Reported crimes against persons and crimes against property based on National Incident Based Reporting System (NIBRS). Data reflects crime statistics reported to the Nevada Department of Public Safety on a monthly basis. Data is preliminary and subject to change without notice based on case updates.

The City of Henderson Police Department became NIBRS certified in 2020 before the January 1, 2021 deadline mandated by the FBI who compiles and publishes the Uniform Crime Report. The FBI requires all law enforcement agencies reporting crime statistics to utilize NIBRS standards and methodology instead of the previous Summary Reporting System (SRS) which was used by the City of Henderson from 1953 to 2020.

The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). In the late 1970s, the law enforcement community called for a thorough evaluative study of the UCR with the objective of recommending an expanded and enhanced UCR program to meet law enforcement needs into the 21st century. The FBI fully concurred with the need for an updated program to meet contemporary needs and provided its support, formulating a comprehensive redesign effort. Following a multiyear study, a "Blueprint for the Future of the Uniform Crime Reporting Program" was developed. Using the "Blueprint," and in consultation with local and state law enforcement executives, the FBI formulated new guidelines for the Uniform Crime Reports. The National Incident-Based Reporting System (NIBRS) was implemented to meet these guidelines. NIBRS data are archived at ICPSR as 13 separate data files per year, which may be merged by using linkage variables. The data focus on a variety of aspects of a crime incident. Part 4, Administrative Segment, offers data on the incident itself (date and time). Each crime incident is delineated by one administrative segment record. Also provided are Part 5, Offense Segment (offense type, location, weapon use, and bias motivation), Part 6, Property Segment (type of property loss, property description, property value, and drug type and quantity), Part 7, Victim Segment (age, sex, race, ethnicity, and injuries), Part 8, Offender Segment (age, sex, and race), and Part 9, Arrestee Segment (arrest date, age, sex, race, and weapon use). The Batch Header Segment (Parts 1-3) separates and identifies individual police agencies by Originating Agency Identifier (ORI). Batch Header information, which is contained on three records for each ORI, includes agency name, geographic location, and population of the area. Part 10, Group B Arrest Report Segment, includes arrestee data for Group B crimes. Window Segments files (Parts 11-13) pertain to incidents for which the complete Group A Incident Report was not submitted to the FBI. In general, a Window Segment record will be generated if the incident occurred prior to January 1 of the previous year or if the incident occurred prior to when the agency started NIBRS reporting. As with the UCR, participation in NIBRS is voluntary on the part of law enforcement agencies. The data are not a representative sample of crime in the United States.

The data within only represent 2019 and prior. As of January 2020, Mesa PD transitioned crime reporting to the FBI Unified Crime Reporting (UCR) Program from the Summary Reporting System (SRS) format to the new National Incident-Based Reporting System (NIBRS) format. For current crime statistics data based on NIBRS reporting standard please navigate to: https://citydata.mesaaz.gov/Police/Police-NIBRs-Crimes-Per-1000-Residents/ieqc-zzz4

The Uniform Crime Reporting (UCR) Program collects statistics on the number of offenses known to City of Mesa Police Department. In Part I, the UCR indexes reported incidents of crimes that are broken into two categories: violent and property crimes. Aggravated assault, forcible rape, murder, and robbery are classified as violent, while arson, burglary, larceny-theft, and motor vehicle theft are classified as property crimes. City of Mesa population 2011-2019 based on U.S. Census estimates; 2019-2025 based on Maricopa County Association of Governments (MAG) estimate

The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). NIBRS is an annual data collection that compiles information on criminal incidents and arrests reported by participating law enforcement agencies. NIBRS data as formatted by the FBI are stored as a series of single files organized by various segment levels (record types). There are six main segment levels: administrative, offense, property, victim, offender, and arrestee. Each segment level has a different length and layout. Significant computing resources are necessary to work with the data in its single-file format. In addition, the user must be knowledgeable about working with data in complex file types. The extract files version of the NIBRS files was created to simplify working with NIBRS data. Data management issues with NIBRS are significant, especially when two or more segment levels are being merged. For these reasons and the desire to facilitate the use of NIBRS data, ICPSR created the extract files. The data are not a nationally representative sample of crime in the United States.

The property crime rate indicator includes both the total number of property crime incidents per year in Champaign County, and the number of property crime incidents per 100,000 people per year in Champaign County. “Property crimes” are those counted in the following categories in the Illinois State Police’s annual Crime in Illinois report: Burglary, Theft (Larceny), Motor Vehicle Theft, and Arson. Like violent crime, property crime is also a major indicator of community safety.

The property crime data spans the same time period as the violent crime data: 1996 to 2021. The total number of offenses and rate per 100,000 population are both substantially lower as of 2021 than at the beginning of the study period in 1996. 2021 actually saw the lowest number of offenses and the lowest rate per 100,000 population in the study period. There are significantly more property crime offenses in Champaign County than violent crime incidents.

This data is sourced from the Illinois State Police’s annually released Crime in Illinois: Annual Uniform Crime Report, available on the Uniform Crime Report Index Offense Explorer.

Sources: Illinois State Police. (2021). Crime in Illinois: Annual Uniform Crime Report 2021. Illinois State Police. (2020). Crime in Illinois: Annual Uniform Crime Report 2020. Illinois State Police. (2019). Crime in Illinois: Annual Uniform Crime Report 2019. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017. Illinois State Police. (2016). Crime in Illinois: Annual Uniform Crime Report 2016. Illinois State Police. (2015). Crime in Illinois: Annual Uniform Crime Report 2015. Illinois State Police. (2014). Crime in Illinois: Annual Uniform Crime Report 2014.; Illinois State Police. (2012). Crime in Illinois: Annual Uniform Crime Report 2012.; Illinois State Police. (2011). Crime in Illinois: Annual Uniform Crime Report 2010-2011.; Illinois State Police. (2009). Crime in Illinois: Annual Uniform Crime Report 2009.; Illinois State Police. (2007). Crime in Illinois: Annual Uniform Crime Report 2007.; Illinois State Police. (2005). Crime in Illinois: Annual Uniform Crime Report 2005.; Illinois State Police. (2003). Crime in Illinois: Annual Uniform Crime Report 2003.; Illinois State Police. (2001). Crime in Illinois: Annual Uniform Crime Report 2001.; Illinois State Police. (1999). Crime in Illinois: Annual Uniform Crime Report 1999.; Illinois State Police. (1997). Crime in Illinois: Annual Uniform Crime Report 1997.

The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). The extract files version of NIBRS was created to simplify working with NIBRS data. Data management issues with NIBRS are significant, especially when two or more segment levels are being merged. These issues require skills separate from data analysis. NIBRS data as formatted by the FBI are stored in a single file. These data are organized by various segment levels (record types). There are six main segment levels: administrative, offense, property, victim, offender, and arrestee. Each segment level has a different length and layout. There are other segment levels that occur with less frequency than the six main levels. Significant computing resources are necessary to work with the data in its single-file format. In addition, the user must be sophisticated in working with data in complex file types. For these reasons and the desire to facilitate the use of NIBRS data, ICPSR created the extract files. The data are not a representative sample of crime in the United States.

Disclaimer: Crime Responses is provided by the Gainesville Police Department (GPD) to document initial details surrounding an incident to which GPD officers respond. This dataset contains crime incidents from 2011 to present and includes a reduced set of fields focused on capturing the type of incident as well when and where an incident occurred. The Incident location addresses have been rounded off and are not the exact location due to the constitutional amendment known as "Marsy's Law".

In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.

Crime in the United States, by Region, Geographic Division, and State, 2015–2016

The FBI collects these data through the Uniform Crime Reporting (UCR) Program.

FBI link

Important note about rape data

In 2013, the FBI UCR Program initiated the collection of rape data under a revised definition and removed the term “forcible” from the offense name. The UCR Program now defines rape as follows:

Rape (revised definition): Penetration, no matter how slight, of the vagina or anus with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim. (This includes the offenses of rape, sodomy, and sexual assault with an object as converted from data submitted via the National Incident-Based Reporting System [NIBRS].)

Rape (legacy definition): The carnal knowledge of a female forcibly and against her will.

General comments

• This table provides the estimated number of offenses and the rate (per 100,000 inhabitants) of crime in each region, geographic division, and state in 2015 and 2016, and the 2-year percent change in each.
• Violent crime includes the offenses of murder and nonnegligent manslaughter, rape (revised definition), robbery, and aggravated assault. Property crime includes the offenses of burglary, larceny-theft, and motor vehicle theft.
• The UCR Program does not have sufficient data to estimate for arson.

Caution against ranking

Any comparisons of crime among different locales should take into consideration relevant factors in addition to the area’s crime statistics. UCR Statistics: Their Proper Use provides more details concerning the proper use of UCR statistics.

Methodology

• The data used in creating this table were from all law enforcement agencies in the UCR Program (including those submitting less than 12 months of data).
• Crime statistics include estimated offense totals (except arson) for agencies submitting less than 12 months of offense reports for each year.
• The FBI derives state totals by estimating for nonreporting and partially reporting agencies within each state. The UCR Program aggregates a state total using the state’s individual agency estimates.

Offense estimation

These tables contain statistics for the entire United States. Because not all law enforcement agencies provide data for complete reporting periods, the FBI includes estimated crime numbers in these presentations. The FBI computes estimates for participating agencies not providing 12 months of complete data. For agencies supplying 3 to 11 months of data, the national UCR Program estimates for the missing data by following a standard estimation procedure using the data provided by the agency. If an agency has supplied less than 3 months of data, the FBI computes estimates by using the known crime figures of similar areas within a state and assigning the same proportion of crime volumes to nonreporting agencies. The estimation process considers the following: population size covered by the agency; type of jurisdiction, e.g., police department versus sheriff’s office; and geographic location.

In response to various circumstances, the FBI has estimated offense totals for some states. For example, problems at the state level (e.g., noncompliance with UCR guidelines, technological difficulties) have, at times, resulted in data that cannot be used for publication, and estimation was necessary. Also, efforts by an agency to convert to NIBRS have contributed to the need for unique estimation procedures.

A summary of state-specific and offense-specific estimation procedures is available in the “Estimation of state-level data” section of the Methodology.

Rape estimation

This table contains estimates based on both the legacy and revised definitions of rape. Agencies submit data based on only one of these definitions. Within each population group size, the proportion of female rape victims was calculated from all NIBRS reports of rape, sodomy, and sexual assault with an object. For agencies that reported using the revised definition, the actual number of reported rapes was decreased by the calculated proportion to arrive at an estimate for the number of rapes using the legacy definition. Conversely, for agencies that reported using the legacy definition, the actual nu...

This dataset was developed by Dillon Isaacson for use with the Esri Police Transparency Solution. This a redacted version of the RMS Charge dataset, which is an internal BPD dataset coming from the New World Law Enforcement Records Management System (LERMS) and consists of one count per charge per case/incident. A case/incident is the report that a crime took place, either reported via the public or witnessed by an officer. The Charge(s) in a case reflect what laws were broken in commission of a crime. This data is created as one point per charge. Locations of crimes have been moved to the nearest Ada County street centerline from where the incident occurred. Crimes of a sexual nature have had their locations and address information removed to protect the privacy of the victims. These records still have Patrol Area and Reporting District attributes, so the general locations and trends for these crimes can still be determined. This dataset is designed to reflect a rolling 5-6 year period. Crimes occurring in the last 9 days are withheld from the data because these data are preliminary and very likely to change. Therefore, the time range of the data will be from January 1st of the calendar year 5 years ago, up to 10 days before today’s date. For example, if you are viewing the data on September 10th, 2023, the range of data will be January 1st, 2018, to August 31st, 2023. On the first day of each year, the oldest year of records will be removed from this dataset, although it can still be requested via a Public Records Request.Field Descriptions:ChargeID - Unique identifier for charges in a case. Populated by New World Law Enforcement Records Management System (LERMS).DRNumber - Case Number, can have multiple charges per case.IncidentType - The type of incident that occurred for a caseCrimeCode - Alphanumeric code crime codeCrimeCodeDescription - OffenseCrimeCodeGroup - A grouping of crimes based on Offense codes, found starting on page 10 of the UCR Manual.CrimeType - Impact of crime, options include Person, Property, or Society Crimes.IncidentAddress - Address where incident occurred. Specific addresses have been replaced with block-level addresses or street intersections.City - City where Incident OccurredDistrict - BPD Reporting District where the crime occurred. Police reporting districts are the smallest division of territorial boundaries used by law enforcement to deploy manpower, organize officers below their senior commanders, and to track reported crimes, accidents, and calls for service. Reporting districts typically encompass a few square blocks.PatrolArea - BPD Patrol Areas where the crime occurred. Police areas are the second to largest division of territorial boundaries used by law enforcement to deploy manpower, organize officers below their senior commanders, and to track reported crimes, accidents, and calls for service.LocationScene - Type of location where incident occurred. Examples include Gym, Residence/Home, Hotel/Motel.ChargeGroup - Link created between Statute/Charge and NIBRS Crime CodesChargeSubGroup - Subgrouping for things like Domestic Assault or Commercial TheftChargeDescription - Descriptions of Charge Code that aligns with statute.ChargeCode - Statute Code of crime committed.Severity - Severity of crime committed such as Felony or Misdemeanor.OccurredDateTime - Datetime when the incident of the case occurred.Occurred_DW - Day of the Week from OccurredDateTimeOccurred_HR - Numeric Hour from OccurredDateTimeOccurred_MO - Numeric Month from OccurredDateTimeOccurred_DM - Numeric Day of Month from OccurredDateTimeOccurred_YR - Numeric Year from OccurredDateTime

In anticipation of the FBI transitioning to NIBRS by January 2021, the Raleigh Police Department was one of the first agencies in North Carolina to convert from the Uniform Crime Reporting (UCR) program Summary Reporting System (SRS) to the UCR - National Incident Based Reporting System (NIBRS) in June 2014.NIBRS now collects each offense, victim, offender, property, and arrestee information on 52 unique offenses and up to 10 offenses per incident. These new categories can be more defined and increasingly vary at the local level. As a result, these differences can make it difficult to compare statistics.For more information about NIBRS, go to FBI website: https://ucr.fbi.gov/nibrs-overviewUpdate Frequency: DailyTime Period: June 2014-Present

This dataset shows information about each traffic crash since 2011 on city streets within the City of Gainesville limits and under the jurisdiction of Gainesville Police Department (GPD). Data shown are more than 60 days from when accidents occurred due to Florida Statutes 316.066.

Disclaimer: In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.

In anticipation of the FBI transitioning to NIBRS by January 2021, the Raleigh Police Department was one of the first agencies in North Carolina to convert from the Uniform Crime Reporting (UCR) program Summary Reporting System (SRS) to the UCR - National Incident Based Reporting System (NIBRS) in June 2014.NIBRS now collects each offense, victim, offender, property, and arrestee information on 52 unique offenses and up to 10 offenses per incident. These new categories can be more defined and increasingly vary at the local level. As a result, these differences can make it difficult to compare statistics.For more information about NIBRS, go to FBI website: https://ucr.fbi.gov/nibrs-overviewUpdate Frequency: DailyTime Period: Previous Day

The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). The extract files version of NIBRS was created to simplify working with NIBRS data. Data management issues with NIBRS are significant, especially when two or more segment levels are being merged. These issues require skills separate from data analysis. NIBRS data as formatted by the FBI are stored in a single file. These data are organized by various segment levels (record types). There are six main segment levels: administrative, offense, property, victim, offender, and arrestee. Each segment level has a different length and layout. There are other segment levels that occur with less frequency than the six main levels. Significant computing resources are necessary to work with the data in its single-file format. In addition, the user must be sophisticated in working with data in complex file types. For these reasons and the desire to facilitate the use of NIBRS data, ICPSR created the extract files. The data are not a representative sample of crime in the United States.

The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). The extract files version of NIBRS was created to simplify working with NIBRS data. Data management issues with NIBRS are significant, especially when two or more segment levels are being merged. These issues require skills separate from data analysis. NIBRS data as formatted by the FBI are stored in a single file. These data are organized by various segment levels (record types). There are six main segment levels: administrative, offense, property, victim, offender, and arrestee. Each segment level has a different length and layout. There are other segment levels that occur with less frequency than the six main levels. Significant computing resources are necessary to work with the data in its single-file format. In addition, the user must be sophisticated in working with data in complex file types. For these reasons and the desire to facilitate the use of NIBRS data, ICPSR created the extract files. The data are not a representative sample of crime in the United States.

The purpose of this project was to conduct an evaluation of the impact on crime of the closing, renovation, and subsequent reopening of selected public housing developments under the United States Department of Housing and Urban Development's (HUD) Housing Opportunities for People Everywhere (HOPE VI) initiative. The study examined crime displacement and potential diffusion of benefits in and around five public housing developments that, since 2000, had been redeveloped using funds from HUD's HOPE VI initiative and other sources. In Milwaukee, Wisconsin, three sites were selected for inclusion in the study. However, due to substantial overlap between the various target sites and displacement zones, the research team ultimately decided to aggregate the three sites into a single target area. A comparison area was then chosen based on recommendations from the Housing Authority of the City of Milwaukee (HACM). In Washington, DC, two HOPE VI sites were selected for inclusion in the study. Based on recommendations from the District of Columbia Housing Authority (DCHA), the research team selected a comparison site for each of the two target areas. Displacement areas were then drawn as concentric rings ("buffers") around the target areas in both Milwaukee, Wisconsin and Washington, DC. Address-level incident data were collected for the city of Milwaukee from the Milwaukee Police Department for the period January 2002 through February 2010. Incident data included all "Group A" offenses as classified under National Incident Based Reporting System (NIBRS). The research team classified the offenses into personal and property offenses. The offenses were aggregated into monthly counts, yielding 98 months of data (Part 1: Milwaukee, Wisconsin Data). Address-level data were also collected for Washington, DC from the Metropolitan Police Department for the time period January 2000 through September 2009. Incident data included all Part I offenses as classified under the Uniform Crime Report (UCR) system. The data were classified by researchers into personal and property offenses and aggregated by month, yielding 117 months of data (Part 2: Washington, DC Data). Part 1 contains 15 variables, while Part 2 contains a total of 27 variables. Both datasets include variables on the number of personal offenses reported per month, the number of property offenses reported per month, and the total number of incidents reported per month for each target site, buffer zone area (1000 feet or 2000 feet), and comparison site. Month and year indicators are also included in each dataset.