***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.

This dataset reflects incidents of crime in the City of Los Angeles from 2010 - 2019. 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.

Serious violent crimes consist of Part 1 offenses as defined by the U.S. Department of Justice’s Uniform Reporting Statistics. These include murders, nonnegligent homicides, rapes (legacy and revised), robberies, and aggravated assaults. LAPD data were used for City of Los Angeles, LASD data were used for unincorporated areas and cities that contract with LASD for law enforcement services, and CA Attorney General data were used for all other cities with local police departments. This indicator is based on location of residence. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Neighborhood violence and crime can have a harmful impact on all members of a community. Living in communities with high rates of violence and crime not only exposes residents to a greater personal risk of injury or death, but it can also render individuals more susceptible to many adverse health outcomes. People who are regularly exposed to violence and crime are more likely to suffer from chronic stress, depression, anxiety, and other mental health conditions. They are also less likely to be able to use their parks and neighborhoods for recreation and physical activity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This map shows a comparable measure of crime in the United States. The crime index compares the average local crime level to that of the United States as a whole. An index of 100 is average. A crime index of 120 indicates that crime in that area is 20 percent above the national average.The crime data is provided by Applied Geographic Solutions, Inc. (AGS). AGS created models using the FBI Uniform Crime Report databases as the primary data source and using an initial range of about 65 socio-economic characteristics taken from the 2000 Census and AGS’ current year estimates. The crimes included in the models include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. The total crime index incorporates all crimes and provides a useful measure of the relative “overall” crime rate in an area. However, these are unweighted indexes, meaning that a murder is weighted no more heavily than a purse snatching in the computations. The geography depicts states, counties, Census tracts and Census block groups. An urban/rural "mask" layer helps you identify crime patterns in rural and urban settings. The Census tracts and block groups help identify neighborhood-level variation in the crime data.------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

Obtained this dataset from https://catalog.data.gov/dataset/crime-data-from-2020-to-present

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. 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.

As of 2020, there were 28,882 violent crimes reported in Los Angeles by the Los Angeles Police Department. Within the provided time period, the highest number of robberies was reported in 2017, at 30,507.

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.

The dataset is part of the Los Angeles Crimes records, selecting values of two years (2018 and 2019). The original data was downloaded from the Open Data portal of the City of Los Angeles, on May 29, 2020. The dataset was dowloaded from: https://data.lacity.org/A-Safe-City/Crime-Data-from-2010-to-2019/63jg-8b9z

ABOUT

The Crime Incidents in Los Angeles (2020-2025) provides a detailed record of reported crimes in Los Angeles. It includes crucial information such as the date, time, location, crime type, victim demographics, and weapon usage. This dataset is valuable for law enforcement analysis, criminology research, and community awareness, helping to identify crime trends and improve public safety.

Key features of the dataset:

✅ Covers crime reports from 2020 to the present in Los Angeles.
✅ Includes crime types, locations, and victim details.
✅ Provides insights into weapon use, crime status, and affected areas.
✅ Useful for law enforcement, researchers, and policymakers.

This dataset serves as a critical resource for analyzing crime patterns, understanding high-risk areas, and aiding in crime prevention strategies.

FILE INFORMATION

The dataset consists of structured records of reported crimes in Los Angeles. Each entry contains detailed incident data, including crime classification, location, victim details, and the status of the case. The file format is CSV, making it easy to analyze using data science and machine learning tools.

COLUMNS DESCRIPTION

• DATE OCC – The date when the crime occurred.
• TIME OCC – The time when the crime occurred (in military format).
• AREA NAME – The geographical area within Los Angeles where the crime took place.
• Vict Age – The age of the victim.
• Vict Sex – The gender of the victim (M/F/X).
• Vict Descent – The ethnicity or descent of the victim.
• Premis Desc – The type of location where the crime occurred (e.g., street, residence, store).
• Weapon Desc – The weapon used in the crime, if applicable.
• Status Desc – The current status of the crime (e.g., investigation ongoing, suspect arrested).
• LOCATION – The reported location of the crime.
• LAT – Latitude of the crime location.
• LON – Longitude of the crime location.
• Crm Cd Desc – The type or category of the reported crime.

This dataset is a valuable tool for law enforcement agencies, data analysts, and researchers looking to study crime patterns, develop predictive models, and improve community safety initiatives.

About this Dataset

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. :Rows 632391

Category

Social Sciences

Keywords

crime in Los Angeles

Row Count

632390

Price

$150.00

The purpose of this data collection was to investigate the effects of crime rates, city characteristics, and police departments' financial resources on felony case attrition rates in 28 cities located in Los Angeles County, California. Demographic data for this collection were obtained from the 1983 COUNTY AND CITY DATA BOOK. Arrest data were collected directly from the 1980 and 1981 CALIFORNIA OFFENDER BASED TRANSACTION STATISTICS (OBTS) data files maintained by the California Bureau of Criminal Statistics. City demographic variables include total population, minority population, population aged 65 years or older, number of female-headed families, number of index crimes, number of families below the poverty level, city expenditures, and police expenditures. City arrest data include information on number of arrests disposed and number of males, females, blacks, and whites arrested. Also included are data on the number of cases released by police, denied by prosecutors, and acquitted, and data on the number of convicted cases given prison terms.

Effective March 7, 2024, the Los Angeles Police Department (LAPD) implemented a new Records Management System aligning with the FBI's National Incident-Based Reporting System (NIBRS) requirements. This switch, part of a nationwide mandate, enhances the granularity and specificity of crime data. You can learn more about NIBRS on the FBI's website here: https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs NIBRS is more comprehensive than the previous Summary Reporting System (SRS) used in the Uniform Crime Reporting (UCR) program. Unlike SRS, which grouped crimes into general categories, NIBRS collects detailed information for each incident, including multiple offenses, offenders, and victims when applicable. This detail-rich format may give the impression of increased crime levels due to its broader capture of criminal activity, but it actually provides a more accurate and nuanced view of crime in our community. This change sets a new baseline for crime reporting, reflecting incidents in the City of Los Angeles starting from March 7, 2024. With NIBRS, each criminal incident may reflect multiple offenses, resulting in more robust data than before. This may change the appearance of crime frequency, as multiple offenses per incident are reported individually.

The dataset titled "Crime Data from 2020 to Jan 2025" on the Los Angeles Open Data portal provides detailed information about reported crimes in the City of Los Angeles from January 2020 to the Jan 2025. This dataset is maintained by the Los Angeles Police Department (LAPD) and is part of the city's efforts to promote transparency and public access to crime-related information.

Comprehensive government data including news, events, and crime statistics for Los Angeles County

As of 2020, there were 13,773 burglaries reported in Los Angeles by the Los Angeles Police Department. Within the provided time period, the greatest number of burglaries in Los Angeles were in 2010, with 17,410 reported.

Part 1 crimes, as defined by the Federal Bureau of Investigation (FBI), are:

Criminal Homicide Forcible Rape Robbery Aggravated Assault Burglary Larceny Theft Grand Theft Auto Arson

Part 2 crimes, as defined by the Federal Bureau of Investigation (FBI), are:

Forgery Fraud And NSF Checks Sex Offenses Felonies Sex Offenses Misdemeanors Non-Aggravated Assaults Weapon Laws Offenses Against Family Narcotics Liquor Laws Drunk / Alcohol / Drugs Disorderly Conduct Vagrancy Gambling Drunk Driving Vehicle / Boat Vehicle / Boating Laws Vandalism Warrants Receiving Stolen Property Federal Offenses without Money Federal Offenses with Money Felonies Miscellaneous Misdemeanors Miscellaneous

Note About Date Fields:By default, the cloud database assumes all date fields are provided in UTC time zone. As a result, the system attempts to convert to the local time zone in your browser resulting in dates that appear differently than the source file. For example, a user viewing the data in PST will see times that are 8 hours behind. For an example of how dates are displayed, see the example below: Source & Download File Online Database Table Display (Example for PST User)

3/18/2023 8:07:00 AM PST 3/18/2023 8:07:00 AM UTC 3/18/2023 12:07:00 AM DATA DICTIONARY:

Field Name
Field Description


LURN_SAK
System assigned number for the case


Incident Date
Date the crime incident occurred


Incident Reported Date
Date the crime was reported to LASD


Category
Incident crime category


Stat Code
A three digit numerical coding system to identify the primary crime category for an incident


Stat Code Desc
The definition of the statistical code number


Address
The street number, street name, state and zip where the incident occurred


Street
The street number and street name where the incident occurred


City
The city where the incident occurred


Zip
The zip code of the location where the incident occurred


Incident ID
The URN #, or Uniform Report Number, is a unique # assigned to every criminal and noncriminal incident


Reporting District
A geographical area defined by LASD which is within a city or unincorporated area where the incident occurred


Sequential (per Station)
Each incident for each station is issued a unique sequence # within a given year


Gang Related
Indicates if the crime incident was gang related


Unit ID
ORI # is a number issued by the FBI for every law enforcement agency


Unit Name
Station Name


Longitude
Longitude (as plotted on the nearest half block street segment)


Latitude
Latitude (as plotted on the nearest half block street segment)


Part Category
Part I Crime or Part II Crime indicator

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the city of Los Angeles. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore Los Angeles's Data using Kaggle and all of the data sources available through the city of Los Angeles organization page!

• Update Frequency: This dataset is updated weekly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This dataset is distributed under the following licenses: Creative Commons 1.0 Universal (Public Domain Dedication)

This collection presents survey data from 12 cities in the United States regarding criminal victimization, perceptions of community safety, and satisfaction with local police. Participating cities included Chicago, IL, Kansas City, MO, Knoxville, TN, Los Angeles, CA, Madison, WI, New York, NY, San Diego, CA, Savannah, GA, Spokane, WA, Springfield, MA, Tucson, AZ, and Washington, DC. The survey used the current National Crime Victimization Survey (NCVS) questionnaire with a series of supplemental questions measuring the attitudes in each city. Respondents were asked about incidents that occurred within the past 12 months. Information on the following crimes was collected: violent crimes of rape, robbery, aggravated assault, and simple assault, personal crimes of theft, and household crimes of burglary, larceny, and motor vehicle theft. Part 1, Household-Level Data, covers the number of household respondents, their ages, type of housing, size of residence, number of telephone lines and numbers, and language spoken in the household. Part 2, Person-Level Data, includes information on respondents' sex, relationship to householder, age, marital status, education, race, time spent in the housing unit, personal crime and victimization experiences, perceptions of neighborhood crime, job and professional demographics, and experience and satisfaction with local police. Variables in Part 3, Incident-Level Data, concern the details of crimes in which the respondents were involved, and the police response to the crimes.

This evaluation was developed and implemented by the Los Angeles District Attorney's Office to examine the effectiveness of specialized prosecutorial activities in dealing with the local problem of rising gang violence, in particular the special gang prosecution unit Operation Hardcore. One part of the evaluation was a system performance analysis. The purposes of this system performance analysis were (1) to describe the problems of gang violence in Los Angeles and the ways that incidents of gang violence were handled by the Los Angeles criminal justice system, and (2) to document the activities of Operation Hardcore and its effect on the criminal justice system's handling of the cases prosecuted by that unit. Computer-generated listings from the Los Angeles District Attorney's Office of all individuals referred for prosecution by local police agencies were used to identify those individuals who were subsequently prosecuted by the District Attorney. Data from working files on all cases prosecuted, including copies of police, court, and criminal history records as well as information on case prosecution, were used to describe criminal justice handling. Information from several supplementary sources was also included, such as the automated Prosecutors Management Information System (PROMIS) maintained by the District Attorney's Office, and court records from the Superior Court of California in Los Angeles County, the local felony court.

There 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 that spans two centuries on homicides per capita for the city of Los Angeles. 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. 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. Data were derived from multiple sources, including Los Angeles court records, as well as annual reports of the coroner and daily newspapers. Part 1 (Annual Homicides and Related Data) variables include Los Angeles County annual counts of homicides, counts of female victims, method of killing such as drowning, suffocating, or strangling, and the homicide rate. Part 2 (Individual Homicide Data) variables include the date and place of the murder, the age, sex, race, and place of birth of the offender and victim, type of weapon used, and source of data.