5,585 1,812 3,502 271 Temple 55,293 1 70 1 48 1 16 2,725 677 1,862 186 Total area actually reportinu 100.0% 1,376 17 149 287 923 12,662 3,697 8,271 694 R.|tP npr 1 00 000 inrinhir'int« IVtlLC UCI L\j\J^\J\j\J Jill luUl till 1 1 j*j 400.9 5 0 43.4 83.6 268.9 3 688.7 1 077 0 2 409.5 202.2 Kingsport-Bristol-Bristol, TN-VA M.S.A. 302,188 (Includes Hawkins and Sullivan Counties, TN and Scott and Washington Counties and Bristol City, VA.) City of: Kin tr sport TN 44,702 387 2 40 63 2S2 3,015 477 2,377 161 Bristol TN 25,080 109 1 1 1 14 S3 1,285 206 1,006 73 Bristol VA 17,336 89 o 4 4 81 654 84 547 23 Total area actually reportmu 99.3% 1,177 1 3 121 1 13 930 9,979 2,130 7,219 630 Estimated total 100.0% 1 187 13 122 1 16 936 10,059 2,141 7,281 637 Rate per 100,000 inhabitants 392.8 4.3 40.4 38.4 309.7 3.328.7 708.5 2,409.4 210.8 Kingston, NY M.S.A. 180,292 (Includes Ulster County.) City of Kingston 23,387 118 1 7 62 48 1,124 176 873 75 Total area actually reporting 91.8% 569 5 36 106 422 3,348 649 2,491 208 Estimated total 100.0% 596 5 37 115 439 3,657 694 2,734 229 Rate per 100,000 inhabitants 330.6 2.8 20.5 63.8 243.5 2,028.4 384.9 1,516.4 127.0 Knoxville, TN M.S.A. 634,806 (Includes Anderson, Blount, Knox, Loudon, and Union Counties.) City of Knoxville 174,993 1,692 18 81 443 1,150 11,081 2,432 7,231 1,418 Total area actually reporting 100.0% 3,264 35 233 645 2,351 25,230 5,824 16,964 2,442 Rate per 100,000 inhabitants 514.2 5.5 36.7 101.6 370.3 3,974.4 917.4 2,672.3 384.7 See footnotes at end of table. OFFENSES REPORTED 107 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Violent Metropolitan Statistical Area Population Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft ITnlrnmn ITVT AT C A IvOKOniO, 1PM PV1.S.A. 101,974 (Includes Howard and Tipton Counties.) City of Kokomo 46 229 1 94 ~l Total area actually reporting Sfi.V w IOC ■2 Estimated total i a a not, 1UU.U 70 302 Rit(=»ni=>r I AA AAA intiQhit'inl-i' Kate per iuu,wuu innaoiraius zyo.z 1 Q La Crosse, Wl-MJM M.S.A. i io nun 128,769 (Includes Houston County, MN and La Crosse County, wi.j City ot La Crosse, Wl 5 1 ,502 1 04 3 Total area actually reporting l A A C\CL lUU.U 70 1 79 j D 'itp> np>r 1 AA AAA inVi-jKit'inl-f Kate per iuu.uuu innaDiranrs 1 "}Q A i jy.u Ji.V T ,.1',,, ,,!{,, TTVJ H/I C A Latayette, ii> ivi.s.a. 182,512 (Includes Benton, Carroll, and Tippecanoe Counties.) City of Lafayette 60 954 243 | Total area actually reporting 85.1% 339 2 Estimated total 1 A A t\V7r, 1UU.U /o 2 D r.t^ 1 AA AAA Inlinkitnnin Kate per 1UU,UUU lnnabitants 2 10.9 1 . 1 Laiayette, la jvls.a. 243,294 (Includes Lafayette and St. Martin Parishes.) City of Lafayette 111 612 1 25 1 -j Total area actually reporting Ql lot, y i .L/c l,JUO n V Estimated total 1 AA (\CL, 1 701 1 0 D nt,-i 1 A A AAA ■■tUitkitmil-K Kate per 1UU,UUU innaDitants 699.2 4. 1 Lake Lnaries, la ivl&.a. 193,577 (Includes Calcasieu and Cameron Parishes.) City of Lake Charles CI 1 J_4 0 Total area actually reporting 96.6% y 9 3 1 3 Estimated total inn n<& 1 033 1 3 D 1 nan 132,98 / 262 1 10 97 1 54 3,376 440 2,423 5 1 3 Fullerton 1 'iCi 1 QA iju,iy4 if, ^ j j l 1 zu ZU 1 4,jyy 7W 1 1 OOO J, zzz sip, jyj Costa Mesa 1 1 1,281 304 1 42 1 1 2 1 49 3,586 5 1 6 2,665 405 Burbank i ao nni 103,993 2S3 3 15 6 l -l 196 2,694 5( )( ) 1,728 466 Compton 96.562 1,549 43 4 1 444 1 .02 1 2,340 548 99 1 80 i Carson Q1 OA/1 yj,vu4 ii\ zu / IU7 4 V / o ac<; 1,4 JJ 70 i Santa Monica 87,710 555 2 2 1 242 290 3,943 76 1 2,7 16 466 Newport Beach 78,915 1 15 0 1 6 27 72 2,526 666 1,671 1 89 Tustin 69,357 265 1 1 1 55 198 1,895 328 1,316 25 1 Montebello 64 274 ^48 4 1 7 88 1 39 O QQ-7 237 1 138 63^ Monterey Park AO Al] □ Z,4 / 1 1 A 7 1 o QQ 0 1 1 , JOU T70 OJ4 4j4 Garden a A A OQ1 JZ / j J / 0 AO ZoV 0 2 V _ J o 1 ,Ooj jyo WsA ■1 11 43 / Paramount ^"7 aso 1 "!A 1 A 1 U 1 I 14 1 AO Zi.4 0 AG"} 1 AAA l,UOU ov_ Fountain Valley 56,136 1 OS 0 9 43 56 1 ,449 254 1 ,037 1 58 Arcadia 55.480 1 37 2 5 55 75 1 ,540 383 987 1 70 Cerritos 53,172 199 2 7 97 93 1,972 328 1,261 383 Total area actually reporting 1 A A APT AO QAA 1,118 3,083 3 1,586 57, 103 380,455 73,250 OOA AQQ 86,5 17 Rate per 100,000 inhabitants 721.3 8.7 23.9 245.3 443.4 2,954.1 568.8 1,713.6 671.8 Los Angeles-Long Beach-Glendale, CA M.D. y,yuy,4t>3 (Includes Los Angeles County.) Total area actually reporting i aa (\of 84,67 1 1 ,054 2.586 28,962 52,069 1A7 OA/1 3U / ,Zy4 60,277 17 1,781 75,236 Rate per 100,000 inhabitants 854.4 10.6 26. 1 292.3 525.4 3,101.0 608.3 1,733.5 759.2 Santa Ana- Anaheim-Irvine, CA M.D. O QAQ (Includes Orange County.) Total area actually reporting 1 AA At? 8,2 19 f>4 497 2.624 5,034 73, 161 12,973 48,907 1 1,28 1 Kate pei iuu,uuu innaDitants 276.8 2.2 16.7 88.4 169.5 2,463.9 436.9 1 ,647. 1 379.9 Lubbock, TX M.S.A. 258,395 (Includes Crosby and Lubbock Counties.) City of Lubbock 206,882 2,395 14 101 31 1 1,969 13,246 2,829 9,726 691 Total area actually reporting 100.0% 2,528 18 117 315 2,078 14,892 3,259 10,849 784 Rate per 100,000 inhabitants 978.3 7.0 45.3 121.9 804.2 5,763.3 1,261.2 4,198.6 303.4 Lynchburg, VA M.S.A. 232,783 (Includes Amherst, Appomattox, Bedford, and Campbell Counties and Bedford and Lynchburg Cities.) City of Lynchburg 65,438 267 6 25 72 164 2,395 41 1 1,822 162 Total area actually reporting 100.0% 480 8 59 95 318 4,524 765 3,456 303 Rate per 100,000 inhabitants 206.2 3.4 25.3 40.8 136.6 1,943.4 328.6 1,484.6 130.2 Macon, GA M.S.A. 228,316 (Includes Bibb, Crawford, Jones, Monroe, and Twiggs Counties.) City of Macon 97,255 647 IS 46 229 354 9,072 1,881 6,181 1,010 Total area actually reporting 97.1% 793 21 73 254 445 13,508 2,986 9,063 1,459 Estimated total 100.0% 828 21 75 266 466 13,877 3,046 9,335 1,496 Rate per 100,000 inhabitants 362.7 9.2 32.8 116.5 204.1 6,078.0 1,334.1 4,088.6 655.2 Madera, CA M.S.A. 131,632 (Includes Madera County.) City of Madera 46,699 478 2 30 145 301 1,923 471 1,054 398 Total area actually reporting 100.0% 864 7 50 170 637 4,158 1,227 2,090 841 Rate per 100,000 inhabitants 656.4 5.3 38. 0 129.1 483.9 3,158.8 932.1 1,587.8 638.9 See footnotes at end of table. 110 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Madison, WI M.S.A. 522,573 (Includes Columbia, Dane, and Iowa Counties.) City of Madison 216,441 114 9, 63 '78 4 1 5 1 905 1 605 5 671 A. 7 Q Total area actually reporting 84.0% 1 100 1 g 1 24 >55 6( )6 14 089 7 79,7 10 929 878 Estimated total 100.0% i i &n 1,10a i a 1 3 /I 1 3ft 1 7 04 ft 1 9 04 0 1 s" 17/1 lJ,JZ4 7 s"17 Z,J J / 119/11 1 1,541 O 1 ft V40 Rate per 100,000 inhabitants 777 A j.i 7s" ft AO 7 ov. / 1 7/i n 1Z4.U 7 017 /I Z,VJZ.4 A 9 s - s" 7 7fts" O z,zoj.y 1 9 1 n 15 1 .U Mansfield, OH M.S.A. 128,167 (Includes Richland County.) City of Mansfield 50,812 1 ft 7 -j i 21 1 on JO 1 A 97 J.45Z Q77 oZZ 7 s"A7 1 s 1 1 JJ Total area actually reporting 100.0% 2 1 0 1 40 1 1 3 50 5,886 1 ,361 4.287 238 Rate per 100,000 inhabitants 1 ftl 9 1 O J . 5 c C J.J 3 1 7 99 7 55. Z io n JV.U /I s"07 A 4.JVZ.4 1 nfti o 1 1/1/1 o J,J44.V 1 9^ 7 1 5J. / McAllen-Edinburg-Pharr, TX M.S.A. 624,027 (Includes Hidalgo County.) City of: McAllen 115,647 5 1 2 ft 7U ZV 145 3 32 8 542 90 1 6 985 6^7 Edinburg 53,584 265 6 1 7 44 1 98 6,639 765 5,617 257 Pharr 52,075 111 J J A c j 1 M J U 7 ft /o 7 1 1 _4 1 1 091 ftft i 004 7 170 Z, JZV on vu Mission 52,232 78 Q 2 1 7 39 3 697 76 1 2 568 i68 Total area actually reporting 99.8% 7 832 ^ | 1 85 56"" 2 034 36 537 7 336 7ft 9A9 2 393 Estimated total 100.0% 2,836 5 1 1 85 563 2,037 36,597 7,348 26.852 2,397 Rate per 100,000 inhabitants 454 5 8 2 29 6 90 2 326 4 5 864 7 1 177 5 4 303 0 384 1 Medford, OR M.S.A. 188,446 (Includes Jackson County.) City of Medford 65,352 299 4 29 35 23 1 4,235 484 3.494 257 Total area actually reporting 99.8% ftni 0 0 2 7 70 7 ZV. / 35 0 7^7 ft ZjZ.O 4 193 2 A.Q7 g 3 343 1 247 3 Memphis, TN-MS-AR M.S.A. 1,239,073 (Includes Crittenden County, AR; DeSoto, Marshall, Tate, and Tunica Counties, MS; and Fayette, Shelby, and Tipton Counties, TN.) City of Memphis 653,858 i n oo"7 iu,zy / 1 1ft i "i 9 4 Jo A 7Q7 4,ZV / s" A 1A J,4JO s"s" /17s" jj ,4 / J i ft onn 10,VUU in n/io 9 s"7A Total area actually reporting 94.4% 12 207 1 50 570 A. ftRI 4,OoJ 6 804 77 Q20 21 047 41 635 10 238 Estimated total 100.0% i 7 17ft 1 5 1 CCft .ion /| Tin 4, / 1U ft 079 7^ nft9 / J,U05 7 1 fts"7 Zl ,OjZ /i i nn9 4J,UU5 i n /in9 1U,4U5 Rate per 100,000 inhabitants 998.8 12.3 47.3 380. 1 559. 1 6,058.4 1 ,747.4 3,471 .0 840.0 Merced, CA M.S.A. 227,763 (Includes Merced County.) City of Merced 68,941 ft i ft COO 7 7 □ ZV 1 A 9 1 Do 1 2*1 4 J_ /171ft 4, / 10 9 9 7 ooZ 1 1 97 J, 15Z OJ_ Total area actually reporting 100.0% i ftni i a 7ft /O ZoJ 1 77ft 1,ZZ0 q om 7 ft 7 /I Z.0Z4 ^ 79(1 J, /5U i «;7A 1,jZO Rate per 100,000 inhabitants 703 . 8 7.0 33.4 125.1 538.3 4,359.8 1 ,152. 1 2,537.7 670.0 Miami-Fort Lauderdale-Miami Beach, FL M.S.A. 5,327,879 (Includes the Metropolitan Divisions of Fort Lauderdale-Pompano Beach-Deerfield Beach, Miami-Miami Beach-Kendall, and West Palm Beach-Boca Raton-Boynton Beach.) City of: Miami 381,651 7, 157 7 -1 /4 1 u / 7 079 Z.VZo A f\AQ 4.U45 7ft 17n ZO, J /U K 979 J,S /O 1 ^ AC\A K n99 Fort Lauderdale 161,090 1, JJ2 1 9 1 0 4V ft -in 04 U ft 1 s 04J Q 71ft V, / JO 7 nn Z,JZU ft 79 1 0,Z51 i 1 1<; i, i jj Miami Beach 91,215 1, 172 o 77 / Z s07 JO/ Q /1 19 V,4J5 1/11/1 1 ,414 ft 9/in 0,54U 1, 154 Pompano Beach 88,748 /u / 24 207 47 3 3 061 s07 JV_ 2 091 ^79 J / 17 West Palm Beach 88,101 i i fti 1,101 1 1 ft 1 04 J Jo sis 747 8,7 1 8 1 /1 7/1 1 ,4 /4 y,445 jy / 1 .609 1^. OttO Zj.yoy 1 1 1^1 j 1 ,ZJ j 176,767 OS 001 1 1A QAf. 1Z4,040 ii t^isi ZJ,OZfi Newark, NJ 278,551 2,731 8 1 85 1,304 1,261 13,861 2,281 5,562 6,018 Edison Township, NJ 285 1 ] ] 115 1 S8 2 633 465 1 755 413 Wayne Township, NJ 55 241 30. n i Q 29 1 480 1 OS 1 704 1 7 1 wmte riains, in y 55,488 22 1 - 9 8 1 1 29 1 ,669 1 34 1,452 83 Union Township, NJ 55.849 1 6 1 1 9 89 62 2.022 349 1,281 392 Total area actually reporting 99 . 7 % on fvi i yU,U4 1 you 1 QYY7 jy,lU4 An ~\&a 4 / , 1 04 AC\1 KA1 4UJi,j4Z AO 1A1 oy.zoz 11A A1& Z /4,0Z0 r>y,or>4 Estimated total 1 A A ACY 90, 1 84 967 2,812 39, 160 47,245 4U4,0iy 69.42'' nc All Z / J,4Z / 59,763 D r ,t,-. „„„ 1 AA AAA InU^UIfnnt,. Kate per 1UU,UUU mnaDitants 483.3 5.2 15.1 209.9 253.2 2, 168.4 372. 1 1 ,476. 1 320.3 1. .):, ,.,. TUT \ 1 IA LulSOU, IX J IV1.1J, Z,Zo4,y4u (Includes Middlesex, Monmouth, Ocean, and Somerset Counties.) Total area actually reporting 1 AA ACZ. A Alf. 4.4ZO lb 11 1 ZZ4 1 ,4JZ 1 Til Z, MZ 4j, /jo o, /QZ 3 i in Jj,j l / j,ojy Rutp npr inn nnO inh'ihit'inK 195.4 1 7 9.9 63.2 120.6 2 020.3 387.7 1 471.0 161 .5 Nassau-Suffolk, NY M.D. 2,808,315 (Includes Nassau and Suffolk Counties.) Total area actually reporting 99.2% 5,486 57 256 2,134 3,039 51,397 8,166 37,565 5,666 Estimated total 100.0% 5,542 57 258 2,157 3,070 51,813 8,232 37,872 5,709 Rate per 100,000 inhabitants 197.3 2.0 9.2 76.8 109.3 1,845.0 293.1 1,348.6 203.3 Newark-Union, NJ-PA M.D. 2,144,145 (Includes Essex, Hunterdon, Moms, Sussex, and Union Counties, NJ and Pike County, PA.) Total area actually reporting 99.6% 9,619 176 345 4,675 4,423 60,404 11,657 32,236 16,511 Estimated total 100.0% 9,637 176 346 4,680 4,435 60,559 11,678 32,356 16,525 Rate per 100,000 inhabitants 449.5 8.2 16.1 218.3 206.8 2,824.4 544.6 1,509.0 770.7 New York- Wayne- White Plains, NY-NJ M.D. 11,442,087 (Includes Bergen, Hudson, and Passaic Counties, NJ and Bronx, Kings, New York, Putnam, Queens, Richmond, Rockland, and Westchester Counties, NY.) Total area actually reporting 99.8% 70,510 695 1,982 30,863 36,970 245,983 40,657 171,508 33,818 Estimated total 100.0% 70,579 696 1,984 30,891 37,008 246,489 40,737 171,882 33,870 Rate per 100,000 inhabitants 616.8 6.1 17.3 270.0 323.4 2,154.2 356.0 1,502.2 296.0 Niles-Benton Harbor, MI M.S.A. 162,762 (Includes Berrien County.) City of: Niles 12,009 74 0 17 8 49 729 132 543 54 Benton Harbor 11,084 321 2 14 28 277 674 239 344 91 Total area actually reporting 99.6% 779 5 113 76 585 5,047 1,081 3,618 348 Estimated total 100.0% 780 5 113 76 586 5,065 1,084 3,631 350 Rate per 100,000 inhabitants 479.2 3.1 69.4 46.7 360.0 3,111.9 666.0 2,230.9 215.0 Ocala, FL M.S.A. 277,542 (Includes Marion County.) City of Ocala 47,790 645 2 39 165 439 3,674 926 2,520 228 Total area actually reporting 100.0% 2,023 10 161 254 1,598 8,720 2,513 5,619 588 Rate per 100,000 inhabitants 728.9 3.6 58.0 91.5 575.8 3,141.9 905.4 2,024.6 211.9 See footnotes at end of table. 114 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Violent Metropolitan Statistical Area Population Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft (i,,„:, n fitir mt nit; i vjcean \^iiy, r\j ivi.o.a. 102 584 (Includes Cape May County.) v_iiy 01 wccdii uy 15 603 i ^ 0 Total area actually reporting 1 AA ACZ. "I IV J JO n — D r ,t,-. „„„ 1 AA AAA ;.-,l. n lilt,„-.t,. Kate per 1UU,UUU lnnabitants 329.5 1 .9 Odessa, iaivi.s.a. 124,214 (Includes Ector County.) City of Odessa 92 375 Total area actually reporting 1 A A AC7 lUU.UVo 72 1 6 Kate per i uu,uuvj lnnauiranis JoU.4 i ^ 4.o i'W 1.. 1... in i /""I+.i i \tS ~\J C A t Jkiaiionia t-ity, V/K 1V1.S.A. 1 1 (Ull (Includes Canadian, Cleveland, Grady, Lincoln, Logan, McClain, and Oklahoma Counties.) City of Oklahoma City 52 1,68 1 4,642 49 Total area actually reporting 1 A A ACY lUU.UVo 6,353 67 n (lt(1 „ „ ^ i A A AAA , « 1-, ■ , I-, ; i , « t- , ■ Kate per iuu,uuu mnaoitants 563.7 5.9 tjivmpia, wa ivi.s.A. Tin QQfl (Includes Thurston County. ) City of Olympia 4o,V0 1 1 45 Q Total area actually reporting 1 AA AC7 IUU.U70 57 S 4 D nt,-i 1 A A AAA ■■tUrtUitmil-K Kate per 1UU,UUU lnnabitants 262.9 1 .8 Oiii'ih-i Pnnnril Rlnffc NF-IA MSA (Includes Harrison, Mills, and Pottawattamie Counties, IA and Cass, Douglas, Sarpy, Saunders, and Washington Counties, NE.) City of' Umana, iNfc, 401 ,692 2.627 LOUllCll DlUttS, 1A 58,786 497 5 Total area actually reporting Q"7 let, 7 1.3/0 j,4yo Estimated total 1 AA At? lUU.Uvc 3.523 43 Kate per tuu,UUU lnnabitants 446.7 5.5 v^rianciu, r i, ivi.o.a. 1, / o4,ZD4 (Includes Lake, Orange, Osceola, and Seminole Counties.) City of Orlando ty / ,zo5 3,322 2 1 Total area actually reporting 1 AA (WTr, 1UU.U 10 13 540 OA Kate per i uu,uuu innauiranis 758 9 5 0 (V |,| .„ |, Mnnnnli W71 A/I C A osiiKOsii-iNeeiiaii, wi ivi.s.a. 159,306 (Includes Winnebago County.) City of: Oshkosh 63,827 1 22 0 Neenah Z4,Ol J 1 Q n u Total area actually reporting 100.0% 202 2 Rate per 100,000 inhabitants 126.8 1.3 Owensboro, KY M.S.A. 110,986 (Includes Daviess, Hancock, and McLean Counties.) City of Owensboro 54,506 172 0 Total area actually reporting 83.1% 232 1 Estimated total 100.0% 279 1 Rate per 100,000 inhabitants 251.4 0.9 Oxnard-Thousand Oaks- Ventura, CA M.S.A. 792,144 (Includes Ventura County.) City of: Oxnard 179,851 808 22 Thousand Oaks 123,987 201 1 Ventura 104,706 261 3 Camarillo 60,068 98 1 Total area actually reporting 100.0% 2,029 42 Rate per 100,000 inhabitants 256.1 5.3 2 9 12 875 162 706 7 21 70 245 4,180 936 3,100 144 20.5 68.2 238.8 4,074.7 912.4 3,021.9 140.4 12 65 508 4,639 826 3,608 205 19 76 620 6, 171 1 ,082 4.804 285 15.3 61.2 499.1 4,968.0 87 1. 1 3,867.5 229.4 365 1,381 2,847 47,595 8,300 35,367 3,928 547 1,662 4,077 66,331 12,813 48,299 5,219 48.5 147.5 361 .8 5,885.7 1,1 36.9 4,285.7 463. 1 38 32 75 2,189 303 1,724 162 108 91 375 7,443 1,658 5,191 594 49.1 41.4 170.5 3,385.0 754.0 2,360.8 270.1 179 896 1,517 24,512 3,449 16,869 4,194 71 78 343 6,138 1,005 4,271 862 304 1,001 2,148 37,543 5,743 26.057 5,743 307 1,004 2,169 3 / ,y29 5,820 26,337 5,772 38.9 127.3 275.0 4,809.3 738.0 3,339.5 73 1 .9 136 849 2,316 17,024 3,593 11,511 1,920 745 3,034 9,671 OA OQ"7 su,ye / 19,872 52,769 8,346 41.8 170.0 542.0 4,539.0 1,1 13.7 2,957.5 467.8 Q 2 3 0 1 "P4 1 888 74 4 3 ii 493 70 409 14 26 29 145 4,153 636 3,387 130 16.3 18.2 91.0 2,606.9 399.2 2,126.1 81.6 7 53 1 12 2,687 537 2,049 101 7 59 165 3,239 716 2,397 126 16 68 194 3,748 828 2,769 151 14.4 61.3 174.8 3,377.0 746.0 2,494.9 136.1 37 352 397 4,719 975 3,156 588 12 38 150 1,785 332 1,311 142 21 96 141 3,968 764 2,855 349 10 15 72 1,071 224 772 75 129 645 1,213 16,369 3,479 11,170 1,720 16.3 81.4 153.1 2,066.4 439.2 1,410.1 217.1 See footnotes at end of table. OFFENSES REPORTED 115 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Palm Bay-Melbourne-Titusville, FL M.S.A. 504,647 (Includes Brevard County ) City of: Palm Bay 84,558 576 8 72 64 432 3,199 890 2,130 179 Melbourne 75,155 593 4 31 122 436 3.628 (881 2,490 257 Titusville 41,879 356 2 19 70 265 1,726 548 937 241 Total area actually reporting 100.0% 3,544 22 265 539 2,718 18,182 4,798 12,060 1,324 Rate per 100,000 inhabitants 702.3 4.4 52.5 106.8 538.6 3.602.9 950.8 2,389.8 262.4 Panama City-Lynn Haven, FL M.S.A. 154,681 (Includes Bay County ) City of: Panama City 37,393 378 1 34 87 256 2.818 490 2,173 155 Lynn Haven 13,508 45 1 1 7 36 477 1 19 331 27 Total area actually reportin ,T 100.0% 1 179 7 120 215 837 8 711 1,855 6,406 450 Rate per 100,000 inhabitants 762.2 4.5 77.6 139.0 541.1 5,631.6 1,199.2 4,141.4 290.9 Pascagoula, MS M.S.A. 153,562 (Includes George and Jackson Counties.) City of Pascagoula 26,076 136 1 46 72 17 1,947 696 1,1 14 137 Total area actually reporting 88.7% 435 4 89 161 181 5,967 2,043 3,397 527 Estimated total 100.0% 470 5 93 168 204 6,382 2,173 3,633 576 Rate per 100,000 inhabitants 306.1 3.3 60.6 109.4 132.8 4,156.0 1,415.1 2,365.8 375.1 Pensacola-Ferry Pass-Brent, FL M.S.A. 432,254 (Includes Escambia and Santa Rosa Counties.) City of Pensacola 56,251 375 4 41 83 247 2,625 600 1,919 106 Total area actually reporting 1 00 0% 2,233 12 193 417 1,61 1 14.759 3,856 10 060 843 Rate per 100,000 inhabitants 516.6 2.8 44.6 96.5 372.7 3,414.4 892.1 2,327.3 195.0 Philadelphia- Camden -Wilmington, PA-NJ-DE-MD M.S.A. 5 775 734 (Includes the IVIetropohtan Divisions of Camden, NJ; Philadelphia, PA; and Wilmington, DE-MD-NJ.) City of: Philadelphia, PA 1,495,903 20,620 348 1,004 9,617 9,651 62,454 10,656 37,864 13,934 Camden, NJ 80,132 1,925 41 56 856 972 5,279 1,459 2,671 1,149 Wilmington, DE 73,411 1,088 7 37 416 628 3,823 869 2,192 762 Total area actually reporting 98.3% 34,958 478 1,916 14,152 18,412 161,859 29,034 108,835 23,990 Estimated total 100.0% 35,200 480 1,933 14,218 18,569 163,834 29,305 110,358 24,171 Rate per 100,000 inhabitants 609.4 8.3 33.5 246.2 321.5 2,836.6 507.4 1,910.7 418.5 Camden NJ M.D. 1 218,662 (Includes Burlington Camden and Gloucester Counties.) Total area actually reporting 100.0% 4,838 68 276 1,848 2,646 32,991 7,104 22,525 3,362 Rate per 100,000 inhabitants 397.0 5.6 22.6 151.6 217.1 2.707.1 582.9 1,848.3 275.9 Philadelphia, PA M.D. 1 882 31 5 (Includes Bucks Chester Delaware Montgomery, and Philadelphia Counties.) Total area actually reporting 97.5% 26,031 391 1,418 11,054 13,168 106,444 17,003 71,517 17,924 Estimated total 100 0% 26 273 i93 1 435 1 1 120 13 325 108 419 17 274 73 040 18 105 Rate per 100,000 inhabitants 676.7 10.1 37.0 286.4 343.2 2.792.6 444.9 1,881.4 466.3 Wilmington, DE-MD-NJ M.D. 674,757 (Includes New Castle County DE" Cecil County, MD; and Salem County, NJ.) Total area actually reporting 100.0% 4,089 19 222 1,250 2,598 22,424 4,927 14,793 2,704 Rate per 100,000 inhabitants 606.0 2.8 32.9 185.3 385.0 3,323.3 730.2 2,192.3 400.7 Phoenix-Mesa-Scottsdale, AZ M.S.A. 1 3,579,924 (Includes Maricopa and Pinal Counties.) City of: Phoenix 1,403,228 9,722 241 526 3,676 5,279 97,823 17,104 55,068 25,651 Mesa 436,569 2,346 14 116 431 1,785 26,127 4,112 17,452 4,563 Scottsdale 220,697 493 7 62 163 261 9,475 2,315 5,659 1,501 Tempe 163,143 1,013 7 74 299 633 14,887 2,430 9,756 2,701 Total area actually reporting 98.5% 17,926 328 1,146 5,536 10,916 206,736 39,755 122,399 44,582 Estimated total 100.0% 18,132 329 1,163 5,581 11,059 209,519 40,359 124,131 45,029 Rate per 100,000 inhabitants 506.5 9.2 32.5 155.9 308.9 5,852.6 1,127.4 3,467.4 1,257.8 See footnotes at end of table. 116 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Pine Bluff, AR M.S.A. 1 106,774 (Includes Cleveland Jefferson and Lincoln Counties ) City of Pine Bluff 54,482 578 16 44 150 368 4,530 1,198 2,930 402 Total area actually reportin* 1 100.0% 703 18 52 163 470 5.271 1,596 3,245 430 Rate per 100,000 inhabitants 658.4 16.9 48.7 152.7 440.2 4,936.6 1,494.7 3,039.1 402.7 Pittsburgh, PA M.S.A. 2 424 149 (Includes Allegheny, Armstrong, Beaver, Butler, Fayette, Washington, and Westmoreland Counties ) City of Pittsburgh 335,302 3,559 67 136 1,635 1,721 16,435 3,180 10,610 2,645 Total area actually reportin* 1 86.8% 7,991 1 10 470 2,740 4,671 51.558 9,625 36,524 5,409 Estimated total 100.0% 8,715 1 16 522 2,926 5,151 58,368 10,605 41,852 5,91 1 Rate per 100,000 inhabitants 359.5 4.8 21.5 120.7 212.5 2,407.8 437.5 1,726.5 243.8 Pittsfield MA M.S.A. 133,579 (Includes Berkshire County ) City of Pittsfield 45,062 197 3 13 15 166 71 1 109 441 161 Total area actually reporting 86.7% 422 4 43 30 345 2,193 573 1,368 252 Estimated total 1 00 (Wn 445 4 44 33 364 2.363 61 5 1 475 273 Rate per 100,000 inhabitants 333.1 3.0 32.9 24.7 272.5 1,769.0 460.4 1,104.2 204.4 Pnrafplln Tf> MSA 84 746 (Includes Bannock, and Power Counties ) City of Pocatello 52,205 138 1 19 g 1 10 1,752 204 1,464 84 Total area actually reporting 100.0% 229 1 28 |0 190 2,654 342 2,201 1 1 1 Rate per 100,000 inhabitants 270.2 12 33.0 1 1 .8 224.2 3,131.7 403.6 2,597.2 131.0 Portland -South Portland -Bid deford ME M.S.A. 504,909 (Includes Cumberland Sagadahoc and York Counties.) City of: Portland 64,438 242 1 51 101 89 3,036 676 2,191 169 South Portland 23,457 43 0 1 1 t) 23 1,214 108 1,065 4] Biddeford 21,874 63 0 18 1 7 28 877 1 10 734 33 Total area actually reporting 100.0% 638 3 160 174 301 12,614 2,424 9,583 607 Rate per 100,000 inhabitants 126.4 0.6 31.7 34 5 59.6 2.498.3 480.1 1,898.0 120.2 Portland -Vancouver-Beaverton, OR-WA M.S.A. 1 2,037 963 (Includes Clackamas Columbia Multnomah Washington and Yamhill Counties OR and Clark and Skamania Counties ^VA. ) City of: Portland OR 545,271 4,436 27 310 1,367 2,732 41.951 6,484 29,599 5,868 Vancouver WA' 151,353 642 2 128 164 348 8.723 1,283 6,244 1,196 Beaverton OR 80,631 163 2 24 55 82 3,398 471 2,516 411 Hillsboro, OR 76,766 182 0 30 70 82 3,622 444 2,810 368 Total area actually reporting 98.7% 7,317 40 852 2,169 4,256 100,245 15,837 71,713 12,695 Estimated total 100.0% 7,357 40 858 2,177 4,282 101,086 15,999 72,293 12,794 Rate per 1 00,000 inhabitants 361.0 2.0 42. 1 106.8 210.1 4,960.1 785.0 3,547.3 627.8 Port St. Lucie-Fort Pierce, FL M.S.A. 343,818 (Includes Martin and St. Lucie Counties.) City of: Poit St. Lucie 100 342 ^8 1 1 17 30 233 2 699 gg3 1 906 1 1 0 Fort Pierce 38,684 830 15 57 249 509 3,448 1,043 2,132 273 Total area actually reportinu 100.0% 2,063 21 128 456 1,458 12,482 3,334 8,331 8 1 7 Rate per 100,000 inhabitants 600.0 6.1 37.2 132.6 424.1 3,630.4 969.7 2,423.1 237.6 Poughkeepsie-Newburgh-Middletovra, NY M.S.A. 645,621 (Includes Dutchess and Orange Counties.) City of: Poughkeepsie 30,124 348 2 26 131 189 1,162 257 822 83 Newburgh 28,430 260 2 26 57 175 1,047 316 624 107 Middletown 25,819 84 2 11 38 33 656 94 527 35 Total area actually reporting 96.2% 1,539 11 130 384 1,014 11,758 2,100 9,007 651 Estimated total 100.0% 1,585 11 132 400 1,042 12,272 2,175 9,411 686 Rate per 100,000 inhabitants 245.5 1.7 20.4 62.0 161.4 1,900.8 336.9 1,457.7 106.3 See footnotes at end of table. OFFENSES REPORTED 117 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Prescott AZ M.S.A. 183,138 (Includes Yavapai County.) City of Prescott 37 127 159 1 7 24 127 2,146 413 1,627 106 Total aiea actually leportmg 95.2% 68 3 37 48 592 6 603 1 508 4 606 489 Estimated totiil 100.0% 7 1 7 40 55 616 7.065 1,608 4,894 563 Rate per 100,000 inhabitants 391.5 3.3 21.8 30.0 336.4 3,857.7 878.0 2,672.3 307.4 Provide net* -New Bedford-Full River RI-MA M.S.A. 1,620,073 (Includes Bristol County MA and Bristol Kent Newport Providence and AVashington Counties, RI.) City of: Providence RI 176,960 1,395 18 133 515 729 11,083 1,682 6,756 2,645 94 170 679 j i 104 i ^4 330 2 666 945 1 187 534 Fall River MA 92,741 1,067 3 77 270 7 17 3,477 1,260 1,664 553 Warwick, RI 87,563 129 () 36 27 66 2,558 341 2,038 179 Cranston RI 81,601 159 35 43 81 2,340 436 1,649 255 Total area actually reporting 99.6% 5,843 40 744 1,483 3,576 46,104 9,405 30,455 6,244 Estimated total 100.0% 5.864 40 745 1,487 3,592 46.231 9,433 30,538 6,260 Rate per 100,000 inhabitants 362.0 2.5 46.0 91.8 221.7 2,853.6 582.3 1,885.0 386.4 Provo-Orem UT M.S.A. 402 411 (Includes Juab and Utah Counties.) City of: 106,769 1 14 0 36 16 62 3,512 841 2,492 1 79 Orem 84,934 68 2 18 18 30 3,503 372 2,932 199 Total area actually reporting 99.1% 364 3 104 50 207 13.508 2,568 10,234 706 Estimated total 100.0% 372 3 106 5 1 212 13,638 2,591 10,331 716 Rate per 100,000 inhabitants 92.4 0.7 26.3 12.7 52.7 3,389.1 643.9 2,567.3 177.9 Pueblo CO M.S.A. 148,319 (Includes Pueblo County.) City of Pueblo 104,424 8 1 7 38 175 598 5 571 1,241 3,928 402 Total area actually reporting 100.0% 857 7 39 182 629 6,920 1,565 4,906 449 Rate per 100,000 inhabitants 577.8 4.7 26.3 122.7 424.1 4.665.6 1,055.2 3,307.7 302.7 Punta Gorda, FL M.S.A. 151,399 (Includes Charlotte County.) City of Punta Gorda 16,303 30 0 3 4 23 419 141 253 25 Total area actually reporting 100.0% 429 4 27 51 347 4,534 1,259 3,027 248 Rate per 100,000 inhabitants 283.4 2.6 17.8 33.7 229.2 2,994.7 831.6 1,999.4 163.8 Racine WI M.S.A. 192,104 (Includes Racine County ) City of Racine 81,173 317 3 22 2()5 87 4,290 836 3,055 399 Total area actually reportinu 100.0% 377 5 30 23 1 1 1 1 6,545 1,134 4,898 513 Rate per 1 00,000 inhabitants 196.2 2.6 15.6 120.2 57.8 3,407.0 590.3 2,549.7 267.0 Raleigh-Cary, NC M.S.A. 868 1 20 (Includes Franklin, Johnston, and Wake Counties. ) City of: Raleigh 310,157 2,004 14 81 748 1,161 14,771 3,327 10,186 1,258 99,067 109 () 17 36 56 2,244 397 1,717 130 Total area actually reporting 99.1% 3,171 30 165 1 078 1,898 30.131 7,320 20,538 2,273 Estimated total 100.0% 3,205 30 167 1,089 1,919 30,576 7,419 20,862 2,295 Rate per 100,000 inhabitants 369.2 3.5 19.2 125.4 221.1 3,522.1 854.6 2,403.1 264.4 Rapid City, SD M.S.A. 115,820 (Includes Meade and Pennington Counties.) City of Rapid City 60,519 242 0 67 35 140 2,712 409 2,167 136 Total area actually reporting 100.0% 400 3 126 39 232 4,408 609 3,581 218 Rate per 100,000 inhabitants 345.4 2.6 108.8 33.7 200.3 3,805.9 525.8 3,091.9 188.2 Reading, PA M.S.A. 383,049 (Includes Berks County.) City of Reading 80,692 946 16 56 434 440 4,643 1,140 2,458 1,045 Total area actually reporting 93.7% 1,272 19 86 518 649 9,602 1,828 6,319 1,455 Estimated total 100.0% 1,326 19 90 532 685 10,111 1,901 6,717 1,493 Rate per 100,000 inhabitants 346.2 5.0 23.5 138.9 178.8 2,639.6 496.3 1,753.6 389.8 See footnotes at end of table. 118 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Properly crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Redding, CA M.S.A. 173,601 (Includes Shasta County.) City of Redding 86,559 393 2 67 88 236 3,156 779 2,039 338 Total area actually reporting 100.0% 765 5 1 10 111 539 5,084 1,454 2,987 643 Rate per 100,000 inhabitants 440.7 2.9 63.4 63.9 310.5 2,928.6 837.6 1,720.6 370.4 Reno-Sparks, NV M.S.A. 377,135 (Includes Storey and Washoe Counties.) City of: Reno 196,171 1,255 11 89 493 662 11,231 1,976 7,708 1,547 Sparks 76,025 358 3 44 102 209 3,756 828 2,482 446 Total area actually reporting 100.0% 1,951 21 144 629 1,157 17,038 3,393 11,449 2,196 Rate per 100,000 inhabitants 517.3 5.6 38.2 166.8 306.8 4,517.7 899.7 3,035.8 582.3 Richmond, VA M.S.A. 1 1,140,589 (Includes Amelia, Caroline, Charles City, Chesterfield, Cumberland, Dinwiddie, Goochland, Hanover, Henrico, King and Queen, King William, Louisa, New Kent, Powhatan, Prince George, and Sussex Counties, and Colonial Heights, Hopewell, Petersburg, and Richmond Cities.) City of Richmond 1 iyy,yoe 2,474 93 98 1,174 1,109 2,816 2,71 1 Total area actually reporting QO OPS, 4,000 1 j j _OU 1,VZZ 0 ICtCi z,juy "7 1/1 1 Estimated total 1 t\C\ (\Of lUU.Uvfl 4,687 1 55 282 1 .928 2.322 7,372 4,557 Kate per ! UU,UU1. 1 II41I U lilt l"\ f 11 1 t\ 1 HI. V - . \ M.S.A. 3,552,063 (Includes Riverside and San Bernardino Counties.) City of: Riverside 277,103 1,916 24 102 573 1,217 12,891 2,194 8,098 2,599 San Bernardino 193,641 2,864 48 120 1,032 1,664 12,238 2,524 6,401 3,313 Ontario 166,796 904 11 47 323 523 7,472 1,019 4,331 2,122 Chino 70,695 243 2 15 88 138 2,366 459 1,387 520 Victorville 71,571 323 3 28 130 162 3,863 856 2,415 592 Redlands 67,449 379 2 17 94 266 2,767 531 1,733 503 He met 64,032 438 1 29 107 301 2,957 801 1,819 337 Temecula 74,567 222 1 22 38 161 2,026 414 1,314 298 Total area actually reporting 100.0% 19,335 258 1,035 5,375 12,667 131,091 30,311 73,672 27,108 Rate per 100,000 inhabitants 544.3 7.3 29.1 151.3 356.6 3,690.6 853.3 2,074.1 763.2 Rochester, MN M.S.A. 170,754 (Includes Dodge, Olmsted, and Wabasha Counties.) City of Rochester 91,230 257 0 59 47 151 3,004 477 2,360 167 Total area actually reporting 100.0% 335 0 87 52 196 4,050 772 3,033 245 Rate per 100,000 inhabitants 196.2 0.0 51.0 30.5 114.8 2,371.8 452.1 1,776.2 143.5 Rochester, NY M.S.A. 1,044,556 (Includes Livingston, Monroe, Ontario, Orleans, and Wayne Counties.) City of Rochester 217,527 2,034 58 86 1,166 724 15,708 2,497 9,773 3,438 Total area actually reporting 98.9% 3,034 66 210 1,467 1,291 35,033 5,464 24,918 4,651 Estimated total 100.0% 3,055 66 211 1,474 1,304 35,279 5,500 25,111 4,668 Rate per 100,000 inhabitants 292.5 6.3 20.2 141.1 124.8 3,377.4 526.5 2,404.0 446.9 Rocky Mount, NC M.S.A. 145,804 (Includes Edgecombe and Nash Counties.) City of Rocky Mount 56,601 459 7 21 195 236 5,065 1,227 3,589 249 Total area actually reporting 100.0% 708 16 36 255 401 7,632 2,169 5,043 420 Rate per 100,000 inhabitants 485.6 11.0 24.7 174.9 275.0 5,234.4 1,487.6 3,458.8 288.1 Rome, GA M.S.A. 93,952 (Includes Floyd County.) City of Rome 35,749 438 6 13 67 352 2,761 624 1,972 165 Total area actually reporting 100.0% 524 10 13 75 426 4,529 1,077 3,134 318 Rate per 100,000 inhabitants 557.7 10.6 13.8 79.8 453.4 4,820.5 1,146.3 3,335.7 338.5 See footnotes at end of table. OFFENSES REPORTED 119 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Metropolitan Statistical Area Population Sacramento-Arden-Arcade-Roseville, CA M.S.A. 1,950,441 (Includes El Dorado, Placer, Sacramento, and Yolo Counties.) City of: Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Motor Larceny- vehicle theft theft Sacramento 439,811 3,420 43 187 1,630 1,560 28,266 5,606 15,374 7,286 Roseville 92,724 266 4 22 68 172 3,652 572 2,650 430 Folsom 61,899 1 19 0 16 24 79 1,638 360 1,131 147 Woodland 51,383 281 2 22 42 215 1,517 607 569 341 Total area actually reporting 100.0% 9,850 101 688 3,286 5,775 82,424 17,349 47,363 17,712 Rate per 100,000 inhabitants 505.0 5.2 35.3 168.5 296.1 4,225.9 889.5 2,428.3 908.1 Saginaw -Saginaw Township North, MI M.S.A. 210,704 (Includes Saginaw County.) City of Saginaw 60,273 1,640 16 74 173 1,377 2,684 1,054 1,350 280 Total area actually reporting 100.0% 2,218 20 140 253 1,805 7,575 1,908 5,137 530 Rate per 100,000 inhabitants 1,052.7 9.5 66.4 120.1 856.7 3,595.1 905.5 2,438.0 251.5 Salem, OR M.S.A. 361,681 (Includes Marion and Polk Counties.) City of Salem 142,501 514 5 75 180 254 11,563 1,575 8,417 1,571 Total area actually reporting 99.7% 886 8 124 236 518 21,808 3,325 15,466 3,017 Estimated total 100.0% 888 8 124 237 519 21,853 3,332 15,499 3,022 Rate per 100,000 inhabitants 245.5 2.2 34.3 65.5 143.5 6,042.1 921.3 4,285.3 835.5 Salinas, CA M.S.A. 417,745 (Includes Monterey County.) City of Salinas 150,305 1,200 19 57 399 725 7,415 837 5,163 1,415 Total area actually reporting 100.0% 2,054 27 131 660 1,236 14,526 2,623 9,854 2,049 Rate per 100,000 inhabitants 491.7 6.5 31.4 158.0 295.9 3,477.2 627.9 2,358.9 490.5 Salisbury, MD M.S.A. 112,914 (Includes Somerset and Wicomico Counties.) City of Salisbury 24,874 469 0 17 128 324 1,831 498 1,269 64 Total area actually reporting 100.0% 859 3 39 190 627 4,225 1,175 2,867 183 Rate per 100,000 inhabitants 760.8 2.7 34.5 168.3 555.3 3,741.8 1 ,040.6 2,539.1 162.1 Salt Lake City, UT M.S.A. 1,012,356 (Includes Salt Lake, Summit, and Tooele Counties.) City of Salt Lake City 184,022 1,294 17 79 503 695 16,745 2,359 12,464 1,922 Total area actually reporting 99.8% 3,671 39 465 987 2,180 56,385 8,636 42,551 5,198 Estimated total 100.0% 3,676 39 466 988 2,183 56,463 8,649 42,610 5,204 Rate per 100,000 inhabitants 363.1 3.9 46.0 97.6 215.6 5,577.4 854.3 4,209.0 514.0 San Angelo, TX M.S.A. 106,404 (Includes Irion and Tom Green Counties.) City of San Angelo 88,782 407 1 77 62 267 5,965 1,264 4,464 237 Total area actually reporting 100.0% 425 2 79 62 282 6,307 1,349 4,704 254 Rate per 100,000 inhabitants 399.4 1.9 74.2 58.3 265.0 5,927.4 1,267.8 4,420.9 238.7 San Antonio, TX M.S.A. 1,814,397 (Includes Atascosa, Bandera, Bexar, Comal, Guadalupe, Kendall, Medina, and Wilson Counties.) City of San Antonio 1,212,789 7,252 85 537 2,060 4,570 83,000 14,619 62,179 6,202 Total area actually reporting 100.0% 8,800 114 751 2,270 5,665 103,709 19,106 77,329 7,274 Rate per 100,000 inhabitants 485.0 6.3 41.4 125.1 312.2 5,715.9 1,053.0 4,262.0 400.9 San Diego-Carlsbad-San Marcos, CA M.S A. 2,937,155 (Includes San Diego County.) City of: San Diego 1,272,746 7,366 65 406 1,626 5,269 46,382 8,076 25,739 12,567 Carlsbad 87,548 266 4 14 64 184 2,199 496 1,445 258 San Marcos 62,785 205 3 18 46 138 1,475 440 765 270 National City 56,124 546 9 33 155 349 2,740 337 1,407 996 Total area actually reporting 100.0% 14,007 130 856 3,375 9,646 96,636 18,893 54,278 23,465 Rate per 100,000 inhabitants 476.9 4.4 29.1 114.9 328.4 3,290.1 643.2 1,848.0 798.9 Sandusky, OH M.SA. 79,308 (Includes Erie County.) City of Sandusky 27,391 115 0 11 26 78 1,709 338 1,300 71 Total area actually reporting 99.5% 163 0 24 30 109 2,866 562 2,200 104 Estimated total 100.0% 163 0 24 30 109 2,877 564 2,208 105 Rate per 100,000 inhabitants 205.5 ().() 30.3 37.8 137.4 3,627.6 711.2 2,784.1 132.4 See footnotes at end of table. 120 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Metropolitan Statistical Area San Francisco- Oakland-Fremont, CA M.S.A. (Includes the Metropolitan Divisions of Oakland-Fremont-Hay ward and San Francisco San Mateo-Redwood City.) City of: Population 4,223,349 Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Motor Larceny- vehicle theft theft San Francisco 777 aa<\ J, /Zj _ 1 J 1 AAs" 7 17A Z,J /□ 1Q 1 AT JO, 1 UJ s" 7Q/1 J, /o4 icq Zj,joo A OO 1 o,yy 1 uaKlana /1A7 AA1 4U / ,UUJ 5,613 1 09 268 2,474 2,762 22,630 4,568 12,55 1 5,5 1 1 Fremont 7 AO A7A zuy,uzo 433 34 140 257 5,693 1 .05 9 3,876 758 Hay ward 1 AA 1 44, Zl J AAA OUU 0 0 1 1 4 1 Zj / 1QA _y4 s" 1 7s" J, 1ZJ 04 / O A/17 1 A1 1 1,03 1 Berkeley 1 A/1 777 1U4, 111 926 6 1 6 402 502 8,695 1 ,245 6,2 17 1,233 San Mateo 07 QAA yz,yuu 1 1 1 J4 1 1 Zo yj _ 1 / 7 HKf\ Z, / JO _y4 7 7A9. Z,ZUo 1KA Zj4 San Leandro 0 1,4 jj "^78 ^6 2Q 7 257 4 040 748 2 453 8^9 Redwood City 75,234 367 2 1 7 6 1 28 7 2, 1 90 383 1,590 2 1 7 Walnut Creek 66.03 1 1 ( )6 0 8 1 8 80 2,635 434 1 ,938 26 3 Pleasanaton 66,845 82 0 8 3 1 43 1 ,598 205 1 ,208 1 85 South San Francisco 60,584 1 35 2 17 56 60 1,481 32 1 8 L H 269 ian Kataei s"A Q7Q JO,o / y JAW .J >0 A u 7 s Zj A A DO 1 1 1 1 1 / Z,U1U JZ / 1 711 1 ,ZJ J 1 ^ A 4jU Total area actually reporting 1 A A ACY 22,710 302 1, 149 9,762 1 1 ,497 171 ,400 28,867 1 AO AAA iuo,yuu 33,633 Kate per 1UU,UUU lnnabitants 537.7 7.2 27.2 231. 1 272.2 4,058.4 683.5 2,578.5 796.4 Oakland -Fremont-Hay ward, CA M.D. "> /ion CfjtL (Includes Alameda and Contra Costa Counties.) Total area actually reporting inn n% 14 291 2 1 3 7 1 5 5 889 7 474 107 816 18 736 65 865 23 215 D lip npr 1 AO. AAA. i nh-jkit'inl-c K.aie per iuu,uuu innaDuanis 573 8 8 6 28 7 236 5 300 1 4 329 0 752 3 2 644 6 932 1 San Francisco- San Mateo-Redwood City, CA M.D. 1 Til Q11 l,732,sz3 (Includes Marin, San Francisco, and San Mateo Counties.) Total area actually reporting 1 A A ACY 8,419 89 434 3,873 4,023 63,584 10, 13 1 43,035 10,41 8 Pitp nor i nn aaa inhahitani-c Ivdlc pel 1UU,UUU lllllaUlLallLS 485 9 25 0 293 5 232 2 3 669 4 584 7 2 483 5 601 2 i>an jose-sunny vaie-oanta i^iara, v . v ivio./i. 1 757 692 (Includes San Benito and Santa Clara Counties.) Lity 01. San Jose gaq son yuy,oyu 1 17C J, J /O 1 0 zv 7 70 z /y 0 1 j 7 7s" s" Z,ZJJ 7A ~IA Q ZU, /4o J, J 14 1 3,770 1 AA/1 Sunnyvale 131 ,048 1 72 26 65 79 2.884 372 2.269 243 Santa Clara 1Q7 A^g n ^5 48 1 7 3 3 006 4~M) 2 ^44 Mountain View 70,781 29 1 1 6 42 242 1 ,837 209 1 ,489 1 39 Milpitas £*A 1A9. 7AA 7 ^ Zj JO 1 "1A 1 JO 0 OAT Z,ZUJ JU 1 1 AA1 7 10 zjy Falo Alto 58,147 88 5 40 41 1 ,968 276 1,606 86 C upertino 50,530 77 1 3 18 50 1 174 184 954 36 Total area actually reporting 100.0% 5,573 50 470 1,254 3,799 43,388 7,017 30,714 5,657 Rate per 100,000 inhabitants 317.1 2.8 26.7 71.3 216.1 2,468.5 399.2 1,747.4 321.8 San Luis Obispo-Paso Robles, CA M.S.A. 256,067 (Includes San Luis Obispo County.) City of: San Luis Obispo 44,720 139 1 20 19 99 1,944 344 1,469 131 Paso Robles 26,635 122 3 13 14 92 933 376 483 74 Total area actually reporting 100.0% 638 7 79 61 491 7,015 1,642 4,879 494 Rate per 100,000 inhabitants 249.2 2.7 30.9 23.8 191.7 2,739.5 641.2 1,905.4 192.9 Santa Cruz-Watsonville, CA M.S.A. 256,477 (Includes Santa Cruz County.) City of: Santa Cruz 54,401 510 4 48 112 346 3,121 523 2,420 178 Watsonville 47,133 329 3 23 99 204 2,049 331 1,569 149 Total area actually reporting 100.0% 1,268 13 102 264 889 9,865 1,814 7,356 695 Rate per 100,000 inhabitants 494.4 5.1 39.8 102.9 346.6 3,846.3 707.3 2,868.1 271.0 Santa Fe, NM M.S.A. 135,943 (Includes Santa Fe County.) City of Santa Fe 65,814 387 9 40 104 234 4,671 2,301 2,137 233 Total area actually reporting 98.0% 657 9 79 120 449 5,685 2,808 2,583 294 Estimated total 100.0% 674 9 80 121 464 5,794 2,829 2,662 303 Rate per 100,000 inhabitants 495.8 6.6 58.8 89.0 341.3 4,262.1 2,081.0 1,958.2 222.9 See footnotes at end of table. OFFENSES REPORTED 121 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robben' Aggravated assault Burglary Larceny- theft Motor vehicle theft Santa Rosa-Petaluma CA M.S.A. 473,300 (Includes Sonoma County ) City of: Saints. Rosa 155,099 998 2 84 133 779 5 878 1,080 4,069 729 Petaluma 55,832 1 1 1 1 2() 21 69 1 174 240 815 1 19 Total area actually reporting 100.0% 2,259 9 208 256 1,786 14,283 2,965 9,679 1,639 Rate per 100,000 inhabitants 477.3 1.9 43.9 54.1 377.4 3,017.7 626.5 2,045.0 346.3 Sarasota-Bradenton- Venice FL M.S. A. 631,487 (Includes Manatee and Sarasota Counties ) City of: Sarasota 54,297 566 5 31 199 331 3,987 903 2,826 258 B rade nt o n 52,304 455 7 29 162 257 3,320 894 2,073 353 Ven ice 18,941 37 o 1 5 31 528 78 436 14 Total area actually reporting 100.0% 3,940 28 197 885 2,830 28,215 6,839 19,477 1,899 Rate per 1 00,000 inhabitants 623.9 4.4 31.2 140.1 448.1 4,468.0 1,083.0 3,084.3 300.7 Savannah, GA M.S.A. 304,146 (Includes Bryan Chatham and Effingham Counties ) City of Savannah 129,547 1,073 28 42 603 400 9,241 2,135 5,782 1,324 Total area actually reporting 98.4% 1 671 36 77 726 832 15,626 3,620 10,153 1,853 Estimated total 100.0% 1,695 36 78 734 847 15,894 3,664 10,350 1,880 Rate per 100,000 inhabitants 557.3 1 1 .8 25.6 241.3 278.5 5,225.8 1,204.7 3,403.0 618.1 Scranton-Wilkes-Barre, PA M.S.A. 554,517 (Includes Lackawanna, Luzeine, and Wyomins Counties.) City of: Scranton 74,896 263 2 37 92 132 2,260 528 1,547 185 Wi 1 Ice s ~ B arr e 42 124 148 2 1 5 92 39 2 119 406 1,579 1 34 Total area actually reporting 79.4% 1,165 25 1 17 312 7 1 1 10,979 2,130 8,062 787 Estimated total 100.0% 1,423 27 136 378 882 13,403 2,479 9,958 966 JXtlLC UCI 1 \J\.J i\.J\.J\J till U1U1 till 11:1 256.6 4 9 24.5 68.2 159.1 2 417 1 447.1 1,795.8 174.2 Seattle-Tacoma-Bellevue, WA M.S.A. 3,157,999 (Includes the IVletropohtan Divisions of Seattle~B ellevue-Everett and Tacoma ) City of: Seattle 576,296 3,946 34 174 1,509 2,229 46,306 8,536 28,718 9,052 Tacoma 199,586 2,154 1 3 149 739 1,253 16,058 3,028 10,096 2,934 Dal 1 ai/iio OC11C V LIC 1 14 056 1 64 o 28 68 68 4 319 518 3,213 588 Everett 98,087 546 2 77 168 299 6,406 981 3,846 1,579 Kent 82,565 317 12 34 146 125 5,157 1,109 2,919 1,129 Ren ton 53,723 279 1 27 89 162 4,335 642 2,822 87 ! Total area actually reporting 100.0% 12,937 1 10 1,335 4,151 7,341 159,438 29,569 100,330 29,539 Rate per 100,000 inhabitants 409.7 3.5 42.3 131.4 232.5 5,048.7 936.3 3,177.0 935.4 Seattle-Bellevue-Everett WA M.D. 2,418,182 (Includes Kin*-* and Snohomish Counties ) Total area actually reporting 100.0% 8,758 84 990 2,986 4,698 121,618 21,951 76,073 23,594 Rate per 100,000 inhabitants 362.2 3.5 40.9 123.5 194.3 5,029.3 907.7 3,145.9 975.7 Tacoma, WA M.D. 739,817 (Includes Pierce County.) Total area actually reporting 100.0% 4,179 26 345 1,165 2,643 37,820 7,618 24,257 5,945 Rate per 100,000 inhabitants 564.9 3.5 46.6 157.5 357.3 5,112.1 1,029.7 3,278.8 803.6 Sheboygan, WI M.S.A. 113 123 (Includes Sheboygan County.) City of Sheboygan 49,729 76 2 34 12 28 2,344 270 1,982 92 Total area actually reporting 100.0% 111 2 40 13 56 3,342 378 2,831 133 Rate per 100,000 inhabitants 98.1 1.8 35.4 1 1.5 49.5 2,954.3 334.1 2,502.6 117.6 Sherman-Denison, TX M.S.A. 115,630 (Includes Grayson County.) City of: Sherman 36,344 168 1 2 33 132 2,056 386 1,598 72 Denison 23,529 90 1 1 21 67 1,241 237 928 76 Total area actually reporting 100.0% 339 3 18 59 259 4,590 1,008 3,337 245 Rate per 100,000 inhabitants 293.2 2.6 15.6 5 1 .0 224.0 3,969.6 871.7 2,885.9 211.9 See footnotes at end of table. 122 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Shreveport-Bossier City, LA M.S. A. 379,039 (Includes Bossier Caddo and De Soto Parishes. ) City of' S hr e vep ort 199,641 2,056 42 1 12 689 1,213 14.905 3,595 9,745 1,565 Bossier City 57,331 476 4 31 97 344 3,491 644 2,517 330 Total area actually reporting 100.0% 2,941 55 171 806 1,909 21,618 4,939 14,617 2,062 Rate per 100,000 inhabitants 775.9 14.5 45 i 212.6 503.6 5.703.4 1,303.0 3,856.3 544.0 Sioux City, IA-NE-SD M.S.A. 143,270 (Includes Woodbury County, IA^ Dakota and Dixon Counties NE' and Union County SD } City of Sioux City, IA 84,340 357 1 43 49 264 4.556 967 3,227 362 Total area actually reportm ,T 99.4% 437 1 48 52 336 5,220 1,132 3,685 403 Estimated total 100.0% 438 1 48 52 337 5,231 1,134 3,693 404 Rate per 1 00,000 inhabitants 305.7 0.7 33.5 36.3 235.2 3,651.1 791.5 2,577.7 282.0 Sioux Falls, SD M.S.A. 195,488 (Includes Lincoln McCook IVlinnehaha and Turner Counties ) City of Sioux Falls 131,048 392 3 104 40 245 4.023 770 2,997 256 Total area actually reporting 95.6% 442 3 1 13 42 284 4,509 935 3,273 301 Estimated total 100.0% 459 3 120 42 294 4,687 964 3,412 3 1 1 Rate per 1 00,000 inhabitants 234.8 1.5 61.4 21.5 150.4 2,397.6 493.1 1,745.4 159.1 South Bend-Mishawaka, IN-MI M.S.A. 320,141 (Includes St. Joseph County, IN and Cass County, MI.) City of: South Bend, IN 107,191 768 16 78 324 350 6,853 1,716 4,596 541 Mishawaka IN 48,551 314 2 12 57 243 3,986 507 3,307 172 Total area actually reporting 97.3% 1,340 20 121 435 764 14,611 3,138 10,529 944 Estimated total 100.0% 1,363 20 124 440 779 14,880 3,183 10,721 976 Rate per 100,000 inhabitants 425.7 6.2 38.7 137.4 243.3 4,648.0 994.2 3,348.8 304.9 Spartanburg, SC M.S.A. 261,846 (Includes Spartanbur*-* County ) City of Spartanburg 39,448 821 6 31 185 599 3,777 754 2,679 344 Total area actually reporting 100.0% 1,963 21 1 15 385 1,442 11,271 2,679 7,583 1,009 Rate per 100,000 inhabitants 749.7 8.0 43.9 147.0 550.7 4.304.4 1,023.1 2,896.0 385.3 Spokane, WA M.S.A. 431,905 (Includes Spokane County.) City of Spokane 198,325 1,161 13 84 354 710 15.906 3,053 1 1,260 1,593 Total area actually reportin* 1 98.9% 1,638 16 141 458 1,023 23.718 4,668 16,805 2,245 Estimated total 100.0% 1,651 16 143 462 1,030 23,942 4,705 16,960 2,277 Rate per 100,000 inhabitants 382.3 3.7 33 1 107.0 238.5 5,543.3 1,089.4 3,926.8 527.2 Springfield, MA M.S.A. 677,488 (Includes Franklin, Hampden, and Hampshire Counties ) City of Springfield 152,048 2,914 15 1 15 847 1,937 11,628 2,647 6,414 2,567 Total area actually reporting 94.4% 4,972 24 3 1 6 1,179 3,453 24,948 5,896 15,037 4,015 Estimated total 100.0% 5,063 23 321 1,194 3,525 25,512 6,024 15,400 4,088 Rate per 100,000 inhabitants 747.3 3.4 47.4 176.2 520.3 3,765.7 889.2 2,273.1 603.4 Springfield, MO M.S.A. 380,857 (Includes Chn stian Dallas Greene Polk and Webster Counties.) City of Springfield 151,859 1,038 6 73 171 788 12,351 1,833 9,754 764 Total area actually reportmu 100.0% 1,422 10 97 188 1,127 17,333 2,977 13,262 1,094 Rate per 100,000 inhabitants 373.4 2.6 25.5 49.4 295.9 4,551.1 781.7 3,482.1 287.2 Springfield, OH M.S.A. 143,598 (Includes Clark County.) City of Springfield 64,214 558 5 74 285 194 6,253 1,573 4,022 658 Total area actually reporting 99.8% 643 8 89 318 228 8,687 2,189 5,688 810 Estimated total 100.0% 643 8 89 318 228 8,696 2,190 5,695 811 Rate per 100,000 inhabitants 447.8 5.6 62.0 221.5 158.8 6,055.8 1,525.1 3,965.9 564.8 State College, PA M.S.A. 138,865 (Includes Centre County.) City of State College 51,741 48 0 17 8 23 1,029 108 902 19 Total area actually reporting 100.0% 215 1 37 18 159 2,853 362 2,421 70 Rate per 100,000 inhabitants 154.8 0.7 26.6 13.0 114.5 2,054.5 260.7 1,743.4 50.4 See footnotes at end of table. OFFENSES REPORTED 123 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle Metropolitan Statistical Area Population crime slaughter rape Robbery assault crime Burglary theft theft St. Joseph, MO-KS M.S.A. 122,494 (Includes Doniphan County, KS and Andrew, Buchanan, and De Kalb Counties, MO.) City of St. Joseph, MO 73,559 167 i 16 68 82 4,907 924 3,729 254 Total area actually reporting 100.0% 248 i 27 72 148 5,863 1,201 4,342 320 Rate per 100,000 inhabitants 202.5 0,8 22.0 58.8 120.8 4,786.4 980.5 3,544.7 261.2 St. Louis, MO IL M.S.A. 2,744,792 (Includes Bond, Calhoun, Clinton, Jersey, Macoupin, Madison, Monroe, and St. Clair Counties, IL and Franklin, Jefferson, Lincoln, St. Charles, St. Louis, Warren, and Washington Counties and St. Louis City, MO.) City of: St. Louis, MO 340,256 6,325 73 75 2,303 3,874 40,310 5,889 23,747 10,674 St. Charles, MO 61,097 193 0 15 35 143 2,016 238 1,577 201 Total area actually reporting 75.2% 10,958 113 343 3,200 7,302 92,049 13,278 62,351 16,420 Estimated total 100.0% 13,058 152 343 3,842 8,721 107,088 16,093 73,525 17,470 Rate per 100,000 inhabitants 475.7 5.5 12.5 140.0 317.7 3,901.5 586.3 2,678.7 636.5 Stockton, CA M.S.A. 620,747 (Includes San Joaquin County.) City of Stockton 265,593 3,625 37 155 1,208 2,225 18,779 3,125 11,791 3,863 Total area actually reporting 100.0% 5,381 211 1,546 3,566 35,400 6,441 22,140 6,819 Rate per 100,000 inhabitants 866.9 9.3 34.0 249.1 574.5 5,702.8 1,037.6 3,566.7 1,098.5 Sumter, SC M.S.A. 106,222 (Includes Sumter County.) City of Sumter 39,765 722 5 26 168 523 3,014 793 1,931 290 Total area actually reporting 99.0% 1,247 12 46 230 959 5,679 1,812 3,257 610 Estimated total 100.0% 1,253 12 46 231 964 5,729 1,820 3,296 613 Rate per 100,000 inhabitants 1,179.6 11.3 43.3 217.5 907.5 5,393.4 1,713.4 3,102.9 577.1 Syracuse, NY M.S.A. 654,609 (Includes Madison, Onondaga, and Oswego Counties.) City of Syracuse 145,411 1,383 17 44 477 845 7,773 1,975 4,612 1,186 Total area actually reporting 98.4% 1,992 25 108 622 1,237 17,843 3,940 12,449 1,454 Estimated total 100.0% 2,012 25 109 629 1,249 18,068 3,973 12,626 1,469 Rate per 100,000 inhabitants 307.4 3.8 16.7 96. 1 190.8 2,760.1 606.9 1,928.8 224.4 Tallahassee, FL M.S.A. 333,871 (Includes Gadsden, Jefferson, Leon, and Wakulla Counties.) City of Tallahassee 158,011 1,412 4 155 342 911 9,338 2,223 6,413 702 Total area actually reporting 99.4% 2,391 12 237 459 1,683 14,604 3,811 9,727 1,066 Estimated total 100.0% 2,402 12 238 462 1,690 14,691 3,829 9,788 1,074 Rate per 100,000 inhabitants 719.4 3.6 71.3 138.4 506.2 4,400.2 1,146.9 2,931.7 321.7 Tampa-St. Petersburg- Clearwater, FL M.S.A. 2,535,878 (Includes Hernando, Hillsborough, Pasco, and Pinellas Counties. ) City of: Tampa 320,908 5,733 41 222 1,769 3,701 28,449 6,390 16,715 5,344 St. Petersburg 253,095 4,054 22 106 1,198 2,728 16,431 3,852 10,583 1,996 Clearwater 110,296 1,162 4 53 253 852 5,572 1,055 4,037 480 Largo 71,943 342 4 30 60 248 2,754 517 2,051 186 Total area actually reporting 100.0% 21,904 134 1,217 5,136 15,417 124,471 28,062 81,575 14,834 Rate per 100,000 inhabitants 863.8 5.3 48.0 202.5 608.0 4,908.4 1,106.6 3,216.8 585.0 Toledo, OH M.S.A. 660,354 (Includes Fulton, Lucas, Ottawa, and Wood Counties.) City of Toledo 309,499 3,182 21 152 1,354 1,655 23,159 5,664 14,383 3,112 Total area actually reporting 93.5% 3,512 22 194 1,459 1,837 32,695 7,060 22,050 3,585 Estimated total 100.0% 3,563 22 204 1,477 1,860 33,698 7,281 22,760 3,657 Rate per 100,000 inhabitants 539.6 3.3 30.9 223.7 281.7 5,103.0 1,102.6 3,446.6 553.8 Topeka, KS M.S.A. 226,430 (Includes Jackson, Jefferson, Osage, Shawnee, and Wabaunsee Counties.) City of Topeka 122,446 728 16 52 298 362 9,208 1,518 7,183 507 Total area actually reporting 97.8% 975 18 77 310 570 11,346 2,040 8,634 672 Estimated total 100.0% 991 18 79 313 581 11,530 2,073 8,770 687 Rate per 100,000 inhabitants 437.7 7.9 34.9 138.2 256.6 5,092.1 915.5 3,873.2 303.4 See footnotes at end of table. 124 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Trenton-Ewing, NJ M.S.A. 361,476 (Includes IVlercer County ) City of: Trenton 86,130 1,518 13 36 645 824 4,611 1,073 2,514 1,090 Ewing Township 36,355 120 () 14 55 5 i 1.078 178 772 128 Total area actually report i nil 100.0% 1,942 16 64 843 1,019 10,499 2,095 6,757 1,647 Rate per 100,000 inhabitants 537.2 4.4 1 7.7 233.2 281.9 2,904.5 579.6 1,869.3 455.6 Tucson AZ M.S.A. 901,305 (Includes Pima County.) City of Tucson 514,618 4,709 47 330 1,478 2,854 47,298 6,397 34,542 6,359 Total area actually reporting 100.0% 5,759 75 419 1,692 3,573 63,640 9,231 45,965 8,444 Rate per 100,000 inhabitants 639.0 8.3 46.5 187.7 396.4 7.060.9 1,024.2 5,099.8 936.9 Tulsa, OK M.S.A. 882,386 (Includes Cieek, Okmulgee, Osage, Pawnee, Rogers Tulsa and ^Vagoner Counties ) City of Tulsa 393,907 4,304 61 272 891 3,080 27.253 6,403 17,343 3,507 Total area actually reportiniz 100.0% 5,592 76 387 1,023 4,106 39,668 9,447 25,493 4,728 Rate per 100,000 inhabitants 633.7 8.6 43.9 115.9 465.3 4,495.5 1,070.6 2,889.1 535.8 Tuscaloosa AL M.S.A. 194,229 (Includes Greene Hale and Tuscaloosa Counties ) City of Tuscaloosa 79,400 555 7 50 222 276 5.063 999 3,809 255 Total area actually reportinu 98.6% 1,021 9 77 268 667 8,692 1,893 6,208 591 Estimated total 100.0% 1,031 9 78 271 673 8,810 1,916 6,295 599 Rate per 100,000 inhabitants 530.8 4.6 40.2 139.5 346.5 4.535.9 986.5 3,241.0 308.4 Tvlpr TY MSA 184 258 (Includes Smith County.) City of Tyler 88 383 7 1 7 g 40 147 52^ 5 280 994 4,019 267 Total area actually reportin* 1 98.9% 1,210 15 87 175 933 7.749 1,758 5,523 468 Estimated total 100.0% 1,217 15 88 177 937 7,835 1,775 5,586 474 Rate per 100,000 inhabitants 660.5 8.1 47.8 96. 1 508.5 4,252.2 963.3 3,031.6 257.2 Utica-Rome NY M.S.A. 299,215 (Includes Herkimer and Oneida Counties ) City of: Utica 60,049 409 7 43 186 173 2,280 744 1,392 144 34,768 5 I 0 5 23 23 746 200 504 42 Total area actually reportiniz 96.7% 950 9 1 12 235 594 6,907 1,705 4,893 309 Estimated total 100.0% 968 9 1 13 241 605 7,113 1,735 5,055 323 Rate per 100,000 inhabitants 323.5 3.0 37.8 80.5 202.2 2.377.2 579.9 1,689.4 107.9 VnlHnsta C.A M S A 121 843 (Includes Brooks Echols Lanier and Lowndes Counties.) City of Valdosta 45,357 298 3 24 101 170 3.238 600 2,489 149 Total area actually reportiniz 100.0% 630 3 47 131 449 5,212 1,040 3,917 255 Rate per 100,000 inhabitants 517.1 2.5 38.6 107.5 368.5 4,277.6 853.6 3,214.8 209.3 Vallejo-Fairfield, CA M.S.A. 415,385 (Includes Solano County.) City of: Vallejo 121,055 997 6 42 339 610 5,817 1,021 3,631 1,165 Fairfield 103,004 621 12 36 177 396 4.752 660 3,394 698 Total area actually reporting 100.0% 2,226 20 133 644 1,429 15,603 2,701 10,343 2,559 Rate per 100,000 inhabitants 535.9 4.8 32.0 155.0 344.0 3,756.3 650.2 2,490.0 616.1 Vera Beach, FL M.S.A. 120,167 (Includes Indian River County.) City of Vero Beach 17,660 93 1 5 32 55 734 130 572 32 Total area actually reporting 100.0% 451 5 63 79 304 4,282 935 3,127 220 Rate per 100,000 inhabitants 375.3 4.2 52.4 65.7 253.0 3,563.4 778.1 2,602.2 183.1 Victoria, TX M.S.A. 114,352 (Includes Calhoun, Goliad, and Victoria Counties.) City of Victoria 61,980 526 8 46 111 361 4,345 850 3,290 205 Total area actually reporting 100.0% 664 29 73 116 446 5,681 1,207 4,193 281 Rate per 100,000 inhabitants 580.7 25.4 63.8 101.4 390.0 4,968.0 1,055.5 3,666.7 245.7 See footnotes at end of table. OFFENSES REPORTED 125 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Metropolitan Statistical Area Population Vineland-Millville-Bridgeton, NJ M.S.A. 148,595 (Includes Cumberland County.) City of: Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Virginia Beach-Norfolk-Newport News, VA-NC M.S.A. 1 (Includes Currituck County, NC and Gloucester, Isle of Wight, James City, Mathews, Surry, and York Counties and Chesapeake, Hampton, Newport News, Norfolk, Poquoson, Portsmouth, Suffolk, Virginia Beach, and Williamsburg Cities, VA.) City of: 1,633,403 Washingtoii-Arlington-Alexandria, DC-VA-MD-WV M.S.A. (Includes the Metropolitan Divisions of Bethesda-Frede ric k-Gaithers burg, MD and Washington- Arlington- Alexandria, DC-VA- MD-WV.) City of: 5,067,631 Motor Larceny- vehicle theft theft Vineland 56,655 416 4 16 169 227 3,039 747 2,127 165 Mfflville 27,068 229 3 28 77 121 1,480 382 1,017 81 Bridgeton 22,780 385 6 21 125 233 1,032 320 613 99 Total area actually reporting 100.0% 1,148 17 67 377 687 6,327 1,695 4,167 465 Rate per 100,000 inhabitants 772.6 11.4 45.1 253.7 462.3 4,257.9 1,140.7 2,804.3 312.9 Virginia Beach, VA 439,454 928 24 119 408 377 14,564 2,138 11,621 805 Norfolk, VA 242,077 1,383 40 86 717 540 13,854 1,784 10,632 1,438 Newport News, VA 1 182,565 1,253 27 94 389 743 5,489 980 Hampton, VA 147,777 599 10 56 246 287 5,115 896 3,659 560 Portsmouth, VA 101,060 901 18 43 403 437 5,002 1,179 3,323 500 Total area actually reporting 100.0% 7,104 130 560 2,646 3,768 45,727 5,289 Rate per 100,000 inhabitants 434.9 8.0 34.3 162.0 230.7 2,799.5 323.8 Visalia-Porterville, CA M.S.A. 1 385,777 (Includes Tulare County.) City of: Visalia 97,906 789 9 47 144 589 5,857 1,080 3,971 806 Porterville 41,742 237 1 12 54 170 2,068 430 1,272 366 Total area actually reporting 100.0% 2,566 30 130 381 2,025 4,041 10,999 Rate per 100,000 inhabitants 665.2 7.8 33.7 98.8 524.9 1,047.5 2,851.1 Waco, TX M.S.A. 221,098 (Includes McLennan County.) City of Waco 1 17,549 809 14 40 215 540 8,773 2,176 5,990 607 Total area actually reporting 100.0% 1,191 18 83 238 852 12,392 3,085 8,490 817 Rate per 100,000 inhabitants 538.7 8.1 37.5 107.6 385.3 5,604.8 1,395.3 3,839.9 369.5 Warner Robins, GA M.S.A. 118,465 (Includes Houston County.) City of Warner Robins 53,242 212 5 20 79 108 3,471 724 2,563 184 Total area actually reporting 100.0% 329 7 28 102 192 5,544 1,110 4,124 310 Rate per 100,000 inhabitants 277.7 5.9 23.6 86.1 162.1 4,679.9 937.0 3,481.2 261.7 Washington, D.C. 563,384 8,839 248 273 3,836 4,482 31,581 4,670 17,362 9,549 Alexandria, VA 132,468 405 3 25 169 208 4,292 429 3,253 610 Frederick, MD 56,585 568 4 21 91 452 1,785 319 1,369 97 Total area actually reporting 99.2% 24,565 460 1,094 10,627 12,384 169,696 23,057 109,939 36,700 Estimated total 100.0% 24,683 461 1,105 10,665 12,452 171,043 23,181 111,015 36,847 Rate per 100,000 inhabitants 487.1 9.1 21.8 210.5 245.7 3,375.2 457.4 2,190.7 727.1 Bethesda-Frederick-Gaithersburg, MD M.D. 1,129,694 (Includes Frederick and Montgomery Counties.) Total area actually reporting 100.0% 3,102 28 190 1,194 1,690 30,391 5,038 21,437 3,916 Rate per 100,000 inhabitants 274.6 2.5 16.8 105.7 149.6 2,690.2 446.0 1,897.6 346.6 See footnotes at end of table. 126 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003- -Continued Violent crime Properly crime Metropolitan Statistical Area Population Washington-Arlington- Alexandria, DC-VA-MD-WV M.D. 3,937,937 (Includes District of Columbia, Calvert, Charles, and Prince George's Counties, MD; Arlington, Clarke, Fairfax, Fauquier, Loudoun, Prince William, Spotsylvania, Stafford, and Warren Counties and Alexandria, Fairfax, Falls Church, Fredericksburg, Manassas, and Manassas Park Cities, VA; and Jefferson County, WV.) Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Motor Larceny- vehicle theft theft Total area actually reporting yy.uvo 7 1 Af^l Z 1 ,40 J 4.3Z on i Q A'X'X i n i o Ofi.JUZ 10 1QA JZ, /04 Estimated total i nn ncy 21,58 1 433 9 1 5 9,47 1 1 0.762 140,652 18,143 89,578 32,93 1 Kate per iuu,uuu mnaDitants J45.U 1 I ,u LJ.L Z4U. J Z t J.J 3,571 .7 40U. / 2,274.7 81 A 1 OJO.J Waterloo- ceaar rails, ia ivi.s.a. 163,497 (Includes Black Hawk, Bremer, and Grundy Counties.) City of' Waterloo 67 910 4 47 93 1 82 3 707 1)11 2 543 Leaar rails 36,75 1 1 1 4 2 1 3 5 94 973 1 38 S( 12 33 Total area actually reporting i nn ncz. 1711 4 l\J 7 DO vo TOO Zvy J,J>U4 1 , 1 OJ J.SZO "JO'S Zvj Rate per 100,000 inhabitants 287.5 4.3 40.4 59.9 182.9 3,244.1 723.6 2,340.1 180.4 \\ ..... .... WU C A vvausau, wi ivi.s.a. 127,452 (Includes Marathon County.) City of Wausau 37,948 1 49 1 20 27 101 1 ,703 344 1,265 94 Total area actually reporting i nn ncy 1 98 1 24 35 1 38 3,006 697 2, 162 1 47 Kate per 1UU,UUU mnabitants 155.4 0.8 1 8.8 27.5 1 08.3 2,358.5 546.9 1 ,696.3 1 15.3 \\ , ln ,,j„|„„ L XXI \ \/l C A weiitiicnee, wa ivi.s.a. (Includes Chelan and Douglas Counties.) City of Wenatchee 28,559 1 04 0 28 22 54 1 ,809 365 1,361 83 Total area actually reporting i nn ncz. i on 4 jy ^ 7; J J O 1 V4 4, 1 JJ 0 J 1 j, i4y 1 / J D rite, nar 1 nn Ann InUnliltnntr Kate per ! uu,uuvj mnaoitants 1 87.2 J.V s V 1 5Z. J vz.o A AQ1 Q 4,uyj.y o lo.o 3,1UZ. / 1 "70 A 1 /Z.4 Wichita k"*v YT G A 1 3oJ,UUo (Includes Butler, Harvey, Sedgwick, and Sumner Counties.) City of Wichita 1 356,123 2.227 1 8 2 1 6 5 5 6 1 ,437 19,5 1 8 3.825 1 4.284 1 ,409 Total area actually reporting 98.7% 2,722 23 276 581 1,842 25,447 4,980 1 8 780 1,687 Estimated total 100.0% 2,746 23 278 586 1,859 25,735 5,031 18,994 1,710 Rate per 100,000 inhabitants 471.0 3.9 47.7 100.5 318.9 4,414.2 862.9 3,257.9 293.3 Wichita Falls, TX M.S.A. 152,694 (Includes Archer, Clay, and Wichita Counties.) City of Wichita Falls 104,526 1,082 8 49 199 826 7,507 1,719 5,208 580 Total area actually reporting 100.0% 1,167 9 53 205 900 8,535 2,063 5,816 656 Rate per 100,000 inhabitants 764.3 5.9 34.7 134.3 589.4 5,589.6 1,351.1 3,808.9 429.6 Williamsport, PA M.S.A. 119,293 (Includes Lycoming County.) City of Williamsport 30,158 116 0 11 61 44 1,418 298 1,048 72 Total area actually reporting 93.8% 193 1 27 75 90 2,650 581 1,926 143 Estimated total 100.0% 209 1 28 79 101 2,808 604 2,049 155 Rate per 100,000 inhabitants 175.2 0.8 23.5 66.2 84.7 2,353.9 506.3 1,717.6 129.9 Wilmington, NC M.S.A. 290,018 (Includes Brunswick, New Hanover, and Pender Counties.) City of Wilmington 91,593 819 5 30 325 459 7,356 1,855 4,900 601 Total area actually reporting 98.6% 1,224 6 77 420 721 15,247 4,956 9,281 1,010 Estimated total 100.0% 1,240 6 78 425 731 15,468 5,005 9,442 1,021 Rate per 100,000 inhabitants 427.6 2.1 26.9 146.5 252.1 5,333.5 1,725.8 3,255.7 352.0 Winchester, VA-WV M.S.A. 109,442 (Includes Frederick County and Winchester City, VA and Hampshire County, WV.) City of Winchester, VA 24,536 73 0 9 30 34 1,346 168 1,125 53 Total area actually reporting 99.8% 202 3 20 48 131 3,034 556 2,310 168 Estimated total 100.0% 202 3 20 48 131 3,039 557 2,314 168 Rate per 100,000 inhabitants 184.6 2.7 18.3 43.9 119.7 2,776.8 508.9 2,114.4 153.5 See footnotes at end of table. OFFENSES REPORTED 127 Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Winston-Salem, NC M.S.A. 438,524 (Includes Davie Forsyth Stokes unci Yadkin Counties ) City of Winston~Salem 190,912 1,579 1 1 1 18 547 903 13,938 3,957 8,810 1,171 Total area actually reporting 99.2% 2,278 21 174 635 1,448 22,248 6,200 14,466 1,582 Estimated total 100.0% 2,293 21 175 640 1,457 22,447 6,244 14,611 1,592 Rate per 100,000 inhabitants 522.9 4.8 39.9 145.9 332.3 5,1 18.8 1,423.9 3,331.9 363.0 Worcester MA M.S.A. 770,995 (Includes Worcester County ) City of ^^orcester 175,1 15 1,536 7 59 41 1 1,059 7,637 1,548 4,637 1,452 Total area actually reporting 95.4% 3,131 15 197 595 2,324 16,447 3,941 10,340 2,166 Estimated total 1 00 0% 3,241 15 204 614 2,408 17.124 4,088 10 781 2,255 Rate per 100,000 inhabitants 420.4 1.9 26.5 79.6 312.3 2,221.0 530.2 1,398.3 292.5 Yakima, WA M.S.A. 227,136 (Includes Yakima County ) City of Yakima 74 052 430 5 55 141 229 5.967 1 252 4 152 563 Total area actually reporting 99.2% 713 10 137 194 372 13,730 3,418 8,947 1,365 Estimated total 100.0% 718 10 138 195 375 13,823 3,433 9,012 1,378 Rate per 100,000 inhabitants 316.1 4.4 60.8 85.9 165.1 6.085.8 1,51 1.4 3,967.7 606.7 You ngstown- Warren -Boa rdman, OH-PA M.S.A. 597 240 (Includes Mahonin*- T and Trumbull Counties OH and Mercer County, PA.) City of: Youngstown OH 80,128 768 19 60 286 403 4,833 1,763 2,568 502 Warren, OH 47,285 368 32 153 1 77 2,441 715 1,444 282 Boardman OH 41,718 74 1 3 49 21 2,351 319 1,796 236 Total area actually reportm ,T 80.3% 1,643 29 140 591 883 15,989 4,159 10,301 1,529 Estimated total 100.0% 1,866 30 167 664 1,005 19,291 4,715 12,840 1,736 Rate per 100,000 inhabitants 312.4 5.0 28.0 111.2 168.3 3,230.0 789.5 2,149.9 290.7 Yuba City, CA M.S.A. 146 439 (Includes Sutter and Yuba Counties ) Citv nf Yntvi Pitv 47 708 201 o 28 46 1 27 1.969 358 1 409 202 Total area actually reporting 100.0% 676 8 71 1 13 484 5,614 1,454 3,288 872 Rate per 1 00,000 inhabitants 461.6 5.5 48.5 77.2 330.5 3,833.7 992.9 2,245.3 595.5 Yuma, AZ M.S.A. 171,222 (Includes Yuma County.) City of Yuma 82,189 517 1 40 47 429 3,631 588 2,538 505 Total area actually reporting 89.4% 895 4 43 61 787 5,210 1,187 3,299 724 Estimated total 100.0% 965 4 49 76 836 6,163 1,394 3,892 877 Rate per 100,000 inhabitants 563.6 2.3 28.6 44.4 488.3 3,599.4 814.1 2,273.1 512.2 Aguadilla-Isabela-San Sebastian, Puerto Rico M.S. A. 321,318 (Includes Aguada, Aguadilla, Anasco, Isabela, Lares Moca. Rincon and San Sebastian Municipios.) Total area actually reporting 100.0% 337 19 180 132 3,225 1,252 1,714 259 Rate per 100,000 inhabitants 104.9 5.9 1 .9 56.0 41.1 1,003.7 389.6 533.4 80.6 Fajardo, Puerto Rico M.S.A. 80,032 (Includes Ceiba, Eajardo, and Lucjuillo Municipios.) Total area actually reporting 100.0% 185 17 8 104 56 1,433 502 812 1 19 Rate per 100,000 inhabitants 231.2 21.2 10.0 129.9 70.0 1,790.5 627.2 1,014.6 148.7 Guayama, Puerto Rico M.S.A. 84,565 (Includes Arroyo, Guayama, and Patillas Municipios.) Total area actually reporting 100.0% 177 18 2 84 73 676 405 191 80 Rate per 100,000 inhabitants 209.3 21.3 2.4 99.3 86.3 799.4 478.9 225.9 94.6 Mayaguez, Puerto Rico M.S.A. 115,307 (Includes Hormigueros and Mayaguez Municipios.) Total area actually reporting 100.0% 198 10 8 109 71 3,229 830 2,242 157 Rate per 100,000 inhabitants 171.7 8.7 6.9 94.5 61.6 2,800.4 719.8 1,944.4 136.2 See footnotes at end of table. 128 CRIME IN THE UNITED STATES Table 6 Crime in the United States by Metropolitan Statistical Area, 2003 — Continued Metropolitan Statistical Area Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft Ponce, Puerto Rico M.S.A. 267,587 (Includes Juana Diaz Ponce and Villalba Municipios. ) Total area actually reporting 100.0% 783 60 28 457 238 5,849 1,380 3,922 547 Rate per 1 00,000 inhabitants 292.6 22.4 10.5 170.8 88.9 2,185.8 515.7 1,465.7 204.4 San German-Cabo Rojo, Puerto Rico M.S.A. 139 876 (Includes Cabo Rojo, Lajas, Sabana Grande, and San German Municipios.) Total area actually reporting 100.0% 1 12 4 62 40 1.208 407 753 48 Rate per 100,000 inhabitants 80. 1 4.3 2.9 44.3 28.6 863.6 291.0 538.3 34.3 San Juan-Caguas-Guaynabo, Puerto Rico M.S.A. 2,554,433 (Includes Aguas Buenas, Aibonito, Arecibo, Barceloneta, Barranquitas, Bay anion, Caguas, Caniuy, Canovanas, Carolina, Catano, Cayey, Ciales, Cidra, Comerio, Corozal, Dorado, Florida, Guaynabo, Gurabo, Hatillo, Humacao, Juncos, Las Piedras, Loiza, Manati, Maunabo, Morovis, Naguabo, Naranjito, Orocovis, Quebradillas, Rio Grande, San Juan, San Lorenzo, Toa Alta, Toa Baja, Trujillo Alto, Vega Alta, Vega Baja, and Yabucoa Municipios.) Total area actually reporting 100.0% 9,569 616 133 6,495 2,325 51,137 14,595 25,771 10,771 Rate per 100,000 inhabitants 374.6 24.1 5.2 254.3 91.0 2,001.9 571.4 1,008.9 421.7 Yauco, Puerto Rico M.S.A. 120,750 (Includes Guanica, Guayanilla, Penuelas, and Yauco Municipios. ) Total area actually reporting 100.0% 253 10 11 145 87 1,495 598 815 82 Rate per 100,000 inhabitants 209.5 8.3 9.1 120.1 72.0 1,238.1 495.2 674.9 67.9 1 Due to changes in reporting practices, annexations, and/or incomplete data, figures are not comparable to previous years' data. 2 The population for the city of Mobile, Alabama, includes 55,864 inhabitants from the jurisdiction of the Mobile County Sheriff's Department. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Due to rounding, the estimated totals of the individual Metropolitan Divisions may not add to the estimated totals of their Metropolitan Statistical Area. OFFENSES REPORTED 129 Table 7 Offense Analysis United States, 1999-2003 Classification 1999 2000 2007' 2002 2 2005 Murder 15,522 15,586 16,037 16,229 16,503 Forcible rape 89,411 90,178 90,863 95,235 93,433 Robbery: Total' 409,371 408,016 423,557 420,806 413,402 Street/highway 197,770 187,688 187,571 180,058 179,296 Commercial house 55,678 56,714 61,152 61,312 60,493 Gas or service station 8,844 11,832 12,084 11,254 11,362 Convenience store 24,712 26,113 27,783 27,183 25,774 Residence 49,793 49,778 53,268 56,723 56,641 Bank 8,021 8,568 10,262 9,693 9,504 Miscellaneous 64,552 67,323 71,436 74,584 70,333 Burglary: Total' 2,100,739 2,050,992 2,116,531 2,151,252 2,153,464 Residence (dwelling): 1,394,868 1,337,247 1,380,472 1,415,561 1,417,522 Night 402,548 399,943 410,071 418,094 408,927 Day 612,429 617,349 642,264 673,781 668,334 Unknown 379,891 319,955 328,137 323,687 340,261 Nonresidence (store, office, etc.): 705,871 713,745 736,059 735,691 735,942 Night 296,303 299,445 310,596 312,516 309,990 Day 186,166 219,456 224,538 228,698 221,099 Unknown 223,402 194,844 200,925 194,477 204,853 Larceny-theft (except motor vehicle theft): Total 3 6,955,520 6,971,590 7,092,267 7,057,379 7,021,588 By type: Pocket-picking 43,035 34,858 33,346 32,451 31,943 Purse-snatching 40,377 34,858 38,550 38,896 42,150 Shoplifting 1,002,576 962,079 978,802 986,296 1,012,513 From motor vehicles (except accessories) 1,788,630 1,756,841 1,832,934 1,866,922 1,856,240 Motor vehicle accessories 723,720 676,244 723,419 756,250 780,700 Bicycles 325,683 313,722 291,203 277,003 271,599 From buildings 946,419 913,278 943,631 883,847 867,977 From coin-operated machines 46,479 48,801 52,039 52,374 52,334 All others 2,038,602 2,230,909 2,198,344 2,163,340 2,106,132 By value: Over $200 2,692,746 2,711,949 2,792,231 2,796,465 2,759,703 $50 to $200 1,609,400 1,631,352 1,630,567 1,592,830 1,585,495 Under $50 2,653,374 2,628,289 2,669,469 2,668,084 2,676,390 Motor vehicle theft 1,152,075 1,160,002 1,228,391 1,246,646 1,260,471 1 The murder and nonnegligent homicides that occurred as a result of the events of September 11, 2001, are not included in this table. 2 The 2002 crime figures have been adjusted. 1 Because of rounding, the number of offenses may not add to the total. 130 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft ALABAMA Alabaster 24,956 23 o 2 3 18 202 23 160 19 o Albertville" 17,658 54 1 g g 36 517 69 Alexander City 14,879 108 o 4 17 87 81 1 136 663 12 Anniston 23,868 502 2 28 155 317 3,164 937 2,011 216 Athens 19,612 12 o o 7 5 668 97 546 25 o Auburn 45,533 146 1 22 50 73 1,972 546 1,347 79 Birmingham 240,176 3,347 85 2()4 1,352 1,706 19,574 4,831 11,934 2,809 175 Cullman 14,103 18 o g 5 5 891 111 709 61 2 Daphne 17,285 19 () 3 10 459 74 363 22 Decatur 54,1 12 221 4 1 1 1 17 89 3,957 780 3,001 176 Do th a n 59,185 239 4 38 1 10 87 2,917 670 2,100 147 Enterprise 21,438 66 2 10 18 36 843 180 630 33 Fufailla 13,812 57 1 5 34 16 544 65 454 25 Fairfield 12,106 1 18 5 9 74 30 1,643 252 1,210 18 1 Ftii rh ope 13,520 23 o 3 4 16 494 120 340 34 Florence 35,928 166 () 15 42 109 1,601 304 1,241 56 12 Fort Payne 13,123 31 o 2 3 26 428 81 343 4 Gadsden - 38,087 5 21 78 3,155 580 2,312 263 G ar de n d ale 12,043 30 1 3 17 9 461 64 363 34 Hartselle 12,213 o o 2 4 318 39 267 12 11,438 1 o 1 () 0 43 4 38 1 Homewood 24,861 1 10 o g 62 39 1,525 286 1,138 101 Hoover 64,469 242 o 18 1 13 1 1 1 1,920 310 1,480 130 H uey to w n 15,462 70 2 o 40 28 479 1 12 325 42 Hunts ville 163,052 988 19 84 316 569 9,388 1,740 6,774 874 J aspei 13 968 62 ] g 1 8 i4 8^7 160 638 59 10,826 30 2 4 10 14 406 78 299 29 Madison 32,438 52 1 g 15 28 1,064 166 843 55 Millbrook 11,501 52 1 4 4 43 429 109 300 20 Mobile 3 251,345 1,300 24 1 13 739 424 16,151 3,976 10,855 1,320 Montgomery 202,064 1,307 18 1 15 658 516 16,125 4,092 10,268 1,765 IVlountain Brook 20,215 12 o 1 5 5 404 59 329 16 iVluscle Shoals 12,271 43 () 4 9 30 665 1 12 532 21 N orthport 19,854 144 1 12 22 109 842 13 1 652 59 4 Opelika 23,671 370 5 18 59 288 1,475 3 [ | 1,153 1 1 Oxford 15,260 125 1 4 33 87 1,331 229 1,011 91 Ozark 15,024 70 () 7 57 587 101 437 49 2 Pelham 16,573 15 ] o 9 5 359 32 296 3 | Pell City 10,130 7 1 o 5 9 57 552 68 449 35 Phenix City 28,593 127 2 16 44 65 1,232 321 797 114 Prattville 25,949 100 1 18 28 53 1,308 206 1,044 58 Prichard 28,290 481 6 30 187 258 2,543 824 1,354 365 Saraland 12,454 24 0 0 11 13 583 89 474 20 Scottsboro 14,858 13 1 3 6 3 716 159 530 27 20,054 418 7 34 104 273 2,301 661 1,421 219 Sylacauga 12,685 50 1 1 17 3 1 790 135 641 14 Talladega 15,074 51 0 18 16 17 1,192 224 906 62 Troy 13,877 75 1 1 23 50 1,069 169 837 63 Truss ville 13,903 34 0 1 12 21 709 66 614 29 0 Tuscaloosa 79,400 555 7 50 222 276 5,063 999 3,809 255 Vestavia Hills 25,734 29 0 2 9 18 329 76 219 34 ALASKA Anchorage 271,085 1,744 17 244 340 1,143 11,706 1,418 9,091 1,197 128 Fairbanks 31,021 289 4 42 42 201 1,561 271 1,158 132 13 Juneau 30,991 97 0 36 5 56 1,236 99 1,105 32 2 ARIZONA Apache Junction 34,763 98 1 12 13 72 1,880 432 1,235 213 16 Bullhead City 36,268 215 4 3 21 187 2,021 422 1,433 166 10 Camp Verde 10,006 58 0 3 1 54 436 73 311 52 0 Casa Grande 29,351 281 0 7 42 232 2,665 786 1,578 301 19 See footnotes at end of table. OFFENSES REPORTED 131 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft ARIZONA Continued Chandler 206,620 624 5 58 13 1 430 10,332 1,819 7,006 1 507 54 Cottonwood 10,284 39 o 5 4 30 754 153 536 65 2 Douslas 16,816 44 o 5 4 34 741 120 542 79 10 El Mirage 13,557 123 4 g 21 90 819 272 391 156 6 Flagstaff 56,430 401 1 44 45 3 1 1 4,614 643 3,770 201 13 Gilbert 138,082 172 1 21 40 1 10 5,358 1,609 3,169 580 26 Glendale 235,819 1,270 14 96 463 697 13,642 2,593 7,459 3,590 93 Goodyear 28,367 72 1 g 5 57 1,333 677 474 182 4 Kingman 22,595 105 2 21 76 2,121 341 1,604 176 3 Lake Havasu City 47,465 103 2 9 10 82 1,881 263 1,476 142 7 M-arana 18,495 58 o 5 3 50 1,043 182 732 129 3 436,569 2,346 14 1 16 43 1 1,785 26,127 4,1 12 17,452 4,563 45 No (i ales 21,765 63 o 3 4 56 716 149 422 145 2 Oro Valley 34,436 21 o o 5 16 717 93 578 46 Paradise Valley 14,423 15 o 1 2 12 526 319 177 30 4 Pay son 14,458 31 0 1 2 28 518 66 429 23 6 Peoria 126,048 368 2 50 59 257 5,736 1,026 3,563 1,147 15 Phoenix 1,403,228 9,722 241 526 3,676 5,279 97,823 17,104 55,068 25,651 436 Prescott 37,127 159 1 7 24 127 2,146 413 1,627 106 14 Prescott Valley 26,747 105 () 7 5 93 908 138 702 68 7 Scottsdale 220,697 493 7 62 163 261 9,475 2,315 5,659 1,501 57 Sedona 1 1 ,002 36 o o I 35 323 127 183 13 1 Sierra Vista 39,888 1 17 1 10 18 88 1,782 237 1,423 122 1 1 Tenipe 163,143 1,013 7 74 299 633 14,887 2,430 9,756 2,701 48 Tucson 514,618 4,709 47 330 1,478 2,854 47,298 6,397 34,542 6,359 285 82,189 517 1 40 47 429 3,631 588 2,538 505 35 ARKANSAS 2 Arkadelphia 11,107 35 o 2 5 28 161 79 76 5 1 Benton 23,41 1 105 1 5 g 91 1,504 395 1,019 90 3 Bentonville 24,225 39 1 22 3 13 782 121 630 3 i o Bryant 10,576 14 o o 0 14 404 43 340 21 o Camden 12,697 67 3 10 14 40 699 139 529 31 4 Conway 46, 1 80 81 o 16 1 8 47 2,129 299 1,723 107 2 Fayetteville 61,082 251 o 36 36 1 79 2,895 292 2,464 139 5 Forrest City 14,582 293 1 4 25 263 954 167 748 39 1 Fort Smith 81,989 804 12 74 135 583 7,173 1,111 5,764 298 22 Hot Springs 36,566 392 3 18 80 291 4,391 915 3,246 230 17 Jacksonville 30,558 180 0 16 23 141 1,683 439 1,179 65 1 1 Jonesboro 57,216 332 4 12 107 209 3,377 875 2,359 143 7 Little Rock 185,1 17 2,858 44 129 896 1,789 18,600 4,442 12,743 1,415 120 Magnolia 10,756 145 1 o 16 128 465 128 324 13 4 Maumelle 12,089 9 1 0 3 5 111 80 30 1 0 Mountain Home 11,207 12 0 4 0 8 353 22 317 14 2 North Little Rock 60,353 516 8 41 163 304 5,270 809 3,986 475 25 Paragould 22,739 11 0 6 4 1 350 47 250 53 0 Pine Bluff 54,482 578 16 44 150 368 4,530 1,198 2,930 402 59 Rogers 41,785 68 0 30 7 3 1 1,858 192 1,603 63 g Searcy 19,655 132 1 4 1 1 1 16 924 81 782 61 o Sherwood 22,045 98 1 3 1 1 83 818 94 641 83 3 Siloam Springs 1 1 ,660 24 0 3 2 19 454 44 386 24 0 Sprincdale 51,235 160 o 32 19 109 2,055 281 1,639 135 12 Van Buren 19,891 63 0 5 6 52 873 265 567 41 0 CALIFORNIA Adelanto 19,067 87 1 4 29 53 525 246 177 102 13 Agoura Hills 21,932 60 0 4 9 47 309 75 209 25 6 Alameda 73,692 332 0 7 135 190 2,729 381 2,024 324 35 Albany 16,802 67 0 6 44 17 864 172 529 163 7 Alhambra 88,575 286 5 17 156 108 2,475 443 1,412 620 22 Aliso Viejo 41,022 43 0 1 4 38 483 98 327 58 14 American Canyon 12,279 10 0 1 1 8 347 90 191 66 0 See footnotes at end of table. 132 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CALIFORNIA Continued Anaheim 336,132 1,319 9 76 410 824 10,446 1,971 6,708 1,767 43 Antioch 100,918 714 15 223 470 2,896 626 1,354 916 30 Apple Valley 58,533 204 4 5 78 1 1 7 2,125 529 1,268 328 14 Arcadia 55,480 137 2 5 55 75 1,540 383 987 170 10 Arc at a 16,838 41 o 12 23 753 154 541 58 5 Arroyo Grande 16,461 27 o 3 3 21 379 79 278 22 3 Artesi a 16,931 1 IS 1 3 34 80 343 83 177 83 2 13,797 64 1 3 12 48 670 155 441 74 26 Ata.sca.dero 27,194 66 1 g 4 53 846 182 602 62 10 At water 24,936 164 2 9 29 124 1,106 332 522 152 1 1 Auburn 12,678 39 2 2 2 33 320 72 215 33 2 Ave n al 15,494 36 o 5 3 27 168 76 84 g 13 46,809 1 77 3 I J 74 89 1,469 343 873 253 5 Bakersfield 2 263,707 1,514 24 41 439 1,010 14,102 2,693 9,415 1,994 173 Baldwin Park 78,645 283 5 12 87 179 1,673 288 757 628 10 Banning 25,858 194 2 10 26 156 630 31 1 206 113 o B arstow 22 791 234 2 17 62 153 1,233 328 662 243 g Beaumont 13,413 62 o 5 12 45 479 13 1 260 88 2 Bell 37,751 213 2 g 59 143 588 157 190 241 o B e 11 fl o wer 75,307 480 7 24 219 230 2,531 488 1,370 673 21 Bell Gardens 45,745 298 10 1 1 79 198 1,039 207 353 479 2 Belmont 25,076 38 l 4 g 25 509 13 1 330 48 o Benicia 27,444 38 l 3 g 26 553 169 292 92 g Berkeley 104,727 926 16 402 502 8,695 1,245 6,217 1,233 32 Beverly Hills 35,223 138 o 6 73 59 1,154 302 771 81 4 Blythe 2 1 ,600 164 1 5 20 137 705 222 457 26 17 Brawley 22,071 147 3 5 38 101 1,136 326 700 110 9 Brea 37,41 1 68 0 6 29 33 1,589 241 1,213 135 Brentwood 31,858 53 2 5 g 40 1,259 177 884 198 10 Buena Park 79,844 326 2 21 1 15 1 88 1,945 399 1,172 374 26 3 u rba n k 103,993 283 3 15 69 196 2,694 500 1,728 466 19 B urhngame 28,064 62 o 10 18 34 1,026 1 1 1 813 102 13 Calabasas 20,906 31 o 2 4 25 332 76 225 3 1 2 Calexico 3 1 ,069 58 1 o 33 24 1,050 357 329 364 13 Camaj"illo 60,068 98 1 10 15 72 1,071 224 772 75 43 Campbell 37,867 60 o 9 26 25 1,030 166 783 8 1 25 Canyon .Lake 10,754 25 o 1 1 23 140 3 | 85 24 o Capitola 10,053 74 1 2 16 55 1,077 127 926 24 o Carlsbad 87,548 266 4 14 64 1 84 2,199 496 1,445 258 13 Carpi ntena 14,383 24 o 3 7 14 246 63 164 19 o Carson 93,904 731 12 15 2()7 497 2,685 509 1,453 723 47 Cathedral City 46,781 224 2 16 48 158 1,785 556 849 380 o 37 092 200 o 1 1 44 144 2 234 380 1 330 5~>4 1 ] Cerritos 53,172 199 2 7 97 93 1,972 328 1,261 383 Chico 66,595 265 1 47 63 154 2,622 818 1,378 426 55 Chi no 70 695 24 3 2 1 5 88 1 ^8 2 366 459 1 387 5~>0 47 Chino Hills 73,053 73 1 2 2() 50 1,093 247 673 173 13 Chowchilla 14,460 48 o 3 4 41 329 98 184 47 20 Chula Vista 195,954 776 7 48 249 472 7,106 1,004 3,954 2,148 43 Claremont 35,196 76 o 1 1 29 36 1,108 308 704 96 4 Clayton 11,153 o o o 159 2() 130 9 4 Clear lake 14,1 18 86 1 3 12 70 890 359 433 98 10 Clovis 75,285 162 9 18 42 93 3,042 487 2,144 41 I 24 Coachella 27,463 173 3 g 35 127 945 201 542 202 5 Coalinga 16,219 35 0 1 1 33 408 114 270 24 2 Colton 50,356 220 4 18 90 108 2,320 456 1,306 558 14 Commerce 13,256 146 2 3 59 82 1,089 155 518 416 15 Compton 96,562 1,549 43 41 444 1,021 2,340 548 991 801 136 Concord 126,539 398 4 22 136 236 5,253 882 3,358 1,013 5 Corcoran 21,149 31 0 2 9 20 273 94 164 15 0 Corona 139,777 280 6 33 125 116 4,028 673 2,547 808 35 Coronado 24,112 35 0 5 3 27 600 104 424 72 11 Costa Mesa 111,281 304 1 42 1 12 149 3,586 516 2,665 405 14 Covina 48,523 205 1 16 95 93 2,043 425 1,302 316 8 See footnotes at end of table. OFFENSES REPORTED 133 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued Violent crime Property crime Murder and non- negligent Motor City by state Population Violent crime man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft vehicle theft Arson' CALIFORNIA— Continued Cudahy 25,428 158 2 6 46 104 520 88 223 209 6 Culver City 40,114 181 2 5 131 43 1,176 226 795 155 6 Cupertino 50,530 77 1 8 18 50 1,174 184 954 36 18 Cypress 47,745 74 1 9 27 37 1,051 191 748 1 12 6 Daly City 102,970 344 0 24 154 166 2,172 242 1,490 440 13 Dana Point 36,180 81 1 4 11 65 649 129 448 72 11 Danville 43,012 39 0 0 8 31 645 126 464 55 1 Davis 64,895 191 0 28 23 140 2,247 392 1,631 224 60 Delano 42,534 124 4 14 35 71 2,122 460 1,156 506 52 Desert Hot Springs 17,492 252 0 14 65 173 1,415 625 644 146 0 Diamond Bar 58,527 93 1 2 27 63 900 225 518 157 10 Dinuba 17,772 134 0 8 14 112 1,049 226 686 137 12 Dixon 16,432 44 0 1 7 36 653 118 480 55 17 Downey 2 110,992 505 7 25 216 257 3,576 588 1,819 1,169 4 Duarte 22,304 93 0 8 35 50 449 95 282 72 2 Dublin 34,705 84 0 5 18 61 675 129 417 129 2 East Palo Alto 32,042 312 9 19 97 187 1,159 339 600 220 5 El Cajon 96,558 556 5 43 154 354 4,339 887 2,300 1,152 25 El Centro 38,079 325 0 7 52 266 1,675 584 893 198 4 El Cerrito 23,760 156 0 4 107 45 1,639 264 954 421 3 El Monte 121,176 730 3 24 217 486 3,192 651 1,586 955 24 El Segundo 16,557 43 0 1 27 15 679 146 431 102 0 Encinitas 60,423 150 0 10 40 100 1,377 329 804 244 7 Escondido 137,334 591 5 46 161 379 5,054 963 3,094 997 32 Eureka 26,137 186 1 25 59 101 2,043 421 1,352 270 34 Fairfield 103,004 621 12 36 177 396 4,752 660 3,394 698 41 Fillmore 15,076 70 2 3 7 58 218 56 133 29 2 Folsom 61,899 1 19 0 16 24 79 1,638 360 1,131 147 16 Fontana 145,114 897 18 51 263 565 3,547 745 1,405 1,397 38 Fortuna 10,813 28 0 3 7 18 543 83 430 30 5 Foster City 29,500 46 0 3 6 37 513 99 379 35 8 Fountain Valley 56,136 108 0 9 43 56 1,449 254 1,037 158 6 Fremont 209,026 433 2 34 140 257 5,693 1,059 3,876 758 12 Fresno 449,898 3,505 37 164 1,215 2,089 27,196 3,927 17,608 5,661 602 Fullerton 130,194 363 5 37 120 201 4,599 784 3,222 593 46 Gait 22,555 58 2 7 11 38 925 204 547 174 7 Gardena 60,283 527 3 17 269 238 1,683 396 850 437 3 Garden Grove 169,186 732 6 27 211 488 4,602 754 2,814 1,034 37 Gilroy 43,598 275 1 14 48 212 1,587 224 1,183 180 4 Glendale 201,522 363 6 18 146 193 3,876 800 2,283 793 50 Glendora 51,098 76 0 5 29 42 1,248 202 921 125 6 Goleta 28,926 40 0 6 7 27 446 91 314 41 8 Grand Terrace 12,194 23 0 2 9 12 335 63 205 67 3 Grass Valley 11,248 82 0 11 13 58 539 102 368 69 4 Greenfield 13,071 95 0 2 22 71 348 105 199 44 1 Grover Beach 13,214 36 0 3 5 28 334 66 249 19 2 Half Moon Bay 12,108 27 0 3 7 17 222 44 168 10 0 Hartford 44,815 162 1 15 38 108 1,614 251 1,172 191 12 Hawaiian Gardens 15,396 156 4 1 66 85 479 100 272 107 5 Hawthorne 86,836 694 12 30 294 358 2,362 747 1,034 581 9 Hayward 144,215 600 8 41 257 294 5,125 847 2,647 1,631 58 Healdsburg 11,217 38 0 2 12 24 376 136 213 27 0 Hemet 64,032 438 1 29 107 301 2,957 801 1,819 337 26 Hercules 20,444 38 0 0 20 18 552 75 317 160 4 Hermosa Beach 19,483 81 1 6 15 59 645 154 446 45 3 Hesperia 67,724 155 3 11 45 96 1,962 510 1,092 360 15 Highland 47,579 201 7 12 101 81 1,434 307 762 365 16 Hillsborough 10,815 7 0 0 0 7 62 21 37 4 0 Hollister 36,831 201 2 10 23 166 1,252 293 845 114 11 Huntington Beach 195,832 411 3 44 101 263 4,118 961 2,716 441 21 Huntington Park 63,637 544 8 19 320 197 2,908 239 1,416 1,253 18 Imperial Beach 27,521 144 0 8 34 102 855 236 438 181 11 Indio 54,790 443 9 20 100 314 2,823 827 1,397 599 1 Inglewood 116,165 1,091 32 56 581 422 3,273 801 1,242 1,230 14 See footnotes at end of table. 134 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CALIFORNIA Continued Irvine 144 2 18 5 1 73 3,310 816 2,238 256 50 King City 11,401 42 o o 10 32 516 143 330 43 o K.i n ^ sb u r 11 10,166 12 o o 3 9 393 68 234 91 2 La Cflnud.ii Flintridge 21,076 22 1 () 7 14 260 82 164 14 o 24,804 28 o 2 1 1 15 610 98 447 65 o Laguna Beach 24,423 55 o 4 7 44 583 151 38 1 5 1 3 Laguna Hills 33,980 45 1 3 9 32 661 108 484 69 17 Laguna Ni'-'uel 63,719 78 o 1 23 54 957 165 728 64 12 Laguna Woods 16,687 8 o o 3 5 94 13 70 1 J o 1 q Habra 60,613 225 5 8 56 156 1,568 278 1 ,060 230 17 Ltike Elsinore 32,200 229 o 7 38 184 1,166 230 714 222 2 Liike Forest 77,749 1 1)7 o 3 30 74 1,231 255 848 128 13 Lake wood 81,901 340 4 17 146 173 2,820 398 1,892 530 1 1 La Mesa 55,543 173 2 12 66 93 2,126 358 1,214 554 15 La Mirada 48,987 161 1 8 46 106 1,052 221 609 222 Lancaster 125,899 1,270 18 68 322 862 4,035 1,075 2,026 934 60 La Piilinii 15,939 29 o 1 g 20 297 80 179 38 1 La Puente 42,448 243 10 7 61 165 818 156 408 254 5 La Quinta 30,358 77 3 7 15 52 1,349 391 836 122 4 1 q Verne 33,054 75 1 7 23 44 788 159 559 70 5 Lawndale 32,728 192 2 9 81 100 61 1 182 248 18 1 7 Lemon Grove 25,320 145 1 4 50 90 830 232 361 237 3 Le mo ore 21,297 75 1 5 15 54 672 106 482 84 4 Lincoln 19 882 47 o 7 7 33 567 1 54 350 63 5 Lindsiiy 10,634 108 1 3 15 89 468 150 267 5 1 5 Livei more 77 433 145 I 19 37 88 1 925 4 1 7 1 244 264 2 1 Livingston 11,364 63 o 4 10 49 349 139 158 52 7 Lodi 61,292 263 1 1 1 49 202 3,298 416 2,338 544 18 Loma Linda 20,02 1 44 o 1 17 26 823 143 482 198 5 Lonntii 20,697 1 17 o 4 38 75 468 107 295 66 5 Lompoc 41,823 225 o 24 44 157 974 226 673 75 28 Long Beach 477,368 3,579 49 136 1,411 1,983 14,823 3,003 8,072 3,748 217 Los Alamitos 1 1,833 45 o 4 20 21 303 75 182 46 7 Los Altos 27,601 17 o ] 4 12 276 82 183 1 1 3 Los Anseles 3,838,838 48,824 515 1,226 16,577 30,506 135,781 25,1 15 77,111 33,555 2,072 Los Biinos 29,835 216 0 12 21 183 901 233 563 105 4 Los Gatos 28,505 36 1 3 12 20 527 1 18 368 41 1 1 Lynwood 72,136 919 15 19 307 578 1,687 328 612 747 64 Milder y 46,699 478 2 30 145 301 1,923 471 1,054 398 5 Malibu 13,223 50 () 5 8 37 350 77 232 41 5 IVlanhattan Beach 35,873 62 1 10 25 26 1,122 264 775 83 2 Manteca 57,501 195 2 5 60 127 2,702 415 1,787 500 33 Marina 21,368 84 o 7 38 39 467 147 306 14 5 Martinez 37,092 89 o 7 25 57 1,267 244 833 190 o Marysville 12,651 1 16 1 1 1 25 79 681 132 450 99 0 May wood 29 01 1 1 8 3 ] 1 53 1 28 489 74 1 1 2 203 3 Menlo Park 30,595 66 o 6 27 33 841 182 600 59 2 IVlerced 68,941 636 7 29 168 432 4,716 882 3,182 652 51 Millbrae 20,530 30 1 1 14 14 318 69 210 39 2 Mill Valley 13,699 13 0 2 4 7 315 83 210 22 1 Milpitas 64,368 200 3 23 38 1 36 2,203 301 1,663 239 3 Mission Viejo 97,317 1 14 1 4 25 84 1,468 244 1,136 88 20 Modesto 205,691 1,409 17 73 380 939 12,600 1,743 8,463 2,394 1 12 Monrovia 38,245 106 2 9 38 57 1,011 198 642 171 8 Montclair 34,738 194 0 14 62 1 18 2,229 293 1,416 520 3 Montebello 64,274 248 4 17 88 139 2,007 237 1,138 632 21 Monterey 29,960 157 1 12 36 108 1,281 221 990 70 8 Monterey Park 62,471 167 1 6 99 61 1,380 272 654 454 5 Moo rp ark 34,940 40 0 3 7 30 323 54 239 30 2 Moraga 16,861 18 0 0 2 16 236 50 175 1 1 8 Moreno Valley 2 152,355 810 4 67 271 468 5,674 1.481 3,214 979 22 Morgan Hill 34,146 63 0 7 18 38 1,102 198 806 98 14 Mono Bay 10,614 26 0 4 0 22 208 54 150 4 3 Mountain View 70,781 291 1 6 42 242 1,837 209 1,489 139 11 See footnotes at end of table. OFFENSES REPORTED 135 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CALIFORNIA Continued MlllTieta 54,668 64 0 8 25 3 1 1,132 291 759 S2 o 75,819 306 o 26 48 232 2,450 30S 1,969 173 14 National City 56,124 546 9 33 155 349 2,740 337 1,407 996 13 Newark 43,786 183 1 18 53 1 1 1 2,063 324 1,478 261 9 Newport Beach 78,915 1 15 o 16 27 72 2,526 666 1,671 189 Norco 26,109 143 o 2 25 1 16 875 258 485 132 5 N or w 3.1k. 107,197 690 23 2()i 457 2,827 629 1,404 794 20 Novato 48,636 69 o 7 19 43 1,193 244 745 204 22 Oakdale 17,072 41 () 8 14 19 1,167 324 709 134 Oakland 407,003 5,613 109 268 2,474 2,762 22,630 4,568 12,551 5,511 334 Oakley 26,481 103 0 8 12 83 735 98 495 142 2 Ocean side 167,620 1,090 g 63 332 687 5,490 1,114 3,637 739 2() Ontario 166,796 904 1 1 47 323 523 7,472 1,019 4,331 2,122 123 Orange 132,987 262 1 10 97 154 3,376 440 2,423 513 26 Ori nda 18,259 12 o o 4 8 315 65 216 34 o Oroville~ 13,249 145 ] 10 23 1 1 1 1,238 392 675 171 2 Oxnard 179,851 80S 22 37 352 397 4,719 975 3,156 588 47 Pac lfica 38,167 65 1 7 15 42 61 1 126 401 84 2 Pacific Grove 15 812 23 o 3 5 14 289 6 1 1 1 2 16 o Pal indole 125,651 920 1 1 43 284 582 4,819 1,009 2,961 849 63 Palm Springs 44,993 390 5 29 90 266 3,356 924 2,039 393 25 Palo Alto 58,147 S8 2 5 40 41 1,968 276 1,606 86 45 Palos Verde s Estates 13,894 1 o o o ] 136 45 84 7 o Paradise 27,024 63 o 7 7 49 969 320 597 52 9 Paramount 57,082 430 10 14 1 ^2 224 2,083 33 1 1,060 692 34 Parlier 12,422 105 o s; 20 77 569 74 344 151 7 Pasadena 141,178 700 4 38 265 393 4,586 849 3,206 53 1 52 Paso Robles 26,635 122 3 13 14 92 933 376 483 74 9 Patterson 13,663 24 o 1 4 19 437 108 273 56 10 38,700 305 4 17 80 2()4 1,653 392 841 42() 13 Petaluma 55,832 1 1 1 1 2() 21 69 1,174 240 815 1 19 1 1 Pico Rivera 65,539 385 7 10 82 286 1,402 249 734 419 18 Piedmont 11,152 14 () o 7 7 227 63 1 18 46 1 Pinole 19,643 79 2 30 42 1,319 151 844 324 3 Pittsburg 61,160 233 5 10 82 135 2,466 435 1,473 558 4 Placentia 48,299 1 27 1 5 36 84 1,010 280 612 1 18 5 Placerville 10,230 40 o 9 26 384 1 1 1 232 41 3 Pleasant Hill 33,889 134 o 8 52 74 1,919 371 1,299 249 16 Pleas an ton 66,845 82 o ^ 31 43 1,598 205 1,208 185 12 Pomona 155,166 1,217 17 49 422 729 5,459 914 2,905 1,640 30 Porterville 41,742 237 1 12 54 170 2,068 430 1,272 366 2 Port Huenenie 22,482 89 0 8 32 49 458 137 250 7 J 1 Poway 49,630 78 2 3 1 1 62 858 229 529 ioo 12 Rancho Cucamon'^a 145,219 308 4 19 128 157 4,181 832 2,602 747 30 Rancho Palos Verdes 42,568 46 0 1 8 37 474 162 276 36 o Rancho Santa IVlargarita 48,666 34 o 1 5 27 476 78 355 43 4 Red Bluff 13,650 167 o 10 (-, 151 678 153 465 60 1 1 Reddino- 86,559 393 2 67 88 236 3,156 779 2,039 338 15 Redlands 67,449 379 2 17 94 266 2,767 53 1 1,733 503 29 Redondo Beach 66,483 195 1 8 69 1 17 1,775 441 1,128 206 2 Redwood City 75,234 367 2 17 61 287 2,190 383 1,590 217 17 Reedley 21,454 144 1 6 27 1 10 652 134 419 99 8 Rialto 97,630 973 1 i 43 268 65 1 2,914 6( 13 1,318 993 28 Richmond 103,629 1,078 38 50 482 508 7,024 1,102 3,470 2,452 66 Ridgecrest 25,598 119 0 20 7 92 757 238 466 53 9 Ripon 11,590 30 1 0 2 27 360 61 262 37 0 Riverbank 17,825 54 0 4 13 37 800 225 438 137 14 Riverside 277,103 1,916 24 102 573 1,217 12,891 2,194 8,098 2,599 231 Rocklin 43,717 71 2 6 9 54 1,035 202 734 99 8 Rohnert Park 42,786 203 2 28 29 144 1,572 248 1,172 152 7 Rose mead 55,532 257 6 6 107 138 1,410 344 551 515 13 Roseville 92,724 266 4 22 68 172 3,652 572 2,650 430 10 Sacramento 439,811 3,420 43 187 1,630 1,560 28,266 5,606 15,374 7,286 401 Salinas 150,305 1,200 19 57 399 725 7,415 837 5,163 1,415 51 See footnotes at end of table. 136 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CALIFORNIA Continued Sun Anselmo 12,381 23 0 3 2 18 264 66 181 17 () Sun Bernurdino 193,641 2,864 48 120 1,032 1,664 12,238 2,524 6,401 3,313 93 Sun Bruno 39 779 89 1 9 23 56 968 155 649 164 o Sun Curios 27,450 33 0 4 4 25 543 95 393 55 o Sun Cleniente 56,573 76 o 4 13 59 830 157 547 126 21 Sun Diego 1,272,746 7,366 65 406 1,626 5,269 46,382 8,076 25,739 12,567 238 Sun Dimus 36,252 1 IS o 4 33 81 863 195 565 103 3 Sun Fernnndo 24,429 146 3 5 54 83 624 102 316 206 4 Sun Fruncisco 772,065 5,725 69 215 3,065 2,376 38,163 5,784 25,388 6,991 260 Sun Gubnel 41,212 204 3 g 85 108 850 217 466 167 10 Qan (ipr J all 20,037 91 1 5 19 66 763 1 13 510 140 4 Sun Jose 909,890 3,378 29 279 815 2,255 20,748 3,314 13,770 3,664 208 Sun Juun Cupistruno 35,000 50 1 o 13 36 554 81 403 70 10 Sun Leundro 81,455 578 3 26 292 257 4,040 748 2,453 839 16 Sun Luis Obispo 44,720 139 1 20 19 99 1,944 344 1,469 13 1 41 Sun IVlurcos 62,785 205 3 18 46 1 38 1,475 440 765 270 12 Sun IV^urino 13,356 20 o o 10 10 141 47 88 5 o Sun IVluteo 92,900 341 1 28 95 2 1 7 2,756 294 2,208 254 28 Sun Publo 31,315 221 5 10 1 16 89 2,140 324 814 1,002 12 Sun Rufuel 56,879 208 o 25 66 1 1 7 2,010 327 1,233 450 5 Sun Runion 46,702 58 1 1 17 39 1,087 157 816 1 14 7 Suntu A.nu 347,016 1,788 17 76 739 956 9,728 1,1 10 5,932 2,686 121 Suntu Burburu 90,320 562 1 37 78 446 3,166 634 2,341 191 43 Suntu Cluru 102,936 253 7 25 48 173 3,006 420 2,244 342 18 Suntu Cluntu 162,238 304 3 16 97 1 88 3,157 681 2,003 473 20 Suntu Cruz 54,401 510 4 48 1 12 346 3,121 523 2,420 1 78 21 Suntu Fe Springs 18,126 1 17 2 3 44 68 1,403 228 874 301 2 Suntu Ivlonicii 87,710 555 2 21 242 290 3,943 761 2,716 466 48 Suntu Puulu 29,138 82 2 4 28 48 515 1 12 345 58 7 Suntu Rosu 155,099 998 2 84 133 779 5,878 1,080 4,069 729 44 Suntee 53,788 129 o 15 18 96 1,325 293 824 208 9 S urut og u 29,805 19 o 2 3 14 307 88 206 13 3 Scotts Vulley 1 1,558 22 () 4 4 14 341 64 264 13 o Seul Beuch 24,784 61 1 17 38 397 84 277 36 1 Sens ide 32,666 13! 1 14 57 59 734 177 470 87 7 20,753 74 1 5 15 53 1,268 166 82 1 28 1 4 Shufter 13,551 54 1 2 4 47 490 102 322 66 12 Sierru N^udre 10,992 13 o 1 o 12 1 16 44 64 g o Signul Hill 10,1 10 59 o 3 34 22 616 1 15 412 89 2 Simi Vulley 117,785 164 2 16 45 101 1,882 466 1,211 205 22 Sol&nu Beuch 13,205 20 o 3 5 12 298 103 157 38 1 Soledud 23,686 35 1 5 12 16 288 127 1 15 46 2 South El Monte 21,902 130 2 g 45 75 726 155 352 219 ^ South Gute 99,827 584 9 14 289 272 3,292 590 1,278 1,424 20 South Luke Tuhoe 24,225 207 0 15 29 163 566 169 351 46 5 South PusuiJenu 25,101 54 o g 29 17 630 149 383 98 24 South Sun Fruncisco 60,584 135 2 17 56 60 1,481 321 891 269 19 Stu nton 38,356 1 18 1 1 1 36 70 890 164 514 212 18 Stockton 265,593 3,625 37 155 1,208 2,225 18,779 3,125 11,791 3,863 79 Suisun City 27,262 84 1 10 23 50 817 100 535 182 7 Sunny vule 131,048 172 2 26 65 79 2,884 372 2,269 243 24 Susunville 17,897 72 0 6 2 64 348 98 241 9 3 Tenieculu 74 567 2?2 ] ii v8 1 6 1 2 026 414 1 314 298 3 Temple City 35,990 65 1 3 17 44 478 156 250 72 1 Thousund Ouks 123,987 201 1 12 38 150 1,785 332 1,311 142 29 Torrunce 143,101 402 2 23 216 161 4,292 785 2,753 754 29 Trucy 68,732 140 2 11 50 77 2,582 413 1,722 447 29 Truckee 14,783 48 0 4 3 41 276 66 192 18 5 Tulure 46,461 506 5 22 68 41 1 2,568 803 1,456 309 33 Turlock 62,294 384 4 26 83 271 4,052 751 2,358 943 21 Tustin 69,357 265 1 11 55 198 1,895 328 1,316 251 11 Twentynine Pulms 29,492 91 2 15 11 63 554 203 298 53 5 Twin Cities 21,460 16 0 2 12 2 671 172 418 81 4 Ukiah 15,707 151 3 14 14 120 739 242 450 47 9 See footnotes at end of table. OFFENSES REPORTED 137 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CALIFORNIA Continued Union City 70,612 269 1 19 1 17 132 2,692 441 1,714 537 32 Upland 71,728 249 3 12 105 1 29 2,901 465 1,943 493 5 Vacaville 94,555 272 0 24 71 177 2,152 313 1,590 249 32 Vallejo 121,055 997 42 339 610 5,817 1,021 3,631 1,165 55 Ventura 104,706 261 3 21 96 141 3,968 764 2,855 349 15 Vi c tor v 1 He 71,571 323 3 28 130 162 3,863 856 2,415 592 15 Vi s;il i;i 97,906 789 9 47 144 589 5,857 1,080 3,971 806 29 Vista 92,526 381 2 30 122 227 2,602 835 1,293 474 26 Walnut 31,096 56 o 1 19 36 475 146 251 78 7 Walnut Creek 66,03 1 106 o g 18 80 2,635 434 1,938 263 16 Watsonville 47,133 329 3 23 99 204 2,049 331 1,569 149 9 West Covina 108,824 395 5 13 178 199 4,108 585 2,654 869 26 West Hollywood 37,055 342 3 10 170 159 1,626 330 1,030 266 7 Westminster 90,454 328 1 16 110 201 3,047 506 2,061 480 21 West Sacramento 36,927 477 3 20 99 355 1,499 512 622 365 49 Whittier 86,342 290 1 16 86 1 87 2,538 339 1,741 458 12 Woodland 51,383 281 2 22 42 215 1,517 607 569 341 39 Yorba Linda 61,706 61 o g 13 39 814 161) 588 66 14 Yuba City 47,708 201 o 28 46 127 1,969 358 1,409 2()2 14 Yucaipa 44,290 54 3 5 10 36 1,027 198 687 142 4 Yucca Valley 17,946 67 1 3 1 1 52 568 1 50 362 56 13 COLORADO Arvada 103,191 178 3 18 49 108 3,731 586 2,746 399 41 Aurora 288,830 1,691 18 213 57 1 889 15,253 2,329 10,272 2,652 1 10 Boulder 95,089 214 o 52 37 125 3,930 549 3,184 197 43 Canon City 15,845 32 0 () 1 3 1 572 85 450 37 14 Castle Rock 26,079 27 o 2 2 23 660 105 501 54 o Centennial 100,421 185 1 31 22 13 i 2,346 417 1,716 213 45 Colorado Springs 374,818 1,730 16 242 421 1,051 18 517 3,360 13,338 1,819 191 Commerce City 24,161 177 2 17 35 123 2,160 358 1,427 375 15 Denve r 565,905 3,531 63 304 1,421 1,743 29,064 7,097 14,839 7,128 228 Duran^o 14 773 38 o 4 4 30 930 103 775 52 7 Englewood 33,286 91 2 26 40 23 2,430 319 1,664 447 19 13,423 29 o 1 1 1 1 7 623 96 467 60 5 Federal Heights 12,228 29 1 2 14 12 968 120 677 171 1 Fort Collins 125,886 413 2 105 30 276 5,520 850 4,368 302 38 Fort IVlor^an 11,130 15 o 4 2 9 367 42 314 1 J 5 Fountain 15,851 19 1 o 3 15 339 3 i 285 23 o Oolden 17,536 46 o 2 g 36 628 102 474 52 12 Grand Junction 43,593 233 o 34 17 1 82 3,236 513 2,561 162 37 Greeley 82,919 279 2 49 52 176 5,329 689 4,255 385 35 Greenwood Village 12,827 41 0 5 14 22 816 147 608 61 4 Lafayette 24,042 240 0 4 4 232 647 100 501 46 28 Littleton 40,772 60 0 13 20 27 1,497 226 1,071 200 11 Montrose 13,919 33 1 7 5 20 739 132 582 25 3 N orth ® le n n 33,982 1 14 o 14 21 79 1,992 249 1,438 305 7 32,664 25 o o g 1 7 710 141 524 45 13 Pueblo 104,424 817 5 38 175 598 5,571 1,241 3,928 402 65 13,030 39 o 1 1 1 27 442 78 360 4 9 Thornton 94,540 396 5 37 56 298 4,891 603 3,654 634 43 WhpMt RiHcip VV HCaL IVILl^C 32 595 1 1 5 o | 5 41 59 1 794 309 1 216 269 2 1 Windsor 12,637 2 0 1 1 0 53 23 24 6 1 CONNECTICUT Ansonia 18,863 25 0 2 10 13 364 40 275 49 1 Avon 16,454 9 1 0 5 3 198 37 153 8 0 Berlin 19,242 13 0 0 4 9 360 65 268 27 0 Bethel 18,571 7 0 2 0 5 184 44 134 6 2 Bloomfield 19,925 91 0 16 24 51 551 73 438 40 4 Branford 29,142 40 1 9 15 15 843 77 723 43 1 Bridgeport 141,030 1,365 15 49 439 862 6,401 1,243 3,954 1,204 See footnotes at end of table. 138 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CONNECTICUT Continued Bristol 60,941 142 2 g 66 65 1,755 333 1,292 130 B rook.fi eld 16,028 26 o o 1 25 178 26 141 1 J o Cheshire 29,288 12 o 2 3 7 292 63 198 3 1 2 Clinton 13,495 15 o 5 1 9 252 51 188 13 2 Coventry 12,053 5 o () 1 4 1 36 42 82 12 2 Danbury 77,425 1 IS {) 16 56 46 1,722 213 1,352 157 8 20,018 12 {) 1 (-, 5 193 35 149 g o Derby 12,603 7 o o 7 o 320 48 250 22 1 East Hampton 13,922 o 1 () 7 107 17 83 7 4 Eh s t Haven 28,752 44 o 7 17 20 638 74 480 84 5 Enfield 45,679 57 o 5 24 2S 1,098 148 806 144 5 Fairfield 58,096 41 o 5 13 23 1,326 221 992 1 13 2 Far mi n 2 to n 24,349 15 {) 1 1 1 3 689 86 572 3 1 5 Glastonbury 32,790 g o o 8 1 401 67 316 18 2 Granby 10,767 5 o 1 1 3 162 19 138 5 2 Groton 10,145 30 o 7 1 1 12 263 S 1 -) 170 4 1 Groton Town 29,709 63 o 2() 21 22 413 57 339 17 o Gu llford 22,013 23 o 5 2 16 363 40 309 14 4 Hartford 125,381 1,812 45 64 1,024 679 9,857 1,326 6,143 2,388 ]\^adison 18,669 I o o o ] 152 22 124 6 o 1V1 tine h e s te r 55,448 581 1 27 40 513 2,191 288 1,692 21 1 5 ^leri den 59,063 1 27 2 § 60 57 2,283 504 1,633 146 o Middletown 44,448 47 o o 21 26 1,242 124 1 ,003 1 15 o Milford 53,825 63 ] 3 36 23 1,728 175 1,405 148 7 Monroe 19,680 2 o o o 2 222 34 154 34 o N ■ l L 1 ° ■ 1 1 u c 1\ 31,637 31 o 2 9 20 548 81 439 28 4 New Britain 72,062 275 {) g 122 145 2,891 587 1 977 327 1 New Canaan 19,864 3 o 1 3 4 99 10 83 6 2 New London 26,240 159 2 17 56 84 873 185 593 95 12 New Milford 28,144 17 o 8 5 4 300 82 195 23 2 N e w tow n 26,037 o 4 1 3 25() 46 196 8 3 North Haven 23,615 7 o o 4 3 455 54 356 45 1 Nor walk. 84,683 355 1 13 156 1 85 2,470 373 1,750 347 7 Old Saybrook 10,554 2 o o o 2 281 17 258 5 o Orange 13,471 o o 5 1 339 36 286 17 2 15 1 16 37 o 3 3 ^ 1 1 48 ^ 1 103 14 o PI ai nville 17,522 20 o 3 8 g 636 75 526 35 3 Rid se field 24,213 o o o o o 74 13 60 1 o Rocky Hill 18,426 24 1 2 2 19 356 43 286 27 2 Seymour 15,831 43 () 1 10 32 254 44 177 33 3 Shelton 39,102 29 o 5 12 1 J 401 96 223 82 1 Simsbury 23,576 3 o o 1 2 220 26 187 7 o Southing ton 41,214 34 o 3 10 21 901 162 653 86 3 South ^Vindsor 25,010 13 o 1 4 8 348 65 256 27 o S t am ford 120,642 271 2 1 1 135 123 2,167 319 1,595 253 7 S tratf ord 50,503 1 14 2 s 73 3 1 1,822 314 1,290 218 5 S u f field 14 1 14 5 o o 1 4 186 45 126 15 1 Torn n ston 35,891 139 o 5 12 122 1,1 14 2()2 838 74 4 Trumbull 35,087 25 1 3 16 5 821 79 695 47 5 ^Val 1 1 n ^f ord 44,1 16 36 o 5 16 15 792 138 598 56 5 Waterbury 108,596 481 5 50 234 192 6,396 1,082 4,347 967 Watertown 22,246 10 0 0 4 6 356 38 306 12 0 West Hartford 61,771 133 1 4 93 35 1,858 291 1,414 153 13 West Haven 53,081 155 0 13 66 76 1,969 256 1,416 297 9 Weston 10,297 4 1 0 0 3 74 13 57 4 0 Westport 26,344 14 0 0 6 8 475 83 373 19 2 Wethersfield 26,564 39 0 4 16 19 585 S3 434 68 2 Willimantic 16,184 63 0 9 39 15 675 128 500 47 5 Windsor 28,707 36 1 5 8 22 559 50 463 46 5 Windsor Locks 12,318 15 5 3 5 2 184 35 115 34 0 Wolcott 15,786 4 0 0 4 0 307 47 236 24 0 See footnotes at end of table. OFFENSES REPORTED 139 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' A£u rde r and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft DELAWARE 32,989 239 1 24 47 167 1,917 166 1,647 104 7 Newark 30,171 168 o 1 1 70 87 1,186 171 929 86 14 Wilmington 73,41 1 1,088 7 37 416 628 3,823 869 2,192 762 2 DISTRICT OF COLUMBIA Washington 563,384 8,839 248 273 3,836 4,482 31,581 4,670 17,362 9,549 FLORIDA Altamonte Springs 41,726 149 4 16 46 83 1,773 291 1,290 192 5 Apopka 30,207 319 1 13 82 223 1,664 378 1,160 126 o Atlantic Beach 13,799 65 o 3 16 46 491 108 358 25 1 A ub u r ndal e 1 1 897 69 o 3 31 35 844 194 621 29 1 Aventura 26,984 54 o 1 37 16 2,206 148 1,945 1 13 3 Bartow 15,738 123 o 15 31 77 1,540 371 1,067 102 2 Belle Glade 15,483 461 1 9 149 302 1,548 455 982 1 1 1 1 1 Boca Raton 78,828 175 1 10 46 1 18 2,522 597 1,722 203 3 Boynton Beach 64,849 678 1 5 1 85 487 4,881 848 3,558 475 3 Bradenton 52,304 455 7 29 162 257 3,320 894 2,073 353 o Cape Coral 1 14,966 312 1 1 1 33 267 3,763 1,044 2,544 175 30 Casselberry 24,1 15 143 1 g 25 108 957 187 686 84 3 C le arw ater 110,296 1,162 4 53 253 852 5,572 1,055 4,037 480 50 Clermont 10,325 84 o 5 24 55 448 160 266 22 3 16,703 442 1 41 92 308 1,302 365 85 1 86 4 Cocoa Beach 12,738 122 o 16 24 82 909 134 735 40 2 Coconut Creek. 48,586 1 12 1 7 16 88 1,027 205 703 119 2 Cooper City 29,400 63 1 8 3 5 1 716 125 550 41 3 Coral Gables 43,41 1 158 3 3 68 84 2,644 440 1,975 229 2 Coral Springs 127,974 290 2 24 70 194 3,541 560 2,695 286 8 Crest view 15,634 60 o 3 15 42 581 124 439 18 2 28,580 204 1 15 49 139 934 215 549 170 2 Davie 81,315 355 4 13 94 244 3,263 580 2,326 357 28 Daytona Beach 65,788 1,214 5 81 420 708 6,141 1,567 3,651 923 25 Deerhcld Beach 66,836 359 1 27 97 234 1,695 314 1,127 254 7 Deland 21,829 147 o g 32 107 1,361 366 938 57 5 JDelray Beach 63,412 521 1 15 125 380 4,036 683 2,952 401 13 Dunedin 37,335 81 o 10 21 50 994 206 737 51 8 E d^ e w ater 20,098 62 o 3 5 53 704 167 493 44 2 16,182 81 o 7 10 64 311 52 232 27 1 Fernandma Beach 11,223 21 o 4 (-, 1 1 372 73 274 25 o Fort Lauderdale 161,090 1,352 18 49 640 645 9,736 2,320 6,281 1,135 38 Fort JVlyers 50,874 965 12 29 275 649 3,410 667 2,130 613 20 Fort Pierce 38,684 830 15 57 249 509 3,448 1,043 2,132 273 29 Fort Walton Beach 20,466 122 0 16 19 87 772 1 16 598 58 3 Gainesville 96,919 1,004 5 55 197 747 5,049 1,208 3,370 471 18 Greenacres City 30,996 233 o 12 41 1 80 1,529 297 1,077 155 2 Gulf port 12 798 77 1 3 33 40 631 170 389 72 2 Haines City 13,959 92 o 4 29 59 1,217 309 823 85 9 Hallandale 35,941 454 4 g 1 32 309 1,779 389 1,203 187 ^ 1 1 Kile all 232,325 1,429 13 31 427 958 10,806 1,804 7,141 1,861 33 Hialeah Gardens 20,241 46 1 1 1 1 33 1,003 173 657 173 1 Holly Hill 12,792 1 27 o 7 46 74 1,073 321 63 1 121 3 Hollywood 145,834 944 4 46 412 482 7,976 1,289 5,670 1,017 43 Homestead 34,344 620 4 24 260 332 3,124 197 2,656 271 6 Jacksonville 776,417 6,729 92 213 2,344 4,080 43,791 8,910 30,043 4,838 283 Jacksonville Beach 21,636 144 0 4 44 96 1,221 175 942 104 3 Jupiter 44,179 166 0 7 33 126 1,492 328 1,094 70 4 Key Biscayne 10,663 11 0 0 6 5 386 45 328 13 4 Key West 25,736 152 2 7 69 74 1,879 384 1,336 159 0 Kissimmee 49,828 531 4 9 130 388 3,028 630 2,179 219 6 Lady Lake 12,765 28 0 1 0 27 232 51 167 14 0 Lake City 10,364 154 0 4 22 128 1,209 185 964 60 1 Lakeland 87,752 516 5 39 215 257 5,165 954 3,844 367 13 See footnotes at end of table. 140 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft FLORIDA Continued Luke Mary 12,877 29 1 5 3 20 242 50 179 13 1 Lake Wales 10,576 80 1 2 25 52 852 203 586 63 o Lake Worth 36,226 500 5 22 284 1 89 2,887 697 1,896 294 g 71,943 342 4 30 60 248 2,754 517 2,051 186 7 Lauderdale Lakes 32,245 241 5 19 71 146 802 141 478 183 4 Lauderhill 59,898 493 4 24 134 3 3 1 2,120 495 1,245 380 21 Le e sburg 16,779 222 o 3 59 160 1,143 385 691 67 5 Lighthouse Point 11,287 16 1 o 4 1 j 237 55 159 23 o Longwood 13,946 309 2 4 12 291 656 207 429 20 1 Lynn Haven 13,508 45 1 1 7 36 477 1 19 33 i 27 5 Maitland 12,222 38 2 4 1 1 21 473 123 289 61 o JVlarco Island 15,469 I j o o 3 g 263 38 216 9 4 Margate 55,789 186 () 4 31 15 1 1.111 244 734 133 5 Melbourne 75,155 593 4 31 122 436 3,628 881 2,490 257 20 Miami 381,651 7,157 74 107 2,928 4,048 26,370 5,878 15,404 5,088 239 Miami Beach 91,215 1,172 72 507 587 9,438 1,414 6,840 1,184 5 Miami Lakes 23,287 91 1 3 16 71 1,023 170 699 154 1 Miami Shores 10,554 76 o 1 48 27 735 199 491 45 o Miami Springs 13,995 80 o 2 43 35 634 13 1 456 47 o IVliramar 92,013 373 1 24 96 252 3,022 896 1,683 443 17 Mount Dora 10,137 100 0 6 16 78 529 1 16 384 29 5 Naples 21,549 54 o 4 13 37 1,084 183 866 35 3 New Port Richey 16,766 154 o 13 34 107 974 250 650 74 g New Smyrna Beach 20,850 126 1 2 23 100 922 253 606 63 3 Niceville 12,292 18 o 4 1 13 143 27 107 9 o North Lauderdale 33,836 224 o 16 32 176 637 133 422 82 2 North Miami 61,133 823 1 30 399 393 4,637 1,057 2,835 745 13 North Miami Beach 41,596 467 1 29 219 218 2,437 704 1,379 354 7 North Palm Beach 12,754 42 o 2 16 24 461 93 312 56 o North Port 28 077 1 07 1 19 g 79 856 199 621 36 7 Oakland Park 32,063 279 2 15 83 1 79 1,229 273 745 21 1 5 Ocala 47,790 645 2 39 165 439 3,674 926 2,520 228 22 Ocoee 27,208 141 () 9 24 108 1,404 269 1,039 96 2 Oldsmar 12,958 35 o 2 3 30 599 121 441 37 2 Opa Locka 15,238 633 5 19 227 38 1 1,136 285 692 159 Orlando 197,268 3,322 21 136 849 2,316 17,024 3,593 11,511 1,920 48 Ormond Beach 37,883 110 1 5 33 70 1,217 428 714 75 1 Oviedo 28,102 106 o x 5 93 690 139 524 27 1 1 Palatka 10,496 170 o 5 33 132 950 1 16 794 40 5 Palm Bay 84,558 576 g 72 64 432 3,199 890 2,130 179 19 Palm Beach Gardens 38,825 128 o 5 47 75 1,825 321 1,340 164 o Palmetto 13,050 1 84 o g 58 1 18 692 158 471 63 2 Palm Springs 13,404 62 o 4 27 3 1 783 133 538 1 12 5 Panama City 37,393 378 1 34 87 256 2,818 490 2,173 155 5 Parkland 17,899 13 o 1 2 10 340 93 229 18 o Pembroke Pines 149,321 394 o 23 132 239 4,420 618 3,291 5 1 I 40 Pensacola 56,251 375 4 41 83 247 2,625 600 1,919 1 06 4 Pinellas Park 47,23 1 281 3 12 47 219 2,846 572 2,077 197 13 Plantation 86,371 237 3 7 109 1 18 3,764 549 2,881 334 9 Plant City 31,542 269 2 13 88 166 1,947 307 1,468 172 4 Pompano Beach 88,748 707 3 24 2()7 473 3,061 592 2,091 378 g Port Orange 50,225 44 3 5 9 27 1,019 190 761 68 6 Port St. Lucie 100 342 28 1 j 1 7 30 233 2 699 68^ 1 906 1 10 14 Punta Gorda 16,303 30 0 3 4 23 419 141 253 25 1 Riviera Beach 31,013 636 10 28 233 365 3,350 1,049 1,726 575 15 Rockledge 22,070 44 0 2 10 32 748 155 559 34 1 Royal Palm Beach 25,957 132 0 11 30 91 1,709 550 1,055 104 4 Safety Harbor 17,690 27 0 3 1 23 386 114 246 26 3 Sanford 44,240 298 4 29 104 161 3,271 641 2,365 265 0 Sarasota 54,297 566 5 31 199 331 3,987 903 2,826 258 7 Satellite Beach 10,425 30 0 3 2 25 264 66 192 6 4 Sebastian 17,467 54 1 6 4 43 461 130 318 13 3 Seminole 16,969 58 0 3 18 37 600 1 13 451 36 1 South Daytona 13,494 53 0 2 17 34 682 261 357 64 3 See footnotes at end of table. OFFENSES REPORTED 141 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft FLORIDA Continued South JVliami 10,985 1 15 o 1 47 67 867 132 675 60 1 St A.u'-'ustine 12,01 1 1 13 1 3 21 88 837 84 721 32 1 St. Cloud 20,979 107 ] 12 14 80 1,011 253 723 35 3 St. Pete Beach 10,171 48 o 4 12 32 532 107 402 23 o St Petersburg 253,095 4,054 22 106 1,198 2,728 16,431 3,852 10,583 1,996 87 Stuart 15,029 92 o 9 17 66 881 145 685 51 1 Sunny Isles Beach 15,750 62 o 4 25 33 657 132 458 67 3 S unn se 90,098 424 1 23 145 255 3,762 513 2,857 392 3 Sweetwater 14,564 58 {) 4 21 33 271 57 182 32 o Tallahassee 158,01 1 1,412 4 155 342 91 1 9,338 2,223 6,413 702 27 Tamarac 58,521 183 2 71 101 883 165 581 137 5 Tampa 320,908 5,733 41 222 1,769 3,701 28,449 6,390 16,715 5,344 146 Tarpon Springs 22,338 136 o 5 16 114 705 143 486 76 3 Ta vares 10,581 28 o 1 2 25 237 5 i 170 16 o Temple Terrace 22,337 67 o 2 27 38 830 196 510 124 2 Titusville 41,879 356 2 19 70 265 1,726 548 937 241 9 Venice 18,941 37 o 1 5 3 | 528 78 436 14 3 Vero Beach 17,660 93 1 5 32 55 734 130 572 32 3 Village of Pinecrest 19,784 51 0 2 20 29 699 1 14 538 47 3 Wellington 44,349 106 0 14 22 70 1,511 288 1,109 114 6 West Melbourne 11,712 101 0 1 9 91 585 80 477 28 1 Weston 62,684 80 0 3 9 68 454 75 326 53 6 West Palm Beach 88,101 1 161 14 64 538 545 8,718 1,474 5,977 1,267 13 Wilton Manors 13,1 16 64 o 1 32 3 | 671 156 447 68 3 Winter Garden 18,591 1 10 1 s; 19 82 681 214 405 62 1 ^Vintei .Have n 26.906 2 17 o 29 82 1 06 2 397 457 1 755 1 85 10 Winter Park 25,722 70 1 4 36 29 1,010 193 719 98 5 Winter Springs 31,853 73 0 7 5 61 550 123 397 30 1 Zephyrhills 1 1 ,47 1 48 1 2 5 40 716 160 501 55 2 GEORGIA Ac worth 16,846 51 o o 14 37 512 5 i 425 36 o Albany 77,434 537 5 37 261 233 4,648 1,280 2,967 401 23 Alpharetta 36,258 1 13 1 5 25 8 1 1,521 192 1,197 132 Americ u s 17,164 136 o g 27 101 1,394 284 1,060 50 4 Athens -Clarke County 104,313 387 9 52 139 1 87 6,084 1,076 4,612 396 30 Atlanta 43 1 ,043 8,491 149 281 3,701 4,360 38,231 8,065 22,931 7,235 165 B ain bridge 12,071 68 3 1 1 24 30 970 178 769 23 () Brunswick 15,825 133 0 16 85 32 1,627 361 1,179 87 () Calhoun 1 1,885 47 o 5 18 24 1,035 166 8 1 7 52 Canton 11,503 59 1 7 15 36 577 74 467 36 2 Carrollton 20,447 212 2 g 3 1 171 1,520 210 1,250 60 Carters ville 17,419 90 5 3 28 54 1,385 302 940 143 College Park 19,813 335 2 20 130 183 2,166 516 1,236 414 7 Columbus 188,1 16 837 19 22 33 1 465 12,978 2,204 9,555 1,219 40 Conyers 11,961 136 o g 41 87 1,228 169 917 142 Cordele 11,719 76 1 7 28 40 1,057 185 842 30 4 Covington 12,693 59 o 1 29 29 995 208 715 72 o Dalton 30,329 195 o 4 42 149 1,840 285 1,426 129 Decatur 18,436 51 ] si 18 24 697 149 473 75 Doraville 10,204 77 o 3 38 36 455 81 315 59 o Douglas 10 815 90 o 3 1 ] 76 1 343 2 1 8 1 061 64 1 Douglas ville 22,075 162 () 1 1 57 94 2,208 236 1,807 165 Dublin 16,300 120 1 6 36 77 1,114 233 848 33 1 Duluth 23,119 3! 1 2 8 20 403 104 261 38 0 East Point 38,417 305 6 11 177 111 2,805 787 1,514 504 Fayetteville 13,118 15 0 0 6 9 594 25 543 26 2 Forest Park 21,625 196 1 9 113 73 1,718 269 1,223 226 Gainesville 28,374 177 1 8 50 118 2,069 286 1,660 123 Garden City 11,245 127 0 8 22 97 645 156 409 80 Griffin 23,564 190 4 13 45 128 1,182 212 857 113 Hinesville 30,985 168 4 9 63 92 1,846 302 1,471 73 Kennesaw 25,183 23 1 0 7 15 591 89 455 47 See footnotes at end of table. 142 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent clinic Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft GEORGIA Continued Idngsland 11,150 76 2 1 t) 64 498 1 1 1 368 19 LaGrange 26,808 166 3 19 52 92 2,244 294 1,838 1 12 Lawrencevdle 25,948 80 2 5 30 42 940 205 633 102 3 Mile on 97,255 647 18 46 229 354 9,072 1,881 6,181 1,010 54 Marietta 62,921 324 5 15 156 148 2,754 568 1,852 334 0 McDonoush 10,142 1 10 2 3 1 1 94 736 1 13 570 53 1 Milled "eville 19,035 33 o 4 g 21 741 150 574 17 IVlonroe 11,935 56 o 4 13 39 448 93 324 3 J 2 Moultrie 14,586 140 2 9 51 78 1,601 360 1,140 101 New nan 19,646 68 1 3 22 42 894 127 705 62 9 Peachtree City 32,877 23 o 4 4 15 325 18 230 77 3 10,296 52 o 2 9 41 353 46 283 24 4 Riverdale 14 719 1 17 o 4 70 43 1,058 183 763 1 12 0 35,749 438 5 13 67 352 2,761 624 1,972 165 18 Savannah 129,547 1,073 28 42 603 400 9,241 2,135 5,782 1,324 15 Smyrna 46,342 192 2 15 96 79 2,142 368 1,490 284 4 Snellville 17 798 20 o o 14 5 741 85 619 37 3 State sboro 23,663 78 1 9 41 27 1,125 237 838 50 5 St. Marys 15,322 37 1 3 11 22 610 127 451 32 5 Suwanee 10,593 28 0 1 g 19 283 49 206 28 1 Thomasville 18,225 1 10 0 8 43 59 1,281 317 903 61 10 Tifton 16,104 128 1 6 39 82 1,386 234 1,104 48 1 Union City 12,639 83 0 1 35 47 916 180 574 162 0 Valdosta 45,357 298 3 24 101 170 3,238 600 2,489 149 Warner Robins 53,329 212 5 20 79 108 3,477 725 2,568 184 11 ^Vay c r o s s 15,386 93 4 10 32 47 1,055 188 817 50 10 Winder 11,320 1 18 2 7 18 91 668 1 17 422 129 2 Wo o ds to ck 13,384 24 0 2 7 15 588 55 498 35 () HAWAII Honolulu 905,301 2,606 15 266 989 1,336 48,306 7,967 32,086 8,253 389 IDAHO 10 750 26 o 3 4 19 408 58 334 16 2 193,414 632 3 108 78 443 8,122 1,422 6,223 477 105 Caldwell 30,020 141 o 19 1 1 1 1 1 1,959 322 1,464 173 14 Chubbuck 10,190 41 o 1 2 38 473 44 414 15 1 Coeur d 1 Alene 36,940 203 1 28 16 158 2,021 354 1,552 115 26 Garden City 11,191 81 0 12 g 61 659 105 478 76 4 Idaho Falls 52,056 148 2 22 12 112 1,941 244 1,553 144 8 Lewiston 31,060 39 0 2 6 31 1,309 269 978 62 2 Meridian 39,801 67 2 10 12 43 1,277 205 1,025 47 6 Moscow 22,081 3 0 2 2 4 670 71 579 20 1 IVlountain Home 1 1 ,748 23 o 3 0 20 425 72 32 1 32 5 Nampa 61,391 245 3 70 18 154 2,544 456 1,830 258 14 Pocatello 52,205 138 1 19 g 1 10 1,752 204 1,464 84 13 Post Falls 19,090 44 o 12 5 27 678 120 526 32 5 Rex burg 17,888 9 o 1 0 g 240 35 196 9 0 Twin Falls 36,303 159 0 15 20 124 2,489 505 1,865 119 5 ILLINOIS 4 3 Aurora 157,633 13 215 475 5,032 942 3,739 351 44 Chicago 2,898,374 598 17,302 19,784 144,622 25,064 96,779 22,779 947 Joliet 118,920 11 164 383 4,026 883 2,853 290 64 Naperville 135,958 0 23 61 2,471 291 2,096 84 16 Peoria 113,143 7 285 363 7,559 1,850 4,989 720 83 Rockford 151,703 12 500 732 12,055 2,996 7,895 1,164 Springfield 112,304 7 324 1,158 9,041 2,112 6,522 407 71 See footnotes at end of table. OFFENSES REPORTED 143 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft INDIANA Auburn 12,350 17 o 2 3 12 488 67 402 19 o Bedford 13,629 16 o 2 3 1 j 526 57 449 20 3 Beech Grove 14,713 42 o 3 17 22 544 127 352 65 5 Bloommgton 70,403 69 o 15 27 27 2,485 441 1,930 1 14 17 B row n sbu rg 16,370 5 1 o 2 2 307 3 i 27 1 5 o 41,121 12 o 3 7 2 757 1 15 612 30 2 Chesterton 10,981 17 o 3 2 12 318 49 250 19 o Clarksville 21,434 60 o 17 30 13 1,820 182 1,504 134 3 Columbus 39,000 74 2 10 g 54 1,981 174 1,733 74 13 Connersville 15,168 25 o 5 2 18 989 136 824 29 2 Cm \vf ords ville 15,421 18 o 2 K) 805 129 658 18 1 Crown Point 20,613 23 o o 5 18 378 53 290 35 5 14,547 1 1 o 2 5 4 270 32 212 26 1 East Chicago 31,919 527 20 9 1 1 1 387 2,007 43 1 1,129 447 19 Elkhart 52,090 1 87 5 25 136 20 4,203 872 3,022 309 31 Evansville" 119,788 1,393 12 40 145 1,196 5,229 1,065 3,876 288 76 Fi shers 44,705 54 o 4 3 47 591 80 486 25 1 Fort Wayne 211,317 772 19 1 18 354 28 1 11,113 2,188 8,145 780 1 14 Fr ankf o rt 16,692 50 o g 10 32 997 157 795 45 4 Franklin 20,635 55 () 2 5 48 1,262 91 1,141 30 o 101,544 797 68 71 391 267 5,272 1,662 2,373 1,237 Goshen 29,859 124 o 1 i) 1 14 1,336 154 1,131 5 1 1 G ree nfi eld 15,646 16 () g 3 5 318 39 256 23 4 Greenwood 39,180 204 o 10 16 178 1,825 188 1,556 8 1 4 Griffith 17,21 1 33 o 7 15 1 j 656 56 512 88 5 H am mo nd 81,896 668 14 38 256 360 4,742 994 3,015 733 63 Highland 23,729 25 o 3 16 5 1,012 98 830 84 2 Huntington 17,408 20 0 5 3 12 524 61 448 15 1 Indianapoh s 800,167 7,069 107 420 2,828 3,714 45,386 10,062 27,891 7,433 499 12 761 6 o ] o 5 148 17 1 15 16 o J e f f e r son ville 27 987 85 o 12 36 37 1,273 322 783 168 o Isloko m o 46,229 194 2 17 66 109 3,029 55 i 2,339 139 4 Lafayette 60,954 243 1 30 64 148 3,205 603 2,459 143 g La Porte 21,419 60 o 5 7 48 1,142 123 953 66 o Lawrence 40,696 190 2 4 63 121 946 198 619 129 2 Logan sport 19,582 17 o 5 4 7 750 124 579 47 2 IVladison 12,198 26 o o 2 24 384 1 13 244 27 o Marion 30,835 186 4 13 70 99 1,820 382 1,352 86 3 Martinsville 1 1 ,646 26 o 2 2 22 703 50 628 25 5 Merrillville 31,127 53 1 2 23 27 1,105 91 833 18 1 1 Michigan City 32,757 1 50 1 18 72 59 2,071 364 1,538 169 19 Mishawaka 48,551 314 2 12 57 243 3,986 507 3,307 172 27 IVlooresville 10 296 1 j o 4 2 5 363 37 291 35 o IVluncie 67,594 290 o 56 68 166 3,018 545 2,255 218 17 Munster 22,004 46 o () g 38 553 48 459 46 2 New Albany 37 752 1 99 ] 10 84 104 2 676 601 1 905 170 20 New Castle 19,107 18 o g 7 3 1,881 368 1,427 86 4 New Haven 13,570 21 o 5 5 1 j 420 84 306 30 o Nobles ville 32,058 25 o 3 7 15 669 95 541 33 g Plainfield 20,842 21 o o 5 15 942 140 743 59 2 Plymouth 10,500 10 o 3 5 2 45(8 40 401 17 2 Portage 34,703 89 0 4 10 75 1,359 188 1,087 84 9 Richmond 38,698 200 1 26 65 108 1,626 41 1 1,041 174 74 Schererville 25,728 13 0 0 4 9 711 62 582 67 2 Seymour 18,506 87 2 2 9 74 1,168 82 1,026 60 6 South Bend 107,191 768 16 78 324 350 6,853 1,716 4,596 541 74 Speedway 12,980 51 0 7 37 7 420 61 292 67 1 Valparaiso 2 28,352 89 0 4 7 78 1,027 66 923 38 2 Vincennes 18,354 24 0 6 9 9 1,265 304 869 92 4 Wabash 11,587 4 0 2 2 0 167 59 93 15 1 Warsaw 12,510 37 0 3 1 33 333 56 257 20 0 West Lafayette 29,254 30 0 8 2 20 624 109 490 25 1 See footnotes at end of table. 144 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft IOWA Altoona 10,980 10 o 1 o 9 479 39 428 12 o 5 1 ,040 279 o 25 7 247 1,738 215 1,437 86 o Ankeny 29,940 35 1 g 5 21 719 140 539 40 3 Bettendorf 31,625 135 o 3 g 124 808 153 635 20 1 1 12,834 9 o o 1 g 371 49 305 17 5 Burlington 26,1 13 129 1 1 J 18 99 1,253 319 895 39 3 Carroll 10,019 g o o 2 5 218 32 169 17 o Cedar Falls 36,751 1 14 2 13 5 94 973 138 802 33 Cedar Rapids 122,819 387 4 46 100 237 6,456 1,110 5,046 300 21 Clive 13,591 42 o 5 5 3 1 436 69 338 29 5 Coralville 16,531 18 o 10 4 4 725 60 646 19 10 Council Bluffs 58,786 497 5 7 1 78 343 6,138 1,005 4,271 862 31 Davenport 98,020 1,201 5 59 242 895 6,951 1,401 5,162 388 49 Des .Moines 198,568 699 g 92 284 315 12,1 15 1,527 9,692 896 78 Dubucjue 57,173 235 2 17 15 201 1,814 398 1,319 97 33 Fort Dod ( *e 24,959 134 () 16 1 12 1,822 429 1,271 122 13 Fort Madison 1 1,033 17 o 3 o 14 482 97 363 22 3 Indianola 13,147 24 o 2 1 21 352 32 300 20 2 Iowa City 63,975 368 o 28 47 293 2,031 343 1,606 82 Keokuk 1 1,056 109 o 1 1 03 420 69 313 38 o Marion 27,680 27 o 4 4 19 423 1 17 286 20 4 Marshall town 26,167 192 o 1 9 182 1,399 329 985 85 5 IVlason City 28,535 56 o 10 14 32 1,666 337 1,289 40 9 Muscatine 22,706 177 0 24 4 149 871 202 639 30 8 Newton 15,660 15 0 0 7 8 548 93 439 16 0 Oskaloosa 11,018 22 0 2 3 17 375 98 258 19 5 Ottumwa 24,756 207 0 8 5 194 1,236 235 936 65 10 Pella 10,244 30 o 0 1 29 188 40 141 7 4 Sioux City 84,340 357 1 43 49 264 4,556 967 3,227 362 35 Spencer 11,224 1 ] o () () 416 98 297 21 o Storm Lake 10,109 30 o g 4 18 373 65 296 12 4 Urban dale 31,229 72 o 4 1 J 57 890 199 665 26 7 Waterloo 67,910 326 4 47 93 1 82 3,707 922 2,543 242 33 West Des Moines 50,085 70 1 9 10 50 1,792 310 1,409 73 7 KANSAS Arkansas City 12,077 69 o 1 1 5 53 475 87 357 31 5 Atchison 10,134 26 o 1 3 22 350 99 238 13 1 Coffey ville 10,636 50 1 1 1 32 661 146 486 29 18,961 21 o 4 3 14 567 98 432 37 g Dodge City 25,416 173 1 1 1 35 1 26 1,344 231) 1,045 69 9 El Dorado 12,705 29 o 10 o 19 551 72 451 28 4 E nip on a 26,814 80 o 19 g 53 1,567 216 1,289 62 17 Garden City 27,756 190 o 18 1 1 161 1,823 380 1,349 94 24 Gardne r 10,731 54 o 1 44 438 77 339 22 g 19,964 23 1 2 3 17 724 196 500 28 1 Hutchinson 40,855 220 1 32 24 163 2,454 545 1,824 85 35 Junction City 17,803 136 1 1 1 19 105 1,475 198 1,234 43 10 Lawrence 81,833 365 3 37 59 266 4,205 810 3,222 173 Leavenworth 35,509 208 2 17 41 148 1,498 266 1,149 83 30 Liberal 20,138 83 0 9 9 65 1,157 276 824 57 g McPherson 13,813 26 0 6 2 18 264 60 193 1 1 4 Merriam 10,874 53 0 9 15 29 831 124 615 92 8 Newton 17,963 55 0 9 2 44 679 109 552 18 8 Ottawa 12,012 33 0 5 3 25 552 94 435 23 5 Parsons 11,321 66 0 1 9 56 715 203 491 21 2 Pittsburg 19,140 156 8 21 12 115 1,732 334 1,328 70 17 Prairie Village 21,825 25 0 0 4 21 320 75 233 12 7 Salina 46,098 142 10 31 11 90 3,168 366 2,707 95 31 Shawnee 52,863 83 0 13 16 54 1,476 236 1,107 133 14 Topeka 122,446 728 16 52 298 362 9,208 1,518 7,183 507 Wichita 2 356,123 2,227 18 216 556 1,437 19,518 3,825 14,284 1,409 139 See footnotes at end of table. OFFENSES REPORTED 145 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft KENTUCKY 5 Ashland 21,733 122 o I ] 19 92 1,143 182 913 48 5 Bowling Green 50,532 420 2 51 64 303 2,859 588 2,121 150 3 Florence 24,456 91 1 7 32 51 1,529 169 1,279 81 5 Hopkinsville 29,457 135 4 21 62 48 1,840 526 1,240 74 13 Lexington 265,224 1,242 18 122 518 584 11,565 2,694 8,129 742 41 Louisville Metro' 1 623,771 3,253 42 83 1,455 1,673 25,022 6,405 15,463 3,154 164 IVladi sonvi lie 19,357 65 2 12 5 46 1,080 176 836 68 g IVlurray 15,191 28 o 4 7 17 575 1(H) 455 20 2 Owensboro 54,506 172 () 7 53 1 12 2,687 537 2,049 101 3 Pa dll Call 25,733 23() 5 22 38 165 1,745 279 1,326 140 4 Radcliff 22,1 12 92 0 19 23 50 749 179 550 20 Richmond 28,264 63 1 g 22 32 1,526 237 1,203 86 4 LOUISIANA Alexandria. 45,996 970 g 13 194 755 4,491 1,275 3,013 203 o Baker 13,690 57 ] 3 12 41 662 113 508 41 2 Baton Rouge 226,391 2,839 41 1 17 1,039 1,642 15,897 3,887 10,403 1,607 180 Bo^alusa 13,104 144 2 7 39 96 980 317 619 44 1 Bossier City 57,331 476 4 31 97 344 3,491 644 2,517 330 22 Crowley 14,031 73 2 () 7 64 748 215 509 24 () Lu n ice 1 1 ,444 57 o 1 5 50 561 227 28 1 53 o 17,222 183 3 16 63 101 959 197 630 132 4 Houma 32,228 356 2 25 61 268 1,764 280 1,382 102 13 Jennings 10,818 77 o 3 12 62 462 13 1 316 15 7 Ke liner 70,717 291 4 17 69 201 2,801 362 2,119 320 Lafayette 111,612 1,251 7 325 166 753 6,624 1,197 4,955 472 25 Lake Charles 70,942 524 43 1 39 336 4,163 1,678 2,288 197 3 1 Mandeville 11 395 20 o o 7 1 ^ 467 62 384 2 1 4 IVlinden 13,286 37 2 2 7 26 322 74 229 19 o Morgan City 12,293 74 0 11 15 48 701 108 552 41 0 Natchitoches 17,768 221 3 15 38 165 1,229 366 812 51 2 New Iberia 32,605 250 1 4 43 202 1,629 237 1,306 86 4 New Orleans 475,128 4,596 274 213 2,071 2,038 24,477 4,879 12,726 6,872 Pineville 13,917 43 o 2 10 31 728 193 506 29 Ru ston 20,655 1 19 3 2 29 85 93 1 233 649 49 1 Shreveport 199,641 2,056 42 1 12 689 1,213 14,905 3,595 9,745 1,565 190 Slidell 26,547 163 o 12 49 102 1,990 227 1,610 153 o Thibodaux 14,558 93 o g 13 72 636 150 471 15 3 West Monroe 13,089 1 00 o 10 18 72 1,149 154 913 82 12 Westwe^o 10,615 55 o 4 18 33 315 55 225 35 2 MAINE Auburn 23,343 17 o 2 9 769 1 05 628 36 o Augusta 18,712 32 o 16 3 13 1,105 201 876 28 10 B an ^or 31,815 43 2 4 19 18 1,746 209 1,495 42 4 Biddeford 21,874 63 o IS 1 7 28 877 1 10 734 33 10 Brunswick 21,550 16 o 7 2 7 424 49 361 14 g Falmouth 10,599 1 o 1 o o 150 26 1 18 5 o G or ha in 14 747 o 2 1 5 278 73 193 12 2 Kennebunk 1 1 ,240 8 0 3 () 5 185 43 137 5 g Lewiston 35,958 79 2 36 29 12 1,330 235 1,035 60 12 Portland 64,438 242 1 51 101 89 3,036 676 2,191 169 30 Saco 17,787 11 0 4 3 4 538 62 450 26 3 Sanford 21,738 42 1 17 12 12 568 88 453 27 13 Scarborough 18,421 15 0 4 2 9 328 58 258 12 0 South Portland 23,457 43 0 11 9 23 1,214 108 1,065 41 2 Waterville 15,765 15 0 3 5 7 552 85 451 16 2 Westbrook 16,243 22 0 1 4 17 479 96 363 20 4 Windham 15,326 8 0 0 5 3 389 93 272 24 5 York 13,431 5 0 2 1 2 239 40 195 4 2 See footnotes at end of table. 146 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MARYLAND Aberd e e n 14,148 91 o 12 33 46 7S5 103 65 1 3 1 2 Annapolis 36,533 390 5 17 141 227 2,091 406 1,480 205 23 B4 o 18 () 76 338 107 213 18 3 San ci u 26,438 o 7 31 1,232 256 825 151 1 Scituate 18,168 4 o o o 4 147 38 100 9 o Seekonk 13,682 42 o 5 g 29 602 84 469 49 o Sharon 17,551 16 o o 1 15 75 12 56 7 2 Shrews bury 32,780 34 o 2 1 1 21 533 1 10 394 29 1 Somerset 18,670 42 1 4 I 36 326 61 244 2 1 3 Somerville 76,989 258 o 1 1 98 149 1,807 378 908 521 S o u thbr l dge 17,413 62 2 7 13 40 412 196 188 28 g South Hadley 17,263 35 o 3 5 27 240 46 179 15 4 Spencer 1 1 ,940 46 o 2 o 44 165 46 107 12 2 S pnn afield 152,048 2,914 15 1 15 847 1,937 1 1,628 2,647 6,414 2,567 169 Stone ham 22,184 37 o o 5 31 375 64 277 34 o S to ugh to n 27,251 1 16 o 10 12 94 435 13 1 238 66 4 Sudbury 17,274 7 o 4 1 2 109 16 91 2 o Swamp scott 14,474 3 o () {) g 206 35 160 1 J () Swansea 16,192 44 o 3 g 33 298 49 213 36 1 Tew k sbury 29,381 34 {) 1 o 33 408 5 i 312 45 1 Tyngsboro 11,340 33 o 1 4 28 191 36 132 23 2 Uxbridge 1 1,774 12 o 1 o 1 i 108 40 57 1 J 3 Wakefield 24,839 20 () 3 1 l 247 42 179 26 () Walpole 23,219 10 o 5 1 4 258 15 233 10 o ^^a 1 1 h a m 59,125 100 2 1 1 20 67 815 1 16 601 98 2 War eh a 20,953 o 13 691 235 386 70 () Way land 13,251 3 o o 1 2 102 12 89 ] o Webster 16,751 87 o g 1 1 68 332 94 190 48 5 ^Vellesley 26,694 30 o 3 2 25 25 1 60 183 g 4 Westborough 18,559 29 {) g 4 17 299 62 221 16 3 Westfield 40,349 149 {) 12 g 129 714 177 455 82 5 Westford 21,268 1 o o o 1 88 78 4 o ^Ve s tp ort 14 569 61 o 3 3 55 276 1 14 140 ?2 1 West Springfield 28,008 144 1 8 54 81 1,680 241 1,218 221 7 We st wood 14,193 15 0 0 5 10 155 15 136 4 1 Weymouth 54,802 187 0 10 38 139 837 142 591 104 Wilbraham 13,738 18 1 2 1 14 240 39 180 21 0 Wilmington 21,648 24 o 4 2 18 383 47 306 30 Winchester 21,1 1 1 9 o o 4 5 209 28 171 10 1 Wi n thro p - ^ 18,251 o 2 13 168 63 95 10 o Woburn 38,036 96 o 5 27 63 868 91 68 1 96 4 Wore ester 175,115 1,536 7 59 41 1 1,059 7,637 1,548 4,637 1,452 36 ^Vrentham. 10 961 2 o o ] 1 125 4 12 1 o o Yarmouth 25,258 167 0 14 14 139 650 247 380 23 MICHIGAN Adrian 21,422 100 0 16 10 74 976 128 809 39 4 Allen Park 29,233 44 0 4 12 28 768 141 473 154 3 Alpena 11,104 35 0 13 1 21 370 62 295 13 1 Ann Arbor 2 115,552 327 1 24 99 203 3,405 771 2,409 225 35 Auburn Hills 20,388 87 0 15 21 51 1,250 117 1,067 66 4 Battle Creek 53,808 691 2 69 122 498 3,766 791 2,745 230 35 Bay City 35,949 192 2 21 43 126 1,258 321 831 106 12 See footnotes at end of table. OFFENSES REPORTED 149 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MICHIGAN Continued Benton Harbor 11,084 321 2 14 28 277 674 239 344 91 19 Benton Township 16,259 90 o 17 16 57 901 120 721 60 5 Berkley 15,414 12 () 2 4 195 15 160 20 o Beverly Hills 10,341 5 o 1 () 4 1 30 17 105 g o Birmingham 19,337 15 1 o 4 10 489 58 388 43 3 Blackman Township 24,158 57 1 g 10 38 728 108 589 3 1 1 Bloomfield Township 42,720 35 {) 4 1 1 20 838 167 636 35 3 Bridgeport Township 1 1 ,609 50 o 4 17 29 303 71 213 19 5 Brownstown Township 25,486 75 o 13 12 50 713 163 461 89 Buena Vista Township 10,259 132 2 g 23 99 614 199 365 50 14 B urton 30,474 1 17 1 18 3 1 67 1,617 340 1,119 158 1 1 Cadillac 10,063 42 1 5 2 33 569 98 440 3 J 10 Canton Township 81,572 102 2 27 16 57 1,655 264 1,236 155 10 Chesterfield Township 40,490 28 ] 3 5 19 699 1 18 522 59 3 Clawson 12,605 7 0 1 3 3 169 21 133 15 1 Clinton Township- 96,271 349 () 30 58 261 2,352 421 1,621 310 28 Cold water 10 728 44 o 1 1 1 32 464 64 381 19 5 Davison Township 18,209 29 o 5 3 20 396 108 247 41 2 D e arb orn 98,121 1,099 o 13 144 942 5,098 525 3,257 1,316 25 Dearborn Heights 58,218 156 3 12 63 78 1,622 276 962 384 5 Detroit 2 927,766 18,724 366 814 5,817 11,727 64,809 14,100 25,353 25,356 1,744 Dewitt Township 12,91 1 25 o 4 5 16 240 54 158 28 o East Grand Rapids 10,708 4 () 1 3 0 181 44 132 5 1 East Lansing 46,408 229 4 18 31 176 1,369 257 1,040 72 26 Eastpointe 33,966 168 1 22 65 80 1,363 176 810 377 g Enirnett Township 12,051 59 o ^ 14 37 626 104 483 39 1 Far mm "ton 10,297 20 () 1 2 17 239 36 184 19 o Farmmgton Hills 81,666 146 0 18 26 102 1,751 355 1,236 160 16 Ee n ton 1 1,867 20 o 4 3 13 262 54 180 28 o Ferndale 21,922 93 o 1 1 26 56 738 146 430 162 3 Flint 2 122,121 1,484 28 124 338 994 6,714 2,063 3,353 1,298 98 Flint Township 33,586 187 1 18 65 103 2,416 414 1,779 223 10 Flushing Township 10,486 10 o 4 o 5 116 40 70 5 o 15,354 28 o 3 g 1 7 401 55 298 48 3 Garden City 29,968 75 o 15 54 715 133 468 114 5 Genesee Township 24,664 108 2 9 22 75 678 213 372 93 g Grand Blanc Township 32,794 69 o 9 g 52 704 179 454 71 3 Grand Haven 10,962 36 o 15 2 19 433 76 332 25 7 Grand Rapids- 197,173 2,070 1 1 68 533 1,458 9,326 2,048 6,569 709 89 Grand ville 16,647 44 o 13 1 1 20 1,028 88 912 28 5 Green G^ak Township 16,395 20 1 3 3 13 245 54 157 34 5 Grosse lie Township 10,973 1 o 1 0 o 64 g 55 1 o Grosse Pomte Park. 12,388 15 o o g 7 398 30 241 127 1 Grosse Pointe Woods 16,985 8 o o 3 5 254 30 193 3 1 o Hamburg Township 21,710 16 o 2 1 13 225 53 162 10 o Hamtramck 22,819 3 1 1 1 5 140 164 1,431 377 400 654 14 Harper Woods 14,175 61 o g 38 15 1,572 82 1,055 435 7 Hazel Pai"k 18,745 90 2 12 29 47 722 122 409 191 2 Holland 34,790 1 15 o 26 5 84 1,161 170 95 1 40 3 Huron Township 14 359 32 o 4 5 23 363 107 1 1 7 39 10 Inkster 29,983 362 7 13 65 277 909 326 364 219 20 Ionia 11,061 29 o 16 () 13 285 46 225 14 () J acKson 35 618 1 96 5 39 63 89 2 077 363 1 573 141 33 Kalamazoo Township 21,907 86 1 12 30 43 859 180 578 101 4 Kentwood 46,453 137 0 18 20 99 1,545 284 1,207 54 11 Lansing 118,937 1,220 8 164 208 840 5,149 1,016 3,677 456 47 Leoni Township 13,590 38 1 3 5 29 358 101 243 14 0 Lincoln Park 39,776 144 0 10 43 91 1,656 320 1,034 302 1 Lincoln Township 14,149 21 0 2 2 17 221 38 172 1 1 0 Livonia 100,636 185 0 13 56 116 2,506 389 1,846 271 26 Madison Heights 30,788 80 0 7 38 35 1,436 199 938 299 15 Marquette 20,607 19 0 9 0 10 460 65 373 22 3 Melvindale 10,687 24 0 2 9 13 264 51 153 60 2 Meridian Township 39,512 75 1 15 9 50 1,305 213 1,041 51 15 See footnotes at end of table. 150 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MICHIGAN Continued Midland 42,204 73 o 18 4 5 j 1,003 145 830 28 $ Milford 15,575 14 o g o 193 50 127 16 4 IVlonroe 22,094 90 1 16 18 55 738 147 561 30 5 Mount Clemens 17,41 1 64 o 3 24 37 696 1 16 499 8 1 4 Mount IVlorris Township 24,000 1 7 1 2 33 54 82 1,122 397 53 1 194 15 Mount Pleasant 26,094 53 o 9 4 40 690 101 555 34 3 IVlundy Township 12,998 22 o 1 g 13 573 82 456 35 2 Muskegon 39,547 332 1 52 48 231 2,631 478 1,937 216 g Muskegon Heights 1 1,892 256 o 10 44 202 1,194 246 735 213 17 IV^uskegon Township 18,126 60 o 14 (-, 40 1,039 107 872 60 5 12,009 74 o 17 g 49 729 132 543 54 3 Northville Township 22,898 16 o 2 o 14 593 92 45 1 50 2 Norton Shores 23,152 53 o g 13 32 1,028 102 870 56 4 49 258 45 2 7 1 5 2 1 1 385 200 1,100 85 4 Oak Park 29,513 142 1 10 42 89 1,023 194 584 245 1 Owosso 15,524 46 o 12 2 32 546 90 429 27 Pittsfield Township 3 1 ,970 64 1 1 1 12 40 1,150 147 863 140 4 Plymouth Township 28,617 33 o 2 7 24 511 80 385 46 2 Pontiac 66,331 912 g 73 156 675 2,356 796 1,151 409 34 Portage 45,330 101 o 9 15 77 2,137 321 1,725 91 7 Port Huron 32,399 193 0 23 23 147 1,197 202 906 89 g Redford Township 5 1 ,405 1 70 1 14 55 100 1,678 387 842 449 13 Ri v er v l ew 13,240 14 o ] 3 10 281 32 224 25 1 Rochester 10,802 1 o o o 1 182 17 153 12 2 Romulus 23,665 133 o 15 32 86 1,315 282 743 290 16 Roseville 48,478 157 o 10 56 91 2,394 323 1,617 454 5 Royal Oak 59,394 103 () 9 42 52 1,508 275 1,078 155 5 Saginaw 60,273 1,640 16 74 173 1,377 2,684 1,054 1,350 280 88 Saginaw Township 40,127 91 o 5 12 74 1,121 133 940 48 5 Sault Ste. Marie 14,306 25 () 3 4 18 433 41 354 38 1 Shelby Township 67 097 78 o 7 7 64 978 156 741 8 1 2 South field 78,088 1,072 2 34 139 897 4,379 754 2,499 1,126 5 Southgate 30,488 82 o 5 15 62 1,457 175 1,057 225 g South Lyon 10,695 12 o 3 o 9 178 3 i 139 g 1 St. Clair Shores 62,921 156 o 15 34 107 1,519 244 998 277 25 Sterling Heights 126,517 258 1 18 46 193 2,944 358 2,294 292 10 St Joseph Township 10,068 12 {) o 3 9 156 37 109 10 o 11,153 47 1 12 o 34 470 89 359 22 1 Summit Township 21,876 38 o 5 g 25 298 64 209 25 o Sumpter Township 12,020 34 o 9 o 25 261 67 157 37 o Taylor 66,087 267 2 40 58 167 3,1 15 466 2,095 554 31 Thomas Township 12,558 30 o 2 1 27 412 41 363 g o Traverse City 14,51 1 43 o 12 5 26 512 5 1 439 22 3 81,150 100 1 1 1 28 60 2,024 292 1,573 159 5 Van Buren Township 25,717 18 o 2 5 1 j 646 95 443 108 1 Walker 23,108 51 3 12 12 24 1,090 138 909 43 4 Warren 2 138,077 790 3 80 188 519 763 2,301 65 Waterford Township 73,865 163 1 40 28 94 1,563 306 1,094 163 14 Wayne 19,077 142 0 19 32 91 1,005 202 625 178 16 West Bloomfield Township 65,494 17 0 6 8 3 752 97 635 20 6 Westland 86,536 277 ] 38 43 195 2,718 635 1,552 53 1 46 White Lake Township 28,880 23 o 10 2 1 j 593 103 451 39 4 Wixom 13,569 34 o 13 2 19 383 40 301 42 2 Woodhaven 12,802 38 0 5 6 27 418 38 352 28 2 Wyandotte 27,927 53 0 7 16 30 854 151 587 116 7 Wyoming 70,535 33! 0 51 70 210 2,189 628 1,347 214 16 Ypsilanti 22,883 147 0 22 57 118 1,201 285 765 151 20 MINNESOTA Albert Lea 18,155 37 0 1 4 32 448 38 382 28 0 Anoka 18,081 41 0 17 9 15 685 101 537 47 7 Apple Valley 48,863 57 1 10 10 36 1,407 168 1,191 48 15 Austin 23,687 81 0 27 12 42 894 126 707 61 6 See footnotes at end of table. OFFENSES REPORTED 151 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MINNESOTA Continued Bemidji 12,472 44 2 g 4 30 996 55 884 57 3 Bloomrngton 84,756 149 1 24 52 72 3,569 332 2,988 249 19 Brainerd 13,417 66 o 24 4 38 952 155 740 57 32 Brooklyn Center 28,980 132 2 25 50 55 2,136 203 1,708 225 53 Brooklyn Park 68,666 266 2 40 68 156 3,007 591 2,094 322 28 Buffalo 11 747 29 o g 2 19 496 45 429 22 o Burnsville 60,507 88 1 23 28 36 1,863 183 1,559 121 13 Chaska 19,569 20 o g {) 1 J 373 45 315 13 19 Cloquet 11,41 1 21 o 1 3 17 344 39 282 23 C^ottLi^e Grove 31,336 46 o 9 5 32 798 101 665 32 25 Crystal 22,702 50 o 5 15 29 846 120 691 35 9 Duluth 87,102 290 4 53 83 150 4,794 773 3,640 38 1 19 64,553 65 o 16 24 25 1,529 21 1 1,238 80 7 Eden Prairie 57,794 48 () 14 1 33 1,367 189 1,132 46 14 47,486 30 o 5 15 10 1,061 164 867 30 1 Elk River 18,198 16 () 5 1 10 636 88 526 22 5 Fairmont 10,763 19 o 5 3 1 J 592 77 497 18 5 Faribault 21,509 65 o 19 4 42 834 170 627 37 12 Farming ton 14,837 g o 2 o 5 234 50 177 7 7 Fergus Falls 13,929 33 o 7 () 26 446 64 357 25 15 Forest Lake 15,217 1 ] o 4 {) 7 485 47 380 58 3 Golden Valley 20,885 49 o 7 25 1 7 680 130 493 57 7 Hastings 19,244 22 o 9 2 1 J 560 61 466 33 9 Hibbing 17,109 1 1 o 4 1 5 315 84 195 36 1 Hutchinson 13,348 29 o 12 2 15 55 1 50 473 28 2 Inver Grove Pieights 30,988 53 1 12 g 32 994 137 777 80 30 Lakeville 46,769 25 o 3 5 17 907 122 760 25 10 Mankato 33,420 62 o 23 14 25 1,788 273 1,441 74 4 IVlaple Grove 57,157 45 2 7 5 30 1,433 242 1,160 3 1 10 IV1 a pie wo od 35,994 89 1 5 25 57 2,762 242 2,321 199 21 Marshall 12,786 29 1 9 5 14 481 67 399 15 4 Minneapolis 378,602 4,517 46 384 2,192 1,895 20,405 4,482 12,404 3,519 249 IVlinnetonka 51,524 42 1 16 6 19 1,241 280 917 44 13 IV1 oo rhe ad 32,839 54 1 15 9 29 1,056 134 875 47 1 1 Mounds View 12,823 28 0 4 18 703 46 621 36 3 New Brighton 22,23 1 17 o 1 10 5 762 1 13 606 43 10 New Hope 20,762 38 o 1 1 7 20 572 78 469 25 2 New Ulm 13,571 16 o 3 o 13 354 53 288 13 2 North field 17,961 I 7 o 4 1 12 513 68 403 42 o North Mankato 12,148 5 () 4 1 () 235 5 217 13 5 North St. Paul 1 1,932 30 o 2 3 25 549 65 437 47 4 Oakdale 27,802 64 1 g 20 35 1,378 175 1,111 92 14 11,897 3 o o 1 2 182 27 147 g o Owatonna 23,186 41 () 5 4 32 662 121 517 24 9 Plymouth 67,836 67 o 17 1 1 39 1,792 391 1,338 63 1 1 Prior Lake 18,266 17 o 3 3 1 J 555 78 439 38 5 Red Wing 16,162 48 o 13 7 28 697 96 542 59 2 RirhfiplH 34 971 1 50 o 1 7 48 ^5 1 134 200 810 124 1 3 Robbinsdale 13,989 52 3 3 23 23 597 108 442 47 2 Ro c he s ter 91,230 257 o 59 47 151 3,004 477 2,360 167 47 Ro s emo u nt 16,390 16 o 2 2 12 447 63 366 18 3 Roseville 33,713 43 o 1 1 12 20 1,597 135 1,334 128 s Sartell 11,123 7 o o o 7 192 30 145 17 o Sauk Rapids 11,485 10 () 1 2 7 300 33 251 16 4 Savage 25,007 33 0 5 6 22 579 102 455 22 4 Shakopee 25,516 37 1 4 1 31 724 61 61 1 52 3 Shoreview 27,148 15 0 5 2 8 421 32 371 18 16 South Lake Minnetonka 12,397 16 1 3 0 12 173 26 133 14 7 South St. Paul 20,063 38 0 5 9 24 604 91 455 58 5 Stillwater 16,320 15 0 2 3 10 480 69 385 26 10 St. Louis Park 44,472 83 0 7 34 42 1,515 200 1,202 113 23 St. Paul 286,281 2,178 20 217 638 1,303 13,540 3,074 8,376 2,090 1% Vadnais Heights 13,327 9 0 2 2 5 286 23 230 33 5 White Bear Lake 24,658 17 0 3 3 11 816 140 615 61 5 See footnotes at end of table. 152 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MINNESOTA Continued Wi 11 in tir 18,224 48 o 10 5 32 785 124 634 27 2 Winona 26,747 25 o 3 t) 13 750 138 575 37 7 Wo o dbury 49,551 33 o g 7 18 1,109 1 16 952 41 4 Worth mgton 11,179 21 o 2 3 16 339 97 229 13 1 MTSSTSSTPPI B 1*3 n do ii 17,552 14 o 5 3 5 218 77 126 15 o Cleveland 13,442 38 o 5 15 18 994 334 628 32 5 Columbus 25,336 73 4 13 22 34 1,622 273 1,276 73 1 Greenville 40,419 370 13 19 140 198 4,040 1,101 2,749 190 49 Greenwood 17,832 64 2 2 25 35 1,233 343 845 45 2 Grenada 14,753 89 5 10 17 57 649 182 475 42 5 Gu If port 72,751 27() 1 1 48 147 64 5,737 1,181 4,091 465 24 Indianola 11,814 75 o 16 21 38 765 243 496 26 3 ] ackson 181,479 1,648 45 179 962 462 15,496 4,369 8,323 2,804 59 18,136 1 19 5 30 47 37 1,690 265 1,403 22 9 Long Beach 17,059 21 1 g i) 3 678 97 545 36 1 Madison 15,469 0 () 3 3 169 15 152 2 o McComb 13,226 95 o o 27 68 868 176 523 69 o Men dian 39,649 195 g 27 94 66 1,823 573 1,138 1 12 27 Moss Point 15,527 143 2 14 61 66 1,197 601 495 101 Natchez 17,923 57 2 10 18 27 1,220 186 1,011 23 3 Ocean Springs 17,363 26 o 10 g g 757 146 562 49 1 Olive Branch 23,448 77 2 12 28 35 840 248 504 88 3 Oxford 12,528 29 0 3 13 13 286 71 199 16 1 Pascagoula 26,076 136 1 46 72 17 1,947 696 1,114 137 8 Pearl 22,717 67 0 25 10 32 754 316 387 51 4 Picayune 10,686 50 1 5 1 1 33 721 1 1 1 576 34 4 Ridseland 20,761 40 3 ] 21 15 947 75 813 59 1 Southaven 33 271 68 o 3 47 1 8 1 995 164 1,633 1 98 S tark v die 22,277 55 o 3 18 34 1,170 232 897 41 1 Tupelo 35,091 90 1 19 32 38 1,966 379 1,446 141 4 Vi c k s bu r*^ 26,313 261 3 39 41 178 2,256 357 1,809 90 15 West Point 12,030 62 2 16 12 32 479 166 312 1 1 MTSSOITRT Arnold 20,074 32 1 2 23 1,198 66 1,098 34 1 Ballwin 31,441 15 () 2 4 9 330 53 254 23 7 Bellefontaine Neighbors 1 1 ,049 42 o o (-, 36 591 81 415 95 2 Belton 23,345 48 o 10 t) 29 766 1 14 599 53 3 Berkeley 10,016 121 3 7 27 84 639 1 1 1 366 162 Blue Springs 49,729 87 1 18 28 40 2,078 337 1,594 147 g Bndgeton 15,651 81 o 4 27 50 1,037 98 830 109 1 Cape Girardeau 35,866 82 1 13 37 3 1 2,025 284 1,681 60 5 Carthage 12,882 42 4 g (-, 24 397 81 289 27 o Chesterfield 47,391 45 1 3 5 36 917 149 749 19 7 Clayton 16,139 23 o o 5 17 498 59 409 30 4 Columbia 87,470 422 2 17 84 319 3,266 459 2,632 175 20 Crestwood 1 1 ,94 1 14 o o g 700 19 645 36 4 Creve Coeur 16,857 14 0 0 3 1 1 312 48 225 39 2 Excelsior Springs 11,201 56 o 5 5 45 546 127 382 37 14 Farmiiigton 14,164 108 0 2 7 99 499 42 438 19 3 Ferguson 22,256 108 1 11 46 50 1,399 192 895 312 1 Florissant 50,257 78 1 10 37 30 1,259 188 913 158 2 Fulton 12,839 52 2 5 9 36 337 44 276 17 3 Gladstone 26,929 46 0 3 17 26 812 174 542 96 16 Grandview 25,686 140 3 14 44 79 908 279 475 154 13 Hannibal 17,616 96 1 13 15 67 1,402 191 1,204 7 1 Hazelwood 26,188 121 2 8 23 88 902 161 600 141 0 Independence 113,663 757 2 43 107 605 8,364 1,328 6,080 956 47 Jackson 12,373 15 0 1 2 12 267 38 224 5 3 Jefferson City 39,299 276 3 27 21 225 1,326 190 1,064 72 12 See footnotes at end of table. OFFENSES REPORTED 153 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MISSOURI Continu ed Jennings 15,404 173 2 g 37 126 1,306 302 668 336 13 46,447 191 5 29 48 109 3,679 641 2,803 235 19 Kansas City 445,965 6,151 82 308 1,890 3,871 35,469 6,896 22,973 5,600 478 Kennett 11,219 75 () 6 5 64 430 95 323 12 0 Ki rk s v ille 17,379 66 0 7 1 58 605 101 485 19 4 Kirk wood 27,579 45 () 5 g 32 841 80 721 40 9 Lake St Louis 11,044 18 o 1 1 16 200 18 171 1 J 2 Let) tin on 12,456 58 1 5 2 50 714 90 588 36 3 Lee's Summit 75,370 70 1 16 31 22 2,318 377 1,808 133 16 Liberty 27 687 89 o 3 g 78 577 89 443 45 4 Manchester 19,294 10 o 2 6 2 23() 35 182 13 1 Marshall 12,157 2 o 1 1 0 260 64 188 g 4 Maryland Heights 25,927 30 2 2 14 12 1,124 159 88 1 84 3 N^ary vdle 10,624 14 0 3 1 10 161 [2 143 6 0 Mexico 11,073 2| 1 4 4 12 241 54 178 9 0 Moberly 13,689 25 1 5 3 16 759 1 14 628 17 4 Neosho 10,657 56 0 1 2 53 556 94 441 21 0 Nixa 13,748 21 () 2 2 17 304 42 250 12 4 O" Fallon 60,014 68 0 5 13 50 1,638 180 1,413 45 2 Overland 16,699 54 0 4 22 28 912 154 698 60 0 Ozark 11,717 10 () 0 () 10 402 5 1 316 35 0 Pnnlnr Rlnff 16 688 77 1 10 20 46 1 104 194 86^ 47 R ay m o re 12,683 12 o 3 0 9 288 29 248 1 J 1 R ay tow n 30,229 76 1 9 19 47 1,133 281 740 1 12 5 Rolla 17,057 44 1 4 13 26 926 165 732 29 2 Sedal la 20,339 194 o 5 14 174 1,642 357 1,227 58 2 S ikes ton 16,960 76 3 10 1 7 46 725 130 564 31 1 1 Springfield 151,859 1,038 6 73 171 788 12,351 1,833 9,754 764 74 St. Ann 13,608 110 2 4 19 85 957 63 787 107 3 St. Charles 61,097 1 93 0 15 35 143 2,016 238 1,577 201 18 St. Joseph 73,559 167 1 16 68 82 4,907 924 3,729 254 22 St. Louis 340,256 6,325 73 75 2,303 3,874 40,310 5,889 23,747 10,674 470 St. Peters 53,897 116 1 8 30 77 1,431 169 1,186 76 3 Town and Country 11,013 10 0 0 4 6 236 25 203 8 3 University City 38,064 174 4 14 83 73 2,310 265 1,730 315 7 Warre n s bu rg 17 033 34 0 2 2 30 410 81) 306 24 3 Washington 13,537 27 0 2 0 25 316 30 274 12 3 Webb City 10,208 13 0 4 2 7 296 51 228 17 4 Webster Groves 23,546 20 0 1 11 8 363 62 263 38 4 Wentzville 10,048 38 0 8 5 25 400 39 338 23 1 West Plains 10,896 32 1 3 2 26 721 140 559 22 3 MONTANA Billings 92,834 230 3 19 66 142 4,959 577 4,048 334 0 B ozeman 29,724 82 o g g 66 1,483 134 1,271 78 0 Great Falls 56,549 293 5 13 58 217 4,056 376 3,534 146 o Kalispell 15,602 56 2 0 5 49 909 65 811 33 3 NEBRASKA Beatrice 12,880 25 () 6 4 15 563 78 470 15 4 Columbus 20 999 9 o 2 3 4 534 72 446 16 1 Fremont 25,335 32 0 3 7 22 968 136 782 50 3 Grand Island 43,261 134 3 19 16 96 2,756 349 2,317 90 0 Hastings 24,048 31 2 9 3 17 1,096 144 910 42 11 Kearney 28,073 80 0 5 6 69 1,089 184 855 50 10 La Vista 13,036 14 0 1 4 9 514 37 440 37 7 Lexington 10,177 23 0 10 3 10 400 93 281 26 0 Lincoln 233,721 1,114 5 94 153 862 13,487 1,959 11,049 479 9 Norfolk 24,324 38 1 21 5 11 1,107 130 944 33 3 Omaha 401,692 2,627 35 179 896 1,517 24,512 3,449 16,869 4,194 210 Scottsbluff 14,775 32 0 2 6 24 905 93 768 44 3 South Sioux City 12,039 5 0 1 2 2 221 33 172 16 0 See footnotes at end of table. 154 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEVADA Boulder City 15,842 37 2 1 3 31 284 1 16 140 28 5 Elko 16,785 29 0 5 11 13 545 128 385 32 3 Henderson 212,571 429 10 104 103 212 5,689 1,441 2,884 1,364 46 Las Vegas Metropolitan Police Dep ar tme n t 1,189,388 9,158 141 5 1 1 3,955 4,551 57,552 12,782 30,052 14,718 280 IVlescjuite 11,615 18 1 0 4 13 272 10 228 34 0 M nrth \ 'ak Vp a 'a < 140,133 1,158 18 48 332 760 6,1 10 1,642 2,687 1,781 49 196,171 1,255 1 i 89 493 662 11,231 1,976 7,708 1,547 41 par s 76,025 358 3 44 102 209 3,756 828 2,482 446 NEW HAMPSHIRE 2 Bedford 20,039 7 o 0 3 4 171 27 134 10 () 10,310 27 1 K) 1 15 174 35 133 5 2 Claremont 13,326 22 o 5 3 13 276 29 23 1 16 0 Deny 34,877 70 () 21 14 35 790 122 572 96 27 28,059 19 o g 3 g 554 56 47 1 27 5 Exeter 14,468 14 o 5 2 7 212 20 180 12 2 Hampton 15,307 34 o 13 13 481 53 390 38 3 Hanover 11,233 1 {) 0 1 0 96 20 70 5 2 Hooksett 12,556 1 1 o 4 5 2 377 50 316 1 | 7 Hudson 23 709 14 o 1 2 1 J 340 55 253 32 5 22,939 36 2 10 5 18 639 87 533 19 18 Laconia 17,117 31 0 7 6 18 654 94 525 35 5 Lebanon 12,915 4 0 0 0 4 182 23 154 5 1 Londonderry 24,459 23 0 2 8 13 297 48 214 35 6 Manchester 109,472 301 4 61 158 78 3,414 659 2,431 324 33 1V1 ern mac k 26,710 o o 0 () () 298 24 262 12 0 Milford 14,160 22 o 5 3 13 209 29 166 14 4 Pelham 1 1,788 9 o 1 2 5 221 54 144 23 0 Ports m o Lit h 21,257 63 o 10 15 38 622 64 507 5 J 14 Rochester 29,641 75 1 40 12 22 789 85 682 22 1 Somers worth 1 1 874 21 o ] 1 1 g 493 35 441 17 5 ^Vindham 1 1 ,969 9 o 1 0 g 200 67 1 15 18 3 NEW JERSEY Aberdeen Township 18,722 29 o 2 7 20 312 75 21 1 26 3 Asbury Park 16,889 377 2 7 1 82 186 913 261 562 90 2 Atlantic City 40,397 600 5 23 276 296 4,854 596 4,094 164 6 Barne^at Township 16,497 42 o 2 5 35 208 32 168 g 2 Bay on ne 61,950 245 1 9 93 142 1,049 212 672 165 4 Beach wood 10,688 14 o 0 0 14 175 27 142 5 0 Belleville 36,066 133 1 1 1 42 79 1,045 230 503 312 2 Bellmawr 11,328 20 1 0 10 9 213 48 144 2 | 0 Bergenfield 26,362 26 o () 12 14 290 42 230 18 1 Berkeley Heights Township 13,678 4 o 1 () 3 125 37 80 g 1 Berkeley Township 42,181 61 {) 4 g 49 604 107 470 27 7 Bernards Township 25,605 o 1 3 2 165 54 104 7 5 Bloomfield 47,792 165 o 5 94 66 1,891 273 1,052 566 5 Bound Brook 10,252 9 () 2 5 2 284 64 209 1 1 3 Branchburg Township 14,950 5 o 2 2 1 1 13 16 91 6 0 Brick Township 78,269 91 o 0 14 77 1,296 250 999 47 3 Bridgeton 22,780 385 6 21 125 233 1,032 320 613 99 1 Bridgewater Township 44,377 19 0 0 8 1 1 659 92 516 51 0 Brigantine 12,675 15 0 0 1 14 184 66 107 1 1 0 Burlington Township 21,500 41 0 5 22 14 490 57 398 35 4 Camden 80,132 1,925 41 56 856 972 5,279 1,459 2,671 1,149 201 Carteret 21,761 75 0 11 21 43 411 96 247 68 1 Cedar Grove Township 12,397 8 0 0 0 8 242 31 190 21 0 Chatham Township 10,111 2 0 0 1 1 77 17 58 2 0 Cherry Hill Township 70,702 107 0 8 39 60 2,180 197 1,804 179 6 Cinnaminson Township 14,928 21 1 0 9 1 1 390 52 303 35 4 Clark Township 14,862 10 0 0 1 9 184 29 140 15 1 See footnotes at end of table. OFFENSES REPORTED 155 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEW JERSEY Continued Cliffside Park 23,083 36 0 1 4 3 J 1 86 37 126 23 0 Clifton 80,072 197 0 1 1 84 102 2,068 329 1,355 384 4 Coll mgs wood 14,341 43 () g 17 18 407 80 291 36 2 Colts Neck Township 12,735 15 () 1 1 13 103 17 80 6 1 Cranford Township 22,927 19 o 7 3 g 299 46 235 18 0 Delran Township 16,161 23 o o 10 13 385 65 296 24 0 Denville Township 15,991 1 1 o o 2 9 189 37 147 5 o Deptford Township 27,566 136 2 1 46 87 1,408 225 1,080 103 6 18,209 55 () 2 19 34 371 98 245 28 1 Dover Township 93,410 150 1 12 38 99 2,070 329 1.658 83 22 Duinont 17,631 14 () 1 2 1 | 194 29 157 8 () East Brunswick Township 48,351 37 1 4 13 |9 972 143 752 77 4 East Hanover Township 11,498 1 1 () o 1 10 293 27 242 24 () East Orange 70,141 1,394 22 30 647 695 4,757 1,059 1.930 1.768 78 East Windsor Township 26,658 29 1 3 9 16 420 81 311 28 2 Eatontown 14,165 31 () 1 10 20 559 54 489 16 1 Edison Township 100,484 285 ] 1 1 1 15 158 2,633 465 1.755 413 1 1 l^gg Harbor Township 33,569 1 1 1 1 13 30 67 1,086 245 793 48 16 Elizabeth 123 970 757 14 14 5^5 T()4 5 730 1118 2 956 1 656 1 6 Elm wood Park 19,067 52 () 2 27 23 495 67 385 43 () Englewood 26,305 68 1 27 34 525 121 344 60 7 Evesham Township 44,804 32 1 10 10 1 1 721 127 558 36 9 E wing Township 36,355 120 () 14 55 5 1 1,078 178 772 128 2 Fair Lawn 31,808 32 1 2 9 20 401 68 313 20 0 Fairview 13,438 20 0 () () 20 97 17 52 28 0 Florence Township 1 1 ,242 21 o 2 9 10 149 39 92 18 6 i ini Park 12,316 o 2 1 3 128 14 101 13 0 Fort Lee 37,170 8 () 1 7 () 513 101 365 47 2 Franklin Lakes 11,117 1 o o 0 1 1 37 17 120 0 0 Franklin Township (Gloucester County) 15,898 33 1 o 7 25 319 1 12 174 33 4 Franklin Township (Somerset County) 55,970 85 () 7 49 29 986 269 621 96 8 Freehold 1 1 571 55 2 3 15 35 339 66 261 12 2 Freehold Township 33,519 49 o 5 17 27 908 70 808 30 5 Galloway Township 33,781 67 5 5 18 39 660 121 503 36 16 Garfield 29,932 55 1 o 27 27 604 92 372 140 2 Glassboro 19,157 87 2 g 32 45 731 153 549 29 4 Glen Rock 11,592 7 0 o 3 4 1 28 26 102 0 0 Gloucester City 11,521 29 1 2 |3 13 312 58 223 3 1 1 Gloucester Township 66 056 197 0 23 48 126 1,564 390 1 .063 1 1 1 20 G utt e nb erg 11,137 68 0 1 28 39 200 64 118 18 9 Hackensack 43,769 155 1 2 65 87 1,134 95 889 150 3 Hackettstown 10,820 14 () 1 3 10 151 17 126 8 0 Haddonfield 11,705 6 1 1 3 1 151 II) 138 3 1 Haddon Township 14,776 21 0 2 1 J 354 70 258 26 2 Hamilton Township {.Atlantic County) 22,091 62 1 4 19 38 863 1 14 706 43 9 Hamilton Township {JVlercer County) 89,392 1 18 1 3 77 37 1,735 344 1,149 242 4 Hammonton 12,912 24 0 o 7 17 286 52 221 13 1 Hanover Township 12,990 12 () 1 5 5 145 53 8 1 1 J 3 Harrison 14,459 52 () o 23 29 361 61 174 126 2 Hasbrouck Heights 11,712 10 1) () 5 5 145 18 1 1 1 16 0 H aw thorne 18 452 14 o o 10 4 252 50 1 8 1 2 1 o Hazlet Township 21,523 4 0 0 2 2 268 23 216 29 0 Highland Park 14,305 14 0 1 6 7 250 69 160 21 0 Hillsborough Township 37,918 19 0 3 5 1 1 420 92 312 16 4 Hillsdale 10,156 5 0 0 2 3 102 9 89 4 0 Hillside Township 22,116 103 3 6 55 39 890 230 430 230 1 Hoboken 39,728 140 1 2 62 75 1,493 375 855 263 1 Holmdel Township 16,671 10 0 0 3 7 261 24 227 10 0 Hopatcong 16,069 10 0 2 0 8 158 30 121 7 4 Hopewell Township 16,688 8 0 2 0 6 79 17 58 4 0 Howell Township 50,318 68 0 2 12 54 558 71 449 38 4 Irvington 60,855 1,497 27 45 766 659 3,613 898 1,266 1,449 23 See footnotes at end of table. 156 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime violent clinic Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEW JERSEY Continued Jackson Township 47,846 37 1 2 4 30 572 89 433 50 1 1 Jefferson Township 20,027 3 o o 3 5 201 48 145 g 2 Jersey City 241,443 2,927 24 98 1,416 1,389 8,814 2,191 4,564 2,059 50 Ke 3.n s burg 10,873 63 0 o 12 51 291 66 205 20 2 Kearny 40,526 97 1 4 46 46 1,209 232 770 207 g Lacey Township 26,317 21 o o 5 16 476 78 372 26 0 Lakewood Township 65,585 194 2 12 78 102 1,596 448 1,031 1 17 g Lawrence Township 30,689 75 0 4 29 42 978 136 765 77 2 Lincoln Park. 10,928 2 () o 1 1 80 21 5 1 g 2 Linden 40,226 1 10 3 0 65 42 1,804 281 1,139 384 7 Linden wold 17,491 1 15 3 g 49 54 712 264 375 73 5 Little Egg Harbor Township 17,794 27 o 2 1 24 388 64 308 16 4 Little Falls Township 12,002 23 () 3 4 16 402 82 276 44 1 Little Ferry 10,865 g o 1 1 1 17 17 75 25 () Livingston Township 27,871 29 o 3 6 20 528 66 41 1 5 1 2 Lodi 24,276 34 2 o t) 23 416 48 296 72 1 Long Branch 3 1 ,748 139 ] 4 55 79 773 291 433 49 5 Lower Township 22,785 38 () 4 7 27 51 1 105 372 34 9 Lumberton Township 11,698 24 o 2 7 15 384 46 324 14 5 Lyndhurst Township 19,536 20 o 1 9 10 373 60 267 46 0 Madison 15,442 1 1 o 3 2 6 149 23 1 18 g 2 Mahwah Township 24,503 25 o o 5 20 203 I i 181 1 J 1 Manalapan Township 35,665 21 1 0 6 14 277 50 216 1 1 1 IVlanchester Township 41,663 25 o o 5 20 367 73 280 14 3 Mantua Township 14,281 19 1 3 6 9 333 65 245 23 0 Manville 10,508 1 o 2 5 250 30 207 13 1 Maple Shade Township 19,262 52 () 10 17 25 421 78 273 70 2 Maplewood Township 23,944 84 1 5 46 32 693 99 439 155 0 Marlboro Township 38,539 15 1 1 g 7 374 71 287 16 4 Medford Township 23,176 12 () () 2 10 335 71 238 26 5 IV^etuchen 13,316 16 o ] 4 1 J 249 66 167 16 0 Middlesex 14,052 15 o o 4 1 | 1 83 20 149 14 1 IVliddle Township 16,810 91 1 6 18 66 588 158 388 42 g IVJiddletown Township 66,128 37 o 5 4 28 797 164 584 49 o Millburn Township 19,904 30 1 2 22 5 715 77 527 1 1 1 1 Millville 27,068 229 3 28 77 121 1,480 382 1,017 8 1 16 Monroe Township (Gloucester County) 29,687 45 o 4 17 24 700 176 426 98 4 IVlonroe Township (N4iddlesex County) 30,483 16 o o 2 14 241 32 201 g 1 Montclair 39,006 126 1 3 55 67 1,261 282 674 305 0 IVlont^otnery Township 18 877 9 o o 2 7 150 16 126 g 2 IVlontville Township 21.177 9 o 1 1 7 223 42 155 26 1 Moorestown Township 19,803 30 o 3 22 5 470 41 413 16 1 M or r l s to w n 18,936 125 1 5 57 62 666 128 495 43 2 IVlorns Township 21,459 16 o 4 () 12 175 30 138 7 () Mount Holly Township 10,805 93 2 o 32 59 405 72 31 1 22 1 IVlount Laurel Township 40,665 42 1 4 16 21 775 144 582 49 5 Mount Olive Township 25,146 1 1 () 1 1 9 305 47 245 13 5 Neptune Township 32,852 1 1 1 2 3 41 65 1,259 264 88 1 1 14 2 Newark 278,551 2,731 8 1 S5 1,304 1,261 13,861 2,281 5,562 6,018 238 New Brunswick. 49,674 336 g 15 188 125 2,383 535 1,549 299 1 1 New Milford 16,478 5 () 1 0 4 96 16 75 5 2 New Providence 12,1 12 3 o o () 3 127 28 93 6 () North .Arlington 15,305 24 o 2 7 15 165 26 124 15 1 North Bergen Township 59,364 135 2 8 73 52 1,298 221 781 296 12 North Brunswick Township 38,342 97 0 2 36 59 1,074 193 792 89 9 North Plainfield 21,308 65 0 11 32 22 546 131 342 73 6 Nutley Township 28,327 47 1 0 14 32 474 104 314 56 2 Oakland 13,356 10 0 1 1 8 135 15 116 4 1 Ocean City 15,603 23 0 2 9 12 875 162 706 7 2 Ocean Township (Monmouth County) 27,464 44 0 2 17 25 712 120 565 27 6 Old Bridge Township 63,415 74 2 3 23 46 1,017 212 658 147 8 Orange 33,028 406 2 8 234 162 2,130 425 943 762 9 Palisades Park 17,901 20 2 1 7 10 136 37 83 16 1 Paramus 26,422 96 0 6 38 52 2,038 112 1,722 204 10 See footnotes at end of table. OFFENSES REPORTED 157 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Vial cnl crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEW JERSEY Continued Par sipp any -Troy Hills Township 51,232 25 1 () 1 1 13 847 204 547 96 3 PaSSHIC 68,828 770 4 2 355 409 2,087 323 1,190 574 1 1 Pater son 151,593 1,241 20 35 674 512 5,188 1,466 2,439 1,283 26 Pemberton Township 28,933 80 0 4 25 5 1 597 160 391 46 10 Pennsauken Township 35,983 213 1 14 1 19 79 1,194 261 710 223 1 1 Pennsville Township 13,194 27 () 2 4 21 320 32 279 9 1 Pecjuannock Township 14,221 5 o o 0 5 225 22 175 28 4 Perth Amboy 48,413 232 1 3 89 139 1,380 281 863 236 3 Phillipsburg 15,330 34 o 3 16 15 248 64 161 23 2 Pine Hill 1 1 ,008 40 o 3 10 27 221 45 162 14 4 Piscataway Township 51,952 77 3 5 21 48 1,089 177 843 69 1 1 Plainfield 48,543 519 5 17 276 22 1 1,844 452 1,033 359 10 Plainsboro Township 21,105 13 () 1 3 9 185 37 135 13 2 Pleas an tville 19,114 1 77 4 1 72 1 00 626 168 399 59 5 Pi >i ill Plt';lvl lli 19,778 10 o 1 0 g 322 76 239 7 1 Pompton Lakes 10,958 12 () 2 () 10 150 26 1 13 1 1 () Princeton 14,315 17 o o g 9 461 102 349 10 0 Princeton Township 16,683 4 o 1 1 2 157 35 1 19 3 3 Railway 27,060 82 2 2 49 29 71 1 154 457 100 5 Ramsey 14,579 14 () 2 4 g 173 I 1 150 12 2 Randolph Township 25,607 16 0 () 1 15 262 37 218 7 2 Rantan Township 21 128 1 1 o o 2 9 1 70 2 ^ 1 ^2 1 5 o Readington Township 16,302 4 () () () 4 154 44 102 g 3 Red Bank 1 1 ,905 39 o 3 21 15 274 30 234 10 0 Ridge fi e 1 d 10,990 10 o o 1 9 73 19 33 2 | 1 Ridgefield Park 12,895 17 o 5 5 7 224 49 152 23 1 Ridsewood 25,016 10 o 2 5 3 255 53 199 3 0 Ring wood 12,696 5 1 () 1 3 87 27 57 3 o River Edge 1 1 ,050 7 o 1 4 2 1 15 20 88 7 1 Rockaway Township 24,636 28 2 1 12 13 488 46 416 26 1 Roselle 2 1 ,660 56 o 3 34 19 508 151 272 85 o Roselle Park 13,463 27 o 0 12 15 275 1 13 139 23 o Roxbury Township 23,852 21 o o 4 17 296 38 234 24 2 Rut hcrf ord 18,148 5 1 o 1 3 258 48 175 35 o Saddle Brook Township 13,235 13 o () 7 263 31 200 32 1 Sayreville 42,002 78 o 9 16 53 755 173 484 98 9 Scotch Plains Township 23,179 15 {) 2 7 ft 321 66 229 26 0 Secaucus 15 971 10 1 o 7 2 744 27 567 150 0 Somers Point 1 1 ,600 33 o 1 7 25 324 82 232 10 2 Somerville 12,530 30 1 1 9 19 310 61 236 13 1 South Brunswick Township 40,101 38 1 1 9 27 632 165 408 59 1 South Oiiiivc 17,082 66 o 3 36 27 596 85 292 219 0 South Plainfield 23,024 47 1 7 15 24 462 77 35 J 34 5 South River 15,918 38 o 1 13 24 209 79 1 13 1 7 2 Sparta Township 18,871 10 o 0 1 9 76 g 65 3 () Springfield 14,836 17 o 2 10 5 345 37 220 88 2 Stafford Township 23,918 28 o 5 1 22 513 85 407 21 5 S u ni in 1 1 21,454 g {) 1 2 5 329 61 239 29 0 Teaneck Township 39,388 1 12 o 2 43 67 772 252 480 40 13 Tenafly 14,029 o o o 0 0 144 38 97 9 0 Tinton Falls 15,797 10 o 2 1 7 244 41 187 16 2 To tow a 10,066 1 i o 1 4 339 37 269 33 0 Trenton 86,130 1,518 13 36 645 824 4,677 1,073 2,514 1,090 26 Union City 67,277 332 6 16 176 134 1,790 453 893 444 0 Union Township 55,849 161 1 9 89 62 2,022 349 1,281 392 2 Ventnor City 12,898 20 1 1 X 10 291 85 197 9 2 Vernon Township 25,377 10 0 1 0 9 250 38 202 10 1 Verona 13,582 9 0 1 1 7 182 50 108 24 0 Vineland 56,655 416 4 16 169 227 3,039 747 2,127 165 8 Voorhees Township 28,629 62 0 9 17 36 770 90 652 28 8 Wellington 11,618 12 0 1 5 6 168 24 121 23 0 Wall Township 26,193 31 0 1 6 24 415 91 31 1 13 1 Wanaque 10,426 10 0 0 0 10 133 27 97 9 0 Warren Township 15,300 3 0 0 2 1 136 23 110 3 0 See footnotes at end of table. 158 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEW JERSEY Continued Washington Township (Gloucester County) 49,687 64 0 3 36 25 1,224 445 704 75 9 Washington Township (Mercer County) 10,885 7 () 0 1 6 1 19 19 87 13 1 Washington Township (Morris County) 18,225 7 0 0 0 7 156 38 103 15 1 Waterford Township 10,686 26 0 4 1 21 149 32 1 10 7 3 ^Vayne Township 55,241 39 0 2 29 1,480 105 1,204 171 1 Weehawken Township 13,486 34 () () 21 13 424 69 265 90 1 West Caldwell Township 1 1,289 2 0 0 2 0 140 16 1 15 9 1 West Deptford Township 19,849 31 () 2 13 16 488 76 383 29 5 Westfield 30,196 12 o 1 7 4 327 43 27 1 13 3 West Milford Township 27,765 19 0 7 2 10 422 125 285 12 3 West New York 47,146 137 1 0 59 77 936 267 461 208 2 West Orange 45,512 81 1 1 49 30 1,394 270 753 371 2 West Paterson 11,263 22 0 4 5 13 222 43 150 29 2 West Windsor Township 23,561 17 o 0 g 9 504 67 398 39 2 West wood 1 1,078 20 o o 5 15 95 14 77 4 0 ^Vilhngboro Township 33,220 151 2 5 60 84 728 205 449 74 5 Winslow Township 35,150 167 o 1 1 27 129 772 214 510 48 12 Woodbndge Township 100,982 348 4 17 72 255 3,275 643 2,259 373 31 ^Vo o dbu r y 10,497 49 1 5 18 25 485 77 374 34 2 Wyckoff Township 16,956 1 1 0 0 0 1 J 124 17 106 ] 0 NEW MEXICO Alamo CT ordo 35,477 93 1 4 g 80 927 135 758 34 0 A 1 bucj u ercj ue 468,764 4,439 5 1 263 1,080 3,045 29,294 5,543 19,663 4,088 65 Carlsbad 25,462 155 1 4 10 140 1,310 268 982 60 Denun tr 14,275 99 1 5 7 86 915 287 552 76 7 Farmington 40,991 434 3 53 24 354 1,493 389 974 130 13 Gallup 20,390 380 0 18 65 297 2,458 259 2,077 122 3 Hobbs 28,779 325 1 22 34 268 1,788 372 1,357 59 Las Cruces 75,806 415 1 83 99 232 4,089 808 3,036 245 13 Las Vegas 14,373 185 5 1 { 16 153 835 203 569 63 10 Portales 11,215 37 0 1 5 3 J 547 1 10 419 18 1 Rio Rancho 57,21 1 193 1 31 12 149 1,353 283 968 102 2 Ros well 44,522 477 7 41 48 38 1 3,298 724 2,444 130 24 Santa Fe 65,814 387 g 40 104 234 4,671 2,301 2,137 233 25 Silver City 10,321 48 1 3 38 673 168 477 28 () Sunland Rai k 13 738 22 o 0 19 192 44 140 g 0 NEW YORK Albany 93,938 1,160 x 33 383 736 4,990 1,302 3,274 414 44 A iTihf*rtt Tnvi/n rtlllllCl c^L 1 U W 11 111 945 1 20 1 40 74 1 977 176 1 735 66 A in s te r d am 18,096 24 o 2 3 19 199 54 141 4 Auburn 28,234 77 o 20 13 44 1,012 2()3 800 9 Batavia 15,967 58 o 7 17 34 762 1 14 647 1 Beacon 13,978 53 o 4 13 36 289 90 170 29 Bedford Town 18,554 22 o 0 2 20 174 26 131 17 Bethlehem Town 32,053 23 o 2 7 14 491 84 391 16 B inghamton 46 815 1 82 3 10 77 92 1 947 2 1 3 1 683 5 [ Blooming Grove Town 11,750 5 0 3 0 2 144 28 103 13 Brighton Town 35,303 25 0 3 18 4 961 144 723 94 Buffalo 288,187 3,701 63 203 1,625 1,810 15,862 4,154 9,180 2,528 Camillus Town and Village 23,366 11 0 0 2 9 347 37 301 9 Carmel Town 34,025 20 0 0 6 14 342 49 278 15 Cheektowaga Town 83,006 159 1 19 63 76 2,909 366 2,323 220 Cicero Town 26,734 9 0 0 1 8 567 101 436 30 Clarkstown Town 79,143 133 0 2 43 88 2,050 202 1,758 90 Clay Town 54,318 7 0 0 4 3 437 57 378 2 Cohoes 15,359 54 0 1 4 49 192 58 114 20 Colonie Town 76,211 48 0 12 22 14 2,746 371 2,272 103 See footnotes at end of table. OFFENSES REPORTED 159 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEW YORK Continued Corning 10,734 23 0 5 3 15 375 30 337 3 Cortland 18,831 63 o 15 16 32 563 104 438 2 1 Depew Villtigc 16,374 19 o 3 7 346 49 268 29 Dewitt Town 22,019 43 o 2 18 23 656 127 509 20 Dobbs Ferry Village 10,975 3 o o 5 3 1 j i 16 84 1 j Du.nk.irlc 12,863 44 1 1 15 27 391 55 330 East Aurora - Anror a Town 13,978 {) 1 2 3 162 20 137 5 Eastchester Town 18,795 30 o o g 22 358 19 32 1 18 East Fishkill Town 27,054 38 o 1 2 35 335 55 268 12 East Greenbush Town 15,846 33 o 1 12 20 309 30 272 7 East Hampton Town 18,442 3 o 1 1 5 438 94 325 19 Endicott Village 12,908 40 o 5 3 32 522 72 436 14 Evans Town 15,292 21 1 2 1 1 7 233 49 174 10 Fallsbur** Town 1 1,480 53 o 3 4 46 178 76 98 4 • 1 1 1 Tow n 18,780 16 o 3 2 1 i 306 3 i 258 17 Floral Park Village 16,001 13 o o g 5 1 03 23 73 7 Fredoma Villase 10,668 18 o 2 4 12 273 18 249 5 Freeport Village 44,053 182 1 12 76 93 969 150 614 2()5 Fulton City 11,701 26 1 1 2 22 506 64 430 12 Garden City Village 21,737 13 o o 7 5 275 17 241 17 Gates Town 29,221 37 o 1 3 1 5 1,213 128 950 135 Cecities Town 10,891 3 1 o 3 4 244 35 202 7 Geneva 13,580 28 o 3 2 23 375 21 346 3 Glens Falls 14,218 35 o 1 (-, 28 367 59 299 Gloversville 15,280 38 1 3 3 3 j 640 90 523 27 Greece Town 94 667 74 2 1 5 42 1 5 2 296 ^98 1 815 1 8 i Greenbui -tT h Town 43,546 51 o o 28 23 1,009 1 1 1 824 74 Gui lderland Town 32,949 23 o 0 7 16 1,047 89 938 20 Hamburg Town 44,191 20 o 1 3 1 j 649 96 525 28 Harrison Town 24,993 10 {) 3 o 7 342 38 297 7 Haverstraw Town 24,624 102 o 3 1 1 88 307 57 24() 10 Haverstraw Village 10,170 73 o o 15 58 197 37 143 17 Hyde Park Town 21,056 9 o 3 3 3 101 13 83 5 Irondecjuoit Town 52,378 91 {) 5 65 21 2,060 295 1,558 207 J ame s tow n 31,086 164 o 18 41 105 1,225 325 816 S4 Kenmore Village 16,127 23 o 1 14 3 272 57 188 27 K.ent Town 14,351 4 o o o 4 182 33 145 4 Kingston 23,387 1 18 1 7 62 48 1,124 176 873 75 Lancaster Town 22,422 1 1 o 1 5 4 299 26 255 18 Lewiston Town and Village 16,192 14 o 2 2 10 187 37 136 14 Lynbrook Village 19,967 16 {) 2 7 7 239 5 1 148 40 IVlamaroneck Town 1 1 ,240 5 o o 3 2 170 25 13 1 14 IVlamaioneck Village 18 865 28 o o 14 14 26 2 ^5 208 19 ^^anlius Town 24,99 1 19 o o 10 385 72 306 7 Massena Village 11,01 1 3 o o 3 5 247 39 204 4 \A i H H 1 (*tntv n ivi 1QU.JC l\J W 1 1 25 819 84 2 1 1 vS 33 656 94 527 35 IVlount Kisco Village 10,081 39 o o 12 27 239 32 200 7 IVlount Pleasant Town 26,443 28 1 ] g 20 245 32 198 15 Mount Vernon 68,732 402 2 13 193 194 1,640 417 924 299 N e w bu rgh 28,430 260 2 26 57 175 1,047 316 624 107 Newbursh Town 28,789 35 o o 22 13 1,085 109 926 50 New Rochelle 72,595 255 1 7 141 106 1,644 241 1,224 179 New ^^lndsor Town 23,846 76 o 2 3 66 513 77 398 38 New York 8,098,066 59,448 597 1,609 25,989 31,253 176,767 28,293 124,846 23,628 Niskayuna Town 20,794 12 1 0 6 5 375 51 309 15 North Castle Town 11,421 7 0 2 1 4 144 26 110 8 North Greenbush Town 11,046 17 0 3 2 12 160 18 137 5 North Tonawanda 32,642 53 0 9 10 34 572 127 41 1 34 Ogdensburg 12,060 7 0 3 1 3 482 84 378 20 Ogden Town 18,920 8 0 1 5 2 397 78 303 16 Olean 15,050 23 0 6 8 9 614 101 512 1 Oneida 10,967 21 0 2 5 14 471 78 389 4 Oneonta City 13,139 46 0 8 8 30 358 107 240 1 1 Orangetown Town 35,813 31 2 0 13 16 507 77 414 16 See footnotes at end of table. 160 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NEW YORK Continued Orchard Park Town 27,817 1 j 0 o 1 10 461 5 1 386 24 Ossinin^ Village 24,179 102 o 5 32 64 340 41 255 44 Oswe tT o City 18,058 45 o 1 9 35 572 120 440 12 Peekskill 23,1 16 69 1 1 28 39 272 49 199 24 P1nttplri11 Tnwn 1 lullCrvlJI 1UW1I 10 299 o o o o o 28 9 1 8 1 Plattsburgh City 19,189 14 o 4 2 g 521 93 413 15 Port Chester Village 27,997 9! o 4 48 39 782 109 617 56 Port Washington 17,927 13 o o 5 7 204 24 158 22 Poughkeepsie 30,124 348 2 26 131 1 89 1,162 257 822 83 Poughkeepsie Town 43 103 101 o 7 25 74 1 329 153 1 145 ^ j Raniapo Town 72,980 92 1 5 25 60 748 162 562 24 Rochester 217,527 2,034 58 86 1,166 724 15,708 2,497 9,773 3,438 319 Rockville Centre Village 24,615 25 () 1 15 9 305 67 209 29 34,768 51 o 5 23 23 746 200 504 42 Rotterdam Town 28,475 20 0 () g 12 756 81 660 15 Rye 15,1 18 1 () o o ] 230 20 206 4 Saratoga Springs 27,060 37 o 4 (-, 27 643 93 522 28 Saugerties Town 15,106 47 0 3 3 41 249 53 185 1 1 Scarsdale Village 17,989 5 o o 5 o 227 28 189 10 Schodack Town 10,984 7 o 2 o 5 154 39 1 1 1 4 Shawangunk Town 12,407 19 0 () {) 19 77 14 58 5 Southport Town 11 025 4 o o 1 3 20 5 1 g o Stony Point Town 14,674 13 o 1 3 9 81 1 i 65 5 Syracuse 145,41 1 1,383 17 44 477 845 7,773 1,975 4,612 1,186 Tarrytown Village 1 1 ,466 22 o o 5 17 139 30 99 10 To n aw and a 15 875 36 o 4 5 26 289 36 i ^7 16 Tonawanda Town 60,774 74 o 3 29 42 1,129 133 897 99 48,901 293 2 30 84 177 2,139 520 1,438 181 Ulster Town 12,661 13 1 1 5 6 226 25 179 22 Utica 60,049 409 7 43 186 173 2,280 744 1,392 144 Vestal Town 27,076 12 0 0 2 10 560 53 499 8 Wallkill Town 25,584 16 0 0 7 9 230 22 200 8 Warwick Town 19,296 2 o o 2 () 197 33 156 8 Wate rto w n 25,625 86 1 26 19 40 929 200 71 1 18 Water v 1 le t 10,091 25 2 o 5 18 220 49 151 20 Webster Town and Village 39,385 14 1 4 5 4 614 103 472 39 West Seneca Town 45,506 165 o 5 15 144 1,164 122 987 55 White Plains 55,488 221 2 9 81 129 1,669 134 1,452 83 Yonkers 197,569 879 13 25 454 387 3,789 816 2,185 788 36 NORTH CAROLINA A lbemarle 15,614 90 1 4 19 66 975 281 648 46 15 24,940 84 o 5 g 70 420 96 301 23 ] Asheboro 22,844 48 0 1 33 14 2,086 484 1,489 1 13 1 Asheville 69,917 456 26 22 1 201 5,003 960 3,541 502 48 13,367 25 o 2 4 19 453 73 359 21 1 Burlington 46,498 264 3 12 89 160 3,197 638 2,402 157 1 1 C arrbo ro 17,075 77 o g 33 36 990 173 758 59 0 Cary 99 067 109 o 1 7 36 56 2 244 397 1 717 1 30 5 Chapel Hill 52 177 207 o 10 84 1 13 2,341 515 1,728 98 13 Charlotte-Mecklenburg 668,003 7,194 66 306 2,688 4,134 44,534 1 1 ,066 26,628 6,840 300 Cornelius 14,231 30 o 2 9 19 195 87 106 2 2 Durham 197,965 1,663 22 76 883 682 13,621 3,528 9,027 1,066 55 Eden 15,888 69 2 1 28 38 1,137 282 783 72 2 Elizabeth City 17,436 151 2 7 51 91 1,008 271 691 46 5 Fayetteville 125,587 1,230 13 33 492 692 9,652 2,035 6,939 678 30 Garner 20,162 97 0 4 48 45 1,252 151 1,040 61 1 Goldsboro 38,881 390 5 9 99 277 2,577 608 1,823 146 4 Graham 13,380 63 0 5 11 47 656 164 459 33 2 Greensboro 230,606 1,547 36 97 697 717 13,758 3,255 9,455 1,048 91 Greenville 66,183 596 4 10 253 329 4,662 1,348 3,097 217 10 Havel ock 23,213 40 0 2 8 30 462 74 367 21 0 Henderson 16,466 212 1 4 84 123 2,105 402 1,611 92 11 See footnotes at end of table. OFFENSES REPORTED 161 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft NORTH CAROLINA Continued Hendersonville 10,797 96 2 5 22 67 939 124 766 49 () Hickory 39,722 176 1 15 92 68 3,188 623 2,389 176 16 Hi*4i Point 91,588 785 g 34 264 479 5,907 1,585 3,765 557 29 Holly Springs 1 1 ,944 9 0 1 1 7 150 44 102 4 () Hope Mills 11,921 74 o 5 36 32 945 172 734 39 7 Huntersville 28,310 69 1 7 32 29 919 183 668 68 9 Jacksonville 67,613 149 2 19 19 1Q9 767 151 573 43 3 Kannapohs 38,425 1 18 0 3 47 68 986 267 649 70 Kernersville 19,865 96 () 1 1 13 72 1,202 194 950 58 4 tO nston 23,481 260 5 12 64 179 2,233 487 1,676 70 g Lauri nburg 15,927 87 3 7 25 52 1,066 359 672 35 13 18,267 31 2 o 5 24 750 159 556 35 3 Lexington 20,354 165 o 7 53 105 1,360 457 838 65 4 Lincoln ton 10,101 33 1 o g 24 875 96 748 3 1 2 1 ij mberto n 21,262 249 5 10 1 14 120 3,1 11 745 2,167 199 5 Matthews 23,853 48 () 4 17 27 962 228 677 57 12 N^ooresville 19,509 37 o 5 14 1 7 776 1 17 644 15 3 Ralei £ih 310,157 2,004 14 81 748 1,161 14,771 3,327 10,186 1,258 75 Reids ville 15,027 89 4 7 33 45 924 206 680 38 4 Roanoke Rapids 16 771 99 o 5 36 57 1,011 224 739 48 1 Rocky Mount 56,601 459 7 21 195 236 5,065 1,227 3,589 249 22 Salisbury 26,721 2( )6 1 16 72 1 17 1,706 322 1,280 104 10 Sanford 23,582 147 4 14 91 88 2,281 535 1,651 95 7 Shelby 19,803 250 6 14 56 174 1,727 428 1,217 82 6 Smith field 12,056 131 1 1 34 95 1,117 185 863 69 0 Southern Pines 11,539 69 0 2 26 41 602 164 388 50 3 Statesville 24,096 244 2 14 86 142 1,855 296 1,483 76 5 Tarboro 10,744 56 0 4 13 39 552 139 396 17 () Thomasville 21,795 128 o 5 42 8 1 1,265 267 917 8 1 5 ^Vake Forest 14 787 34 o 3 9 22 550 129 400 21 4 Wilmington 91,593 819 5 30 325 459 7,356 1,855 4,900 601 13 ^Vilson 46,039 245 2 18 87 138 2,424 552 1,688 184 7 Wins ton- Sal em 190,912 1,579 I i 1 18 547 903 13,938 3,957 8,810 1,171 NORTH DAKOTA Bismarck 56,210 26 2 1 5 18 1,282 122 1,070 90 5 Dickinson 15,672 17 0 4 6 7 553 60 460 33 1 91,165 77 o 41 1 1 25 2,283 335 1,759 189 1 1 Grand Forks 48,525 68 o 13 9 46 1,989 255 1,618 116 3 Jamestown 15,108 20 {) 9 1 10 447 69 353 25 7 IV1 it ndii n 16,762 19 o 5 o 14 403 37 333 33 7 Min ot 35,602 57 1 26 5 24 1,150 126 913 1 1 1 7 West Fargo 15,794 17 o 2 3 12 451 1 14 308 29 5 Williston 12,371 16 1 1 1 o 4 269 27 189 53 1 OHIO Akron 214,622 1,288 16 206 623 443 12,172 3,177 7,779 1,216 92 Alliance 23,01 1 77 o 18 21 38 1,244 213 987 44 12 Amherst 11,733 g o o 2 5 205 34 171 o 2 Athens 21,572 9 1 6 2 0 644 72 545 27 () 14,263 o o o o o 195 38 155 2 o Avon 13,026 11 0 0 0 11 211 37 160 14 2 Avon Lake 19,155 13 0 4 1 8 174 28 137 9 0 Bainbridge Township 11,065 6 0 1 0 5 256 25 226 5 0 Barberton 27,698 64 0 19 23 22 1,175 177 933 65 6 Bay Village 15,894 0 0 0 0 0 2 0 0 2 0 Beavercreek 38,094 36 0 7 25 4 1,373 150 1,165 58 9 Bedford Heights 11,307 35 0 1 8 26 300 51 196 53 2 Bellefontaine 12,986 29 0 4 10 15 589 153 422 14 0 Berea 18,770 33 0 7 5 21 365 48 299 18 1 Bexley 12,866 38 0 3 32 3 492 146 328 18 3 Boardman 41,718 74 1 3 49 21 2,351 319 1,796 236 13 See footnotes at end of table. 162 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft OHIO Continued Bowlino- Green 29,520 42 o 5 1 1 26 849 143 676 30 4 B recks ville 13,565 n o o 1 5 99 17 74 g o Broadview Heights 16,364 14 o 1 1 12 1 16 15 82 19 1 Brookfield Township 10,023 6 o 1 1 4 257 57 189 1 j 5 Brooklyn 11 429 1 5 o o 7 537 44 4^2 6 1 1 Brook. Park 20,967 3 {) o o 3 98 17 55 26 o C ambnd se 11,518 58 1 4 14 39 1,183 137 987 59 3 10,259 14 o 3 5 5 396 56 324 16 3 C en ter v llle 23,101 25 o 2 10 13 5S1 109 446 26 4 Chillicothe 22,173 65 ] 1 1 37 16 2,455 404 1,942 109 13 Cincinnati 324,297 3,643 7 j 307 2,184 1,081 24,167 5,922 14,796 3,449 243 Circle ville 13 537 36 o 5 12 19 766 135 605 26 1 Cleveland 468,446 6,200 73 646 3,167 2,314 26,078 8,048 12,832 5,198 461 Cleveland Heights 49 797 13 o o 13 o 711 101 520 90 o Columbus 726,151 6,215 109 615 3,332 2,159 56,338 14,650 33,343 8,345 Conneaut 12,338 20 () 1 1 18 430 75 340 15 3 Copley Township 13,943 12 o 2 g 2 371 42 294 35 o Day ton 162,876 1,654 28 173 95 1 502 13,230 3,814 6,874 2,542 173 Delawai £ 26 503 65 o 32 1 6 1 7 918 ->04 677 37 23 Delhi Township 29,926 23 () 1 g 14 397 47 334 16 3 12,280 4 0 1 1 2 197 3 i 149 17 1 Dublin 32,848 I j o 3 4 4 773 174 566 33 4 East Cleveland 26,686 98 1 5 o 91 g {) o g o East lake 20,153 12 o o 4 g 364 41 286 37 5 Englewood 12,406 37 o 17 12 606 69 502 35 3 51,977 174 1 16 83 74 1,758 441 1,162 155 13 Fairborn 32,500 66 1 15 26 24 1,644 343 1,183 1 18 4 Fairfield 42,149 166 o 16 3 1 1 19 1,715 204 1,361 150 6 Fairview Park 17,328 o o o o o 20 4 9 7 o Fmdlay 39,496 96 o 36 25 35 2,027 419 1,559 49 5 Forest Park 19,184 35 o 7 21 7 652 89 514 49 5 Franklin Township 14,855 9 o 3 2 4 223 87 125 1 j 5 Fremont 17,103 40 2 4 15 19 1,303 170 1,090 43 2 Gahanna 33,545 35 o 5 16 13 822 180 617 25 3 Gill ion 11,597 14 1 2 4 7 479 60 403 16 5 Garfield Heights 30,301 1 18 o 5 39 73 794 163 556 75 7 Genoa Township 1 1 971 2 o o 1 ] 191 50 140 1 o 10 780 13 ] o 7 5 534 86 401 47 1 Goshen Township 14,331 24 o 3 o 21 318 85 21 1 22 1 Greenville 13,163 89 () 13 4 72 543 109 416 18 3 Hamilton 60,167 488 4 72 144 268 4,361 1,019 2,931 41 1 4 Hilliard 25,384 15 o 7 5 3 712 136 545 3 1 15 Huber Hemhts 38,103 89 1 21 50 17 1,443 286 1,079 78 14 Hudson 22,988 5 o 2 2 1 233 45 176 12 o Kent 27,777 70 o 14 17 39 802 159 601 42 57 Isle tte r i n g 56,752 68 o 18 34 16 2,178 409 1,605 164 7 Lake wood 55,356 85 o 4 27 54 944 192 667 85 3 Lancaster 36,127 81 o 13 37 3 i 1,484 235 1,168 81 14 Lebanon 17,919 30 1 g 7 13 613 103 474 36 5 Liberty Township 12,564 22 o 5 13 4 494 103 32 1 70 5 40,872 423 2 70 108 243 2,380 637 1,599 144 27 Lorain 67,790 276 5 10 93 168 2,010 566 1,344 100 13 Ly ndhu r s t 15,074 5 1 3 1 o 25 4 21 o o Madison Township 16,132 24 () 10 4 10 455 58 366 31 3 Mansfield 50,812 162 7 22 100 33 3,482 822 2,507 153 24 Marietta 14,137 31 0 17 4 10 385 85 291 9 1 Marion 37,155 77 1 18 29 29 2,019 549 1,412 58 9 Marysville 16,267 47 0 3 2 42 485 102 367 16 2 Mason 25,689 7 0 1 6 0 465 56 391 18 0 Mayfield Heights 19,145 12 0 0 3 9 255 22 224 9 0 Mentor 50,240 40 0 15 15 10 1,372 139 1,152 81 15 Miamisburg 19,814 53 0 7 24 22 1,144 216 816 112 11 Miami Township 37,266 43 0 4 6 33 901 103 761 37 2 Middletown 51,250 166 0 23 64 79 3,421 700 2,562 159 13 See footnotes at end of table. OFFENSES REPORTED 163 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft OHIO Continued Monroe 10,749 89 o 14 a 66 576 91 465 20 o Montgomery 10,024 5 o o {) 5 243 23 208 12 3 New Philadelphia 17,343 9 o 1 5 3 156 (5 135 5 4 North Ciinton 16,597 15 2 2 o 2 389 86 295 8 () North Ridgeville 23,427 37 0 6 3 28 406 90 278 38 () North Royalton 30,635 12 () 2 2 8 1 16 28 77 1 l () Norton 1 1 ,604 1 J o o 5 5 434 68 323 43 2 Nor walk 16,333 o o o 5 353 71 263 19 o Norwood 21,012 127 o 14 79 34 1,424 206 1,095 123 o Oregon 19,463 55 1 5 22 26 1,142 1 1 1 983 48 2 ■■ 84,642 130 o 15 50 65 1,390 340 920 130 10 Parma Heights 21,410 31 o 4 12 15 455 79 340 36 4 Ptl til sk.il lit 10,568 1 J o 2 4 5 263 71 181 1 J 2 Pe it y s bu rg 16,887 14 o o 3 1 1 491 41 433 1 7 3 Perry Township 29,074 39 o 4 5 29 691 159 477 55 5 Pickenngton 11,160 10 o 1 g ] 291 50 23 1 10 o Pierce Township 12,533 16 o 5 3 7 334 85 229 2() o 20,726 31 o 5 17 g 1,310 178 1,087 45 4 Pnrtymnnth 20 465 ~M)8 5 ^ 1 70 10 1 2 567 620 1 780 1 57 2 Ravenna 1 1 ,607 39 o 4 t) 26 709 50 628 3 i o Re ading 1 1 ,026 43 o 2 14 27 463 76 334 53 4 Reynoldsburg 32,838 91 1 10 41 39 1,319 205 1,040 74 6 Richmond Heights 10,947 3 o o 1 2 74 2 66 o Riverside 23,479 72 o 1 1 37 24 1,039 301 566 172 5 Salem 12,334 6 0 2 () 4 77 19 55 3 () Siindusky 27,391 1 15 o 1 1 26 78 1,709 338 1,300 71 2 Seven Hills 12,154 5 o () 2 3 129 22 101 6 () Shaker Heiuhts 28,891 28 o 3 21 4 686 176 460 50 5 Sharonville 13,684 47 2 10 21 14 667 81 55 J 35 4 Solon 22,217 1 1 o 2 (-, 3 298 25 267 5 1 South Euclid 23,181 42 1 4 28 9 495 86 37 i 38 5 Sprin^boro 14,188 7 o 2 2 3 264 52 200 12 o Spnngdale 10,356 33 2 1 21 9 1,240 53 1,104 83 o Springfield 64,214 558 5 74 285 194 6,253 1,573 4,022 658 23 Springfield Township (Hamilton County) 37,394 76 2 25 27 22 699 93 545 61 o Springfield Township (Summit County) 15,529 27 o 7 13 7 757 159 559 39 5 Steubenville 19,713 132 1 7 31 93 932 125 747 60 o 33,956 23 () 1 1 8 4 727 1 16 594 17 6 Streetsboro 12,582 13 o 1 5 7 361 57 291 13 2 S tr u the i s 1 1 ,469 7 o o 4 3 294 48 219 27 3 Sylvama 19,004 10 o o 7 3 276 38 226 12 3 Sylvania Township 25,867 20 o 1 7 12 779 78 646 55 1 Tal 1 ni ad ge 17,050 26 1 7 10 8 382 76 283 23 4 Tiffin 17,795 28 o 13 4 1 1 785 140 624 2 1 2 Toledo 309,499 3,182 21 152 1,354 1,655 23,159 5,664 14,383 3,112 434 22,057 37 1 21 10 5 789 125 636 28 4 Twinsburg 17,283 10 o 3 5 2 219 35 176 8 1 University Heights 13,951 41 o 2 1 1 28 256 19 23 1 5 o LJrbana 1 1,538 16 o 2 8 5 372 60 295 17 o \/andalia 14,481 16 o 7 7 2 472 124 315 33 3 V all VV CI L 10 658 28 o 7 7 14 464 87 369 8 ~> Vermilion 10,881 7 0 1 0 6 394 106 276 12 1 Wadsworth 19,095 15 0 9 4 2 350 61 273 16 2 Warren 47,285 368 6 32 153 177 2,441 715 1,444 282 86 Warrensville Heights 14,916 65 1 7 29 28 463 126 257 80 0 Washington Court House 13,275 23 0 5 11 7 670 171 478 21 1 West Carrollton 13,579 28 0 6 14 8 545 90 374 81 4 West Chester Township 53,862 77 2 11 35 29 1,633 285 1,253 95 10 Westerville 35,565 38 0 6 13 19 1,120 144 947 29 11 Westlake 32,201 0 0 0 0 0 27 2 11 14 0 Whitehall 18,875 157 3 14 112 28 1,660 353 1,170 137 23 Willoughby 22,611 44 0 4 12 28 477 79 363 35 4 See footnotes at end of table. 164 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent cr tine Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft OHIO Continu ed ^Villowick 14,206 10 o o 1 1 ^2 20 150 12 o Worth i n gto n 13,860 18 o 10 3 388 5 i 318 19 1 24,191 23 o o 21 2 1,340 206 1,092 42 14 Young stow n 80,128 768 19 60 286 403 4,833 1,763 2,568 502 257 Zanes ville^ 25,479 1 10 5 19 5 1 35 1,928 350 1,494 84 28 OKLAHOMA Ada 15,933 135 1 14 13 107 8 49 228 622 49 5 Altus 20,674 78 1 20 18 39 1,235 516 687 32 7 Ardmore 24,061 241 o 20 44 177 1,953 398 1,464 91 9 B artles ville 34,942 100 o 16 15 69 1,265 213 969 83 1 Bethany 20,344 71 1 9 19 42 850 150 614 86 9 Bixby 15,652 30 o 5 4 2() 378 95 243 40 3 Broken Arrow 83,512 183 3 19 2 1 140 2,292 400 1,738 154 43 Chickasha 16,146 147 0 5 17 125 976 193 722 61 g Choctaw 10 077 17 1 ] 2 13 217 46 146 25 o Clare m ore 16,664 64 o 10 4 50 730 125 540 65 4 Del City 22,294 94 1 1 28 64 899 289 515 95 10 Duncan 22,238 61 o 7 7 47 1,021 223 764 34 1 1 Durant 13,898 50 o 10 3 37 929 244 590 95 7 Edmond 70,900 97 o 13 23 61 1,708 317 1,310 8 1 18 Elk City 10,546 9 1 3 o 5 258 20 230 g 1 El Reno 16,228 7 1 ] 4 12 54 467 101 333 33 5 46,768 201 1 35 24 141 2,780 550 2,126 104 5 Guthrie 10,038 53 o 4 4 45 396 86 294 16 5 Guymon 10 721 28 o g 5 15 394 69 305 2() o 11,01 1 3 o () {) 3 1 16 40 69 7 0 La w to ii 91,799 693 5 37 1 13 538 5,015 1,285 3,485 245 42 Mc Alester 17,742 56 1 5 g 42 827 213 541 73 5 Miami 13,631 74 o 7 5 62 752 161 572 19 5 Midwest City 54,781 152 o 22 44 86 2,072 494 1,436 142 4 Moore 43,962 127 4 12 40 7 1 1,807 395 1,259 153 7 N^uskogee 38 797 242 5 22 64 150 1,933 722 1,056 155 17 Mustang 14,064 34 0 1 1 32 396 70 307 19 1 Norman 98,330 189 4 40 35 1 10 3,133 853 2,061 219 12 Oklahoma City 521,681 4,642 49 365 1,381 2,847 47,595 8,300 35,367 3,928 208 O km u 1 **e e 12,938 65 o 5 17 43 631 178 421 32 3 Owasso 20,660 49 0 5 5 39 570 98 427 45 2 Pone a City 25,928 131 2 26 18 85 1,062 216 772 74 30 Sand Springs 17,734 42 0 7 8 27 797 133 514 150 2 Sapulpa 19,903 39 0 2 7 30 695 142 482 71 10 Shawnee 29,462 191 2 29 22 138 1,549 449 948 152 4 Stillwater 40,793 1 18 2 29 15 72 1,414 303 1,048 63 g Tahlecjuah 15,089 46 0 12 28 759 195 507 57 4 The Village 10,169 75 1 3 g 63 477 69 38 1 27 2 Tulsa 393,907 4,304 61 272 89] 3,080 27,253 6,403 17,343 3,507 281 Wo o d w ard 1 1,856 77 1 g 2 66 457 130 315 12 4 21,229 18 o 2 3 13 612 99 487 26 4 OREGON Albany 42,646 77 o 10 34 33 4,044 518 3 178 348 13 Ashland 20,434 34 () 9 10 15 759 98 631 30 31 Beaverton 80,631 1 63 2 24 55 82 3,398 471 2,516 411 36 Bend 57,626 161 0 16 33 112 3,468 597 2,636 235 29 Canby 13,724 15 0 2 6 7 624 54 531 34 11 Central Point 13,967 4 0 0 2 2 670 96 538 36 7 Coos Bay 15,446 23 0 10 5 8 622 126 453 43 4 Cornelius 10,047 30 1 3 4 22 332 69 224 39 7 Dallas 13,004 52 0 5 3 44 392 61 290 41 2 Eugene 141,913 478 2 53 176 247 8,904 1,424 6,591 889 131 Forest Grove 18,926 23 0 6 6 1 1 952 210 674 68 7 Gladstone 12,004 19 1 4 3 11 671 87 505 79 0 See footnotes at end of table. OFFENSES REPORTED 165 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft OREGON Continued Grants Pass 25,1 12 52 0 12 24 16 1,833 226 1,448 159 10 Gresham 95 730 48 1 0 67 1 54 260 6 061 955 3 941 1 165 1 8 H er mi s t o n 13,719 1 1 3 4 4 () 837 172 601 64 4 Hillsboro 76,766 182 () 30 70 82 3,622 444 2,810 368 36 33,865 54 1 4 0 40 1,412 221 1,048 143 5 Klamath Falls 19,524 75 o 8 31 36 789 174 551 64 9 La Grande 12,392 1 1 o 0 2 9 382 71 288 23 0 Lake Oswego 36,227 25 o 2 5 17 685 108 549 28 15 Leb anon 13,298 29 () 7 9 13 1,230 131 1,001 98 13 McMin nville - 28,302 28 o 9 5 13 581 104 421 56 15 Medford 65,352 299 4 29 35 23 J 4,235 484 3,494 257 52 IVlilwaukie 20,785 44 0 1 1 10 23 1,074 196 772 106 10 Newberg 19,469 21 0 2 4 15 603 75 492 36 3 Ontario 1 1 ,065 65 0 5 4 55 740 76 624 40 1 Oregon City 28,075 39 1 5 9 24 1,442 200 1,093 149 3 Pendleton 16,584 18 () 3 8 7 815 195 583 37 5 Portland 545,271 4,436 27 310 1,367 2,732 41,951 6,484 29,599 5,868 384 Redmond 16,196 21 o g 3 9 1,063 211 776 76 8 Roseburg 20,173 62 0 8 32 22 1,179 172 917 90 21 Salem 142,501 514 5 75 180 254 11,563 1,575 8,417 1,571 42 Sherwood 13,652 4 0 2 0 2 251 25 221 5 2 Springfield 54,619 158 0 16 41 101 4,274 639 3,038 597 29 St. Helens 10,883 18 () 4 5 9 465 86 347 32 14 The Dalles 12,136 21 () 3 5 13 747 150 560 37 8 45,640 94 1 20 3 i 42 2,262 295 1,788 179 9 Tu alatin 24,135 57 o 15 19 23 1,088 139 850 99 2 West Linn 24,433 1 1 () () 4 7 423 71 339 13 1 Wilsonville 14,942 18 () 5 4 9 628 77 487 64 3 ^Vo o dbu r n 21,438 32 o 4 9 19 1,388 161 894 333 10 PENNSYLVANIA Abington Township 56,252 52 1 6 23 22 1,039 165 809 65 3 Alicjuippa 11,457 7 1 1 3 1 1 56 297 50 213 34 0 Allen town 106,366 641 12 51 359 219 5,654 1,111 3,851 692 54 Altoona 48,609 156 1 24 68 63 1,420 357 983 80 5 Aston Township 16,485 28 () 1 7 20 209 39 148 22 2 Bensalem Township 58,818 146 3 9 49 85 2,1 16 268 1,564 284 8 Berks-Lehigh Regional 22,083 1 1 0 2 2 7 211 34 156 21 2 Berwick 10,562 32 () 5 5 22 434 52 369 13 1 Bethel Park 33,217 25 o 1 t) 15 321 46 257 18 1 Bethlehem 71,926 190 1 20 94 75 1,965 337 1,460 168 12 Bethlehem Township 22,081 25 () 1 5 19 366 28 322 16 0 Bloomsburg Town 12,469 18 () 3 3 12 368 56 297 15 () Brecknock Township 11,343 1 1) () () 1 35 8 22 5 2 Bristol 10,056 53 o 2 13 38 390 58 304 28 5 Buckingham Township 17,263 7 o 0 1 5 126 10 109 7 0 Butler 14,878 194 o 13 26 155 846 205 607 34 1 Butler Township (Butler County) 17,147 36 () 3 12 21 542 65 463 14 1 Cain Township 12,181 58 o 1 12 45 292 27 243 22 1 Carlisle 18,080 53 () 13 28 12 500 58 423 19 6 Center Township 11,569 28 1 0 3 24 342 29 303 10 2 Chambersburg 17 883 25 1 o 5 1 3 233 543 87 425 3 1 4 Cheltenham Township 37,027 1 16 1 8 71 36 1,060 227 667 166 0 Chippewa Township 10,866 7 0 1 3 3 316 44 255 17 3 Coatesville 11,142 1 18 2 4 45 67 395 64 286 45 3 Colonial Regional 17,667 48 0 0 2 46 385 39 336 10 0 Columbia 10,260 56 0 1 12 43 350 73 233 44 2 Cranberry Township 25,581 25 0 2 5 IS 366 46 307 13 2 Darby 10,211 283 1 12 39 231 437 126 214 97 6 Deny Township (Dauphin County) 21,566 29 0 3 4 22 552 137 395 20 7 Doylestown Township 17,752 14 0 2 4 8 235 22 203 10 1 Dunmore 13,788 10 0 0 2 8 252 35 210 7 1 East Cocalico Township 10,183 2 0 0 1 1 186 19 156 1 1 1 See footnotes at end of table. 166 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft PENNSYLVANIA Continued East Hempfield Township 22,028 21 0 4 7 10 638 1 12 494 32 0 East Lampeter Township 13,923 24 0 3 18 3 821 62 729 30 1 East Norriton Township 13,596 7 () () 3 4 336 22 291 23 5 Easton 26,203 158 1 lfi 54 85 1,138 226 824 88 12 East Pennsboro Township 18,783 19 1 4 g 6 360 71 264 25 2 Easttown Township 10,371 o 0 2 4 127 40 84 3 0 Elizabeth Township 13,678 27 o 0 3 24 1 18 [ i 96 1 1 0 E mm.au s 11,278 42 o 5 2 35 332 43 284 5 1 Ephrata 13,149 25 () 4 2 19 302 63 221 18 1 102,373 447 3 70 191 183 3,134 725 2,284 125 33 Exeter Township (Berks County) 25,033 24 o 3 9 12 488 49 408 31 2 Fairview Township (York County) 14,725 42 o 1 5 36 353 62 283 8 0 Falls Township {Bucks County) 34,972 73 1 7 30 35 1,003 132 748 123 2 Ferguson Township 15,282 4 o ] 2 ] 171 5 161 4 1 Francoma Township 12,044 10 o 1 () 9 75 [2 59 4 1 Franklin Park 11,554 2 o 0 () 2 70 10 57 3 0 Green sburg 15,655 37 1 3 5 27 504 86 391 27 0 Hampden Township 24,885 14 o 1 9 4 391 55 323 13 1 Hampton Township 17,505 27 o 0 5 22 203 38 157 8 o Hanover 14,748 19 o 3 7 560 60 486 14 3 Hanover Township (Luzerne County) 11,324 14 1 2 5 5 393 56 320 17 2 H am sburg 48,659 687 5 29 375 277 2,395 543 1,698 154 26 Harrison Township 10,749 12 o 0 g 4 315 29 263 23 0 Hatfield Township 17,092 8 () 1 4 3 371 52 305 14 12 Haverford Township 48,380 22 o 1 13 s 609 66 506 37 1 Hazleton 22,808 31 1 2 13 15 482 102 301 79 0 Hermitage 16,402 18 o 1 12 5 583 36 540 7 2 Hilltown Township 12,343 37 o 6 1 30 208 19 183 6 1 Horsham Township 24,922 1 1 o 0 3 8 259 43 201 15 1 Indiana 14,859 28 o 6 1 21 321 38 272 1 1 3 Jeannette 10,482 37 o 2 5 30 274 37 212 25 3 Johnstown 27,870 179 2 25 42 1 10 1,113 298 739 76 17 Lancaster 55,765 557 g 37 245 267 3,033 563 2,152 318 44 Lancaster Township (Lancaster County) 14,118 26 o 3 12 1 1 409 77 273 59 7 Lansdale 16,169 17 o 5 3 8 359 57 277 25 Lansdowne 10,943 39 o 2 8 29 256 41 187 28 2 Lebanon 24,072 180 2 15 63 100 938 209 653 76 10 Lehigh Township (Northampton County) 10,1 13 2 () () () 2 122 17 97 8 () Limerick Township 15,580 15 o ] 4 10 245 42 180 23 9 Logan Township 1 1 ,949 27 1 4 10 12 266 58 201 7 1 Lower Allen Township 17,431 24 o 3 13 8 396 53 338 5 1 Lower Burrell 12,585 18 () 1 3 14 187 41 141 5 () Lower Gwynedd Township 10,848 12 o 0 () 12 1 85 25 157 3 () Lower JVlakefield Township 33,026 15 o 1 2 12 403 80 304 19 0 Lower Merion Township 60,141 52 1 1 27 23 1,027 200 773 54 1 Lower JVloreland Township 1 1,556 22 o 0 0 22 189 29 152 8 o Lower Paxton Township 44,95 1 59 o 5 30 23 1,042 1 19 886 37 5 Lower Pottsgrove Township 11,713 19 o 1 5 13 219 32 178 9 1 Lower Providence Township 23,312 18 o 5 4 9 264 40 217 7 () Lower Salford Township 13,679 3 o 2 1 5 94 9 80 5 () Lower Saucon Township 10,384 7 o 0 () 7 1 12 8 101 3 0 Lower Southampton Township 19,342 29 0 2 9 18 341 28 281 32 0 Manheim Township 34,533 47 0 3 19 25 950 181 721 48 3 Manor Township 17,088 15 0 2 3 10 308 66 220 22 0 Marple Township 23,700 13 0 0 3 10 319 36 257 26 2 McCandless 28,843 10 0 1 4 5 353 26 318 9 0 Meadville 13,530 24 0 5 11 8 358 48 292 18 1 Middletown Township 45,866 48 0 5 22 21 1,272 145 1,046 81 13 Millcreek Township 52,721 43 2 3 15 23 871 206 630 35 0 Monroeville 29,023 1 14 1 7 30 76 913 96 719 98 3 Montgomery Township 23,321 8 0 0 5 3 531 18 502 1 1 0 Moon Township 22,808 11 0 0 9 2 396 58 321 17 0 See footnotes at end of table. OFFENSES REPORTED 167 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime We/ (7;/ crime Property crime Prope rty crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft PENNSYLVANIA Continued Mount Lebanon 32,668 63 1 0 5 57 21 A 30 229 15 5 Muhlenberg Township 16,636 35 0 1 24 10 694 88 538 68 1 Munhall 12,041 12 () () 6 148 34 95 19 () Murrysville 19,089 5 () o 4 1 204 30 165 9 () Nanticoke 10,686 26 o 5 3 18 335 58 262 15 5 Nether Providence Township 13,448 23 0 2 1 20 128 10 1 14 4 () New Britain Township 10,766 4 o 2 () 2 90 5 83 2 () New Kensington 14,420 82 1 7 14 60 483 1 13 329 41 4 Newtown Township (Bucks County) 18,775 21 () 2 () 19 220 28 184 g 1 Newtown Township (Delaware County) 11,712 5 o 1 2 2 122 20 94 () Norristown 31,388 344 4 33 157 150 1,677 324 1,161 192 9 Northampton Township 40,572 16 0 4 3 9 317 41 264 12 () Northern Berks Regional 10,374 1 1 0 1 1 9 165 20 135 10 1 Northern York Regional 52,013 51 2 6 16 27 1,120 157 908 55 13 North Fayette Township 12,795 24 () () 1 23 340 33 284 23 () North .Huntingdon Township 29,098 21 0 1 9 1 J 364 64 264 36 2 North Lebanon Township 10,680 13 o 1 2 10 380 36 336 g 0 North Strabane Township 10,719 29 2 3 1 23 25() 24 210 16 1 North Versailles Township 10,996 61 o 0 15 46 238 27 195 16 1 Oil City 11,280 20 1 4 1 14 314 24 273 17 1 Patton Township 11,682 7 () 1 4 2 248 3 1 212 5 2 Penn Hills 46,849 162 5 12 73 72 1,179 226 780 173 7 Pennndge Regional 14,672 13 o 1 0 12 106 9 93 4 2 Penn Township (York County) 14,793 18 () () () 18 225 26 184 15 1 Peters Township 18,587 19 1 0 4 14 2 1 7 28 181 g 9 Philadelphia 1,495,903 20,620 348 1,004 9,617 9.651 62,454 10,656 37.864 13,934 Phoenixville 14,821 47 () 7 4 36 343 14 320 9 o Pine-Marshall -Bradford Woods 16,259 17 o 1 1 15 323 21 286 16 0 Pittsburgh 335,302 3,559 67 136 1,635 1,721 16,435 3,180 10,610 2,645 97 Plains Township 10,763 57 () 4 1 1 42 320 44 255 21 3 Plumstead Township 11,887 9 2 1 2 4 174 14 151 9 2 Plymouth Township (Montgomery County) 16,134 56 0 3 24 29 779 82 65 1 46 3 Pocono Township 10,291 17 0 2 9 285 36 225 24 0 Pottstown 21,878 222 1 26 50 145 1,122 175 853 94 14 Potts ville 15,204 43 () 4 6 33 303 43 240 20 4 Radnor Township 31,259 28 o 3 1 1 14 377 53 306 18 2 Rending 80,692 946 16 56 434 440 4,643 1,140 2,458 1,045 55 Richland Township (Bucks County) 10,903 20 () 2 5 13 251 18 222 11 1 Ridley Township 30,602 99 1 2 16 80 500 54 386 60 1 Robinson Township (Allegheny County) 13,623 16 () 3 4 9 398 38 338 22 1 Ross Township 32,31 1 24 () 0 1 1 13 904 72 790 42 9 Rostraver Township 11,725 9 1) 3 3 3 491 39 440 12 1 Salisbury Township 13,574 42 0 4 4 34 375 33 327 15 5 Sandy Township 1 1,508 22 () () () 22 165 30 123 12 0 Scranton 74,896 263 2 37 92 132 2,260 528 1,547 185 10 Shaler Township 29,605 25 3 2 6 14 351 53 272 26 1 Sharon 15,900 83 1 7 13 62 482 1 05 343 34 3 Silver Spring Township 11,442 6 () 2 2 2 198 23 167 g 1 South Fayette Township 12,882 32 () 2 () 30 1 15 15 89 1 | 0 South Park Township 14,177 1 1 () 1 1 9 71 20 40 1 1 0 South Whitehall Township 18,246 60 0 1 5 54 621 71 534 16 0 Springettsbury Township 23,878 43 0 9 19 15 1,046 58 954 34 3 Springfield Township (Delaware County) 23,475 32 1 3 15 13 681 46 596 39 2 Springfield Township (Montgomery County) 19,629 18 0 0 7 1 1 205 34 156 15 0 Spring Garden Township 11,995 23 0 2 8 13 460 49 388 23 2 Spring Township (Berks County ) 22,665 10 0 0 4 6 400 61 299 40 1 State College 51,741 48 0 17 8 23 1,029 108 902 19 4 St. Marys City 14,271 31 0 1 0 30 338 66 258 14 2 Stroud Area Regional 31,652 57 1 11 21 24 863 90 704 69 1 See footnotes at end of table. 168 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime W"/(7// crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft PENNSYLVANIA Continued Sunbury 10,381 1 12 0 7 7 98 458 85 357 16 6 Susquehanna Township (Dauphin County) 22,324 51 () 1 31 19 640 85 526 29 1 Towamencin Township 17,862 18 3 1 2 12 194 38 146 10 3 Uniontown 12,242 67 0 (-, 30 31 584 120 398 66 0 Upper Allen Township 15,860 10 () 2 (i 2 191 43 128 20 3 Upper Chichester Township 16,873 56 () 3 19 34 546 72 403 71 12 Upper Darby Township 81,141 169 4 5 108 52 1,285 131 916 238 0 Upper Dublin Township 26,616 50 () 2 4 44 278 5 1 207 20 () Upper Gwynedd Township 14,431 26 0 0 4 22 140 3 i 105 4 3 Upper Moreland Township 25,145 22 () 0 g 14 391 54 305 32 6 Upper Providence Township (Delaware County) 1 1 ,020 5 () () 2 3 51 12 35 4 () Upper Providence Township ( Montgomery County) 16,754 6 () 1 2 3 193 22 162 9 0 Upper Saucon Township 12,597 1 1 o 1 0 10 121 25 93 3 1 Upper Southampton Township 15,817 18 1 o 5 12 2i() 30 169 1 1 0 Upper St. Clair Township 19,898 2 1 0 1 () 95 10 76 9 0 Uwchlan Township 17,803 28 () 5 () 23 25 1 49 194 8 0 Warminster Township 31,385 51 () 12 17 22 534 73 432 29 3 Warrinston Township 19,942 37 o 1 6 30 233 44 176 13 7 ^Varwick Township (Bucks County) 13,497 1 o 0 0 1 91 I i 76 4 0 Warwick Township (Lancaster County) 16,551 5 o 1 1 3 106 26 77 3 0 Washington Township (Franklin County) 11,713 16 o 3 2 1 1 202 29 158 15 1 West Chester 17,881 1 17 o 20 48 49 627 126 425 76 9 West Goshen Township 20,934 41 0 4 1 1 26 580 47 501 32 () West Hempfield Township 15,535 9 () 1 4 4 303 43 240 20 o West Lampeter Township 13,675 5 () 1 4 0 169 12 148 9 1 West Manchester Township 17,264 40 () 1 15 24 776 61 I.Sii 29 6 West Mifflin 22 187 22 1 0 g 13 143 21 107 15 0 West Nomton Township 14,985 46 o 1 7 38 330 40 278 12 2 Westtown-East Goshen Township 30,817 32 0 1 3 28 351 55 274 22 1 West Whiteland Township 17,607 24 0 3 8 13 639 41 570 28 0 Whitehall 14,271 7 0 0 4 3 63 10 51 2 0 Whitehall Township 25,151 52 0 6 26 20 1,147 101 983 63 6 ^Vhitpain Township 18,875 14 o 2 5 5 227 35 179 13 0 Wilkes-Barre 42,124 148 2 15 92 39 2,1 19 406 1,579 134 g Wilkinsburg 18,820 2()9 12 81 1 10 761 228 346 187 1 1 Willi amsport 30,158 1 16 () 1 1 61 44 1,418 298 1,048 72 9 Wilhstown Township 10,130 o 2 0 5 114 26 86 2 0 \'eudo n 1 1 ,669 65 o 7 36 22 363 79 189 95 2 York Area Regional 45,91 1 80 1 7 17 55 706 96 561 49 7 RHODE ISLAND B arnngton 17,087 15 o 7 2 5 264 53 206 5 5 Bristol 22,953 30 o 7 7 16 388 56 309 23 9 B urnllville 16,377 9 o 1 1 7 193 40 141 12 4 Central Falls 19,283 109 () 19 20 70 620 166 35 1 103 12 Coventry 34,873 33 () 4 3 26 438 97 310 3 1 21 Cranston 81,601 159 o 35 43 8 1 2,340 436 1,649 255 16 Cumberland 33,303 33 o 7 10 16 561 96 433 32 1 East Greenwich 13,427 5 0 1 0 4 149 24 120 5 1 East Providence 49,957 88 0 20 28 40 870 174 612 84 9 Glocester 10,345 5 0 0 0 5 66 15 47 4 3 Johnston 29,198 65 0 9 10 46 912 141 671 100 16 Lincoln 22,103 8 0 0 5 3 421 60 329 32 0 Middletown 17,503 18 0 1 2 15 384 73 306 5 2 Narragansett 16,910 15 0 3 1 1 1 364 51 305 8 1 Newport 26,471 1 14 1 24 13 76 1,320 293 953 74 22 North Kingstown 27,147 19 0 7 1 1 1 499 76 400 23 8 North Providence 33,438 61 0 5 8 48 553 109 383 61 13 North Smithfield 10,985 13 0 3 2 8 223 44 175 4 3 See footnotes at end of table. OFFENSES REPORTED 169 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft RHODE ISLAND Continued Paw tucket 74,479 256 2 37 74 143 2,526 468 1,674 384 31 Portsmouth 17,565 17 0 4 2 1 1 262 62 186 14 1 Providence 176,960 1,395 18 133 515 729 11,083 1,682 6,756 2,645 Scituate 10,760 6 0 0 0 6 104 32 66 6 5 Smith field 21,265 6 0 1 0 5 308 41 256 1 1 10 South ICin^stown 28,789 24 o 7 5 12 327 69 243 15 4 Tiverton 15,598 18 {) 3 o 15 288 75 186 27 x Warren 11,556 15 o 4 o 1 J 212 19 180 13 2 Warwick 87,563 129 o 36 27 66 2,558 341 2,038 179 36 Westerly 23,765 34 o 15 o 19 620 89 510 21 2 West Warwick 30,121 77 1 16 12 48 482 87 367 28 1 1 ^Voon socket 44,143 183 o 48 29 106 1,320 307 919 94 24 SOUTH CAROLINA Aiken 26,300 75 o g 29 38 1,141 146 933 62 2 Anderson 25,940 210 2 g 60 140 1,592 273 1,211 108 o Beaufort 12,601 159 1 9 44 105 847 161 639 47 3 12,509 1 15 1 1 1 18 85 861 104 677 80 4 Charleston 99,756 879 15 33 245 586 5,022 888 3,572 562 7 Clemson 12,083 22 0 2 2 18 369 70 268 3 1 1 Columbia 1 18,536 1,342 15 58 461 808 8,127 1,395 5,907 825 15 Conway 12,137 148 ] 9 27 1 1 1 1,388 224 1,081 83 5 Pa clpv 18,558 92 4 7 14 67 901 138 725 38 3 Florence 30,31 1 478 5 21 155 296 3,749 61 1 2,892 246 18 Forest A.cres 10,512 83 1 2 27 53 818 101 670 47 3 Gaffney 13,049 122 1 12 25 84 931 157 724 50 3 Goose Creek 30,473 95 2 18 15 60 730 139 547 44 7 Greenville 56,728 571 2 33 106 430 4,264 781 3,192 291 13 G ree n w o od 22,397 397 2 16 46 333 1,503 32() 1,130 53 5 18,924 105 5 12 27 60 702 107 535 60 5 Han ah an 12,968 61 2 g 16 35 53 1 92 353 86 4 11,174 68 () 3 12 53 320 44 257 19 1 Lexington 10,458 19 o 1 5 13 551 37 491 23 2 Mauldin 16,990 65 o 9 8 48 501 71 401 29 2 Mount Pleasant 53,613 94 1 5 24 63 1,395 162 1,153 80 1 Myrtle Beach 24,764 608 4 63 195 346 4,835 773 3,547 515 10 Newberry 10,790 76 0 4 9 63 544 64 475 5 3 North Augusta 18,247 51 1 2 19 29 779 137 589 53 2 North Charleston 81,476 1,336 12 96 417 811 6,754 1,374 4,428 952 49 North Myrtle Beach 12,135 68 0 13 18 37 1,387 234 1,060 93 6 Ora ii^ebiir' 1 12,706 129 2 5 62 60 1,122 285 760 77 2 Rock Hill 55,137 818 4 39 135 640 3,077 623 2,206 248 18 Simpson vi He 14,843 63 1 3 2 57 683 91 572 20 2 Spartanburg 39,448 821 31 1 85 599 3,777 754 2,679 344 21 S u mmer v llle 30,291 128 2 5 22 99 1,230 181 969 80 5 S umter 39,765 722 5 26 168 523 3,014 793 1,931 29() 15 West Columbia 13,073 330 1 10 51 268 1,203 179 945 79 5 SOUTH DAKOTA Aberdeen 24,416 38 1 15 0 22 514 106 379 29 4 Brookings 18,783 7 0 3 1 3 409 55 336 18 0 Mitchell 14,688 15 0 5 0 10 433 76 340 17 4 Pierre 14,072 25 0 9 0 16 492 47 428 17 6 Rapid City 60,519 242 0 67 35 140 2,712 409 2,167 136 6 Sioux Falls 131,048 392 3 104 40 245 4,023 770 2,997 256 35 Vermillion 10,108 15 0 3 1 11 316 57 253 6 2 Watertown 20,277 35 0 2 1 32 578 110 430 38 2 Yankton 13,497 32 0 14 2 16 348 36 303 9 0 See footnotes at end of table. 170 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft TENNESSEE Athens 13,567 190 1 4 23 162 1,1 16 207 847 62 5 B artlett 42,190 106 2 5 27 7 J 1,347 193 1,060 94 4 Brentwood. 27,969 28 () 2 g 18 470 67 390 13 3 Bristol 25,080 109 1 1 1 14 83 1,285 206 1,006 73 9 Brownsville 10,789 149 1 5 1 J 13 1 512 152 335 25 2 Chattanooga 156,596 1,973 19 89 464 1,401 13,087 2,357 9,306 1,424 62 Clarksville 106,710 636 2 45 102 487 5,444 1,058 4,167 219 30 Cleveland 37,667 310 3 10 30 267 2,099 452 1,518 129 5 Collierville 34,430 75 ] 7 61 617 101 462 54 3 Columbia 33,321 325 1 g 69 247 1,980 448 1,425 107 10 Cooke ville 26,100 67 o g 22 37 1,196 2 1 1 893 92 1 Dickson 12,420 75 o 7 17 5 1 778 1 17 609 52 2 Dyersbur 11 17,360 166 1 14 18 133 1,183 2()5 919 59 7 East Rid (i e 20,370 120 1 7 22 90 1,233 230 912 91 7 Elizabeth ton 13,233 56 o 2 5 48 827 125 635 67 9 Franklin 45,521 78 o 10 13 55 945 92 802 51 3 Oal 1 tit i n 24,833 156 1 10 20 125 1,265 156 1,035 74 g G erm an tow n 37,937 41 1 4 13 23 967 186 729 52 3 Goodletts v i lie 14,204 83 o 5 25 52 818 1 1 1 62 1 86 4 Greene ville 15,284 61 2 9 1 1 39 910 127 722 61 3 Hen tie rsonville 42,540 122 o () 7 1 15 955 157 746 52 6 J ackson 61 100 691 2 ^5 1 98 456 4 329 981) 2 964 i85 1 3 Johnson City 57,202 395 1 1 1 86 297 3,811 546 3,033 232 1 1 Kin "sport 44,702 387 2 40 63 282 3,015 477 2,377 161 20 Knox ville 174,993 1,692 18 81 443 1,150 11,081 2,432 7,231 1,418 137 La Vergne 21,671 159 1 12 g 138 603 150 386 67 5 Lawrencebu r* 1 10,884 1 63 3 4 4 152 788 153 595 40 9 Lebanon 21,013 163 3 1 1 17 132 1,267 209 965 93 2 Lew l s bu rg 10,827 47 2 2 1 1 32 434 101 314 19 o Martin 10 277 43 o 4 9 30 272 47 217 g 1 IVlary ville 24,29 1 79 2 20 16 41 681 122 514 45 5 McMinnville 13,040 63 2 6 10 45 769 15 1 562 56 3 IVlemphis 653,858 10,297 126 438 4,297 5,436 55,475 16,900 30,049 8,526 287 Millington 10,462 84 () 5 17 62 588 108 437 43 3 IV1 orristown 25,330 181 1 16 28 136 1,874 206 1,511 157 5 Mount Juliet 15,584 44 3 2 4 35 553 69 462 22 3 IVlurfre e s b or o 75,468 459 2 27 77 353 3,232 475 2,482 275 1 1 Nashville 554,888 8,331 74 335 2,197 5,725 38,648 7,369 26,630 4,649 127 Oak Ridge 27,437 163 1 18 41 103 1,672 337 1,211 124 4 Red Bank 12,239 66 0 6 10 50 483 135 316 32 2 Sevierville 13,541 63 1 5 14 43 1,031 168 771 92 1 Shelby ville 17,316 104 o 5 21 78 584 153 384 47 7 Smyrna 29,047 147 o 14 20 1 13 1.151 204 872 75 12 Soddy ~Daisy 1 1,972 51 o 4 3 44 321 67 236 18 1 Springfield 15,097 171 2 12 30 127 723 76 591 56 3 Sprinc Hill 10,362 19 1 1 1 16 1 26 22 100 4 3 Til 1 1 LI ll Olll LI 18,444 66 1 2 1 1 52 1,014 208 766 40 2 Union City 10,853 7 1 2 2 14 53 841 122 690 29 5 TEXAS A b 1 1 e n e 1 17,016 517 71 129 3 1 1 6,107 1,814 3,991 302 27 Addison 14 336 8 1 2 5 20 54 1 009 1 i" 7 740 1 1 7 4 Alamo 15,759 41 1 0 13 27 973 86 818 69 7 Alice 19,401 334 0 8 7 319 1,810 300 1,441 69 22 Allen 58,106 60 3 7 12 38 1,377 338 983 56 4 Alvin 22,367 50 0 2 12 36 947 180 722 45 3 Amarillo 179,762 1,501 17 47 378 1,009 11,604 2,203 8,501 900 62 Angleton 18,826 57 1 5 10 41 484 114 334 36 0 Arlington 355,385 1,863 9 167 598 1,089 19,921 3,606 14,656 1,659 42 Athens 11,898 97 1 0 14 82 616 156 423 37 0 Austin 682,319 3,153 27 226 1,251 1,649 42,270 7,240 32,259 2,771 140 Azle 10,123 32 0 4 4 24 357 65 274 18 1 Balch Springs 19,783 128 2 13 37 76 1,325 314 841 170 1 See footnotes at end of table. OFFENSES REPORTED 171 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft TEXAS Continued Bay City 18,737 136 0 1 44 91 1,164 243 899 22 1 Bay town 68,407 264 5 31 75 153 2,925 590 2,103 232 15 Beaumont 114,626 1,051 5 85 331 629 8,829 1,726 6,613 490 59 Bedford 49,130 139 0 28 39 72 1,950 325 1,443 182 1 1 Beeville 13,164 52 o 5 3 43 393 100 279 14 o Bellaire 16,999 39 ] 4 26 g 399 133 247 19 o Belton 14,848 27 1 o 10 16 522 143 346 33 3 Benbrook 20,973 31 0 3 12 16 506 128 333 45 2 Big Spring 25,184 85 ] 19 20 45 1,125 391 693 41 1 Bon ham 10,201 50 1 5 2 42 417 90 302 25 1 B or tr er 13,922 57 1 10 2 44 746 107 604 35 2 B r e nha m 13,779 80 3 10 7 60 589 136 418 35 o Brownsville 152,764 757 g 42 164 543 9,590 1,024 8,121 445 21 Brown wood 19,390 121 o 23 14 84 1,434 309 1,001 124 1 67,706 61 1 2 81 85 443 4,1 10 971 2,963 176 21 Burkburnett 10,946 7 () o 1 204 80 122 2 5 Burleson 24,195 47 o 7 10 30 1,203 172 964 67 5 Canyon 13,182 16 o 2 4 10 146 20 1 17 9 2 C arro 1 1 to n 1 16,897 238 2 15 77 144 4,039 SOS 2,742 489 51 Cedar Hill 37,848 1 18 o g 30 80 1,265 360 810 95 2 Cedar Park 38,351 54 1 12 4 37 638 91 524 23 2 f^lf*hi imp 27 919 1 ^8 4 20 [ ] 103 1 724 ~>9~> 1 322 1 10 4 Clute 10,864 69 1 10 7 5 1 397 79 288 30 2 College Station 7 1 ,647 164 2 40 17 105 2,762 384 2,276 102 1 Colleyville 21,413 10 o o 1 332 60 261 1 j 1 Conroe 39,672 387 o 26 126 235 2,905 521 2,202 182 7 Converse 12,125 23 o 10 (-, 7 304 67 214 23 5 Coppell 40,073 21 o 2 4 15 954 170 709 75 1 Copperas Cove 30,059 152 2 I j I | 1 28 959 270 643 46 Corinth 15,157 9 o o 3 5 195 30 149 16 o Corpus Chnsti 2 462 2 1 2^8 592 1,621 20 101 3 757 15,064 1,280 140 Corsicana 25,579 69 1 1 1 24 33 1,452 316 1,049 87 7 Dallas 1,230,302 16,865 226 601 7,963 8,075 97,900 21,927 58,554 17,419 1,301 Deer Park 29,443 60 o 2 1 j 47 573 145 400 28 2 Del Rio 35,149 165 1 2 !4 148 1,072 181 823 68 0 Demson 23,529 90 1 1 21 67 1,241 237 928 76 1 Denton 91,754 367 3 67 63 234 3,501 673 2,598 23() 21 DeSoto 40,053 135 2 14 36 83 1,943 485 1,277 181 5 Dickinson 17,943 58 2 4 17 35 440 1 17 276 47 2 Do nn a 15,719 88 2 13 13 60 1,150 263 808 79 4 Du m as 14,023 63 o 7 1 1 45 513 88 412 13 7 D unc anv 1 1 le 36,766 163 o 14 55 94 1,738 356 1,164 218 5 Eagle Pass 23,871 37 o o 3 34 819 103 657 59 o Edinburg 53,584 265 5 17 44 198 6,639 765 5,617 257 43 El Campo 11,058 54 0 6 7 41 491 13 1 339 2 1 1 El Paso 586,392 3,502 21 219 581 2,681 21,780 2,185 17,735 1,860 1 17 18,161 66 1 g 23 34 984 167 786 31 3 49,217 125 o 1 1 28 86 1,719 327 1,276 1 16 7 Farmers Branch 27,881 65 o 5 35 25 1,348 247 869 232 o Flower IVlound 59,554 46 o 7 2 37 873 179 667 27 3 Forest Hill 13,429 124 ] 9 33 8 1 458 124 275 59 2 Fort Worth 576,339 3,751 57 243 1,462 1,989 37,529 8,788 25,092 3,649 243 Free port 13,001 54 0 15 14 25 485 173 283 29 1 Friends wood 31,987 72 () 12 7 53 513 120 362 31 4 Frisco 48,393 58 0 14 14 30 1,764 409 1,256 99 7 Gainesville 16,178 88 1 11 33 43 948 248 622 78 1 Galena Park 10,753 33 0 5 7 21 293 76 181 36 2 Galveston 57,566 479 8 85 183 203 3,417 636 2,410 371 8 Garland 223,061 735 7 44 362 322 10,102 2,197 6,848 1,057 Gates ville 15,431 38 0 2 1 35 173 67 103 3 0 Georgetown 33,763 30 1 5 5 19 651 84 510 57 1 Grand Prairie 137,407 495 4 49 153 289 6,764 1,368 4,242 1,154 27 Grapevine 46,543 120 1 5 22 92 1,611 199 1,235 177 5 Greenville 24,885 309 1 8 68 232 2,048 467 1,433 148 4 See footnotes at end of table. 172 CRIME IN THE UNITED STATES Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft TEXAS Continued Grove s 15,654 25 1 o 17 7 621 167 409 45 o Haltom City 40,509 178 1 16 41 120 2,103 539 1,340 224 16 Harker Heights 18,336 52 o 16 18 18 748 221 499 28 2 Harlingen 60,307 324 2 13 53 256 4,260 91 1 3,171 178 15 Henderson 11,323 1 89 o 12 10 167 785 139 609 37 1 Hereford. 14,647 69 () 3 60 672 136 512 24 3 Hewitt 12,130 14 o o o 14 247 78 164 5 o Highland Village 13,737 o 1 I 4 1 33 57 74 2 2 Houston 2,041,081 23,988 278 768 10,985 11,957 120,005 26,522 72,032 21,451 1,553 Humble 15,078 123 2 16 57 48 1,648 148 1,305 195 5 Hunts ville 36,286 158 o 16 21 121 1,230 257 925 48 4 Hurst 37,381 173 2 18 35 1 18 2,423 357 1,930 136 3 199,168 873 7 75 258 533 10,007 1,515 7,254 1,238 56 Jacinto City 10,543 19 o o 10 9 469 89 318 62 o Jacksonville 14,252 96 3 1 j 12 70 757 218 504 35 1 Katy 12,623 89 0 2 10 77 684 76 590 18 1 Keller 33,433 25 o 5 3 16 516 76 426 14 2 Kerrville 21,418 40 1 5 10 23 700 106 57 j 23 1 Kilsorc 11,655 59 o 14 7 38 1,070 153 860 57 o Killeen 94,148 788 5 76 186 52() 5,585 1,812 3,502 27| 23 Kings ville 25,566 156 0 25 19 1 12 1,498 240 1,218 40 5 Lake Jackson 27,373 32 1 5 5 20 857 140 691 26 3 La Marcjue 13,942 89 3 20 28 38 800 24() 491 69 4 Lancaster 27,503 131 o 5 36 89 1,313 562 557 194 5 La Porte 33,730 70 1 g 12 48 651 196 405 50 9 194,516 1,317 29 55 257 976 13,573 1,975 10,619 979 92 League City 52,196 55 1 7 25 22 1,466 337 1,051 78 2 Leander 11,842 19 0 0 1 18 122 29 81 12 4 Levelland 13,133 80 3 g 5 64 478 126 334 18 4 Lewis ville 85,265 1 7 1 3 15 49 104 3,995 61 1 2,952 432 10 Lockhart 12,968 69 o 4 5 60 331 57 256 18 o Long view 75,486 500 4 73 165 258 5,133 1,059 3,616 458 49 Lubbock 206,882 2,395 14 101 31 1 1,969 13,246 2,829 9,726 691 54 33,257 200 1 21 39 139 2,168 483 1,596 89 5 Mansfield 32,122 74 5 g 13 47 925 25 1 627 47 5 Marshall 24,350 128 5 16 40 67 1,320 271 970 79 2 Mc Allen 115,647 512 5 29 145 332 8,542 902 6,985 655 67 McKinney 74 217 161 o 42 36 83 2 017 477 1,408 132 36 Memorial Villages 1 1,915 7 o o 7 o 203 70 128 5 o IVlercedes 14,370 96 o 10 5 8 1 555 169 360 26 7 Mescjuite 130,778 463 1 g 148 306 6,391 855 4,774 762 28 Midland 97,319 510 2 39 74 395 4,037 941 2,925 171 Mineral Wells 17,232 39 1 16 5 16 685 150 498 37 2 Mission 52,232 58 o 2 17 39 3,697 761 2,568 368 o Missouri City 60,106 146 1 19 63 63 1,239 317 832 90 20 Mount Pleasant 14,394 73 o o 21 52 812 190 570 52 5 Nacogdoches 30,760 1 19 1 g 22 88 1,211 233 93 1 47 o N e derl an d 17,300 32 o 5 21 796 188 576 32 o New Braunfels 41,880 156 o 28 24 104 2,669 386 2,197 86 1 ] North Richland Hills 60,106 1 97 1 27 38 13 1 2,681 521 2,008 152 o Odessa 92,375 588 3 12 65 508 4,639 826 3,608 2()5 39 Oranne 18,481 189 1 14 45 129 1,155 261 811 83 7 Palestine 18,007 74 o o 18 56 969 267 647 55 3 Pampa 17,581 140 3 14 15 108 1,416 399 981 36 1 Paris 26,620 343 1 51 41 250 2,530 428 2,008 94 6 Pasadena 147,289 578 5 51 153 369 5,975 1,269 4,068 638 68 Pearland 45,232 65 1 20 14 30 1,242 253 912 77 10 Pflugerville 23,431 26 0 10 3 13 466 62 382 22 2 Pharr 52,075 332 5 10 76 241 3,083 664 2,329 90 13 Plainview 22,257 96 2 9 14 71 1,388 298 1,064 26 7 Piano 241,793 709 5 48 134 522 9,453 1,527 7,254 672 21 Port Arthur 57,769 437 9 20 175 233 2,793 1,055 1,445 293 30 Portland 15,662 31 0 11 4 16 467 83 363 21 0 Port Lavaca 12,125 21 1 3 4 13 451 116 315 20 1 See footnotes at end of table. OFFENSES REPORTED 173 Table 8 Offenses Known to Law Enforcement by City 10,000 and over in Population, 2003 — Continued City by state Population Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft TEXAS Continued Port Neches 13,545 31 0 7 5 18 649 160 452 37 1 Ric hard son 98,463 241 1 16 101 123 3,619 698 2,593 328 7 Richmond 12,047 54 0 5 15 34 492 83 382 27 5 Rio Grande City 12,799 58 0 0 10 48 250 70 123 57 1 Rob s tow n 12,804 42 0 2 7 33 709 244 425 40 0 Rockw3.ll 22,681 30 {) g 9 13 746 124 55 1 7 1 2 10,293 55 2 g 4 41 262 66 163 33 1 Rosenberg 27,558 144 2 24 3 1 87 890 182 647 61 13 Rowlett 50,684 54 2 10 3 39 1,065 228 779 58 5 Sachse 13,217 18 0 0 2 16 248 90 140 18 2 SaginaW 15,628 29 0 5 5 18 408 91 277 40 0 Sji ii A.ngelo 88,782 407 1 77 62 267 5,965 1,264 4,464 237 22 San A.ntonio 1,212,789 7,252 85 537 2,060 4,570 83,000 14,619 62,179 6,202 540 San Benito 24,442 60 0 g 18 34 2 217 358 1,797 62 2 San Marcos 42,249 1 27 1 14 3 1 8 1 1,609 267 1,243 99 2 Santa Fe 10,175 29 0 14 3 12 366 109 230 27 4 Schertz 21,085 28 ] 1 1 5 1 1 409 66 332 1 1 0 S e abro ok 10,335 18 0 2 5 1 1 262 77 170 15 4 S e ag 0 v llle 1 1 ,266 56 2 6 14 34 674 153 416 105 1 S c 2 24 Superior 27,368 74 2 1 1 12 49 1,477 280 1,129 68 Town of Menasha 15,975 1 1 1 6 2 2 236 48 182 6 Two Rivers 12,428 9 1 0 3 5 220 40 173 7 Watertown 22,495 48 0 7 6 35 838 149 660 29 Waukesha 66,564 96 1 16 20 59 1,313 350 908 55 Waupun 10,424 12 0 1 0 1 1 220 56 161 3 Wau sau 37,948 149 1 20 27 101 1,703 344 1,265 94 Wan w ato s a 46,980 133 o 10 72 5 | 1,976 303 1,565 108 West Allis 60,985 166 3 16 84 63 2,386 402 1,781 203 West Bend 28,834 22 o 4 4 14 848 5 | 773 24 Whitefish Bay 14,060 13 o 2 7 4 183 24 151 g Wh l tew ater 13,989 25 o 3 2 2() 345 26 31 1 g Wisconsin Rapids 18,318 I j o 3 I 7 866 155 685 26 WYOMING Casper 50,279 125 4 15 15 91 2,768 464 2,141 163 21 Cheyenne 53,931 1 10 0 23 24 63 2,465 258 2,095 112 6 Evanston 11,506 8 0 2 1 5 551 43 489 19 0 Gillette 21,238 48 0 5 2 41 1,114 93 983 38 10 Green River 11,687 38 0 0 3 35 374 54 312 8 0 Laramie 2 27,022 51 1 4 3 43 946 139 761 46 5 Rock Springs 18,558 126 1 10 10 105 701 104 549 48 4 Sheridan 16,027 28 0 3 1 24 509 54 432 23 0 1 If the FBI does not receive 12 months of arson data from either the agency or the state, no arson will be shown. 2 Due to changes in reporting practices, annexations, and/or incomplete data, figures are not comparable to previous years 1 data. 'The population for the city of Mobile, Alabama, includes 55,864 inhabitants from the jurisdiction of the Mobile County Sheriff's Department. 4 Forcible rape figures furnished by the state Uniform Crime Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines; therefore, the figures were excluded from the forcible rape and violent crime categories. 5 Limited data for 2003 were available for Illinois and Kentucky. b Louisville Metro, Kentucky, is a city-county government that includes the Louisville and lefferson County Police Departments. 7 Aggravated assault figures furnished by these agencies were not in accordance with national UCR guidelines; therefore, the figures were excluded from the aggravated assault and violent crime categories. 178 CRIME IN THE UNITED STATES Table 9 Offenses Known to Law Enforcement by University and College, 2003 Violent crime Property crime University/College by state Student enrollment' Murder and non- negligent Violent man- crime slaughter Forcible Robbery Aggravated Property assault crime Burglary Larceny- theft Motor vehicle theft ALABAMA Alabama State University 5,590 30 0 0 Auburn University: Main Campus 22,469 3 0 0 M o ntg ornery A QRO U u Jacksonville State University C 8,jjO i U u Talladega College ^ in u U U Troy State University 1 1 AAA 1 J,OOU 1 1 u u University of Alabama: Huntsville 6,754 3 0 1 ) Tuscaloosa 19,130 11 0 4 University of Montevallo 2,935 0 0 0 University of North Alabama 5,522 1 0 1 University of South Alabama 12,122 2 0 1 A I A CK" A University of Alaska: Anchorage 15,040 7 0 3 Fairbanks 7,142 10 0 0 ARIZONA Arizona State University, Main Campus JO Q n Central Arizona College 5,328 1 0 1 Northern Arizona University 1 O "7 0 Q ZO u / Pima Community College ZS, 1 / D l J u n u University of Arizona 35,747 23 0 6 Yavapai College 8,162 3 0 0 A T> 1Z A MC A C3 AKIvAIN & AS Arkansas State University 10,568 1 0 1 Southern Arkansas University 3 127 n u o o University of Arkansas: Fayetteville 15,752 2 0 1 Medical Sciences 1 Q1£ 1 ,VJO ] o o University of Central Arkansas 8,486 6 0 1 ( • K I FEVADXTT A Allan Hancock College 12,548 0 0 0 California State Polytechnic University: Pomona 19,041 4 0 1 San Luis Obispo 18 079 3 o 3 California State University: Bakersfield 7,050 1 0 0 Channel Islands 4 0 0 0 Chico 16,704 9 0 3 Dominguez Hills 12,871 6 0 0 Fresno 20,007 5 0 0 Fullerton 30,357 1 0 0 Hayward 13,240 2 0 0 Long Beach 33,259 7 0 3 Los Angeles 20,675 7 0 1 Monterey Bay 3,020 8 0 2 Northridge 31,448 17 0 4 Sacramento 26,923 6 0 0 San Bernardino 15,985 8 0 2 San Jose 4 4 0 2 San Marcos 6,496 1 0 0 Stanislaus 7,534 0 0 0 College of the Sequoias 11,447 3 0 0 Contra Costa Community College 7,432 15 0 1 24 6 266 38 222 6 1 2 301 37 25X 6 0 0 59 1 57 1 1 0 1 02 19 83 0 0 0 10 0 10 0 1 0 1 20 19 100 1 1 2 1 6 77 2 1 6 423 14 400 9 0 0 4 0 4 0 0 0 59 0 59 0 0 1 152 23 121 8 0 (} 4 143 2 ! 36 5 0 0 10 1 14 10 99 5 1 1 30 1,437 156 1,167 114 6 0 0 4 1 X 2S 5 0 1 IX 4X4 61 416 7 7 0 1 210 9 183 18 0 4 1 3 1,233 82 1, 103 48 5 0 3 42 5 36 1 0 0 0 1 16 63 53 0 () 0 0 29 1 2X 0 0 (} 1 23 1 45 1 82 4 0 0 1 229 8 220 1 0 0 5 XX 38 50 0 3 (} 0 43 1 5 26 2 0 3 0 322 40 252 30 0 0 0 197 22 163 12 1 0 1 66 14 50 2 0 0 0 15 2 12 1 4 2 4 262 33 221 8 2 2 4 99 10 74 15 0 0 5 412 30 342 40 1 1 0 163 15 128 20 0 0 2 135 39 88 8 0 1 3 322 14 252 56 1 3 3 2X4 38 229 17 0 2 4 160 38 121 1 1 9 4 3X7 61 298 28 1 1 5 3X3 4X 295 40 1 0 6 147 46 93 8 1 1 1 391 26 358 7 4 0 1 32 6 25 1 0 0 0 61 10 46 5 1 0 3 79 24 44 11 1 5 9 263 22 208 33 0 See footnotes at end of table. OFFENSES REPORTED 179 Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued University/College by state Student enrollment' Violent crime Violent crime Property crime Property crime Arson Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft CALIFORNIA Continued Cuesta College 9,823 () () 0 () 0 82 4 78 () () El Cammo College 24,917 1 0 () 0 1 214 3 193 18 0 Foothill-De Anza College 39,037 2 0 () () 2 180 49 123 8 () Fresno Community Collese 19,888 1 o 1 () 0 221 1 87 26 () Humboldt State University 7,382 5 o 2 1 2 209 18 1 88 3 9 JVlarin Community College 8,475 () () () o () 40 0 36 4 () Pasadena Community College 26,227 3 o 0 o 3 346 5 326 15 1 Reedley College 10,535 o o 0 o 0 34 3 30 1 o Riverside Community College 33,053 () 3 () 3 158 26 121 1 1 () Son Bernardino Community College 12 731 2 o 1 o ] 7^ g 50 1 8 o San Diego State University 34,171 32 () 7 7 18 663 32 471 160 4 San Francisco State University 1 2 o 4 4 4 365 cp 248 25 San Jose/Evergreen Community College 21,140 3 o 0 () 3 1 16 13 96 7 5 Santa Rosa Junior College 26,984 3 o 0 1 2 95 g 83 3 0 Solano Community College 10,703 () () () 0 0 76 2 70 4 () Sonoma State University 7,590 o 2 o 4 175 28 141 5 2 University of California' B er Ice ley 32,128 32 o 4 j 2 16 1,104 91 967 46 5 27,292 4 o I 2 ] 725 65 645 15 5 Hastings College of Law 1,252 2 0 0 2 0 18 1 17 0 0 Irvine 21,885 5 0 1 3 1 596 57 488 51 8 Lawrence-Livermore Laboratory 4 0 0 0 0 0 13 0 13 0 0 Los Angeles 37,494 32 0 10 9 13 1,271 264 946 61 0 JVledical Center Sacramento 4 1 1 o 1 3 7 226 25 1 76 25 () Rivers 1 d e 14,429 5 o () 1 5 485 78 369 38 10 San Die*-'o 21,558 7 o 1 3 3 567 63 450 54 2 San Francisco 3,574 4 o o 3 1 509 49 448 12 () Santa Barbara 20,373 9 o 4 1 4 420 58 358 4 3 Santa Cruz 13,170 o 2 1 3 242 55 1 86 1 3 West Valley ~JVlission College 21,133 0 o 0 0 0 123 10 104 0 COLORADO Arapahoe Community College 7,268 0 o 0 0 0 42 1 37 4 o Auraria Higher Education Center 4 5 o o 1 5 234 7 218 i.) 1 Colorado School of Mines 3,705 0 0 0 0 0 19 3 15 1 0 Colorado State University 28,103 16 0 4 3 9 389 39 340 10 3 Fort Lewis College 4,429 4 0 2 0 2 94 24 69 1 Pikes Peak Community College 9,772 1 0 0 0 1 34 3 30 1 0 University of Colorado' Boulder 30,063 19 o 5 3 1 1 660 1 15 534 1 1 12 Colorado Springs 7,980 2 o 2 0 0 63 1 60 0 Health Sciences Center 2,523 5 () 1 2 2 143 18 124 j () Health Sciences Center Fitzsimons Campus () o 0 0 0 61 1 59 . o University of Northern Colorado 12,301 5 () 1 1 3 313 16 293 4 1 CONNECTICUT Central Connecticut State University 12,368 2 0 1 0 1 72 16 55 1 0 Eastern Connecticut State University 5,337 0 0 0 0 0 94 1 1 81 2 0 Southern Connecticut State University 12,254 3 0 2 1 0 93 9 82 2 0 University of Connecticut: Health Center 4 0 0 0 0 0 36 1 30 5 0 Storrs, Avery Point, and Hartford 4 12 0 5 2 5 321 83 232 6 4 Western Connecticut State University 5,918 2 0 1 0 1 50 8 42 0 0 Yale University 11,136 6 0 1 5 0 417 69 343 5 0 DELAWARE University of Delaware 20,949 26 0 4 8 14 448 46 395 7 2 See footnotes at end of table. 180 CRIME IN THE UNITED STATES Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued Student University/College by state enrollment' Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft FLORIDA Florida A&M University 12,316 23 () 2 10 1 1 529 57 455 17 1 Florida. Atlantic University 7 0 I 2 4 304 68 219 17 1 Florida Gulf Coast University 4,214 ft () 1 () 5 36 1 33 2 () Florida International University 31 727 5 o 1 3 1 55 1 150 369 32 1 Florida State University: Panama City 4 0 o 0 0 0 0 g 0 0 Tallahassee 34,982 23 o 4 9 10 745 68 ft 5ft 21 o New College of Florida 629 0 0 0 0 0 38 2 34 2 0 Pensacola Junior College 10,678 7 0 0 1 6 52 7 41 4 0 Santa Fe Community College 13,224 2 0 0 1 1 44 0 42 2 0 Tallahassee Community College 11,146 4 0 0 0 4 69 1 ftft 2 0 University of Central Florida 35,850 25 o 9 5 1 1 443 82 337 24 () University of Florida 46,515 22 0 ft 7 9 h88 55 593 40 1 University of North Florida 12,992 2 o I 0 1 136 24 108 4 1 University of South Florida: St. Petersburg 4 () () 0 0 0 38 1 34 3 0 Tampa 37,221 18 () 1 ft 1 1 75 1 353 357 41 () University of West Florida 9,052 ft () {) () ft 1 10 10 95 5 3 GEORGIA Abraham Baldwin Agricultural College 2,855 0 o 0 0 o 50 g 42 0 o Albany State University 3,456 () () () () o ftl 4 57 () o Armstrong Atlantic State University 5,747 o o o 0 o 59 ] 5ft 2 {) Augusta State University 5,382 () o o () o 32 2 30 () () Berry College 2,038 o o o o o ftft 1 J 54 1 o Clayton College and State University 4,674 4 o 1 1 2 58 g 43 7 o Coastal Georgia Community College 2,210 () o o () o 19 2 16 1 Dalton State College 3,641 () o o () o 12 2 10 0 () Georgia College and State University 5,079 2 o 2 o o 60 2 58 0 o Georgia Institute of Technology 15,575 10 o I 9 o 1 097 7ft 93 1 90 o Georgia Perimeter College 15,372 5 o 0 1 4 134 1 1 15 18 o Georgia Southern University 14 371 () () () () () 156 2 152 2 Georgia Southwestern State University 2,535 2 o 0 o 2 44 5 39 0 o Georgia State University 25 743 15 () 1 12 2 488 16 461 1 1 Gordon College 3,074 () o () () 0 g 2 5 1 () Medical College of Georgia 1 939 1 () () () 1 148 g 133 7 () Mercer University 7,315 1 o o 0 1 69 1 ft 5 3 o Middle Georgia College 2,163 0 0 0 0 0 20 0 20 0 Morehouse College 2,729 5 0 4 0 1 18 0 115 3 0 Morris-Brown College 2,874 2 0 0 0 2 104 45 45 14 0 North Georgia College 3,858 0 0 0 0 0 38 6 32 0 0 Piedmont College 1,728 0 0 0 0 0 0 0 0 0 0 Savannah State University 2,269 14 0 1 5 8 136 10 117 9 0 Southern Polytechnic State University 3,552 2 o o () 2 83 12 64 7 () South Georgia College 1,325 0 o () o 0 19 5 14 0 o University of Georgia 32,317 9 0 () ft 3 570 18 543 9 2 Valdosta State University 9 230 () o o o 0 187 7 1 80 0 o Young Harris College 594 0 o o (} 0 0 0 0 0 o ILLINOIS 5 INDIANA Ball State University 18,965 17 0 3 2 12 406 71 329 6 2 Indiana State University 11,321 9 0 4 2 3 292 67 219 ft 0 Indiana University: Bloomington 37,963 13 0 3 2 8 ft78 74 600 4 1 Gary 4,639 1 0 0 1 0 42 0 40 2 0 Indianapolis 4 3 0 0 0 3 533 5 511 17 0 New Albany 6,557 0 0 0 0 0 47 0 47 0 0 Marian College 1,260 0 0 0 0 0 12 0 1 1 1 0 Purdue University 39,882 10 0 3 5 2 590 33 551 ft 0 See footnotes at end of table. OFFENSES REPORTED 181 Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued Student University/College by state enrollment' Violent crime Violent crime Property crime Property crime Arsotr Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft IOWA Iowa State University 27,823 1 1 0 4 0 7 367 41 323 3 2 University of Iowa 28,768 9 0 5 2 2 2X2 57 219 6 0 University of Northern Iowa 14,410 2 0 1 0 1 160 20 139 1 1 KANSAS Emporia State University 5,823 0 0 0 0 0 86 6 77 3 1 Fort Hays State University 5,626 0 0 0 0 0 37 12 25 0 1 Kansas State University 22,396 7 0 0 1 6 208 20 188 0 0 Pittsburg State University 6,723 1 () 0 () 1 75 17 57 1 1 University of Kansas: Main Campus OK "781 Zj, io£ 5 0 1 0 4 350 86 259 5 0 Medical Center 2.408 3 0 0 2 1 185 9 167 9 0 Wichita State University 14,854 7 0 2 4 1 158 14 140 4 1 JvkJM 1 UtKi University of Kentucky 23,901 8 0 2 3 3 817 95 698 24 9 LOUISIANA Delgado Community College 13,404 () o 0 () 0 68 6 57 5 () Grambling State University 4,500 g o I 5 2 1 14 51 62 1 0 Louisiana State University: Baton Rouge 4 14 () 2 1 1 1 547 85 440 22 0 Eunice 2,717 0 o o 0 0 0 0 0 0 0 Health Sciences Center, New Orleans 9 638 0 o o o 0 52 0 5 i I o Health Sciences Center, Shreveport 4 3 () () () 3 153 1 145 7 1 Shreveport 4,1 13 0 () {) () 0 19 1 18 0 () Louisiana Tech University 10,694 4 o () 2 2 1 14 16 95 3 1 McNeese State University 7,780 () () 2 4 150 26 122 2 1 Nicholls State University 7,188 1 o o () 1 22 1 21 () () Northwestern State University 9,415 5 0 0 1 4 133 74 50 9 0 Southeastern Louisiana University 14,506 8 0 2 2 4 217 60 148 9 0 Southern University and A&M College: Baton Rouge 9,035 1 1 0 0 5 6 146 15 128 3 0 New Orleans 3,741 0 0 {) 0 0 55 13 33 9 0 Shreveport 1 AAA 0 0 0 0 0 15 0 15 0 0 Tulane University 1 1 QOK 1 1 ,oZJ 9 0 1 4 4 291 41 238 12 2 Univeisity or Louisiana: Lafayette 1 K AQQ 1 J,4oy 13 0 0 1 12 170 75 93 2 0 Monroe 8,762 4 () () 2 2 191 22 167 2 () University of New Orleans 17,014 1 0 0 1 0 170 6 154 10 0 University of Maine: Farmington 2,435 0 0 0 0 0 12 0 12 0 0 Orono 10,698 1 0 0 0 1 244 39 204 1 23 University of Southern Maine 10,966 5 0 3 0 2 108 10 96 2 0 MARYLAND Bowie State University 5,181 19 o {) 2 17 76 12 63 I o Coppin State College 4,032 1 1 o 2 3 5 49 4 39 o Frostburg State University 5,283 6 0 0 0 6 118 45 73 0 0 Morgan State University 6,498 19 0 2 17 0 150 44 101 5 0 Salisbury University 6,682 2 0 0 1 1 157 7 150 0 0 St. Mary's College 1,688 2 0 1 0 1 62 10 50 2 0 Towson University 16,980 4 0 0 1 3 224 42 179 3 1 University of Baltimore 4,639 0 0 0 0 0 102 4 95 3 0 University of Maryland: Baltimore City 5,476 12 0 0 4 8 173 13 158 2 0 Baltimore County 11,237 0 0 0 0 0 226 11 196 19 0 College Park 34,160 36 0 6 12 18 817 154 589 74 2 Eastern Shore 3,295 1 1 0 1 1 9 136 32 102 2 0 See footnotes at end of table. 182 CRIME IN THE UNITED STATES Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued University/College by state Student enrollment' Violent crime violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MASSACHUSETTS Boston University 27,756 29 0 2 21 592 95 490 7 Br3.nd.eis University 4,882 3 0 2 0 1 1 15 45 69 1 0 Bristol Community College 6,132 () () () () 0 22 0 20 2 () Emerson College 4,339 6 () 2 1 3 75 13 62 () 0 Fitchburg State College 5,024 4 o I o 3 134 14 120 0 o Framinsham State College 5,903 5 () 1 o 4 28 g 20 () () Harvard University 24,474 10 () 2 2 6 738 530 202 Holyoke Community College 5,998 3 o () () 3 44 2 42 () () Lasell College 894 1 0 () 0 1 23 g 15 0 0 2 250 o o o o 0 75 4 7 J o 1 Mils sachu setts College of Liberal Arts 1,613 g o 0 1 g 30 2 28 0 o Mils sachu setts Institute of Technology 10,197 12 o 7 2 3 689 101 578 10 Massasoit Community College 6,906 2 0 () () 2 39 2 37 () () IVlount Holyoke College 2,038 1 o 0 0 ] 96 9 86 1 o Northeastern University 23,422 20 1 3 9 7 55 1 26 521 4 2 North Shore Community Collese 6,100 1 () () () 1 14 () 13 | () Quinsi^amond Community College 6,197 0 o 0 () 0 29 0 29 0 o Springfield College 5,007 15 0 0 2 13 130 33 94 3 0 Tufts University: Medford 9,082 8 0 2 2 4 188 35 149 4 0 Suffolk 4 0 0 0 0 0 48 1 47 0 0 Wore ester 4 () o () () 0 17 0 17 () () University of Massachusetts - D artm o u th 7,460 1 1 o 1 o 10 235 13 218 4 o Hurbor Ciimpus, Boston 13,348 1 o o () 1 1 15 4 1 1 1 () 4 Mediciil Center Worcester 686 8 o o () 138 4 133 | 0 Wentworth Institute of Technology 3,273 4 o o 3 1 72 1 7 J 0 Westfield State College 5,153 1 () 1 () 0 50 21 28 1 1 MICHIGAN Central Michigan University 27,797 9 () 6 2 1 238 (i 230 2 3 Delta College 9,764 () 0 () () () 40 () 38 2 0 Eastern IVIichigan University 24,287 1 1 () 4 2 5 544 49 475 20 5 Ferris State University 10,930 4 o 2 () 2 212 5 202 5 2 Grand Rapids Community College 13,483 0 () 0 () 0 148 1 147 () 1 Grand Valley State University 19,762 g () 4 () 4 138 4 133 1 () Lansin 11 Community College 17,358 1 o 0 1 0 1 30 1 129 0 0 Macomb Community College 21,818 o o 0 o 0 56 2 52 2 o IVlichi^an State University 44,227 3 1 o 3 10 18 1,064 1 16 924 24 3 Michigan Technological University 6,603 0 0 0 0 0 111 2 109 0 0 Mott Community College 9,019 1 0 0 0 1 79 2 70 7 2 Northern Michigan University 8,577 2 0 0 1 1 150 3 145 2 0 Oakland Community College 23,503 0 0 0 0 0 71 0 66 5 0 Oakland University 15,875 3 0 0 1 2 126 4 122 0 1 Saginaw Valley State University 8,936 3 o 3 o () 105 5 100 0 o University of Michigan: Ann Arbor 38,248 18 0 4 4 10 1,293 65 1,212 16 7 Dearborn 8,144 0 0 0 0 0 79 0 69 10 0 Flint 6,397 0 0 0 0 0 108 2 104 2 0 Western Michigan University 28,931 5 () 1 () 4 336 25 305 3 MINNESOTA University of Minnesota: Duluth 9,380 2 0 1 0 1 91 6 85 0 0 Twin Cities 46,597 9 0 2 5 2 841 77 749 15 25 MISSISSIPPI Coahoma Community College 1,318 1 0 0 0 1 22 17 4 1 0 Hinds Community College 9,534 2 0 0 2 0 79 15 62 2 0 Itawamba Community College 3,803 1 0 0 1 0 40 35 5 0 0 Jackson State University 7,098 6 0 0 3 3 231 44 181 6 0 See footnotes at end of table. OFFENSES REPORTED 183 Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued Student University/College by state enrollment' Violent crime \ ! lolcnl crime Property crime r rope rty crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft MISSISSIPPI— Continued Mississippi State University 16,878 4 0 0 1 3 25 1 27 220 4 0 University of Mississippi: Medical Center 1,658 3 () () 1 2 178 3 168 7 () Oxford 12,626 2 0 2 0 0 152 10 140 2 1) MISSOURI Central Missouri State University 10 8^2 4 o 1 1 2 121 33 88 0 o Lincoln University 3,332 1 o () () 1 74 16 58 () o Mineral Area College 2,878 3 o 1 1 1 12 9 3 0 {) Missouri Western State College 5,102 16 o 1 o 15 134 47 85 2 o Northwest Missouri State University o.OZj 5 0 2 0 3 41 5 36 0 0 Southeast Missouri State University 9,348 0 0 0 0 0 87 8 79 0 0 St. Louis Community College, Meramec 12,296 0 0 0 0 0 18 0 17 1 0 Truman State University 6,005 3 () 2 () 1 63 10 53 o () University of Missouri: Columbia 23,667 14 0 0 2 12 438 33 404 1 0 Kansas City 12 969 2 0 0 1 1 168 42 113 13 0 Rolla 4,883 0 0 0 0 0 63 15 48 0 0 St. Louis 14 993 4 0 0 1 3 177 31 135 11 4 Washington University 12,187 2 o () 2 0 279 17 259 3 1 NEBRASKA University of Nebraska: Kearney 6,426 0 0 0 0 0 73 22 51 0 0 Lincoln 22,764 3 0 2 0 1 360 87 271 2 0 NEVADA Truckee Meadows Community College 9,697 o o o o o 17 5 12 0 o University of Nevada: Las Vegas 23,313 13 o 4 3 5 491 132 268 91 1 Reno 14,316 1 1 () 7 1 3 189 26 153 10 1 NEW JERSEY Brookdale Community College 11,876 1 o 0 0 1 27 0 27 0 o Essex County College 9,539 2 () () 1 1 75 () 70 5 () Kean University of New Jersey 12 094 0 o o o 0 144 14 1 18 12 o Middlesex County College 10,802 0 () () () 0 70 2 64 4 0 Monmouth University J, IJJ 2 () {) () 2 86 7 73 ft 3 Montclair State University 13,855 12 o 5 o 7 191 34 140 17 1 New Jersey Institute of Technology 8,862 15 o 2 9 4 184 12 125 47 () Richard Stockton College 6,459 2 () 0 () 2 74 13 60 1 0 Rowan University 9,788 7 0 1 2 4 181 21 160 0 0 Rutgers University: Camden 5,097 7 0 0 3 4 118 39 75 4 0 Newark 9,602 8 0 0 8 0 254 16 210 28 0 New Brunswick 35,650 24 () 5 1 1 815 154 637 24 5 The College of New Jersey 6,846 7 o 4 () 3 140 13 123 4 1 University of Medicine and Dentistry: Camden 4 0 0 0 0 0 13 0 13 0 0 Newark 4,660 35 0 0 15 20 480 13 408 59 0 Piscataway 4 4 0 0 1 3 61 0 61 0 0 William Paterson University 10,466 4 0 3 1 0 131 37 89 5 0 NEW MEXICO Eastern New Mexico University 3,556 3 0 1 0 2 65 43 21 1 0 New Mexico State University 15,224 22 0 4 1 17 432 51 377 4 0 University of New Mexico 23,753 27 0 6 6 15 891 43 789 59 3 See footnotes at end of table. 184 CRIME IN THE UNITED STATES Table 9 Offenses Known to Law Enforcement by University and College, 2003— Continued Violent crime Property crime Murder and non- negligent Motor Student Violent man- Forcible Aggravated Property Larceny- vehicle University/College by state enrollment' crime slaughter rape Robbery assault crime Burglary theft theft Arson' NEW YORK Cornell University 4 13 0 0 2 11 468 67 400 1 Ithaca College 6,483 1 0 1 0 0 130 2 128 0 Rensselaer Polytechnic Institute 8,084 1 0 1 0 0 1 15 18 97 0 State University of New York: Buffalo 25,838 18 0 1 12 5 585 140 434 11 Downstate Medical Center 4 2 0 0 0 2 86 2 84 0 Stony Brook 20,855 12 0 2 5 5 695 43 638 14 Upstate Medical Center 4 1 0 0 1 0 206 2 203 1 State University of New York Agricultural and Technical College: Alfred 3,041 5 0 3 1 1 127 18 108 1 Canton 2,223 6 0 4 1 1 105 4 100 1 Cobleskill 2,452 4 0 3 0 1 1 16 17 99 0 Far nn n gd al e 5,449 1 o () 1 o 63 6 55 2 Morrisville 3,130 5 0 2 2 1 109 14 95 0 State University of New York Collese: Buffalo 11,743 6 1 1 0 4 148 21 126 1 Cortland 7,705 0 0 0 0 0 86 6 79 1 Fredonia 5,305 3 0 1 2 0 1 19 14 105 0 Geneseo 5,649 2 0 0 1 1 131 5 126 0 New Paltz 7,838 0 0 0 0 0 84 0 83 1 Old Westbury 3,077 1 0 0 1 0 29 4 25 0 Oswego 8,407 2 0 2 0 0 146 16 130 0 Plattsburgh 6,236 2 0 1 0 1 97 11 86 0 Potsdam 4,325 2 0 1 0 1 96 4 92 0 Purchase 4,018 1 0 1 0 0 120 13 107 0 United States Merchant Marine Academy 850 0 0 0 0 0 17 13 3 1 0 NORTH CAROLINA Appalachian State University 13,762 2 0 0 0 2 167 11 154 2 1 Davidson College 1,673 0 0 0 0 0 57 9 46 2 0 Duke University 11,926 13 0 1 5 7 850 41 796 13 0 East Carolina University 19,412 13 0 2 9 2 316 22 290 4 0 Elon University 4,341 1 o 1 0 0 95 24 7 1 0 () North Carolina Agricultural and Technical State University 8,319 27 o 4 7 16 424 35 375 14 3 North Carolina School of the Arts 789 1 0 0 1 0 49 1 48 0 0 North Carolina State University, Raleigh 29,286 11 0 1 3 7 509 56 448 5 1 University of North Carolina! Asheville 3,293 0 0 0 0 0 38 3 35 0 0 Chapel Hill 25,494 g o 1 4 3 479 28 441 10 1 Charlotte 18,308 3 0 1 2 0 252 31 207 14 2 Greensboro 13,775 6 0 1 0 5 236 29 198 9 1 Wilmington 10,799 4 0 2 1 1 269 54 210 5 0 Wake Forest University 6,271 2 0 1 1 0 131 28 103 0 1 Western Carolina University 6,863 7 0 1 1 5 185 38 142 5 3 Winston-Salem State University 2,992 4 0 0 0 4 131 20 106 5 2 NORTH DAKOTA North Dakota State College of Science 2,292 0 0 0 0 0 36 2 34 0 0 North Dakota State University 10,534 1 0 1 0 0 136 23 113 0 1 University of North Dakota 11,764 5 0 0 0 5 263 15 242 6 1 OHIO Bowling Green State University 18,739 3 0 2 1 0 266 8 255 3 2 Cleveland State University 15,701 8 0 2 4 2 260 7 239 14 0 Columbus State Community College 19,642 5 0 0 0 5 272 6 263 3 0 Cuyahoga Community College 20,496 1 0 1 0 0 101 2 97 2 0 Kent State University 22,828 2 0 0 0 2 281 8 271 2 1 See footnotes at end of table. OFFENSES REPORTED 185 Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued University/College by state Student enrollment' Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft 0JJI0 Continued Lakeland Community College 8,253 2 0 0 0 2 9 0 9 0 0 Marietta College 1,270 2 0 1 0 30 5 25 0 0 Miami University 16,311 3 0 3 0 0 248 37 210 1 4 Ohio State University 48,477 19 () 3 1 1 5 1,426 316 1,077 33 4 Ohio University 20,288 4 o 0 1 3 216 25 188 3 3 Sinclair Community Collesje 19,770 1 () () 1 0 130 0 129 1 () University of Cincinnati 27,289 13 o 3 2 831 136 691 4 0 University of Toledo 20,313 5 o 1 2 2 388 61 315 12 3 Wright State University 13,829 7 () 5 1 1 302 7 287 g 1 Youn (i stown State University 12,243 1 o 1 0 0 177 4 170 3 0 OKLAHOMA Cameron University 5,329 0 o 0 0 0 16 0 16 0 0 East Central University 4,189 o o o o 0 27 14 13 0 o Murray State College 1,891 () () () () () 9 6 2 1 0 1 Ul UlCuMCl 11 wKltlllUllld. rtOclvl \_UllCgC 1 808 3 o o o 3 23 1 ] 1 1 o o Northeastern State College 8,534 5 () 2 1 2 132 12 1 19 1 () Oklahoma State University! Main Campus 22,008 3 () 3 o () 246 53 191 2 1 Okmulgee 2,365 2 0 2 0 0 43 2 41 0 0 0 o 0 o 0 22 0 16 o Rogers State University 2,872 0 0 0 0 0 17 4 13 0 0 Seminole State College 1,961 0 0 0 0 0 27 5 22 0 0 Southeastern Oklahoma State University 3,890 0 0 0 0 0 41 6 32 3 0 Southwestern Oklahoma State University 4,854 () () 0 () 0 20 8 12 () 1 Tulsa Community College 16,741 () () 0 () 0 47 0 47 () () University of Central Oklahoma 14,660 3 () 1 1 1 78 69 | 2 University of Oklahoma' Health Sciences Center 2,862 22 o 1 1 20 228 58 159 1 1 o Norm a n 25,104 7 () 1 5 1 304 48 250 5 PENNSYLVANIA Bloomsburg University 7,914 1 () 1 () 0 65 2 62 | 1 California University 5,948 1 o {) 1 0 37 0 37 0 o Cheyney University 1,514 15 o 2 () 13 44 2 42 () 5 Clarion University 6,271 1 0 () 0 1 60 20 40 0 0 East Stroudsburg University 5,996 3 o 1 2 0 1 15 0 1 14 1 2 Edinboro University 7,498 2 o 0 o 2 80 0 79 1 0 Elizabeth town College 1,902 1 o o o 1 19 0 19 0 0 Indiana University 13,457 19 o 4 1 14 1 10 5 104 o o ICutztown University 8,268 1 o 1 () () 106 9 94 3 () Lehigh University 6,479 7 () 1 4 2 108 3 104 I 0 IVlansfield University 3,303 0 o 0 0 0 32 5 27 o 1 Millersville University 7,556 2 () 1 () 1 107 6 101 () () Moravian College 1,924 2 () 1 1 0 31 0 30 1 () Pennsylvania State University; Altoona 3,823 1 () () 0 1 34 2 32 () () Beaver 759 () o o () 0 13 2 1 1 o 1 B ehrend 3,708 2 o 2 o 0 31 7 24 o 1 Berks 2,329 0 0 0 0 0 35 9 23 3 0 Harrisburg 3,239 0 0 0 0 0 16 5 11 0 0 McKeesport 951 1 0 0 0 1 0 0 0 0 0 Mont Alto 1,164 0 0 0 0 0 10 0 10 0 0 University Park 40,828 8 0 1 2 5 581 38 539 4 3 Shippensburg University 7,193 6 0 5 0 1 55 4 49 2 0 Slippery Rock University 7,197 0 0 0 0 0 74 2 70 2 0 University of Pittsburgh: Bradford 1,467 0 0 0 0 0 17 1 16 0 0 Pittsburgh 26,710 13 0 3 7 3 569 39 521 9 3 West Chester University 12,244 6 0 1 0 5 108 0 102 6 0 See footnotes at end of table. 186 CRIME IN THE UNITED STATES Table 9 Offenses Known to Law Enforcement by University and College, 2003— Continued Violent crime Property crime University/College by state Student enrollment 1 Murder and non- negligent Violent man- crime slaughter Forcible Robbery Aggravated Property assault crime Burglary Larceny- theft Motor vehicle theft RHODE ISLAND Brown University 1 11 A 1,11*+ c J u 1 1 University of Rhode Island 14,264 4 0 0 SOUTH PAROT INA Benedict College 2,938 12 0 0 Clemson University 17,101 2 0 1 Coastal Carolina University 4,965 3 0 0 College of Charleston 11,617 6 0 3 Columbia College 1,476 2 0 0 Denmark Technical College 1,401 0 0 0 Erskine College 948 0 0 0 Francis Marion University J, J 1 3 ] Q o Lander University 2,710 1 0 1 Medical University of South Carolina 2 297 () 0 Midlands Technical College n Q o South Carolina State University 4 467 4 Q () ine Citadel 4,001 0 0 0 Trident Technical College 1U,4D1 n U u University of South Carolina: „ , en J,ZoZ ] U 1 Columbia 23,000 1 7 0 3 Spartanburg I o 1 Winthrop University o,juo 1 3 1 j u u C*""\¥TT , TJ T\A \S f \ r V A SUU IH UAKU1A South Dakota State University 9,260 1 0 0 TF1V1VFSSFF Austin Peay State University 1 u Chattanooga State Technical Community College 8,607 0 0 0 Cleveland State Community College 3,177 0 0 0 Dyersburg State Community College 2,284 15 0 0 East Tennessee State University 1 1 ,33 1 i j u _ Jackson State Community College n ii u u Middle Tennessee State University 20,073 1 1 0 0 Southwest Tennessee Community College 12,736 1 0 0 Tennessee State University 0,DD4 Q II u u Tennessee Technological University O ,U J J () 0 University of Memphis 20,332 6 0 2 Univeisity of Tennessee. Chattanooga 8,485 3 0 Knoxville 26,033 8 0 2 Martin 5,954 3 0 0 Memphis 4 3 0 0 Vanderbilt University 10,338 31 0 5 Volunteer State Community College 6,822 0 0 0 Walters State Community College 5,995 0 0 0 TEXAS Alamo Community College District 4 8 0 0 Alvin Community College 3,671 0 0 0 Amarillo College 8,757 0 0 0 Angelo State University 6,266 1 0 1 Austin College 1,261 0 0 0 Baylor Health Care System 4 7 0 1 Baylor University, Waco 14,221 3 0 0 Central Texas College 15,473 1 0 0 College of the Mainland 3,346 0 0 0 1 3 223 49 174 0 0 2 2 266 34 224 8 4 6 6 266 78 183 5 0 1 0 1 17 11 101 5 0 0 3 1 1 1 19 92 0 0 3 0 1X8 21 160 7 3 2 0 26 2 23 1 0 0 0 3 2 0 1 0 0 0 9 4 4 1 0 0 1 77 5 71 1 0 0 0 41 6 35 0 0 1 4 236 4 226 6 0 0 0 98 3 95 0 <) 3 1 1 79 42 1 36 1 0 0 0 24 0 23 1 0 0 0 53 1 2 4 1 0 0 0 0 13 2 1 1 0 0 4 10 601 26 550 25 1 0 0 45 5 40 0 0 4 9 1 42 40 97 5 0 0 1 8 0 8 0 0 0 0 73 3 70 0 0 0 0 17 1 16 0 0 0 0 0 0 0 0 0 0 15 2 0 2 0 0 0 1 144 20 1 2 1 3 2 0 0 1 8 1 1 6 1 0 5 6 233 3 1 197 5 2 1 0 1 20 3 1 00 1 7 0 3 5 273 7 2 1 7 49 3 0 3 1 88 69 1 1 7 2 1 4 0 309 50 225 34 0 i 1 208 56 144 8 0 i 5 543 20 507 16 0 i 2 79 5 74 0 0 3 0 180 20 147 13 0 8 18 761 87 657 17 3 0 0 22 1 21 0 0 0 0 6 0 6 0 0 4 4 347 2 332 13 0 0 0 11 0 11 0 0 0 0 91 9 77 5 0 0 0 65 9 56 0 0 0 0 40 4 34 2 0 3 3 442 15 416 1 1 0 0 3 240 48 187 5 0 0 1 37 1 36 0 0 0 0 22 6 14 2 0 See footnotes at end of table. OFFENSES REPORTED 187 Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued University/College by state Student enrollment' Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft TEXAS Continued Eastfield College 9,002 () () 0 () 0 55 3 46 ft () El Paso Community College 20,063 2 0 o 0 2 96 2 89 5 0 Grayson County College 3,471 () () () () () 17 5 12 () () Hardin- Simmons University 2,276 0 () 0 () 0 31 12 17 2 0 Houston Baptist University 2,829 o o o o 0 15 3 12 0 o Lamar University, Beaumont 11,214 4 () 2 2 () 187 22 158 7 () Laredo Community College 7 493 1 o 1 o o 24 7 1ft 1 o McLennan Community College 6,133 0 o 0 0 0 49 2 4ft 1 o Midwestern State University 5,969 1 0 1 () () 52 8 43 I 0 Mountain View College 6,055 () () () () () 70 1 5ft 13 0 North Lake College 8,200 1 o o 1 () 42 0 39 3 () Pans Junior College 3,290 o o o o 0 36 ft 30 0 1 Prairie View A&M University 6,747 15 () 2 1 12 245 57 170 18 4 Rice University 4,367 3 o 0 2 1 150 1 148 1 1 Pvichland College 13,313 1 o 0 0 1 103 3 9ft 4 o Southern Methodist University 10,266 ft () 2 3 1 222 19 195 8 1 South Plains College 8,267 0 o 0 0 0 16 3 13 0 o Southwestern University 1,320 1 o 1 o 27 4 23 0 o Stephen F. Austin State University 11,569 2 o () 1 1 lft4 26 137 1 () St. Mary's University 4,135 9 () 3 o ft 74 16 5ft 2 () Sul Ross State University 2,798 1 o 1 () () 26 2 24 () () Tarleton State University 8 027 0 o o o o 58 50 o o Texas A<&N4 International University 3,373 3 o o o 3 21 1 19 1 {) Texas A&M University - College Station 44,618 6 o 1 2 3 639 68 56ft 5 () Commerce 7,988 ft () 2 2 2 1 10 23 8ft 1 2 Corpus Christi 7,369 ] o 0 0 1 ft4 5 59 0 1 Galveston 1,366 () o () () 0 22 2 19 1 1 Kings ville 6,148 3 o 0 1 2 1 1 1 17 92 2 o Texas Christian University 8,054 () o () () 0 271 16 246 9 () Texas Southern University 8,119 13 0 1 3 9 276 58 192 26 4 Texas State Technical College! Harlingen 3,846 2 () 1 () 1 5 1 2 49 () () 4,068 15 o 1 o 14 162 ft ft 91 5 0 Texas State University, San Marcos 4 4 o 2 1 1 265 35 223 7 () Texas Technolosical University, LuDoock 25,573 4 o {) o 4 499 16 480 3 2 Texas Woman's University 7,928 1 o {) o 1 66 7 54 5 0 Trinity University 2,589 3 o 1 o 2 lftl 13 125 23 0 Tyler Junior Colletie 8,546 2 () () () 2 103 17 85 1 () University of Houston' Central Campus 33,007 22 o 3 15 4 555 14 507 34 0 ^ICtil IdJvC 7 738 1 o o o 1 39 3 ^5 1 Downtown Campus 9,704 2 o o 0 2 80 3 74 3 0 University of Mary Hardin-Baylor 2,624 () o o () () 44 4 38 2 () University of North Texas" Denton 27,858 1 J o o 0 1 1 287 41 23ft 10 0 Health Science Center 821 0 o o 0 0 14 0 14 0 o University of Texas" 50 616 4 o 1 2 1 598 53 5^5 10 1 Brownsville 9,373 1 o o 0 1 143 1 125 17 o Dallas 12,454 ft o 4 0 2 lft2 9 151 2 () El Paso 16,220 3 0 0 0 3 221 4 212 5 1 Health Science Center, San Antonio 2,665 0 0 0 0 0 58 3 55 0 0 Health Science Center, Tyler 4 0 0 0 0 0 20 0 20 0 0 Houston 4 4 0 0 0 4 303 5 292 ft 0 Medical Branch 1,927 1 0 0 0 1 186 2 182 2 0 Pan American 13,640 1 0 0 0 1 132 6 125 1 0 Permian Basin 2,409 0 0 0 0 0 32 6 2ft 0 0 San Antonio 19,881 4 0 2 0 2 150 42 106 2 0 Southwestern Medical School 1,554 1 0 0 0 1 235 4 218 13 0 Tyler 3,728 4 0 0 0 4 38 0 38 0 1 West Texas A&M University 6,675 4 0 2 0 2 77 19 58 0 0 See footnotes at end of table. 188 CRIME IN THE UNITED STATES Table 9 Offenses Known to Law Enforcement by University and College, 2003 — Continued University/College by state Student enrollment' Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft UTAH Brigham Young University 32,771 3 () {) () 3 382 8 367 7 1 College of Eastern Uto.li 2 746 3 o 3 o o 17 1 16 o o Southern Utah University 6,095 0 o 0 o 0 46 4 40 2 1 University of Utah 27,668 6 o o 1 5 496 21 448 27 1 Uts.li State University 23,001 2 o 2 o 0 167 26 140 1 0 Utah Valley State College 22,609 1 () () o 1 106 6 99 1 () Weber State University 16,873 3 o 0 o 3 136 30 106 0 o VIRGINIA Christopher Newport University 5,388 2 o 2 o 0 1 15 5 1 10 0 o College of William and Mary 7,489 2 o 1 1 0 186 4 1 82 () () George JVIason University 24,897 I J o 4 1 5 342 19 296 27 3 Hampton University 5,787 2 0 0 2 0 150 36 114 0 0 James Madison University 15,562 4 0 1 0 3 205 9 192 4 1 Longwood College 4,114 1 0 0 0 1 44 0 44 0 0 Norfolk State University 6,721 21 1 2 14 4 187 69 104 14 4 Northern Virginia Community Colle^ ;e 38,159 1 o 0 1 0 155 0 148 7 () Radford University 9,142 7 o 3 o 4 66 o 63 3 o Thomas Nelson Community College 7,885 0 o 0 o 0 28 o 26 2 o University of Richmond 4,369 6 o 2 () 4 108 9 96 3 2 University of Virginia 22,739 4 o () 2 2 243 6 234 3 () Virginia Commonwealth University 25,001 26 o 2 7 17 482 g 463 1 1 3 Virginia State Umveisity 4 638 10 o o 4 106 7 100 4 o WASHINGTON Central Washington University 8,826 8 0 4 0 4 166 28 135 3 3 Eastern ^Vashin^ton University 8,932 2 o I o 1 1 12 21 91 0 o Evergreen State College 4,227 ] o 0 o 1 80 1 73 o University of Washington 37,412 8 () 2 3 3 888 74 759 55 4 Washington State University! Pullman 21,073 7 () 2 () 5 293 66 221 7 Vancouver^ 0 o 0 o 0 15 0 14 1 0 Western Washington University 12,409 2 0 2 0 0 189 12 173 4 0 WEST VIRGINIA Concord College 3,072 3 () 0 () 3 27 2 25 () () Fairmont State College 6,724 () () () () 0 58 1 1 47 () 1 IVlarshall University 16,036 2 o 0 1 1 108 12 94 2 3 West Liberty State College 2,633 1 o 0 o 1 48 2 45 1 o West Virginia State College 4,835 2 o 0 1 1 1 8 5 13 0 o West Virginia Tech 2,374 0 o 0 o 0 g 1 7 0 o West Virginia University 22,774 1 o () () 1 243 2 240 | () WISCONSIN University of ^Visconsm' l£uu Claire 10,802 () o o () o 101 0 99 2 Green Bay 5,851 2 0 2 0 0 81 1 80 0 La Crosse 9,650 0 0 0 0 0 55 3 51 1 Madison 40,922 13 0 5 6 2 416 32 359 25 Milwaukee 24,216 5 0 1 0 4 263 14 248 1 Oshkosh 11,033 3 0 2 1 0 105 13 90 2 Parkside 4,964 1 0 1 0 0 57 1 56 0 Platteville 5,600 2 0 0 0 2 83 4 79 0 Stevens Point 8,832 0 0 0 0 0 93 4 88 1 Stout 8,052 2 0 0 0 2 125 39 80 6 Superior 2,842 4 0 3 0 1 48 12 34 2 Whitewater 10,549 7 0 4 0 3 120 26 91 3 See footnotes at end of table. OFFENSES REPORTED 189 Table 9 Offenses Known to Law Enforcement by University and College, 2003— Continued Violent crime Property crime University/College by state Student enrollment' Murder and non- negligent Violent man- crime slaughter Forcible Robbery Aggravated Property assault crime Burglary Larceny- theft Motor vehicle theft WYOMING Sheridan College 2,729 00 0 0 0 12 3 900 University of Wyoming 12,366 0 0 0 0 0 222 17 203 2 0 1 The student enrollment figures provided by the United States Department of Education are for the 2001 school year, the most recent available. The enrollment figures include full-time and part-time students. See Appendix I for details. 2 If the FBI does not receive 12 months of arson data from either the agency or the state, no arson will be shown. 1 Due to changes in reporting practices, annexations, and/or incomplete data, figures are not comparable to previous years' data. 4 Student enrollment figures were not available. 5 Limited data for 2003 were available for Illinois and Kentucky. NOTE: Caution should be exercised in making any intercampus comparisons or ranking schools, as university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of enrollment, etc. 190 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 ALABAMA Metropolitan Counties Autauga 62 2 12 7 41 375 114 212 49 Blount 26 1 g 5 12 817 221 509 87 Calhoun 23 1 4 8 10 532 164 346 22 Chilton 378 3 19 4 352 420 145 260 15 Colbert 95 2 1 7 85 316 121 165 30 Elmore 33 1 14 11 7 697 248 419 30 Geneva 25 2 2 0 21 169 62 89 18 Greene 35 0 0 2 33 1 63 73 81 9 Hale 43 0 0 2 41 161 57 83 21 Henry 29 3 3 3 20 144 45 84 15 Houston 18 1 4 2 11 386 128 227 31 Jefferson 393 4 34 157 198 4,537 1,336 2,773 428 Lauderdale 31 2 3 3 23 604 193 383 28 Lawrence 26 1 3 3 19 459 138 283 38 Lee 88 1 12 14 61 1,210 381 735 94 Limestone 3 1 1 4 25 398 1 35 209 54 Lowndes in i j 1 1 0 i i 1 4 7AA 1 4_ 7 } I J Madison J 55 1 20 29 1 03 2,095 1,236 206 Mobile 301 4 29 45 223 2,456 910 1,407 1 39 6 Montgomery 0 1 yj T> J 1 1 1 0 0 I / 04 7 1 □ 177 4/ / Oil Morgan 21 0 1 9 II 482 222 238 22 Shelby 83 1 19 29 34 740 268 390 82 St. Clair 45 1 13 7 24 444 1 15 301 28 Tuscaloosa 215 0 10 19 186 1,898 591 1,088 219 Walker 56 () 3 17 36 1,379 545 701 133 Nonmetropolitan Counties Baldwin 71 0 39 3 29 699 259 440 0 Cullman 124 2 16 11 95 1,808 566 1,091 151 Jackson 49 2 12 34 693 250 326 117 Marshall 44 1 7 2 34 368 133 190 45 Talladega 69 0 5 1 2 52 558 157 345 56 ARIZONA Metropolitan Counties Coconino 1 1 1 ! S 7 95 733 206 477 50 6 Maricopa 0 1 1 7= JU 47J 0,884 Z,U07 7,0 J 7 1 , loo 711 Pima 799 28 77 1 7 1 1 /4 520 12,345 2,352 8,235 1 ,758 1 32 Pinal 1 203 5 33 36 129 2,985 718 1,732 535 14 Yavapai 285 5 14 12 254 1,969 587 1,210 172 1 Yuma 356 3 3 12 338 1,353 547 611 195 0 Nonmetropolitan Counties Apache 71 1 1 68 264 88 169 7 3 Cochise 677 4 25 13 635 1,290 366 71 1 213 18 Gila 122 0 5 0 117 703 330 315 58 2 Mohave 190 6 0 10 174 2,704 893 1,539 272 27 Navajo 72 0 9 4 59 646 360 242 44 4 ARKANSAS 3 Metropolitan Counties Benton 60 2 13 4 41 261 66 163 32 5 Cleveland 6 0 0 2 4 177 96 67 14 20 Craighead 51 0 1 7 43 451 139 273 39 6 Faulkner 155 2 5 1 147 617 181 385 51 1 Grant 3 0 2 0 30 16 13 1 1 Jefferson 85 2 8 9 66 287 215 69 3 10 Lonoke 32 0 6 0 26 320 138 174 8 7 Miller 63 1 9 4 49 316 90 201 25 10 See footnotes at end of table. OFFENSES REPORTED 191 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' , \ k iV'A .\ ,t \ o — i^onunuea Metropolitan Counties — Continued Poinsett 8 0 0 2 6 120 101 14 5 5 Pulaski 1X2 4 24 32 122 2,016 343 1,482 191 13 Sebastian 48 1 5 2 40 200 154 44 2 2 Nonmetropolitan Counties Baxter 46 0 7 0 39 366 73 265 28 1 Independence 28 0 2 1 25 1,078 363 671 44 1 Pope 38 0 7 3 28 372 132 228 12 0 CALIFORNIA Metropolitan counties Alameda 513 8 49 182 274 3,366 760 1,827 779 52 Contra Costa 554 9 31 115 399 3,710 914 2,788 8 23 El Dorado 233 2 24 23 184 2,227 729 1,478 20 13 Fresno 3 771 11 59 141 560 6,185 1,774 3,306 1,105 387 Imperial 224 8 7 9 200 750 249 482 19 27 Kern 1,809 15 1 19 283 1,392 10,532 3,400 5,546 1,586 257 Kings 103 3 7 16 77 493 196 291 6 3 Los Angeles 7,971 144 225 1,756 5,846 20,591 4,921 9,463 6,207 539 Madera 338 5 17 21 295 1,457 658 778 21 7 Marin 211 0 5 33 173 1,126 263 862 1 5 Merced 466 7 20 49 390 1,997 941 1,029 27 9 Monterey 222 5 27 62 128 2,257 656 1,583 18 31 Napa 37 2 10 1 24 427 138 277 12 4 Orange 210 3 9 38 160 1,612 323 1,042 247 26 Placer 152 2 21 20 109 1,999 691 1,231 77 20 Riverside 2,374 29 85 304 1,956 12,492 3,135 6,673 2,684 72 Sacramento 4,069 38 295 1,262 2,474 25,379 6,484 17,670 1,225 305 San Benito 45 0 5 4 36 330 174 147 9 2 San Bernardino 1,136 32 57 229 818 7,575 2,463 3,387 1,725 125 San Diego 1,272 17 84 221 950 8,876 2,621 4,389 1,866 50 San loaquin 926 15 21 156 734 5,009 1,486 3,271 252 27 San Luis Obispo 156 1 20 10 125 1,352 438 910 4 16 San Mateo 78 2 10 44 22 1,684 201 1,268 215 17 Santa Barbara 215 1 37 34 143 1,697 535 1,151 11 20 Santa Clara 352 1 42 39 270 2,059 475 1,354 230 5 Santa Cruz 325 5 22 32 266 2,549 712 1,821 16 21 Shasta 298 2 26 15 255 1,325 566 698 61 42 Solano 162 () 16 18 128 547 274 250 23 35 Stanislaus 925 6 41 181 697 4,562 1,157 2,568 837 322 Sutter 1 25 3 9 6 107 899 346 508 45 Tulare' 630 11 33 6,8 518 1,045 2,066 594 Ventura 194 9 15 21 149 1,098 313 650 135 23 Yolo 75 1 9 6 59 371 136 230 5 12 Yuba 230 3 23 36 168 1,511 614 888 9 29 Nonmetropolitan Counties Calaveras 2(17 2 14 10 181 613 229 379 5 10 Humboldt 104 7 13 10 74 1,121 335 778 8 1 1 Lake 231 0 9 19 203 909 389 511 9 3 Mendocino 262 6 14 17 225 901 387 503 11 10 Nevada 124 2 12 5 105 987 344 625 18 7 Tehama 104 0 5 6 93 742 303 439 0 30 Tuolumne 204 4 13 13 174 1,169 540 619 10 9 COLORADO Metropolitan Counties Adams 432 8 36 53 335 4,313 958 2,482 873 50 Arapahoe 264 2 35 28 199 1,832 462 1,126 244 24 See footnotes at end of table. 192 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' COLORADO— Continued Metropolitan Counties — Continued Boulder 108 0 16 0 92 938 199 690 49 1 1 Broomfield 32 () 4 7 21 1,626 158 1,373 95 10 Clear Creek 9 0 4 0 5 99 19 73 7 0 Douglas 176 3 56 19 98 3,010 540 2,236 234 27 Gilpin 11 0 0 0 11 58 17 38 3 1 Jefferson 331 3 36 43 249 3,520 654 2,523 343 40 Larimer 109 0 26 9 74 1,534 325 1,105 104 28 Mesa 87 1 1 15 70 1,424 325 984 115 27 Park 5 o 2 0 3 81 37 41 3 0 Pueblo 40 1 1 7 31 1,349 324 978 47 2 Teller 1 0 0 0 1 97 33 55 9 0 Weld 1 3 1 1 J 1 1 1 7C -J / VO 1 7 1 Q 1,Z 10 7 1 7 A7 7 6J_ 777 1^3 77 __ Nonmetropolitan Counties Eagle 30 0 6 2 22 580 58 517 5 7 Fremont 25 0 1 2 22 1 93 32 154 7 2 La Plata 16 0 3 0 13 311 92 194 25 0 DELAWARE Metropolitan Counties New Castle County Police Department 1,312 6 124 262 920 6,667 1,882 3,784 1,001 13 FLORIDA ivietropolitan bounties Alachua 861 2 50 88 721 3,871 1,160 2,409 302 24 Baker 99 0 1 10 88 427 89 296 42 8 Bay 475 2 61 56 356 3,543 596 2,728 219 0 Brevard 1,245 7 79 142 1,017 5,457 1,582 3,449 426 44 Broward 831 7 71 164 589 2,218 522 1,342 354 12 Charlotte 398 4 24 47 323 4,115 1,118 2,774 223 4 Clay 431 3 37 61 330 2,774 605 1,955 214 23 Collier 1,367 10 101 220 1,036 6,451 1,751 4,285 415 40 Escambia 1,493 8 111 305 1,069 9,545 2,546 6,378 621 27 Gadsden 152 4 13 24 111 615 230 334 51 3 Gilchrist 78 0 0 3 75 294 81 200 13 0 Hernando 884 5 69 60 750 4,471 1,240 2,933 298 53 Hillsborough 5,515 29 313 1,077 4,096 31,976 6,677 21,417 3,882 172 Indian River 290 3 52 39 196 2,979 642 2,172 165 10 Jefferson 64 0 7 2 55 134 32 85 17 6 Lake 681 1 37 33 610 3,326 1,246 1,784 296 15 Lee 1,310 14 88 342 866 9,961 2,964 5,838 1,159 131 Leon 411 2 29 43 337 1,737 783 773 181 23 Manatee 1,775 8 62 338 1,367 9,887 2,511 6,652 724 44 Marion 1,340 8 1 16 79 1,137 4,762 1,540 2,882 340 10 Martin 456 4 18 105 329 3,201 730 2,294 177 10 Miami-Dade 11,583 95 588 3,019 7,881 67,939 11,565 46,719 9,655 194 Nassau 791 4 15 15 757 1,018 440 473 105 0 Okaloosa 393 3 27 82 281 3,288 653 2,432 203 5 Orange 5,143 38 294 1,339 3,472 30,505 7,336 19,258 3,911 0 Osceola 666 1 68 93 504 4,794 1,928 2,513 353 1 1 Palm Beach 2,931 24 225 678 2,004 21,778 5,074 13,782 2,922 138 Pasco 1,400 15 160 167 1,058 10,266 2,699 6,748 819 51 Pinellas 1,138 7 167 154 810 8,512 2,139 5,698 675 34 Polk 1,546 16 73 182 1,275 9,953 3,086 5,983 884 0 Santa Rosa 297 0 36 23 238 1,915 595 1,229 91 7 Sarasota 798 7 46 111 634 8,453 2,002 6,016 435 1 1 Seminole 599 7 38 79 475 3,785 890 2,629 266 6 St. Johns 459 3 6 52 398 2,472 587 1,705 180 4 St. Lucie 399 1 27 55 316 2,189 710 1,275 204 21 See footnotes at end of table. OFFENSES REPORTED 193 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 FLORIDA— Continued Metropolitan Counties — Continued Volusia 1,052 8 104 115 825 4,918 1,324 3,012 582 42 waKulla 1 23 0 16 5 102 566 172 348 46 1 4 Nonmetropolitan Counties Citrus 358 2 41 13 302 2,018 480 1,413 125 5 Columbia 261 1 21 20 219 1,416 539 753 124 14 DeSoto 132 1 7 16 108 882 457 394 31 1 Flagler 162 2 6 26 128 1,123 273 779 71 2 Hendry 176 8 1 1 30 127 717 200 451 66 3 Highlands 149 1 30 16 102 1,614 633 869 1 12 3 Jackson 138 3 3 1 1 121 649 195 423 31 0 Levy 171 2 29 6 134 809 276 470 63 14 Monroe 267 3 24 27 213 2,324 401 1,774 149 1 1 Okeechobee 2(13 1 14 24 164 687 303 338 46 7 Putnam 628 3 29 52 544 1,813 774 857 182 12 Sumter 159 4 14 19 122 802 230 510 62 1 Suwannee 99 1 6 9 83 643 202 376 65 2 Walton 107 1 3 6 97 863 240 570 53 5 GEORGIA Metropolitan Counties Augusta-Richmond 1,039 31 154 448 406 11,240 2,234 7,853 1,153 Bartow 72 0 1 14 57 1,954 545 1,122 287 0 Bibb 96 2 22 19 53 2,784 692 1,779 313 Brantley 25 1 3 1 20 433 147 254 32 1 Brooks 77 0 0 1 76 221 72 128 21 2 Bryan 26 0 1 6 19 533 81 442 10 0 Burke 163 1 0 3 159 446 138 289 19 0 Butts 45 2 5 11 27 582 109 387 86 0 Catoosa 40 2 2 11 25 1,051 236 700 1 15 Chatham County Police Department 184 8 11 65 100 2,754 723 1,777 254 4 Chattahoochee 7 0 2 0 5 48 25 20 3 3 Clayton County Police Department 949 20 70 455 404 8,620 2,443 4,531 1,646 31 Cobb County Police Department 1,053 24 105 383 541 12,283 2,745 7,918 1,620 78 Columbia 63 3 19 12 29 1,846 278 1,487 81 8 Coweta 47 0 3 16 28 1,219 346 687 186 9 Crawford 13 0 1 0 12 369 117 226 26 Dade 1 1 0 2 2 7 152 49 88 15 Dawson 25 1 1 3 20 424 80 293 51 3 DeKalb 2 0 0 1 1 1 0 1 0 0 DeKalb County Police Department 1 3,175 80 159 1,974 962 34,547 7,548 19,733 7,266 148 Dougherty County Police Department 29 1 6 14 8 361 102 231 28 1 Douglas 149 4 8 26 111 1,877 381 1,269 227 1 Effingham 64 0 4 6 54 586 202 308 76 Fayette 33 4 1 13 15 519 81 399 39 2 Floyd County Police Department 76 4 0 8 64 1,676 438 1,094 144 Forsyth 246 3 20 10 213 2,308 515 1,577 216 Fulton 25 0 2 3 20 46 4 39 3 0 Fulton County Police Department 782 11 42 472 257 8,009 1,846 4,968 1,195 28 Glynn County Police Department 1 1 16 59 4,266 534 3,624 108 6 Gwinnett County Police Department 1,398 33 149 624 592 15,901 4,071 9,710 2,120 113 Hall 228 6 23 27 172 3,133 740 1,968 425 7 Haralson 32 0 4 27 522 171 242 109 Jones 19 1 2 1 15 576 112 403 61 Lee 43 0 6 8 29 537 104 401 32 0 Liberty 56 0 5 17 34 654 140 482 32 Long 30 0 0 5 25 164 80 75 9 3 Lowndes 95 0 16 14 65 1,118 262 788 68 Madison 50 1 0 6 43 608 176 361 71 6 Marion 8 0 0 0 8 6 4 2 0 0 See footnotes at end of table. 194 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 GEORGIA— Continued Metropolitan Counties — Continued McDuffie 39 1 3 3 32 404 85 284 35 0 Mcintosh 18 0 0 0 18 225 63 144 18 Meriwether 35 0 2 4 29 389 lift 201 72 1 Monroe 10 (1 2 3 5 361 128 19ft 37 0 Murray 53 1 0 0 52 651 244 357 50 0 Newton 63 4 4 19 3ft 1,269 385 706 178 7 Oconee 1 8 o 1 4 1 ^ 415 78 308 29 o Oglethorpe 58 1 6 0 51 285 70 186 29 0 Paulding 203 1 12 8 182 2,030 488 1,251 291 5 Pickens 1 3 U 0 0 1 2 1 J 4j2 163 230 59 0 Pike 1 2 U 0 2 10 1 /4 48 94 32 1 Rockdale 184 0 18 33 133 2,267 517 1,545 205 8 Spalding 142 1 1 1 26 104 1,225 299 787 139 0 Terrell 22 0 0 3 19 104 35 58 1 1 0 Walker 23 1 2 7 13 811 239 514 58 35 Walton 26 0 0 8 18 762 224 424 1 14 2 Whitfield 160 3 | | 18 128 2,326 563 1,494 269 1 1 Worth 13 o 1 1 1 [ 153 50 88 15 0 Nonmetropolitan Counties Baldwin 6/ U 2 i i j4 A 1 ! 0 1 4 163 422 29 rsunocn 4_ U i 1 1 i _ _V Jv4 1 J 3 1117 J4 Habersham 3 1 1 6 2 22 426 1 3 1 25 1 44 1 Jackson 4_ i 1 j 0 sin 70 Laurens C 1 0 1 2 n 1 c J 67 603 1 89 3ft4 50 4 Troup J _ i i n u J o 1 1/11 1,141 □ is HAWAII Nonmetropolitan Counties Hawaii Police Department 295 6 48 77 164 6,838 1,437 4,924 477 48 Kauai Police Department 188 0 29 20 139 2,855 660 2,036 159 8 Maui Police Department 311 1 24 82 204 7,868 1,345 5,761 762 ft4 IDAHO Metropolitan Counties Ada 109 2 14 3 90 1,633 382 1,166 85 1 4 Bannock J / U j 0 32 24ft ft4 1 77 5 5 Bonneville 73 0 23 3 47 767 1 8ft 524 57 ft Canyon 98 1 12 5 80 828 299 417 112 7 Franklin 0 0 0 0 0 30 1 29 0 0 Gem 4 0 0 1 3 28 14 12 2 4 Jefferson 19 0 1 17 121 25 93 3 0 Kootenai 122 0 21 5 9ft 1,170 397 695 78 17 Nez Perce 9 0 1 0 8 85 19 59 7 0 Owyhee 22 0 ft 0 1ft 120 24 84 12 0 Power 7 0 1 0 ft 57 7 46 4 1 Nonmetropolitan Counties Bingham 17 0 3 13 280 71 182 27 0 Bonner 58 4 11 5 38 470 89 334 47 5 ILLINOIS 4 INDIANA Metropolitan Counties Allen 72 0 18 21 33 1,717 324 1,256 137 5 Bartholomew 19 1 1 1 1ft 297 29 263 5 0 Brown 1 0 1 1 71 38 0 0 See footnotes at end of table. OFFENSES REPORTED 195 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 INDIANA— Continued Metropolitan Counties — Continued Clark 72 1 7 6 58 451 240 163 48 0 Clay 17 1 1 1 14 155 41 99 15 0 Dearborn 46 1 0 0 45 115 101 10 4 1 Delaware 55 0 34 1 20 673 122 475 76 0 Elkhart 48 2 12 14 20 1,961 472 1,243 246 18 Floyd 28 0 0 1 27 648 136 462 50 0 Franklin 10 0 1 0 9 2 1 1 80 1 15 16 2 Gibson 7 2 4 0 1 2 0 0 2 0 Greene 20 0 2 1 17 242 75 152 15 1 Hamilton 16 2 1 4 9 528 188 288 52 8 Hancock 12 0 2 4 6 270 81 178 1 1 2 Harrison 42 0 4 3 35 896 400 436 60 3 Hendricks 139 1 4 12 122 858 261 517 80 5 Howard 61 0 2 7 52 640 142 447 51 1 Johnson 29 0 1 27 500 99 374 27 1 Lake 48 0 6 13 29 641 128 390 123 2 La Porte 50 2 2 9 37 850 218 586 46 1 Madison 14 2 ^ 3 4 ■142 93 1 1 2 37 1 Monroe 93 2 2 5 84 601 216 347 38 6 Newton 6 0 1 2 3 165 52 106 7 0 Porter 38 0 5 J 28 1,189 172 924 93 1 Putnam 191 0 1 1 4 176 349 159 158 32 4 Shelby 5 1 0 1 3 47 343 92 214 37 3 St. Joseph 8 / 1 1 3 30 4.1 2, 1 14 474 1 < 1 o 1,M9 1 2 1 24 Tippecanoe J 1 1 1 > i 4 1 7 03 1 7A7 JO 1 4.1 1 0 Vanderburgh 1 V_ n u O 7 1 70 1 /V 1,UZJ i i n 1 1U Mill ce Warrick 1 If. 1 ^6 n u _ i n 1 1 1 1 1 4 i i i 1 14 4 1 J 6 Wells 5 (I 0 1 i 4 1 37 38 79 20 Nonmetropolitan Counties Grant 8 1 1 4 2 419 112 279 28 4 Henry 8 1 2 1 4 770 223 510 37 1 Kosciusko 19 0 5 5 9 701 152 518 31 7 Lagrange 34 0 0 3 31 213 67 136 10 1 Lawrence 8 0 1 0 7 213 65 137 1 1 4 Steuben 17 1 5 2 9 617 156 430 31 0 Wayne 6 1 1 0 4 143 46 87 10 2 IOWA Metropolitan Counties Benton 2 0 0 0 2 36 15 18 3 0 Black Hawk 2 0 0 0 2 2 0 1 1 0 Bremer 8 0 0 0 8 53 16 35 2 0 Dallas 3 0 1 0 2 159 63 83 13 4 Dubuque 37 0 6 0 31 208 60 115 33 2 Grundy 0 0 0 0 0 81 27 53 1 0 Guthrie 0 0 0 0 0 50 15 34 1 0 Harrison 4 0 0 0 4 168 59 90 19 4 Johnson 77 0 4 3 70 326 109 190 27 0 Jones 6 0 2 0 4 64 11 48 5 0 Linn 42 0 4 1 37 413 141 228 44 10 Madison 5 0 0 0 5 75 24 43 8 3 Mills 29 0 2 26 249 70 119 60 7 Polk 180 1 1 1 13 155 1,114 283 692 139 5 Pottawattamie 29 0 10 0 19 646 219 334 93 1 Scott 55 0 5 2 48 253 53 171 29 2 Story 13 0 1 0 12 178 62 100 16 1 Warren 18 1 2 1 14 340 122 194 24 3 Washington 22 0 6 0 16 85 54 27 4 0 Woodbury 50 0 1 1 48 157 51 97 9 1 See footnotes at end of table. 196 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' KANSAS ivietropolitan Counties Butler 41 1 3 0 37 380 118 233 29 5 Doniphan 4 0 0 0 4 45 12 22 11 1 Douglas 32 1 3 0 28 226 89 123 14 3 Franklin 30 0 2 2 26 202 70 1 12 20 7 Harvey 3 0 0 0 3 1 18 27 84 7 2 Jackson 34 0 2 31 124 45 68 1 1 4 Jefferson 29 0 6 0 23 382 93 260 29 5 Leavenworth 30 0 2 3 25 247 94 118 35 22 Linn 21 0 1 0 20 133 51 68 14 1 1 Miami 30 0 5 0 25 265 104 138 23 17 Osage 27 0 2 1 24 177 73 86 18 6 Sedgwick 188 1 12 10 165 956 274 629 53 7 Shawnee 85 1 1 1 9 64 920 221 616 83 12 Sumner 7 2 2 0 3 1 10 36 69 5 4 Wabaunsee 13 0 1 0 12 121 23 92 6 3 Wyandotte 5 0 0 1 4 4 1 1 2 0 Nonmetropolitan Counties Riley County Police Department 185 1 29 13 142 1,732 273 1,389 70 22 KENTUCKY 4 Metropolitan Counties Boone 155 0 34 15 106 1,215 281 852 82 6 Campbell County Police Department 40 0 23 1 16 193 51 122 20 4 Daviess 60 1 0 6 53 552 179 348 25 1 Woodford 0 0 0 0 0 23 7 16 0 0 LOUISIANA Metropolitan (_ ounlics Ascension 349 7 26 34 282 2,752 611 1,873 268 9 Bossier 58 0 g 0 50 685 119 546 20 3 Caddo 165 7 15 11 132 1,370 332 954 84 0 Calcasieu 267 7 49 59 152 3,616 842 2,550 224 15 Cameron 45 0 2 1 42 242 39 179 24 0 De Soto 136 1 1 2 132 433 157 253 23 0 East Baton Rouge 638 6 55 196 381 10,353 1,678 8,109 566 23 Grant 34 1 1 0 32 458 123 303 32 1 Iberville 188 1 2 1 184 430 72 347 11 2 Jefferson 2,304 41 131 692 1,440 17,065 3,382 11,470 2,213 174 Lafayette 204 2 27 28 147 1,492 484 878 130 18 Lafourche 173 2 25 24 122 1,897 305 1,489 103 10 Livingston 304 1 18 14 271 1,147 744 368 35 3 Ouachita 301 1 33 22 245 2,391 826 1,481 84 6 PI acjue mines 82 1 (, 13 62 439 142 238 59 0 Pointe Coupee 64 0 2 2 60 290 70 176 44 2 Rapides 299 1 13 12 273 1,713 622 962 129 0 St. Bernard 181 3 3 30 145 1,547 296 1,056 195 1 St. Charles 279 3 13 37 226 1,566 435 1,030 101 7 St. Helena 51 1 1 2 47 139 39 82 18 0 St. lohn the Baptist 89 3 1 36 49 1,045 189 741 1 15 9 St. Tammany 372 4 29 39 300 2,863 765 1,832 266 34 Terrebonne 342 3 29 46 264 3,421 928 2,279 214 12 Union 10 1 0 0 9 157 38 112 7 0 West Baton Rouge 90 1 3 22 64 767 57 669 41 1 West Feliciana 35 0 0 1 34 108 13 93 2 0 Nonmetropolitan Counties Acadia 23 2 3 10 8 637 126 495 16 1 St. Landry 172 6 14 150 1,032 337 613 82 3 See footnotes at end of table. OFFENSES REPORTED 197 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 LOUISIANA— Continued Nonmetropolitan Counties — Continued Tangipahoa 702 6 20 59 617 2,717 1,066 1,545 106 9 Vermilion 38 1 1 2 34 275 47 2 1 0 1 8 0 Washington 53 3 6 12 32 339 1 12 193 34 1 MAINE Metropolitan Counties Androscoggin i U u n u i l 7_4 00 in 71 i j Cumberland 7 7 U □ 7 _ I u oyu 75yl _J4 307 7V_ i i 44 7 j Penobscot j | n 2 u Q OU 1 1 10 70t7 —7 1 Sagadahoc 4 11 n u n u A 4 in i _l)4 / J 1 1 o 1 1 V 1 7 7 _ York I 7 II n u n u 1 7 1 J 1 7A 1 JO 1 no 40 7 Nonmetropolitan Counties Aroostook 2 0 0 0 2 107 38 61 8 0 Hancock 6 0 0 1 5 243 76 153 14 0 Kennebec 1 1 0 4 1 6 461 134 306 21 0 Somerset 21 0 4 0 17 296 153 121 22 1 Waldo 29 0 3 1 25 335 95 216 24 0 MARYLAND Metropolitan Counties Allegany 11 0 1 1 9 143 42 94 7 0 Anne Arundel 0 0 0 0 0 0 0 0 0 0 Anne Arundel County Police Department 3,097 19 76 610 2,392 15,573 2,698 1 1 ,647 1,228 137 Baltimore 0 0 0 0 0 0 0 0 0 0 Baltimore County Police Department 6,170 31 21 1 1,609 4,319 27,670 5,372 18,986 3,312 314 Calvert 201 2 7 15 177 1,072 250 753 69 () Carroll 24 0 0 23 126 33 88 5 0 Cecil 61 0 2 6 53 651 210 382 59 0 Charles / 4_ a j JO 1 -1 Q 1 4o J J J! A HOQ AO A nvu 0 SAO JO / A U Frederick 1 AC 1 no i 1 Q o 1 IA 1 40 1,ZZU _4 j> WO A O / 9 Harford Kin j 11 -J 1 (10 10 1 Jy 1 1 ft 11 Z,o JJ 7 I A 1 G1Q 1 o4 A U Howard n u n u n u u u A U n u (| Q Howard County Police Department j 4 J 7 1 40 Tin ^_Z ~>AV _oo A Q^Q o,yjy 1,13 / J,1ZZ AW A now /_ Montgomery 1 M 1 U A A 4 n u 0 A u A u A U A U A Montgomery County Police Department Z, 1 1 J _ 1 1 2/1 1 C\C\A 1,UU4 0 ^ AKQ A CiQA 4,uy4 1 / ,o / J 1 /ICQ 1A 1 ZU 1 Prince George s A u SI U A u u u A u A u A u A u A u Prince George's County Police Department 6,917 116 245 3,553 3,003 44,675 7,331 22,007 15,337 464 Queen Anne's 144 0 5 12 127 621 136 460 25 2 Somerset 0 0 0 0 0 13 4 9 0 0 Washington 147 1 4 IS 124 1,055 229 735 91 0 Wicomico 143 1 12 23 107 874 301 529 44 2 Nonmetropolitan Counties Garrett 27 0 3 0 24 284 58 221 5 0 St. Mary's 241 1 6 33 201 1,514 366 1,054 94 15 MICHIGAN Metropolitan Counties Barry 43 0 12 1 30 220 68 136 16 1 Bay 29 1 12 5 11 763 162 542 59 5 Berrien 106 1 14 g 83 684 179 457 48 1 Calhoun 53 0 6 2 45 433 153 235 45 2 Cass 53 0 13 9 31 927 308 557 62 9 Clinton 9 0 0 0 9 311 97 188 26 4 Eaton 129 2 28 26 73 1,688 350 1,236 102 5 Genesee 63 1 15 10 37 683 150 470 63 7 Ingham 144 0 61 16 67 932 351 491) 91 6 See footnotes at end of table. 198 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 MICHIGAN— Continued Metropolitan Counties — Continued Ionia 40 0 1 1 0 29 382 109 247 26 1 Jackson 69 1 21 4 43 624 161 396 67 8 Kalamazoo 218 0 48 26 144 2,387 635 1,530 222 29 Kent 348 3 70 43 232 4,499 1,046 3,220 233 37 Lapeer 55 1 16 4 34 488 111 352 25 4 Livingston 60 0 12 5 43 834 190 561 83 9 Macomb 251 5 83 13 150 1,998 337 1,507 154 23 Monroe 223 I 47 28 147 2,658 620 1,824 214 59 Muskegon 1 1 1 1 21 6 83 1,567 250 1,237 80 25 Newaygo SO 0 27 2 51 436 198 222 16 3 Oakland 540 2 66 62 410 4,761 801 3,585 375 68 Ottawa 281 1 1 14 13 153 2,906 653 2,079 174 25 Saginaw 127 1 21 15 90 902 188 649 65 7 jI. V_ld.ll 1 58 2 33 1 9 104 1 736 478 1 102 1 56 2 ^ Van Buren 53 1 11 4 37 657 203 399 55 5 Washtenaw 307 6 61 51 189 2,422 726 1,269 427 21 Wayne - ' on 4 2 24 60 i/i 1 24 1 42 13 1 68 1 Nonmetropolitan Counties Allegan 1 10 1 35 2 72 595 184 361 50 1 Branch 28 0 2 0 26 220 53 164 3 4 Clare 43 0 5 0 38 853 364 434 55 17 Grand Traverse 86 0 27 6 53 1,123 189 888 46 9 Hillsdale 34 0 10 0 24 279 88 179 12 1 Isabella 41 0 9 3 29 475 168 273 34 9 Lenawee 34 0 12 2 20 474 164 290 20 1 Mecosta 36 0 10 3 23 716 223 445 48 10 Midland 59 0 22 0 37 489 142 324 23 6 Montcalm 70 0 29 3 38 555 210 301 44 14 Sanilac 27 2 7 0 18 262 87 159 16 1 Shi awa s see 81 1 16 5 59 483 1 10 339 34 4 St. Joseph 39 1 13 1 24 418 135 263 20 7 Tuscola 28 0 6 0 22 298 107 170 21 2 lVJivrvrircoTA 1V11JM n n,a \J 1 A Metropolitan Counties Carlton 31 1 16 1 13 345 84 229 32 1 Carver 50 0 9 3 38 829 117 650 62 5 Clay 9 1 2 1 5 1 12 35 67 10 0 Dakota 15 0 0 2 13 222 82 117 23 2 Dodge 23 0 12 0 11 242 73 152 17 0 Hennepin 25 1 12 11 142 26 103 13 1 Houston 9 0 2 0 7 125 21 95 9 5 Isanti 22 0 8 0 14 266 66 155 45 2 Olmsted 34 0 10 4 20 433 149 244 40 6 Ramsey 17 0 4 0 13 323 29 271 23 4 Sherburne 48 0 6 3 39 602 95 454 53 5 St. Louis 83 1 25 1 56 977 452 443 82 5 Wabasha 4 0 0 0 4 83 23 57 3 0 Washington 73 0 7 3 63 1,152 191 866 95 3 Wright 60 0 14 5 41 2,037 241 1,674 122 10 Nonmetropolitan Counties Beltrami 40 0 13 3 24 536 172 307 57 8 Cass 119 4 76 4 35 1,235 313 806 1 16 2 Crow Wing 22 0 5 1 16 851 295 496 60 5 Itasca 24 0 2 2 20 572 257 278 37 6 Otter Tail 38 0 1 1 1 26 568 188 326 54 2 See footnotes at end of table. OFFENSES REPORTED 199 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 MISSISSIPPI Metropolitan Counties Harrison j j 4 1 3 1 J _u 1 0 1 701 i 7 "a 4_7 1,Z / 5 O / | V 1 7 Hinds 48 3 J 1 7 23 925 380 417 1 28 1 0 Jackson J Z j i 1 O | 7 1 / 1 1 7^ 1,1 / J 14 l| u Lamar 3 1 3 1 1 1 4 I 2 1 3 6_3 1 83 376 66 2 Madison 93 4 8 9 72 477 152 247 78 4 Rankin 2C JD 2 4 6 23 866 33 1 465 70 6 S tone 1 6 i 1 U 3 i 1 1 7 I 64 jj 1UU 1 1 0 Tate 1 i i 1 14 u U 1 1 i t 1 4 i if, 1 /6 i i i 144 47 i 4 Tunica 03 2 9 45 9 68 1 1 38 323 220 0 Nonmetropolitan Counties Lauderdale 39 6 6 9 18 493 256 20,8 29 1 Lowndes 79 0 21 7 51 582 180 371 31 5 Panola 130 1 4 7 1 18 363 194 152 17 4 Pearl River 28 1 9 15 3 761 321 370 70 4 MISSOURI Metropolitan Counties Andrew 4 0 0 2 2 148 37 103 8 0 Boone 66 1 6 15 44 871 168 627 76 2 Buchanan 1 1 0 3 0 8 267 81 15,8 28 6 Caldwell 3 0 0 0 3 43 22 17 4 0 Callaway 26 0 2 8 16 494 127 329 38 2 Cass S3 1 8 5 69 446 114 251 ,81 5 Christian 64 2 6 0 56 519 176 293 50 4 Clay 36 0 3 0 33 169 62 94 13 1 Clinton 39 0 2 1 36 92 34 49 9 2 Cole 44 0 7 5 32 342 103 223 16 3 Dallas 1 0 0 0 1 103 53 44 6 0 De Kalb 17 0 2 0 15 60 20 33 7 1 Franklin 69 0 5 6 58 1,089 267 731 91 4 Greene 24 1 4 4 15 1,401 346 963 92 0 Howard 3 0 0 0 3 39 19 19 1 1 Jackson 79 0 2 9 68 637 210 359 68 3 Jasper 13 0 8 3 2 493 165 275 53 0 Jefferson 385 2 25 8 350 3,034 458 2,212 364 10 Lafayette 40 0 3 3 34 133 71 57 5 0 Lincoln 47 1 0 0 46 242 77 123 42 6 McDonald 54 0 4 4 46 351 149 15,8 44 6 Moniteau 16 0 1 0 15 60 30 29 1 2 Newton 151 0 4 4 143 886 210 603 73 13 Osage 7 0 0 0 7 1 16 60 41 15 1 Platte 32 0 1 30 371 82 260 29 9 Polk 53 0 6 1 46 362 116 203 43 1 Ray 21 0 2 1 18 151 48 82 21 0 St. Charles 211 1 8 11 191 1,371 319 969 83 26 St. Louis County Police Department 898 5 39 185 669 10,464 1,670 7,332 1,462 107 Warren 41 0 3 0 38 190 68 105 17 0 Washington 27 0 3 0 24 150 50 75 25 2 Webster 78 0 1 3 74 295 122 145 28 Nonmetropolitan Counties Camden 26 1 2 22 564 166 366 32 4 Johnson 31 0 3 27 298 116 153 29 0 Pulaski 40 0 3 2 35 200 71 114 15 0 Taney 114 3 6 3 102 598 198 375 25 3 See footnotes at end of table. 200 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 MONTANA Metropolitan Counties Carbon 7 0 0 0 7 46 3 42 1 0 Cascade 41 I 2 37 469 22 421 26 () Yellowstone 75 0 4 6 65 779 125 583 71 3 Nonmetropolitan Counties Lewis and Clark 46 1 6 0 39 316 66 228 22 0 R;i v;ill i 64 0 8 () 56 141 32 93 16 1 NEBRASKA Metropolitan Counties Dakota 4 0 0 0 4 66 21 39 6 0 Dixon 1 0 1 0 0 61 28 30 3 0 Douglas 140 1 4 13 122 1,358 21 1 1,029 1 18 1 Lancaster 11 0 2 2 7 502 113 366 23 2 Saunders 2 2 0 0 0 154 43 89 22 4 Seward 4 0 1 0 3 76 26 47 3 0 ^Vashington o 1 o 103 ^4 63 1 NEVADA Metropolitan Counties Carson City 265 0 1 24 240 1,807 430 1,214 163 15 o o 5 o 48 7 38 3 2 Washoe 313 7 4 23 279 1,488 495 810 183 6 Nonmetropolitan Counties Douglas 74 0 0 9 65 1,064 269 736 59 4 g4 ] j | 5 76 762 229 462 7 [ g Nye 1(H) 0 2 14 84 1,177 534 579 64 7 NEW JERSEY Metropolitan Counties Essex County Police Department 85 3 1 j 33 38 141 13 102 26 3 NEW MEXICO Metropolitan Counties Bernalillo 822 9 48 1 16 649 2,954 924 1,588 442 63 Sandoval 39 0 0 1 38 161 95 58 8 0 San Juan 152 1 23 13 115 1,080 235 774 71 3 Santa Fe 270 0 39 16 215 1,014 507 446 61 Nonmetropolitan Counties McKinley 100 0 8 4 88 334 100 209 25 7 NEW YORK Metropolitan Counties Albany 29 0 0 0 29 123 30 87 6 Broome 63 0 14 15 34 1,132 148 944 40 Chemung 44 0 1 2 41 336 70 249 17 Dutchess 72 1 4 6 61 917 239 633 45 Erie 70 1 10 10 49 1,072 216 797 59 Herkimer 5 0 0 0 5 0 0 0 0 Madison 18 0 5 1 12 153 42 103 8 Monroe 252 4 28 70 150 5,329 772 4,234 323 18 Nassau 1,790 13 86 774 917 16,046 2,567 11,702 1,777 See footnotes at end of table. OFFENSES REPORTED 201 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 NEW YORK— Continued Metropolitan Counties — Continued Oneida 106 2 40 Onondaga 198 3 20 Ontario 51 0 7 Orange 13 0 1 Orleans 15 0 3 Oswego 33 2 10 Putnam 45 0 5 Rensselaer 51 0 1 Rockland 3 0 0 Saratoga 29 1 5 Schenectady 8 0 0 Schoharie 4 0 0 Suffolk 232 0 1 Suffolk County Police Department 2,401 31 1 12 Tioga 1 1 1 2 Tompkins 15 1 3 Ulster 38 1 4 Warren 71 0 9 Washington 99 0 1 Westchester Public Safety 50 0 2 Nonmetropolitan Counties Allegany 2 0 0 Cattaraugus 46 1 8 Cayuga 24 0 4 Chautauqua 60 1 3 Chenango 66 0 3 Columbia 9 0 0 Cortland 1 1 0 3 Delaware 18 0 2 Essex 0 0 0 Franklin 0 0 0 Fulton 20 0 4 Genesee 50 1 12 Greene 13 0 0 Jefferson 43 0 16 Steuben 4 0 0 St. Lawrence 40 0 6 Sullivan 42 0 3 Wyoming 54 0 4 NORTH CAROLINA Metropolitan Counties Alexander 37 2 7 Anson 39 5 0 Cabarrus 43 2 6 Caldwell 86 1 2 Catawba 1 17 5 g Chatham 99 0 8 Cumberland 788 5 23 Currituck 50 0 7 Durham 97 0 1 Edgecombe 72 1 6 Forsyth 301 6 22 Franklin 36 1 2 Gaston County Police Department 211 6 19 Greene 75 0 5 Guilford 254 1 15 Haywood 86 1 6 Henderson 80 1 18 See footnotes at end of table. 202 CRIME IN THE UNITED STATES 3 61 634 166 435 33 55 120 2,217 423 1,734 60 23 12 32 1,073 236 787 50 0 12 5 0 5 0 3 9 161 43 98 20 2 19 353 134 192 27 10 30 404 93 289 22 1 49 521 113 394 14 0 3 57 1 53 3 4 19 755 155 568 32 5 0 8 1 0 1 0 1 3 1 1 1 33 75 3 1 230 35 1 1 18 6 958 1,300 26,883 4,091 19,959 2,833 2 6 221 68 139 14 4 7 513 102 390 21 0 33 161 41 115 5 3 59 947 172 752 23 2 96 215 73 141 1 4 44 270 32 224 14 1 13 0 12 1 1 36 414 151 238 25 1 19 339 67 262 10 4 52 958 215 715 28 0 63 425 109 310 6 3 6 314 75 229 10 2 6 312 53 257 2 2 14 85 38 47 0 0 0 1 0 1 0 0 0 0 0 0 0 0 16 390 102 267 21 2 35 583 139 409 35 0 13 22 9 9 4 3 24 415 88 318 9 2 2 304 100 190 14 6 28 390 109 263 18 4 35 580 133 414 33 4 46 425 225 187 13 4 24 720 297 358 65 7 15 19 419 183 199 37 5 g 27 827 351 451 25 6 6 77 1,144 417 655 72 8 17 87 1,915 745 1,078 92 14 18 73 1,152 434 638 80 6 147 613 6,275 2,314 3,628 333 82 3 40 637 191 424 22 4 16 80 944 208 679 57 1 21 44 759 310 404 45 4 46 227 3,908 1,107 2,625 176 37 13 20 921 437 436 48 2 28 158 1,767 690 898 179 26 11 59 647 279 335 33 3 54 184 2,267 714 1,360 193 29 7 72 804 245 497 62 10 10 51 1,278 509 684 85 4 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor County by state Violent crime man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft vehicle theft Arson' NORTH CAROLINA— Continued Metropolitan Counties — Continued Hoke 172 4 12 36 120 1,220 533 611 76 14 Johnston 184 3 10 38 138 2,367 750 1,407 210 16 Madison 12 0 1 0 11 128 56 58 14 1 Nash 61 7 0 14 40 822 324 426 72 10 New Hanover 169 0 16 44 109 2,571 828 1,639 104 13 Orange 44 3 3 32 6 886 386 436 64 2 Pender 50 1 2 12 35 726 293 367 66 2 Person 85 0 3 3 79 465 228 230 7 0 Pitt 246 2 24 29 191 1,846 678 1,068 100 6 Rockingham 89 1 4 18 66 1,479 453 984 42 0 Stokes 160 1 10 6 143 994 381 547 66 15 Wake 168 7 24 38 99 2,699 974 1,510 215 20 Wayne 157 5 0 39 113 1,951 772 1,066 1 13 3 Yadkin 37 2 6 1 28 534 187 299 48 6 won metropolitan counties Beaufort 95 2 g 16 69 907 399 475 33 6 Bladen 207 5 g 17 177 961 436 469 56 10 Carteret 44 0 7 6 31 549 189 314 46 4 Cleveland 1 0 20 34 1,833 623 1,109 101 3 Craven 1 1 1 0 12 15 84 1,524 483 949 92 2 Davidson 63 3 0 19 41 1,868 35 1,649 184 8 Granville 45 1 7 11 26 762 367 341 54 4 Halifax 94 7 14 28 45 995 488 427 80 12 Harnett 296 8 7 38 243 2,606 1,184 1,207 215 17 Iredell 187 2 16 22 147 1,708 605 984 119 1 1 Lee 28 1 9 10 8 624 293 273 58 15 96 0 3 14 79 882 367 478 37 5 Macon 16 1 0 2 13 521 211 274 36 3 McDowell 39 1 4 1 1 23 576 271 260 45 10 Rowan 119 5 10 15 89 1,325 41 1 81 1 103 30 Rutherford 83 2 1 1 14 56 1,060 450 496 1 14 22 Vance 92 2 2 34 54 1,315 656 593 66 5 Watauga 37 2 3 1 31 586 279 269 38 4 Wilson 65 2 6 15 42 841 367 421 53 0 NORTH DAKOTA Metropolitan Counties Burleigh 11 0 2 0 9 126 41 71 14 2 Cass 14 0 1 0 13 233 55 154 24 0 Grand Forks 5 0 2 0 3 89 20 59 10 0 Morton 7 1 4 0 2 93 11 77 5 0 OHIO Metropolitan Counties Allen 49 0 16 14 19 1,385 175 1,169 41 3 Belmont 29 0 10 4 15 409 101 264 44 6 Brown 16 0 6 4 6 515 145 331 39 7 Butler 86 0 12 10 64 1,109 330 700 79 21 Carroll 5 0 1 1 3 276 95 164 17 2 Clark 74 3 15 26 30 2,104 574 1,385 145 1 1 Clermont 85 0 63 5 17 1,652 451 1,097 104 38 Delaware 46 1 19 9 17 1,227 451 664 112 6 Erie 35 0 9 4 22 397 136 238 23 2 Fairfield 25 0 10 8 7 1,123 394 641 88 17 Franklin 274 13 43 121 97 4,100 912 2,624 564 30 Fulton 10 0 2 1 7 370 87 243 40 4 Greene 15 2 10 0 3 515 131 350 34 0 Hamilton 272 1 44 160 67 7,628 1,075 6,147 406 75 See footnotes at end of table. OFFENSES REPORTED 203 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 OHIO— Continued Metropolitan Counties — Continued Jefferson 54 1 3 18 32 315 76 209 30 4 Lake 22 0 1 9 12 685 99 551 35 6 Lawrence 17 0 0 0 17 199 61 1 18 20 3 Licking 26 0 4 4 18 765 178 524 63 9 Lorain 55 0 17 13 25 1,061 544 469 48 30 Mahoning 21 0 1 1 1 9 223 86 120 17 2 Morrow 7 0 1 1 5 407 195 161 51 0 Pickaway 30 0 6 6 18 736 360 338 38 16 Preble 38 0 1 1 3 24 425 149 251 25 2 Richland 30 0 10 7 13 1,294 405 829 60 7 Stark 120 2 18 63 37 3,011 860 1,937 214 32 Summit 58 0 18 25 15 1,248 277 899 72 3 Trumbull 21 0 2 5 14 530 201 285 44 2 ^Vai 1 e n 1 9 2 1 1 2 4 1 310 312 935 63 Washington 24 1 18 2 3 519 169 313 37 14 Wood 17 0 4 1 12 651 167 448 36 4 Nonmetropolitan Counties Athens 14 0 2 4 8 43 32 2 9 1 Auglaize 4 0 1 0 3 86 33 48 5 0 Coshocton 1 0 0 0 1 605 54 525 26 0 Darke 28 4 9 1 14 321 123 183 15 3 Gallia 53 3 8 1 1 31 860 366 434 60 10 Highland 29 0 0 0 29 362 169 173 20 1 Huron 12 0 1 1 10 372 134 212 26 1 Logan 46 1 4 1 40 351 101 220 30 1 Marion 22 0 2 12 8 1,114 246 817 51 3 Muskingum 23 0 1 1 9 3 1,347 373 860 1 14 3 Perry 13 0 5 0 8 392 131 21 1 50 3 Putnam 6 2 1 0 3 156 53 100 3 4 Shelby 5 0 0 2 3 175 40 126 9 0 Wayne 30 0 7 3 20 612 225 366 21 9 Will l a m s 9 o ^ o 4 342 1 14 2 1 8 10 4 OKLAHOMA Metropolitan Counties Canadian 14 1 1 0 12 99 36 44 19 7 Cleveland 53 0 17 1 35 268 125 123 20 7 Comanche 79 0 3 2 74 358 104 209 45 5 Creek 1 12 2 7 6 97 677 265 349 63 1 1 Grady 58 1 7 0 50 318 102 193 23 0 Le Flore 47 2 1 43 126 57 51 18 1 Lincoln 63 1 4 0 58 217 90 99 28 4 Logan 29 0 3 0 26 264 126 133 5 3 McClain 41 0 8 0 33 184 78 78 28 3 Oklahoma 39 1 0 3 35 245 118 106 21 0 Okmulgee 14 0 2 11 195 67 99 29 2 Osage 41 3 0 15 23 354 161 152 41 5 Pawnee 68 1 5 0 62 230 85 124 21 3 Rogers 8 0 0 7 394 142 209 43 0 Sequoyah 61 2 1 0 58 239 113 115 11 2 Tulsa 252 3 18 20 211 1,423 325 954 144 18 Wagoner 42 2 7 0 33 417 154 183 80 6 Nonmetropolitan Counties Cherokee 101 2 8 1 90 271 110 133 28 3 Delaware 86 1 6 0 79 375 177 162 36 7 Mayes 35 1 0 3 31 331 127 168 36 0 Pottawatomie 55 2 9 6 38 466 182 236 48 14 See footnotes at end of table. 204 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' OREGON Metropolitan Counties Clackamas 258 3 51 97 107 7,565 1,208 5,446 911 21 Deschutes 2 1 0 2 6 1 3 900 233 579 88 7 Jackson 244 1 16 10 217 1,481 336 1,043 102 1 1 Lane 162 1 24 20 117 1,743 618 909 216 6 Marion 158 2 16 27 113 4,768 938 3,070 760 9 Multnomah 52 0 8 10 34 1,091 136 840 115 1 Polk 28 0 7 1 20 424 1 17 252 55 1 Washington 187 0 40 43 104 4,929 959 3,461 509 24 Yamhill 54 0 9 5 40 442 131 247 64 6 Nonmetropolitan Counties Douglas 30 2 7 3 18 1,355 335 916 104 5 Josephine 43 3 13 15 12 945 236 563 146 3 Klamath 82 0 20 8 54 1,058 308 680 70 12 Linn 16 2 3 9 2 1,699 450 1,108 141 1 1 PENNSYLVANIA Metropolitan Counties Allegheny 11 0 0 1 10 2 0 0 2 0 Allegheny County Police Department 153 0 38 72 43 563 239 304 20 74 Beaver 1 1 0 0 0 11 4 1 3 0 1 Centre 0 0 0 0 0 1 0 1 0 0 Cumberland 0 0 0 0 0 1 0 1 0 0 Lancaster 2 0 0 0 2 0 0 0 0 0 York 6 0 0 0 6 0 0 0 0 0 SOUTH CAROLINA \ T * « 1 n\ M/i 1 i t ' 1 11 f^niintipc ivit 11 11 UUiUoU l^UUULlca Aiken 360 5 62 69 224 2,735 874 1,567 294 10 Anderson 864 3 50 98 713 5,900 1,609 3,804 487 31 Berkeley 552 9 46 82 415 2,592 795 1,483 314 12 Calhoun 98 0 2 6 90 304 81 189 34 1 Charleston 993 6 36 123 828 3,441 947 2,034 460 25 Darlington 598 6 26 36 530 2,293 876 1,239 178 14 Dorchester 362 0 25 42 295 1,544 517 861 166 12 Edgefield 33 0 5 4 24 351 90 237 24 0 Fairfield 258 1 10 1 1 236 911 157 710 44 12 Florence 603 6 30 99 468 3,431 961 2,229 241 6 Greenville 1,781 18 97 274 1,392 9,535 2,777 5,953 805 50 Horry 0 0 0 0 0 5 0 5 0 0 Horry County Police Department 1,019 8 81 111 819 7,300 1,659 4,924 717 14 Kershaw 187 1 9 12 165 1,126 346 652 128 1 1 Laurens 357 2 10 26 319 1,674 524 1,033 117 8 Lexington 741 1 1 46 134 550 4,609 1,325 2,734 550 12 Pickens 125 1 29 25 70 1,091 456 520 115 2 Richland 2,040 9 123 426 1,482 10,128 2,075 6,963 1,090 26 Saluda 73 0 3 3 67 168 60 100 8 2 Spartanburg 1,010 12 73 174 751 6,537 1,721 4,223 593 10 Sumter 525 7 20 62 436 2,665 1,019 1,326 320 33 York 955 4 42 47 862 2,978 672 2,064 242 24 Nonmetropolitan Counties Beaufort 806 3 53 150 600 4,762 1,360 3,070 332 29 Cherokee 207 2 12 20 173 1,522 366 1,064 92 4 Chester 156 1 9 25 121 995 253 684 58 4 Chesterfield 177 2 5 21 149 828 305 461 62 12 Clarendon 129 2 7 16 104 253 110 119 24 3 Colleton 342 5 9 39 289 1,066 319 629 1 18 29 Georgetown 247 0 17 23 207 1,336 387 849 100 10 See footnotes at end of table. OFFENSES REPORTED 205 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 SOUTH CAROLINA— Continued Nonmetropolitan Counties — Continued Greenwood 7 _ 1 7 1 / i i 1 1 7 A 1 -04 1,7UZ 70=; i ,uy4 1 1 3 1 1 7 7 Lancaster 233 2 7C 27 24 182 1 ,890 62 S 1,172 90 1 4 Oconee 248 4 22 1 6 206 1,477 7 14 84 1 1 22 9 Orangeburg (-.20 i i 14 20 O 1 94 492 3,143 1,028 1,769 346 6 Williamsburg 1 1 8 2 2 25 89 400 190 143 67 5 C>\J V. 1x1 UA r\Vj 1 A Metropolitan Counties McCook 4 0 0 0 4 36 3 29 4 0 Meade 56 2 21 0 33 206 57 129 20 0 Minnehaha 27 0 9 1 17 269 1 13 126 30 2 Pennington 80 1 36 2 41 1,210 102 1,071 37 4 Turner 5 0 0 0 5 39 12 25 2 0 Union 2 0 1 0 1 23 7 14 2 0 TENNESSEE Metropolitan Counties Anderson 111 2 6 12 91 1,011 374 555 82 10 Blount 311 4 53 5 249 1,595 521 906 168 13 Bradley 206 2 13 6 185 1,124 334 680 110 8 Cannon 30 0 0 3 27 118 50 48 20 0 Carter 102 3 4 2 93 764 263 421 80 20 Cheatham 79 0 6 4 69 467 117 286 64 2 Chester 13 0 1 2 10 141 58 68 15 0 Dickson 119 2 33 3 81 613 165 388 60 1 1 Fayette 98 0 3 13 82 660 265 328 67 4 Grainger 51 1 3 2 45 278 71 192 15 1 Hamblen 117 5 3 12 97 711 240 410 61 1 1 Hamilton 352 5 16 21 310 1,934 507 1,278 149 6 Harts ville-Trousdale 22 0 0 3 19 155 81 69 5 0 Hawkins 67 3 6 4 54 843 308 466 69 3 Hickman 92 4 4 7 77 481 160 298 23 17 Jefferson 105 0 1 1 4 90 834 277 454 103 12 Knox 603 6 32 S3 482 5,893 1,496 4,009 388 43 Loudon 65 0 2 6 57 481 107 337 37 3 Macon 38 1 2 2 33 1 17 22 85 10 4 Madison 126 0 19 9 98 880 287 509 84 10 Montgomery 136 0 3 7 126 619 187 386 46 4 Robertson 88 2 13 2 71 452 131 264 57 3 Rutherford 197 0 2(1 5 172 1,112 342 658 112 12 Sequatchie 38 0 4 0 34 159 45 85 29 2 Shelby 338 5 33 60 240 3,162 1,132 1,723 307 17 Shelby County Police Department 0 0 0 0 0 51 3 45 3 0 Smith 46 2 1 0 43 101 33 50 18 4 Sullivan 349 3 35 17 294 1,888 596 1,139 153 32 Sumner 139 1 14 7 117 679 206 413 60 8 Tipton 184 3 10 6 165 749 299 369 81 5 Unicoi 19 0 0 2 17 204 46 145 13 3 Union 35 0 3 31 302 125 151 26 7 Washington 145 0 8 9 128 1,013 387 520 106 14 Williamson 52 1 4 8 39 631 139 444 48 4 Wilson 162 0 3 2 157 1,011 375 536 100 5 Nonmetropolitan Counties Campbell 137 1 4 1 131 671 242 380 49 4 Claiborne 1 14 0 4 4 106 542 229 272 41 13 Cocke 87 2 3 6 76 762 378 254 130 8 Cumberland 72 1 1 3 67 842 327 436 79 4 Greene 237 1 7 12 217 1,220 511 582 127 7 See footnotes at end of table. 206 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' TENNESSEE — Continued Nonmetropolitan Counties — Continued Lawrence 126 0 4 1 121 653 326 292 35 3 Maury 1 19 4 15 2 98 723 194 467 62 7 McMinn 128 2 6 g 112 803 296 415 92 2 Monroe 222 2 4 6 210 716 218 416 82 32 Putnam 70 1 6 7 56 693 137 498 58 1 Roane 91 0 1 7 83 904 337 475 92 10 Sevier 75 1 15 2 57 1,456 592 759 105 1 Warren 41 1 0 4 36 444 139 236 69 3 TEXAS Metropolitan LOunties Aransas 32 0 0 2 30 663 205 440 18 1 Archer g 0 0 1 7 87 33 51 3 0 Armstrong 3 0 2 0 1 39 13 21 5 0 Atascosa 25 2 0 3 20 331 152 158 21 3 Austin 35 0 9 0 26 189 60 104 25 0 Bandera 14 1 4 1 8 491 144 331 16 5 Bastrop 196 4 3 12 177 1,180 624 483 73 7 Bell 59 2 27 5 25 887 291 522 74 6 Bexar 478 12 52 48 366 5,140 1,419 3,343 378 134 Bowie 103 1 6 5 91 572 173 326 73 2 Brazoria 104 4 20 21 59 1,511 633 750 128 5 Brazos 36 2 8 3 23 434 142 264 28 4 Burleson 39 0 6 2 31 134 77 50 7 3 Caldwell 49 1 3 3 42 194 91 98 5 1 Calhoun 14 0 0 0 14 196 44 144 8 7 Callahan 6 0 1 1 4 57 28 25 4 1 Cameron 301 1 35 20 245 1,735 726 864 145 26 Carson 6 0 0 0 6 0 0 0 0 0 Chambers 72 0 1 5 66 506 185 296 25 9 Clay 12 0 2 1 9 219 71 128 20 3 Collin 91 4 17 4 66 718 239 398 81 2 Comal 129 0 21 3 105 859 289 525 45 5 Coryell 21 0 1 1 19 122 41 66 15 5 Crosby 13 0 0 0 13 27 14 8 5 0 Dallas 91 0 5 6 80 383 152 204 27 9 Delta 21 0 0 1 20 136 51 78 7 2 Denton 74 2 15 3 54 786 245 436 105 19 Ector 139 3 7 12 117 1,196 260 854 82 5 Ellis 111 0 13 13 85 1,315 537 665 1 13 8 El Paso 262 0 34 30 198 1,348 336 857 155 1 1 Fort Bend 587 12 38 70 467 3,205 1,113 1,840 252 57 Galveston 162 1 25 25 111 937 314 507 116 1 1 Goliad 4 0 0 0 4 63 18 44 1 0 Grayson 44 1 11 31 933 307 555 71 4 Gregg 73 1 9 11 52 823 206 546 71 6 Guadalupe 78 2 10 2 64 967 312 590 65 1 Hardin 30 0 2 2 26 408 164 188 56 3 Harris 6,569 47 344 1,807 4,371 37,393 9,455 23,292 4,646 543 Hays 75 1 7 6 61 1,017 305 598 114 0 Hidalgo 1,117 25 93 192 807 6,371 2,429 3,442 500 Hunt 72 4 1 11 56 975 404 484 87 3 Irion 1 0 0 0 1 15 7 8 0 0 lefferson 41 0 7 4 30 550 190 298 62 3 lohnson 126 1 2 4 119 1,407 476 747 184 22 tones 13 0 0 5 8 72 43 24 5 0 Kaufman 314 2 17 13 282 1,320 475 695 150 19 Kendall 25 0 1 1 23 139 42 91 6 0 Lampasas 2 1 0 0 1 84 42 32 10 0 Liberty 86 4 1 11 70 1,068 407 513 148 16 See footnotes at end of table. OFFENSES REPORTED 207 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 TEXAS— Continued Metropolitan Counties — Continued Lubbock 83 2 13 3 65 807 323 413 71 5 McLennan 95 1 29 5 60 848 324 428 96 9 Medina 52 4 10 3 35 356 150 178 28 0 Midland 49 0 2 0 47 550 150 355 45 1 Montgomery 850 5 59 137 649 6,999 1,808 4,658 533 39 Nueces 55 1 10 11 33 341 152 162 27 0 Orange 150 4 6 9 13 1 900 306 47 1 1 23 4 Parker 57 0 5 51 1,075 433 543 99 0 Potter 35 0 3 4 28 250 63 175 12 2 Randall 45 0 6 3 36 372 131 200 41 2 Robertson 20 0 0 0 20 1 10 63 40 7 1 Rockwall 60 0 3 1 56 279 101 140 38 1 Rusk 121 2 13 4 102 717 259 389 69 7 San Jacinto 54 2 4 5 43 589 272 284 33 6 San Patricio 32 3 0 2 27 349 98 226 25 2 Smith 461 7 39 25 390 1,863 646 1,042 175 42 Tarrant 129 0 29 22 78 973 330 567 76 1 Taylor 12 0 0 0 12 133 60 59 14 0 Tom Green 16 1 1 0 14 262 69 176 17 4 Travis 415 7 49 24 335 4,051 1,203 2,578 270 24 Upshur 43 0 2 1 40 432 191 188 53 4 Victoria 97 20 24 1 52 598 172 381 45 4 Waller 33 1 6 5 21 300 120 138 42 1 Webb 48 2 5 6 35 346 168 150 28 2 Wichita 26 1 I 2 22 179 83 80 16 5 Williamson 209 2 36 12 159 2,005 478 1,420 107 16 Wilson 39 0 4 1 34 238 95 119 24 1 Wise 14/ 0 1 / 3 1 27 498 198 290 1 0 0 Nonmetropolitan Counties Anderson 65 1 8 1 55 539 249 262 28 0 Angelina 233 2 6 10 215 872 41 1 391 70 0 Cherokee 88 0 12 0 76 458 204 213 41 4 Harrison 90 2 1 8 79 911 416 440 55 6 Henderson 225 3 17 5 200 1,417 663 605 149 5 Hood 60 0 1 2 57 927 282 576 69 5 Jasper 59 0 5 53 424 144 272 8 0 Maverick 99 2 3 5 89 567 178 365 24 3 Nacogdoches 71 1 3 3 64 491 207 250 34 2 Polk 37 2 2 2 31 756 308 381 67 5 Starr 83 9 g 7 59 452 228 181 43 2 Van Zandt 136 4 0 8 124 982 426 438 1 18 7 Walker 68 0 8 4 56 494 183 262 49 0 Wood 43 0 5 0 38 525 200 324 1 7 UTAH Metropolitan Counties Davis 21 1 7 0 13 170 45 109 16 2 Morgan 4 0 1 0 3 72 17 48 7 0 Salt Lake 820 12 162 122 524 13,772 2,247 10,409 1,116 39 Summit 16 1 9 3 3 643 97 521 25 0 Tooele 12 0 1 1 10 239 57 175 7 4 Utah 49 1 9 2 37 509 211 263 35 8 Washington 66 0 6 1 59 468 99 334 35 1 Weber 37 1 5 4 27 1,183 221 892 70 5 See footnotes at end of table. 208 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003 — Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' VERMONT Metropolitan Counties Chittenden 0 0 0 0 0 0 0 0 0 0 Franklin 9 0 0 0 9 38 15 23 0 0 Grand Isle 1 0 0 0 1 40 15 24 1 0 VIRGINIA lVI*if lYinril It a 11 i "in i n t i pc Albemarle County Police Department 129 5 35 18 71 1,783 247 1,448 88 14 Amelia 5 1 1 1 2 121 31 83 7 1 Amherst 23 1 8 5 9 338 53 255 30 5 Appomattox 9 0 5 2 2 145 31 108 6 1 Arlington County Police Department 441 3 30 206 202 4,810 373 3,842 595 8 Bedford 47 0 6 3 38 692 118 525 49 8 Botetourt 36 2 g 3 23 321 55 251 15 1 Charles City 9 0 0 2 7 36 16 17 3 0 Chesterfield County Police Department 537 12 53 192 280 7,638 1,352 5,839 447 83 Clarke 36 1 2 0 33 182 17 149 16 0 Craig 3 0 0 0 3 11 6 5 0 0 Cumberland 13 0 3 0 10 64 20 42 2 2 Dinwiddie 12 2 3 3 4 597 53 526 18 2 Fairfax County Police Department 643 6 54 351 232 16,585 457 14,684 1,444 119 Fauquier 76 1 12 12 51 667 109 513 45 21 Fluvanna 26 0 8 3 15 203 36 153 14 3 Franklin 56 1 11 9 35 498 79 369 50 1 Frederick 72 2 10 15 45 1,314 245 994 75 6 Giles 20 0 0 0 20 4 3 1 0 0 Gloucester 36 0 8 1 27 465 34 409 22 12 Greene 16 4 3 0 9 80 12 60 8 3 Hanover 48 1 6 13 28 1,104 87 937 80 12 Henrico County Police Department 651 20 32 330 269 10,379 1,554 8,092 733 117 James City County Police Department 77 1 18 19 39 964 141 745 78 6 King William 6 1 2 0 3 54 13 37 4 0 Loudoun 216 0 23 39 154 3,065 335 2,548 182 51 Mathews 2 0 0 0 2 88 19 61 8 1 Montgomery 32 0 8 3 21 542 152 350 40 5 Nelson 16 0 5 10 187 31 131 25 0 New Kent 16 0 0 ] 15 196 26 165 5 1 Powhatan 9 0 1 3 5 217 40 155 22 1 Prince George County Police Department 43 1 6 14 22 472 68 386 18 4 Prince William County Police Department 539 9 31 197 302 7,220 965 5,476 779 80 Pulaski 31 0 5 4 22 449 75 366 8 4 Roanoke County Police Department 2(11 1 13 16 171 1,229 247 885 97 15 Rockingham 31 0 15 1 15 352 126 207 19 1 Scott 32 2 4 2 24 343 117 206 20 3 Spotsylvania 168 3 20 23 122 1,964 203 1,675 86 10 Stafford 134 6 28 28 72 1,723 206 1,370 147 18 Surry 14 0 2 11 92 29 62 1 0 Sussex 18 0 2 3 13 157 32 115 10 0 Warren 12 0 7 3 2 258 40 197 21 4 Washington 57 2 14 40 935 149 733 53 4 York 70 0 11 16 43 1,043 132 868 43 19 Nonmetropolitan Counties Accomack 56 1 12 20 23 415 89 282 44 0 Augusta 59 3 16 4 36 889 164 673 52 3 Buchanan 45 2 4 5 34 613 209 352 52 7 Carroll 46 1 2 3 40 409 145 228 36 5 Halifax 32 4 5 7 16 375 97 264 14 3 Henry 219 5 21 37 156 1,545 334 1,112 99 10 Tazewell 51 2 9 4 36 674 203 430 41 5 Wise 81 2 11 0 68 400 125 243 32 7 See footnotes at end of table. OFFENSES REPORTED 209 Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 WASHINGTON Metropolitan Counties Asotin 17 0 2 1 14 279 66 200 13 2 Benton 86 1 7 6 72 755 249 462 44 1 1 Chelan 37 4 15 7 1 1 940 163 748 29 2 Clark 264 2 60 55 147 5,571 1,205 3,683 683 43 Cowlitz 75 0 8 10 57 1,119 376 593 150 9 Douglas 35 o 9 25 596 194 368 ^4 3 Franklin 9 1 1 0 7 189 70 100 19 1 King 713 15 1 1 1 203 384 9,515 2,489 5,147 1,879 245 Kitsap 476 3 85 34 354 3,997 1 ,082 2,547 368 25 Pierce 1,130 7 86 1 85 852 10,826 2,587 6,596 1,643 60 Skagit V4 i i i -> 4u Z,UU1 « ~i OJZ 1 1 Q1 i ,iy i 1 jo Skamania 1 J n u u ] [ 3 J ' OO ZJ J 1 O 1 Snohomish 0 1 4 j i >a 1 JO j oi > 1 fifvl 1 ,OOJ J,JJ 1 1 ^KQ 1 ,JJO OO Spokane -1 ana 3 30 72 204 4,866 1 ,120 3,347 399 37 Thurston V7Q 1 /y in ~i i -4 ~>~> i i- 1 Z,o41 _4o in Whatcom 1 52 1 58 1 1 82 1,819 8 1 1 825 1 83 1 4 Yakima 1 12 i 4 38 1 f-. j4 2,995 1,269 1,361 365 65 Nonmetropolitan Counties Clallam 50 0 9 2 39 853 245 562 46 10 Grant 7 1 ] 12 s 1 247 414 7 1 7 1 16 1 ^ Grays Harbor 40 0 3 4 33 514 208 259 47 9 Lewis 68 0 12 6 50 912 333 496 83 3 Mason _ A 1 1, /UZ OU4 V 1 _ 1 on 1 1 Stevens 68 6 1 2 3 1 7 4 / 683 235 395 53 2 WEST VIRGINIA Metropolitan Counties Boone 7 0 0 0 7 58 18 33 7 2 Cabell 12 1 0 9 2 918 88 780 50 2 Clay 2 U 0 0 2 c j J 4 0 0 Hampshire ii Zj (l U u u _j oo j_ 1Q _v _ Hancock 1 M 1 U u ii u _ o O J — ^ (i _w 1 1 1 4 u Mineral 1 1 1 0 3 7 5_ 23 26 3 4 Monongalia 49 1 1 1 3 32 487 i i i 1 1 l 337 39 3 Morgan 1 c I J 0 3 \ 1 1 1 1 3 28 73 1 2 1 Ohio 38 U 0 3 35 CM 84 32 4 1 1 1 0 Pleasants 0 U 0 0 ii U i 1 J 0 0 Preston 12 0 0 0 12 91 34 48 9 2 Putnam 64 0 8 3 53 831 227 542 62 10 Wood 244 0 6 2 236 479 135 304 40 13 Nonmetropolitan Counties Fayette 53 2 5 2 44 338 134 180 24 0 Logan 2 0 0 0 2 48 12 29 7 1 Marion 11 0 3 7 189 42 128 19 2 Mercer 124 2 4 17 101 823 349 412 62 20 WISCONSIN Metropolitan Counties Brown 59 0 g 6 45 1,410 282 1,046 82 Calumet 4 0 1 0 3 164 27 128 9 Chippewa 17 0 7 0 10 320 72 213 35 Columbia 13 1 2 1 9 298 71 205 22 Douglas 7 0 3 0 4 280 131 131 18 Eau Claire 10 0 5 0 5 311 71 226 14 Fond du Lac 14 0 2 0 12 381 102 252 27 Kenosha 43 1 6 5 31 723 147 528 48 Kewaunee 6 0 3 1 2 312 15 293 4 See footnotes at end of table. 210 CRIME IN THE UNITED STATES Table 10 Offenses Known to Law Enforcement by Metropolitan and Nonmetropolitan Counties, 1 2003— Continued [The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle County by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 2 WISCONSIN— Continued Metropolitan Counties — Continued La Crosse 9 1 1 0 7 175 37 129 9 Marathon 31 0 0 5 26 652 236 38.8 28 Oconto 2(1 0 0 3 17 480 238 208 34 Outagamie 12 1 3 3 5 441 81 334 26 Ozaukee 14 0 7 1 6 233 34 18.8 1 1 Pierce 12 0 2 1 9 261 91 151 19 Racine 13 2 0 6 5 695 87 575 33 Rock 46 0 8 3 35 479 160 296 23 Sheboygan 29 0 4 24 606 92 483 31 2S o 4 o 2 [ 471 140 293 38 Washington 26 0 g 4 14 579 98 447 34 Waukesha 51 0 3 47 683 94 552 37 Winnebago 1 7 0 4 0 1 5 383 IJ 29 1 1 / Nonmetropolitan Counties Barron 60 0 5 2 53 443 148 269 26 Clark 10 2 2 2 4 168 49 102 17 Dodge 23 0 5 3 15 286 108 158 20 Dunn 18 0 6 2 10 253 85 155 13 Grant 51 1 1 48 180 74 85 21 Jefferson 32 0 10 0 22 297 55 225 17 Manitowoc 20 1 8 0 11 313 73 209 31 Polk 15 0 7 0 8 321 162 136 23 Portage 10 1 4 0 5 341 97 226 18 Sauk 18 0 1 2 15 706 124 556 26 Shawano 15 1 4 2 8 566 189 357 20 Walworth 18 3 5 3 7 368 87 252 29 Waupaca 8 1 1 4 2 400 127 242 31 Wood 4 0 0 0 4 292 85 180 27 WYOMING Metropolitan Counties Laramie 68 1 11 5 51 505 113 361 31 Natrona 12 0 0 2 10 492 161 282 49 1 Data provided for nonmetropolitan counties are inclusive of only those counties that are 25,000 and over in population. 2 If the FBI does not receive 12 months of arson data from either the agency or the state, no arson will be shown. 'Due to changes in reporting practices, annexations, and/or incomplete data, figures are not comparable to previous years' data. 4 Limited data for 2003 were available for Illinois and Kentucky. NOTE: Tables 10 and 1 1 have been restructured. See Appendix I, Table Methodology. OFFENSES REPORTED 211 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' ALABAMA Alabama Department of Mental Health l 0 0 ALASKA Alaska State Troopers 890 15 178 ARIZONA Arizona Department of Public Safety 6 0 0 Arizona State Capitol l 0 0 CALIFORNIA Agnews Developmental Center 0 0 0 Atascadero State Hospital 22 0 0 California State Fair 32 0 0 Department of Parks and Recreation: Angeles 0 0 0 Bay Area 0 0 0 Calaveras County 0 0 0 Capital 0 0 0 Channel Coast 2 0 0 Colorado 0 0 0 Four Rivers District 0 0 0 Gold Fields District 2 0 0 Hollister Hills 0 0 0 Hungry Valley l 0 0 Inland Empire 0 0 0 Marin County l 0 0 Mendocino Headquarters 0 0 0 Monterey County l 0 1 North Coast Redwoods 2 0 0 Northern Buttes 2 0 2 Oceano Dunes 0 0 0 Octillo Wells 2 0 0 Orange Coast l 0 0 Russian River l 0 0 San Diego Coast 8 0 0 San Joaquin 0 0 0 San Luis Obispo Coast 6 0 0 San Simeon 0 0 0 Santa Cruz Mountains l 0 1 Sierra 0 0 0 Silverado 0 0 0 Twin Cities 0 0 0 Fairview Developmental Center 14 0 0 Highway Patrol: Alameda County 0 0 0 Alpine County 0 0 0 Amador County 0 0 0 Butte County l 0 1 Calaveras County 0 0 0 Colusa County 0 0 0 Contra Costa County 0 0 0 Del Norte County 0 0 0 El Dorado County l 0 0 Fresno County 0 0 0 Glenn County 0 0 0 Humboldt County l 0 0 Imperial County 0 0 0 Inyo County 0 0 0 Kern County 0 0 0 Kings County 0 0 0 See footnotes at end of table. 212 CRIME IN THE UNITED STATES 0 1 0 0 0 0 23 674 4,840 1,498 2,773 569 67 0 6 1 1 0 10 1 0 0 1 54 13 32 9 0 0 0 0 0 0 0 0 0 22 2 0 2 0 0 4 28 1 10 4 102 4 0 0 0 9 0 9 0 0 0 0 6 0 6 0 3 0 0 9 1 8 0 1 0 0 8 6 2 0 1 0 2 55 7 48 0 0 0 0 18 6 12 0 0 0 0 28 16 10 2 0 0 2 158 1 1 145 2 5 0 0 2 0 1 1 0 0 1 6 0 2 4 1 0 0 16 0 16 0 0 0 1 15 8 7 0 0 0 0 65 1 63 1 0 0 0 40 16 23 1 0 0 2 44 8 36 0 0 0 0 20 5 15 0 0 0 0 34 0 25 9 0 1 1 7 0 0 7 2 1 0 70 19 46 5 0 0 1 77 1 72 4 0 0 8 92 33 55 4 0 0 0 4 2 2 0 0 0 6 72 2 68 2 2 0 0 8 0 8 0 0 0 0 57 2 55 0 0 0 () 8 3 5 0 0 0 0 50 0 48 2 1 0 0 2 0 1 1 0 0 14 15 0 15 0 1 0 0 255 0 23 232 0 0 0 2 0 0 2 0 0 0 75 0 0 75 0 0 0 653 0 101 552 0 0 0 145 0 28 117 0 0 0 30 0 1 29 0 0 0 1,247 4 69 1,174 0 0 0 95 0 0 95 0 0 1 41 1 0 72 339 0 0 0 154 3 5 146 0 0 0 52 0 0 52 0 1 0 251 0 15 236 0 0 0 138 0 14 124 0 0 0 30 0 8 22 0 0 0 155 0 27 128 0 0 0 239 0 25 214 0 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle State agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' CALIFORNIA— Continued Highway Patrol — Continued: Lake County 0 0 0 0 0 95 0 27 68 0 Lassen County l 0 1 0 0 49 0 4 45 0 Los Angeles County 50 0 1 3 46 499 16 110 373 0 Madera County 0 0 0 0 0 449 0 74 375 0 Marin County 0 0 0 0 0 142 0 0 142 0 Mariposa County 0 0 0 0 0 31) 0 9 21 0 Mendocino County 5 0 0 0 5 94 1 23 70 0 Merced County 2 0 0 0 2 603 0 95 508 2 Modoc County 0 0 0 0 0 1 1 0 5 6 0 Mono County 0 0 0 0 0 3 0 1 2 0 Monterey County 0 0 0 0 0 252 0 2 250 0 Napa County 0 0 0 0 0 102 0 0 102 0 Nevada County 0 0 0 0 0 104 0 16 88 0 Orange County 18 0 0 3 15 53 6 16 31 0 Placer County 0 0 0 0 0 273 1 11 261 0 Plumas County 0 0 0 0 0 47 0 8 39 0 Riverside County 22 0 0 0 22 62 17 8 37 0 Sacramento County 6 0 0 1 5 7,081 7 706 6,368 0 San Benito County 0 0 0 0 0 36 0 0 36 0 San Bernardino County 3 0 0 1 2 294 4 3 287 0 San Diego County 1 1 0 0 0 11 133 2 53 78 0 San Francisco County 2 0 0 1 1 120 1 14 105 0 San Joaquin County 0 0 0 0 0 1,651 1 514 1,136 0 San Luis Obispo County 6 0 0 0 6 196 0 61 135 0 San Mateo County 0 0 0 0 0 34 0 16 18 0 Santa Barbara County 2 0 0 0 2 127 0 24 103 0 Santa Clara County 1 0 0 0 1 66 0 13 53 0 Santa Cruz County 0 0 0 0 0 429 0 I 15 314 0 Shasta County 1 0 0 0 1 251 0 45 206 0 Sierra County u n u u u rt I' n u U rt I' () Siskiyou County 0 0 0 0 0 22 0 1 21 0 Solano County 0 0 0 0 0 82 6 0 76 0 Stanislaus County 1 0 0 1 0 374 0 43 331 0 Sutter County 0 0 0 0 0 79 0 3 76 0 Tehama County 0 0 0 0 0 1 1 6 0 7 109 0 Trinity County 0 0 0 0 0 41 0 0 41 0 Tulare County -1 1 u (} (} 7 1 ,330 {) 384 946 (1 Tuolumne County 0 0 0 0 0 267 0 29 238 0 Ventura County 0 0 0 0 0 46 0 20 26 O 50 36 4DJ i nil J JO 1 ,UJO 1 Zj New Castle County If, 1 /04 1 1 18 376 J,-jZl / Zj A 1\ A 4o4 1 Sussex County 609 5 51 45 508 2,814 877 1 ,776 1 61 9 Metro Transit Police 220 1 1 105 1 1 3 1 ,072 0 7 1 8 354 0 National Zoological Park 1 0 0 0 1 25 1 24 0 0 CT J 1 1 j 1 1 k V Capitol Police 2 0 0 0 2 22 c J 1 7 0 0 Department of Environmental Protection, Division of Law Enforcement: Alachua County ll 0 0 0 U 1 1 1 U 0 0 Bay County 0 0 0 0 0 7 6 1 0 0 Brevard County 0 0 0 0 0 3 1 2 0 0 Broward County 0 0 0 0 u 9 2 7 0 0 Charlotte County 0 0 0 0 u 0 0 U 0 0 Citrus County 0 0 0 0 0 0 0 0 0 0 Collier County i) u 0 0 n 7 _ J u U Columbia County M 1' 0 0 0 U 0 u 0 0 Dixie County 0 0 0 0 0 0 0 0 0 0 Duval County 0 0 0 0 0 5 2 3 0 0 Escambia County n ii n u 0 0 n u 1 j u Q Flagler County u u 0 0 u i 1 u u n U Franklin County 0 0 0 0 0 0 0 0 0 0 Gadsden County ii u 0 0 n ii U ii u u Gilchrist County ii u 0 0 j\ n V) U ii u u Ouli county 0 0 0 0 0 1 1 0 0 0 Hamilton County 0 0 0 0 0 0 0 0 0 0 Highlands County u u 0 0 U u U II U U Hillsborough County u u 0 0 (i u i u i 1 U n u Indian River County 0 0 0 0 0 8 2 6 0 0 Jackson County ii u 0 0 u u U u u U Lafayette County ii 0 0 0 U 1 i 1 (i 0 0 Lake County 0 0 0 0 0 0 0 0 0 0 Lee County 0 0 0 0 u 7 i 4 3 0 0 Leon County u u 0 0 u i 1 1 u U u Levy County u u 0 0 n u n u u u n u Madison County 0 0 0 0 0 0 0 0 0 0 Manatee County ii u 0 0 u i 1 1 i ii u U Marion County II 0 0 0 U 1 0 1 0 0 Martin County u u 0 0 U o 1 4 _ u n Miami-Dade County ii u 0 0 n y> 7 1 1 n U U Monroe County 0 0 0 0 U 1 2 c J 7 0 0 Nassau County n u u 0 0 i 1 u u n u Okaloosa County 0 0 0 0 0 0 0 0 0 0 Okeechobee County 0 0 0 0 0 1 1 0 0 0 Orange County 0 0 0 0 0 1 0 0 0 Osceola County 0 0 0 0 0 0 0 0 0 0 Palm Beach County 0 0 0 0 0 1 1 0 0 0 Pasco County 0 0 0 0 0 0 0 0 0 0 Pinellas County 0 0 0 0 0 1 0 1 0 0 Polk County 0 0 0 0 0 0 0 0 0 0 Santa Rosa County 1 0 0 0 1 1 1 0 0 0 Sarasota County 0 0 0 0 0 4 2 2 0 0 Seminole County 0 0 0 0 0 1 0 0 0 St. Johns County 0 0 0 0 0 5 3 2 0 0 St. Lucie County 0 0 0 0 0 6 5 1 0 0 See footnotes at end of table. 214 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent Forcible A % £j tgl va ted Property Larceny- vchwlc State agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' FLORIDA— Continued Department of Environmental Protection, Division of Law Enforcement — Continued: Sumter County 0 0 0 0 0 2 2 0 0 0 Suwannee County 0 0 0 0 0 1 1 0 0 0 Volusia County 0 0 0 0 0 4 3 1 0 0 Wakulla County 0 0 0 0 0 1 1 0 0 0 Walton County 0 0 0 0 0 0 0 0 0 0 Department of Insurance: Broward County 0 0 0 0 0 0 0 0 0 0 Duval County 0 0 0 0 0 0 0 0 0 0 Escambia County 0 0 0 0 0 0 0 0 0 0 Hillsborough County 0 0 0 0 0 0 0 0 0 0 Lee County 0 0 0 0 0 0 0 0 0 0 Miami-Dade County 0 0 0 0 0 0 0 0 0 0 Orange County 0 0 0 0 0 0 0 0 0 0 Palm Beach County 0 0 0 0 0 0 0 0 0 0 Department of Law Enforcement: Duval County, Jacksonville l 1 0 0 0 0 0 0 0 0 Escambia County, Pensacola 0 0 0 0 0 0 0 0 0 0 Hillsborough County, Tampa l 0 0 0 1 0 0 0 0 0 Leon County, Tallahassee 6 2 3 0 1 2 0 0 2 0 Orange County, Orlando 0 0 0 0 0 0 0 0 0 0 Florida Game Commission: Alachua County 0 0 0 0 0 0 0 0 0 0 Baker County 0 0 0 0 0 0 0 0 0 0 Bay County 0 0 0 0 0 0 0 0 0 0 Bradford County 0 0 0 0 0 0 0 0 0 0 Brevard County 0 0 0 0 0 0 0 0 0 0 Broward County 0 0 0 0 0 0 0 0 0 0 Calhoun County 0 0 0 0 0 0 0 0 0 0 Charlotte County 0 0 0 0 0 0 0 0 0 0 Citrus County 0 0 0 0 0 0 0 0 0 0 Clay County 0 0 0 0 0 0 0 0 0 0 Collier County 0 0 0 0 0 0 0 0 0 0 Columbia County 0 0 0 0 0 0 0 0 0 0 DeSoto County 0 0 0 0 0 0 0 0 0 0 Dixie County 0 0 0 0 0 0 0 0 0 0 Duval County 0 0 0 0 0 0 0 0 0 0 Escambia County 0 0 0 0 0 0 0 0 0 0 Flagler County 0 0 0 0 0 0 0 0 0 0 Franklin County 0 0 0 0 0 0 0 0 0 0 Gadsden County 0 0 0 0 0 0 0 0 0 0 Gilchrist County 0 0 0 0 0 0 0 0 0 0 Glades County 0 0 0 0 0 0 0 0 0 0 Gulf County 0 0 0 0 0 0 0 0 0 0 Hamilton County 0 0 0 0 0 0 0 0 0 0 Hardee County 0 0 0 0 0 0 0 0 0 0 Hendry County 0 0 0 0 0 0 0 0 0 0 Hernando County 0 0 0 0 0 0 0 0 0 0 Highlands County 0 0 0 0 0 0 0 0 0 0 Hillsborough County 0 0 0 0 0 0 0 0 0 0 Holmes County 0 0 0 0 0 0 0 0 0 0 Indian River County 0 0 0 0 0 0 0 0 0 0 Jackson County 0 0 0 0 0 0 0 0 0 0 Jefferson County 0 0 0 0 0 0 0 0 0 0 Lafayette County 0 0 0 0 0 0 0 0 0 0 Lake County 0 0 0 0 0 0 0 0 0 0 Lee County 0 0 0 0 0 0 0 0 0 0 Leon County 0 0 0 0 0 0 0 0 0 0 Levy County 0 0 0 0 0 0 0 0 0 0 Liberty County 0 0 0 0 0 0 0 0 0 0 Madison County 0 0 0 0 0 0 0 0 0 0 Manatee County 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. OFFENSES REPORTED 215 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent Forcible A % £j tgl va ted Property Larceny- vchwlc State agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' FLORIDA— Continued Florida Game Commission — Continued: Marion County 0 0 0 0 0 0 0 0 0 0 Martin County 0 0 0 0 0 0 0 0 0 0 Miami-Dade County 0 0 0 0 0 0 0 0 0 0 Monroe County 0 0 0 0 0 0 0 0 0 0 Nassau County 0 0 0 0 0 0 0 0 0 0 Okaloosa County 0 0 0 0 0 0 0 0 0 0 Okeechobee County 0 0 0 0 0 0 0 0 0 0 Orange County 0 0 0 0 0 0 0 0 0 0 Osceola County 0 0 0 0 0 0 0 0 0 0 Palm Beach County 0 0 0 0 0 0 0 0 0 0 Pasco County 0 0 0 0 0 0 0 0 0 0 Pinellas County 0 0 0 0 0 0 0 0 0 0 Polk County 0 0 0 0 0 0 0 0 0 0 Putnam County 0 0 0 0 0 0 0 0 0 0 Santa Rosa County 0 0 0 0 0 0 0 0 0 0 Sarasota County 0 0 0 0 0 0 0 0 0 0 Seminole County 0 0 0 0 0 0 0 0 0 0 St. Johns County 0 0 0 0 0 0 0 0 0 0 St. Lucie County 0 0 0 0 0 0 0 0 0 0 Sumter County 0 0 0 0 0 0 0 0 0 0 Suwannee County 0 0 0 0 0 0 0 0 0 0 Taylor County 0 0 0 0 0 0 0 0 0 0 Union County 0 0 0 0 0 0 0 0 0 0 Volusia County 0 0 0 0 0 0 0 0 0 0 Wakulla County 0 0 0 0 0 0 0 0 0 0 Walton County 0 0 0 0 0 0 0 0 0 0 Washington County 0 0 0 0 0 0 0 0 0 0 Highway Patrol: Alachua County l 0 0 0 1 0 0 0 0 0 Baker County 0 0 0 0 0 0 0 0 0 0 Bay County 0 0 0 0 0 0 0 0 0 0 Bradford County 0 0 0 0 0 0 0 0 0 0 Brevard County l 0 0 0 1 1 0 1 0 0 Broward County 58 0 0 0 58 76 0 32 44 0 Calhoun County 0 0 0 0 0 0 0 0 0 0 Charlotte County l 0 0 0 1 0 0 0 0 0 Citrus County 0 0 0 0 0 0 0 0 0 0 Clay County 0 0 0 0 0 1 0 0 1 0 Collier County l 0 0 0 1 1 0 0 1 0 Columbia County 2 0 0 0 2 1 0 1 0 0 DeSoto County 0 0 0 0 0 0 0 0 0 0 Dixie County 0 0 0 0 0 0 0 0 0 0 Duval County 12 0 0 0 12 6 0 4 2 0 Escambia County 6 0 0 0 6 2 0 2 0 0 Flagler County 0 0 0 0 0 0 0 0 0 0 Franklin County 0 0 0 0 0 0 0 0 0 0 Gadsden County l 0 0 0 1 1 0 0 1 0 Gilchrist County 0 0 0 0 0 0 0 0 0 0 Glades County 0 0 0 0 0 0 0 0 0 0 Gulf County l 0 1 0 0 2 0 0 2 0 Hamilton County 0 0 0 0 0 1 0 1 0 0 Hardee County 0 0 0 0 0 0 0 0 0 0 Hendry County 0 0 0 0 0 0 0 0 0 0 Hernando County l 0 0 0 1 2 0 0 2 0 Highlands County 0 0 0 0 0 0 0 0 0 0 Hillsborough County 6 0 0 0 6 1 0 1 0 0 Holmes County l 0 0 0 1 1 0 1 0 0 Indian River County 2 0 0 0 2 0 0 0 0 0 Jackson County l 0 0 0 1 0 0 0 0 0 Jefferson County 0 0 0 0 0 0 0 0 0 0 Lafayette County 0 0 0 0 0 0 0 0 0 0 Lake County 0 0 0 0 0 1 0 1 0 0 See footnotes at end of table. 216 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent Forcible A % £j ra va ted Property Larceny- vchwlc Stale agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' FLORIDA— Continued Highway Patrol — Continued: Lee County 2 0 0 0 2 2 0 2 0 0 Leon County 1 0 0 0 1 3 0 1 2 0 Levy County 0 0 0 0 0 0 0 0 0 0 Liberty County 0 0 0 0 0 0 0 0 0 0 Madison County 0 0 0 0 0 0 0 0 0 0 Manatee County 5 0 0 1 4 1 0 1 0 0 Marion County 1 0 0 0 1 0 0 0 0 0 Martin County 1 0 0 0 1 0 0 0 0 0 Miami-Dade County 44 0 0 1 43 41 0 13 28 0 Monroe County 2 0 0 1 1 0 0 0 0 0 Nassau County 1 0 0 0 1 0 0 0 0 0 Okaloosa County 0 0 0 0 0 0 0 0 0 0 Okeechobee County 1 0 0 0 1 1 0 1 0 0 Orange County 1 1 0 0 0 11 5 0 3 2 0 Osceola County 4 0 0 1 3 6 0 6 0 0 Palm Beach County 39 0 1 1 37 31 0 25 (i 0 Pasco County 3 0 0 0 3 0 0 0 0 0 Pinellas County 4 0 0 0 4 0 0 0 0 0 Polk County 5 0 0 0 5 0 0 0 0 0 Putnam County 0 0 0 0 0 0 0 0 0 0 Santa Rosa County 2 u (} 0 2 0 0 u 0 (1 Sarasota County 4 0 0 0 4 1 0 0 1 0 Seminole County 1 0 0 0 1 1 0 0 1 0 St. Johns County 1 0 0 0 1 0 0 0 0 0 St. Lucie County 3 0 0 0 3 5 0 5 0 0 Sumter County 2 0 0 0 2 2 0 2 0 0 Suwannee County _ u u u _ u u U n u u Taylor County 0 0 0 0 0 0 0 0 0 0 Union County 0 0 0 0 0 0 0 0 0 0 Volusia County 1 0 0 0 1 0 0 0 0 0 Wakulla County 0 0 0 0 0 0 0 0 0 0 Walton County 0 0 0 0 0 0 0 0 0 0 Washington County 0 0 0 0 0 1 0 1 0 0 State Treasurer's Office, Division of Insurance Fraud 0 0 0 0 0 0 0 0 0 0 GEORGIA Capitol Police 1 0 0 1 0 77 1 74 2 0 Georgia Department of Public Safety 4 0 0 0 4 0 0 0 0 0 Georgia Public Safety Training Center 0 0 0 0 0 0 0 0 0 0 Georgia World Congress 10 0 1 3 6 426 27 388 11 0 Ports Authority, Savannah 0 0 0 0 0 9 0 3 6 0 IDAHO Alcohol Beverage Control 0 0 0 0 0 0 0 0 0 0 Bureau of Narcotics: Region 1 0 0 0 0 0 0 0 0 0 0 Region 2 0 0 0 0 0 0 0 0 0 0 Region 3 2 0 1 0 1 0 0 0 0 0 Region 4 0 0 0 0 0 0 0 0 0 0 Region 5 0 0 0 0 0 0 0 0 0 0 Region 6 0 0 0 0 0 0 0 0 0 0 State Police: Boise 3 0 0 0 3 1 0 1 0 0 Coeur d'Alene 1 0 0 0 1 1 0 0 1 0 Idaho Falls 0 0 0 0 0 2 0 2 0 0 Lewiston 0 0 0 0 0 0 0 0 0 0 Pocatello 0 0 0 0 0 0 0 0 0 0 Twin Falls 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. OFFENSES REPORTED 217 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' ILLINOIS 2 INDIANA Northern Indiana Commuter Transportation District 2 0 0 0 2 83 0 58 25 0 State Police: Adams County 6 0 0 2 4 8 1 4 3 0 Allen County 16 0 3 2 1 1 50 5 35 10 0 Bartholomew County 6 0 0 0 6 17 3 10 4 0 Benton County 2 0 0 0 2 3 1 2 0 0 Blackford County 0 0 0 0 0 1 0 1 0 0 Boone County 2 0 0 1 1 14 2 5 7 0 Brown County 1 0 0 0 1 7 1 5 1 0 Carroll County 6 0 1 1 4 8 0 7 1 0 Cass County 28 0 1 0 27 28 6 20 2 1 Clark County 15 0 2 1 12 77 1 1 42 24 0 Clay County 7 0 0 5 2 25 5 14 6 0 Clinton County 3 0 1 0 2 15 1 12 2 0 Crawford County 10 0 4 2 4 26 10 13 3 1 Daviess County 5 1 0 0 4 15 4 8 3 0 Dearborn County 22 0 2 1 19 80 9 50 21 1 Decatur County 4 0 1 0 3 20 2 15 3 0 De Kalb County 9 0 0 0 9 17 2 8 7 0 Delaware County 7 0 1 2 4 24 4 19 1 0 Dubois County 1 1 0 2 3 6 33 5 25 3 0 Elkhart County 22 0 0 4 IX 68 1 1 41 16 1 Fayette County 3 0 1 1 1 21 1 1 9 1 0 Floyd County 4 0 0 1 3 28 5 15 8 1 Fountain County 2 0 0 1 1 7 2 5 0 0 Franklin County 15 0 0 2 13 45 8 34 3 0 Fulton County 1 0 0 0 1 9 7 2 0 0 Gibson County 5 0 1 1 3 18 2 8 8 0 Grant County 3 0 0 2 1 6 1 5 0 0 Greene County 15 2 1 0 12 37 9 20 8 2 Hamilton County 12 0 0 0 12 12 2 7 3 0 Hancock County 3 0 0 1 2 7 1 5 1 0 Harrison County 15 0 3 4 8 62 18 25 19 0 Hendricks County 16 0 1 2 13 29 3 20 6 0 Henry County 6 0 0 2 4 18 1 15 2 0 Howard County 0 0 0 0 0 18 7 8 3 0 Huntington County 1 0 0 0 1 10 1 6 3 0 Jackson County 18 0 2 3 13 115 36 68 1 1 3 Jasper County 1 0 0 0 1 16 0 10 6 0 Jay County 2 0 1 0 1 9 4 5 0 0 Jefferson County 7 0 1 0 6 32 14 14 4 0 Jennings County 6 0 2 0 4 27 6 18 3 0 Johnson County 6 0 1 0 5 11 0 4 7 0 Knox County 5 0 0 1 4 29 4 21 4 0 Kosciusko County 9 0 0 2 7 24 2 19 3 0 Lagrange County 4 0 0 1 3 32 10 19 3 1 Lake County 49 2 1 2 44 402 2 97 303 0 La Porte County 9 0 2 0 7 50 3 35 12 0 Lawrence County 8 0 3 1 4 1 1 4 5 2 0 Madison County 19 0 0 2 17 34 6 22 6 1 Marion County 60 0 5 5 50 275 196 78 1 Marshall County 9 0 3 1 5 39 9 25 5 0 Martin County 1 1 0 3 2 6 9 2 5 2 0 Miami County 1 1 1 0 0 10 38 6 27 5 1 Monroe County 1 1 0 3 1 7 68 8 53 7 0 Montgomery County 7 0 0 2 5 9 7 1 0 Morgan County 1 1 1 0 1 9 53 8 38 7 0 Newton County 1 0 0 0 1 13 4 7 2 0 Noble County 14 0 1 2 11 37 6 30 1 0 Ohio County 2 0 0 1 1 9 0 9 0 0 Orange County 17 0 6 9 35 6 27 2 0 See footnotes at end of table. 218 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor State agency by state Violent crime slaughter Forcible rape Robbery A % £j tgl va ted assault Property crime Burglary Larceny- theft vchwlc theft Arson' INDIANA— Continued State Police — Continued: Owen County 4 1 2 0 i 9 2 5 2 0 Parke County 9 0 1 1 7 16 3 11 2 0 Perry County 1 1 0 0 2 9 47 22 20 5 0 Pike County 9 0 4 0 5 15 1 14 0 0 Potter County 7 0 0 0 7 24 0 21 3 0 Posey County 13 0 2 2 9 23 5 15 3 2 Pulaski County 3 0 0 0 3 3 2 1 0 1 Putnam County 14 0 2 4 8 30 4 22 4 0 Randolph County 2 0 0 1 1 6 0 5 1 0 Ripley County 14 0 1 1 12 108 23 75 10 1 Rush County 1 0 0 1 0 11 2 8 1 0 Scott County 15 0 3 2 10 34 8 22 4 1 Shelby County 6 0 0 2 4 19 2 14 3 0 Spencer County 12 0 1 4 7 27 7 17 3 0 Starke County 2 0 0 2 0 7 0 4 3 1 Steuben County 18 0 1 4 13 31 7 20 4 1 St. Joseph County 18 0 1 2 15 73 17 43 13 0 Sullivan County 1 J n u 2 1 o 1 ~> D 1 J 1 n Switzerland County 8 0 2 1 5 18 3 11 4 i Tippecanoe County 1 6 u 1 1 4 1 J 1 1 54 1 1 4.i 1 0 0 Tipton County 2 0 1 0 1 12 7 4 1 0 Union County 2 0 0 i 1 7 0 7 0 0 Vanderburgh County 1 1 0 4 i 6 41 1 30 10 0 Vermillion County 5 0 0 0 5 12 3 8 1 0 Vigo County 43 0 1 12 30 134 25 78 31 0 Wabash County 1 0 1 0 0 14 4 9 1 0 Warren County u u 0 0 u 2 0 2 0 0 Warrick County 7 0 0 2 5 22 5 17 0 0 Washington County 0 2 0 4 1 2 3 9 0 0 Wayne County 7 0 1 1 5 33 4 22 7 0 Wells County 4 u (} 0 4 3 0 2 1 0 White County 10 0 0 3 7 33 7 20 6 0 Whitley County 6 0 0 2 4 1 2 10 1 1 Kansas Alcoholic Beverage Control 0 0 0 0 0 0 0 0 0 0 Kansas Bureau of Investigation 13 1 1 0 11 6 1 5 0 0 Kansas Department of Wildlife and Parks 2 0 1 0 1 57 5 52 0 1 Kansas Highway Patrol 33 0 0 1 32 141 6 92 43 0 Kansas Lottery Security Division 0 0 0 0 0 0 0 0 0 0 Securities Office, Investigation Section 0 0 0 0 0 0 0 0 0 0 KENTUCKY 2 LOUISIANA Tensas Basin Levee 0 0 0 0 0 0 0 0 0 0 MAINE Drug Enforcement Agency: Androscoggin County 0 0 0 0 0 0 0 0 0 0 Aroostook County 0 0 0 0 0 0 0 0 0 0 Cumberland County 0 0 0 0 0 0 0 0 0 0 Franklin County 0 0 0 0 0 0 0 0 0 0 Hancock County 0 0 0 0 0 0 0 0 0 0 Kennebec County 0 0 0 0 0 0 0 0 0 0 Knox County 0 0 0 0 0 0 0 0 0 0 Lincoln County 0 0 0 0 0 0 0 0 0 0 Oxford County 0 0 0 0 0 0 0 0 0 0 Penobscot County 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. OFFENSES REPORTED 219 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' MAINE— Continued Drug Enforcement Agency — Continued: Piscataquis County 0 0 0 Sagadahoc County 0 0 0 Somerset County 0 0 0 Waldo County 0 0 0 Washington County 0 0 0 York County 0 0 0 State Police: Androscoggin County 6 1 2 Aroostook County 8 1 4 Cumberland County 6 1 1 Franklin County 2 0 0 Hancock County l 0 1 Kennebec County 8 0 1 Knox County 3 0 0 Lincoln County 0 0 0 Oxford County 3 0 2 Penobscot County 12 1 3 Piscataquis County 2 1 0 Sagadahoc County l 0 0 Somerset County l 1 0 Waldo County l 0 1 Washington County 2 0 0 York County 6 0 0 MARYLAND Comptroller of the Treasury, Field Enforcement Division 0 0 0 Department of Public Safety and Correctional Services, Internal Investigations Unit 15 1 2 0 General Services: Annapolis, Anne Arundel County 0 0 0 Baltimore City 2 0 0 Maryland State Police Statewide 5 0 1 Natural Resources Police 0 0 0 Rosewood 4 0 0 Springfield Hospital 0 0 0 State Police: Allegany County 71 0 6 Anne Arundel County 16 0 0 Baltimore City 0 0 0 Baltimore County 31 0 0 Calvert County 119 1 2 Caroline County 21) 0 5 Carroll County 205 1 37 Cecil County 251 4 8 Charles County 19 1 0 Dorchester County 8 0 1 Frederick County 78 0 11 Garrett County 16 0 4 Harford County 155 0 5 Howard County 6 0 0 Kent County 6 0 0 Montgomery County 7 0 0 Prince George's County 46 0 0 Queen Anne's County 21 0 1 Somerset County 72 2 2 St. Mary's County 78 0 7 Talbot County 8 1 2 Washington County 84 0 8 Wicomico County 53 0 2 Worcester County 0 1 See footnotes at end of table. 220 CRIME IN THE UNITED STATES 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 122 36 77 9 0 0 3 223 96 112 15 1 1 3 78 18 48 12 0 0 2 55 15 36 4 1 0 0 189 76 110 3 0 0 7 240 58 159 23 0 0 3 59 9 43 7 0 0 0 7 5 1 0 0 1 121 46 63 12 0 0 8 299 99 181 19 0 0 1 16 5 10 1 0 1 0 3 1 2 0 0 0 0 146 33 106 7 0 0 0 43 17 24 2 1 0 2 193 68 1 15 10 0 0 6 77 35 39 3 0 0 0 0 0 0 0 0 0 149 0 0 0 0 0 0 0 19 0 19 0 1 1 92 1 90 1 0 0 4 2 0 0 2 0 0 0 131 0 131 0 19 0 4 10 0 10 0 0 0 0 17 1 1 6 0 0 1 64 579 141 408 30 4 2 14 99 3 88 8 0 () 0 0 () 0 0 () 1 30 37 0 30 7 0 1 115 329 86 229 14 10 0 15 99 27 54 18 1 1 20 147 1,372 325 967 80 7 23 216 1,020 336 600 84 16 0 18 37 2 30 5 39 2 5 74 23 38 13 1 12 55 765 123 594 48 13 1 11 173 47 111 15 5 55 95 644 138 438 68 36 3 3 29 26 2 0 0 6 25 9 12 4 2 0 7 20 3 11 6 0 0 46 160 1 107 52 0 3 17 161 36 117 8 10 5 63 289 124 137 28 2 5 66 297 81 185 31 25 0 5 103 24 70 9 6 6 70 360 59 265 36 19 13 38 274 90 158 26 16 248 74 161 13 14 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor State agency by state Violent crime man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft vehicle theft Arson' iviAKi IjAinli — continued State Fire Marshal 0 0 0 0 0 0 0 0 0 0 Transit Administration 0 0 0 0 0 0 0 0 0 0 Transportation Authority 21 0 0 0 21 452 1 297 154 0 MASSACHUSETTS State Police: Barnstable County 3 0 0 1 2 2 0 2 0 0 Bristol County 8 0 0 1 7 5 0 4 1 0 Dukes County 0 0 0 0 0 0 0 0 0 0 Norfolk County 4 0 0 0 4 4 0 3 1 0 Plymouth County 11 0 0 2 9 9 0 5 4 0 MICHIGAN State Police: Alcona County 6 0 2 1 3 27 9 17 1 0 Alger County 10 0 1 0 9 121 46 64 11 4 Allegan County 43 0 17 2 24 402 125 245 32 4 Alpena County 33 3 7 0 23 251 71 165 15 1 Antrim County 8 0 5 0 3 21) 6 12 2 1 Arenac County 14 0 4 0 10 62 24 38 0 3 Baraga County 9 0 2 0 7 43 13 26 4 0 Barry County 48 1 13 0 34 414 167 215 32 10 Bay County 79 0 33 9 37 519 170 308 41 6 Benzie County 13 0 7 0 6 51 15 32 4 0 Berrien County 69 2 34 2 31 390 124 234 32 6 Branch County 47 0 19 0 28 231 75 128 28 2 Calhoun County 45 0 19 2 24 287 115 154 18 1 Cass County 21 1 4 3 13 93 24 59 10 12 Charlevoix County 8 0 6 0 2 13 6 7 0 2 Cheboygan County 23 0 6 1 16 187 75 95 17 2 Chippewa County 35 1 3 1 30 158 68 83 7 2 Clare County 27 0 7 1 19 94 42 43 9 1 Clinton County 7 0 4 0 3 51 23 24 4 0 Crawford County 5 0 1 1 3 23 9 12 2 1 Delta County 24 0 13 0 11 117 29 70 18 3 Dickinson County 2 0 1 0 1 46 21 20 5 1 Eaton County 3 0 1 0 2 24 6 14 4 0 Emmet County 14 0 6 1 7 170 62 105 3 3 Genesee County 69 1 27 2 39 393 131 227 35 1 1 Gladwin County 32 0 5 0 27 137 69 53 15 4 Gogebic County 18 0 10 0 8 31 15 14 2 0 Grand Traverse County 27 0 13 0 14 252 38 198 16 3 Gratiot County 41) 0 11 1 28 141 43 90 8 2 Hillsdale County 41) 0 14 1 25 218 74 125 19 3 Houghton County 14 0 5 0 9 135 32 93 10 4 Huron County 7 0 5 0 2 49 15 29 5 0 Ingham County 9 0 7 0 2 62 4 57 1 1 Ionia County 42 0 17 0 25 257 90 156 1 1 3 Iosco County 38 0 10 1 27 192 76 107 9 4 Iron County 14 1 7 0 6 58 21 32 5 0 Isabella County 38 1 14 4 19 369 120 223 26 3 lackson County 93 0 18 2 73 392 112 250 30 4 Kalamazoo County 10 0 4 1 5 24 4 18 2 2 Kalkaska County 21) 0 10 0 10 91 39 43 9 0 Kent County 19 1 8 0 10 50 3 44 3 11 Lake County 21 0 10 0 11 28 7 15 6 3 Lapeer County 39 1 14 3 21 170 62 93 15 6 Leelanau County 1 0 1 0 0 15 5 10 0 1 Lenawee County 26 0 9 1 16 167 66 87 14 5 Livingston County 85 0 14 9 62 681 162 450 69 2 Luce County 13 0 1 0 12 71 44 4 1 See footnotes at end of table. OFFENSES REPORTED 221 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent Forcible Aggravated Property Larceny- vchwlc State agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson' MICHIGAN— Continued State Police — Continued: Mackinac County 8 0 2 0 6 124 49 69 6 2 Macomb County 22 1 9 1 11 51 17 28 6 6 Manistee County 16 0 4 2 10 224 92 123 9 5 Marquette County 29 0 5 0 24 251 97 131 23 5 Mason County 10 0 9 0 1 61 12 47 2 0 Mecosta County 19 0 13 0 6 84 23 56 5 2 Menominee County 13 0 6 0 7 135 68 57 10 0 Midland County 2 0 0 0 2 12 4 8 0 0 Missaukee County 5 0 1 0 4 38 16 20 2 2 Monroe County 33 0 14 4 15 241 64 145 32 7 Montcalm County 64 0 34 3 27 550 276 240 34 10 Montmorency County 8 0 3 1 4 42 20 19 3 0 Muskegon County 24 1 4 0 19 265 89 159 17 5 Newaygo County 49 1 27 0 21 363 97 241 25 6 Oakland County 53 3 16 3 31 263 67 165 31 2 Oceana County 16 0 11 2 3 196 65 113 18 2 Ogemaw County 12 0 6 0 6 203 78 108 17 7 Ontonagon County 5 0 4 0 1 39 14 22 3 3 Osceola County 23 0 14 0 9 148 58 73 17 3 Oscoda County 8 u 0 3 23 1 J 1 l\ LU 2 (1 Otsego County 39 1 12 1 25 263 1 16 1 23 24 1 Ottawa County 27 0 10 1 16 168 36 (25 7 2 Presque Isle County 7 0 7 0 0 24 13 10 1 i Roscommon County 27 0 7 0 20 266 89 153 24 3 Saginaw County 97 1 20 9 67 382 111 241 30 8 Sanilac County 28 0 5 0 23 183 96 68 19 1 Schoolcraft County 22 0 3 0 19 115 38 71 6 3 Shiawassee County 33 0 12 2 19 260 58 183 19 2 St. Clair County 26 0 7 1 18 193 76 91 26 10 St. Joseph County 58 1 19 0 38 334 103 189 42 13 Tuscola County 46 2 22 0 22 178 57 104 17 3 Van Buren County 107 1 17 2 87 618 223 340 55 13 Washtenaw County 43 0 11 2 30 230 97 101 32 5 Wayne County 109 12 16 19 62 160 22 111 27 4 Wexford County 22 0 11 0 11 250 62 178 10 1 \ f 1 XI XI I." C / VI' A Capitol Security, St. Paul 0 0 0 0 0 37 0 37 0 Minnesota State Patrol 1 0 0 0 1 1 0 0 1 0 State Patrol: Brainerd 1 0 0 0 1 2 0 0 2 0 Detroit Lakes 0 0 0 0 0 0 0 0 0 0 Duluth 0 0 0 0 0 0 0 0 0 0 Golden Valley 0 0 0 0 0 0 0 0 0 0 Mankato 0 0 0 0 0 1 0 0 1 0 Marshall 0 0 0 0 0 1 0 0 1 0 Oakdale 0 0 0 0 0 0 0 0 0 0 Rochester 1 0 0 0 1 0 0 0 0 0 St. Cloud 0 0 0 0 0 0 0 0 0 0 Thief River Falls 0 0 0 0 0 0 0 0 0 0 Virginia 0 0 0 0 0 0 0 0 0 0 NEBRASKA Nebraska State Patrol 1 1 0 0 0 11 0 0 0 0 0 State Patrol: Adams County 1 0 0 0 1 0 0 0 0 0 Antelope County 0 0 0 0 0 1 0 0 0 Arthur County 0 0 0 0 0 0 0 0 0 0 Banner County 0 0 0 0 0 0 0 0 0 0 Blaine County 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. 222 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' NEBRASKA— Continued State Patrol — Continued: Boone County 0 0 0 Box Butte County 0 0 0 Boyd County 0 0 0 Brown County 0 0 0 Buffalo County l 0 1 Burt County 0 0 0 Butler County 0 0 0 Cass County l 0 0 Cedar County 2 0 1 Chase County 2 0 0 Cherry County l 0 0 Cheyenne County 0 0 0 Clay County 0 0 0 Colfax County 2 0 0 Cuming County 0 0 0 Custer County 2 0 1 Dakota County 0 0 0 Dawes County 4 0 4 Dawson County 3 0 0 Deuel County 0 0 0 Dixon County 0 0 0 Dodge County 0 0 0 Douglas County 4 0 0 Dundy County 0 0 0 Fillmore County 0 0 0 Franklin County 0 0 0 Frontier County 0 0 0 Furnas County 0 0 0 Gage County 0 0 0 Garden County l 0 0 Garfield County 0 0 0 Gosper County 0 0 0 Grant County 0 0 0 Greeley County l 0 1 Hall County 6 0 1 Hamilton County 0 0 0 Harlan County l 0 0 Hayes County 0 0 0 Hitchcock County 0 0 0 Holt County l 0 0 Hooker County 0 0 (} Howard County 0 0 0 Jefferson County 0 0 0 Johnson County 3 0 0 Kearney County 0 0 0 Keith County 0 0 0 Keya Paha County 0 0 0 Kimball County l 0 0 Knox County 0 0 0 Lancaster County 7 0 0 Lincoln County 4 0 0 Logan County 0 0 0 Loup County 0 0 0 Madison County 5 0 1 McPherson County 0 0 0 Merrick County l 0 0 Morrill County 0 0 0 Nance County 0 0 0 Nemaha County l 0 0 Nuckolls County 0 0 0 Otoe County 0 0 0 Pawnee County 0 0 0 0 0 0 0 0 0 () 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 8 1 0 7 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 0 0 0 3 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 4 2 1 0 1 0 0 0 0 0 0 0 0 0 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 1 0 0 0 0 0 0 0 0 0 0 0 1 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 5 1 0 0 0 1 3 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 10 6 2 2 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. OFFENSES REPORTED 223 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft imildkasiva — l oiitinueci State Patrol — Continued: Perkins County 0 0 0 0 0 0 0 0 () Phelps County 0 0 0 0 0 0 0 0 0 () Pierce County 2 U 0 0 2 c J 3 1 1 (1 Platte County 0 0 0 0 0 1 1 0 n 0 Polk County 0 0 0 0 0 0 0 0 0 0 Red Willow County u u 0 0 u i U u 1 u Richardson County u u 0 0 u u n U u U U Rock County n u u 0 0 (1 u U (i u U n u Saline County 0 0 0 0 0 0 0 0 0 0 Sarpy County n ii n u 0 0 I) U 2 U Saunders County u u 0 0 n U u U (i u u n jcotts rsiun county i u 1 0 U ■7 U _ 1 n u Seward County u u 0 0 u u n U U U Sheridan County u u u u U u 0 u 0 (1 Sherman County 2 0 2 0 0 0 0 0 0 0 Sioux County 0 0 u u 0 1 {) 1 0 0 Stanton County 0 0 0 0 0 0 0 0 0 0 Thayer County {) 0 0 0 0 0 0 0 0 0 Thomas County 0 0 0 0 0 0 0 0 0 0 Thurston County 3 0 1 0 2 0 0 0 0 (1 Valley County u u 0 0 u u n U ii u U Washington County 1 0 0 0 1 0 0 0 0 0 Wayne County 1 U 0 0 1 2 0 1 1 (1 Webster County 1 U 0 0 1 0 0 II 0 (1 Wheeler County 0 0 0 0 0 0 0 0 0 0 York County u u n u u u i u n u NEW HAMPSHIRE 1 Liquor Commission 2 0 0 1 1 4 3 1 0 0 State Police: Selknap County 2 o 0 1 1 4 ( o o Carroll County 6 0 1 0 5 74 53 2 0 Cheshire County 3 0 2 0 1 32 13 15 4 0 Hillsborough County 3 0 0 0 3 7 6 1 0 1 Merrimack County 5 0 3 0 2 78 33 33 12 0 Rockingham County 3 0 2 0 1 4 0 3 1 0 Sullivan County 5 0 1 0 4 20 8 3 0 NEW JERSEY Hunterdon Developmental Center {) 0 0 0 0 12 0 12 0 0 Port Authority of New York and New Jersey 4 47 0 0 IS 29 729 19 668 42 1 NEW YORK Port Authority of New York and New Jersey 5 15S 0 1 41 1 16 1,265 22 1,216 27 State Park: Allegany County 0 0 0 0 0 0 0 0 0 Broome County 1 0 0 0 1 15 13 1 Cattaraugus County 0 0 0 0 0 12 0 12 0 Cayuga County 1 0 0 0 1 2 0 2 0 Chautauqua County 0 0 0 0 0 0 0 0 0 Chenango County 0 0 0 0 0 0 0 0 0 Columbia County 1 0 0 0 1 5 0 5 0 Cortland County 0 0 0 0 0 0 0 0 0 Delaware County 0 0 0 0 0 0 0 0 0 Dutchess County 0 0 0 0 0 9 2 7 0 Erie County 0 0 0 0 0 12 0 12 0 Genesee County 0 0 0 0 0 1 0 1 0 Herkimer County 0 0 0 0 0 0 0 0 0 Livingston County 0 0 0 0 0 10 6 4 0 See footnotes at end of table. 224 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' NEW YORK— Continued State Park — Continued: Madison County 0 0 Monroe County l 0 Niagara County l 0 Oneida County 0 0 Onondaga County 0 0 Ontario County 0 0 Orange County 0 0 Orleans County l 0 Oswego County 0 0 Otsego County 0 0 Putnam County l 0 Rockland County 0 0 Schuyler County 0 0 Seneca County 0 0 Steuben County 0 0 Sullivan County 0 0 Tioga County 0 0 Tompkins County l 0 Ulster County 0 0 Wayne County 0 0 Westchester County l 0 Wyoming County 0 0 Yates County 0 0 :ate Police: Albany County 22 0 Allegany County 40 1 Broome County 69 0 Cattaraugus County 39 1 Cayuga County 82 1 Chautauqua County US 0 Chemung County 47 1 Chenango County 25 0 Clinton County 146 0 Columbia County 33 0 Cortland County 20 0 Delaware County 48 1 Dutchess County 1 1 1 2 Erie County 64 2 Essex County 38 0 Franklin County 121 2 Fulton County 18 0 Genesee County 1 0 Greene County 93 1 Herkimer County 29 0 Jefferson County 57 0 Lewis County 15 0 Livingston County 21) 0 Madison County 19 0 Monroe County 27 0 Montgomery County 14 0 Nassau County 9 1 New York County 1 0 Niagara County 13 0 Oneida County 81) 0 Onondaga County 52 1 Ontario County 16 0 Orange County 156 2 Orleans County 16 0 Oswego County 29 0 Otsego County 71 0 Putnam County 9 0 Rensselaer County 91 0 0 0 0 0 0 0 0 0 0 1 6 0 6 0 0 1 0 22 0 22 0 0 0 0 10 1 9 0 0 0 0 15 0 15 0 0 0 0 2 0 2 0 0 0 0 4 2 2 0 0 0 1 1 1 0 0 0 0 0 1 1 2 9 0 0 0 0 3 0 3 0 0 0 1 7 0 7 0 0 0 0 28 2 26 0 0 0 0 6 1 5 0 0 0 0 20 4 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 10 1 9 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 1 26 0 26 0 0 0 0 3 0 3 0 0 0 0 0 0 0 0 0 1 21 242 22 208 12 7 1 31 283 115 152 16 15 12 42 710 122 568 20 5 2 31 332 124 205 3 8 4 69 226 67 154 5 4 0 14 155 29 1 16 10 9 0 37 297 32 251 14 6 1 18 172 61 111 0 25 3 118 802 321 454 27 7 5 21 321 61 246 14 1 1 18 230 27 197 6 4 1 42 383 150 226 7 15 8 86 619 174 412 33 5 1 56 561 98 441 22 10 0 28 351 164 176 1 1 1 1 4 104 335 144 174 17 3 0 15 102 24 77 1 1 0 0 71 12 55 4 11 5 76 237 127 97 13 2 2 25 306 130 167 9 18 4 35 412 1 14 289 9 2 1 12 93 64 29 0 3 0 17 88 22 64 2 6 2 11 240 91 137 12 0 0 27 23 22 0 1 1 12 87 15 70 2 0 0 8 12 0 9 3 0 1 0 72 0 72 0 3 2 8 190 29 152 9 6 2 72 573 184 367 22 5 7 39 717 182 525 10 3 1 12 232 37 186 9 22 35 97 870 153 655 62 2 0 14 53 14 39 0 6 4 19 689 214 462 13 8 2 61 479 148 326 5 1 2 6 145 24 1 16 5 12 77 442 141 289 12 See footnotes at end of table. OFFENSES REPORTED 225 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft iNiiW iukr — continued State Police — Continued: Rockland County n u 3 3 l _ 40 j TO i c l j Saratoga County 7 1 0 7 8 56 5 1 8 134 363 2 1 Schenectady County 1 2 U 3 0 9 57 i i 14 in 4(1 3 Schoharie County 17 0 7 0 10 157 94 8 Schuyler County 4 0 1 1 2 38 1 5 20 3 Seneca County 1 4 u 5 0 9 9 1 26 65 0 Steuben County Ij 1 1 26 _ir> cSJ 'U 1 7 St. Lawrence County 100 1 24 1 74 398 183 204 11 Suffolk County 22 1 A 4 _ 15 49 17 28 4 Sullivan County 140 5 24 10 101 531 214 283 34 Tioga County 5 0 3 0 2 121 41 75 5 Tompkins County 48 0 2 0 46 264 30 223 1 1 Ulster County 197 2 12 7 1 76 534 1 58 340 36 Warren County 26 1 1 4 1 10 127 1 2 1 1 2 Washington County 1') 0 2 1 16 142 50 89 3 Wayne County 37 1 o a 4 24 444 104 327 13 Westchester County 89 1 10 17 61 432 72 330 30 Wyoming County 15 0 2 n u 13 84 18 62 4 Yates County 4 0 2 0 2 32 11 19 2 NORTH CAROLINA Department of Human Resources 0 0 0 0 0 13 1 12 0 0 Division of Alcohol Law Enforcement 0 0 u u 0 0 0 0 0 0 North Carolina Highway Patrol 0 0 0 0 0 0 0 0 0 0 State Capitol Police 3 0 0 1 2 89 15 72 2 0 I JrlH J Ohio State Highway Patrol 1 As 0 30 7 1 1 1 1 zz 1 711 4 /U -J J4f> tn 1 V 1 0 ni/T A IJ f"l f\ 1 A (JIvijArlUlVIA Capitol Park Police 1 1 u 0 0 1 1 1 1 44 J 3^ J J A 4 1 DTTIVIVTCVT \7\ TVTT A Bureau of Narcotics: Adams County 0 0 0 0 0 0 0 0 0 <) Allegheny County u u 0 0 u 0 u 0 (1 Bedford County u u 0 0 u II 0 u 0 (1 Blair County n u 0 0 n u (1 u (1 u 11 u o Bradford County 0 0 0 0 0 0 0 0 0 0 Cambria County i) u 0 0 u ii U u u U Cameron County II U 0 0 U II 0 U 0 (1 Centre County u n u 0 0 U u u 11 u o () Chester County u u 0 0 u ii n U u U U Clearfield County u U 0 0 u II 0 /I u 0 (1 Clinton County n u u 0 0 (1 u u (1 (1 u u Columbia County 0 0 0 0 0 0 0 0 0 0 Crawford County 0 0 0 0 0 0 {) 0 0 0 Cumberland County 0 0 0 0 0 0 0 0 0 0 Dauphin County 0 0 0 0 0 1 0 i 0 0 Delaware County 0 0 0 0 0 0 0 0 0 0 Elk County 0 0 0 0 0 0 0 0 0 0 Erie County {) 0 0 0 0 0 0 0 0 0 Fayette County {) 0 0 0 0 0 0 0 0 0 Forest County 0 0 0 0 0 0 0 0 0 0 Franklin County {) 0 0 0 0 0 0 0 0 0 Fulton County 0 0 0 0 0 0 0 0 0 0 Greene County 0 0 0 0 0 0 0 0 0 0 Huntingdon County 0 0 0 0 0 () () 0 0 0 See footnotes at end of table. 226 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft rHINlNS I LVAiNIA — L. Oil till lied Bureau of Narcotics — Continued; Juniata County u n u 0 0 n u u ii u o Q Lackawanna County 0 0 0 0 0 0 0 0 0 () Lancaster County I) u 0 0 n ii U n y> u u Lebanon County n u n u 0 0 ll u i n u I o Luzerne County 0 0 0 0 0 0 0 0 0 <) Lycoming County u u 0 0 i\ y> u U u U U McKean County u u 0 0 U u n U u U U Mifflin County n u u 0 0 (i u u U (1 U u Montour County 0 0 0 0 0 0 0 0 0 0 Northumberland County u u (} 0 n ii U ii u u Perry County u u 0 0 n u U (i u n Philadelphia County n u u 0 0 U n u U (i u n u n u Pike County u n U 0 0 n U n u U i' o Potter County o 0 (} 0 0 0 0 u 0 0 Snyder County n u 0 0 u n u 11 u Q Somerset County ii u (} 0 n y> u ii u U Sullivan County U 0 (} 0 U 0 0 u 0 0 Susquehanna County 0 0 0 0 0 0 0 0 0 0 Tioga County 0 0 0 0 0 0 0 0 0 0 Union County u u 0 0 i\ y> u U ii u u Venango County u u (} 0 i\ y> u n u ii u U Warren County 0 0 0 0 0 0 0 0 0 0 Washington County II 0 (} 0 U 0 0 /, y> 0 0 Wayne County n ii u (} 0 n y> u u ii u u Westmoreland County 0 0 0 0 0 0 0 0 0 0 Wyoming County 0 0 0 0 0 0 0 0 0 0 York County o 0 0 0 u 0 0 y) 0 1 Department of Environmental Resources 1 0 0 0 1 1 0 0 9 1 0 State Capitol Police 5 0 0 1 4 9 J 2 91 2 0 State Park Police: Presque Isle 0 (} 0 u 3 1 0 3 1 0 0 Pymatuning 0 0 0 0 0 39 3 36 0 1 State Police: Adams County 49 1 22 5 2 1 j4 1 140 359 42 6 Allegheny County 6(1 1 2 2 55 38 5 29 4 0 Armstrong County 52 0 14 7 3 1 444 148 252 44 8 Beaver County I 1 0 1 4 6 19 1 48 123 1 8 6 Bedford County 5 1 0 8 8 35 1 79 362 34 1 7 Berks County 94 0 9 7 78 563 167 337 59 1 7 Blair County n\ jU 0 3 6 2 I 328 1 04 i ii i 1 94 30 3 Bradford County a c J3 1 18 1 Id ^ i ti D I 9 220 _46 53 23 Bucks County 32 0 4 3 25 267 60 1 78 29 1 4 Butler County 5 1 0 16 14 2 1 7 1 6 205 468 43 1 1 Cambria County tin 6 / 0 5 5 J 1 303 1 1 3 I A 1 14.T 47 8 Cameron County 4 0 2 0 2 106 40 59 7 1 Carbon County 24 0 9 3 1 2 358 1 1 2 226 20 4 Centre County 1 33 1 11 2 1 19 624 1 67 42 1 36 10 Chester County 1 24 1 19 21 83 1,094 32 1 688 85 35 Clarion County 33 0 11 5 1 7 456 133 306 1 7 3 Clearfield County 47 1 8 3 35 589 1 88 341 60 24 Clinton County 25 2 6 6 11 433 103 316 14 5 Columbia County 20 0 5 4 11 292 107 !72 13 2 Crawford County 32 0 16 3 13 807 386 367 54 5 Cumberland County 111 2 13 7 89 636 150 440 46 12 Delaware County 86 1 10 19 56 873 187 619 67 15 Elizabethville 65 1 17 9 38 735 192 491 52 9 Elk County 20 0 10 1 9 221 96 108 17 5 Erie County 95 1 30 16 48 1,552 443 1,008 101 16 Fayette County 199 2 29 52 116 2,005 604 1,137 264 117 Forest County 8 0 3 0 5 165 100 60 5 0 Franklin County 130 1 34 24 71 1,162 264 81 1 87 12 Fulton County 0 6 4 27 182 69 108 5 2 See footnotes at end of table. OFFENSES REPORTED 227 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Violent crime Property crime Property crime Arson' Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Burglary Larceny- theft Motor vehicle theft State Police — Continued: Greene County _y n u 5 9 i j jvc> 1 J\J _4 1 ii 1 1 1 Huntingdon County 54 0 13 0 41 372 141 216 1 5 5 Indiana County 53 U 16 12 25 799 1 88 539 72 24 Jefferson County 33 1 4 3 25 292 125 146 2 1 1 4 Juniata County 22 1 7 3 l i 253 145 99 9 6 Lackawanna County a c 3 J 2 4 4 25 233 80 1 27 26 3 1 Lancaster County OO yy i i 16 14 (-.Si Oft jUft (CI i v Lawrence County 62 0 6 12 44 7 1 8 201 454 63 1 On Lebanon County u 2 4 J\J £*JJ 1 MV i 4 Lehigh County 07 y / 2 17 16 D_ OOV yy ft i ii LJ 1 AOO 6° 1 Q Luzerne County 1 24 10 21 10 83 920 232 623 65 76 Lycoming County 46 0 14 10 22 77 1 23 1 494 46 7 McKean County 1 7 u 8 0 Q 1 j_ OV i\> Mercer County 4_ u 7 6 "in ly 4Po 1 1 1 1 4J -oO 1 M 111 Mifflin County 1 i 1 1 1 0 4 J 1 Q7 On ftV OO yy o 1 Monroe County 106 U 20 23 63 1 ,137 343 673 1 2 1 22 Montour County 4 U 1 0 3 1 1 7 33 78 6 0 Northampton County 11 u 6 2 1 0 1 V _ftU ft4 ! A 7 ly 7 Northumberland County 32 0 6 2 24 393 100 268 25 3 Perry County 58 1 16 8 33 611) 1 OA 378 36 6 Philadelphia County u u 0 0 U 3 0 3 0 0 Pike County 49 1 12 3 33 575 288 25 1 36 1 6 Potter County 11 u 6 0 1 A 1 0 1 77 1 / / IK) □ft 1 / J Schuylkill County 1 M 1 4_ _ 16 9 1 1j o4_ 1 7v I fa JoV / J 1 Q Skippack County 8 1 1 6 17 57 468 1 1 5 321 32 8 Snyder County i 1 1 1 U J 1 0 j ly vo T V A _ftO i i 1 3 i Somerset County 77 3 12 8 54 636 232 358 46 26 Sullivan County 14 0 A 4 | 9 139 65 68 6 4 Susquehanna County 43 0 13 5 25 486 139 297 50 12 Tioga County 15 0 5 2 8 359 83 252 24 6 Union County U 7 0 1 J 273 7 V to t y=; 1 83 1 0 2 Venango County 43 0 4 3 1 437 1 1 9 286 32 8 Warren County 22 2 6 1 1 3 284 1 1 6 149 19 7 Washington County Oj n u 18 21 44 7^7 I J 1 2 1 1 i SA 4 JO AO Wayne County Jj u 10 4 sL. 1 JJrj 1 Qfi 3 1 0 4j i j Westmoreland County 23 1 0 21 61 149 2,365 534 1,628 203 42 Wyoming County 29 U A J 20 348 9 1 224 33 8 York County 175 2 10 9 154 555 142 365 48 23 RHODE ISLAND Department of Environmental Management 0 0 0 0 0 1 9 2 14 3 0 Rhode Island State Police Headquarters _4 2. 14 2 0 17 4 / J jj o i State Police; Chepachet 3 1 1 0 1 32 1 27 4 0 Hope Valley 11 U 11 1 1 (i 1 u 1 _ft _ft in yl o o n Lincoln Woods u 4 0 o ft W7 ■3 J A A Oil 1 V 1 ft U Portsmouth 3 u 1 0 2 1 7 0 i i 14 3 0 w lcKtora 10 0 7 1 2 37 3 3 1 3 0 SOUTH CAROLINA Alcohol Beverage Control: Bamberg County 0 0 0 0 0 0 0 0 0 0 Edgefield County 0 0 0 0 0 0 0 0 0 0 Bureau of Protective Services 2 0 0 1 1 39 2 33 4 0 Department of Mental Health 15 0 0 0 15 27 0 26 1 0 Department of Natural Resources: Anderson County 0 0 0 0 0 0 0 0 0 0 Beaufort County 0 0 0 0 0 0 0 0 0 0 Berkeley County 0 0 0 0 0 0 0 0 0 0 Chesterfield County 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. 228 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent Forcible A % £j tgl va ted Property Larceny- vchwlc State agency by state crime slaughter rape Robbery OS sou It crime Burglary theft theft Arson 1 SOUTH CAROLINA— Continued Department of Natural Resources — Continued: Colleton County 0 0 0 0 0 0 0 0 0 0 Marion County 0 0 0 0 0 0 0 0 0 0 Richland County 0 0 0 0 0 0 0 0 0 0 Employment Security Commission 0 0 0 0 0 1 0 0 1 0 Highway Patrol: Abbeville County 0 0 0 0 0 0 0 0 0 0 Aiken County 0 0 0 0 0 0 0 0 0 0 Allendale County 0 0 0 0 0 0 0 0 0 0 Anderson County 0 0 0 0 0 0 0 0 0 0 Bamberg County 0 0 0 0 0 0 0 0 0 0 Barnwell County 0 0 0 0 0 0 0 0 0 0 Beaufort County 0 0 0 0 0 0 0 0 0 0 Berkeley County 0 0 0 0 0 0 0 0 0 0 Calhoun County 0 0 0 0 0 0 0 0 0 0 Charleston County 0 0 0 0 0 0 0 0 0 0 Cherokee County 0 0 0 0 0 0 0 0 0 0 Chester County 0 0 0 0 0 0 0 0 0 0 Chesterfield County 0 0 0 0 0 0 0 0 0 0 Clarendon County 0 0 0 0 0 0 0 0 0 0 Colleton County 0 0 0 0 0 0 0 0 0 0 Darlington County 0 0 0 0 0 0 0 0 0 0 Dillon County 0 0 0 0 0 0 0 0 0 0 Dorchester County 0 0 0 0 0 0 0 0 0 0 Edgefield County 0 0 0 0 0 0 0 0 0 0 Fairfield County 0 0 0 0 0 0 0 0 0 0 Florence County 0 0 0 0 0 0 0 0 0 0 Georgetown County 0 0 0 0 0 0 0 0 0 0 Greenville County 0 0 0 0 0 0 0 0 0 0 Greenwood County 0 0 0 0 0 0 0 0 0 0 Hampton County 0 0 0 0 0 0 0 0 0 0 Horry County 0 0 0 0 0 1 0 1 0 0 Jasper County 0 0 0 0 0 0 0 0 0 0 Kershaw County 0 0 0 0 0 0 0 0 0 0 Lancaster County 0 0 0 0 0 0 0 0 0 0 Laurens County 0 0 0 0 0 0 0 0 0 0 Lee County 0 0 0 0 0 0 0 0 0 0 Lexington County 0 0 0 0 0 0 0 0 0 0 Marion County 0 0 0 0 0 0 0 0 0 0 Marlboro County 0 0 0 0 0 0 0 0 0 0 McCormick County 0 0 0 0 0 0 0 0 0 0 Newberry County 0 0 0 0 0 0 0 0 0 0 Oconee County 0 0 0 0 0 0 0 0 0 0 Orangeburg County 0 0 0 0 0 0 0 0 0 0 Pickens County 0 0 0 0 0 0 0 0 0 0 Richland County 1 1 1' u (} 0 u 0 0 u 0 (1 Saluda County 0 0 0 0 0 0 0 0 0 0 Spartanburg County 0 0 0 0 0 0 0 0 0 0 Sumter County 0 0 0 0 0 0 0 0 0 0 Union County 0 0 0 0 0 0 0 0 0 0 Williamsburg County 0 0 0 0 0 0 0 0 0 0 York County 0 0 0 0 0 0 0 0 0 0 License and Vehicle Enforcement Division 2 0 0 0 2 5 0 5 0 0 State Museum 0 0 0 0 0 1 0 I 0 0 State Transport Police: Aiken County 0 0 0 0 0 0 0 0 0 0 Greenville County 0 0 0 0 0 0 0 0 0 0 United States Department of Energy, Savannah River Plant 0 0 0 0 0 51) 0 50 0 0 SOUTH DAKOTA Division of Criminal Investigation 38 1 14 20 55 24 9 2 See footnotes at end of table. OFFENSES REPORTED 229 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Stole agency by stale TENNESSEE Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Motor Larceny- vehicle theft theft Arson 1 Alcoholic Beverage Commission Department of Safety State Fire Marshal State Park Rangers: Bicentennial Capitol Mall Big Hill Pond Big Ridge Bledsoe Creek Booker T. Washington Burgess Falls Natural Area Cedars of Lebanon Chickasaw Cove Lake Cumberland Mountain David Crockett David Crockett Birthplace Dunbar Cave Natural Area Edgar Evins Fall Creek Falls Fort Loudon State Historic Area Fort Pillow State Historic Park Frozen Head Natural Area Harrison Bay Henry Horton Hiwassee/Ocoee Rivers Indian Mountain Johnsonville State Historic Area Long Hunter Meeman-Shelby Forest Montgomery Bell Mousetail Landing Natchez Trace Nathan Bedford Forrest Norris Dam Old Stone Fort State Archaeological Area Panther Creek Paris Landing Pickett Pickwick Landing Pinson Mounds State Archaeological Area Radnor Lake Natural Area Red Clay State Historic Park Reelfoot Lake Roan Mountain Rock Island Sgt. Alvin C. York South Cumberland Recreation Area Standing Stone Sycamore Shoals State Historic Area TO. Fuller Tim's Ford Warrior's Path Tennessee Bureau of Investigation Tennessee Department of Revenue Wildlife Resources Agency: Region 1 Region 2 Region 3 Region 4 0 43 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 43 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 4 1 0 0 0 0 0 0 4 2 3 0 3 1 0 0 3 0 0 0 12 1 6 0 0 7 10 6 2 2 1 2 0 0 3 0 12 0 2 1 1 0 4 0 0 0 0 1 0 2 6 0 0 0 0 0 0 3 0 0 0 0 0 0 0 3 I 2 0 3 0 0 0 3 0 0 0 12 1 5 0 0 7 10 6 2 1 0 2 0 0 3 0 X 0 2 0 I 0 4 0 0 0 0 0 0 1 4 0 0 0 0 0 0 1 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. 230 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent FoTvibls A imravatea 1 Property Larceny- vehicle State agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 1 UTAH Parks and Recreation 4 0 0 0 4 43 i 3! 5 0 Wildlife Resources 0 0 0 0 0 0 0 0 0 0 VERMONT State Police: B ethel u u 0 0 U 1 00 76 104 6 1 Bradford 7 2 1 2 2 202 80 1 12 10 1 Brattleboro 8 0 1 0 7 107 51 42 14 2 Middlebury 5 0 3 0 2 207 58 132 17 1 Middlesex 6 0 0 0 6 281 1 13 153 15 5 Rockingham 1 1 0 1 1 9 232 82 130 20 2 Rutland 13 1 1 0 11 546 137 373 36 5 Shaftsbury 7 1 1 0 5 172 72 94 6 4 St. Albans 46 0 12 6 28 860 301 462 97 9 St. Johnsbury 26 5 4 2 15 414 155 225 34 3 Williston 42 1 17 2 22 388 96 276 16 16 Vermont State Police 0 0 0 0 0 0 0 0 0 0 Vermont State Police Headquarters, Bureau of Criminal Investigations 0 0 0 0 0 1 0 0 1 0 VIRGINIA Alcoholic Beverage Control Commission 4 0 0 2 2 40 7 33 0 0 Southside Virginia Training Center g 0 3 0 5 39 0 38 1 0 State Police: Accomack County 2 0 1 0 1 23 4 16 3 0 Albemarle County 4 0 0 1 3 3 0 1 2 0 Alleghany County 1 0 1 0 0 4 0 3 1 0 Appomattox County 1 0 0 0 1 4 0 4 0 0 Arlington County 1 0 0 0 1 1 0 1 0 0 Augusta County 4 0 1 0 3 44 2 27 15 0 Bath County 0 0 0 0 0 4 1 3 0 0 Bedford County 4 0 0 0 4 9 0 6 3 0 Bland County 2 0 0 2 0 1 1 0 11 0 0 Botetourt County 3 0 0 0 3 22 0 15 7 0 Brunswick County 1 0 0 0 1 3 0 3 0 0 Buchanan County 3 0 1 0 2 43 3 33 7 0 Buckingham County 0 0 0 0 0 8 1 5 2 0 Campbell County 3 0 0 0 3 13 0 10 3 0 Caroline County 3 1 0 1 1 34 0 21 13 2 Carroll County 0 0 0 0 0 12 0 12 0 0 Charlotte County 0 0 0 0 0 1 0 1 0 0 Chesapeake 1 0 0 0 1 3 0 2 1 0 Chesterfield County 7 0 0 0 7 12 0 6 6 0 Craig County 0 0 0 0 0 3 1 2 0 0 Culpeper County 4 0 1 0 3 8 2 4 2 0 Cumberland County 1 0 0 0 1 1 0 0 1 0 Dickenson County 1 0 1 0 0 7 1 0 6 0 Dinwiddie County 0 0 0 0 0 4 0 3 1 0 Essex County 0 0 0 0 0 4 2 1 0 Fairfax County 23 0 0 1 22 21 1 14 6 1 Fauquier County 1 1 0 0 0 16 2 11 3 0 Floyd County 3 0 0 1 2 3 0 2 1 0 Fluvanna County 0 0 0 0 0 4 0 3 1 0 Franklin County 1 0 0 0 1 6 0 2 4 0 Frederick County 5 0 0 0 5 23 17 5 0 Fredericksburg 2 0 0 0 2 6 0 4 2 0 Giles County 2 0 0 0 2 6 0 5 1 0 Gloucester County 0 0 0 0 0 8 0 6 2 0 Grayson County 0 0 0 0 0 4 0 4 0 0 Greensville County 2 0 0 0 2 0 0 0 0 0 Halifax County 1 0 0 1 0 13 6 4 0 See footnotes at end of table. OFFENSES REPORTED 231 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' VIRGINIA— Continued State Police — Continued: Hampton 8 0 0 0 8 4 0 3 1 0 Hanover County 2 0 0 0 2 8 0 7 1 0 Harrisonburg l 0 0 0 1 4 0 3 1 0 Henrico County 3 1 0 0 2 16 0 14 2 0 Henry County 1 1 0 0 0 1 1 19 0 9 10 0 Isle of Wight County l 0 0 0 1 3 0 1 2 0 James City County 2 0 0 0 2 4 0 4 0 0 Lee County 0 0 0 0 0 7 0 2 5 6 Loudoun County 2 0 0 1 1 17 1 12 4 0 Louisa County 3 0 1 0 2 7 0 7 0 0 Lunenburg County 5 0 5 0 0 1 0 1 0 0 Madison County 2 1 0 0 1 1 0 1 0 0 Mecklenburg County 2 0 0 0 2 7 0 4 3 0 Montgomery County 5 1 0 1 3 7 0 3 4 0 New Kent County 0 0 0 0 0 6 0 3 3 0 Newport News 6 0 0 0 6 3 0 1 2 0 Norfolk 1 6 0 0 0 16 3 0 1 2 0 Northampton County 0 0 0 0 0 1 1 0 1 1 0 0 Northumberland County 0 0 0 0 0 1 0 1 0 0 Nottoway County 0 0 0 0 0 0 0 0 0 0 Orange County 0 0 0 0 0 3 0 2 1 0 Page County 3 0 0 0 3 5 0 5 0 0 Patrick County 0 0 0 0 0 2 0 1 1 1 Petersburg l 0 0 0 1 2 0 1 1 0 Pittsylvania County 6 2 1 0 3 61 1 16 44 3 Portsmouth 2 0 0 0 2 1 0 0 1 0 Powhatan County 3 0 0 0 3 1 0 1 0 0 Prince Edward County 2 0 0 0 2 0 0 0 0 0 Prince George County l 0 0 0 1 2 0 1 1 0 Prince William County 7 0 1 1 5 21 0 18 3 0 Pulaski County 0 0 0 0 0 3 0 3 0 0 Richmond City 3 0 2 0 1 10 1 6 3 0 Richmond County l 0 0 0 1 2 0 1 1 0 Roanoke City 2 0 0 1 1 9 0 8 1 0 Roanoke County 4 0 0 0 4 9 0 5 4 0 Rockbridge County 2 0 0 0 2 52 0 48 4 0 Rockingham County 7 0 0 1 6 28 1 10 17 0 Russell County 0 0 0 0 0 18 0 14 4 1 Scott County l 0 0 0 1 9 0 4 5 2 Shenandoah County 7 0 0 0 7 16 5 8 3 0 Smyth County 0 () () () 0 9 () 5 4 () Southampton County 0 0 0 0 0 6 0 3 3 0 Spotsylvania County 15 0 0 0 15 22 0 15 7 0 Stafford County 6 0 0 0 6 I 1 0 8 3 1 Surry County 0 0 0 0 0 1 0 1 0 0 Sussex County 4 0 0 0 4 6 0 5 1 0 Tazewell County 1 1 0 0 0 18 2 14 2 0 Virginia Beach 1 1 0 0 0 11 0 0 0 0 0 Warren County 3 0 0 0 3 5 0 3 2 0 Washington County 6 0 0 0 6 1 1 2 6 3 3 Westmoreland County 1 0 0 0 1 1 0 1 0 0 Winchester 1 0 0 1 0 4 0 4 0 1 Wise County 0 0 0 0 0 8 5 2 0 Wythe County 1 0 0 1 0 95 3 87 5 0 York County 0 0 0 0 0 1 0 0 1 0 Virginia State Capitol 4 1 0 1 2 84 4 78 2 0 VEST VIRGINIA )epartment of Natural Resources: Barbour County 0 0 0 0 0 0 0 0 0 0 Berkeley County 0 0 0 0 0 0 0 0 0 0 See footnotes at end of table. 232 CRIME IN THE UNITED STATES Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle State agency by state crime slaughter rape Robbery assault crime Burglary theft theft Arson 1 WEST VIRGINIA— Continued Department of Natural Resources — Continued: Boone County 0 0 0 0 0 0 0 0 0 0 Brooke County 0 0 0 0 0 0 0 0 0 0 Cabell County 0 0 0 0 0 0 0 0 0 0 Calhoun County 0 0 0 0 0 0 0 0 0 0 Doddridge County 0 0 0 0 0 0 0 0 0 0 Gilmer County 0 0 0 0 0 0 0 0 0 0 Grant County 0 0 0 0 0 0 0 0 0 0 Greenbrier County 0 0 0 0 0 l 1 0 0 1 Hampshire County 0 0 0 0 0 0 0 0 0 0 Hancock County 0 0 0 0 0 0 0 0 0 0 Hardy County 0 0 0 0 0 0 0 0 0 0 Harrison County 0 0 0 0 0 0 0 0 0 0 Jackson County 0 0 0 0 0 0 0 0 0 0 Jefferson County 0 0 0 0 0 0 0 0 0 0 Kanawha County 0 0 0 0 0 0 0 0 0 0 Logan County 0 0 0 0 0 0 0 0 0 0 Marion County 0 0 0 0 0 0 0 0 0 0 Marshall County 0 0 0 0 0 0 0 0 0 0 Mason County 0 0 0 0 0 0 0 0 0 0 Mineral County 0 0 0 0 0 0 0 0 0 0 Mingo County 0 0 0 0 0 0 0 0 0 0 Monongalia County 0 0 0 0 0 0 0 0 0 0 Monroe County 0 0 0 0 0 0 0 0 0 0 Morgan County 0 0 0 0 0 0 0 0 0 0 Nicholas County 0 0 0 0 0 0 0 0 0 0 Ohio County 0 0 0 0 0 0 0 0 0 0 Preston County 0 0 0 0 0 0 0 0 0 0 Putnam County 0 0 0 0 0 0 0 0 0 0 Roane County 0 0 0 0 0 0 0 0 0 0 Tucker County 0 0 0 0 0 0 0 0 0 0 Wayne County 0 0 0 0 0 0 0 0 0 0 Webster County 0 0 0 0 0 0 0 0 0 0 Wetzel County 0 0 0 0 0 0 0 0 0 0 Wirt County 0 0 0 0 0 0 0 0 0 0 Wood County 0 0 0 0 0 0 0 0 0 0 State Fire Marshal: Boone County 0 0 0 0 0 0 0 0 0 14 Braxton County 0 0 0 0 0 0 0 0 0 6 Brooke County 0 0 0 0 0 0 0 0 0 1 Cabell County 0 0 0 0 0 0 0 0 0 8 Calhoun County 0 0 0 0 0 0 0 0 0 1 Clay County 0 0 0 0 0 0 0 0 0 3 Fayette County 0 0 0 0 0 0 0 0 0 10 Gilmer County 0 0 0 0 0 0 0 0 0 2 Grant County 0 0 0 0 0 0 0 0 0 2 Hampshire County 0 0 0 0 0 0 0 0 0 8 Hancock County 0 0 0 0 0 0 0 0 0 7 Hardy County 0 0 0 0 0 0 0 0 0 3 Harrison County 0 0 0 0 0 0 0 0 0 5 Jackson County 0 0 0 0 0 0 0 0 0 6 Jefferson County 0 0 0 0 0 0 0 0 0 1 Kanawha County 0 0 0 0 0 0 0 0 0 9 Lincoln County 0 0 0 0 0 0 0 0 0 2 Logan County 0 0 0 0 0 0 0 0 0 3 Marion County 0 0 0 0 0 0 0 0 0 4 Mason County 0 0 0 0 0 0 0 0 0 4 McDowell County 0 0 0 0 0 0 0 0 0 6 Mercer County 0 0 0 0 0 0 0 0 0 1 Mineral County 0 0 0 0 0 0 0 0 0 5 Mingo County 0 0 0 0 0 0 0 0 0 12 Monongalia County 0 0 0 0 0 0 0 0 0 15 Monroe County 0 0 0 0 0 0 0 0 0 1 See footnotes at end of table. OFFENSES REPORTED 233 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 Violent crime Property crime State agency by state Violent crime Murder and non- negligent man- slaughter Forcible rape Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft Arson' WEST VIRGINIA— Continued State Fire Marshal — Continued: Nicholas County 0 0 0 Ohio County 0 0 0 Preston County 0 0 0 Putnam County 0 0 0 Raleigh County 0 0 0 Randolph County 0 0 0 Ritchie County 0 0 0 Tucker County 0 0 0 Upshur County 0 0 0 Wayne County 0 0 0 Webster County 0 0 0 Wetzel County 0 0 0 Wirt County 0 0 0 Wood County 0 0 0 Wyoming County 0 0 0 :ate Police: Beckley 1 5 0 0 Berkeley Springs 6 0 0 Bridgeport 27 2 6 Buckeye 8 0 0 Buckhannon 1 3 2 3 Clay 10 1 0 Danville 14 0 0 Elizabeth 7 0 0 Elkins 24 1 3 Franklin 7 0 2 Gauley Bridge 1 0 0 Gilbert 19 0 0 Glenville 3 0 0 Grafton 4 0 0 Grantsville 6 2 0 Hamlin 50 0 0 Harrisville 13 0 0 Hinton 1 0 0 Hundred 3 0 0 Huntington 8 0 0 Kearneysville 28 1 1 Keyser 22 0 0 Kingwood 8 0 1 Lewisburg 15 1 0 Logan 105 0 2 Martinsburg 91 2 1 Moorefield 4 0 0 Morgan town 22 0 5 Moundsville 3 0 0 New Cumberland 2 0 0 Oak Hill 4 0 1 Paden City 3 0 0 Parkersburg 3 0 0 Parsons 2 0 0 Philippi 10 0 2 Point Pleasant 7 0 3 Princeton 36 1 0 Quincy 13 0 0 Rainelle 5 0 0 Ripley 9 1 4 Romney 20 1 1 South Charleston 17 0 1 Spencer 8 0 0 Summers ville 6 0 0 Sutton 9 0 0 Teays Valley 10 0 1 See footnotes at end of table. 234 CRIME IN THE UNITED STATES 0 0 0 0 0 0 5 0 0 0 0 0 0 4 0 0 0 0 0 0 4 0 0 0 0 0 0 3 0 0 0 0 0 0 12 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 4 0 0 0 0 0 0 9 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0 0 12 0 15 286 56 195 35 0 0 6 1 14 41 60 13 1 1 18 194 16 166 12 1 1 7 62 23 33 6 1 0 8 103 32 63 8 3 1 8 62 26 21 15 3 1 13 157 27 I 19 1 1 1 0 7 54 17 30 7 0 1 19 323 67 235 21 3 1 4 35 8 22 5 1 0 1 44 13 27 4 1 1 18 95 25 53 17 0 0 3 22 1 1 9 2 1 0 4 23 9 14 0 0 1 3 45 13 31 1 0 3 47 378 117 197 64 8 0 13 75 14 50 1 1 1 0 1 52 24 21 7 1 0 3 36 13 20 3 0 1 7 481 69 386 26 0 6 20 347 73 233 41 1 2 20 229 75 139 15 2 2 5 89 22 53 14 1 2 12 103 16 82 5 1 12 91 754 167 477 1 10 1 1 12 76 769 199 471 99 3 0 4 94 30 55 9 0 1 16 497 131 297 69 6 0 3 33 6 26 1 0 0 2 7 3 4 0 0 0 3 131 40 80 11 0 0 3 29 5 23 1 0 0 3 168 37 110 21 2 0 2 33 5 27 1 0 0 8 66 18 45 3 2 0 4 78 13 48 17 0 7 28 554 131 381 42 3 1 12 241 53 156 32 4 0 5 46 12 31 3 0 0 4 65 17 40 8 0 1 17 181 81 83 17 3 0 16 937 82 801 54 2 0 8 27 8 17 2 0 1 5 73 26 37 10 2 2 7 80 8 58 14 1 1 8 125 91 12 0 Table 1 1 Offenses Known to Law Enforcement by State Agency by State, 2003 — Continued by Federal Agency, 2003 State agency by state Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Property crime Burglary Larceny- theft Motor vehicle theft Arson' WEST VIRGINIA— Continued State Police — Continued: Union 13 (1 1 2 10 111 42 65 4 0 Upperglade 16 (1 1 0 15 114 37 68 9 1 Wayne 56 0 0 4 52 436 150 226 60 3 Welch 13 (1 1 2 10 88 39 37 12 1 Wellsburg 7 0 0 0 7 17 3 11 3 0 Weston g 1 0 1 6 69 2 57 10 1 West Union II) 0 3 0 7 31 11 16 4 1 Wheeling 8 0 1 1 6 56 8 44 4 1 Whitesville 4 (I 0 0 4 45 15 29 1 1 Williamson 7 0 0 0 7 170 46 93 31 2 Winfield 7 (1 0 0 7 57 5 44 8 0 State Police, Bureau of Criminal Investigation: Beckley 0 0 0 0 0 0 0 0 0 0 Buckhannon 0 0 0 0 0 0 I) 0 0 0 Charleston 0 0 0 0 0 0 0 0 0 0 Fairmont 0 0 0 0 0 0 0 0 0 0 State Police, Parkway Authority: Fayette County 0 0 0 0 0 4 0 4 0 0 Kanawha County 1 0 0 0 1 2 I) 0 2 0 Mercer County 0 0 0 0 0 0 0 0 0 0 Raleigh County 0 0 0 0 0 4 I) 4 0 0 WISCONSIN Capitol Police 0 (1 0 0 0 187 3 184 0 U.S. TERRITORIES American Samoa 125 3 19 1 102 317 196 110 11 0 FEDERAL AGENCIES National Institutes of Health 3 0 0 0 3 191 10 181 0 0 United States Department of the Interior: Bureau of Indian Affairs 10,217 148 613 258 9,198 17,400 4,690 9,769 2,941 1,029 Bureau of Land Management 14 3 0 0 11 690 16 631 43 86 Bureau of Reclamation 0 0 0 0 0 6 I) 4 2 0 Fish and Wildlife Service 17 3 2 3 9 391 107 223 61 1 16 National Park Service 367 8 48 65 246 3,795 468 3,192 135 89 1 If the FBI does not receive 12 months of arson data from either the agency or the state, no arson will be shown. 2 Limited data for 2003 were available for Illinois and Kentucky. 1 Due to changes in reporting practices, annexations, and/or incomplete data, figures are not comparable to previous years' data. 4 Figures reported are the number of crimes occurring in New Jersey. 5 Figures reported are the number of crimes occurring in New York. NOTE: Tables 10 and 1 1 have been restructured. See Appendix I, Table Methodology. OFFENSES REPORTED 235 Table 12 Crime Trends by Population Group, 2002-2003 [2003 estimated population] Population group TOTAL ALL AGENCIES: 12,492 agencies; population 252,996,723 2002 2003 Percent change Murder and non- negligent Violent man- crime slaughter 1,305,648 1,261,249 -3.4 14,907 15,126 +1.5 Violent crime Forcible rape 1 82,457 81,010 -1.8 Robbery 394,046 386,588 -1.9 Aggravated assault 814,238 778,525 -4.4 Property crime 9,356,387 9,341,264 -0.2 Property crime Burglary 1,913,066 1,915,886 +0.1 Larceny- theft 6,283,249 6,252,220 -0.5 Motor vehicle theft Arson 1,160,072 1,173,158 +1.1 72,773 68,168 -6.3 TOTAL CITIES: 8,835 cities; population 170,426,855 2002 2003 Percent change 1,047,075 1,006,706 -3.9 11,671 11,990 +2.7 60,640 59,831 -1.3 347,430 339,703 -2.2 627,334 595,182 -5.1 7,374,784 7,354,091 -0.3 1,399,809 1,402,911 +0.2 5,030,672 5,001,975 -0.6 944,303 949,205 +0.5 53,985 50,331 -6.8 GROUP I 68 cities, 250,000 and over; population 51,730,815 2002 2003 Percent change 533,494 502,307 -5.8 6,843 6,853 +0.1 21,474 20,636 -3.9 203,701 197,333 -3.1 301,476 277,485 -8.0 2,674,115 2,642,504 -1.2 508,509 506,464 -0.4 1,685,981 1,662,304 -1.4 479,625 473,736 -1.2 23,587 21,449 -9.1 10 cities, 1,000,000 and over; population 24,680,715 2002 2003 Percent change 257,755 240,927 -6.5 3,090 3,094 +0.1 7,385 7,188 -2.7 102,672 99,750 -2.8 144,608 130,895 -9.5 1,030,727 1,022,286 -0.8 188,526 190,158 +0.9 645,634 640,224 -0.8 196,567 191,904 -2.4 7,904 7,367 -6.8 21 cities, 500,000 to 999,999; population 13,929,178 2002 2003 Percent change 141,583 134,207 -5.2 1,955 1,935 -1.0 7,071 6,442 -8.9 49,717 49,292 -0.9 82,840 76,538 -7.6 846,416 848,378 +0.2 163,156 163,343 +0.1 540,894 538,770 -0.4 142,366 146,265 +2.7 7,715 6,733 -12.7 37 cities, 250,000 to 499,999; population 13,120,922 2002 2003 Percent change 134,156 127,173 -5.2 1,798 1,824 + 1.4 7,018 7,006 -0.2 51,312 48,291 -5.9 74,028 70,052 -5.4 796,972 771,840 -3.2 156,827 152,963 -2.5 499,453 483,310 -3.2 140,692 135,567 -3.6 7,968 7,349 -7.8 GROUP II 165 cities, 100,000 to 249,999; population 24,549,216 2002 2003 Percent change 151,293 148,070 -2.1 1,805 1,927 +6.8 9,738 9,616 -1.3 52,209 51,176 -2.0 87,541 85,351 -2.5 1,211,527 1,211,495 237,239 238,632 +0.6 815,059 807,682 -0.9 159,229 165,181 +3.7 8,978 8,208 -8.6 GROUP III 375 cities, 50,000 to 99,999; population 26,025,870 2002 2003 Percent change 125,591 125,010 -0.5 1,194 1,193 -0.1 9,310 9,161 -1.6 38,318 37,656 -1.7 76,769 77,000 +0.3 1,050,002 1,045,056 -0.5 204,337 203,889 -0.2 725,319 719,184 -0.8 120,346 121,983 + 1.4 6,783 6,758 -0.4 GROUP IV 698 cities, 25,000 to 49,999; population 24,299,730 2002 2003 Percent change 90,128 88,291 -2.0 758 800 +5.5 7,542 7,686 + 1.9 23,911 23,911 0.0 57,917 55,894 -3.5 873,952 877,347 +0.4 164,932 166,126 +0.7 629,457 630,482 +0.2 79,563 80,739 + 1.5 5,564 5,365 -3.6 See footnotes at end of table. 236 CRIME IN THE UNITED STATES Table 12 Crime Trends by Population Group, 2002-2003 — Continued [2003 estimated population] Violent crime Properly crime Population group Violent crime Murder and non- negligent man- slaughter Forcible rape 1 Robbery Aggravated assault Property crime Burglary Larceny- theft Motor vehicle theft Arson GROUP V 1,543 cities, 10,000 to 24,999; population 24,398,402 2002 2003 Percent change 79,099 77,817 -1.6 597 648 +8.5 7,085 7,008 -1.1 18,194 18,439 + 1.3 53,223 51,722 -2.8 836.487 840,021 +0.4 153,840 154,925 +0.7 621,367 622,529 +0.2 61,280 62,567 +2.1 4,604 4,611 +0.2 GROUP VI 5,986 cities, under 10,000; population 19,422,822 2002 2003 Percent change 67,470 65,211 -3.3 474 569 +20.0 5,491 5,724 +4.2 11,097 11,188 +0.8 50,408 47,730 -5.3 728,701 737,668 +1.2 130,952 132,875 +1.5 553,489 559,794 + 1.1 44,260 44,999 + 1.7 4,469 3,940 -11.8 METROPOLITAN COUNTIES 1,529 agencies; population 59,972,708 2002 2003 Percent change 208,017 205,840 -1.0 2,465 2,383 -3.3 16,392 15,893 -3.0 42,889 43,154 +0.6 146,271 144,410 -1.3 1,581,763 1,584,873 +0.2 381,137 381,832 +0.2 1,015,094 1,010,014 -0.5 185,532 193,027 +4.0 15,169 14,238 -6.1 NONMETROPOLITAN COUNTIES 2 2,128 agencies; population 22,597,160 2002 2003 Percent change 50,556 771 5,425 3,727 40,633 399,840 132,120 237,483 30,237 3,619 48,703 753 5,286 3,731 38,933 402,300 131,143 240,231 30,926 3,599 -3.7 -2.3 -2.6 +0.1 -4.2 +0.6 -0.7 + 1.2 +2.3 -0.6 SUBURBAN AREA 1 6,661 agencies; population 108,182,452 2002 2003 Percent change 352,427 347,990 -1.3 3,540 3,571 +0.9 28,115 27,880 -0.8 79,103 79,891 + 1.0 241,669 236,648 -2.1 3,132,492 3,148,355 +0.5 657,177 2,153,317 662,089 2,152,943 +0.7 * 321,998 333,323 +3.5 24,727 23,316 -5.7 1 Forcible rape figures furnished by the state Uniform Crime Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines; therefore, the figures were excluded from the forcible rape and violent crime categories. 2 Includes state police agencies that report aggregately for the entire state. 1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area (see Appendix III). Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. *Less than one-tenth of 1 percent. OFFENSES REPORTED 237 Table 13 Crime Trends by Suburban and Nonsuburban Cities 1 by Population Group, 2002-2003 [2003 estimated population] Population group Suburban cities Violent crime Murder and non- negligent man- slaughter Violent crime Forcible rape Robbery Aggravated assault Property crime Properly crime Burglary Motor Larceny- vehicle theft theft Arson TOTAL SUBURBAN CITIES: 5,132 cities; papulation 48,209,744 2002 2003 Percent change 144,410 142,150 -1.6 1,075 1,188 +10.5 11,723 11,987 +2.3 36,214 36,737 +1.4 95,398 92,238 -3.3 1,550,729 1,563,482 +0.8 276,040 280,257 +1.5 1,138,223 1,142,929 +0.4 136,466 140,296 +2.8 9,558 9,078 -5.0 GROUP IV 525 cities, 25,000 to 49,999; population 18,120,147 2002 2003 Percent change 54,246 53,735 -0.9 428 478 + 11.7 4,334 4,418 +1.9 15.625 15,666 +0.3 33,859 33,173 -2.0 553,379 556,421 +0.5 102,785 103,168 +0.4 391,911 392,550 +0.2 58,683 60,703 +3.4 3,536 3,443 -2.6 GROUP V 1,151 cities, 10,000 to 24,999; population 18,308,820 2002 2003 Percent change 51,524 388 4,314 12,819 34,003 539.921 96,915 396,375 46,631 3,073 51,015 387 4,364 13,076 33,188 542,690 98,267 396,594 47,829 3,145 -1.0 -0.3 +1.2 +2.0 -2.4 +0.5 + 1.4 +0.1 +2.6 +2.3 GROUP VI 3,456 cities, under 10,000; population 11,780,777 2002 2003 Percent change 38,640 37,400 -3.2 259 323 +24.7 3,075 3,205 +4.2 7,770 7,995 +2.9 27,536 25,877 -6.0 457,429 464,371 + 1.5 76,340 78,822 +3.3 349,937 353,785 + 1.1 31,152 31,764 +2.0 2,949 2,490 -15.6 Nonsuburban cities TOTAL NONSUBURBAN CITIES: 3,095 cities; population 19,911,210 2002 2003 Percent change 92,287 89,169 -3.4 754 829 +9.9 8,395 8,431 +0.4 16,988 16,801 -1.1 66,150 63,108 -4.6 888,411 891,554 +0.4 173,684 173,669 666,090 669,876 +0.6 48,637 48,009 -1.3 5,079 4,838 -4.7 GROUP IV 173 cities, 25,000 to 49,999; population 6,179,583 2002 2003 Percent change 35,882 330 3,208 8,286 24,058 320,573 62,147 237,546 20,880 2,028 34,556 322 3,268 8,245 22,721 320,926 62,958 237,932 20,036 1,922 -3.7 -2.4 +1.9 -0.5 -5.6 +0.1 + 1.3 +0.2 -4.0 -5.2 GROUP V 392 cities, 10,000 to 24,999; population 6,089,582 2002 2003 Percent change 27,575 26,802 -2.8 209 261 +24.9 2,771 2,644 -4.6 5,375 5,363 -0.2 19,220 18,534 -3.6 296,566 297,331 +0.3 56,925 56,658 -0.5 224,992 225,935 +0.4 14,649 14,738 +0.6 1,531 1,466 -4.2 GROUP VI 2,530 cities, under 10,000; population 7,642,045 2002 2003 Percent change 28,830 27,811 -3.5 215 246 +14.4 2,416 2,519 +4.3 3,327 3,193 -4.0 22,872 21,853 -4.5 271,272 273,297 +0.7 54.612 54,053 -1.0 203,552 206,009 + 1.2 13,108 13,235 + 1.0 1,520 1,450 -4.6 1 Suburban includes law enforcement agencies in cities with less than 50,000 inhabitants that are within a Metropolitan Statistical Area (see Appendix III). Suburban excludes all metropolitan agencies associated with a principal city. Nonsuburban includes law enforcement agencies in cities with less than 50,000 inhabitants that are not associated with a Metropolitan Statistical Area. *Less than one-tenth of 1 percent. 238 CRIME IN THE UNITED STATES Table 14 Crime Trends by Metropolitan and Nonmetropolitan Counties 1 by Population Group, 2002-2003 [2003 estimated population] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle Population group crime slaughter rape Robbery assault crime Burglary theft theft Arson METROPOLITAN COUNTIES 100,000 and over 134 counties; population 35,752,492 2002 143,376 1,599 9,761 35,685 96,331 1,048,012 233,946 684,701 129,365 10,244 2003 143,279 1,614 9,608 35,957 96,100 1,048,133 235,195 679,991 132,947 9,611 Percent change -0.1 +0.9 -1.6 +0.8 -0.2 * +0.5 -0.7 +2.8 -6.2 25,000 to 99,999 396 counties; population 20,216,576 2002 46,401 594 5,002 5,129 35,676 400,658 115,120 252,362 33,176 3,292 2003 45,031 560 4,705 4,890 34,876 400,805 114,875 252,063 33,867 3,056 Percent change -3.0 -5.7 -5.9 -4.7 -2.2 -0.2 -0.1 +2.1 -7.2 Under 25,000 999 counties; population 4,003,640 2002 2003 Percent change 18,240 17,530 -3.9 272 209 -23.2 1,629 1,580 -3.0 2,075 2,307 +11.2 14,264 13,434 -5.8 133,093 135,935 +2.1 32,071 31,762 -1.0 78,031 77,960 -0.1 22,991 26,213 +14.0 1,633 1,571 -3.8 NONMETROPOLITAN COUNTIES 25,000 and over 253 counties; population 9,869,471 2002 22,127 310 2,231 2,024 17,562 179,029 61,097 105,240 12,692 1,471 2003 21,104 335 2,063 1,953 16,753 180,228 60,559 106,776 12,893 1,525 Percent change -4.6 +8.1 -7.5 -3.5 -4.6 +0.7 -0.9 +1.5 +1.6 +3.7 10,000 to 24,999 489 counties; population 7,867,149 2002 15,239 269 1,414 891 12,665 117,217 40,152 68,465 8,600 995 2003 14,649 235 1,436 928 12,050 118,029 40,214 69,021 8,794 880 Percent change -3.9 -12.6 +1.6 +4.2 -4.9 +0.7 +0.2 +0.8 +2.3 -11.6 Under 10,000 1,234 counties; population 3,714,776 2002 9,661 134 1,403 430 7,694 68,293 21,740 40,848 5,705 908 2003 9,009 127 1,321 398 7,163 66,573 21,519 39,030 6,024 900 Percent change -6.7 -5.2 -5.8 -7.4 -6.9 -2.5 -1.0 -4.5 +5.6 -0.9 1 Metropolitan counties include sheriffs and county law enforcement agencies associated with a Metropolitan Statistical Area (see Appendix III). Nonmetropolitan counties include sheriffs and county law enforcement agencies that are not associated with a Metropolitan Statistical Area. The offenses from state police agencies are not included in this table. *Less than one-tenth of 1 percent. OFFENSES REPORTED 239 o o 33 m c z — i m D m 03 Table 15 Crime Trends Breakdown of Offenses Known by Population Group, 2002-2003 [2003 estimated population] Population group TOTAL ALL AGENCIES: 12,433 agencies; population 236,435,640 2002 2003 Percent change TOTAL CITIES: 8,796 cities; population 155,448,122 2002 2003 Percent change Forcible rape Assault Rape by to rape- force attempts 71,249 70,100 -1.6 51,448 50,865 -1.1 7,066 6,926 -2.0 5,524 5,415 -2.0 Robbery Knife or cutting instrument 139,245 137,023 -1.6 118,687 116,323 -2.0 Other weapon Strong- arm 29,362 29,234 -0.4 25,641 25,404 -0.9 31,176 132,955 30,990 130,914 -0.6 -1.5 26,189 116,585 25,991 114,548 -0.8 -1.7 Aggravated assault Burglary Motor vehicle theft Knife or Hands, cutting Other fists. Firearm instrument weapon feet, etc. Attempted Trucks Forcible Unlawful forcible and entry entry entry Autos buses 136,866 134,222 -1.9 106,355 104,183 -2.0 131,163 261,459 200,356 1,126,642 549,067 117,365 787,120 201,290 128,353 252,415 188,801 1,123,373 560,962 114,202 799,367 200,805 -2.1 -3.5 -5.8 102,315 193,269 143,887 99,662 185,151 135,119 -0.3 +2.2 -2.6 -4.2 -6.1 808,738 394,506 807,772 403,552 -0.1 +2.3 -2.7 +1.6 -0.2 88,019 647,594 159,480 85,739 655,502 157,589 -2.6 +1.2 -1.2 82,953 89,616 +8.0 53,536 58,214 +8.7 Other vehicles Structure Mobile Other 27,075 26,023 -3.9 20,074 19,286 -3.9 22,422 17,093 20,890 15,843 -6.8 -7.3 15,686 12,467 14,454 11,622 -7.9 -6.8 GROUP I 62 cities, 250,000 and over; population 39,173,593 2002 16,746 2,200 66,397 12,853 12,297 58,160 57,484 43,471 83,460 45,663 297,722 110,671 24,448 297,236 95,583 20,918 7,455 7,967 3,736 2003 16,054 2,055 64,712 12,655 12,474 56,293 55,252 41,637 78,605 40,962 296,737 113,330 23,719 295,502 94,099 23,942 7,098 7,389 3,166 Percentchange -4.1 -6.6 -2.5 -1.5 +1.4 -3.2 -3.9 -4.2 -5.8 -10.3 -0.3 +2.4 -3.0 -0.6 -1.6 +14.5 -4.8 -7.3 -15.3 8 cities, 1,000,000 and over; population 13,684,275 2002 4,870 826 25,949 5,544 4,508 20,910 22,239 15,111 25,348 22,734 91,761 34,490 6,621 97,763 38,496 8,029 2,258 3,423 1,201 2003 4,703 876 25,562 5,670 4,465 20,762 21,109 14,534 24,193 20,022 93,610 36,110 7,081 99,213 37,745 8,539 2,194 3,160 1,066 Percentchange -3.4 +6.1 -1.5 +2.3 -1.0 -0.7 -5.1 -3.8 -4.6 -11.9 +2.0 +4.7 +6.9 +1.5 -2.0 +6.4 -2.8 -7.7 -11.2 20 cities, 500,000 to 999,999; population 13,284,624 2002 6,133 760 20,491 3,755 4,212 16,545 18,651 14,912 29,942 10,691 108,735 36,183 9,479 97,258 30.862 7,690 2,180 1,602 1,115 2003 5,608 630 20,597 3,706 4,605 16,045 18,193 14,390 28,252 9,333 108,335 38,267 8,952 97,796 31,848 9,764 2,203 1,487 787 Percentchange -8.6 -17.1 +0.5 -1.3 +9.3 -3.0 -2.5 -3.5 -5.6 -12.7 -0.4 +5.8 -5.6 +0.6 +3.2 +27.0 +1.1 -7.2 -29.4 34 cities, 250,000 to 499,999; population 12,204,694 2002 5,743 614 19,957 3,554 3,577 20,705 16,594 13,448 28,170 12,238 97,226 39,998 8,348 102,215 26,225 5,199 3,017 2,942 1,420 2003 5,743 549 18,553 3,279 3,404 19,486 15,950 12,713 26,160 11,607 94,792 38,953 7,686 98,493 24,506 5,639 2,701 2,742 1,313 Percentchange 0.0 -10.6 -7.0 -7.7 -4.8 -5.9 -3.9 -5.5 -7.1 -5.2 -2.5 -2.6 -7.9 -3.6 -6.6 +8.5 -10.5 -6.8 -7.5 See footnotes at end of table. Table 15 Crime Trends Breakdown of Offenses Known by Population Group, 2002-2003 — Continued [2003 estimated population] Population group GROUP II Forcible rape Assault Rape by to rape- force attempts Robbery Aggravated assault Knife or Knife or Hands, cutting Other Strong- cutting Other fists, instrument weapon arm Firearm instrument weapon feet, etc. Burglary Motor vehicle theft Attempted Trucks Forcible Unlawful forcible and Other entry entry entry Autos buses vehicles Structure Mobile Other 153 cities, 100,000 to 249,999; population 22,689,730 2002 2003 Percent change 8,132 814 7,855 1,052 -3.4 +29.2 19,145 18,951 -1.0 4,329 4,327 4,623 18,609 4,378 18,056 -5.3 -3.0 15,552 15,610 +0.4 15,754 15,680 -0.5 31,720 30,501 -3.8 16,270 15,070 -7.4 136,077 134,752 -1.0 59,701 62,222 +4.2 14,752 14,265 -3.3 112,525 1 17,768 +4.7 24,789 24,656 -0.5 7,831 8,308 +6.1 3,369 3,207 -4.8 2,747 2,374 -13.6 2,065 1,887 -8.6 GROUP III 371 cities, 50,000 to 99,999; population 25,735,258 2002 8,362 718 14,054 3,606 3,659 16,538 12,679 14,547 28,134 19,997 120,125 65,635 15,479 94,762 15,363 7,516 2,873 1,940 1,812 2003 8,210 724 13,666 3,483 3,594 16,470 12,855 14,747 28,176 20,057 118,750 66,547 15,380 96,137 15,391 8,051 2,792 1,842 1,987 Percent change -1.8 +0.8 -2.8 -3.4 -1.8 -0.4 +1.4 +1.4 +0.1 +0.3 -1.1 +1.4 -0.6 +1.5 +0.2 +7.1 -2.8 -5.1 +9.7 GROUP IV 694 cities, 25,000 to 49,999; population 24,134,633 2002 6,854 604 8,231 2,316 2,559 10,481 2003 7,094 541 8,386 2,261 2,483 10,505 Percent change +3.5 -10.4 +1.9 -2.4 -3.0 +0.2 8,147 8,052 -1.2 10,889 10,681 -1.9 19,194 18,558 -3.3 19,359 18,336 -5.3 93,693 94,971 +1.4 56,057 57,071 + 1.8 13,051 12,350 -5.4 62,677 64,297 +2.6 10,032 9,535 -5.0 6,122 6,352 +3.8 2,193 2,221 + 1.3 1,321 1,231 -6.8 1,888 1,773 -6.1 GROUP V O T] Tl m z co m CO 33 m ~D o m a 1,540 cities, 10,000 to 24,999; population 24,341,351 2002 6,480 591 6,827 1,540 1,956 7,836 6,762 9,499 17,196 19,742 88,317 53,887 10,996 47,749 7,696 5,666 2,136 928 1,440 2003 6,426 559 6,546 1,663 1,835 8,354 6,940 9,442 16,387 18,930 88,678 54,641 11,011 48,287 7,908 6,193 2,043 955 1,542 Percent change -0.8 -5.4 -4.1 +8.0 -6.2 +6.6 +2.6 -0.6 -4.7 -4.1 +0.4 + 1.4 +0.1 + 1.1 +2.8 +9.3 -4.4 +2.9 +7.1 GROUP VI 5,976 cities, under 10,000; population 19,373,557 2002 2003 Percent change 4,874 5,226 +7.2 597 484 -18.9 4,033 4,062 +0.7 997 1,015 + 1.8 1,095 1,227 +12.1 4,961 4,870 -1.8 5,731 5,474 -4.5 8,155 7,475 -8.3 13,565 12,924 -4.7 22,856 21,764 -4.8 72,804 73,884 +1.5 48,555 49,741 +2.4 9,293 9,014 -3.0 32,645 33,511 +2.7 6,017 6,000 -0.3 5,483 5,368 -2.1 2,048 1,925 -6.0 783 663 -15.3 1,526 1,267 -17.0 4^ See footnotes at end of table. to O 33 m c z — i m D m 03 Table 15 Crime Trends Breakdown of Offenses Known by Population Group, 2002-2003 — Continued [2003 estimated population] Forcible rape Robbery Aggravated assault Burglary Motor vehicle theft Population group METROPOLITAN COUNTIES 1,516 agencies; population 58,526,401 2002 2003 Percent change Assault Knife or Rape by to rape- cutting Other Strong- force attempts Firearm instrument weapon arm Knife or Hands, cutting Other fists. Firearm instrument weapon feet, etc. Attempted Forcible Unlawful forcible entry entry entry Autos 14,740 14,351 -2.6 1,208 1,135 -6.0 18,965 19,176 +1.1 3,410 3,502 +2.7 4,540 4,513 -0.6 15,016 14,997 -0.1 23,417 23,452 +0.1 23,010 22,978 -0.1 56,430 55,716 -1.3 40,744 38,838 -4.7 232,523 232,530 115,255 116,739 + 1.3 22,722 22,031 -3.0 121,829 125,927 +3.4 Trucks and buses 36,393 37,514 +3.1 Other vehicles 22,431 24,303 +8.3 Structure Mobile Other 5,140 4,960 -3.5 5,860 5,522 -5.8 3,792 3,374 -11.0 NONMETROPOLITAN COUNTIES 2,121 agencies; population 22,461,117 2002 5,061 334 1,593 311 447 1,354 7,094 5,838 11,760 15,725 85,381 39,306 6,624 17,697 5,417 6,986 1,861 876 834 2003 4,884 376 1,524 328 486 1,369 6,587 5,713 11,548 14,844 83,071 40,671 6,432 17,938 5,702 7,099 1,777 914 847 Percent change -3.5 +12.6 -4.3 +5.5 +8.7 +1.1 -7.1 -2.1 -1.8 -5.6 -2.7 +3.5 -2.9 +1.4 +5.3 +1.6 -4.5 +4.3 +1.6 SUBURBAN AREA 1 6,642 agencies; population 106,629,964 2002 25,359 2,300 32,261 6,633 8,338 30,856 34,597 38,881 87,057 78,368 385,720 215,660 44,659 229,248 53,347 34,290 9,093 7,896 7,193 2003 25,378 2,077 32,493 6,869 8,301 31,203 34,806 38,580 84,918 74,815 387,840 219,852 43,409 236,968 54,199 36,612 8,797 7,501 6,509 Percent change +0.1 -9.7 +0.7 +3.6 -0.4 +1.1 +0.6 -0.8 -2.5 -4.5 +0.5 +1.9 -2.8 +3.4 +1.6 +6.8 -3.3 -5.0 -9.5 1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area (see Appendix III). Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. *Less than one-tenth of 1 percent. Table 16 Rate: Number of Crimes per 100,000 Inhabitants by Population Group, 2003 [2003 estimated population] Population group TOTAL ALL AGENCIES: 12,062 agencies; papulation 249,150,621 Number of offenses known Rate Violent crime 1,257,813 504.8 Murder and non- negligent man- slaughter 15,044 6.0 Violent crime Property crime Motor Forcible Aggravated Property Larceny- vehicle rape' Robbery assault crime Burglary theft theft 81,885 32.9 385,310 154.6 775,574 9,275,118 1,900,771 6,206,646 1,167,701 311.3 3,722.7 762.9 2,491.1 468.7 TOTAL CITIES: 8,608 cities; population 168,597,746 Number of offenses known Rate 1,006,527 597.0 11,947 7.1 60,844 36.1 339,097 201.1 594,639 7,321,803 1,398,467 4,976,461 946,875 352.7 4,342.8 829.5 2,951.7 561.6 GROUP I 69 cities, 250,000 and over; population 52,354,586 Number of offenses known Rate 506,516 967.5 6,895 13.2 21,675 41.4 198,788 379.7 279,158 2,667,526 512,869 1,677,767 476,890 533.2 5,095.1 979.6 3,204.6 910.9 10 cities, 1,000,000 and over; population 24,680,715 Number of offenses known Rate 241,883 980.0 3,094 12.5 8,144 33.0 99,750 404.2 130,895 530.4 1,022,286 190,158 4,142.0 770.5 640,224 191,904 2,594.0 777.5 22 cities, 500,000 to 999,999; population 14,552,949 Number of offenses known Rate 137,460 944.6 1,977 13.6 6,525 44.8 50,747 348.7 78,211 537.4 873,400 6,001.5 169,748 1,166.4 554,233 149,419 3,808.4 1,026.7 37 cities, 250.000 to 499,999; population 13,120,922 Number of offenses known Rate 127.173 969.2 1,824 13.9 7,006 48,291 70.052 771,840 152,963 483,310 135,567 53.4 368.0 533.9 5,882.5 1,165.8 3,683.5 1,033.2 GROUP II 163 cities, 100,000 to 249,999; population 24,301,959 Number of offenses known Rate 149,752 616.2 1,923 7.9 9,840 40.5 51,000 209.9 86.989 358.0 1,202,702 4,949.0 237,168 975.9 801,401 164,133 3,297.7 675.4 GROUP III 367 cities, 50,000 to 99,999; population 25,518,121 Number of offenses known Rate 123,182 482.7 1,174 4.6 9,074 35.6 37,093 145.4 75.841 297.2 1,028,823 4,031.7 201,066 787.9 707,116 120,641 2,771.0 472.8 GROUP IV 679 cities, 25,000 to 49,999; population 23,607,380 Number of offenses known Rate 86.523 366.5 785 3.3 7.589 32.1 23,463 99.4 54.686 231.6 861,991 3,651.4 162,387 687.9 620,181 2,627.1 79,423 336.4 GROUP V 1,520 cities, 10,000 to 24,999; population 24,022,656 Number of offenses known Rate 77.180 321.3 647 2.7 6.998 29.1 18,388 76.5 51,147 212.9 838,332 3,489.8 155,162 645.9 620,597 2,583.4 62,573 260.5 See footnotes at end of table. OFFENSES REPORTED 243 Table 16 Rate: Number of Crimes per 100,000 Inhabitants by Population Group, 2003 — Continued [2003 estimated population] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle Population group crime slaughter rape 1 Robbery assault crime Burglary theft theft GROUP VI 5,810 cities, under 10,000; population 18,793,044 Number of offenses known Rate 63,374 337.2 523 2.8 5,668 30.2 10,365 55.2 46,818 249.1 722,429 3,844.1 129,815 690.8 549,399 2,923.4 43,215 230.0 METROPOLITAN COUNTIES 1,426 agencies; population 58,949,265 Number of offenses known Rate 203,858 345.8 2,369 4.0 15,771 26.8 42,607 72.3 143,111 242.8 1,562,687 2,650.9 376,021 637.9 995,980 1,689.6 190,686 323.5 NONMETROPOLITAN COUNTIES 2 2,028 agencies; population 21,603,610 Number of offenses known Rate 47,428 219.5 728 3.4 5,270 24.4 3,606 16.7 37,824 175.1 390,628 1,808.2 126,283 584.5 234,205 1,084.1 30,140 139.5 SUBURBAN AREA' 6,439 agencies; population 105,867,123 Number of offenses known Rate 342,693 323.7 3,511 3.3 27,619 26.1 78,240 73.9 233,323 220.4 3,098,628 2,926.9 651,701 615.6 2,118,878 2,001.5 328,049 309.9 1 Forcible rape figures furnished by the state Uniform Crime Reporting (UCR) Program administered by the Illinois State Police were not in accordance with national UCR guidelines; therefore, the figures were estimated for inclusion in the forcible rape and violent crime categories. See Appendix I for details. 2 Includes state police agencies that report aggregately for the entire state. 3 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area (see Appendix III). Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. 244 CRIME IN THE UNITED STATES Table 17 Rate: Number of Crimes per 100,000 Inhabitants by Suburban and Nonsuburban Cities 1 by Population Group, 2003 [2003 estimated population] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle Population group crime slaughter rape Robbery assault crime Burglary theft theft Suburban cities TOTAL SUBURBAN CITIES: 5,013 cities; population 46,917,858 Number of offenses known 138,835 1,142 11,848 35,633 90,212 1,535,941 275,680 1,122,898 137,363 Rate 295.9 2.4 25.3 75.9 192.3 3,273.7 587.6 2,393.3 292.8 GROUP IV 509 cities, 25,000 to 49,999; population 17,546.364 Number of offenses known 52,456 466 4,350 15,375 32,265 544,137 100,933 383,661 59,543 Rate 299.0 2.7 24.8 87.6 183.9 3,101.1 575.2 2,186.6 339.3 GROUP V 1,130 cities, 10,000 to 24,999; population 17,955,105 Number of offenses known 50,351 388 4,332 13,016 32,615 539,663 98,253 393,721 47,689 Rate 280.4 2.2 24.1 72.5 181.6 3,005.6 547.2 2,192.8 265.6 GROUP VI 3,374 cities, under 10,000; population 11,416,389 Number of offenses known 36,028 288 3,166 7,242 25,332 452,141 76,494 345,516 30,131 Rate 315.6 2.5 27.7 63.4 221.9 3,960.5 670.0 3,026.5 263.9 Nonsuburban cities TOTAL NONSUBURBAN CITIES: 2,996 cities; population 19,505,222 Number of offenses known Rate 88,242 452.4 813 4.2 8,407 43.1 16,583 85.0 62,439 320.1 886,811 4,546.5 171,684 880.2 667,279 3,421.0 47,848 245.3 GROUP IV 170 cities, 25,000 to 49,999; population 6,061,016 Number of offenses known 34,067 319 3,239 8,088 22,421 317,854 61,454 236,520 19,880 Rate 562.1 5.3 53.4 133.4 369.9 5,244.2 1,013.9 3,902.3 328.0 GROUP V 390 cities, 10,000 to 24,999; population 6,067,551 Number of offenses known 26,829 259 2,666 5,372 18,532 298,669 56,909 226,876 14,884 Rate 442.2 4.3 43.9 88.5 305.4 4,922.4 937.9 3,739.2 245.3 GROUP VI 2,436 cities, under 10,000; population 7,376,655 Number of offenses known 27,346 235 2,502 3,123 21,486 270,288 53,321 203,883 13,084 Rate 370.7 3.2 33.9 42.3 291.3 3,664.1 722.8 2,763.9 177.4 1 Suburban includes law enforcement agencies in cities with less than 50,000 inhabitants that are within a Metropolitan Statistical Area (see Appendix III). Suburban excludes all metropolitan agencies associated with a principal city. Nonsuburban includes law enforcement agencies in cities with less than 50,000 inhabitants that are not associated with a Metropolitan Statistical Area. OFFENSES REPORTED 245 Table 18 Rate: Number of Crimes per 100,000 Inhabitants by Metropolitan and Nonmetropolitan Counties 1 by Population Group, 2003 [2003 estimated population] Violent crime Property crime Murder and non- negligent Motor Violent man- Forcible Aggravated Property Larceny- vehicle Population group crime slaughter rape Robbery assault crime Burglary theft theft METROPOLITAN COUNTIES 100,000 and over 133 counties; population 35,644,050 Number of offenses known 143,612 1,616 9,601 35,973 96,422 1,047,940 234,979 680,107 132,854 Rate 402.9 4.5 26.9 100.9 270.5 2,940.0 659.2 1,908.1 372.7 25,000 to 99,999 378 counties; population 19,432,410 Number of offenses known 44,136 546 4,615 4,736 34,239 388,878 111,379 244,530 32,969 Rate 227.1 2.8 23.7 24.4 176.2 2,001.2 573.2 1,258.4 169.7 Under 25,000 915 counties; population 3,872,805 Number of offenses known 16,110 207 1,555 1,898 12,450 125,869 29,663 71,343 24,863 Rate 416.0 5.3 40.2 49.0 321.5 3,250.1 765.9 1,842.2 642.0 NONMETROPOLITAN COUNTIES 25,000 and over 242 counties; population 9,395,038 Number of offenses known 20,251 312 2,047 1,870 16,022 171,834 57,193 102,400 12,241 Rate 215.5 3.3 21.8 19.9 170.5 1,829.0 608.8 1,089.9 130.3 10,000 to 24,999 467 counties; population 7,542,141 Number of offenses known 14,246 229 1,408 891 11,718 115,476 39,100 67,770 8,606 Rate 188.9 3.0 18.7 11.8 155.4 1,531.1 518.4 898.6 114.1 Under 10,000 1,168 counties; population 3,520,667 Number of offenses known 8,999 131 1,351 394 7,123 66,009 21,178 38,783 6,048 Rate 255.6 3.7 38.4 11.2 202.3 1,874.9 601.5 1,101.6 171.8 1 Metropolitan counties include sheriffs and county law enforcement agencies associated with a Metropolitan Statistical Area (see Appendix III). Nonmetropolitan counties include sheriffs and county law enforcement agencies that are not associated with a Metropolitan Statistical Area. The offenses from state police agencies are not included in this table. 246 CRIME IN THE UNITED STATES Table 19 Rate: Number of Crimes per 100,000 Inhabitants Breakdown of Offenses Known by Population Group, 2003 [2003 estimated population] Population group TOTAL ALL AGENCIES: 12,011 agencies; papulation 232,648,552 Number of offenses known Rate Forcible rape Robbery gravated assault Burglary Motor vehicle theft Assault Knife or Rape by to rape- cutting Other Strong- force attempts Firearm instrument weapon arm 69,810 6,898 136,626 30.0 3.0 58.7 29,076 30,887 130,371 12.5 13.3 56.0 Knife or Hands. Attempted Trucks cutting Other fists. Forcible Unlawful forcible and Other Firearm instrument weapon feet, etc. entiy entry entry Autos buses vehicles 133,836 127,592 251,504 188,310 1,114,635 557,572 113,060 795,416 200,494 89,013 57.5 54.8 108.1 80.9 479.1 239.7 48.6 341.9 86.2 38.3 TOTAL CITIES: 8,570 cities; population 153,527,154 Number of offenses known Rate 50,663 33.0 5,389 116,147 3.5 75.7 25,322 26,029 114,186 16.5 17.0 74.4 104,066 99,218 184,650 135,365 805,989 401,603 85,167 653,094 157,798 58,121 67.8 64.6 120.3 88.2 525.0 261.6 55.5 425.4 102.8 37.9 GROUP I 63 cities, 250,000 and over; population 39,797.364 Number of offenses known Rate 16,131 2,061 65,362 12,749 12,753 56,725 40.5 5.2 164.2 32.0 32.0 142.5 55,424 41,790 79,135 41,780 301,598 114,560 24,033 297,999 94,642 24,056 139.3 105.0 198.8 105.0 757.8 287.9 60.4 748.8 237.8 60.4 8 cities, 1 ,000,000 and over- population 13,684,275 Number of offenses known Rate 4,703 876 25,562 5,670 4,465 20,762 34.4 6.4 186.8 41.4 32.6 151.7 21,109 14,534 24,193 20,022 93,610 36,110 7,081 99,213 37,745 8,539 154.3 106.2 176.8 146.3 684.1 263.9 51.7 725.0 275.8 62.4 21 cities, 500,000 to 999,999; population 13,908,395 Number of offenses known Rate 5,685 40.9 636 21,247 4.6 152.8 3,800 4,884 16,477 27.3 35.1 118.5 18,365 14,543 28,782 10,151 113,196 39,497 9,266 100,293 32,391 9,878 132.0 104.6 206.9 73.0 813.9 284.0 66.6 721.1 232.9 71.0 O Tl Tl m z CO m CO 33 m ~D o m a 34 cities, 250,000 to 499,999; population 12,204,694 Number of offenses known Rate GROUP II 150 cities, 100,000 to 249,999; population 22,297,062 Number of offenses known Rate GROUP III 362 cities, 50,000 to 99,999; population 25,171,305 Number of offenses known Rate See footnotes at end of table. 5,743 47.1 549 18,553 4.5 152.0 7,749 1,048 18,899 34.8 4.7 84.8 8,132 719 13,426 32.3 2.9 53.3 3,279 3,404 19,486 26.9 27.9 159.7 4,293 4,349 17,928 19.3 19.5 80.4 3,430 3,543 16,184 13.6 14.1 64.3 15,950 12,713 26,160 11,607 94,792 38,953 7,686 98,493 24,506 5,639 130.7 104.2 214.3 95.1 776.7 319.2 63.0 807.0 200.8 46.2 15,838 15,649 30,544 16,281 133,800 61,444 14,091 116,440 24,714 8,317 71.0 70.2 137.0 73.0 600.1 275.6 63.2 522.2 110.8 37.3 12,616 14,416 27,634 19,835 116,642 65,893 15,141 94,785 15,383 7,957 50.1 57.3 109.8 78.8 463.4 261.8 60.2 376.6 61.1 31.6 o 30 x m c z — i m D Si m 05 Table 19 Rate: Number of Crimes per 100,000 Inhabitants Breakdown of Offenses Known by Population Group, 2003 — Continued [2003 estimated population] Population group GROUP IV 677 cities, 25,000 to 49,999; population 23,517,164 Number of offenses known Rate GROUP V Forcible rape Robbery Assault Knife or Rape by to rape- cutting Other Strong- force attempts Firearm instrument weapon arm 7,043 29.9 527 2.2 8,249 35.1 2,243 2,437 10,381 9.5 10.4 44.1 gravated assault Knife or Hands, cutting Other fists. Firearm instrument weapon feet, etc. 33.5 10,536 18,302 44.8 77.8 17,770 75.6 Burglary 93,162 396.1 55,893 237.7 12,130 51.6 Motor vehicle theft Attempted Forcible Unlawful forcible entty entry entry Autos 63,473 269.9 Trucks and Other buses vehicles 9,416 6,254 40.0 26.6 1,519 cities, 10,000 to 24,999; population 24,003,549 Number of offenses known Rate 6,433 26.8 557 2.3 6,532 27.2 1,656 6.9 1,861 7.8 8,332 34.7 6,989 9,433 16,299 29.1 39.3 67.9 18,423 76.8 89,300 372.0 54,468 226.9 11,026 45.9 48,395 201.6 7,923 6,169 33.0 25.7 GROUP VI 5,799 cities, under 10,000; population 18,740,710 Number of offenses known Rate 5,175 27.6 477 3,679 2.5 19.6 951 5.1 1,086 4,636 5.8 24.7 5,319 28.4 7,394 12,736 21,276 39.5 68.0 113.5 71,487 381.5 49,345 263.3 8,746 46.7 32,002 170.8 5,720 30.5 5,368 28.6 METROPOLITAN COUNTIES 1,417 agencies; population 57,632,624 Number of offenses known Rate 14,275 1,130 24.8 2.0 19,007 33.0 3,439 6.0 4,384 14,865 7.6 25.8 23,392 22,854 55,587 40.6 39.7 96.5 38,550 66.9 229,130 116,047 397.6 201.4 21,775 124,720 37,192 24,020 37.8 216.4 64.5 41.7 NONMETROPOLITAN COUNTIES 2,024 agencies; population 21,488,774 Number of offenses known Rate 4,872 22.7 379 1.8 1,472 6.9 315 1.5 474 2.2 1,320 6.1 6,378 5,520 11,267 29.7 25.7 52.4 14,395 67.0 79,516 370.0 39,922 185.8 6,118 28.5 17,602 81.9 5,504 6,872 25.6 32.0 SUBURBAN AREA 1 6,425 agencies; population 104,479,176 Number of offenses known Rate 25,194 2,054 24.1 2.0 31,845 30.5 6,724 8,016 30,718 6.4 7.7 29.4 34,506 33.0 38,261 84,389 73,356 36.6 80.8 70.2 381,811 217,822 365.4 208.5 42,765 233,527 53,406 36,189 40.9 223.5 51.1 34.6 1 Suburban area includes law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area (see Appendix III). Suburban area excludes all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table. Table 20 Murder by State, 2003 Type of Weapon Stats Tol ill Toltti fire onus Handguns Rifles Shotguns Firearms (tyP e unknown ) Knives or culling instruments Other weapons Hands, fists, feet, etc. Alabama 292 207 185 0 22 0 28 33 24 Alaska 39 24 21 2 0 1 6 8 1 Arizona 439 311 275 14 15 7 43 53 32 Arkansas 154 103 68 11 10 14 23 21 7 California 2,407 1,727 1,558 64 53 52 261 281 138 Colorado 158 92 66 2 2 22 31 23 12 Connecticut 78 31 23 0 1 7 14 27 6 Delaware 24 16 10 0 1 5 2 6 0 District of Columbia 3 1 0 0 0 0 0 1 0 0 Florida 3 Georgia 625 435 382 9 23 21 82 68 40 Hawaii 22 8 4 2 2 0 1 5 8 Idaho 25 13 10 2 0 1 2 4 6 Illinois 3 594 483 438 5 8 32 52 35 24 Indiana 322 244 153 12 7 72 25 42 11 Iowa 47 21 13 1 2 5 7 12 7 Kansas 91 62 38 4 5 15 5 14 10 Kentucky 3 79 54 22 1 2 29 9 14 2 Louisiana 573 454 382 39 21 12 50 46 23 Maine 16 8 2 0 3 3 3 1 4 Maryland 524 370 345 5 13 7 75 49 30 Massachusetts 140 73 51 0 0 22 32 32 3 Michigan 615 432 324 20 18 70 69 88 26 Minnesota 121 72 60 6 6 0 16 24 9 Mississippi 186 128 99 1 14 14 27 18 13 Missouri 2X8 183 83 7 7 86 37 59 9 Montana 21 15 6 4 0 5 3 3 0 Nebraska 19 5 3 1 0 1 5 7 2 Nevada 193 1 19 97 3 3 16 26 37 1 1 New Hampshire 11 4 0 0 4 0 1 3 3 New Jersey 405 240 218 4 9 9 83 43 39 New Mexico 100 51 43 3 1 4 12 18 19 New York 878 545 490 13 10 32 150 105 78 North Carolina 492 316 225 16 35 40 59 78 39 North Dakota 9 8 6 0 1 1 0 0 1 Ohio 473 245 195 3 1 1 36 68 101 59 Oklahoma 206 129 98 9 6 16 28 28 21 Oregon 66 34 18 2 0 14 8 19 5 Pennsylvania 629 432 371 9 12 40 80 93 24 Rhode Island 25 18 1 1 0 0 7 1 4 2 South Carolina 293 199 142 5 12 40 34 38 22 South Dakota 9 4 4 0 0 0 5 0 0 Tennessee 395 258 185 8 16 49 48 69 20 Texas 1,417 891 643 75 58 115 189 233 1(14 Utah 53 34 24 1 1 8 10 8 1 Vermont 14 8 5 0 1 2 4 2 0 Virginia 409 280 128 6 16 130 39 73 17 Washington 182 85 66 10 8 1 41 41 15 West Virginia 54 34 22 2 5 5 8 9 3 Wisconsin 181 126 85 7 7 27 12 30 13 Wyoming 14 7 4 2 1 0 1 3 3 1 Total number of murders for which supplemental homicide data were received. 2 Pushed is included in hands, fists, feet, etc. 3 Limited or no supplemental homicide data were received. The murder for the District of Columbia was reported by the Metro Transit Police. OFFENSES REPORTED 249 Table 21 Robbery by State, 2003 Type of Weapon State Total robberies' Firearms Knives or cutting instruments Other weapons Strong-arm Agency count Population Alabama 2,779 1,482 189 187 921 302 3,298,257 Alaska 442 135 39 43 225 31 632,621 Arizona 7,490 3,616 848 696 2,330 87 5,406,362 Arkansas 1,916 1,031 124 1 37 624 1 19 1,823,659 California 63,496 22,122 6,442 5,618 29,314 718 35,044,194 Colorado 3,255 1,036 339 730 1,150 163 1 -t l~\ A CIA 3,394,519 Connecticut 3,043 1,104 332 259 1,348 76 2,338,05 / Delaware 1,380 606 122 1 14 538 41 807,466 District of Columbia 3,941 1,850 220 285 1,586 3 563,384 Florida 31,512 12,288 2,214 3,430 13,580 596 17,012,655 Georgia 12,530 7,044 726 1,152 3,608 349 6,720,872 Hawaii 1,168 153 108 67 840 4 1,257,608 Idaho 242 78 30 35 99 1 12 1,341,105 Illinois 2 Indiana 5,906 2,927 388 453 2,138 269 4,917,075 Iowa 1,104 244 142 160 558 189 2,650,558 Kansas 364 108 24 1 15 1 17 229 1,321,692 Kentucky 2 2,336 1,064 161 39 1 720 25 1,379,691 Louisiana 6,61 1 4,006 349 456 1,800 149 3,892,033 Maine 289 54 45 33 157 163 1 -t AA A 1 A 1,300,474 Maryland 8,963 4,523 851) 499 3,091 148 A O/l A -t C C 4,864,355 Massachusetts 7,324 2,130 1,441 870 2,883 291 5,770,923 Michigan 10,929 5,143 665 1,277 3,844 561 r\ f\ a -t o 9,630,438 Minnesota 909 292 75 258 284 26 1 1 tl A 't OOA 3,642,880 Mississippi 2,064 1,176 133 198 557 98 1,548,999 Missouri 6,200 2,743 415 487 2,555 576 5,650,366 Montana 170 40 22 35 73 66 582,506 Nebraska 1,144 554 102 72 416 215 1,489,255 Nevada 5,153 2,092 515 412 2,134 34 2,196,620 New Hampshire 301 93 37 37 134 1 17 o o ~i -toe 887,385 New Jersey 13,264 4,331 1,488 1,000 6,445 494 8,374,199 New Mexico 1,620 706 224 137 553 35 1 ,23 1 ,648 New York 8,319 2,648 870 970 3,831 5 14 9,606,134 North Carolina 1 1 ,092 5,909 860 1,096 3,227 333 6,694,134 North Dakota 46 10 5 8 23 55 504,086 Ohio 1 1,826 4,101 579 1,183 5,963 334 H O 1 ~1 HA 6,817,310 Oklahoma 3,224 1,416 324 207 1,277 298 3,511,532 Oregon 2,602 702 296 228 1,376 1 40 -t '-t r\ 1 -i o a 3,201,784 Pennsylvania 16,856 6,952 1,291 1,056 7,557 764 10,592,964 Rhode Island OJV! 1 1 2 1 uo 1 ,u /o, i o<+ South Carolina 5,021 2,511 401 479 1,630 298 3,628,858 South Dakota 100 24 [0 10 56 123 673,184 Tennessee 9,354 5,356 659 1,046 2,293 443 5,738,034 Texas 36,958 16,661 3,745 3,432 13,120 969 21,978,733 Utah 1,218 424 108 174 512 98 2,057,602 Vermont 38 14 7 6 11 54 478,344 Virginia 4,431 2,174 351 602 1,304 251 5,319,103 Washington 4,620 1,216 474 467 2,463 235 5,370,779 West Virginia 144 54 15 25 50 260 726,434 Wisconsin 4,269 2,414 271 272 1,312 332 5,037,985 Wyoming 83 24 13 14 32 60 487,191 1 The number of robberies for which breakdowns by type of weapon were received for 12 months of 2003. 2 Limited or no robbery by type of weapon data for 2003 were received. 250 CRIME IN THE UNITED STATES Table 22 Aggravated Assault by State, 2003 Type of Weapon Stale Total aggravated assaults 1 Firearms Knives or cutting instruments Other weapons Personal weapons Agency count Population Alabama 7,479 1,782 1,088 1,663 2,946 302 3,298,257 Alaska 2,709 495 636 686 892 3 1 632,621 Arizona 18,136 4,895 2,688 5,447 5,106 87 5,406,362 Arkansas 6,761 1,510 1,031 2,004 2,216 1 19 1,823,659 California 128,092 22,290 1 8,000 42,546 45,256 718 35,044,194 Colorado 8,188 1,531 1,773 2,748 2,136 163 3,394,519 Connecticut 3,824 373 743 1,371 1,337 76 2,338,057 Delaware 3,581 617 824 1,742 398 41 807,466 District of Columbia 4,596 904 1,275 1,891 526 3 563,384 Florida 85,076 12,862 15,286 39,652 17,276 596 17,012,655 Georgia 18,203 4,808 3,538 5,845 4,012 349 6,720,872 Hawaii 1,843 186 299 594 764 4 1,257,608 Idaho 2,500 460 588 1,003 449 1 12 1,341,105 Illinois 2 Indiana 1 1,407 1,415 1,246 2,979 5,767 269 4,917,075 Iowa 5,812 445 918 1,520 2,929 1 89 2,650,558 Kansas 3,012 488 532 1,568 424 229 1,321,692 Kentucky 2 3,462 491 396 1,250 1,325 25 1,379,691 Louisiana 16,975 4,704 3,393 5,157 3,721 149 3,892,033 Maine 762 30 124 212 396 163 1,300,474 Maryland 17,223 2,381 3,519 7,587 3,736 148 4,864,355 Massachusetts 19,838 1,856 4,150 9,901 3,931 291 5,770,923 Michigan 33,103 7,219 6,333 13,959 5,592 561 9,630,438 Minnesota 3,266 376 781 1,080 1,029 261 3,642,880 Mississippi 2,562 689 515 608 750 98 1,548,999 Missouri 19,035 3,829 2,613 6,194 6,399 576 5,650,366 Montana 1,695 300 212 483 700 66 582,506 Nebraska 3,143 471 636 1,448 588 215 1,489,255 Nevada 7,467 1,586 1,653 2,967 1,261 34 2,196,620 New Hampshire 552 87 178 133 154 1 17 887,385 New Jersey 16,032 2,527 3,551 4,870 5,084 494 8,374,199 New Mexico 6,746 1,434 1,174 2,195 1,943 35 1,231,648 New York 14,562 1,696 3,123 4,241 5,502 514 9,606,134 North Carolina 19,887 5,586 4,022 6,024 4,255 333 6,694,134 North Dakota 230 9 45 66 1 10 55 504,086 Ohio 10,975 2,041 2,050 3,552 3,332 334 6,817,310 Oklahoma 12,827 2,071 2,065 4,815 3,876 298 3,511,532 Oregon 5,965 725 991 2,282 1,967 140 3,201,784 Pennsylvania 23,582 5,068 3,626 6,115 8,773 764 10,592,964 Rhode Island 1,714 358 382 650 324 48 1,076,164 South Carolina 22,418 5,000 4,641 6,846 5,931 298 3,628,858 South Dakota 776 114 220 198 244 123 673,184 Tennessee 28,021 8,799 5,917 10,440 2,865 443 5,738,034 Texas 75,584 16,352 16,767 28,419 14,046 969 21,978,733 Utah 3,253 546 701 1,077 929 98 2,057,602 Vermont 345 55 63 81 146 54 478,344 Virginia 6,799 1,125 1,407 2,216 2,051 251 5,319,103 Washington 9,955 1,365 1,825 3,462 3,303 235 5,370,779 West Virginia 1,399 360 181 284 574 260 726,434 Wisconsin 5,581 930 746 1,097 2,808 332 5,037,985 Wyoming 1,050 105 158 340 447 60 487,191 1 The number of aggravated assaults for which breakdowns by type of weapon were received for 12 months of 2003. 2 Limited or no aggravated assault by type of weapon data for 2003 were received. OFFENSES REPORTED 251 Table 23 Offense Analysis Number and Percent Change, 2002-2003 [11,980 agencies; 2003 estimated population 224,518,754] Number of offenses Percent change Percent Average Classification 2003 over 2002 distribution 1 value Murder 1 Z,itO +U.8 Forcible rape 71,833 -1.5 - Robbery: Total 302,360 -1.4 100.0 $1,244 Street/highway 131,136 -1.9 43.4 898 Commercial house 44,244 -1.0 14.6 1,778 Gas or service station 8,310 -2.4 2.7 690 Convenience store 18,851 -3.0 6.2 813 Residence 41,427 +2.4 13.7 1,472 Bank 6,951 -2.2 2.3 4,767 Miscellaneous 51,441 -2.5 17.0 1,258 Burglary: Total 1,646,613 +0.5 100.0 1,626 Residence (dwelling): 1,083,886 +0.5 65.8 1,600 Night 312,680 -0.8 19.0 1,305 Day 511,031 + 1.0 31.0 1,700 Unknown 260,175 +1.1 15.8 1,758 Nonresidence (store, office, etc.): 562,727 +0.5 34.2 1,676 Night 237,029 -1.2 HA 1,460 Dav 169,060 +3.2 10.3 1,659 Unknown 156,638 +0.1 9.5 2,019 Larceny-theft (except motor vehicle theft): Total 5,418,092 -0.2 100.0 698 By type: Pocket-picking 24,648 -1.9 0.5 294 Purse-snatching 32,524 +5.1 0.6 367 Shoplifting 781,289 + 1.3 14.4 163 From motor vehicles (except accessories) 1,432,337 -0.5 26.4 680 Motor vehicle accessories 602,414 +2.8 11.1 442 Bicycles 209,575 -3.9 3.9 247 From buildings 669,760 -3.5 12.4 1,030 From coin-operated machines 40,383 +2.2 0.7 262 All others 1,625,162 +0.1 30.0 1,012 By value: Over $200 2,129,479 -1.7 39.3 1,693 $50 to $200 1,223,421 -0.9 22.6 112 Under $50 2,065,192 + 1.8 38.1 21 Motor vehicle theft 903,625 +6.7 6,797 1 Because of rounding, the percentages may not add to 100.0. Table 24 Property Stolen and Recovered by Type and Value, 2003 [1 1,894 agencies; 2003 estimated population 223,958,172] Value of property Percent Type of property Stolen Recovered recovered Total $13,181,852,218 $4,509,149,255 34.2 Currency, notes, etc. 947,441,557 37,190,984 3.9 Jewelry and precious metals 1,037,755,787 46,176,125 4.4 Clothing and furs 211,047,574 31,310,441 14.8 Locally stolen motor vehicles 6,438,458,427 4,049,658,523 62.9 Office equipment 456,024,692 21,420,579 4.7 Televisions, radios, stereos, etc. 902,706,861 41,569,206 4.6 Firearms 97,375,307 7,546,973 7.8 Household goods 214,767,746 9,810,482 4.6 Consumable goods 105,129,364 9,939,291 9.5 Livestock 16,071,308 2,064,282 12.8 Miscellaneous 2,755,073,595 252,462,369 9.2 252 CRIME IN THE UNITED STATES