The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

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.

Description: The neighborhoods shown in this dataset are derived from a larger dataset drawn and maintained by the Data Desk, a team of Times reporters and Web developers in downtown L.A. The boundaries have expanded and shifted over time and now cover all of Los Angeles County broken down into 272 neighborhoods.This version of the LA Times boundaries only includes neighborhoods fully or partially within the City of Los Angeles. Neighborhoods that extend into other cities have been clipped to only show the portion(s) of the neighborhoods that are within the City of Los Angeles.Data Source: Los Angeles Times' Mapping LA project.Last Updated: October 7, 2016Refresh Rate: Never - Historical data (Note: should the LA Times update their Mapping LA project with new boundaries in the future, a new LA-specific layer will be added to the GeoHub as well.)

LA County Public Works traffic count data based on an intersection. LA County conducts over 1600 vehicular traffic volume counts per year. The data is a compilation of Average Daily Traffic (ADT) gathered largely from the unincorporated areas of LA County.

Los Angeles MIDI Dataset

  SOTA kilo-scale MIDI dataset for MIR and Music AI purposes










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  Los Angeles MIDI Dataset is now avaialable for… See the full description on the dataset page: https://huggingface.co/datasets/projectlosangeles/Los-Angeles-MIDI-Dataset.

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.

Official City Boundary for the City of Los Angeles created and maintained by the Bureau of Engineering / GIS Mapping Division. Updated as needed.

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.

This dataset is the primary transportation layer output from the CAMS application and database. This file is a street centerline network in development by Los Angeles County to move toward a public domain street centerline and addess file. This dataset can be used for two purposes:Geocoding addresses in LA County – this file currently geocodes > 99.5% of the addresses in our test files (5,000 out of 8 million addresses) using the County’s geocoding engines.This last statement is important – the County splits the street names and addresses differently than most geocoders. This means that you cannot just use this dataset with the standard ESRI geocoding (US Streets) engine.

© US Census Bureau, TIGER, LA County, RRCC

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.

About this dataset

Context

The dataset tabulates the Los Angeles population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Los Angeles. The dataset can be utilized to understand the population distribution of Los Angeles by age. For example, using this dataset, we can identify the largest age group in Los Angeles.

Key observations

The largest age group in Los Angeles, CA was for the group of age 30 to 34 years years with a population of 352,031 (9.12%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Los Angeles, CA was the 80 to 84 years years with a population of 60,276 (1.56%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Los Angeles is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Los Angeles total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Los Angeles Population by Age. You can refer the same here

Current data from 2023-24 school year. Dataset to be updated annually.Data sources:Public Schools (includes charter and Adult): CDE - https://www.cde.ca.gov/schooldirectory/report?rid=dl1&tp=txtPublic Schools enrollment and enhanced location: CDE - https://lacounty.maps.arcgis.com/home/item.html?id=61a4260e68b14a5ab91daf27d4415e7dPrivate Schools type and location: CDE - https://www.cde.ca.gov/schooldirectory/, query for private schoolsPrivate Schools enrollment and contact: CDE - https://www.cde.ca.gov/ds/si/ps/documents/privateschooldata2324.xlsxColleges and Universities: HIFLD - https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::colleges-and-universities/aboutPublic schools use location from the CDE AGOL Layer where available. This source assigns X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy, often geocoding to parcel.Field Descriptions:Category1: Always "Education"Category2: School Level Category3: School Type Organization: School District for primary and secondary schools; data maintainer otherwise Source: Source of data (see source links above) Source ID: CDS Code for primary and secondary schools; IPEDS ID for colleges and universities Source Date: Date listed in source Enrollment: School EnrollmentLabel Class: School classification for symbology (matches either Category2 or Category3)Last Update: Date last updated by LA County Enterprise GIS

Quantum Computing QA Dataset

Question-Answer dataset for los-angeles-fires-2025

  Usage

from datasets import load_dataset

dataset = load_dataset("darkB/los-angeles-fires-2025-qa-dataset")

  Example Data

Sample data point:

{ "text": "[INST] How often did hurricanes strike on the main transmission lines since they were built according to McCullough? [/INST] McCullough argues that despite having lasted for over eight decades,", "article_title": "January… See the full description on the dataset page: https://huggingface.co/datasets/darkB/los-angeles-fires-2025-qa-dataset.

About this dataset

Context

The dataset tabulates the Los Angeles County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Los Angeles County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Los Angeles County was 9.66 million, a 0.58% decrease year-by-year from 2022. Previously, in 2022, Los Angeles County population was 9.72 million, a decline of 0.91% compared to a population of 9.81 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Los Angeles County increased by 121,245. In this period, the peak population was 10.09 million in the year 2016. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Los Angeles County is shown in this column.
• Year on Year Change: This column displays the change in Los Angeles County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Los Angeles County Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Los Angeles by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Los Angeles. The dataset can be utilized to understand the population distribution of Los Angeles by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Los Angeles. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Los Angeles.

Key observations

Largest age group (population): Male # 30-34 years (180,770) | Female # 30-34 years (171,261). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Los Angeles population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Los Angeles is shown in the following column.
• Population (Female): The female population in the Los Angeles is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Los Angeles for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Los Angeles Population by Gender. You can refer the same here

FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

Detailed USDA plant hardiness zone data for Los Angeles, including ZIP codes, neighborhoods, and elevation-specific zone variations.

Content

All-City event calendar - ARCHIVED

For the new LA City Events dataset (refreshed daily), see https://data.lacity.org/A-Prosperous-City/LA-City-Events/rx9t-fp7k

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 daily.

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.

Cover photo by rawpixel on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

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.

Cross reference of dataset variables that have a denominator