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TwitterThis dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2017). For additional details, please see the attached data dictionary in the ‘About’ section.
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TwitterThe Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred.
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TwitterThis map shows the incidence of seven major felonies -- burglary, felony assault, grand larceny, grand larceny of a motor vehicle, murder, rape, and robbery -- in New York City over the past year. Data can be mapped in aggregate at the precinct level, as a heat map showing concentration of crimes, or as individual incident points.
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TwitterIn 2024, the City of New York experienced a total of ******* felonies. This was a large decrease from 2001 when ******* felonies were reported. These figures comprise the seven major categories of felonies that are listed by the New York Police Department (NYPD) for statistical analysis. They are murder and non-negligible manslaughter, rape, robbery, felony assault, burglary, grand larceny, and grand larceny of motor vehicle.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
With this dataset I hope to raise awareness on the trends in crime.
For NYPD Complaint Data, each row represents a crime. For information on the columns, please see the attached csv, "Crime_Column_Description". Reported crime go back 5 years but I only attached reported crime from 2014-2015 due to file size. The full report can be found at NYC Open Data (https://data.cityofnewyork.us/Public-Safety/NYPD-Complaint-Data-Historic/qgea-i56i)
I would like to thank NYC Open Data for the dataset.
Additional things I would like to better understand: 1. Differences in crime that exist between the 5 boroughs 2. A mapping of the crimes per borough 3. Where do the most dangerous crimes happen and what time?
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TwitterReported major felony crimes that have occurred within New York City parks
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TwitterStatistical breakdown by citywide, borough, and precinct.
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TwitterThere has been little research on United States homicide rates from a long-term perspective, primarily because there has been no consistent data series on a particular place preceding the Uniform Crime Reports (UCR), which began its first full year in 1931. To fill this research gap, this project created a data series on homicides per capita for New York City that spans two centuries. The goal was to create a site-specific, individual-based data series that could be used to examine major social shifts related to homicide, such as mass immigration, urban growth, war, demographic changes, and changes in laws. Data were also gathered on various other sites, particularly in England, to allow for comparisons on important issues, such as the post-World War II wave of violence. The basic approach to the data collection was to obtain the best possible estimate of annual counts and the most complete information on individual homicides. The annual count data (Parts 1 and 3) were derived from multiple sources, including the Federal Bureau of Investigation's Uniform Crime Reports and Supplementary Homicide Reports, as well as other official counts from the New York City Police Department and the City Inspector in the early 19th century. The data include a combined count of murder and manslaughter because charge bargaining often blurs this legal distinction. The individual-level data (Part 2) were drawn from coroners' indictments held by the New York City Municipal Archives, and from daily newspapers. Duplication was avoided by keeping a record for each victim. The estimation technique known as "capture-recapture" was used to estimate homicides not listed in either source. Part 1 variables include counts of New York City homicides, arrests, and convictions, as well as the homicide rate, race or ethnicity and gender of victims, type of weapon used, and source of data. Part 2 includes the date of the murder, the age, sex, and race of the offender and victim, and whether the case led to an arrest, trial, conviction, execution, or pardon. Part 3 contains annual homicide counts and rates for various comparison sites including Liverpool, London, Kent, Canada, Baltimore, Los Angeles, Seattle, and San Francisco.
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TwitterThe Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred.
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TwitterIn 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was compiled for use in our capstone project for the M.S. in Data Science at Drexel University. We collected our data through thousands of calls to the NYC OpenData platform. After collecting all the data, we dropped columns that we didn't think add value. Despite our best effort, due to time constraints, we weren't able to scrub all null values for the less frequently used attributes like any of the "computed_region" colunns. However, the dataset is in a usable form and ~95% cleaned.
While most of the data like "arrest_date" and "age_group" are straightforward, here is a key for some items that may be less obvious.
| Column | Description |
|---|---|
| pd_desc | Description of internal classification corresponding with PD code (more granular than Offense Description) |
| ofns_desc | Description of offense corresponding with key code |
| law_code | NY penal law code of offense. |
| law_cat_cd | Level of offense: felony, misdemeanor, violation |
| arrest_boro | The borough of NYC where the arrest took place |
| arrest_precinct | Police precinct that the arrest took place |
| jurisdiction_code | Jurisdiction responsible for incident. Either internal, like Police, Transit, and Housing; or external, like Correction, Port Authority, etc. |
| :@computed_region_f5dn_yrer | Community Districts |
| :@computed_region_yeji_bk3q | Borough Boundaries |
| :@computed_region_92fq_4b7q | City Council Districts |
| :@computed_region_sbqj_enih | Police Precincts |
Thanks to NYC Open Data for the data.
This project has been a collaboration between Ambrose Karella, Janam Patel, and Naimish Bizzu.
We thought this data was interesting because it allows for exploring crime in a geospatial way. While broad demographics are interesting, we can get more granular and answer questions like "where is a tourist least likely to be a victim in a crime?"
We look forward to seeing any work based on this dataset :)
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TwitterThe Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. ***** This filtered view contains all IMPACT counties and NYC counties. Operation IMPACT provides funding for crime analysis and increase patrols in high crime areas. Operation IMPACT provides extra funding to 17 Upstate counties and on Long Island which account for approximately 80% of reported crime outside the five boroughs. *****
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TwitterIn 2023, the City of New York experienced a total of ******* felonies committed. Of these, *** felonies were murder or non-negligent manslaughter, and ****** were grand larceny of a motor vehicle. The most commonly committed felony in New York City in 2023 was grand larceny, with ****** cases.
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TwitterThe Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred.
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TwitterThe Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Citywide crime statistics for the week of September 9-15, 2013
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TwitterIn 2023, the City of New York experienced a total of ***** rapes. This was a significant decrease from 2001 when ***** rapes were reported. These figures include all crimes as defined in the FBI Uniform Crime Reporting definition of rape.
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TwitterIn the calendar week 25 of 2025 (week ending June 22, 2025), the average ticket price of Broadway shows in New York declined by 0.2 percent compared to the same period of the previous year. As of that week, an average Broadway admission amounted to almost 130 U.S. dollars.
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TwitterThis data collection contains the results of a study created in response to New York State's 1973 revision of its criminal laws relating to drug use. The Association of the Bar of the City of New York and the Drug Abuse Council jointly organized a joint committee and a research project to collect data, in a systematic fashion, (1) to ascertain the repercussions of the drug law revision, (2) to analyze, to the degree possible, why the law was revised, and (3) to identify any general principles or specific lessons that could be derived from the New York experience that could be helpful to other states as they dealt with the problem of illegal drug use and related crime. This data collection contains five files from the study. Part 1 contains information gathered in a survey investigating the effects of the 1973 predicate felony provisions on crime committed by repeat offenders. Data include sex, age at first arrest, county and year of sampled felony conviction, subsequent arrests up to December 1976, time between arrests, time incarcerated between arrests, and number and type of short-span arrests and incarcerations. Part 2 contains data gathered in a survey meant to estimate the number and proportion of felony crimes attributable to narcotics users in Manhattan. Case records for male defendants, aged 16 and older, who were arraigned on at least one felony charge in Manhattan's Criminal Court, in 1972 and 1975, were sampled. Data include original and reduced charges and penal code numbers, and indicators of first, second, third, and fourth drug status. Part 3 contains data gathered in a survey designed to estimate the number and proportion of felony crimes attributable to narcotics users in Manhattan. Case records for male defendants, aged 16 and older, who were arraigned on at least one felony charge in Manhattan's Criminal Court or Manhattan's Supreme Court, were sampled from 1971 through 1975. Eighty percent of the sample was drawn from the Criminal Court while the remaining 20 percent was taken from the Supreme Court. Data include date of arraignment, age, number of charges, penal code numbers for first six charges, bail information (e.g., if it was set, amount, and date bail made), disposition and sentence, indications of first through fourth drug status, first through third drug of abuse, and treatment status of defendant. Part 4 contains data gathered in a survey that determined the extent of knowledge of the 1973 drug law among ex-drug users in drug treatment programs, and to discover any changes in their behavior in response to the new law. Interviews were administered to non-randomly selected volunteers from three modalities: residential drug-free, ambulatory methadone maintenance, and the detoxification unit of the New York City House of Detention for Men. Data include sources of knowledge of drug laws (e.g., from media, subway posters, police, friends, dealers, and treatment programs), average length of sentence for various drug convictions, maximum sentence for such crimes, the pre-1974 sentence for such crimes, type of plea bargaining done, and respondent's opinion of the effects of the new law on police activity, the street, conviction rates, and drug use. Part 5 contains data from a survey that estimated the number and proportion of felony crimes attributable to narcotics users in Manhattan. Detained males aged 16 and older in Manhattan pre-trial detention centers who faced at least one current felony charge were sampled. Data include date of admission and discharge, drug status and charges, penal code numbers for first through sixth charge, bail information, and drug status and treatment.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Crime statistics published by the NYPD for the week of September 2-8, 2013.
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TwitterThis dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2017). For additional details, please see the attached data dictionary in the ‘About’ section.