Data Dictionary: Crime Data 2010
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Survey: Crime Data 2010
Data Source: Interuniversity Consortium for Political and Social Research (ICPSR) and Social Explorer
Table: T2. Violent and Property Crimes, All Ages [3]
Universe: Total Violent and Property Crimes
Table Details
T2. Violent and Property Crimes, All Ages
Universe: Total Violent and Property Crimes
Variable Label
T002_001
T002_002
T002_003
Relevant Documentation:
Excerpt from: Social Explorer, United States Department of Justice. Office of Justice Programs. Federal Bureau of Investigation. Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010. ICPSR33523-v1.
 
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
United States Department of Justice.
Office of Justice Programs.
Federal Bureau of Investigation

Codebook

Inter-university Consortium for Political and Social Research
P.O. Box 1248
Ann Arbor, Michigan 48106
www.icpsr.umich.edu
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Information about Copyrighted Content
Some instruments administered as part of this study may contain in whole or substantially in part contents from copyrighted instruments. Reproductions of the instruments are provided as documentation for the analysis of the data associated with this collection. Restrictions on "fair use" apply to all copyrighted content. More information about the reproduction of copyrighted works by educators and librarians is available from the United States Copyright Office.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Copyright Restrictions
The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted material. Under certain conditions specified in the law, libraries and archives are authorized to furnish a photocopy or other reproduction. One of these specified conditions is that the photocopy or reproduction is not to be "used for any purpose other than private study, scholarship, or research." If a user makes a request for, or later uses, a photocopy or reproduction for purposes in excess of "fair use," that user may be liable for copyright infringement.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
ICPSR Data Collection Description
The UNIFORM CRIME REPORTING PROGRAM DATA: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 2010 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 only. Users with questions regarding these UCR county-level data files can contact the National Archive of Criminal Justice Data at the ICPSR.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Break in Series
Two major changes to the UCR county-level files were implemented with the 1994 data and are continued through the 2010 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 FBI, the Bureau of Justice Statistics, and the Inter-university Consortium for Political and Social Research. These changes 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.

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 that reported 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 in the arrest files or 1 to 2 months in the crimes reported files, 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 ORI's 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 2,500 - 9,999
7) Cities under 2,500
8) Non-MSA counties and non-MSA State Police
9) MSA counties and MSA State Police


There is an important distinction in estimation procedures for the arrest versus the crimes reported files. For the arrest files (Parts 1-3 and 5-7), data were estimated for agencies reporting 0-2 months based on the procedures mentioned above. However, due to the structure of the original data received from the FBI, ICPSR was only able to estimate data for agencies reporting 1-2 months in the crimes reported files (Parts 4 and 8). No estimations are provided for agencies reporting 0 months. To assist users, the county population figures and number of agencies reporting for both the arrest and crimes reported data files were added to the crimes reported files.


These variables provide users with information that can be used to determine the proportion of the population or agencies not included in the crime reported files due to the absence of records for agencies reporting 0 months. Users should keep in mind these differences when doing their analyses.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
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 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 reported for a given year. The indicator ranges from 0 to 100. A value of 0 indicates that no data for the county were reported and all data have been imputed. A value of 100 indicates that all ORIs in the county reported for all 12 months in the year. Coverage Indicator is calculated as follows:

CI_x = 100 * ( 1 - SUM_i { [ORIPOP_i/COUNTYPOP] * [ (12 - MONTHSREPORTED_i)/12 ] } )

where CI = Coverage Indicator
x = county
i = ORI within county

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 arrest data and 1 to 2 months of crimes reported 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 arrest and 1 to 2 months of crime are set to zero, users should be aware that no estimation of data was possible for ORIs in these categories without a population. In the crimes reported files, no estimation was possible for agencies reporting 0 months because population figures for these agencies were not provided in the original files from the FBI.


Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Comparing "Crime in the United States 2010" To ICPSR 33523
"Crime in the United States 2010" 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 2010" 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 2010" 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 33523 may contain additions or corrections to the data submitted to the FBI after their publication deadline for producing "Crime in the United States 2010."

(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. Limited or no crime or arrest data were available for some states in 2010. For some tables in "Crime in the United States 2010" (for example, Section II, Table 2: Total Crime Counts in the United States, and Section IV, Table 29: Estimated Arrests), the FBI provided estimated crime counts and arrest totals for some of these states (see Appendix I -- Methodology for the FBI's estimation methods). 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 could not be produced by ICPSR.

(3) Some tables in "Crime in the United States 2010" were prepared using data only from agencies submitting complete reports for the 12 months for 2010 prior to the publication deadline (for example, Section IV, Table 69: Arrests by State). 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.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Identifying Missing Data
In this data collection, zeroes may represent both true zeroes or missing data, and it is possible to distinguish between the two. In the arrest files (Parts 1-3 and 5-7), the coverage indictor alone does not indicate whether or not zeroes are true or missing values. A county can have a coverage indicator of zero, but still contain arrest data. ICPSR can estimate arrest data for a county that did not report any arrests based on data for other counties of comparable population size in the same state that did report 12 months of data. In order to distinguish true zeroes from missing values, the user has to look at the coverage indicator for a county in conjunction with the arrest variables. If an arrest variable for a particular county has a value of zero and the coverage indicator is greater than zero, then the arrest variable contains a true zero. This true zero is not necessarily a reported zero as it may have been estimated. If an arrest variable for a particular county has a value of zero and the coverage indicator for that county is zero, then the user must check the values of ALL of the arrest variables. If some arrest variables contain zeroes and some contain other values, then the zeroes for this county are true. If ALL arrest variables and the coverage indicator for the county in question contain zeroes, then these indicate missing data.

In the crimes reported file (Part 4), data can not be estimated for non-reporting agencies. Therefore, counties with no population for reporting agencies will also have a coverage indicator of zero and all crime variables will have a value of zero. These zeroes indicate missing data. If a county has one or more offense variables with a value of zero, but has a value of greater than zero for the population and coverage indicator variables, then the zeroes for these particular offense variables should be considered true zeroes for the purposes of analysis.


Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Summary of How To Identify Missing Data
ARREST FILES CRIMES REPORTED
TRUE ZERO "Coverage indicator > 0 or Coverage indicator = 0 AND at least one arrest count variable > 0" Coverage indicator > 0
MISSING DATA Coverage indicator = 0 AND all arrest count variables = 0 Coverage indicator = 0 AND all other crime count variables will necessarily = 0


Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Notes on FIPS Codes
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 to 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 were not reported within a county and the State Police data for Alaska and Connecticut are not allocated to the counties. These three State Police records are identified by the county code 999. In the 1997 data and onward another 999 county code was added to these data files. The New York/New Jersey Port Authority reported data in 1997 through two agencies, one in New York and one in New Jersey. The FBI included the New York Port Authority agency as part of New York county. However, the FBI did not assign a UCR county code for the New Jersey Port Authority and did not provide a population figure for the area covered by this jurisdiction. Therefore, the New Jersey/New York Port Authority (NJNYPOA) is a separate record in the data files from 1997 onward with a county code of 999. New York City Metro Transportation Authority (NY03083) is a separate record from 2007 onward with a county code of 999. From 2008, tribal agencies began to report offense data. Data for those agencies in each state will be in one record identified by the county code of 777.

ICPSR uses FIPS Publication 6-4 "Counties and Equivalent Entities of the United States, Its Possessions, and Associated Areas" from the National Institute of Standards and Technology (NIST), U.S. Department of Commerce, as a reference for assigning FIPS codes for the counties in this data collection. ICPSR consults this publication annually to note changes in FIPS codes that may affect this collection. The borough of Denali, Alaska (FIPS code 02068) was created from part of the Yukon-Koyukuk Census Area (FIPS code 02290) and unpopulated part of the Southeast Fairbanks Census Area (FIPS code 02240) effective December 7, 1990. The Denali Borough is NOT a record in the data. However, since no agency record from Denali was present in the original FBI data for either the arrest or crimes reported files, no data are missing from the ICPSR data. In May 1995, NIST announced that the independent city of South Boston, Virginia reverted to town status and became part of Halifax County as of June 30, 1995. The Virginia FIPS county code of 780 no longer exists and South Boston is included in FIPS county code 083. ICPSR did not adjust this data collection to reflect this change so that the data files would remain consistent with earlier years. Users who wish to use the current FIPS codes can combine the data from South Boston with Halifax County.

In July 1999, NIST announced that Yellowstone National Park, which had been treated as a county equivalent, is legally part of Gallatin County and Park County, Montana. Yellowstone National Park was left as earlier years. In July 1999, NIST announced that as of November 13, 1993 Dade County, Florida officially changed its name to Miami-Dade County.

The county was assigned a new FIPS code (086) to maintain the alphanumeric sequence of counties. In the 1997 data collection and onward, ICPSR also changed the Miami-Dade county code from 025 to 086 to match the change in the FIPS publication. However, the 1993-1996 UCR county-level data collections still used the old name and FIPS county code.

In July 2001, NIST announced that the independent city (county-equivalent) of Clifton Forge, Virginia, had reverted to town status, effective midnight, July 1, 2001. Clifton Forge is now an incorporated place within Alleghany County, rather than a separate county-equivalent surrounded by Alleghany County. This action will reduce the number of Virginia independent cities to 39 and the number of United States counties and equivalent areas to 3,141. The action reduces the total number of independent cities in the United States to 42. The FIPS county code of 560 for Clifton Forge, Virginia, is deleted. The FIPS-55 class code will change from C7 to C1. The census place code of 0285 and FIPS-55 code of 17440 are unaffected. The FIPS county code of 005 for Alleghany County remains unchanged. ICPSR did not adjust this data collection to reflect this change so that the data files would remain consistent with earlier years. Users who wish to use the current FIPS codes can combine the data from Clifton Forge with Alleghany County.

In January 2002, NIST announced that Broomfield County, Colorado, had been created from parts of Adams (001), Boulder (013), Jefferson (059), and Weld (123) counties effective November 15, 2001. The boundaries of Broomfield County reflect the boundaries of Broomfield city legally in effect on November 15, 2001. To maintain the alphanumeric sequence of counties, Broomfield County will have a code of 014 for FIPS 6-4, Counties and Equivalent Entities of the United States, Its Possessions and Associated Areas. ICPSR created county code 014 for Broomfield County to match the change in the FIPS publication.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
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 proportioned to each county (maximum of three) in which the jurisdiction is located.



Drunkenness (FBI offense code 23) is not considered a crime in some states. States that do not consider drunkenness a crime, but which report data through the NIBRS system, such as North Dakota, may show arrest data for the offense in this data collection. This is because drunkenness may be listed as an incident in the NIBRS reporting system, even though there was technically no arrest in these states. Agencies in states where drunkenness is not a crime may use their own discretion in reporting drunkenness as an incident. Users should exercise caution when analyzing this variable because of these differences in reporting.



The original data from the FBI contain 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. The total population for New York City and the population for each of the five counties from the 2010 U.S. Census were used to calculate these proportions. The population of Goodlettsville City, Tennessee is proportioned to both Davidson County and Sumner County. Population from the 2010 U.S. Census was used to calculate the population breakdown of Goodlettsville, Tennessee.



Seven dummy records were created for the arrest data files and 65 dummy records were created for the crimes reported 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 Florida. Limited arrest data were available for Illinois. Limited crimes reported data were available for Alaska, Kentucky, Mississippi, Montana, and South Dakota.



One SPSS data definition statement file and one SAS data definition statement file are provided for the one arrest data file (all ages) and one SPSS data definition statement file and one SAS data definition statement file are provided for the crimes reported data file (crimes reported). One SPSS data definition statement file and one SAS data definition statement file are provided for the one 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 file has 56 variables, the crimes reported data file has 21 variables, the allocated statewide data for arrests file has 57 variables and the allocated statewide data for crimes reported file has 22 variables. All data files contain 3,177 cases.





CODEBOOK FOR UCR COUNTY-LEVEL ARRESTS DATA 2010

Var # Variable FBI Offense Code Columns Width
STUDYNO ICPSR STUDY NUMBER (This variable is no longer in use)   40912 4
EDITION ICPSR EDITION NUMBER   5 1
PART ICPSR PART NUMBER Part 1: Arrest Data, All Ages Part 2: Arrest Data, Adults Part 3: Arrest Data, Juveniles   6 1
IDNO ICPSR SEQUENTIAL CASE ID NUMBER   41100 4
FIPS_ST FIPS STATE CODE   41225 2
FIPS_CTY FIPS COUNTY CODE   13-15 3
CPOPARST

TOTAL COUNTY POPULATION OF AGENCIES REPORTING ARRESTS See Additional Notes in Introduction.

  16-23 8
AG_ARRST NUMBER OF AGENCIES IN COUNTY REPORTING ARRESTS See Additional Notes in Introduction.   24-26 3
JURFLAG MULTI-COUNTY JURISDICTION FLAG 0 = Data not affected by multi-county jurisdiction 1=Data affected by multi-county jurisdiction   27 1
COVIND COVERAGE INDICATOR   28-35 8.4
GRNDTOT GRAND TOTAL Total number of arrests. Includesnon-index crimes such as fraud,gambling, forgery, prostitution.   36-41 6
P1TOT PART 1-TOTAL Total number of Part I (index)crimes. This is the sum ofvariables MURDER through ARSON.   42-47 6
P1VLNT PART 1-VIOLENT CRIMES Sum of variables MURDER through AGASSLT.   48-52 5
P1PRPTY PART 1 - PROPERTY CRIMES Sum of variables BURGLRY through ARSON.   53-57 5
MURDER MURDERS 11 58-61 4
RAPE RAPES Includes: Forcible Rape of a female by a male, and attempts to commit Forcible Rape of a female by a male. Excludes: Other Sex Offenses such as Sodomy, Statutory Rape (no force), Incest, and attempts to commit any of the above. (See SEXOFF),Prostitution and Commercialized Vice (See COMVICE). 2 62-65 4
ROBBERY ROBBERIES 3 66-70 5
AGASSLT AGGRAVATED ASSAULTS 4 71-75 5
BURGLRY BURGLARIES 5 76-80 5
LARCENY LARCENIES 6 81-85 5
MVTHEFT MOTOR VEHICLE THEFTS 7 86-90 5
ARSON ARSONS 9 91-93 3
OTHASLT OTHER ASSAULTS 8 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 Buying, receiving, possessing 13 111-114 4
VANDLSM VANDALISM 14 115-119 5
WEAPONS WEAPONS VIOLATIONS Carrying, possessing, etc. 15 120-124 5
COMVICE PROSTITUTION/COMM VICE Prostitution and commercialized vice. 16 125-128 4
SEXOFF SEX OFFENSES Includes: Forcible Sodomy, Forcible Sex with an Object, Forcible Fondling, Statutory Rape (no force), Incest, and attempts to commit any of the above. Victims can be male or female. See the UCR Handbook(www.fbi.gov/about-us/cjis/ucr/additional-ucr-publications/ucr_handbook.pdf) for more details. Excludes: Forcible Rape (See RAPE), Prostitution and Commercialized Vice (See COMVICE). 17 129-132 4
DRUGTOT DRUG ABUSE VIOLATIONS - TOTAL Violations of narcotic drug laws.The sum of variables DRGSALE and DRGPOSS. 18 133-137 5
DRGSALE DRUG ABUSE SALE/MANUFACTURE The sale and/or manufacture of narcotics. The sum of variables COCSALE through OTHSALE. 180 138-142 5
COCSALE OPIUM/COCAINE - SALE/MANUFACTURE Sale and/or manufacture of opium or cocaine and their derivatives (morphine, heroin,codeine) 18A 143-147 5
MJSALE MARIJUANA-SALE/MANUFACTURE Sale and/or manufacture of marijuana 18B 148-151 4
SYNSALE SYNTHETIC-DRUG SALE/MANUFACTURE Synthetic narcotics: manufactured narcotics which can cause true drug addiction (Demerol,methadones) 18C 152-155 4
OTHSALE OTHER:DANG NON-NARCOTICS Dangerous non-narcotic drugs (barbiturates, benzedrine) 18D 156-160 4
DRGPOSS DRUG POSSESSION-SUBTOTAL The sum of variables COCPOSS through OTHPOSS. 185 161-165 5
COCPOSS OPIUM/COCAINE-POSSESSION Possession of opium or cocaineand their derivatives (morphine,heroin, codeine) 18E 166-170 5
MJPOSS MARIJUANA-POSSESSION 18F 171-175 5
SYNPOSS SYNTHETIC NARCOTICS-POSSESSION Synthetic narcotics possession/manufactured narcotics which can cause true drug addiction(demerol, methadones) 18G 176-179 4
OTHPOSS OTHER DRUG-POSSESSION Other dangerous non-narcotic drugs (barbiturates, benzedrine) 18H 180-184 5
GAMBLE GAMBLING-TOTAL Gambling offenses, Sum of variables BOOKMKG through OTGAMBL. 19 185-188 4
BOOKMKG BOOKMAKING (HORSE-SPORT) 19A 189-191 3
NUMBERS NUMBERS & LOTTERY 19B 192-194 3
OTGAMBL GAMBLING-ALL OTHER 19C 195-198 4
OFAGFAM OFFENSES AGAINST FAMILY & CHILD Offenses against the family and children. 20 199-202 4
DUI DRIVING UNDER INFLUENCE 21 203-207 5
LIQUOR LIQUOR LAW VIOLATIONS 22 208-212 5
DRUNK DRUNKENNESS 23 213-217 5
DISORDR DISORDERLY CONDUCT 24 218-222 5
VAGRANT VAGRANCY 25 223-226 4
ALLOTHR ALL OTHER OFF EXCEPT TRAFFIC 26 227-232 6
SUSPICN SUSPICION 27 233-236 4
CURFEW CURFEW, LOITERING LAWS Juveniles only. 28 237-241 5
RUNAWAY RUNAWAYS Juveniles only. 29 242-246 5


CODEBOOK FOR ALLOCATED STATEWIDE DATA FOR ARRESTS 2010

Var # Variable FBI Offense Code Columns Width
STUDYNO ICPSR STUDY NUMBER (This variable is no longer in use) &nbsp 40912 4
EDITION ICPSR EDITION NUMBER   5 1
PART ICPSR PART NUMBER Part 5: Statewide Arrest Data, All Ages Part 6: Statewide Arrest Data, Adults Part 7: Statewide Arrest Data, Juveniles   6 1
IDNO ICPSR SEQUENTIAL CASE ID NUMBER &nbsp 41100 4
FIPS_ST FIPS STATE CODE &nbsp 41225 2
FIPS_CTY FIPS COUNTY CODE &nbsp 13-15 3
SPOPARST STATE POPULATION &nbsp 16-23 8
CPOPARST TOTAL COUNTY POPULATION OF AGENCIES REPORTING ARRESTS See Additional Notes in Introduction. &nbsp 24-31 8
AG_ARRST NUMBER OF AGENCIES IN COUNTYREPORTING ARRESTS See Additional Notes in Introduction. &nbsp 32-34 3
JURFLAG MULTI-COUNTY JURISDICTION FLAG 0 = Data not affected by multi-county jurisdiction 1 = Data affected by multi-county jurisdiction &nbsp 35 1
SCOVIND COVERAGE INDICATOR &nbsp 36-43 8.4
SGRNDTOT GRAND TOTAL Total number of arrests. Includesnon-index crimes such as fraud,gambling, forgery, prostitution. &nbsp 44-49 6
SP1TOT PART 1-TOTAL Total number of Part I (index )crimes. This is the sum of variables SMURDER through SARSON. &nbsp 50-55 6
SP1VLNT PART 1-VIOLENT CRIMES Sum of variables SMURDER through SAGASSLT. &nbsp 56-60 5
SP1PRPTY PART 1-PROPERTY CRIMES Sum of variables SBURGLRY through SARSON. &nbsp 61-65 5
SMURDER MURDERS 11 66-69 4
SRAPE RAPES Includes: Forcible Rape of afemale by a male, and attempts to commit Forcible Rape of a female by a male. Excludes: Other Sex Offenses such as Sodomy, Statutory Rape (no force), Incest, and attempts to commit any of the above. (See SSEXOFF),Prostitution and Commercialized Vice (See SCOMVICE). 2 70-73 4
SROBBERY ROBBERIES 3 74-78 5
SAGASSLT AGGRAVATED ASSAULTS 4 79-83 5
SBURGLRY BURGLARIES 5 84-88 5
SLARCENY LARCENIES 6 89-93 5
SMVTHEFT MOTOR VEHICLE THEFTS 7 94-98 5
SARSON ARSONS 9 99-101 3
SOTHASLT OTHER ASSAULTS 8 102-106 5
SFRGYCNT FORGERY/COUNTERFEITING 10 107-110 4
SFRAUD FRAUD 11 111-115 5
SEMBEZL EMBEZZLEMENT 12 116-118 3
SSTLNPRP HAVE STOLEN PROPERTY Buying, receiving, possessing 13 119-122 4
SVANDLSM VANDALISM 14 123-127 5
SWEAPONS WEAPONS VIOLATIONS Carrying, possessing, etc. 15 128-132 5
SCOMVICE PROSTITUTION/COMM VICE Prostitution and commercialized vice. 16 133-136 4
SSEXOFF SEX OFFENSES Includes: Forcible Sodomy, Forcible Sex with an Object, Forcible Fondling, Statutory Rape (no force), Incest, and attempts to commit any of the above. Victims can be male or female. See the UCR Handbook(www.fbi.gov/about-us/cjis/ucr/additional-ucr-publications/ucr_handbook.pdf) for more details. Excludes: Forcible Rape (See SRAPE), Prostitution and Commercialized Vice (See SCOMVICE). 17 137-140 4
SDRUGTOT DRUG ABUSE VIOLATIONS-TOTAL Violations of narcotic drug laws.The sum of variables SDRGSALE and SDRGPOSS. 18 141-145 5
SDRGSALE DRUG ABUSE SALE/MANUFACTURE The sale and/or manufacture of narcotics. The sum of variables SCOCSALE through OTHSALE. 180 146-150 5
SCOCSALE OPIUM/COCAINE-SALE/MANUFACTURE Sale and/or manufacture of opium or cocaine and their derivatives (morphine, heroin,codeine) 18A 151-155 5
SMJSALE MARIJUANA-SALE/MANUFACTURE Sale and/or manufacture of marijuana 18B 156-159 4
SSYNSALE SYNTHETIC-DRUG SALE/MANUFACTURE Synthetic narcotics: manufactured narcotics which can cause true drug addiction (Demerol, methadones) 18C 160-163 4
SOTHSALE OTHER:DANG NON-NARCOTICS Dangerous non-narcotic drugs (barbiturates, benzedrine) 18D 164-167 4
SDRGPOSS DRUG POSSESSION-SUBTOTAL The sum of variables SCOCPOSS and SOTHPOSS. 185 168-172 5
SCOCPOSS OPIUM/COCAINE-POSSESSION Possession of opium or cocaineand their derivatives (morphine, heroin, codeine) 18E 173-177 5
SMJPOSS MARIJUANA-POSSESSION 18F 178-181 4
SSYNPOSS SYNTHETIC NARCOTICS-POSSESSION Synthetic narcotics possession :manufactured narcotics which cancause true drug addiction (demerol, methadones) 18G 182-184 3
SOTHPOSS OTHER DRUG-POSSESSION Other dangerous non-narcotic drugs (barbiturates, benzedrine) 18H 185-189 5
SGAMBLE GAMBLING-TOTAL Gambling offenses, Sum of variables SBOOKMKG through SOTGAMBL. 19 190-193 4
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 Offenses against the family and children. 20 204-207 4
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 Juveniles only. 28 242-245 4
SRUNAWAY RUNAWAYS Juveniles only. 29 246-250 5


CODEBOOK FOR UCR COUNTY-LEVEL CRIMES REPORTED DATA 2010

Var # Variable FBI Offense Code Columns Width
STUDYNO ICPSR STUDY NUMBER (This variable is no longer in use) &nbsp 40912 4
EDITION ICPSR EDITION NUMBER &nbsp 5 1
PART ICPSR PART NUMBER-4 &nbsp 6 1
IDNO ICPSR SEQUENTIAL CASE ID NUMBER &nbsp 7-10 4
FIPS_ST FIPS STATE CODE &nbsp 11-12 2
FIPS_CTY FIPS COUNTY CODE &nbsp 13-15 3
CPOPARST TOTAL COUNTY POPULATION OF AGENCIES REPORTING ARRESTS See Additional Notes in Introduction. &nbsp 16-23 8
CPOPCRIM COUNTY POPULATION OF AGENCIES REPORTING CRIMES See Additional Notes in Introduction. &nbsp 24-31 8
AG_ARRST NUMBER OF AGENCIES IN COUNTY REPORTING ARRESTS See Additional Notes in Introduction. &nbsp 32-34 3
AG_OFF NUMBER OF AGENCIES IN COUNTY REPORTING CRIMES See Additional Notes in Introduction. &nbsp 35-37 3
COVIND COVERAGE INDICATOR &nbsp 38-45 8.4
INDEX INDEX Total number of UCR Index crimes,excluding arson. The sum ofvariables MURDER through MVTHEFT. &nbsp 46-51 6
MODINDX MODIFIED INDEX Total number of UCR Index crimes, including arson. The sum of variables MURDER through ARSON. &nbsp 52-57 6
MURDER MURDERS 011 58-61 4
RAPE FORCIBLE RAPES 02 62-65 4
ROBBERY ROBBERIES 03 66-70 5
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
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Appendix--FIPS Codes for UCR County-Level Data
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
1 Alabama 2 Alaska 4 Arizona 5 Arkansas 6 California
1001 Autauga 2013 Aleutians East 4001 Apache 5001 Arkansas 6001 Alameda
1003 Baldwin 2016 Aleutians West 4003 Cochise 5003 Ashley 6003 Alpine
1005 Barbour 2020 Anchorage 4005 Coconino 5005 Baxter 6005 Amador
1007 Bibb 2050 Bethel 4007 Gila 5007 Benton 6007 Butte
1009 Blount 2060 Bristol Bay 4009 Graham 5009 Boone 6009 Calaveras
1011 Bullock 2070 Dillingham 4011 Greenlee 5011 Bradley 6011 Colusa
1013 Butler 2090 Fairbanks North Star 4012 La Paz 5013 Calhoun 6013 Contra Costa
1015 Calhoun 2100 Haines 4013 Maricopa 5015 Carroll 6015 Del Norte
1017 Chambers 2110 Juneau 4015 Mohave 5017 Chicot 6017 El Dorado
1019 Cherokee 2122 Kenai Peninsula 4017 Navajo 5019 Clark 6019 Fresno
1021 Chilton 2130 Ketchikan Gateway 4019 Pima 5021 Clay 6021 Glenn
1023 Choctaw 2150 Kodiak Island 4021 Pinal 5023 Cleburne 6023 Humboldt
1025 Clarke 2164 Lake and Peninsula 4023 Santa Cruz 5025 Cleveland 6025 Imperial
1027 Clay 2170 Matanuska-Susitna 4025 Yavapai 5027 Columbia 6027 Inyo
1029 Cleburne 2180 Nome 4027 Yuma 5029 Conway 6029 Kern
1031 Coffee 2185 North Slope     5031 Craighead 6031 Kings
1033 Colbert 2188 Northwest Arctic     5033 Crawford 6033 Lake
1035 Conecuh 2201 Prince of Wales-Outer Ketchikan     5035 Crittenden 6035 Lassen
1037 Coosa 2220 Sitka     5037 Cross 6037 Los Angeles
1039 Covington 2232 Skagway-Hoonah-Angoon     5039 Dallas 6039 Madera
1041 Crenshaw 2240 Southeast Fairbanks     5041 Desha 6041 Marin
1043 Cullman 2261 Valdez-Cordova     5043 Drew 6043 Mariposa
1045 Dale 2270 Wade Hampton     5045 Faulkner 6045 Mendocino
1047 Dallas 2280 Wrangell-Petersburg     5047 Franklin 6047 Merced
1049 De Kalb 2282 Yakutat     5049 Fulton 6049 Modoc
1051 Elmore 2290 Yukon-Koyukuk     5051 Garland 6051 Mono
1053 Escambia         5053 Grant 6053 Monterey
1055 Etowah         5055 Greene 6055 Napa
1057 Fayette         5057 Hempstead 6057 Nevada
1059 Franklin         5059 Hot Spring 6059 Orange
1061 Geneva         5061 Howard 6061 Placer
1063 Greene         5063 Independence 6063 Plumas
1065 Hale         5065 Izard 6065 Riverside
1067 Henry         5067 Jackson 6067 Sacramento
1069 Houston         5069 Jefferson 6069 San Benito
1071 Jackson         5071 Johnson 6071 San Bernardino
1073 Jefferson         5073 Lafayette 6073 San Diego
1075 Lamar         5075 Lawrence 6075 San Francisco
1077 Lauderdale         5077 Lee 6077 San Joaquin
1079 Lawrence         5079 Lincoln 6079 San Luis Obispo
1081 Lee         5081 Little River 6081 San Mateo
1083 Limestone         5083 Logan 6083 Santa Barbara
1085 Lowndes         5085 Lonoke 6085 Santa Clara
1087 Macon         5087 Madison 6087 Santa Cruz
1089 Madison         5089 Marion 6089 Shasta
1091 Marengo         5091 Miller 6091 Sierra
1093 Marion         5093 Mississippi 6093 Siskiyou
1095 Marshall         5095 Monroe 6095 Solano
1097 Mobile         5097 Montgomery 6097 Sonoma
1099 Monroe         5099 Nevada 6099 Stanislaus
1101 Montgomery         5101 Newton 6101 Sutter
1103 Morgan         5103 Ouachita 6103 Tehama
1105 Perry         5105 Perry 6105 Trinity
1107 Pickens         5107 Phillips 6107 Tulare
1109 Pike         5109 Pike 6109 Tuolumne
1111 Randolph         5111 Poinsett 6111 Ventura
1113 Russell         5113 Polk 6113 Yolo
1115 St Clair         5115 Pope 6115 Yuba
1117 Shelby         5117 Prairie    
1119 Sumter         5119 Pulaski    
1121 Talladega         5121 Randolph    
1123 Tallapoosa         5123 St Francis    
1125 Tuscaloosa         5125 Saline    
1127 Walker         5127 Scott    
1129 Washington         5129 Searcy    
1131 Wilcox         5131 Sebastian    
1133 Winston         5133 Sevier    
            5135 Sharp    
            5137 Stone    
            5139 Union    
            5141 Van Buren    
            5143 Washington    
            5145 White    
            5147 Woodruff    
            5149 Yell    
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
8 Colorado 9 Connecticut 10 Delaware 11 District of Columbia 12 Florida
8001 Adams 9001 Fairfield 10001 Kent 11001 District of Columbia 12001 Alachua
8003 Alamosa 9003 Hartford 10003 New Castle     12003 Baker
8005 Arapahoe 9005 Litchfield 10005 Sussex     12005 Bay
8007 Archuleta 9007 Middlesex         12007 Bradford
8009 Baca 9009 New Haven         12009 Brevard
8011 Bent 9011 New London         12011 Broward
8013 Boulder 9013 Tolland         12013 Calhoun
8014 Broomfield 9015 Windham         12015 Charlotte
8015 Chaffee             12017 Citrus
8017 Cheyenne             12019 Clay
8019 Clear Creek             12021 Collier
8021 Conejos             12023 Columbia
8023 Costilla             12027 De Soto
8025 Crowley             12029 Dixie
8027 Custer             12031 Duval
8029 Delta             12033 Escambia
8031 Denver             12035 Flagler
8033 Dolores             12037 Franklin
8035 Douglas             12039 Gadsden
8037 Eagle             12041 Gilchrist
8039 Elbert             12043 Glades
8041 El Paso             12045 Gulf
8043 Fremont             12047 Hamilton
8045 Garfield             12049 Hardee
8047 Gilpin             12051 Hendry
8049 Grand             12053 Hernando
8051 Gunnison             12055 Highlands
8053 Hinsdale             12057 Hillsborough
8055 Huerfano             12059 Holmes
8057 Jackson             12061 Indian River
8059 Jefferson             12063 Jackson
8061 Kiowa             12065 Jefferson
8063 Kit Carson             12067 Lafayette
8065 Lake             12069 Lake
8067 La Plata             12071 Lee
8069 Larimer             12073 Leon
8071 Las Animas             12075 Levy
8073 Lincoln             12077 Liberty
8075 Logan             12079 Madison
8077 Mesa             12081 Manatee
8079 Mineral             12083 Marion
8081 Moffat             12085 Martin
8083 Montezuma             12086 Miami-Dade
8085 Montrose             12087 Monroe
8087 Morgan             12089 Nassau
8089 Otero             12091 Okaloosa
8091 Ouray             12093 Okeechobee
8093 Park             12095 Orange
8095 Phillips             12097 Osceola
8097 Pitkin             12099 Palm Beach
8099 Prowers             12101 Pasco
8101 Pueblo             12103 Pinellas
8103 Rio Blanco             12105 Polk
8105 Rio Grande             12107 Putnam
8107 Routt             12109 St Johns
8109 Saguache             12111 St Lucie
8111 San Juan             12113 Santa Rosa
8113 San Miguel             12115 Sarasota
8115 Sedgwick             12117 Seminole
8117 Summit             12119 Sumter
8119 Teller             12121 Suwannee
8121 Washington             12123 Taylor
8123 Weld             12125 Union
8125 Yuma             12127 Volusia
                12129 Wakulla
                12131 Walton
                12133 Washington
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
13 Georgia 15 Hawaii 16 Idaho 17 Illinois 18 Indiana
13001 Appling 15001 Hawaii 16001 Ada 17001 Adams 18001 Adams
13003 Atkinson 15003 Honolulu 16003 Adams 17003 Alexander 18003 Allen
13005 Bacon 15005 Kalawao 16005 Bannock 17005 Bond 18005 Bartholomew
13007 Baker 15007 Kauai 16007 Bear Lake 17007 Boone 18007 Benton
13009 Baldwin 15009 Maui 16009 Benewah 17009 Brown 18009 Blackford
13011 Banks     16011 Bingham 17011 Bureau 18011 Boone
13013 Barrow     16013 Blaine 17013 Calhoun 18013 Brown
13015 Bartow     16015 Boise 17015 Carroll 18015 Carroll
13017 Ben Hill     16017 Bonner 17017 Cass 18017 Cass
13019 Berrien     16019 Bonneville 17019 Champaign 18019 Clark
13021 Bibb     16021 Boundary 17021 Christian 18021 Clay
13023 Bleckley     16023 Butte 17023 Clark 18023 Clinton
13025 Brantley     16025 Camas 17025 Clay 18025 Crawford
13027 Brooks     16027 Canyon 17027 Clinton 18027 Daviess
13029 Bryan     16029 Caribou 17029 Coles 18029 Dearborn
13031 Bulloch     16031 Cassia 17031 Cook 18031 Decatur
13033 Burke     16033 Clark 17033 Crawford 18033 De Kalb
13035 Butts     16035 Clearwater 17035 Cumberland 18035 Delaware
13037 Calhoun     16037 Custer 17037 De Kalb 18037 Dubois
13039 Camden     16039 Elmore 17039 De Witt 18039 Elkhart
13043 Candler     16041 Franklin 17041 Douglas 18041 Fayette
13045 Carroll     16043 Fremont 17043 Du Page 18043 Floyd
13047 Catoosa     16045 Gem 17045 Edgar 18045 Fountain
13049 Charlton     16047 Gooding 17047 Edwards 18047 Franklin
13051 Chatham     16049 Idaho 17049 Effingham 18049 Fulton
13053 Chattahoochee     16051 Jefferson 17051 Fayette 18051 Gibson
13055 Chattooga     16053 Jerome 17053 Ford 18053 Grant
13057 Cherokee     16055 Kootenai 17055 Franklin 18055 Greene
13059 Clarke     16057 Latah 17057 Fulton 18057 Hamilton
13061 Clay     16059 Lemhi 17059 Gallatin 18059 Hancock
13063 Clayton     16061 Lewis 17061 Greene 18061 Harrison
13065 Clinch     16063 Lincoln 17063 Grundy 18063 Hendricks
13067 Cobb     16065 Madison 17065 Hamilton 18065 Henry
13069 Coffee     16067 Minidoka 17067 Hancock 18067 Howard
13071 Colquitt     16069 Nez Perce 17069 Hardin 18069 Huntington
13073 Columbia     16071 Oneida 17071 Henderson 18071 Jackson
13075 Cook     16073 Owyhee 17073 Henry 18073 Jasper
13077 Coweta     16075 Payette 17075 Iroquois 18075 Jay
13079 Crawford     16077 Power 17077 Jackson 18077 Jefferson
13081 Crisp     16079 Shoshone 17079 Jasper 18079 Jennings
13083 Dade     16081 Teton 17081 Jefferson 18081 Johnson
13085 Dawson     16083 Twin Falls 17083 Jersey 18083 Knox
13087 Decatur     16085 Valley 17085 Jo Daviess 18085 Kosciusko
13089 De Kalb     16087 Washington 17087 Johnson 18087 Lagrange
13091 Dodge         17089 Kane 18089 Lake
13093 Dooly         17091 Kankakee 18091 La Porte
13095 Dougherty         17093 Kendall 18093 Lawrence
13097 Douglas         17095 Knox 18095 Madison
13099 Early         17097 Lake 18097 Marion
13101 Echols         17099 La Salle 18099 Marshall
13103 Effingham         17101 Lawrence 18101 Martin
13105 Elbert         17103 Lee 18103 Miami
13107 Emanuel         17105 Livingston 18105 Monroe
13109 Evans         17107 Logan 18107 Montgomery
13111 Fannin         17109 McDonough 18109 Morgan
13113 Fayette         17111 McHenry 18111 Newton
13115 Floyd         17113 McLean 18113 Noble
13117 Forsyth         17115 Macon 18115 Ohio
13119 Franklin         17117 Macoupin 18117 Orange
13121 Fulton         17119 Madison 18119 Owen
13123 Gilmer         17121 Marion 18121 Parke
13125 Glascock         17123 Marshall 18123 Perry
13127 Glynn         17125 Mason 18125 Pike
13129 Gordon         17127 Massac 18127 Porter
13131 Grady         17129 Menard 18129 Posey
13133 Greene         17131 Mercer 18131 Pulaski
13135 Gwinnett         17133 Monroe 18133 Putnam
13137 Habersham         17135 Montgomery 18135 Randolph
13139 Hall         17137 Morgan 18137 Ripley
13141 Hancock         17139 Moultrie 18139 Rush
13143 Haralson         17141 Ogle 18141 St Joseph
13145 Harris         17143 Peoria 18143 Scott
13147 Hart         17145 Perry 18145 Shelby
13149 Heard         17147 Piatt 18147 Spencer
13151 Henry         17149 Pike 18149 Starke
13153 Houston         17151 Pope 18151 Steuben
13155 Irwin         17153 Pulaski 18153 Sullivan
13157 Jackson         17155 Putnam 18155 Switzerland
13159 Jasper         17157 Randolph 18157 Tippecanoe
13161 Jeff Davis         17159 Richland 18159 Tipton
13163 Jefferson         17161 Rock Island 18161 Union
13165 Jenkins         17163 St Clair 18163 Vanderburgh
13167 Johnson         17165 Saline 18165 Vermillion
13169 Jones         17167 Sangamon 18167 Vigo
13171 Lamar         17169 Schuyler 18169 Wabash
13173 Lanier         17171 Scott 18171 Warren
13175 Laurens         17173 Shelby 18173 Warrick
13177 Lee         17175 Stark 18175 Washington
13179 Liberty         17177 Stephenson 18177 Wayne
13181 Lincoln         17179 Tazewell 18179 Wells
13183 Long         17181 Union 18181 White
13185 Lowndes         17183 Vermilion 18183 Whitley
13187 Lumpkin         17185 Wabash    
13189 McDuffie         17187 Warren    
13191 McIntosh         17189 Washington    
13193 Macon         17191 Wayne    
13195 Madison         17193 White    
13197 Marion         17195 Whiteside    
13199 Meriwether         17197 Will    
13201 Miller         17199 Williamson    
13205 Mitchell         17201 Winnebago    
13207 Monroe         17203 Woodford    
13209 Montgomery                
13211 Morgan                
13213 Murray                
13215 Muscogee                
13217 Newton                
13219 Oconee                
13221 Oglethorpe                
13223 Paulding                
13225 Peach                
13227 Pickens                
13229 Pierce                
13231 Pike                
13233 Polk                
13235 Pulaski                
13237 Putnam                
13239 Quitman                
13241 Rabun                
13243 Randolph                
13245 Richmond                
13247 Rockdale                
13249 Schley                
13251 Screven                
13253 Seminole                
13255 Spalding                
13257 Stephens                
13259 Stewart                
13261 Sumter                
13263 Talbot                
13265 Taliaferro                
13267 Tattnall                
13269 Taylor                
13271 Telfair                
13273 Terrell                
13275 Thomas                
13277 Tift                
13279 Toombs                
13281 Towns                
13283 Treutlen                
13285 Troup                
13287 Turner                
13289 Twiggs                
13291 Union                
13293 Upson                
13295 Walker                
13297 Walton                
13299 Ware                
13301 Warren                
13303 Washington                
13305 Wayne                
13307 Webster                
13309 Wheeler                
13311 White                
13313 Whitfield                
13315 Wilcox                
13317 Wilkes                
13319 Wilkinson                
13321 Worth                
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
19 Iowa 20 Kansas 21 Kentucky 22 Louisiana (Parishes) 23 Maine
19001 Adair 20001 Allen 21001 Adair 22001 Acadia 23001 Androscoggin
19003 Adams 20003 Anderson 21003 Allen 22003 Allen 23003 Aroostook
19005 Allamakee 20005 Atchison 21005 Anderson 22005 Ascension 23005 Cumberland
19007 Appanoose 20007 Barber 21007 Ballard 22007 Assumption 23007 Franklin
19009 Audubon 20009 Barton 21009 Barren 22009 Avoyelles 23009 Hancock
19011 Benton 20011 Bourbon 21011 Bath 22011 Beauregard 23011 Kennebec
19013 Black Hawk 20013 Brown 21013 Bell 22013 Bienville 23013 Knox
19015 Boone 20015 Butler 21015 Boone 22015 Bossier 23015 Lincoln
19017 Bremer 20017 Chase 21017 Bourbon 22017 Caddo 23017 Oxford
19019 Buchanan 20019 Chautauqua 21019 Boyd 22019 Calcasieu 23019 Penobscot
19021 Buena Vista 20021 Cherokee 21021 Boyle 22021 Caldwell 23021 Piscataquis
19023 Butler 20023 Cheyenne 21023 Bracken 22023 Cameron 23023 Sagadahoc
19025 Calhoun 20025 Clark 21025 Breathitt 22025 Catahoula 23025 Somerset
19027 Carroll 20027 Clay 21027 Breckinridge 22027 Claiborne 23027 Waldo
19029 Cass 20029 Cloud 21029 Bullitt 22029 Concordia 23029 Washington
19031 Cedar 20031 Coffey 21031 Butler 22031 De Soto 23031 York
19033 Cerro Gordo 20033 Comanche 21033 Caldwell 22033 East Baton Rouge    
19035 Cherokee 20035 Cowley 21035 Calloway 22035 East Carroll    
19037 Chickasaw 20037 Crawford 21037 Campbell 22037 East Feliciana    
19039 Clarke 20039 Decatur 21039 Carlisle 22039 Evangeline    
19041 Clay 20041 Dickinson 21041 Carroll 22041 Franklin    
19043 Clayton 20043 Doniphan 21043 Carter 22043 Grant    
19045 Clinton 20045 Douglas 21045 Casey 22045 Iberia    
19047 Crawford 20047 Edwards 21047 Christian 22047 Iberville    
19049 Dallas 20049 Elk 21049 Clark 22049 Jackson    
19051 Davis 20051 Ellis 21051 Clay 22051 Jefferson    
19053 Decatur 20053 Ellsworth 21053 Clinton 22053 Jefferson Davis    
19055 Delaware 20055 Finney 21055 Crittenden 22055 Lafayette    
19057 Des Moines 20057 Ford 21057 Cumberland 22057 Lafourche    
19059 Dickinson 20059 Franklin 21059 Daviess 22059 La Salle    
19061 Dubuque 20061 Geary 21061 Edmonson 22061 Lincoln    
19063 Emmet 20063 Gove 21063 Elliott 22063 Livingston    
19065 Fayette 20065 Graham 21065 Estill 22065 Madison    
19067 Floyd 20067 Grant 21067 Fayette 22067 Morehouse    
19069 Franklin 20069 Gray 21069 Fleming 22069 Natchitoches    
19071 Fremont 20071 Greeley 21071 Floyd 22071 Orleans    
19073 Greene 20073 Greenwood 21073 Franklin 22073 Ouachita    
19075 Grundy 20075 Hamilton 21075 Fulton 22075 Plaquemines    
19077 Guthrie 20077 Harper 21077 Gallatin 22077 Pointe Coupee    
19079 Hamilton 20079 Harvey 21079 Garrard 22079 Rapides    
19081 Hancock 20081 Haskell 21081 Grant 22081 Red River    
19083 Hardin 20083 Hodgeman 21083 Graves 22083 Richland    
19085 Harrison 20085 Jackson 21085 Grayson 22085 Sabine    
19087 Henry 20087 Jefferson 21087 Green 22087 St Bernard    
19089 Howard 20089 Jewell 21089 Greenup 22089 St Charles    
19091 Humboldt 20091 Johnson 21091 Hancock 22091 St Helena    
19093 Ida 20093 Kearny 21093 Hardin 22093 St James    
19095 Iowa 20095 Kingman 21095 Harlan 22095 St John The Baptist    
19097 Jackson 20097 Kiowa 21097 Harrison 22097 St Landry    
19099 Jasper 20099 Labette 21099 Hart 22099 St Martin    
19101 Jefferson 20101 Lane 21101 Henderson 22101 St Mary    
19103 Johnson 20103 Leavenworth 21103 Henry 22103 St Tammany    
19105 Jones 20105 Lincoln 21105 Hickman 22105 Tangipahoa    
19107 Keokuk 20107 Linn 21107 Hopkins 22107 Tensas    
19109 Kossuth 20109 Logan 21109 Jackson 22109 Terrebonne    
19111 Lee 20111 Lyon 21111 Jefferson 22111 Union    
19113 Linn 20113 McPherson 21113 Jessamine 22113 Vermilion    
19115 Louisa 20115 Marion 21115 Johnson 22115 Vernon    
19117 Lucas 20117 Marshall 21117 Kenton 22117 Washington    
19119 Lyon 20119 Meade 21119 Knott 22119 Webster    
19121 Madison 20121 Miami 21121 Knox 22121 West Baton Rouge    
19123 Mahaska 20123 Mitchell 21123 Larue 22123 West Carroll    
19125 Marion 20125 Montgomery 21125 Laurel 22125 West Feliciana    
19127 Marshall 20127 Morris 21127 Lawrence 22127 Winn    
19129 Mills 20129 Morton 21129 Lee        
19131 Mitchell 20131 Nemaha 21131 Leslie        
19133 Monona 20133 Neosho 21133 Letcher        
19135 Monroe 20135 Ness 21135 Lewis        
19137 Montgomery 20137 Norton 21137 Lincoln        
19139 Muscatine 20139 Osage 21139 Livingston        
19141 O'Brien 20141 Osborne 21141 Logan        
19143 Osceola 20143 Ottawa 21143 Lyon        
19145 Page 20145 Pawnee 21145 McCracken        
19147 Palo Alto 20147 Phillips 21147 McCreary        
19149 Plymouth 20149 Pottawatomie 21149 McLean        
19151 Pocahontas 20151 Pratt 21151 Madison        
19153 Polk 20153 Rawlins 21153 Magoffin        
19155 Pottawattamie 20155 Reno 21155 Marion        
19157 Poweshiek 20157 Republic 21157 Marshall        
19159 Ringgold 20159 Rice 21159 Martin        
19161 Sac 20161 Riley 21161 Mason        
19163 Scott 20163 Rooks 21163 Meade        
19165 Shelby 20165 Rush 21165 Menifee        
19167 Sioux 20167 Russell 21167 Mercer        
19169 Story 20169 Saline 21169 Metcalfe        
19171 Tama 20171 Scott 21171 Monroe        
19173 Taylor 20173 Sedgwick 21173 Montgomery        
19175 Union 20175 Seward 21175 Morgan        
19177 Van Buren 20177 Shawnee 21177 Muhlenberg        
19179 Wapello 20179 Sheridan 21179 Nelson        
19181 Warren 20181 Sherman 21181 Nicholas        
19183 Washington 20183 Smith 21183 Ohio        
19185 Wayne 20185 Stafford 21185 Oldham        
19187 Webster 20187 Stanton 21187 Owen        
19189 Winnebago 20189 Stevens 21189 Owsley        
19191 Winneshiek 20191 Sumner 21191 Pendleton        
19193 Woodbury 20193 Thomas 21193 Perry        
19195 Worth 20195 Trego 21195 Pike        
19197 Wright 20197 Wabaunsee 21197 Powell        
    20199 Wallace 21199 Pulaski        
    20201 Washington 21201 Robertson        
    20203 Wichita 21203 Rockcastle        
    20205 Wilson 21205 Rowan        
    20207 Woodson 21207 Russell        
    20209 Wyandotte 21209 Scott        
        21211 Shelby        
        21213 Simpson        
        21215 Spencer        
        21217 Taylor        
        21219 Todd        
        21221 Trigg        
        21223 Trimble        
        21225 Union        
        21227 Warren        
        21229 Washington        
        21231 Wayne        
        21233 Webster        
        21235 Whitley        
        21237 Wolfe        
        21239 Woodford        
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
24 Maryland 25 Massachusetts 26 Michigan 27 Minnesota 28 Mississippi
24001 Allegany 25001 Barnstable 26001 Alcona 27001 Aitkin 28001 Adams
24003 Anne Arundel 25003 Berkshire 26003 Alger 27003 Anoka 28003 Alcorn
24005 Baltimore 25005 Bristol 26005 Allegan 27005 Becker 28005 Amite
24009 Calvert 25007 Dukes 26007 Alpena 27007 Beltrami 28007 Attala
24011 Caroline 25009 Essex 26009 Antrim 27009 Benton 28009 Benton
24013 Carroll 25011 Franklin 26011 Arenac 27011 Big Stone 28011 Bolivar
24015 Cecil 25013 Hampden 26013 Baraga 27013 Blue Earth 28013 Calhoun
24017 Charles 25015 Hampshire 26015 Barry 27015 Brown 28015 Carroll
24019 Dorchester 25017 Middlesex 26017 Bay 27017 Carlton 28017 Chickasaw
24021 Frederick 25019 Nantucket 26019 Benzie 27019 Carver 28019 Choctaw
24023 Garrett 25021 Norfolk 26021 Berrien 27021 Cass 28021 Claiborne
24025 Harford 25023 Plymouth 26023 Branch 27023 Chippewa 28023 Clarke
24027 Howard 25025 Suffolk 26025 Calhoun 27025 Chisago 28025 Clay
24029 Kent 25027 Worcester 26027 Cass 27027 Clay 28027 Coahoma
24031 Montgomery     26029 Charlevoix 27029 Clearwater 28029 Copiah
24033 Prince George's     26031 Cheboygan 27031 Cook 28031 Covington
24035 Queen Anne's     26033 Chippewa 27033 Cottonwood 28033 De Soto
24037 St Mary's     26035 Clare 27035 Crow Wing 28035 Forrest
24039 Somerset     26037 Clinton 27037 Dakota 28037 Franklin
24041 Talbot     26039 Crawford 27039 Dodge 28039 George
24043 Washington     26041 Delta 27041 Douglas 28041 Greene
24045 Wicomico     26043 Dickinson 27043 Faribault 28043 Grenada
24047 Worcester     26045 Eaton 27045 Fillmore 28045 Hancock
24510 Baltimore city     26047 Emmet 27047 Freeborn 28047 Harrison
        26049 Genesee 27049 Goodhue 28049 Hinds
        26051 Gladwin 27051 Grant 28051 Holmes
        26053 Gogebic 27053 Hennepin 28053 Humphreys
        26055 Grand Traverse 27055 Houston 28055 Issaquena
        26057 Gratiot 27057 Hubbard 28057 Itawamba
        26059 Hillsdale 27059 Isanti 28059 Jackson
        26061 Houghton 27061 Itasca 28061 Jasper
        26063 Huron 27063 Jackson 28063 Jefferson
        26065 Ingham 27065 Kanabec 28065 Jefferson Davis
        26067 Ionia 27067 Kandiyohi 28067 Jones
        26069 Iosco 27069 Kittson 28069 Kemper
        26071 Iron 27071 Koochiching 28071 Lafayette
        26073 Isabella 27073 Lac qui Parle 28073 Lamar
        26075 Jackson 27075 Lake 28075 Lauderdale
        26077 Kalamazoo 27077 Lake Of The Woods 28077 Lawrence
        26079 Kalkaska 27079 Le Sueur 28079 Leake
        26081 Kent 27081 Lincoln 28081 Lee
        26083 Keweenaw 27083 Lyon 28083 Leflore
        26085 Lake 27085 McLeod 28085 Lincoln
        26087 Lapeer 27087 Mahnomen 28087 Lowndes
        26089 Leelanau 27089 Marshall 28089 Madison
        26091 Lenawee 27091 Martin 28091 Marion
        26093 Livingston 27093 Meeker 28093 Marshall
        26095 Luce 27095 Mille Lacs 28095 Monroe
        26097 Mackinac 27097 Morrison 28097 Montgomery
        26099 Macomb 27099 Mower 28099 Neshoba
        26101 Manistee 27101 Murray 28101 Newton
        26103 Marquette 27103 Nicollet 28103 Noxubee
        26105 Mason 27105 Nobles 28105 Oktibbeha
        26107 Mecosta 27107 Norman 28107 Panola
        26109 Menominee 27109 Olmsted 28109 Pearl River
        26111 Midland 27111 Otter Tail 28111 Perry
        26113 Missaukee 27113 Pennington 28113 Pike
        26115 Monroe 27115 Pine 28115 Pontotoc
        26117 Montcalm 27117 Pipestone 28117 Prentiss
        26119 Montmorency 27119 Polk 28119 Quitman
        26121 Muskegon 27121 Pope 28121 Rankin
        26123 Newaygo 27123 Ramsey 28123 Scott
        26125 Oakland 27125 Red Lake 28125 Sharkey
        26127 Oceana 27127 Redwood 28127 Simpson
        26129 Ogemaw 27129 Renville 28129 Smith
        26131 Ontonagon 27131 Rice 28131 Stone
        26133 Osceola 27133 Rock 28133 Sunflower
        26135 Oscoda 27135 Roseau 28135 Tallahatchie
        26137 Otsego 27137 St Louis 28137 Tate
        26139 Ottawa 27139 Scott 28139 Tippah
        26141 Presque Isle 27141 Sherburne 28141 Tishomingo
        26143 Roscommon 27143 Sibley 28143 Tunica
        26145 Saginaw 27145 Stearns 28145 Union
        26147 St Clair 27147 Steele 28147 Walthall
        26149 St Joseph 27149 Stevens 28149 Warren
        26151 Sanilac 27151 Swift 28151 Washington
        26153 Schoolcraft 27153 Todd 28153 Wayne
        26155 Shiawassee 27155 Traverse 28155 Webster
        26157 Tuscola 27157 Wabasha 28157 Wilkinson
        26159 Van Buren 27159 Wadena 28159 Winston
        26161 Washtenaw 27161 Waseca 28161 Yalobusha
        26163 Wayne 27163 Washington 28163 Yazoo
        26165 Wexford 27165 Watonwan    
            27167 Wilkin    
            27169 Winona    
            27171 Wright    
            27173 Yellow Medicine    
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
29 Missouri 30 Montana 31 Nebraska 32 Nevada 33 New Hampshire
29001 Adair 30001 Beaverhead 31001 Adams 32001 Churchill 33001 Belknap
29003 Andrew 30003 Big Horn 31003 Antelope 32003 Clark 33003 Carroll
29005 Atchison 30005 Blaine 31005 Arthur 32005 Douglas 33005 Cheshire
29007 Audrain 30007 Broadwater 31007 Banner 32007 Elko 33007 Coos
29009 Barry 30009 Carbon 31009 Blaine 32009 Esmeralda 33009 Grafton
29011 Barton 30011 Carter 31011 Boone 32011 Eureka 33011 Hillsborough
29013 Bates 30013 Cascade 31013 Box Butte 32013 Humboldt 33013 Merrimack
29015 Benton 30015 Chouteau 31015 Boyd 32015 Lander 33015 Rockingham
29017 Bollinger 30017 Custer 31017 Brown 32017 Lincoln 33017 Strafford
29019 Boone 30019 Daniels 31019 Buffalo 32019 Lyon 33019 Sullivan
29021 Buchanan 30021 Dawson 31021 Burt 32021 Mineral    
29023 Butler 30023 Deer Lodge 31023 Butler 32023 Nye    
29025 Caldwell 30025 Fallon 31025 Cass 32027 Pershing    
29027 Callaway 30027 Fergus 31027 Cedar 32029 Storey    
29029 Camden 30029 Flathead 31029 Chase 32031 Washoe    
29031 Cape Girardeau 30031 Gallatin 31031 Cherry 32033 White Pine    
29033 Carroll 30033 Garfield 31033 Cheyenne 32510 Carson City    
29035 Carter 30035 Glacier 31035 Clay        
29037 Cass 30037 Golden Valley 31037 Colfax        
29039 Cedar 30039 Granite 31039 Cuming        
29041 Chariton 30041 Hill 31041 Custer        
29043 Christian 30043 Jefferson 31043 Dakota        
29045 Clark 30045 Judith Basin 31045 Dawes        
29047 Clay 30047 Lake 31047 Dawson        
29049 Clinton 30049 Lewis and Clark 31049 Deuel        
29051 Cole 30051 Liberty 31051 Dixon        
29053 Cooper 30053 Lincoln 31053 Dodge        
29055 Crawford 30055 McCone 31055 Douglas        
29057 Dade 30057 Madison 31057 Dundy        
29059 Dallas 30059 Meagher 31059 Fillmore        
29061 Daviess 30061 Mineral 31061 Franklin        
29063 De Kalb 30063 Missoula 31063 Frontier        
29065 Dent 30065 Musselshell 31065 Furnas        
29067 Douglas 30067 Park 31067 Gage        
29069 Dunklin 30069 Petroleum 31069 Garden        
29071 Franklin 30071 Phillips 31071 Garfield        
29073 Gasconade 30073 Pondera 31073 Gosper        
29075 Gentry 30075 Powder River 31075 Grant        
29077 Greene 30077 Powell 31077 Greeley        
29079 Grundy 30079 Prairie 31079 Hall        
29081 Harrison 30081 Ravalli 31081 Hamilton        
29083 Henry 30083 Richland 31083 Harlan        
29085 Hickory 30085 Roosevelt 31085 Hayes        
29087 Holt 30087 Rosebud 31087 Hitchcock        
29089 Howard 30089 Sanders 31089 Holt        
29091 Howell 30091 Sheridan 31091 Hooker        
29093 Iron 30093 Silver Bow 31093 Howard        
29095 Jackson 30095 Stillwater 31095 Jefferson        
29097 Jasper 30097 Sweet Grass 31097 Johnson        
29099 Jefferson 30099 Teton 31099 Kearney        
29101 Johnson 30101 Toole 31101 Keith        
29103 Knox 30103 Treasure 31103 Keya Paha        
29105 Laclede 30105 Valley 31105 Kimball        
29107 Lafayette 30107 Wheatland 31107 Knox        
29109 Lawrence 30109 Wibaux 31109 Lancaster        
29111 Lewis 30111 Yellowstone 31111 Lincoln        
29113 Lincoln 30113 Yellowstone National Park 31113 Logan        
29115 Linn     31115 Loup        
29117 Livingston     31117 McPherson        
29119 McDonald     31119 Madison        
29121 Macon     31121 Merrick        
29123 Madison     31123 Morrill        
29125 Maries     31125 Nance        
29127 Marion     31127 Nemaha        
29129 Mercer     31129 Nuckolls        
29131 Miller     31131 Otoe        
29133 Mississippi     31133 Pawnee        
29135 Moniteau     31135 Perkins        
29137 Monroe     31137 Phelps        
29139 Montgomery     31139 Pierce        
29141 Morgan     31141 Platte        
29143 New Madrid     31143 Polk        
29145 Newton     31145 Red Willow        
29147 Nodaway     31147 Richardson        
29149 Oregon     31149 Rock        
29151 Osage     31151 Saline        
29153 Ozark     31153 Sarpy        
29155 Pemiscot     31155 Saunders        
29157 Perry     31157 Scotts Bluff        
29159 Pettis     31159 Seward        
29161 Phelps     31161 Sheridan        
29163 Pike     31163 Sherman        
29165 Platte     31165 Sioux        
29167 Polk     31167 Stanton        
29169 Pulaski     31169 Thayer        
29171 Putnam     31171 Thomas        
29173 Ralls     31173 Thurston        
29175 Randolph     31175 Valley        
29177 Ray     31177 Washington        
29179 Reynolds     31179 Wayne        
29181 Ripley     31181 Webster        
29183 St Charles     31183 Wheeler        
29185 St Clair     31185 York        
29186 Ste Genevieve                
29187 St Francois                
29189 St Louis                
29195 Saline                
29197 Schuyler                
29199 Scotland                
29201 Scott                
29203 Shannon                
29205 Shelby                
29207 Stoddard                
29209 Stone                
29211 Sullivan                
29213 Taney                
29215 Texas                
29217 Vernon                
29219 Warren                
29221 Washington                
29223 Wayne                
29225 Webster                
29227 Worth                
29229 Wright                
29510 St Louis city                
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
34 New Jersey 35 New Mexico 36 New York 37 North Carolina 38 North Dakota
34001 Atlantic 35001 Bernalillo 36001 Albany 37001 Alamance 38001 Adams
34003 Bergen 35003 Catron 36003 Allegany 37003 Alexander 38003 Barnes
34005 Burlington 35005 Chaves 36005 Bronx 37005 Alleghany 38005 Benson
34007 Camden 35006 Cibola 36007 Broome 37007 Anson 38007 Billings
34009 Cape May 35007 Colfax 36009 Cattaraugus 37009 Ashe 38009 Bottineau
34011 Cumberland 35009 Curry 36011 Cayuga 37011 Avery 38011 Bowman
34013 Essex 35011 De Baca 36013 Chautauqua 37013 Beaufort 38013 Burke
34015 Gloucester 35013 Dona Ana 36015 Chemung 37015 Bertie 38015 Burleigh
34017 Hudson 35015 Eddy 36017 Chenango 37017 Bladen 38017 Cass
34019 Hunterdon 35017 Grant 36019 Clinton 37019 Brunswick 38019 Cavalier
34021 Mercer 35019 Guadalupe 36021 Columbia 37021 Buncombe 38021 Dickey
34023 Middlesex 35021 Harding 36023 Cortland 37023 Burke 38023 Divide
34025 Monmouth 35023 Hidalgo 36025 Delaware 37025 Cabarrus 38025 Dunn
34027 Morris 35025 Lea 36027 Dutchess 37027 Caldwell 38027 Eddy
34029 Ocean 35027 Lincoln 36029 Erie 37029 Camden 38029 Emmons
34031 Passaic 35028 Los Alamos 36031 Essex 37031 Carteret 38031 Foster
34033 Salem 35029 Luna 36033 Franklin 37033 Caswell 38033 Golden Valley
34035 Somerset 35031 McKinley 36035 Fulton 37035 Catawba 38035 Grand Forks
34037 Sussex 35033 Mora 36037 Genesee 37037 Chatham 38037 Grant
34039 Union 35035 Otero 36039 Greene 37039 Cherokee 38039 Griggs
34041 Warren 35037 Quay 36041 Hamilton 37041 Chowan 38041 Hettinger
    35039 Rio Arriba 36043 Herkimer 37043 Clay 38043 Kidder
    35041 Roosevelt 36045 Jefferson 37045 Cleveland 38045 La Moure
    35043 Sandoval 36047 Kings 37047 Columbus 38047 Logan
    35045 San Juan 36049 Lewis 37049 Craven 38049 McHenry
    35047 San Miguel 36051 Livingston 37051 Cumberland 38051 McIntosh
    35049 Santa Fe 36053 Madison 37053 Currituck 38053 McKenzie
    35051 Sierra 36055 Monroe 37055 Dare 38055 McLean
    35053 Socorro 36057 Montgomery 37057 Davidson 38057 Mercer
    35055 Taos 36059 Nassau 37059 Davie 38059 Morton
    35057 Torrance 36061 New York 37061 Duplin 38061 Mountrail
    35059 Union 36063 Niagara 37063 Durham 38063 Nelson
    35061 Valencia 36065 Oneida 37065 Edgecombe 38065 Oliver
        36067 Onondaga 37067 Forsyth 38067 Pembina
        36069 Ontario 37069 Franklin 38069 Pierce
        36071 Orange 37071 Gaston 38071 Ramsey
        36073 Orleans 37073 Gates 38073 Ransom
        36075 Oswego 37075 Graham 38075 Renville
        36077 Otsego 37077 Granville 38077 Richland
        36079 Putnam 37079 Greene 38079 Rolette
        36081 Queens 37081 Guilford 38081 Sargent
        36083 Rensselaer 37083 Halifax 38083 Sheridan
        36085 Richmond 37085 Harnett 38085 Sioux
        36087 Rockland 37087 Haywood 38087 Slope
        36089 St Lawrence 37089 Henderson 38089 Stark
        36091 Saratoga 37091 Hertford 38091 Steele
        36093 Schenectady 37093 Hoke 38093 Stutsman
        36095 Schoharie 37095 Hyde 38095 Towner
        36097 Schuyler 37097 Iredell 38097 Traill
        36099 Seneca 37099 Jackson 38099 Walsh
        36101 Steuben 37101 Johnston 38101 Ward
        36103 Suffolk 37103 Jones 38103 Wells
        36105 Sullivan 37105 Lee 38105 Williams
        36107 Tioga 37107 Lenoir    
        36109 Tompkins 37109 Lincoln    
        36111 Ulster 37111 McDowell    
        36113 Warren 37113 Macon    
        36115 Washington 37115 Madison    
        36117 Wayne 37117 Martin    
        36119 Westchester 37119 Mecklenburg    
        36121 Wyoming 37121 Mitchell    
        36123 Yates 37123 Montgomery    
            37125 Moore    
            37127 Nash    
            37129 New Hanover    
            37131 Northampton    
            37133 Onslow    
            37135 Orange    
            37137 Pamlico    
            37139 Pasquotank    
            37141 Pender    
            37143 Perquimans    
            37145 Person    
            37147 Pitt    
            37149 Polk    
            37151 Randolph    
            37153 Richmond    
            37155 Robeson    
            37157 Rockingham    
            37159 Rowan    
            37161 Rutherford    
            37163 Sampson    
            37165 Scotland    
            37167 Stanly    
            37169 Stokes    
            37171 Surry    
            37173 Swain    
            37175 Transylvania    
            37177 Tyrrell    
            37179 Union    
            37181 Vance    
            37183 Wake    
            37185 Warren    
            37187 Washington    
            37189 Watauga    
            37191 Wayne    
            37193 Wilkes    
            37195 Wilson    
            37197 Yadkin    
            37199 Yancey    
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
39 Ohio 40 Oklahoma 41 Oregon 42 Pennsylvania 44 Rhode Island
39001 Adams 40001 Adair 41001 Baker 42001 Adams 44001 Bristol
39003 Allen 40003 Alfalfa 41003 Benton 42003 Allegheny 44003 Kent
39005 Ashland 40005 Atoka 41005 Clackamas 42005 Armstrong 44005 Newport
39007 Ashtabula 40007 Beaver 41007 Clatsop 42007 Beaver 44007 Providence
39009 Athens 40009 Beckham 41009 Columbia 42009 Bedford 44009 Washington
39011 Auglaize 40011 Blaine 41011 Coos 42011 Berks    
39013 Belmont 40013 Bryan 41013 Crook 42013 Blair    
39015 Brown 40015 Caddo 41015 Curry 42015 Bradford    
39017 Butler 40017 Canadian 41017 Deschutes 42017 Bucks    
39019 Carroll 40019 Carter 41019 Douglas 42019 Butler    
39021 Champaign 40021 Cherokee 41021 Gilliam 42021 Cambria    
39023 Clark 40023 Choctaw 41023 Grant 42023 Cameron    
39025 Clermont 40025 Cimarron 41025 Harney 42025 Carbon    
39027 Clinton 40027 Cleveland 41027 Hood River 42027 Centre    
39029 Columbiana 40029 Coal 41029 Jackson 42029 Chester    
39031 Coshocton 40031 Comanche 41031 Jefferson 42031 Clarion    
39033 Crawford 40033 Cotton 41033 Josephine 42033 Clearfield    
39035 Cuyahoga 40035 Craig 41035 Klamath 42035 Clinton    
39037 Darke 40037 Creek 41037 Lake 42037 Columbia    
39039 Defiance 40039 Custer 41039 Lane 42039 Crawford    
39041 Delaware 40041 Delaware 41041 Lincoln 42041 Cumberland    
39043 Erie 40043 Dewey 41043 Linn 42043 Dauphin    
39045 Fairfield 40045 Ellis 41045 Malheur 42045 Delaware    
39047 Fayette 40047 Garfield 41047 Marion 42047 Elk    
39049 Franklin 40049 Garvin 41049 Morrow 42049 Erie    
39051 Fulton 40051 Grady 41051 Multnomah 42051 Fayette    
39053 Gallia 40053 Grant 41053 Polk 42053 Forest    
39055 Geauga 40055 Greer 41055 Sherman 42055 Franklin    
39057 Greene 40057 Harmon 41057 Tillamook 42057 Fulton    
39059 Guernsey 40059 Harper 41059 Umatilla 42059 Greene    
39061 Hamilton 40061 Haskell 41061 Union 42061 Huntingdon    
39063 Hancock 40063 Hughes 41063 Wallowa 42063 Indiana    
39065 Hardin 40065 Jackson 41065 Wasco 42065 Jefferson    
39067 Harrison 40067 Jefferson 41067 Washington 42067 Juniata    
39069 Henry 40069 Johnston 41069 Wheeler 42069 Lackawanna    
39071 Highland 40071 Kay 41071 Yamhill 42071 Lancaster    
39073 Hocking 40073 Kingfisher     42073 Lawrence    
39075 Holmes 40075 Kiowa     42075 Lebanon    
39077 Huron 40077 Latimer     42077 Lehigh    
39079 Jackson 40079 Le Flore     42079 Luzerne    
39081 Jefferson 40081 Lincoln     42081 Lycoming    
39083 Knox 40083 Logan     42083 McKean    
39085 Lake 40085 Love     42085 Mercer    
39087 Lawrence 40087 McClain     42087 Mifflin    
39089 Licking 40089 McCurtain     42089 Monroe    
39091 Logan 40091 McIntosh     42091 Montgomery    
39093 Lorain 40093 Major     42093 Montour    
39095 Lucas 40095 Marshall     42095 Northampton    
39097 Madison 40097 Mayes     42097 Northumberland    
39099 Mahoning 40099 Murray     42099 Perry    
39101 Marion 40101 Muskogee     42101 Philadelphia    
39103 Medina 40103 Noble     42103 Pike    
39105 Meigs 40105 Nowata     42105 Potter    
39107 Mercer 40107 Okfuskee     42107 Schuylkill    
39109 Miami 40109 Oklahoma     42109 Snyder    
39111 Monroe 40111 Okmulgee     42111 Somerset    
39113 Montgomery 40113 Osage     42113 Sullivan    
39115 Morgan 40115 Ottawa     42115 Susquehanna    
39117 Morrow 40117 Pawnee     42117 Tioga    
39119 Muskingum 40119 Payne     42119 Union    
39121 Noble 40121 Pittsburg     42121 Venango    
39123 Ottawa 40123 Pontotoc     42123 Warren    
39125 Paulding 40125 Pottawatomie     42125 Washington    
39127 Perry 40127 Pushmataha     42127 Wayne    
39129 Pickaway 40129 Roger Mills     42129 Westmoreland    
39131 Pike 40131 Rogers     42131 Wyoming    
39133 Portage 40133 Seminole     42133 York    
39135 Preble 40135 Sequoyah            
39137 Putnam 40137 Stephens            
39139 Richland 40139 Texas            
39141 Ross 40141 Tillman            
39143 Sandusky 40143 Tulsa            
39145 Scioto 40145 Wagoner            
39147 Seneca 40147 Washington            
39149 Shelby 40149 Washita            
39151 Stark 40151 Woods            
39153 Summit 40153 Woodward            
39155 Trumbull                
39157 Tuscarawas                
39159 Union                
39161 Van Wert                
39163 Vinton                
39165 Warren                
39167 Washington                
39169 Wayne                
39171 Williams                
39173 Wood                
39175 Wyandot                
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah
45001 Abbeville 46003 Aurora 47001 Anderson 48001 Anderson 49001 Beaver
45003 Aiken 46005 Beadle 47003 Bedford 48003 Andrews 49003 Box Elder
45005 Allendale 46007 Bennett 47005 Benton 48005 Angelina 49005 Cache
45007 Anderson 46009 Bon Homme 47007 Bledsoe 48007 Aransas 49007 Carbon
45009 Bamberg 46011 Brookings 47009 Blount 48009 Archer 49009 Daggett
45011 Barnwell 46013 Brown 47011 Bradley 48011 Armstrong 49011 Davis
45013 Beaufort 46015 Brule 47013 Campbell 48013 Atascosa 49013 Duchesne
45015 Berkeley 46017 Buffalo 47015 Cannon 48015 Austin 49015 Emery
45017 Calhoun 46019 Butte 47017 Carroll 48017 Bailey 49017 Garfield
45019 Charleston 46021 Campbell 47019 Carter 48019 Bandera 49019 Grand
45021 Cherokee 46023 Charles Mix 47021 Cheatham 48021 Bastrop 49021 Iron
45023 Chester 46025 Clark 47023 Chester 48023 Baylor 49023 Juab
45025 Chesterfield 46027 Clay 47025 Claiborne 48025 Bee 49025 Kane
45027 Clarendon 46029 Codington 47027 Clay 48027 Bell 49027 Millard
45029 Colleton 46031 Corson 47029 Cocke 48029 Bexar 49029 Morgan
45031 Darlington 46033 Custer 47031 Coffee 48031 Blanco 49031 Piute
45033 Dillon 46035 Davison 47033 Crockett 48033 Borden 49033 Rich
45035 Dorchester 46037 Day 47035 Cumberland 48035 Bosque 49035 Salt Lake
45037 Edgefield 46039 Deuel 47037 Davidson 48037 Bowie 49037 San Juan
45039 Fairfield 46041 Dewey 47039 Decatur 48039 Brazoria 49039 Sanpete
45041 Florence 46043 Douglas 47041 De Kalb 48041 Brazos 49041 Sevier
45043 Georgetown 46045 Edmunds 47043 Dickson 48043 Brewster 49043 Summit
45045 Greenville 46047 Fall River 47045 Dyer 48045 Briscoe 49045 Tooele
45047 Greenwood 46049 Faulk 47047 Fayette 48047 Brooks 49047 Uintah
45049 Hampton 46051 Grant 47049 Fentress 48049 Brown 49049 Utah
45051 Horry 46053 Gregory 47051 Franklin 48051 Burleson 49051 Wasatch
45053 Jasper 46055 Haakon 47053 Gibson 48053 Burnet 49053 Washington
45055 Kershaw 46057 Hamlin 47055 Giles 48055 Caldwell 49055 Wayne
45057 Lancaster 46059 Hand 47057 Grainger 48057 Calhoun 49057 Weber
45059 Laurens 46061 Hanson 47059 Greene 48059 Callahan    
45061 Lee 46063 Harding 47061 Grundy 48061 Cameron    
45063 Lexington 46065 Hughes 47063 Hamblen 48063 Camp    
45065 McCormick 46067 Hutchinson 47065 Hamilton 48065 Carson    
45067 Marion 46069 Hyde 47067 Hancock 48067 Cass    
45069 Marlboro 46071 Jackson 47069 Hardeman 48069 Castro    
45071 Newberry 46073 Jerauld 47071 Hardin 48071 Chambers    
45073 Oconee 46075 Jones 47073 Hawkins 48073 Cherokee    
45075 Orangeburg 46077 Kingsbury 47075 Haywood 48075 Childress    
45077 Pickens 46079 Lake 47077 Henderson 48077 Clay    
45079 Richland 46081 Lawrence 47079 Henry 48079 Cochran    
45081 Saluda 46083 Lincoln 47081 Hickman 48081 Coke    
45083 Spartanburg 46085 Lyman 47083 Houston 48083 Coleman    
45085 Sumter 46087 McCook 47085 Humphreys 48085 Collin    
45087 Union 46089 McPherson 47087 Jackson 48087 Collingsworth    
45089 Williamsburg 46091 Marshall 47089 Jefferson 48089 Colorado    
45091 York 46093 Meade 47091 Johnson 48091 Comal    
    46095 Mellette 47093 Knox 48093 Comanche    
    46097 Miner 47095 Lake 48095 Concho    
    46099 Minnehaha 47097 Lauderdale 48097 Cooke    
    46101 Moody 47099 Lawrence 48099 Coryell    
    46103 Pennington 47101 Lewis 48101 Cottle    
    46105 Perkins 47103 Lincoln 48103 Crane    
    46107 Potter 47105 Loudon 48105 Crockett    
    46109 Roberts 47107 McMinn 48107 Crosby    
    46111 Sanborn 47109 McNairy 48109 Culberson    
    46113 Shannon 47111 Macon 48111 Dallam    
    46115 Spink 47113 Madison 48113 Dallas    
    46117 Stanley 47115 Marion 48115 Dawson    
    46119 Sully 47117 Marshall 48117 Deaf Smith    
    46121 Todd 47119 Maury 48119 Delta    
    46123 Tripp 47121 Meigs 48121 Denton    
    46125 Turner 47123 Monroe 48123 De Witt    
    46127 Union 47125 Montgomery 48125 Dickens    
    46129 Walworth 47127 Moore 48127 Dimmit    
    46135 Yankton 47129 Morgan 48129 Donley    
    46137 Ziebach 47131 Obion 48131 Duval    
        47133 Overton 48133 Eastland    
        47135 Perry 48135 Ector    
        47137 Pickett 48137 Edwards    
        47139 Polk 48139 Ellis    
        47141 Putnam 48141 El Paso    
        47143 Rhea 48143 Erath    
        47145 Roane 48145 Falls    
        47147 Robertson 48147 Fannin    
        47149 Rutherford 48149 Fayette    
        47151 Scott 48151 Fisher    
        47153 Sequatchie 48153 Floyd    
        47155 Sevier 48155 Foard    
        47157 Shelby 48157 Fort Bend    
        47159 Smith 48159 Franklin    
        47161 Stewart 48161 Freestone    
        47163 Sullivan 48163 Frio    
        47165 Sumner 48165 Gaines    
        47167 Tipton 48167 Galveston    
        47169 Trousdale 48169 Garza    
        47171 Unicoi 48171 Gillespie    
        47173 Union 48173 Glasscock    
        47175 Van Buren 48175 Goliad    
        47177 Warren 48177 Gonzales    
        47179 Washington 48179 Gray    
        47181 Wayne 48181 Grayson    
        47183 Weakley 48183 Gregg    
        47185 White 48185 Grimes    
        47187 Williamson 48187 Guadalupe    
        47189 Wilson 48189 Hale    
            48191 Hall    
            48193 Hamilton    
            48195 Hansford    
            48197 Hardeman    
            48199 Hardin    
            48201 Harris    
            48203 Harrison    
            48205 Hartley    
            48207 Haskell    
            48209 Hays    
            48211 Hemphill    
            48213 Henderson    
            48215 Hidalgo    
            48217 Hill    
            48219 Hockley    
            48221 Hood    
            48223 Hopkins    
            48225 Houston    
            48227 Howard    
            48229 Hudspeth    
            48231 Hunt    
            48233 Hutchinson    
            48235 Irion    
            48237 Jack    
            48239 Jackson    
            48241 Jasper    
            48243 Jeff Davis    
            48245 Jefferson    
            48247 Jim Hogg    
            48249 Jim Wells    
            48251 Johnson    
            48253 Jones    
            48255 Karnes    
            48257 Kaufman    
            48259 Kendall    
            48261 Kenedy    
            48263 Kent    
            48265 Kerr    
            48267 Kimble    
            48269 King    
            48271 Kinney    
            48273 Kleberg    
            48275 Knox    
            48277 Lamar    
            48279 Lamb    
            48281 Lampasas    
            48283 La Salle    
            48285 Lavaca    
            48287 Lee    
            48289 Leon    
            48291 Liberty    
            48293 Limestone    
            48295 Lipscomb    
            48297 Live Oak    
            48299 Llano    
            48301 Loving    
            48303 Lubbock    
            48305 Lynn    
            48307 McCulloch    
            48309 McLennan    
            48311 McMullen    
            48313 Madison    
            48315 Marion    
            48317 Martin    
            48319 Mason    
            48321 Matagorda    
            48323 Maverick    
            48325 Medina    
            48327 Menard    
            48329 Midland    
            48331 Milam    
            48333 Mills    
            48335 Mitchell    
            48337 Montague    
            48339 Montgomery    
            48341 Moore    
            48343 Morris    
            48345 Motley    
            48347 Nacogdoches    
            48349 Navarro    
            48351 Newton    
            48353 Nolan    
            48355 Nueces    
            48357 Ochiltree    
            48359 Oldham    
            48361 Orange    
            48363 Palo Pinto    
            48365 Panola    
            48367 Parker    
            48369 Parmer    
            48371 Pecos    
            48373 Polk    
            48375 Potter    
            48377 Presidio    
            48379 Rains    
            48381 Randall    
            48383 Reagan    
            48385 Real    
            48387 Red River    
            48389 Reeves    
            48391 Refugio    
            48393 Roberts    
            48395 Robertson    
            48397 Rockwall    
            48399 Runnels    
            48401 Rusk    
            48403 Sabine    
            48405 San Augustine    
            48407 San Jacinto    
            48409 San Patricio    
            48411 San Saba    
            48413 Schleicher    
            48415 Scurry    
            48417 Shackelford    
            48419 Shelby    
            48421 Sherman    
            48423 Smith    
            48425 Somervell    
            48427 Starr    
            48429 Stephens    
            48431 Sterling    
            48433 Stonewall    
            48435 Sutton    
            48437 Swisher    
            48439 Tarrant    
            48441 Taylor    
            48443 Terrell    
            48445 Terry    
            48447 Throckmorton    
            48449 Titus    
            48451 Tom Green    
            48453 Travis    
            48455 Trinity    
            48457 Tyler    
            48459 Upshur    
            48461 Upton    
            48463 Uvalde    
            48465 Val Verde    
            48467 Van Zandt    
            48469 Victoria    
            48471 Walker    
            48473 Waller    
            48475 Ward    
            48477 Washington    
            48479 Webb    
            48481 Wharton    
            48483 Wheeler    
            48485 Wichita    
            48487 Wilbarger    
            48489 Willacy    
            48491 Williamson    
            48493 Wilson    
            48495 Winkler    
            48497 Wise    
            48499 Wood    
            48501 Yoakum    
            48503 Young    
            48505 Zapata    
            48507 Zavala    
Cont.
FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level FIPS Code County Level
50 Vermont 51 Virginia 53 Washington 54 West Virginia 55 Wisconsin
50001 Addison 51001 Accomack 53001 Adams 54001 Barbour 55001 Adams
50003 Bennington 51003 Albemarle 53003 Asotin 54003 Berkeley 55003 Ashland
50005 Caledonia 51005 Alleghany 53005 Benton 54005 Boone 55005 Barron
50007 Chittenden 51007 Amelia 53007 Chelan 54007 Braxton 55007 Bayfield
50009 Essex 51009 Amherst 53009 Clallam 54009 Brooke 55009 Brown
50011 Franklin 51011 Appomattox 53011 Clark 54011 Cabell 55011 Buffalo
50013 Grand Isle 51013 Arlington 53013 Columbia 54013 Calhoun 55013 Burnett
50015 Lamoille 51015 Augusta 53015 Cowlitz 54015 Clay 55015 Calumet
50017 Orange 51017 Bath 53017 Douglas 54017 Doddridge 55017 Chippewa
50019 Orleans 51019 Bedford 53019 Ferry 54019 Fayette 55019 Clark
50021 Rutland 51021 Bland 53021 Franklin 54021 Gilmer 55021 Columbia
50023 Washington 51023 Botetourt 53023 Garfield 54023 Grant 55023 Crawford
50025 Windham 51025 Brunswick 53025 Grant 54025 Greenbrier 55025 Dane
50027 Windsor 51027 Buchanan 53027 Grays Harbor 54027 Hampshire 55027 Dodge
    51029 Buckingham 53029 Island 54029 Hancock 55029 Door
    51031 Campbell 53031 Jefferson 54031 Hardy 55031 Douglas
    51033 Caroline 53033 King 54033 Harrison 55033 Dunn
    51035 Carroll 53035 Kitsap 54035 Jackson 55035 Eau Claire
    51036 Charles City 53037 Kittitas 54037 Jefferson 55037 Florence
    51037 Charlotte 53039 Klickitat 54039 Kanawha 55039 Fond du Lac
    51041 Chesterfield 53041 Lewis 54041 Lewis 55041 Forest
    51043 Clarke 53043 Lincoln 54043 Lincoln 55043 Grant
    51045 Craig 53045 Mason 54045 Logan 55045 Green
    51047 Culpeper 53047 Okanogan 54047 McDowell 55047 Green Lake
    51049 Cumberland 53049 Pacific 54049 Marion 55049 Iowa
    51051 Dickenson 53051 Pend Oreille 54051 Marshall 55051 Iron
    51053 Dinwiddie 53053 Pierce 54053 Mason 55053 Jackson
    51057 Essex 53055 San Juan 54055 Mercer 55055 Jefferson
    51059 Fairfax 53057 Skagit 54057 Mineral 55057 Juneau
    51061 Fauquier 53059 Skamania 54059 Mingo 55059 Kenosha
    51063 Floyd 53061 Snohomish 54061 Monongalia 55061 Kewaunee
    51065 Fluvanna 53063 Spokane 54063 Monroe 55063 La Crosse
    51067 Franklin 53065 Stevens 54065 Morgan 55065 Lafayette
    51069 Frederick 53067 Thurston 54067 Nicholas 55067 Langlade
    51071 Giles 53069 Wahkiakum 54069 Ohio 55069 Lincoln
    51073 Gloucester 53071 Walla Walla 54071 Pendleton 55071 Manitowoc
    51075 Goochland 53073 Whatcom 54073 Pleasants 55073 Marathon
    51077 Grayson 53075 Whitman 54075 Pocahontas 55075 Marinette
    51079 Greene 53077 Yakima 54077 Preston 55077 Marquette
    51081 Greensville     54079 Putnam 55078 Menominee
    51083 Halifax     54081 Raleigh 55079 Milwaukee
    51085 Hanover     54083 Randolph 55081 Monroe
    51087 Henrico     54085 Ritchie 55083 Oconto
    51089 Henry     54087 Roane 55085 Oneida
    51091 Highland     54089 Summers 55087 Outagamie
    51093 Isle Of Wight     54091 Taylor 55089 Ozaukee
    51095 James City     54093 Tucker 55091 Pepin
    51097 King and Queen     54095 Tyler 55093 Pierce
    51099 King George     54097 Upshur 55095 Polk
    51101 King William     54099 Wayne 55097 Portage
    51103 Lancaster     54101 Webster 55099 Price
    51105 Lee     54103 Wetzel 55101 Racine
    51107 Loudoun     54105 Wirt 55103 Richland
    51109 Louisa     54107 Wood 55105 Rock
    51111 Lunenburg     54109 Wyoming 55107 Rusk
    51113 Madison         55109 St Croix
    51115 Mathews         55111 Sauk
    51117 Mecklenburg         55113 Sawyer
    51119 Middlesex         55115 Shawano
    51121 Montgomery         55117 Sheboygan
    51125 Nelson         55119 Taylor
    51127 New Kent         55121 Trempealeau
    51131 Northampton         55123 Vernon
    51133 Northumberland         55125 Vilas
    51135 Nottoway         55127 Walworth
    51137 Orange         55129 Washburn
    51139 Page         55131 Washington
    51141 Patrick         55133 Waukesha
    51143 Pittsylvania         55135 Waupaca
    51145 Powhatan         55137 Waushara
    51147 Prince Edward         55139 Winnebago
    51149 Prince George         55141 Wood
    51153 Prince William            
    51155 Pulaski            
    51157 Rappahannock            
    51159 Richmond            
    51161 Roanoke            
    51163 Rockbridge            
    51165 Rockingham            
    51167 Russell            
    51169 Scott            
    51171 Shenandoah            
    51173 Smyth            
    51175 Southampton            
    51177 Spotsylvania            
    51179 Stafford            
    51181 Surry            
    51183 Sussex            
    51185 Tazewell            
    51187 Warren            
    51191 Washington            
    51193 Westmoreland            
    51195 Wise            
    51197 Wythe            
    51199 York            
    51510 Alexandria city            
    51515 Bedford city            
    51520 Bristol city            
    51530 Buena Vista city            
    51540 Charlottesville city            
    51550 Chesapeake city            
    51560 Clifton Forge city            
    51570 Colonial Heights city            
    51580 Covington city            
    51590 Danville city            
    51595 Emporia city            
    51600 Fairfax city            
    51610 Falls Church city            
    51620 Franklin city            
    51630 Fredericksburg city            
    51640 Galax city            
    51650 Hampton city            
    51660 Harrisonburg city            
    51670 Hopewell city            
    51678 Lexington city            
    51680 Lynchburg city            
    51683 Manassas city            
    51685 Manassas Park city            
    51690 Martinsville city            
    51700 Newport News city            
    51710 Norfolk city            
    51720 Norton city            
    51730 Petersburg city            
    51735 Poquoson city            
    51740 Portsmouth city            
    51750 Radford city            
    51760 Richmond city            
    51770 Roanoke city            
    51775 Salem city            
    51780 South Boston city            
    51790 Staunton city            
    51800 Suffolk city            
    51810 Virginia Beach city            
    51820 Waynesboro city            
    51830 Williamsburg city            
    51840 Winchester city            
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Bibliographic Description
ICPSR Study No.: 33523

Title: Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010

Principal Investigator(s): United States Department of Justice. Office of Justice Programs. Federal Bureau of Investigation

Series: Uniform Crime Reporting Program Data Series

Bibliographic Citation: United States Department of Justice. Office of Justice Programs. Federal Bureau of Investigation. Uniform Crime Reporting Program Data:
County-Level Detailed Arrest and Offense Data, 2010. ICPSR33523-v1.
Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-06-13. doi:10.3886/ICPSR33523.v1

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Scope of Study
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 counts of arrests for Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways).

Subject Term(s): aggravated assault, alcohol, arrests, arson, assault, auto theft, burglary, counties, crime rates, crime reporting, crime statistics, drug abuse, embezzlement, forgery, fraud, illegal gambling, larceny, law enforcement, murder, offenses, rape, robbery, sex offenses, Uniform Crime Reports, vagrancy, vandalism, weapons offenses

Smallest Geographic Unit: county

Geographic Coverage: United States

Time Period: 2010

Date(s) of Collection: 2010

Unit of Observation: county

Universe: County law enforcement agencies in the United States.

Data Type: aggregate data

Data Collection Notes: 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 three 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 its 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.

In the arrest files (Parts 1-3 and 5-7), data were estimated for agencies reporting zero months based on the procedures mentioned above. However, due to the structure of the data received from the Federal Bureau of Investigation (FBI), estimations could not be produced for agencies reporting zero months in the crimes reported files (Parts 4 and 8). Offense data for agencies reporting one or two months are estimated using the above procedures. Users are encouraged to refer to the codebook for more information.

No arrest data were provided for Florida. Limited arrest data were available for Illinois. Limited offense data were available for Alaska, Kentucky, Mississippi, Montana, and South Dakota.

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.

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Methodology
Mode of Data Collection: self-enumerated questionnaire

Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, 2010
Access and Availability
Note: A list of the data formats available for this study can be found in the summary of holdings. Detailed file-level information (such as record length, case count, and variable count) is listed in the file manifest.

Original ICPSR Release: 2012-06-12

Version History: The last update of this study occurred on 2012-06-13.

Dataset(s):
  • DS1: Arrests, All Ages
  • DS2: Arrests, Adult
  • DS3: Arrests, Juveniles
  • DS4: Crimes Reported
  • DS5: Allocated Statewide Data for Arrests, All Ages
  • DS6: Allocated Statewide Data for Arrests, Adults
  • DS7: Allocated Statewide Data for Arrests, Juveniles
  • DS8: Allocated Statewide Data for Crimes Reported