Queens Park, Central Bedfordshire full crime rankings and individual crime statistics updated monthly. See how safe Queens Park, Central Bedfordshire is as well as all recent crimes.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Queen Anne's County, MD was 362.00000 Known Incidents in January of 2019, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Queen Anne's County, MD reached a record high of 810.00000 in January of 2010 and a record low of 362.00000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Queen Anne's County, MD - last updated from the United States Federal Reserve on October of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in King and Queen County, VA was 30.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in King and Queen County, VA reached a record high of 79.00000 in January of 2010 and a record low of 30.00000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in King and Queen County, VA - last updated from the United States Federal Reserve on October of 2025.

Nunhead & Queen\'s Road, Southwark full crime rankings and individual crime statistics updated monthly. See how safe Nunhead & Queen\'s Road, Southwark is as well as all recent crimes.

V6 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. V5 release notes: Changes the word "larceny" to "theft" in column names - eg. from "act_larceny" to "act_theft."Fixes bug where state abbrebation was NA for Washington D.C., Puerto Rico, Guam, and the Canal Zone.Fixes bug where officers_killed_by_accident was not appearing in yearly data. Note that 1979 does not have any officers killed (by felony or accident) or officers assaulted data.Adds aggravated assault columns to the monthly data. Aggravated assault is the sum of all assaults other than simple assault (assaults using gun, knife, hand/feet, and other weapon). Note that summing all crime columns to get a total crime count will double count aggravated assault as it is already the sum of existing columns. Reorder columns to put all month descriptors (e.g. "jan_month_included", "jan_card_1_type") before any crime data.Due to extremely irregular data in the unfounded columns for New Orleans (ORI = LANPD00) for years 2014-2016, I have change all unfounded column data for New Orleans for these years to NA. As an example, New Orleans reported about 45,000 unfounded total burglaries in 2016 (the 3rd highest they ever reported). This is 18 times largest than the number of actual total burglaries they reported that year (2,561) and nearly 8 times larger than the next largest reported unfounded total burglaries in any agency or year. Prior to 2014 there were no more than 10 unfounded total burglaries reported in New Orleans in any year. There were 10 obvious data entry errors in officers killed by felony/accident that I changed to NA.In 1974 the agency "Boston" (ORI = MA01301) reported 23 officers killed by accident during November.In 1978 the agency "Pittsburgh" (ORI = PAPPD00) reported 576 officers killed by accident during March.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by accident during April.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by accident during June.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by felony during April.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by felony during June.In 1978 the agency "Queens Transit Authority" (ORI = NY04040) reported 56 officers killed by accident during May.In 1978 the agency "Queens Transit Authority" (ORI = NY04040) reported 56 officers killed by felony during May.In 1996 the agency "Ruston" in Louisiana (ORI = LA03102) reported 30 officers killed by felony during September.In 1997 the agency "Washington University" in Missouri (ORI = MO0950E) reported 26 officers killed by felony during March.V4 release notes: Merges data with LEAIC data to add FIPS codes, census codes, agency type variables, and ORI9 variable.Makes all column names lowercase.Change some variable namesMakes values in character columns lowercase.Adds months_reported variable to yearly data.Combines monthly and yearly files into a single zip file (per data type).V3 release notes: fixes a bug in Version 2 where 1993 data did not properly deal with missing values, leading to enormous counts of crime being reported. Summary: This is a collection of Offenses Known and Clearances By Arrest data from 1960 to 2016. Each zip file contains monthly and yearly data files. The monthly files contain one data file per year (57 total, 1960-2016) as well as a codebook for each year. These files have been read into R using the ASCII and setup files from ICPSR (or from the FBI for 2016 data) using the package asciiSetupReader. The end of the zip folder's name says what data type (R, SPSS, SAS, Microsoft Excel CSV, Stata) the data is in. The files are lightly cleaned. What this means specifically is that column names and value labels are standardized. In the original data column names were different between years (e.g. the December burglaries cleared column is "DEC_TOT_CLR_BRGLRY_TOT" in 1975 and "DEC_TOT_CLR_BURG_TOTAL" in 1977). The data here have standardized columns so you can compare between years and combine years together. The same thing is done for values inside of columns. For example, the state column gave state names in some years, abbreviations in others. For the code uses to clean and read the data, please see my GitHub file h

E00134406, Norfolk full crime rankings and individual crime statistics updated monthly. See how safe E00134406, Norfolk is as well as all recent crimes.

Queen\'s Gate, Kensington And Chelsea property and local residence statistical data. View in-depth data for Queen\'s Gate & surrounding areas.

South Norfolk 003, Breckland full crime rankings and individual crime statistics updated monthly. See how safe South Norfolk 003, Breckland is as well as all recent crimes.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study contains data from a project by the New York City Police Department (NYPD) involving GIS data on environmental risk factors that correlate with criminal behavior. The general goal of this project was to test whether risk terrain modeling (RTM) could accurately and effectively predict different crime types occurring across New York City. The ultimate aim was to build an enforcement prediction model to test strategies for effectiveness before deploying resources. Three separate phases were completed to assess the effectiveness and applicability of RTM to New York City and the NYPD. A total of four boroughs (Manhattan, Brooklyn, the Bronx, Queens), four patrol boroughs (Brooklyn North, Brooklyn South, Queens North, Queens South), and four precincts (24th, 44th, 73rd, 110th) were examined in 6-month time periods between 2014 and 2015. Across each time period, a total of three different crime types were analyzed: street robberies, felony assaults, and shootings. The study includes three shapefiles relating to New York City Boundaries, four shapefiles relating to criminal offenses, and 40 shapefiles relating to risk factors.

Norwich 003, South Norfolk full crime rankings and individual crime statistics updated monthly. See how safe Norwich 003, South Norfolk is as well as all recent crimes.

Queen\'s Park, Lewes property and local residence statistical data. View in-depth data for Queen\'s Park & surrounding areas.

Breckland 002, South Norfolk full crime rankings and individual crime statistics updated monthly. See how safe Breckland 002, South Norfolk is as well as all recent crimes.

NW10 5HA, Camden full crime rankings and individual crime statistics updated monthly. See how safe NW10 5HA, Camden is as well as all recent crimes.

NR17 1SH, Norfolk full crime rankings and individual crime statistics updated monthly. See how safe NR17 1SH, Norfolk is as well as all recent crimes.

Breckland 007, Breckland full crime rankings and individual crime statistics updated monthly. See how safe Breckland 007, Breckland is as well as all recent crimes.

Nunhead & Queen\'s Road, Southwark property and local residence statistical data. View in-depth data for Nunhead & Queen\'s Road & surrounding areas.

Boston 004, Breckland property and local residence statistical data. View in-depth data for Boston 004 & surrounding areas.

Bedford 013, Bedford property and local residence statistical data. View in-depth data for Bedford 013 & surrounding areas.

MK40 4DZ, Bedford property and local residence statistical data. View in-depth data for MK40 4DZ & surrounding areas.

MK40 4EP, Bedford property and local residence statistical data. View in-depth data for MK40 4EP & surrounding areas.