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UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1995 (ICPSR 6850) Principal Investigator United States Department of Justice Federal Bureau of Investigation Second ICPSR Edition February 2001 Inter-university Consortium for Political and Social Research P.O. Box 1248 Ann Arbor, Michigan 48106

BIBLIOGRAPHIC CITATION Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: U.S. Dept. of Justice, Federal Bureau of Investigation. UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1995 [Computer file]. 2nd ICPSR ed. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor], 2001. REQUEST FOR INFORMATION ON USE OF ICPSR RESOURCES To provide funding agencies with essential information about use of archival resources and to facilitate the exchange of information about ICPSR participants' research activities, users of ICPSR data are requested to send to ICPSR bibliographic citations for each completed manuscript or thesis abstract. Please indicate in a cover letter which data were used. DATA DISCLAIMER The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses.

DATA COLLECTION DESCRIPTION United States Department of Justice. Federal Bureau of Investigation UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: COUNTY- LEVEL DETAILED ARREST AND OFFENSE DATA, 1995 (ICPSR 6850) SUMMARY: This data collection contains county-level counts of arrests and offenses for Part I offenses (murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson) and Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways). UNIVERSE: County law enforcement agencies in the United States. NOTE: (1) As in past years, data were aggregated to the county level, but two major changes to the Uniform Crime Reports (UCR) county-level files were implemented beginning with the 1994 data. A new imputation algorithm to adjust for incomplete reporting by individual law enforcement jurisdictions was adopted. Within each county, data from agencies reporting 3 to 11 months of information were weighted to yield 12-month equivalents. Data for agencies reporting less than 3 months of data were replaced with data estimated by rates calculated from agencies reporting 12 months of data located in the agency's geographic stratum within their state. Secondly, a new Coverage Indicator was created to provide users with a diagnostic measure of aggregated data quality in a particular county. Data from agencies reporting only statewide figures were allocated to the counties in the state in proportion to each county's share of the state population. (2) No arrest data were provided for Kansas, Montana, or New Hampshire. In Illinois, arrest data were provided only for Chicago, and limited arrest statistics were provided for Delaware and Kentucky. For most counties in Vermont, the majority of arrest data were reported by the state police in that county. Only five cities in Illinois, two cities in Kansas, and four cities in Montana reported crime data for their respective states. (3) UCR program staff at the Federal Bureau of Investigation (FBI) were consulted in developing the new adjustment procedures. However, these UCR county-level files are not official FBI UCR releases and are being provided for research purposes only. Users with questions regarding these UCR county- level data files can contact the National Archive of Criminal Justice Data at ICPSR. (4) The codebook is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

EXTENT OF COLLECTION: 8 data files + machine-readable documentation (PDF) + SAS data definition statements + SPSS data definition statements EXTENT OF PROCESSING: CDBK.ICPSR/ DDEF.ICPSR/ MDATA.ICPSR/ RECODE/ UNDOCCHK.ICPSR DATA FORMAT: Logical Record Length with SAS and SPSS data definition statements Part 1: Arrests, All Ages Part 2: Arrests, Adult File Structure: rectangular File Structure: rectangular Cases: 3,144 Cases: 3,144 Variables: 56 Variables: 56 Record Length: 242 Record Length: 242 Records Per Case: 1 Records Per Case: 1 Part 3: Arrests, Juveniles Part 4: Crimes Reported File Structure: rectangular File Structure: rectangular Cases: 3,144 Cases: 3,144 Variables: 56 Variables: 21 Record Length: 242 Record Length: 97 Records Per Case: 1 Records Per Case: 1 Part 5: Allocated Statewide Part 6: Allocated Statewide Data for Arrests, All Ages Data for Arrests, Adults File Structure: rectangular File Structure: rectangular Cases: 3,144 Cases: 3,144 Variables: 57 Variables: 57 Record Length: 250 Record Length: 250 Records Per Case: 1 Records Per Case: 1 Part 7: Allocated Statewide Part 8: Allocated Statewide Data for Arrests, Juveniles Data for Crimes Reported File Structure: rectangular File Structure: rectangular Cases: 3,144 Cases: 3,144 Variables: 57 Variables: 22 Record Length: 250 Record Length: 104 Records Per Case: 1 Records Per Case: 1 RELATED PUBLICATIONS: United States Department of Justice. Federal Bureau of Investigation. UNIFORM CRIME REPORTS, 1995. Washington, DC: United States Government Printing Office, 1996. United States Department of Justice. Federal Bureau of Investigation. UNIFORM CRIME REPORTING HANDBOOK. Washington, DC: United States Government Printing Office, 1980. United States Department of Justice. Bureau of Justice Statistics. FELONY SENTENCES IN STATE COURTS, 1990. Washington, DC: United States Government Printing Office, 1993.

TABLE OF CONTENTS

no.

INTRODUCTION

ICPSR Data Collection Description i

Parts 1-3: Codebook for UCR County-Level Arrests Data 1

Parts 5-7: Codebook for Allocated Statewide Data for Arrests 5

Part 4: Codebook for UCR County-Level Crimes Reported Data 9

Part 8: Codebook for Allocated Statewide Data for Crimes Reported 11

APPENDIX

FIPS Codes for UCR County-Level Data 13

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ICPSR DATA COLLECTION DESCRIPTION

The UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1995 reports counts of arrests and offenses for the Uniform Crime Reports (UCR) index (Part I) crimes: murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson. The UCR County-level Arrest files also report arrests for additional (Part II) crimes such as forgery, fraud, vice offenses, and drug possession or sale. The data were originally collected by the Federal Bureau of Investigation (FBI) from reports submitted by agencies and states participating in the UCR Program. Each agency or jurisdiction is uniquely identified in the collection by the UCR Originating Agency Identifier (ORI). In describing this data collection the terms agency, jurisdiction, and ORI are used synonymously. Detailed discussions of reporting procedures are found in the UNIFORM CRIME REPORTING HANDBOOK (Washington, DC: U.S. Government Printing Office, 1980), and in the codebooks for the ICPSR's Agency-level UCR data collections (see ICPSR 9028).

It should be emphasized that, while UCR staff were consulted in developing the new adjustment procedures, these UCR county-level files are not official FBI UCR releases and are being provided for research purposes. Users with questions regarding these UCR county-level data files can contact the National Archive of Criminal Justice Data at the ICPSR.

BREAK IN SERIES

Two major changes to the UCR county-level files were implemented with the 1994 release data and are continued with the 1995 data. A new imputation algorithm to adjust for incomplete reporting by individual law enforcement jurisdictions has been adopted. Also, a new Coverage Indicator has been created to provide users with a diagnostic measure of aggregated data quality in a particular county. These developments are described in greater detail below. The changes were instituted in response to comments from a number of users and after almost a year of discussions by UCR file users, the Uniform Crime Reports Unit of the Federal Bureau of Investigation, the Bureau of Justice Statistics, and the Inter-university Consortium for Political and Social Research.

These changes will result in a break in series from previous UCR county-level files. Data from earlier year files should not be compared to data from 1994 and subsequent years. Changes in procedures used to adjust for incomplete reporting at the ORI or jurisdiction level may be expected to have an impact on aggregates for counties in which some ORIs have not reported for all 12 months. However, the new adjustment procedures should result in county-level data that are less sensitive to changes between years in the extent of reporting by ORIs within a county. Consequently, data from 1994 forward should be more accurate estimates for longitudinal analysis.

ii CHANGES IN IMPUTATION PROCEDURES FOR INCOMPLETE REPORTING IMPUTATION PROCEDURES USED FOR 1977-1993 UCR COUNTY-LEVEL FILES: The data for any ORI reporting 12 months were used for county aggregation as submitted. Data for an ORI reporting six to 11 months were increased by a weight of [12/months reported]. Data for any ORI reporting less than 6 months were deleted from the county total, and the population served by that ORI was deleted from the county population total to help control for differential data quality across counties. The aim of this procedure was to produce comparable data cross-sectionally across all counties. However, if there were major changes in the ORIs reporting in a county across years, artifactual changes in the longitudinal data for a county could be introduced because of potential variation in the type of ORIs used to compute imputed county totals and rates each year. IMPUTATION PROCEDURES USED FOR 1994 UCR COUNTY-LEVEL FILES AND ONWARD: The data for any ORI reporting 12 months were used for county aggregation as submitted. Data for an ORI reporting 3 to 11 months were increased by a weight of [12/months reported]. For ORIs reporting 0 to 2 months, data for these ORIs were set to zero and then data were estimated using rates calculated from ORIs reporting 12 months of data located in the ORIs geographic stratum based on UCR Population Groups within their state. UCR Population Groups are defined as follows: Population Group ---------------- 1) Cities 250,000 and over 2) Cities 100,000 - 249,999 3) Cities 50,000 - 99,999 4) Cities 25,000 - 49,999 5) Cities 10,000 - 24,999 6) Cities under 10,000 7) Cities under 2,500 8) Non-MSA counties and non-MSA State Police 9) MSA counties and MSA State Police COVERAGE INDICATOR For releases of UCR county-level files before 1994, data from jurisdictions reporting less than 6 months of data were not included in county totals in an effort to ensure cross-sectional data comparability and quality. With the new procedures to adjust for incomplete reporting, data will be provided for each active ORI that reports less than 12 months of data, whether through weighting of partial year data or substitution of a value based on population group and state. Instead of exercising an a priori judgment that 6 months of data is the minimum threshold for acceptable data quality, a new Coverage Indicator variable has been created that will allow users to set their own threshold for

iii acceptable data quality and to include or exclude data based on the standards they set themselves. The Coverage Indicator variable represents the proportion of county data that is not imputed for a given year. The indicator ranges from 100, indicating that all ORIs in the county reported for 12 months in the year, to 0, indicating that all data in the county are based on estimates (as described above), not reported data. The Coverage Indicator is calculated as follows: CI = (1-(sum((ORI pop/county pop)((12-months reported)/12))))*100 x i where CI = Coverage Indicator x = county i = ORI within county The value for "months reported" will be 0 for agencies reporting 0-2 months of data because any data provided by these agencies is set to zero and the data are estimated using the procedure described above. Some ORIs do not have a population associated with their jurisdiction. These ORIs report for jurisdictions such as national parks, colleges and universities, toll bridges and tunnels, and most state police departments. As the coverage indicator is based on months of reporting and the population of each agency, this variable will not show estimation that did occur for statewide ORIs and for ORIs as listed above that do not have a population but reported 3 to 11 months of data. Conversely, the coverage indicator will indicate that estimation has occurred for ORIs with a population that reported 3 to 11 months of data even if the ORIs actually reported no crimes or arrests. Similarly, the coverage indicator will indicate that estimation had occurred for ORIs with a population that reported 0 to 2 months of data, even though no rate was calculated to estimate data because of the lack of ORIs in the agency's geographic stratum reporting 12 months of data. Finally, since data for ORIs that reported 0 to 2 months of information are set to zero, users should be aware that no estimation of data was possible for ORIs without a population that reported 0 to 2 months of data. COMPARING "CRIME IN THE UNITED STATES-1995" TO ICPSR 6850 "Crime in the United States-1995" is a publication prepared by the Federal Bureau of Investigation and provides estimations of national reported crime activity and arrest statistics from law enforcement agencies in the UCR Program. Users of this data collection prepared by ICPSR may not be able to match the statistics presented in "Crime in the United States-1995" due to several factors: (1) The UCR staff continue to update agency records when additions or corrections are received by the UCR Program. The FBI statistics presented in "Crime in the United States-1995" are based on the data that the FBI has received prior to their established publication deadlines. The data used by ICPSR to prepare the data in ICPSR 6850 contains additions and corrections to the data submitted to the FBI after their publication deadline for producing "Crime in the United States-1995," most notably the addition of data for Pennsylvania.

iv

(2) The new imputation algorithm that ICPSR implemented in 1994 approximates the estimation procedures that the FBI uses to adjust for incomplete or unreported data from individual law enforcement jurisdictions. Either limited or no crime or arrest data were available for Illinois, Kansas, and Montana in 1995 because these states are in the process of converting to the National Incident-Based Reporting System (NIBRS). For some tables in "Crime in the United States-1995" (for example, Tables 2 and 29, pages 59 and 208, respectively), the FBI provided estimated crime counts and arrest totals for the each of these states (see page 368 for the FBI's estimation procedures). The ICPSR algorithm estimates data for agencies reporting less than three months of data by calculating rates from agencies reporting 12 months of data located in the agency's geographic stratum within that state. Since data for these states were very limited or not present in the original data, estimates for the entire state for these three states could not be produced by ICPSR.

(3) Some tables in "Crime in the United States-1995" were prepared using data only from agencies submitting complete reports for the 12 months for 1995 prior to the publication deadline (for example, Table 69, page 266). For this ICPSR data collection, all law enforcement agency records present in the original FBI data were used in the aggregation to the county level. County records with a coverage indicator value of 100 contain only 12-month reporting agencies (see last paragraph of the Coverage Indicator section in the Introduction for possible exceptions). Agencies reporting 12 months of data within a county with a coverage indicator value less than 100 cannot be separately identified in this dataset aggregated at the county level.

ADDITIONAL NOTES

In the UCR county-level arrest files, the population and data for jurisdictions located in multiple counties are provided only in the county containing the largest population component of the jurisdiction. Counties containing smaller population components of multiple-county jurisdictions will contain no population or arrest data for these jurisdictions. Data in counties affected by one or more multiple-county jurisdictions are indicated by a multi-county jurisdiction flag variable. In the county-level crimes reported files, the population and crime data for jurisdictions located in multiple counties are provided by the UCR porportioned to each county (maximum of three) in which the jurisdiction is located.

Cities designated by the Census Bureau as independent cities are reported separately and have their own "county" codes (see Appendix). Some jurisdictions, such as state parks and some state police, provide data only on a statewide basis. In these cases, data are allocated to counties proportionate to their share of the total state population. Parts 5 through 8 contain the amount of statewide data allocated to each county. To obtain the county total without the statewide allocation, the statewide values can be subtracted from the county data. State Police data for Vermont

v

that were not reported within a county and the State Police data for Alaska are not allocated to the counties. These two State Police records are identified by the county code 999.

Finally, the original data from the FBI contains one record for New York City. Data from New York City are allocated into New York City's five counties on the basis of the proportion of the population in each county. For example, the population for Queens county is divided by the total population of New York City and the resulting proportion is multiplied with data from each of New York City's arrest and offense categories to apportion data to Queens county.

Seven dummy records were created for the arrest data files and 372 dummy records were created for the offense data files for counties not represented in the original FBI file. These county records provide only the state and county FIPS codes with the rest of the variables following county FIPS in the data file filled with zeros. No arrest data were provided for Kansas, Montana, or New Hampshire. In Illinois, arrest data were provided only for Chicago, and limited arrest statistics were provided for Delaware and Kentucky. For most counties in Vermont, the majority of arrest data were reported by the state police in that county. Only five cities in Illinois, two cities in Kansas, and four cities in Montana reported crime data for their respective states.

One SPSS data definition statement file and one SAS data definition statement file are provided for the three Arrest data files (All Ages, Adults, Juveniles) and one SPSS data definition statement file and one SAS data definition statement file are provided for the Offense data file (Crimes Reported). One SPSS data definition statement file and one SAS data definition statement file are provided for the three Allocated Statewide Data for Arrests files and one SPSS data definition statement file and one SAS data definition statement file are provided for the Allocated Statewide Data for Crimes Reported file. The Arrest data files have 56 variables, the Crimes Reported data file has 21 variables, the Allocated Statewide Data for Arrests files have 57 variables and the Allocated Statewide Data for Crimes Reported file has 22 variables. All data files contain 3,144 cases.

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ICPSR 6850 Page 1

CODEBOOK FOR UCR COUNTY-LEVEL ARRESTS DATA 1995 (ICPSR 6850, Parts 1-3)

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

STUDYNO ICPSR STUDY NUMBER-6850 1-4 4

EDITION ICPSR EDITION NUMBER 5 1

PART ICPSR PART NUMBER 6 1 Part 1: Arrest Data, All Ages Part 2: Arrest Data, Adults Part 3: Arrest Data, Juveniles

IDNO ICPSR SEQUENTIAL CASE ID NUMBER 7-10 4

FIPS_ST FIPS STATE CODE 11-12 2 see Appendix

FIPS_CTY FIPS COUNTY CODE 13-15 3 see Appendix

CPOPARST TOTAL COUNTY POPULATION OF AGENCIES REPORTING ARRESTS 16-23 8 See Additional Notes in Introduction.

AG_ARRST NUMBER OF AGENCIES IN COUNTY REPORTING ARRESTS 24-26 3 See Additional Notes in Introduction.

JURFLAG MULTI-COUNTY JURISDICTION FLAG 27 1 0=Data not affected by multi-county jurisdiction 1=Data affected by multi-county jurisdiction

COVIND COVERAGE INDICATOR 28-35 8.4 see Introduction

GRNDTOT GRAND TOTAL 36-41 6 Total number of arrests. Includes non-index crimes such as fraud, gambling, forgery, prostitution.

P1TOT PART 1-TOTAL 42-47 6 Total number of Part I (index) crimes. This is the sum of variables MURDER through ARSON.

P1VLNT PART 1-VIOLENT CRIMES 48-52 5 Sum of variables MURDER through AGASSLT.

Page 2 ICPSR 6850

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

P1PRPTY PART 1-PROPERTY CRIMES 53-57 5 Sum of variables BURGLRY through ARSON.

MURDER MURDERS 011 58-61 4

RAPE RAPES 02 62-65 4

ROBBERY ROBBERIES 03 66-70 5

AGASSLT AGGRAVATED ASSAULTS 04 71-75 5

BURGLRY BURGLARIES 05 76-80 5

LARCENY LARCENIES 06 81-85 5

MVTHEFT MOTOR VEHICLE THEFTS 07 86-90 5

ARSON ARSONS 09 91-93 3

OTHASLT OTHER ASSAULTS 08 94-98 5

FRGYCNT FORGERY/COUNTERFEITING 10 99-102 4

FRAUD FRAUD 11 103-107 5

EMBEZL EMBEZZLEMENT 12 108-110 3

STLNPRP HAVE STOLEN PROPERTY 13 111-114 4 Buying, receiving, possessing

VANDLSM VANDALISM 14 115-119 5

WEAPONS WEAPONS VIOLATIONS 15 120-124 5 Carrying, possessing, etc.

COMVICE PROSTITUTION/COMM VICE 16 125-128 4 Prostitution and commercialized vice.

SEXOFF SEX OFFENSES 17 129-132 4 Not including forcible rape and prostitution.

DRUGTOT DRUG ABUSE VIOLATIONS-TOTAL 18 133-137 5 Violations of narcotic drug laws. The sum of variables DRGSALE and DRGPOSS.

ICPSR 6850 Page 3

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

DRGSALE DRUG ABUSE SALE/MANUFACTURE 180 138-142 5 The sale and/or manufacture of narcotics. The sum of variables COCSALE through OTHSALE.

COCSALE OPIUM/COCAINE-SALE/MANUFACTURE 18A 143-147 5 Sale and/or manufacture of opium or cocaine and their derivatives (morphine, heroin, codeine)

MJSALE MARIJUANA-SALE/MANUFACTURE 18B 148-151 4 Sale and/or manufacture of marijuana

SYNSALE SYNTHETIC-DRUG SALE/MANUFACTURE 18C 152-155 3 Synthetic narcotics: manufactured narcotics which can cause true drug addiction (Demerol, methadones)

OTHSALE OTHER:DANG NON-NARCOTICS 18D 156-159 4 Dangerous non-narcotic drugs (barbiturates, benzedrine)

DRGPOSS DRUG POSSESSION-SUBTOTAL 185 160-164 5 The sum of variables COCPOSS through OTHPOSS.

COCPOSS OPIUM/COCAINE-POSSESSION 18E 165-169 5 Possession of opium or cocaine and their derivatives (morphine, heroin, codeine)

MJPOSS MARIJUANA-POSSESSION 18F 170-173 4

SYNPOSS SYNTHETIC NARCOTICS-POSSESSION 18G 174-176 3 Synthetic narcotics possession: manufactured narcotics which can cause true drug addiction (demerol, methadones)

OTHPOSS OTHER DRUG-POSSESSION 18H 177-181 5 Other dangerous non-narcotic drugs (barbiturates, benzedrine)

GAMBLE GAMBLING-TOTAL 19 182-185 4 Gambling offenses, Sum of variables BOOKMKG through OTGAMBL.

BOOKMKG BOOKMAKING (HORSE-SPORT) 19A 186-188 3

Page 4 ICPSR 6850

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

NUMBERS NUMBERS & LOTTERY 19B 189-191 3

OTGAMBL GAMBLING-ALL OTHER 19C 192-195 4

OFAGFAM OFFENSES AGAINST FAMILY & CHILD 20 196-199 4 Offenses against the family and children.

DUI DRIVING UNDER INFLUENCE 21 200-204 5

LIQUOR LIQUOR LAW VIOLATIONS 22 205-209 5

DRUNK DRUNKENNESS 23 210-214 5

DISORDR DISORDERLY CONDUCT 24 215-219 5

VAGRANT VAGRANCY 25 220-223 4

ALLOTHR ALL OTHER OFF EXCEPT TRAFFIC 26 224-229 6

SUSPICN SUSPICION 27 230-233 4

CURFEW CURFEW, LOITERING LAWS 28 234-237 4 Juveniles only.

RUNAWAY RUNAWAYS 29 238-242 5 Juveniles only.

ICPSR 6850 Page 5

CODEBOOK FOR ALLOCATED STATEWIDE DATA FOR ARRESTS 1995 (ICPSR 6850, Parts 5-7)

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

STUDYNO ICPSR STUDY NUMBER-6850 1-4 4

EDITION ICPSR EDITION NUMBER 5 1

PART ICPSR PART NUMBER 6 1 Part 5: Statewide Arrest Data, All Ages Part 6: Statewide Arrest Data, Adults Part 7: Statewide Arrest Data, Juveniles

IDNO ICPSR SEQUENTIAL CASE ID NUMBER 7-10 4

FIPS_ST FIPS STATE CODE 11-12 2 see Appendix

FIPS_CTY FIPS COUNTY CODE 13-15 3 see Appendix

SPOPARST STATE POPULATION 16-23 8

CPOPARST TOTAL COUNTY POPULATION OF AGENCIES REPORTING ARRESTS 24-31 8 See Additional Notes in Introduction.

AG_ARRST NUMBER OF AGENCIES IN COUNTY REPORTING ARRESTS 32-34 3 See Additional Notes in Introduction.

JURFLAG MULTI-COUNTY JURISDICTION FLAG 35 1 0=Data not affected by multi-county jurisdiction 1=Data affected by multi-county jurisdiction

SCOVIND COVERAGE INDICATOR 36-43 8.4 see Introduction

SGRNDTOT GRAND TOTAL 44-49 6 Total number of arrests. Includes non-index crimes such as fraud, gambling, forgery, prostitution.

SP1TOT PART 1-TOTAL 50-55 6 Total number of Part I (index) crimes. This is the sum of variables SMURDER through SARSON.

Page 6 ICPSR 6850

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

SP1VLNT PART 1-VIOLENT CRIMES 56-60 5 Sum of variables SMURDER through SAGASSLT.

SP1PRPTY PART 1-PROPERTY CRIMES 61-65 5 Sum of variables SBURGLRY through SARSON.

SMURDER MURDERS 011 66-69 4

SRAPE RAPES 02 70-73 4

SROBBERY ROBBERIES 03 74-78 5

SAGASSLT AGGRAVATED ASSAULTS 04 79-83 5

SBURGLRY BURGLARIES 05 84-88 5

SLARCENY LARCENIES 06 89-93 5

SMVTHEFT MOTOR VEHICLE THEFTS 07 94-98 5

SARSON ARSONS 09 99-101 3

SOTHASLT OTHER ASSAULTS 08 102-106 5

SFRGYCNT FORGERY/COUNTERFEITING 10 107-110 4

SFRAUD FRAUD 11 111-115 5

SEMBEZL EMBEZZLEMENT 12 116-118 3

SSTLNPRP HAVE STOLEN PROPERTY 13 119-122 4 Buying, receiving, possessing

SVANDLSM VANDALISM 14 123-127 5

SWEAPONS WEAPONS VIOLATIONS 15 128-132 5 Carrying, possessing, etc.

SCOMVICE PROSTITUTION/COMM VICE 16 133-136 4 Prostitution and commercialized vice.

SSEXOFF SEX OFFENSES 17 137-140 4 Not including forcible rape and prostitution.

ICPSR 6850 Page 7

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

SDRUGTOT DRUG ABUSE VIOLATIONS-TOTAL 18 141-145 5 Violations of narcotic drug laws. The sum of variables SDRGSALE and SDRGPOSS.

SDRGSALE DRUG ABUSE SALE/MANUFACTURE 180 146-150 5 The sale and/or manufacture of narcotics. The sum of variables SCOCSALE through OTHSALE.

SCOCSALE OPIUM/COCAINE-SALE/MANUFACTURE 18A 151-155 5 Sale and/or manufacture of opium or cocaine and their derivatives (morphine, heroin, codeine)

SMJSALE MARIJUANA-SALE/MANUFACTURE 18B 156-159 4 Sale and/or manufacture of marijuana

SSYNSALE SYNTHETIC-DRUG SALE/MANUFACTURE 18C 160-163 3 Synthetic narcotics: manufactured narcotics which can cause true drug addiction (Demerol, methadones)

SOTHSALE OTHER:DANG NON-NARCOTICS 18D 164-167 4 Dangerous non-narcotic drugs (barbiturates, benzedrine)

SDRGPOSS DRUG POSSESSION-SUBTOTAL 185 168-172 5 The sum of variables SCOCPOSS and SOTHPOSS.

SCOCPOSS OPIUM/COCAINE-POSSESSION 18E 173-177 5 Possession of opium or cocaine and their derivatives (morphine, heroin, codeine)

SMJPOSS MARIJUANA-POSSESSION 18F 178-181 4

SSYNPOSS SYNTHETIC NARCOTICS-POSSESSION 18G 182-184 3 Synthetic narcotics possession: manufactured narcotics which can cause true drug addiction (demerol, methadones)

SOTHPOSS OTHER DRUG-POSSESSION 18H 185-189 5 Other dangerous non-narcotic drugs (barbiturates, benzedrine)

Page 8 ICPSR 6850

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

SGAMBLE GAMBLING-TOTAL 19 190-193 4 Gambling offenses, Sum of variables SBOOKMKG through SOTGAMBL.

SBOOKMKG BOOKMAKING (HORSE-SPORT) 19A 194-196 3

SNUMBERS NUMBERS & LOTTERY 19B 197-199 3

SOTGAMBL GAMBLING-ALL OTHER 19C 200-203 4

SOFAGFAM OFFENSES AGAINST FAMILY & CHILD 20 204-207 4 Offenses against the family and children.

SDUI DRIVING UNDER INFLUENCE 21 208-212 5

SLIQUOR LIQUOR LAW VIOLATIONS 22 213-217 5

SDRUNK DRUNKENNESS 23 218-222 5

SDISORDR DISORDERLY CONDUCT 24 223-227 5

SVAGRANT VAGRANCY 25 228-231 4

SALLOTHR ALL OTHER OFF EXCEPT TRAFFIC 26 232-237 6

SSUSPICN SUSPICION 27 238-241 4

SCURFEW CURFEW, LOITERING LAWS 28 242-245 4 Juveniles only.

SRUNAWAY RUNAWAYS 29 246-250 5 Juveniles only.

ICPSR 6850 Page 9

CODEBOOK FOR UCR COUNTY-LEVEL CRIMES REPORTED DATA 1995 (ICPSR 6850, Part 4)

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

STUDYNO ICPSR STUDY NUMBER-6850 1-4 4

EDITION ICPSR EDITION NUMBER-1 5 1

PART ICPSR PART NUMBER-4 6 1

IDNO ICPSR SEQUENTIAL CASE ID NUMBER 7-10 4

FIPS_ST FIPS STATE CODE 11-12 2 see Appendix

FIPS_CTY FIPS COUNTY CODE 13-15 3 see Appendix

CPOPARST TOTAL COUNTY POPULATION OF AGENCIES 16-23 8 REPORTING ARRESTS See Additional Notes in Introduction.

CPOPCRIM COUNTY POPULATION OF AGENCIES REPORTING CRIMES 24-31 8 See Additional Notes in Introduction.

AG_ARRST NUMBER OF AGENCIES IN COUNTY REPORTING ARRESTS 32-34 3 See Additional Notes in Introduction.

AG_OFF NUMBER OF AGENCIES IN COUNTY REPORTING CRIMES 35-37 3 See Additional Notes in Introduction.

COVIND COVERAGE INDICATOR 38-45 8.4 see Introduction

INDEX INDEX 46-51 6 Total number of UCR Index crimes, excluding arson. The sum of variables MURDER through MVTHEFT.

MODINDX MODIFIED INDEX 52-57 6 Total number of UCR Index crimes, including arson. The sum of variables MURDER through ARSON.

MURDER MURDERS 011 58-61 4

RAPE FORCIBLE RAPES 02 62-65 4

ROBBERY ROBBERIES 03 66-70 5

Page 10 ICPSR 6850

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

AGASLT AGGRAVATED ASSAULTS 04 71-75 5

BURGLRY BURGLARIES 05 76-81 6

LARCENY LARCENIES 06 82-87 6

MVTHEFT MOTOR VEHICLE THEFTS 07 88-93 6

ARSON ARSONS 09 94-97 4

ICPSR 6850 Page 11

CODEBOOK FOR ALLOCATED STATEWIDE DATA FOR CRIMES REPORTED 1995 (ICPSR 6850, Part 8)

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

STUDYNO ICPSR STUDY NUMBER-6850 1-4 4

EDITION ICPSR EDITION NUMBER-1 5 1

PART ICPSR PART NUMBER-8 6 1

IDNO ICPSR SEQUENTIAL CASE ID NUMBER 7-10 4

FIPS_ST FIPS STATE CODE 11-12 2 see Appendix

FIPS_CTY FIPS COUNTY CODE 13-15 3 see Appendix

SPOPARST STATE POPULATION OF AGENCIES REPORTING ARRESTS 16-23 8

SPOPCRIM STATE POPULATION OF AGENCIES REPORTING CRIMES 24-31 8

CPOPCRIM COUNTY POPULATION OF AGENCIES REPORTING CRIMES 32-38 7 See Additional Notes in Introduction.

AG_ARRST NUMBER OF AGENCIES IN COUNTY REPORTING ARRESTS 39-41 3 See Additional Notes in Introduction.

AG_OFF NUMBER OF AGENCIES IN COUNTY REPORTING CRIMES 42-44 3 See Additional Notes in Introduction.

COVIND COVERAGE INDICATOR 45-52 8.4 see Introduction

SINDEX INDEX 53-58 6 Total number of UCR Index crimes, excluding arson. The sum of variables SMURDER through SMVTHEFT.

SMODINDX MODIFIED INDEX 59-64 6 Total number of UCR Index crimes, including arson. The sum of variables SMURDER through SARSON.

SMURDER MURDERS 011 65-68 4

SRAPE FORCIBLE RAPES 02 69-72 4

Page 12 ICPSR 6850

FBI Var # Variable Offense Code Columns Width ------------------------------------------------------------------

SROBBERY ROBBERIES 03 73-77 5

SAGASLT AGGRAVATED ASSAULTS 04 78-82 5

SBURGLRY BURGLARIES 05 83-88 6

SLARCENY LARCENIES 06 89-94 6

SMVTHEFT MOTOR VEHICLE THEFTS 07 95-100 6

SARSON ARSONS 09 101-104 4

ICPSR 6850 Page 13

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

01 Alabama 01099 Monroe ------------- 01101 Montgomery 01001 Autauga 01103 Morgan 01003 Baldwin 01105 Perry 01005 Barbour 01107 Pickens 01007 Bibb 01109 Pike 01009 Blount 01111 Randolph 01011 Bullock 01113 Russell 01013 Butler 01115 St Clair 01015 Calhoun 01117 Shelby 01017 Chambers 01119 Sumter 01019 Cherokee 01121 Talladega 01021 Chilton 01123 Tallapoosa 01023 Choctaw 01125 Tuscaloosa 01025 Clarke 01127 Walker 01027 Clay 01129 Washington 01029 Cleburne 01131 Wilcox 01031 Coffee 01133 Winston 01033 Colbert 02 Alaska 01035 Conecuh ------------ 01037 Coosa 02013 Aleutians East 01039 Covington 02016 Aleutians West 01041 Crenshaw 02020 Anchorage 01043 Cullman 02050 Bethel 01045 Dale 02060 Bristol Bay 01047 Dallas 02070 Dillingham 01049 De Kalb 02090 Fairbanks North Star 01051 Elmore 02100 Haines 01053 Escambia 02110 Juneau 01055 Etowah 02122 Kenai Peninsula 01057 Fayette 02130 Ketchikan Gateway 01059 Franklin 02150 Kodiak Island 01061 Geneva 02164 Lake and Peninsula 01063 Greene 02170 Matanuska-Susitna 01065 Hale 02180 Nome 01067 Henry 02185 North Slope 01069 Houston 02188 Northwest Arctic 01071 Jackson 02201 Prince of Wales-Outer Ketchikan 01073 Jefferson 02220 Sitka 01075 Lamar 02232 Skagway-Hoonah-Angoon 01077 Lauderdale 02240 Southeast Fairbanks 01079 Lawrence 02261 Valdez-Cordova 01081 Lee 02270 Wade Hampton 01083 Limestone 02280 Wrangell-Petersburg 01085 Lowndes 02282 Yakutat 01087 Macon 02290 Yukon-Koyukuk 01089 Madison 01091 Marengo 01093 Marion 04 Arizona 01095 Marshall ------------- 01097 Mobile 04001 Apache

Page 14 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

04003 Cochise 05071 Johnson 04005 Coconino 05073 Lafayette 04007 Gila 05075 Lawrence 04009 Graham 05077 Lee 04011 Greenlee 05079 Lincoln 04012 La Paz 05081 Little River 04013 Maricopa 05083 Logan 04015 Mohave 05085 Lonoke 04017 Navajo 05087 Madison 04019 Pima 05089 Marion 04021 Pinal 05091 Miller 04023 Santa Cruz 05093 Mississippi 04025 Yavapai 05095 Monroe 04027 Yuma 05097 Montgomery 05 Arkansas 05099 Nevada -------------- 05101 Newton 05001 Arkansas 05103 Ouachita 05003 Ashley 05105 Perry 05005 Baxter 05107 Phillips 05007 Benton 05109 Pike 05009 Boone 05111 Poinsett 05011 Bradley 05113 Polk 05013 Calhoun 05115 Pope 05015 Carroll 05117 Prairie 05017 Chicot 05119 Pulaski 05019 Clark 05121 Randolph 05021 Clay 05123 St Francis 05023 Cleburne 05125 Saline 05025 Cleveland 05127 Scott 05027 Columbia 05129 Searcy 05029 Conway 05131 Sebastian 05031 Craighead 05133 Sevier 05033 Crawford 05135 Sharp 05035 Crittenden 05137 Stone 05037 Cross 05139 Union 05039 Dallas 05141 Van Buren 05041 Desha 05143 Washington 05043 Drew 05145 White 05045 Faulkner 05147 Woodruff 05047 Franklin 05149 Yell 05049 Fulton 06 California 05051 Garland ---------------- 05053 Grant 06001 Alameda 05055 Greene 06003 Alpine 05057 Hempstead 06005 Amador 05059 Hot Spring 06007 Butte 05061 Howard 06009 Calaveras 05063 Independence 06011 Colusa 05065 Izard 06013 Contra Costa 05067 Jackson 06015 Del Norte 05069 Jefferson 06017 El Dorado

ICPSR 6850 Page 15

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

06019 Fresno 06021 Glenn 06023 Humboldt 06025 Imperial 08 Colorado 06027 Inyo -------------- 06029 Kern 08001 Adams 06031 Kings 08003 Alamosa 06033 Lake 08005 Arapahoe 06035 Lassen 08007 Archuleta 06037 Los Angeles 08009 Baca 06039 Madera 08011 Bent 06041 Marin 08013 Boulder 06043 Mariposa 08015 Chaffee 06045 Mendocino 08017 Cheyenne 06047 Merced 08019 Clear Creek 06049 Modoc 08021 Conejos 06051 Mono 08023 Costilla 06053 Monterey 08025 Crowley 06055 Napa 08027 Custer 06057 Nevada 08029 Delta 06059 Orange 08031 Denver 06061 Placer 08033 Dolores 06063 Plumas 08035 Douglas 06065 Riverside 08037 Eagle 06067 Sacramento 08039 Elbert 06069 San Benito 08041 El Paso 06071 San Bernardino 08043 Fremont 06073 San Diego 08045 Garfield 06075 San Francisco 08047 Gilpin 06077 San Joaquin 08049 Grand 06079 San Luis Obispo 08051 Gunnison 06081 San Mateo 08053 Hinsdale 06083 Santa Barbara 08055 Huerfano 06085 Santa Clara 08057 Jackson 06087 Santa Cruz 08059 Jefferson 06089 Shasta 08061 Kiowa 06091 Sierra 08063 Kit Carson 06093 Siskiyou 08065 Lake 06095 Solano 08067 La Plata 06097 Sonoma 08069 Larimer 06099 Stanislaus 08071 Las Animas 06101 Sutter 08073 Lincoln 06103 Tehama 08075 Logan 06105 Trinity 08077 Mesa 06107 Tulare 08079 Mineral 06109 Tuolumne 08081 Moffat 06111 Ventura 08083 Montezuma 06113 Yolo 08085 Montrose 06115 Yuba 08087 Morgan

Page 16 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

08089 Otero 12025 Dade 08091 Ouray 12027 De Soto 08093 Park 12029 Dixie 08095 Phillips 12031 Duval 08097 Pitkin 12033 Escambia 08099 Prowers 12035 Flagler 08101 Pueblo 12037 Franklin 08103 Rio Blanco 12039 Gadsden 08105 Rio Grande 12041 Gilchrist 08107 Routt 12043 Glades 08109 Saguache 12045 Gulf 08111 San Juan 12047 Hamilton 08113 San Miguel 12049 Hardee 08115 Sedgwick 12051 Hendry 08117 Summit 12053 Hernando 08119 Teller 12055 Highlands 08121 Washington 12057 Hillsborough 08123 Weld 12059 Holmes 08125 Yuma 12061 Indian River 09 Connecticut 12063 Jackson ----------------- 12065 Jefferson 09001 Fairfield 12067 Lafayette 09003 Hartford 12069 Lake 09005 Litchfield 12071 Lee 09007 Middlesex 12073 Leon 09009 New Haven 12075 Levy 09011 New London 12077 Liberty 09013 Tolland 12079 Madison 09015 Windham 12081 Manatee 10 Delaware 12083 Marion -------------- 12085 Martin 10001 Kent 12087 Monroe 10003 New Castle 12089 Nassau 10005 Sussex 12091 Okaloosa 11 District of Columbia 12093 Okeechobee -------------------------- 12095 Orange 11001 District of Columbia 12097 Osceola 12 Florida 12099 Palm Beach ------------- 12101 Pasco 12001 Alachua 12103 Pinellas 12003 Baker 12105 Polk 12005 Bay 12107 Putnam 12007 Bradford 12109 St Johns 12009 Brevard 12111 St Lucie 12011 Broward 12113 Santa Rosa 12013 Calhoun 12115 Sarasota 12015 Charlotte 12117 Seminole 12017 Citrus 12119 Sumter 12019 Clay 12121 Suwannee 12021 Collier 12123 Taylor 12023 Columbia 12125 Union

ICPSR 6850 Page 17

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

12127 Volusia 13091 Dodge 12129 Wakulla 13093 Dooly 12131 Walton 13095 Dougherty 12133 Washington 13097 Douglas 13 Georgia 13099 Early ------------- 13101 Echols 13001 Appling 13103 Effingham 13003 Atkinson 13105 Elbert 13005 Bacon 13107 Emanuel 13007 Baker 13109 Evans 13009 Baldwin 13111 Fannin 13011 Banks 13113 Fayette 13013 Barrow 13115 Floyd 13015 Bartow 13117 Forsyth 13017 Ben Hill 13119 Franklin 13019 Berrien 13121 Fulton 13021 Bibb 13123 Gilmer 13023 Bleckley 13125 Glascock 13025 Brantley 13127 Glynn 13027 Brooks 13129 Gordon 13029 Bryan 13131 Grady 13031 Bulloch 13133 Greene 13033 Burke 13135 Gwinnett 13035 Butts 13137 Habersham 13037 Calhoun 13139 Hall 13039 Camden 13141 Hancock 13043 Candler 13143 Haralson 13045 Carroll 13145 Harris 13047 Catoosa 13147 Hart 13049 Charlton 13149 Heard 13051 Chatham 13151 Henry 13053 Chattahoochee 13153 Houston 13055 Chattooga 13155 Irwin 13057 Cherokee 13157 Jackson 13059 Clarke 13159 Jasper 13061 Clay 13161 Jeff Davis 13063 Clayton 13163 Jefferson 13065 Clinch 13165 Jenkins 13067 Cobb 13167 Johnson 13069 Coffee 13169 Jones 13071 Colquitt 13171 Lamar 13073 Columbia 13173 Lanier 13075 Cook 13175 Laurens 13077 Coweta 13177 Lee 13079 Crawford 13179 Liberty 13081 Crisp 13181 Lincoln 13083 Dade 13183 Long 13085 Dawson 13185 Lowndes 13087 Decatur 13187 Lumpkin 13089 De Kalb 13189 McDuffie

Page 18 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

13191 McIntosh 13295 Walker 13193 Macon 13297 Walton 13195 Madison 13299 Ware 13197 Marion 13301 Warren 13199 Meriwether 13303 Washington 13201 Miller 13305 Wayne 13205 Mitchell 13307 Webster 13207 Monroe 13309 Wheeler 13209 Montgomery 13311 White 13211 Morgan 13313 Whitfield 13213 Murray 13315 Wilcox 13215 Muscogee 13317 Wilkes 13217 Newton 13319 Wilkinson 13219 Oconee 13321 Worth 13221 Oglethorpe 15 Hawaii 13223 Paulding ------------ 13225 Peach 15001 Hawaii 13227 Pickens 15003 Honolulu 13229 Pierce 15005 Kalawao 13231 Pike 15007 Kauai 13233 Polk 15009 Maui 13235 Pulaski 16 Idaho 13237 Putnam ----------- 13239 Quitman 16001 Ada 13241 Rabun 16003 Adams 13243 Randolph 16005 Bannock 13245 Richmond 16007 Bear Lake 13247 Rockdale 16009 Benewah 13249 Schley 16011 Bingham 13251 Screven 16013 Blaine 13253 Seminole 16015 Boise 13255 Spalding 16017 Bonner 13257 Stephens 16019 Bonneville 13259 Stewart 16021 Boundary 13261 Sumter 16023 Butte 13263 Talbot 16025 Camas 13265 Taliaferro 16027 Canyon 13267 Tattnall 16029 Caribou 13269 Taylor 16031 Cassia 13271 Telfair 16033 Clark 13273 Terrell 16035 Clearwater 13275 Thomas 16037 Custer 13277 Tift 16039 Elmore 13279 Toombs 16041 Franklin 13281 Towns 16043 Fremont 13283 Treutlen 16045 Gem 13285 Troup 16047 Gooding 13287 Turner 16049 Idaho 13289 Twiggs 16051 Jefferson 13291 Union 16053 Jerome 13293 Upson 16055 Kootenai

ICPSR 6850 Page 19

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

16057 Latah 17065 Hamilton 16059 Lemhi 17067 Hancock 16061 Lewis 17069 Hardin 16063 Lincoln 17071 Henderson 16065 Madison 17073 Henry 16067 Minidoka 17075 Iroquois 16069 Nez Perce 17077 Jackson 16071 Oneida 17079 Jasper 16073 Owyhee 17081 Jefferson 16075 Payette 17083 Jersey 16077 Power 17085 Jo Daviess 16079 Shoshone 17087 Johnson 16081 Teton 17089 Kane 16083 Twin Falls 17091 Kankakee 16085 Valley 17093 Kendall 16087 Washington 17095 Knox 17 Illinois 17097 Lake -------------- 17099 La Salle 17001 Adams 17101 Lawrence 17003 Alexander 17103 Lee 17005 Bond 17105 Livingston 17007 Boone 17107 Logan 17009 Brown 17109 McDonough 17011 Bureau 17111 McHenry 17013 Calhoun 17113 McLean 17015 Carroll 17115 Macon 17017 Cass 17117 Macoupin 17019 Champaign 17119 Madison 17021 Christian 17121 Marion 17023 Clark 17123 Marshall 17025 Clay 17125 Mason 17027 Clinton 17127 Massac 17029 Coles 17129 Menard 17031 Cook 17131 Mercer 17033 Crawford 17133 Monroe 17035 Cumberland 17135 Montgomery 17037 De Kalb 17137 Morgan 17039 De Witt 17139 Moultrie 17041 Douglas 17141 Ogle 17043 Du Page 17143 Peoria 17045 Edgar 17145 Perry 17047 Edwards 17147 Piatt 17049 Effingham 17149 Pike 17051 Fayette 17151 Pope 17053 Ford 17153 Pulaski 17055 Franklin 17155 Putnam 17057 Fulton 17157 Randolph 17059 Gallatin 17159 Richland 17061 Greene 17161 Rock Island 17063 Grundy 17163 St Clair

Page 20 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

17165 Saline 18057 Hamilton 17167 Sangamon 18059 Hancock 17169 Schuyler 18061 Harrison 17171 Scott 18063 Hendricks 17173 Shelby 18065 Henry 17175 Stark 18067 Howard 17177 Stephenson 18069 Huntington 17179 Tazewell 18071 Jackson 17181 Union 18073 Jasper 17183 Vermilion 18075 Jay 17185 Wabash 18077 Jefferson 17187 Warren 18079 Jennings 17189 Washington 18081 Johnson 17191 Wayne 18083 Knox 17193 White 18085 Kosciusko 17195 Whiteside 18087 Lagrange 17197 Will 18089 Lake 17199 Williamson 18091 La Porte 17201 Winnebago 18093 Lawrence 17203 Woodford 18095 Madison 18 Indiana 18097 Marion ------------- 18099 Marshall 18001 Adams 18101 Martin 18003 Allen 18103 Miami 18005 Bartholomew 18105 Monroe 18007 Benton 18107 Montgomery 18009 Blackford 18109 Morgan 18011 Boone 18111 Newton 18013 Brown 18113 Noble 18015 Carroll 18115 Ohio 18017 Cass 18117 Orange 18019 Clark 18119 Owen 18021 Clay 18121 Parke 18023 Clinton 18123 Perry 18025 Crawford 18125 Pike 18027 Daviess 18127 Porter 18029 Dearborn 18129 Posey 18031 Decatur 18131 Pulaski 18033 De Kalb 18133 Putnam 18035 Delaware 18135 Randolph 18037 Dubois 18137 Ripley 18039 Elkhart 18139 Rush 18041 Fayette 18141 St Joseph 18043 Floyd 18143 Scott 18045 Fountain 18145 Shelby 18047 Franklin 18147 Spencer 18049 Fulton 18149 Starke 18051 Gibson 18151 Steuben 18053 Grant 18153 Sullivan 18055 Greene 18155 Switzerland

ICPSR 6850 Page 21

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

18157 Tippecanoe 19069 Franklin 18159 Tipton 19071 Fremont 18161 Union 19073 Greene 18163 Vanderburgh 19075 Grundy 18165 Vermillion 19077 Guthrie 18167 Vigo 19079 Hamilton 18169 Wabash 19081 Hancock 18171 Warren 19083 Hardin 18173 Warrick 19085 Harrison 18175 Washington 19087 Henry 18177 Wayne 19089 Howard 18179 Wells 19091 Humboldt 18181 White 19093 Ida 18183 Whitley 19095 Iowa 19 Iowa 19097 Jackson ---------- 19099 Jasper 19001 Adair 19101 Jefferson 19003 Adams 19103 Johnson 19005 Allamakee 19105 Jones 19007 Appanoose 19107 Keokuk 19009 Audubon 19109 Kossuth 19011 Benton 19111 Lee 19013 Black Hawk 19113 Linn 19015 Boone 19115 Louisa 19017 Bremer 19117 Lucas 19019 Buchanan 19119 Lyon 19021 Buena Vista 19121 Madison 19023 Butler 19123 Mahaska 19025 Calhoun 19125 Marion 19027 Carroll 19127 Marshall 19029 Cass 19129 Mills 19031 Cedar 19131 Mitchell 19033 Cerro Gordo 19133 Monona 19035 Cherokee 19135 Monroe 19037 Chickasaw 19137 Montgomery 19039 Clarke 19139 Muscatine 19041 Clay 19141 O'Brien 19043 Clayton 19143 Osceola 19045 Clinton 19145 Page 19047 Crawford 19147 Palo Alto 19049 Dallas 19149 Plymouth 19051 Davis 19151 Pocahontas 19053 Decatur 19153 Polk 19055 Delaware 19155 Pottawattamie 19057 Des Moines 19157 Poweshiek 19059 Dickinson 19159 Ringgold 19061 Dubuque 19161 Sac 19063 Emmet 19163 Scott 19065 Fayette 19165 Shelby 19067 Floyd 19167 Sioux

Page 22 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

19169 Story 20067 Grant 19171 Tama 20069 Gray 19173 Taylor 20071 Greeley 19175 Union 20073 Greenwood 19177 Van Buren 20075 Hamilton 19179 Wapello 20077 Harper 19181 Warren 20079 Harvey 19183 Washington 20081 Haskell 19185 Wayne 20083 Hodgeman 19187 Webster 20085 Jackson 19189 Winnebago 20087 Jefferson 19191 Winneshiek 20089 Jewell 19193 Woodbury 20091 Johnson 19195 Worth 20093 Kearny 19197 Wright 20095 Kingman 20 Kansas 20097 Kiowa ------------ 20099 Labette 20001 Allen 20101 Lane 20003 Anderson 20103 Leavenworth 20005 Atchison 20105 Lincoln 20007 Barber 20107 Linn 20009 Barton 20109 Logan 20011 Bourbon 20111 Lyon 20013 Brown 20113 McPherson 20015 Butler 20115 Marion 20017 Chase 20117 Marshall 20019 Chautauqua 20119 Meade 20021 Cherokee 20121 Miami 20023 Cheyenne 20123 Mitchell 20025 Clark 20125 Montgomery 20027 Clay 20127 Morris 20029 Cloud 20129 Morton 20031 Coffey 20131 Nemaha 20033 Comanche 20133 Neosho 20035 Cowley 20135 Ness 20037 Crawford 20137 Norton 20039 Decatur 20139 Osage 20041 Dickinson 20141 Osborne 20043 Doniphan 20143 Ottawa 20045 Douglas 20145 Pawnee 20047 Edwards 20147 Phillips 20049 Elk 20149 Pottawatomie 20051 Ellis 20151 Pratt 20053 Ellsworth 20153 Rawlins 20055 Finney 20155 Reno 20057 Ford 20157 Republic 20059 Franklin 20159 Rice 20061 Geary 20161 Riley 20063 Gove 20163 Rooks 20065 Graham 20165 Rush

ICPSR 6850 Page 23

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

20167 Russell 21053 Clinton 20169 Saline 21055 Crittenden 20171 Scott 21057 Cumberland 20173 Sedgwick 21059 Daviess 20175 Seward 21061 Edmonson 20177 Shawnee 21063 Elliott 20179 Sheridan 21065 Estill 20181 Sherman 21067 Fayette 20183 Smith 21069 Fleming 20185 Stafford 21071 Floyd 20187 Stanton 21073 Franklin 20189 Stevens 21075 Fulton 20191 Sumner 21077 Gallatin 20193 Thomas 21079 Garrard 20195 Trego 21081 Grant 20197 Wabaunsee 21083 Graves 20199 Wallace 21085 Grayson 20201 Washington 21087 Green 20203 Wichita 21089 Greenup 20205 Wilson 21091 Hancock 20207 Woodson 21093 Hardin 20209 Wyandotte 21095 Harlan 21 Kentucky 21097 Harrison -------------- 21099 Hart 21001 Adair 21101 Henderson 21003 Allen 21103 Henry 21005 Anderson 21105 Hickman 21007 Ballard 21107 Hopkins 21009 Barren 21109 Jackson 21011 Bath 21111 Jefferson 21013 Bell 21113 Jessamine 21015 Boone 21115 Johnson 21017 Bourbon 21117 Kenton 21019 Boyd 21119 Knott 21021 Boyle 21121 Knox 21023 Bracken 21123 Larue 21025 Breathitt 21125 Laurel 21027 Breckinridge 21127 Lawrence 21029 Bullitt 21129 Lee 21031 Butler 21131 Leslie 21033 Caldwell 21133 Letcher 21035 Calloway 21135 Lewis 21037 Campbell 21137 Lincoln 21039 Carlisle 21139 Livingston 21041 Carroll 21141 Logan 21043 Carter 21143 Lyon 21045 Casey 21145 McCracken 21047 Christian 21147 McCreary 21049 Clark 21149 McLean 21051 Clay 21151 Madison

Page 24 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

21153 Magoffin 22009 Avoyelles 21155 Marion 22011 Beauregard 21157 Marshall 22013 Bienville 21159 Martin 22015 Bossier 21161 Mason 22017 Caddo 21163 Meade 22019 Calcasieu 21165 Menifee 22021 Caldwell 21167 Mercer 22023 Cameron 21169 Metcalfe 22025 Catahoula 21171 Monroe 22027 Claiborne 21173 Montgomery 22029 Concordia 21175 Morgan 22031 De Soto 21177 Muhlenberg 22033 East Baton Rouge 21179 Nelson 22035 East Carroll 21181 Nicholas 22037 East Feliciana 21183 Ohio 22039 Evangeline 21185 Oldham 22041 Franklin 21187 Owen 22043 Grant 21189 Owsley 22045 Iberia 21191 Pendleton 22047 Iberville 21193 Perry 22049 Jackson 21195 Pike 22051 Jefferson 21197 Powell 22053 Jefferson Davis 21199 Pulaski 22055 Lafayette 21201 Robertson 22057 Lafourche 21203 Rockcastle 22059 La Salle 21205 Rowan 22061 Lincoln 21207 Russell 22063 Livingston 21209 Scott 22065 Madison 21211 Shelby 22067 Morehouse 21213 Simpson 22069 Natchitoches 21215 Spencer 22071 Orleans 21217 Taylor 22073 Ouachita 21219 Todd 22075 Plaquemines 21221 Trigg 22077 Pointe Coupee 21223 Trimble 22079 Rapides 21225 Union 22081 Red River 21227 Warren 22083 Richland 21229 Washington 22085 Sabine 21231 Wayne 22087 St Bernard 21233 Webster 22089 St Charles 21235 Whitley 22091 St Helena 21237 Wolfe 22093 St James 21239 Woodford 22095 St John The Baptist 22 Louisiana (Parishes) 22097 St Landry -------------------------- 22099 St Martin 22001 Acadia 22101 St Mary 22003 Allen 22103 St Tammany 22005 Ascension 22105 Tangipahoa 22007 Assumption 22107 Tensas

ICPSR 6850 Page 25

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

22109 Terrebonne 24043 Washington 22111 Union 24045 Wicomico 22113 Vermilion 24047 Worcester 22115 Vernon 24510 Baltimore city 22117 Washington 25 Massachusetts 22119 Webster ------------------- 22121 West Baton Rouge 25001 Barnstable 22123 West Carroll 25003 Berkshire 22125 West Feliciana 25005 Bristol 22127 Winn 25007 Dukes 23 Maine 25009 Essex ----------- 25011 Franklin 23001 Androscoggin 25013 Hampden 23003 Aroostook 25015 Hampshire 23005 Cumberland 25017 Middlesex 23007 Franklin 25019 Nantucket 23009 Hancock 25021 Norfolk 23011 Kennebec 25023 Plymouth 23013 Knox 25025 Suffolk 23015 Lincoln 25027 Worcester 23017 Oxford 26 Michigan 23019 Penobscot -------------- 23021 Piscataquis 26001 Alcona 23023 Sagadahoc 26003 Alger 23025 Somerset 26005 Allegan 23027 Waldo 26007 Alpena 23029 Washington 26009 Antrim 23031 York 26011 Arenac 24 Maryland 26013 Baraga -------------- 26015 Barry 24001 Allegany 26017 Bay 24003 Anne Arundel 26019 Benzie 24005 Baltimore 26021 Berrien 24009 Calvert 26023 Branch 24011 Caroline 26025 Calhoun 24013 Carroll 26027 Cass 24015 Cecil 26029 Charlevoix 24017 Charles 26031 Cheboygan 24019 Dorchester 26033 Chippewa 24021 Frederick 26035 Clare 24023 Garrett 26037 Clinton 24025 Harford 26039 Crawford 24027 Howard 26041 Delta 24029 Kent 26043 Dickinson 24031 Montgomery 26045 Eaton 24033 Prince George's 26047 Emmet 24035 Queen Anne's 26049 Genesee 24037 St Mary's 26051 Gladwin 24039 Somerset 26053 Gogebic 24041 Talbot 26055 Grand Traverse

Page 26 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

26057 Gratiot 26157 Tuscola 26059 Hillsdale 26159 Van Buren 26061 Houghton 26161 Washtenaw 26063 Huron 26163 Wayne 26065 Ingham 26165 Wexford 26067 Ionia 27 Minnesota 26069 Iosco --------------- 26071 Iron 27001 Aitkin 26073 Isabella 27003 Anoka 26075 Jackson 27005 Becker 26077 Kalamazoo 27007 Beltrami 26079 Kalkaska 27009 Benton 26081 Kent 27011 Big Stone 26083 Keweenaw 27013 Blue Earth 26085 Lake 27015 Brown 26087 Lapeer 27017 Carlton 26089 Leelanau 27019 Carver 26091 Lenawee 27021 Cass 26093 Livingston 27023 Chippewa 26095 Luce 27025 Chisago 26097 Mackinac 27027 Clay 26099 Macomb 27029 Clearwater 26101 Manistee 27031 Cook 26103 Marquette 27033 Cottonwood 26105 Mason 27035 Crow Wing 26107 Mecosta 27037 Dakota 26109 Menominee 27039 Dodge 26111 Midland 27041 Douglas 26113 Missaukee 27043 Faribault 26115 Monroe 27045 Fillmore 26117 Montcalm 27047 Freeborn 26119 Montmorency 27049 Goodhue 26121 Muskegon 27051 Grant 26123 Newaygo 27053 Hennepin 26125 Oakland 27055 Houston 26127 Oceana 27057 Hubbard 26129 Ogemaw 27059 Isanti 26131 Ontonagon 27061 Itasca 26133 Osceola 27063 Jackson 26135 Oscoda 27065 Kanabec 26137 Otsego 27067 Kandiyohi 26139 Ottawa 27069 Kittson 26141 Presque Isle 27071 Koochiching 26143 Roscommon 27073 Lac qui Parle 26145 Saginaw 27075 Lake 26147 St Clair 27077 Lake Of The Woods 26149 St Joseph 27079 Le Sueur 26151 Sanilac 27081 Lincoln 26153 Schoolcraft 27083 Lyon 26155 Shiawassee 27085 McLeod

ICPSR 6850 Page 27

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

27087 Mahnomen 28009 Benton 27089 Marshall 28011 Bolivar 27091 Martin 28013 Calhoun 27093 Meeker 28015 Carroll 27095 Mille Lacs 28017 Chickasaw 27097 Morrison 28019 Choctaw 27099 Mower 28021 Claiborne 27101 Murray 28023 Clarke 27103 Nicollet 28025 Clay 27105 Nobles 28027 Coahoma 27107 Norman 28029 Copiah 27109 Olmsted 28031 Covington 27111 Otter Tail 28033 De Soto 27113 Pennington 28035 Forrest 27115 Pine 28037 Franklin 27117 Pipestone 28039 George 27119 Polk 28041 Greene 27121 Pope 28043 Grenada 27123 Ramsey 28045 Hancock 27125 Red Lake 28047 Harrison 27127 Redwood 28049 Hinds 27129 Renville 28051 Holmes 27131 Rice 28053 Humphreys 27133 Rock 28055 Issaquena 27135 Roseau 28057 Itawamba 27137 St Louis 28059 Jackson 27139 Scott 28061 Jasper 27141 Sherburne 28063 Jefferson 27143 Sibley 28065 Jefferson Davis 27145 Stearns 28067 Jones 27147 Steele 28069 Kemper 27149 Stevens 28071 Lafayette 27151 Swift 28073 Lamar 27153 Todd 28075 Lauderdale 27155 Traverse 28077 Lawrence 27157 Wabasha 28079 Leake 27159 Wadena 28081 Lee 27161 Waseca 28083 Leflore 27163 Washington 28085 Lincoln 27165 Watonwan 28087 Lowndes 27167 Wilkin 28089 Madison 27169 Winona 28091 Marion 27171 Wright 28093 Marshall 27173 Yellow Medicine 28095 Monroe 28 Mississippi 28097 Montgomery ----------------- 28099 Neshoba 28001 Adams 28101 Newton 28003 Alcorn 28103 Noxubee 28005 Amite 28105 Oktibbeha 28007 Attala 28107 Panola

Page 28 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

28109 Pearl River 29041 Chariton 28111 Perry 29043 Christian 28113 Pike 29045 Clark 28115 Pontotoc 29047 Clay 28117 Prentiss 29049 Clinton 28119 Quitman 29051 Cole 28121 Rankin 29053 Cooper 28123 Scott 29055 Crawford 28125 Sharkey 29057 Dade 28127 Simpson 29059 Dallas 28129 Smith 29061 Daviess 28131 Stone 29063 De Kalb 28133 Sunflower 29065 Dent 28135 Tallahatchie 29067 Douglas 28137 Tate 29069 Dunklin 28139 Tippah 29071 Franklin 28141 Tishomingo 29073 Gasconade 28143 Tunica 29075 Gentry 28145 Union 29077 Greene 28147 Walthall 29079 Grundy 28149 Warren 29081 Harrison 28151 Washington 29083 Henry 28153 Wayne 29085 Hickory 28155 Webster 29087 Holt 28157 Wilkinson 29089 Howard 28159 Winston 29091 Howell 28161 Yalobusha 29093 Iron 28163 Yazoo 29095 Jackson 29 Missouri 29097 Jasper -------------- 29099 Jefferson 29001 Adair 29101 Johnson 29003 Andrew 29103 Knox 29005 Atchison 29105 Laclede 29007 Audrain 29107 Lafayette 29009 Barry 29109 Lawrence 29011 Barton 29111 Lewis 29013 Bates 29113 Lincoln 29015 Benton 29115 Linn 29017 Bollinger 29117 Livingston 29019 Boone 29119 McDonald 29021 Buchanan 29121 Macon 29023 Butler 29123 Madison 29025 Caldwell 29125 Maries 29027 Callaway 29127 Marion 29029 Camden 29129 Mercer 29031 Cape Girardeau 29131 Miller 29033 Carroll 29133 Mississippi 29035 Carter 29135 Moniteau 29037 Cass 29137 Monroe 29039 Cedar 29139 Montgomery

ICPSR 6850 Page 29

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

29141 Morgan 30007 Broadwater 29143 New Madrid 30009 Carbon 29145 Newton 30011 Carter 29147 Nodaway 30013 Cascade 29149 Oregon 30015 Chouteau 29151 Osage 30017 Custer 29153 Ozark 30019 Daniels 29155 Pemiscot 30021 Dawson 29157 Perry 30023 Deer Lodge 29159 Pettis 30025 Fallon 29161 Phelps 30027 Fergus 29163 Pike 30029 Flathead 29165 Platte 30031 Gallatin 29167 Polk 30033 Garfield 29169 Pulaski 30035 Glacier 29171 Putnam 30037 Golden Valley 29173 Ralls 30039 Granite 29175 Randolph 30041 Hill 29177 Ray 30043 Jefferson 29179 Reynolds 30045 Judith Basin 29181 Ripley 30047 Lake 29183 St Charles 30049 Lewis and Clark 29185 St Clair 30051 Liberty 29186 Ste Genevieve 30053 Lincoln 29187 St Francois 30055 McCone 29189 St Louis 30057 Madison 29195 Saline 30059 Meagher 29197 Schuyler 30061 Mineral 29199 Scotland 30063 Missoula 29201 Scott 30065 Musselshell 29203 Shannon 30067 Park 29205 Shelby 30069 Petroleum 29207 Stoddard 30071 Phillips 29209 Stone 30073 Pondera 29211 Sullivan 30075 Powder River 29213 Taney 30077 Powell 29215 Texas 30079 Prairie 29217 Vernon 30081 Ravalli 29219 Warren 30083 Richland 29221 Washington 30085 Roosevelt 29223 Wayne 30087 Rosebud 29225 Webster 30089 Sanders 29227 Worth 30091 Sheridan 29229 Wright 30093 Silver Bow 29510 St Louis city 30095 Stillwater 30 Montana 30097 Sweet Grass ------------- 30099 Teton 30001 Beaverhead 30101 Toole 30003 Big Horn 30103 Treasure 30005 Blaine 30105 Valley

Page 30 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

30107 Wheatland 31091 Hooker 30109 Wibaux 31093 Howard 30111 Yellowstone 31095 Jefferson 30113 Yellowstone National Park 31097 Johnson 31 Nebraska 31099 Kearney -------------- 31101 Keith 31001 Adams 31103 Keya Paha 31003 Antelope 31105 Kimball 31005 Arthur 31107 Knox 31007 Banner 31109 Lancaster 31009 Blaine 31111 Lincoln 31011 Boone 31113 Logan 31013 Box Butte 31115 Loup 31015 Boyd 31117 McPherson 31017 Brown 31119 Madison 31019 Buffalo 31121 Merrick 31021 Burt 31123 Morrill 31023 Butler 31125 Nance 31025 Cass 31127 Nemaha 31027 Cedar 31129 Nuckolls 31029 Chase 31131 Otoe 31031 Cherry 31133 Pawnee 31033 Cheyenne 31135 Perkins 31035 Clay 31137 Phelps 31037 Colfax 31139 Pierce 31039 Cuming 31141 Platte 31041 Custer 31143 Polk 31043 Dakota 31145 Red Willow 31045 Dawes 31147 Richardson 31047 Dawson 31149 Rock 31049 Deuel 31151 Saline 31051 Dixon 31153 Sarpy 31053 Dodge 31155 Saunders 31055 Douglas 31157 Scotts Bluff 31057 Dundy 31159 Seward 31059 Fillmore 31161 Sheridan 31061 Franklin 31163 Sherman 31063 Frontier 31165 Sioux 31065 Furnas 31167 Stanton 31067 Gage 31169 Thayer 31069 Garden 31171 Thomas 31071 Garfield 31173 Thurston 31073 Gosper 31175 Valley 31075 Grant 31177 Washington 31077 Greeley 31179 Wayne 31079 Hall 31181 Webster 31081 Hamilton 31183 Wheeler 31083 Harlan 31185 York 31085 Hayes 32 Nevada 31087 Hitchcock ------------ 31089 Holt 32001 Churchill

ICPSR 6850 Page 31

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

32003 Clark 35 New Mexico 32005 Douglas ---------------- 32007 Elko 35001 Bernalillo 32009 Esmeralda 35003 Catron 32011 Eureka 35005 Chaves 32013 Humboldt 35006 Cibola 32015 Lander 35007 Colfax 32017 Lincoln 35009 Curry 32019 Lyon 35011 De Baca 32021 Mineral 35013 Dona Ana 32023 Nye 35015 Eddy 32027 Pershing 35017 Grant 32029 Storey 35019 Guadalupe 32031 Washoe 35021 Harding 32033 White Pine 35023 Hidalgo 32510 Carson City 35025 Lea 33 New Hampshire 35027 Lincoln ------------------- 35028 Los Alamos 33001 Belknap 35029 Luna 33003 Carroll 35031 McKinley 33005 Cheshire 35033 Mora 33007 Coos 35035 Otero 33009 Grafton 35037 Quay 33011 Hillsborough 35039 Rio Arriba 33013 Merrimack 35041 Roosevelt 33015 Rockingham 35043 Sandoval 33017 Strafford 35045 San Juan 33019 Sullivan 35047 San Miguel 34 New Jersey 35049 Santa Fe ---------------- 35051 Sierra 34001 Atlantic 35053 Socorro 34003 Bergen 35055 Taos 34005 Burlington 35057 Torrance 34007 Camden 35059 Union 34009 Cape May 35061 Valencia 34011 Cumberland 36 New York 34013 Essex -------------- 34015 Gloucester 36001 Albany 34017 Hudson 36003 Allegany 34019 Hunterdon 36005 Bronx 34021 Mercer 36007 Broome 34023 Middlesex 36009 Cattaraugus 34025 Monmouth 36011 Cayuga 34027 Morris 36013 Chautauqua 34029 Ocean 36015 Chemung 34031 Passaic 36017 Chenango 34033 Salem 36019 Clinton 34035 Somerset 36021 Columbia 34037 Sussex 36023 Cortland 34039 Union 36025 Delaware 34041 Warren 36027 Dutchess

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APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

36029 Erie 37001 Alamance 36031 Essex 37003 Alexander 36033 Franklin 37005 Alleghany 36035 Fulton 37007 Anson 36037 Genesee 37009 Ashe 36039 Greene 37011 Avery 36041 Hamilton 37013 Beaufort 36043 Herkimer 37015 Bertie 36045 Jefferson 37017 Bladen 36047 Kings 37019 Brunswick 36049 Lewis 37021 Buncombe 36051 Livingston 37023 Burke 36053 Madison 37025 Cabarrus 36055 Monroe 37027 Caldwell 36057 Montgomery 37029 Camden 36059 Nassau 37031 Carteret 36061 New York 37033 Caswell 36063 Niagara 37035 Catawba 36065 Oneida 37037 Chatham 36067 Onondaga 37039 Cherokee 36069 Ontario 37041 Chowan 36071 Orange 37043 Clay 36073 Orleans 37045 Cleveland 36075 Oswego 37047 Columbus 36077 Otsego 37049 Craven 36079 Putnam 37051 Cumberland 36081 Queens 37053 Currituck 36083 Rensselaer 37055 Dare 36085 Richmond 37057 Davidson 36087 Rockland 37059 Davie 36089 St Lawrence 37061 Duplin 36091 Saratoga 37063 Durham 36093 Schenectady 37065 Edgecombe 36095 Schoharie 37067 Forsyth 36097 Schuyler 37069 Franklin 36099 Seneca 37071 Gaston 36101 Steuben 37073 Gates 36103 Suffolk 37075 Graham 36105 Sullivan 37077 Granville 36107 Tioga 37079 Greene 36109 Tompkins 37081 Guilford 36111 Ulster 37083 Halifax 36113 Warren 37085 Harnett 36115 Washington 37087 Haywood 36117 Wayne 37089 Henderson 36119 Westchester 37091 Hertford 36121 Wyoming 37093 Hoke 36123 Yates 37095 Hyde 37 North Carolina 37097 Iredell -------------------- 37099 Jackson

ICPSR 6850 Page 33

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

37101 Johnston 38 North Dakota 37103 Jones ------------------ 37105 Lee 38001 Adams 37107 Lenoir 38003 Barnes 37109 Lincoln 38005 Benson 37111 McDowell 38007 Billings 37113 Macon 38009 Bottineau 37115 Madison 38011 Bowman 37117 Martin 38013 Burke 37119 Mecklenburg 38015 Burleigh 37121 Mitchell 38017 Cass 37123 Montgomery 38019 Cavalier 37125 Moore 38021 Dickey 37127 Nash 38023 Divide 37129 New Hanover 38025 Dunn 37131 Northampton 38027 Eddy 37133 Onslow 38029 Emmons 37135 Orange 38031 Foster 37137 Pamlico 38033 Golden Valley 37139 Pasquotank 38035 Grand Forks 37141 Pender 38037 Grant 37143 Perquimans 38039 Griggs 37145 Person 38041 Hettinger 37147 Pitt 38043 Kidder 37149 Polk 38045 La Moure 37151 Randolph 38047 Logan 37153 Richmond 38049 McHenry 37155 Robeson 38051 McIntosh 37157 Rockingham 38053 McKenzie 37159 Rowan 38055 McLean 37161 Rutherford 38057 Mercer 37163 Sampson 38059 Morton 37165 Scotland 38061 Mountrail 37167 Stanly 38063 Nelson 37169 Stokes 38065 Oliver 37171 Surry 38067 Pembina 37173 Swain 38069 Pierce 37175 Transylvania 38071 Ramsey 37177 Tyrrell 38073 Ransom 37179 Union 38075 Renville 37181 Vance 38077 Richland 37183 Wake 38079 Rolette 37185 Warren 38081 Sargent 37187 Washington 38083 Sheridan 37189 Watauga 38085 Sioux 37191 Wayne 38087 Slope 37193 Wilkes 38089 Stark 37195 Wilson 38091 Steele 37197 Yadkin 38093 Stutsman 37199 Yancey 38095 Towner

Page 34 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

38097 Traill 39087 Lawrence 38099 Walsh 39089 Licking 38101 Ward 39091 Logan 38103 Wells 39093 Lorain 38105 Williams 39095 Lucas 39 Ohio 39097 Madison ---------- 39099 Mahoning 39001 Adams 39101 Marion 39003 Allen 39103 Medina 39005 Ashland 39105 Meigs 39007 Ashtabula 39107 Mercer 39009 Athens 39109 Miami 39011 Auglaize 39111 Monroe 39013 Belmont 39113 Montgomery 39015 Brown 39115 Morgan 39017 Butler 39117 Morrow 39019 Carroll 39119 Muskingum 39021 Champaign 39121 Noble 39023 Clark 39123 Ottawa 39025 Clermont 39125 Paulding 39027 Clinton 39127 Perry 39029 Columbiana 39129 Pickaway 39031 Coshocton 39131 Pike 39033 Crawford 39133 Portage 39035 Cuyahoga 39135 Preble 39037 Darke 39137 Putnam 39039 Defiance 39139 Richland 39041 Delaware 39141 Ross 39043 Erie 39143 Sandusky 39045 Fairfield 39145 Scioto 39047 Fayette 39147 Seneca 39049 Franklin 39149 Shelby 39051 Fulton 39151 Stark 39053 Gallia 39153 Summit 39055 Geauga 39155 Trumbull 39057 Greene 39157 Tuscarawas 39059 Guernsey 39159 Union 39061 Hamilton 39161 Van Wert 39063 Hancock 39163 Vinton 39065 Hardin 39165 Warren 39067 Harrison 39167 Washington 39069 Henry 39169 Wayne 39071 Highland 39171 Williams 39073 Hocking 39173 Wood 39075 Holmes 39175 Wyandot 39077 Huron 40 Oklahoma 39079 Jackson -------------- 39081 Jefferson 40001 Adair 39083 Knox 40003 Alfalfa 39085 Lake 40005 Atoka

ICPSR 6850 Page 35

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

40007 Beaver 40107 Okfuskee 40009 Beckham 40109 Oklahoma 40011 Blaine 40111 Okmulgee 40013 Bryan 40113 Osage 40015 Caddo 40115 Ottawa 40017 Canadian 40117 Pawnee 40019 Carter 40119 Payne 40021 Cherokee 40121 Pittsburg 40023 Choctaw 40123 Pontotoc 40025 Cimarron 40125 Pottawatomie 40027 Cleveland 40127 Pushmataha 40029 Coal 40129 Roger Mills 40031 Comanche 40131 Rogers 40033 Cotton 40133 Seminole 40035 Craig 40135 Sequoyah 40037 Creek 40137 Stephens 40039 Custer 40139 Texas 40041 Delaware 40141 Tillman 40043 Dewey 40143 Tulsa 40045 Ellis 40145 Wagoner 40047 Garfield 40147 Washington 40049 Garvin 40149 Washita 40051 Grady 40151 Woods 40053 Grant 40153 Woodward 40055 Greer 41 Oregon 40057 Harmon ------------ 40059 Harper 41001 Baker 40061 Haskell 41003 Benton 40063 Hughes 41005 Clackamas 40065 Jackson 41007 Clatsop 40067 Jefferson 41009 Columbia 40069 Johnston 41011 Coos 40071 Kay 41013 Crook 40073 Kingfisher 41015 Curry 40075 Kiowa 41017 Deschutes 40077 Latimer 41019 Douglas 40079 Le Flore 41021 Gilliam 40081 Lincoln 41023 Grant 40083 Logan 41025 Harney 40085 Love 41027 Hood River 40087 McClain 41029 Jackson 40089 McCurtain 41031 Jefferson 40091 McIntosh 41033 Josephine 40093 Major 41035 Klamath 40095 Marshall 41037 Lake 40097 Mayes 41039 Lane 40099 Murray 41041 Lincoln 40101 Muskogee 41043 Linn 40103 Noble 41045 Malheur 40105 Nowata 41047 Marion

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APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

41049 Morrow 42073 Lawrence 41051 Multnomah 42075 Lebanon 41053 Polk 42077 Lehigh 41055 Sherman 42079 Luzerne 41057 Tillamook 42081 Lycoming 41059 Umatilla 42083 McKean 41061 Union 42085 Mercer 41063 Wallowa 42087 Mifflin 41065 Wasco 42089 Monroe 41067 Washington 42091 Montgomery 41069 Wheeler 42093 Montour 41071 Yamhill 42095 Northampton 42 Pennsylvania 42097 Northumberland ------------------ 42099 Perry 42001 Adams 42101 Philadelphia 42003 Allegheny 42103 Pike 42005 Armstrong 42105 Potter 42007 Beaver 42107 Schuylkill 42009 Bedford 42109 Snyder 42011 Berks 42111 Somerset 42013 Blair 42113 Sullivan 42015 Bradford 42115 Susquehanna 42017 Bucks 42117 Tioga 42019 Butler 42119 Union 42021 Cambria 42121 Venango 42023 Cameron 42123 Warren 42025 Carbon 42125 Washington 42027 Centre 42127 Wayne 42029 Chester 42129 Westmoreland 42031 Clarion 42131 Wyoming 42033 Clearfield 42133 York 42035 Clinton 44 Rhode Island 42037 Columbia ------------------ 42039 Crawford 44001 Bristol 42041 Cumberland 44003 Kent 42043 Dauphin 44005 Newport 42045 Delaware 44007 Providence 42047 Elk 44009 Washington 42049 Erie 45 South Carolina 42051 Fayette -------------------- 42053 Forest 45001 Abbeville 42055 Franklin 45003 Aiken 42057 Fulton 45005 Allendale 42059 Greene 45007 Anderson 42061 Huntingdon 45009 Bamberg 42063 Indiana 45011 Barnwell 42065 Jefferson 45013 Beaufort 42067 Juniata 45015 Berkeley 42069 Lackawanna 45017 Calhoun 42071 Lancaster 45019 Charleston

ICPSR 6850 Page 37

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

45021 Cherokee 46027 Clay 45023 Chester 46029 Codington 45025 Chesterfield 46031 Corson 45027 Clarendon 46033 Custer 45029 Colleton 46035 Davison 45031 Darlington 46037 Day 45033 Dillon 46039 Deuel 45035 Dorchester 46041 Dewey 45037 Edgefield 46043 Douglas 45039 Fairfield 46045 Edmunds 45041 Florence 46047 Fall River 45043 Georgetown 46049 Faulk 45045 Greenville 46051 Grant 45047 Greenwood 46053 Gregory 45049 Hampton 46055 Haakon 45051 Horry 46057 Hamlin 45053 Jasper 46059 Hand 45055 Kershaw 46061 Hanson 45057 Lancaster 46063 Harding 45059 Laurens 46065 Hughes 45061 Lee 46067 Hutchinson 45063 Lexington 46069 Hyde 45065 McCormick 46071 Jackson 45067 Marion 46073 Jerauld 45069 Marlboro 46075 Jones 45071 Newberry 46077 Kingsbury 45073 Oconee 46079 Lake 45075 Orangeburg 46081 Lawrence 45077 Pickens 46083 Lincoln 45079 Richland 46085 Lyman 45081 Saluda 46087 McCook 45083 Spartanburg 46089 McPherson 45085 Sumter 46091 Marshall 45087 Union 46093 Meade 45089 Williamsburg 46095 Mellette 45091 York 46097 Miner 46 South Dakota 46099 Minnehaha ------------------ 46101 Moody 46003 Aurora 46103 Pennington 46005 Beadle 46105 Perkins 46007 Bennett 46107 Potter 46009 Bon Homme 46109 Roberts 46011 Brookings 46111 Sanborn 46013 Brown 46113 Shannon 46015 Brule 46115 Spink 46017 Buffalo 46117 Stanley 46019 Butte 46119 Sully 46021 Campbell 46121 Todd 46023 Charles Mix 46123 Tripp 46025 Clark 46125 Turner

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APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

46127 Union 47089 Jefferson 46129 Walworth 47091 Johnson 46135 Yankton 47093 Knox 46137 Ziebach 47095 Lake 47 Tennessee 47097 Lauderdale --------------- 47099 Lawrence 47001 Anderson 47101 Lewis 47003 Bedford 47103 Lincoln 47005 Benton 47105 Loudon 47007 Bledsoe 47107 McMinn 47009 Blount 47109 McNairy 47011 Bradley 47111 Macon 47013 Campbell 47113 Madison 47015 Cannon 47115 Marion 47017 Carroll 47117 Marshall 47019 Carter 47119 Maury 47021 Cheatham 47121 Meigs 47023 Chester 47123 Monroe 47025 Claiborne 47125 Montgomery 47027 Clay 47127 Moore 47029 Cocke 47129 Morgan 47031 Coffee 47131 Obion 47033 Crockett 47133 Overton 47035 Cumberland 47135 Perry 47037 Davidson 47137 Pickett 47039 Decatur 47139 Polk 47041 De Kalb 47141 Putnam 47043 Dickson 47143 Rhea 47045 Dyer 47145 Roane 47047 Fayette 47147 Robertson 47049 Fentress 47149 Rutherford 47051 Franklin 47151 Scott 47053 Gibson 47153 Sequatchie 47055 Giles 47155 Sevier 47057 Grainger 47157 Shelby 47059 Greene 47159 Smith 47061 Grundy 47161 Stewart 47063 Hamblen 47163 Sullivan 47065 Hamilton 47165 Sumner 47067 Hancock 47167 Tipton 47069 Hardeman 47169 Trousdale 47071 Hardin 47171 Unicoi 47073 Hawkins 47173 Union 47075 Haywood 47175 Van Buren 47077 Henderson 47177 Warren 47079 Henry 47179 Washington 47081 Hickman 47181 Wayne 47083 Houston 47183 Weakley 47085 Humphreys 47185 White 47087 Jackson 47187 Williamson

ICPSR 6850 Page 39

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

47189 Wilson 48095 Concho 48 Texas 48097 Cooke ----------- 48099 Coryell 48001 Anderson 48101 Cottle 48003 Andrews 48103 Crane 48005 Angelina 48105 Crockett 48007 Aransas 48107 Crosby 48009 Archer 48109 Culberson 48011 Armstrong 48111 Dallam 48013 Atascosa 48113 Dallas 48015 Austin 48115 Dawson 48017 Bailey 48117 Deaf Smith 48019 Bandera 48119 Delta 48021 Bastrop 48121 Denton 48023 Baylor 48123 De Witt 48025 Bee 48125 Dickens 48027 Bell 48127 Dimmit 48029 Bexar 48129 Donley 48031 Blanco 48131 Duval 48033 Borden 48133 Eastland 48035 Bosque 48135 Ector 48037 Bowie 48137 Edwards 48039 Brazoria 48139 Ellis 48041 Brazos 48141 El Paso 48043 Brewster 48143 Erath 48045 Briscoe 48145 Falls 48047 Brooks 48147 Fannin 48049 Brown 48149 Fayette 48051 Burleson 48151 Fisher 48053 Burnet 48153 Floyd 48055 Caldwell 48155 Foard 48057 Calhoun 48157 Fort Bend 48059 Callahan 48159 Franklin 48061 Cameron 48161 Freestone 48063 Camp 48163 Frio 48065 Carson 48165 Gaines 48067 Cass 48167 Galveston 48069 Castro 48169 Garza 48071 Chambers 48171 Gillespie 48073 Cherokee 48173 Glasscock 48075 Childress 48175 Goliad 48077 Clay 48177 Gonzales 48079 Cochran 48179 Gray 48081 Coke 48181 Grayson 48083 Coleman 48183 Gregg 48085 Collin 48185 Grimes 48087 Collingsworth 48187 Guadalupe 48089 Colorado 48189 Hale 48091 Comal 48191 Hall 48093 Comanche 48193 Hamilton

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APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

48195 Hansford 48295 Lipscomb 48197 Hardeman 48297 Live Oak 48199 Hardin 48299 Llano 48201 Harris 48301 Loving 48203 Harrison 48303 Lubbock 48205 Hartley 48305 Lynn 48207 Haskell 48307 McCulloch 48209 Hays 48309 McLennan 48211 Hemphill 48311 McMullen 48213 Henderson 48313 Madison 48215 Hidalgo 48315 Marion 48217 Hill 48317 Martin 48219 Hockley 48319 Mason 48221 Hood 48321 Matagorda 48223 Hopkins 48323 Maverick 48225 Houston 48325 Medina 48227 Howard 48327 Menard 48229 Hudspeth 48329 Midland 48231 Hunt 48331 Milam 48233 Hutchinson 48333 Mills 48235 Irion 48335 Mitchell 48237 Jack 48337 Montague 48239 Jackson 48339 Montgomery 48241 Jasper 48341 Moore 48243 Jeff Davis 48343 Morris 48245 Jefferson 48345 Motley 48247 Jim Hogg 48347 Nacogdoches 48249 Jim Wells 48349 Navarro 48251 Johnson 48351 Newton 48253 Jones 48353 Nolan 48255 Karnes 48355 Nueces 48257 Kaufman 48357 Ochiltree 48259 Kendall 48359 Oldham 48261 Kenedy 48361 Orange 48263 Kent 48363 Palo Pinto 48265 Kerr 48365 Panola 48267 Kimble 48367 Parker 48269 King 48369 Parmer 48271 Kinney 48371 Pecos 48273 Kleberg 48373 Polk 48275 Knox 48375 Potter 48277 Lamar 48377 Presidio 48279 Lamb 48379 Rains 48281 Lampasas 48381 Randall 48283 La Salle 48383 Reagan 48285 Lavaca 48385 Real 48287 Lee 48387 Red River 48289 Leon 48389 Reeves 48291 Liberty 48391 Refugio 48293 Limestone 48393 Roberts

ICPSR 6850 Page 41

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

48395 Robertson 48495 Winkler 48397 Rockwall 48497 Wise 48399 Runnels 48499 Wood 48401 Rusk 48501 Yoakum 48403 Sabine 48503 Young 48405 San Augustine 48505 Zapata 48407 San Jacinto 48507 Zavala 48409 San Patricio 49 Utah 48411 San Saba ---------- 48413 Schleicher 49001 Beaver 48415 Scurry 49003 Box Elder 48417 Shackelford 49005 Cache 48419 Shelby 49007 Carbon 48421 Sherman 49009 Daggett 48423 Smith 49011 Davis 48425 Somervell 49013 Duchesne 48427 Starr 49015 Emery 48429 Stephens 49017 Garfield 48431 Sterling 49019 Grand 48433 Stonewall 49021 Iron 48435 Sutton 49023 Juab 48437 Swisher 49025 Kane 48439 Tarrant 49027 Millard 48441 Taylor 49029 Morgan 48443 Terrell 49031 Piute 48445 Terry 49033 Rich 48447 Throckmorton 49035 Salt Lake 48449 Titus 49037 San Juan 48451 Tom Green 49039 Sanpete 48453 Travis 49041 Sevier 48455 Trinity 49043 Summit 48457 Tyler 49045 Tooele 48459 Upshur 49047 Uintah 48461 Upton 49049 Utah 48463 Uvalde 49051 Wasatch 48465 Val Verde 49053 Washington 48467 Van Zandt 49055 Wayne 48469 Victoria 49057 Weber 48471 Walker 50 Vermont 48473 Waller ------------- 48475 Ward 50001 Addison 48477 Washington 50003 Bennington 48479 Webb 50005 Caledonia 48481 Wharton 50007 Chittenden 48483 Wheeler 50009 Essex 48485 Wichita 50011 Franklin 48487 Wilbarger 50013 Grand Isle 48489 Willacy 50015 Lamoille 48491 Williamson 50017 Orange 48493 Wilson 50019 Orleans

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APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

50021 Rutland 51091 Highland 50023 Washington 51093 Isle Of Wight 50025 Windham 51095 James City 50027 Windsor 51097 King and Queen 51 Virginia 51099 King George -------------- 51101 King William 51001 Accomack 51103 Lancaster 51003 Albemarle 51105 Lee 51005 Alleghany 51107 Loudoun 51007 Amelia 51109 Louisa 51009 Amherst 51111 Lunenburg 51011 Appomattox 51113 Madison 51013 Arlington 51115 Mathews 51015 Augusta 51117 Mecklenburg 51017 Bath 51119 Middlesex 51019 Bedford 51121 Montgomery 51021 Bland 51125 Nelson 51023 Botetourt 51127 New Kent 51025 Brunswick 51131 Northampton 51027 Buchanan 51133 Northumberland 51029 Buckingham 51135 Nottoway 51031 Campbell 51137 Orange 51033 Caroline 51139 Page 51035 Carroll 51141 Patrick 51036 Charles City 51143 Pittsylvania 51037 Charlotte 51145 Powhatan 51041 Chesterfield 51147 Prince Edward 51043 Clarke 51149 Prince George 51045 Craig 51153 Prince William 51047 Culpeper 51155 Pulaski 51049 Cumberland 51157 Rappahannock 51051 Dickenson 51159 Richmond 51053 Dinwiddie 51161 Roanoke 51057 Essex 51163 Rockbridge 51059 Fairfax 51165 Rockingham 51061 Fauquier 51167 Russell 51063 Floyd 51169 Scott 51065 Fluvanna 51171 Shenandoah 51067 Franklin 51173 Smyth 51069 Frederick 51175 Southampton 51071 Giles 51177 Spotsylvania 51073 Gloucester 51179 Stafford 51075 Goochland 51181 Surry 51077 Grayson 51183 Sussex 51079 Greene 51185 Tazewell 51081 Greensville 51187 Warren 51083 Halifax 51191 Washington 51085 Hanover 51193 Westmoreland 51087 Henrico 51195 Wise 51089 Henry 51197 Wythe

ICPSR 6850 Page 43

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

51199 York 53013 Columbia 51510 Alexandria city 53015 Cowlitz 51515 Bedford city 53017 Douglas 51520 Bristol city 53019 Ferry 51530 Buena Vista city 53021 Franklin 51540 Charlottesville city 53023 Garfield 51550 Chesapeake city 53025 Grant 51560 Clifton Forge city 53027 Grays Harbor 51570 Colonial Heights city 53029 Island 51580 Covington city 53031 Jefferson 51590 Danville city 53033 King 51595 Emporia city 53035 Kitsap 51600 Fairfax city 53037 Kittitas 51610 Falls Church city 53039 Klickitat 51620 Franklin city 53041 Lewis 51630 Fredericksburg city 53043 Lincoln 51640 Galax city 53045 Mason 51650 Hampton city 53047 Okanogan 51660 Harrisonburg city 53049 Pacific 51670 Hopewell city 53051 Pend Oreille 51678 Lexington city 53053 Pierce 51680 Lynchburg city 53055 San Juan 51683 Manassas city 53057 Skagit 51685 Manassas Park city 53059 Skamania 51690 Martinsville city 53061 Snohomish 51700 Newport News city 53063 Spokane 51710 Norfolk city 53065 Stevens 51720 Norton city 53067 Thurston 51730 Petersburg city 53069 Wahkiakum 51735 Poquoson city 53071 Walla Walla 51740 Portsmouth city 53073 Whatcom 51750 Radford city 53075 Whitman 51760 Richmond city 53077 Yakima 51770 Roanoke city 54 West Virginia 51775 Salem city ------------------- 51780 South Boston city 54001 Barbour 51790 Staunton city 54003 Berkeley 51800 Suffolk city 54005 Boone 51810 Virginia Beach city 54007 Braxton 51820 Waynesboro city 54009 Brooke 51830 Williamsburg city 54011 Cabell 51840 Winchester city 54013 Calhoun 53 Washington 54015 Clay ---------------- 54017 Doddridge 53001 Adams 54019 Fayette 53003 Asotin 54021 Gilmer 53005 Benton 54023 Grant 53007 Chelan 54025 Greenbrier 53009 Clallam 54027 Hampshire 53011 Clark 54029 Hancock

Page 44 ICPSR 6850

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

54031 Hardy 55017 Chippewa 54033 Harrison 55019 Clark 54035 Jackson 55021 Columbia 54037 Jefferson 55023 Crawford 54039 Kanawha 55025 Dane 54041 Lewis 55027 Dodge 54043 Lincoln 55029 Door 54045 Logan 55031 Douglas 54047 McDowell 55033 Dunn 54049 Marion 55035 Eau Claire 54051 Marshall 55037 Florence 54053 Mason 55039 Fond du Lac 54055 Mercer 55041 Forest 54057 Mineral 55043 Grant 54059 Mingo 55045 Green 54061 Monongalia 55047 Green Lake 54063 Monroe 55049 Iowa 54065 Morgan 55051 Iron 54067 Nicholas 55053 Jackson 54069 Ohio 55055 Jefferson 54071 Pendleton 55057 Juneau 54073 Pleasants 55059 Kenosha 54075 Pocahontas 55061 Kewaunee 54077 Preston 55063 La Crosse 54079 Putnam 55065 Lafayette 54081 Raleigh 55067 Langlade 54083 Randolph 55069 Lincoln 54085 Ritchie 55071 Manitowoc 54087 Roane 55073 Marathon 54089 Summers 55075 Marinette 54091 Taylor 55077 Marquette 54093 Tucker 55078 Menominee 54095 Tyler 55079 Milwaukee 54097 Upshur 55081 Monroe 54099 Wayne 55083 Oconto 54101 Webster 55085 Oneida 54103 Wetzel 55087 Outagamie 54105 Wirt 55089 Ozaukee 54107 Wood 55091 Pepin 54109 Wyoming 55093 Pierce 55 Wisconsin 55095 Polk --------------- 55097 Portage 55001 Adams 55099 Price 55003 Ashland 55101 Racine 55005 Barron 55103 Richland 55007 Bayfield 55105 Rock 55009 Brown 55107 Rusk 55011 Buffalo 55109 St Croix 55013 Burnett 55111 Sauk 55015 Calumet 55113 Sawyer

ICPSR 6850 Page 45

APPENDIX--FIPS CODES FOR UCR COUNTY-LEVEL DATA

55115 Shawano 55117 Sheboygan 55119 Taylor 55121 Trempealeau 55123 Vernon 55125 Vilas 55127 Walworth 55129 Washburn 55131 Washington 55133 Waukesha 55135 Waupaca 55137 Waushara 55139 Winnebago 55141 Wood 56 Wyoming ------------- 56001 Albany 56003 Big Horn 56005 Campbell 56007 Carbon 56009 Converse 56011 Crook 56013 Fremont 56015 Goshen 56017 Hot Springs 56019 Johnson 56021 Laramie 56023 Lincoln 56025 Natrona 56027 Niobrara 56029 Park 56031 Platte 56033 Sheridan 56035 Sublette 56037 Sweetwater 56039 Teton 56041 Uinta 56043 Washakie 56045 Weston

Page 46 ICPSR 6850

  • ICPSR 6850
  • BIBLIOGRAPHIC CITATION
  • DATA COLLECTION DESCRIPTION
  • TABLE OF CONTENTS
    • ICPSR Data Collection Description
    • County-Level Arrests Data
    • Allocated Statewide Data for Arrests
    • County-Level Crimes Reported Data
    • Allocated Statewide Data for Crimes Reported
  • APPENDIX
    • FIPS Codes for UCR County-Level Data