This 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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***Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. ***
******Update 1/18/2024 - LAPD is facing issues with posting the Crime data, but we are taking immediate action to resolve the problem. We understand the importance of providing reliable and up-to-date information and are committed to delivering it.
As we work through the issues, we have temporarily reduced our updates from weekly to bi-weekly to ensure that we provide accurate information. Our team is actively working to identify and resolve these issues promptly.
We apologize for any inconvenience this may cause and appreciate your understanding. Rest assured, we are doing everything we can to fix the problem and get back to providing weekly updates as soon as possible. ******
This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
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Crimes & incidents within Sarpy County, NebraskaData current as of the last business day.
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This method returns total crime rates, crime rates by crime types, area ratings by total crime, and area ratings by crime type for small areas (Lower Layer Super Output Areas, or LSOAs) and Local Authority Districts (LADs). The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA or LAD.
All figures are annual (for the last 12 months).
The crime rates are calculated per 1,000 resident population derived from the census 2021.
The dataset is updated on a monthly basis, with a 3-month lag between the current date and the most recent data.
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This dataset contains the incidents of crime in the city of Los Angeles from the year 2020 to present. This data was collected and published by the LAPD and you can find this data source here at this link. Each row of data is one individual crime incident. This dataset also contains detailed information such as when and where the crime took place, and a description of the crime.
This dataset contains a code called the mocode. The mocode is activities associated with the suspect in commission of the crime. To figure out what each code means use this link, it is a pdf file with descriptions of each code used within the dataset.
The exact location of the crime has been rounded to 100 blocks to maintain privacy.
U.S. Government Workshttps://www.usa.gov/government-works
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The Seattle Police Department (SPD) replaced its Records Management System (RMS) in May 2019. To preserve data quality and continuity between systems (2008-Present), SPD relied on the National Incident-Based Reporting System (NIBRS). The standardization of crime classifications allows for comparison over time. For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs.
Additional groupings are used to analyze crime in SPD’s Crime Dashboard. Violent and property crime categories align with best practices. For additional inquiries, we encourage the use of the underline data to align with the corresponding query.
Disclaimer: Only finalized (UCR approved) reports are released. Those in draft, awaiting approval, or completed after the update, will not appear until the subsequent day(s). Data is updated once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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*This dataset is updated nightly. Crime data represents the initial information that is provided by individuals calling for police assistance. Please note that the dataset only contains the last 5 years. Remaining information is often amended for accuracy after an Officer arrives and investigates the reported incident. Most often, the changes are made to more accurately reflect the official legal definition of the crimes reported. An example of this is for someone to report that they have been "robbed," when their home was broken into while they were away. The official definition of "robbery" is to take something by force. An unoccupied home being broken into, is actually defined as a "burglary," or a "breaking and entering." While there are mechanisms in place to make each initial call as accurate as possible, some events require evaluation upon arrival. Caution should be used when making assumptions based solely on the data provided, as they may not represent the official crime reports.
Federal Bureau of Investigation, Department of Justice - Extraction of crime related data from the FBI's Uniform Crime Reporting (UCR) Program
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This method returns the crimes (total and by crime type) that occurred within a set radius in a selected month.
We advise enabling the counts_only
query argument if you don't need the exact locations of crimes.
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This method returns monthly crimes (total and by crime type) starting from December 2010. The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA.
Crime incidents from the Philadelphia Police Department. Part I crimes include violent offenses such as aggravated assault, rape, arson, among others. Part II crimes include simple assault, prostitution, gambling, fraud, and other non-violent offenses. Please note that this is a very large dataset. To see all incidents, download all datasets for all years. If you are comfortable with APIs, you can also use the API links to access this data. You can learn more about how to use the API at Carto’s SQL API site and in the Carto guide in the section on making calls to the API.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Parameter estimates and fit statistics for regression models predicting robbery crimes.
U.S. Government Workshttps://www.usa.gov/government-works
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This dataset contains a listing of crime incidents reported by the Atlanta Police Department (APD) since 2009. It is based on incident-level data compiled from files released publicly by the ATP at https://www.atlantapd.org/i-want-to/crime-data-downloads. The data include the date the incident was reported and the date the incident occurred, the type of crime (based on the Uniform Crime Reporting classification), the nearest address and the latitude and longitude of the incident.
Records from the Crimes - 2001 to Present dataset for the indicated year.
Please see the description section of the full dataset for further information about the data.
U.S. Government Workshttps://www.usa.gov/government-works
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The NCVS RESTful API is a web service that provides criminal victimization data obtained annually from a nationally representative sample of about 79,800 households and 143,210 persons interviewed each year. NCVS data describe the frequency, characteristi
The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit https://crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.
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This method returns historical annual crime rates (total and by crime type) for the years starting 2011. The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA, LAD or region.
The crime rates are calculated per 1,000 resident population derived from the census 2011 and 2021.
The dataset is updated annually.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This API is available at https://data.police.uk
It contains crimes at street-level; either within a 1 mile radius of a single point, or within a custom area.
The street-level crimes returned in the API are only an approximation of where the actual crimes occurred, they are not the exact locations. See the about page for more information about location anonymisation. https://data.police.uk/about/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Parameter estimates and fit statistics for regression models predicting burglary crimes.
This 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.