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.

Comprehensive crime statistics for Los Angeles County including homicides, property crime, robbery, assault, and neighborhood-by-neighborhood breakdowns with five-year trend analysis.

This dataset contains official crime records reported in Los Angeles City from January 2020 to December 2023.

The data provides valuable information about reported crimes, including the date, area, crime details, victim information, premises, weapons used, and status.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

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Interesting Task Ideas:

1. Analyze the temporal patterns of crimes in different areas of Los Angeles City.
2. Identify the most common crimes.
3. Explore the correlation between victim age and crime types.
4. Investigate the crime rates in different areas of the city.
5. Examine the relationship between premises and specific crime codes.
6. Visualize the distribution of crimes on a map of Los Angeles City.
7. Analyze the relationship between crime status and occurrence location.
8. Use machine learning techniques to predict crime categories based on available features.

Comprehensive crime statistics for Los Angeles County's most dangerous neighborhoods including violent crime rates, property crime rates, gang activity, and annual victimization chances by neighborhood for 2024-2025.

As of 2020, there were ****** 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 ******.

***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.

In a world of increasing crime, many organizations are interested in examining incident details to learn from and prevent future crime. Our client, based in Los Angeles County, was interested in this exact thing. They asked us to examine the data to answer several questions; among them, what was the rate of increase or decrease in crime from 2020 to 2023, and which ethnicity or group of people were targeted the most.

Our data was collected from Kaggle.com at the following link:

https://www.kaggle.com/datasets/nathaniellybrand/los-angeles-crime-dataset-2020-present

It was cleaned, examined for further errors, and the analysis performed using RStudio. The results of this analysis are in the attached PDF entitled: "crime_data_analysis_report." Please feel free to review the results as well as follow along with the dataset on your own machine.

Daily crime data for Los Angeles by crime type. (CSV)

This dataset provides a detailed analysis of crime occurrences from January 1, 2020, to September 2, 2024. With crime rates fluctuating during and after the COVID-19 pandemic, this dataset aims to uncover significant trends, demographic insights, and temporal crime patterns. The data has been meticulously cleaned and prepared for accurate analysis, enabling users to explore the dynamics of crime over the past four years.

Dataset Features:

• Time Range: January 2020 – September 2024
• Location: Los Angelos
• Key Focus Areas:
• Yearly and monthly crime trends
• Geographic distribution of crime rates
• Temporal patterns: Day vs. night crime analysis
• Victim demographics: Gender, age, and ethnicity breakdowns
• Crime types: Understanding which crimes are more common during specific times of day

Data Preparation:

• The dataset was sourced from: https://catalog.data.gov/dataset/crime-data-from-2020-to-present
• Comprehensive cleaning was applied, including the removal of duplicates, null values, and the standardization of categorical entries to ensure consistency and accuracy in the data.

Potential Uses:

• Identifying temporal and spatial crime patterns
• Studying the impact of the COVID-19 pandemic on crime rates
• Analyzing demographic factors related to crime victimization
• Developing predictive models for future crime occurrences

Column Descriptors:

• incident_id: Unique identifier for each crime report
• date: Date of the reported crime
• time: Time when the crime occurred
• year: Year the crime took place
• location: The geographic area where the crime was reported
• crime_type: Category/type of crime (e.g., burglary, assault, theft)
• victim_gender: Gender of the victim (if reported)
• victim_age: Age of the victim (if reported)
• victim_ethnicity: Ethnic group of the victim (if reported)
• time_of_day: Categorization of crime occurrence (day or night)
• crime_severity: Indicator of the severity of the crime
• arrest_made: Whether an arrest was made in connection with the crime (Yes/No)
• outcome: Final outcome of the crime report (e.g., solved, pending, unsolved)

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.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15666745%2F92a4d2a363485867bda0dc4dd6699c13%2FDesign.png?generation=1723995740709789&alt=media" alt="">

Well, Now that you’ve bravely crossed the virtual crime scene tape, find more details below👇

Description:

This dataset provides a detailed account of crime incidents reported in the City of Los Angeles from 2020 to the present day. The data is compiled from the Los Angeles Police Department (LAPD) and includes various features like the type of crime, date and time of occurrence, location, and demographic information of victims. With over four years of data, this dataset is invaluable for researchers, data scientists, and analysts who are interested in studying crime trends, identifying patterns, and developing predictive models to enhance public safety.

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. The data is transcribed from original crime reports that are typed on paper, which may introduce some inaccuracies. Location fields with missing data are noted as (0°, 0°), and address fields are provided only to the nearest hundred block to maintain privacy. This data is as accurate as the data in the database.

Features:

As of 2020, there were ****** 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 ****** reported.

This data is transcribed from https://catalog.data.gov/dataset 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 blocks in order to maintain privacy. This data is as accurate as the data in the database.

Motivation

Los Angeles, California—The City of Angels. Known for its warm weather, palm trees, sprawling coastline, and Hollywood, it is also a place where crime can be a significant concern. This dataset provides an opportunity to analyze crime patterns in Los Angeles, helping to identify trends and potentially inform strategies to address and reduce crime rates.

Source

The dataset is sourced from DataCamp and is a modified version of the original data, which is publicly available from Los Angeles Open Data. This dataset includes detailed information on crime incidents reported in Los Angeles, covering various aspects of each incident such as the date, time, location, and details about the victims and the crimes committed.

Usage

This dataset can be used for various analytical purposes, including:

• Crime Pattern Analysis: Identifying trends in crime occurrences over different times of the day, days of the week, and months of the year.
• Demographic Analysis: Analyzing the age, sex, and descent of victims to understand which demographics are most affected by crime.
• Geographic Analysis: Examining crime rates in different areas of Los Angeles to determine which areas have higher crime frequencies and what types of crimes are most common in each area.
• Predictive Modeling: Building models to predict crime occurrences based on historical data.

For more details and to explore the visualizations, notebook, or dataset, visit the GitHub repository.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Los Angeles County, California, including incidents, statistics, demographics, and agency information.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Los Angeles County, CA was 21159.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Los Angeles County, CA reached a record high of 28300.00000 in January of 2007 and a record low of 20493.00000 in January of 2014. 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 Los Angeles County, CA - last updated from the United States Federal Reserve on November of 2025.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates).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.

As of 2020, there were ****** property crimes reported in Los Angeles, a steady decrease from 2017 when there were ******* property crimes reported.

This study was conducted in 1979 at the Social Science Research Institute, University of Southern California, and explores the relationship between neighborhood change and crime rates between the years 1950 and 1976. The data were aggregated by unique and consistently-defined spatial areas, referred to as dummy tracts or neighborhoods, within Los Angeles County. By combining United States Census data and administrative data from several state, county, and local agencies, the researchers were able to develop measures that tapped the changing structural and compositional aspects of each neighborhood and their interaction with the patterns of juvenile delinquency. Some of the variables included are annual income, home environment, number of crimes against persons, and number of property crimes.

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.