AndreaBozzo/ceres-open-data-index huggingface dataset:
Countywide Building Outlines (2014)

** [Download as File Geodatabase] The Countywide building outline dataset contains building outlines (over 3,000,000) for all buildings in Los Angeles County, including building height, building area, and the parcel number (also known as building footprints). This data was captured from stereo imagery as part of the LARIAC2 Project (2008 acquisition) and was updated as part of the LARIAC4 (2014) imagery acquisition. There are a number of sources. All buildings were updated to include changes between 2008 and 2014. * City of Palmdale - building outlines from the LARIAC (2006) imagery derived from orthogonal imagery. * City of Pasadena - building outlines from earlier imagery, updated with LARIAC2 (2008) imagery in 2008 * City of Glendale - building outlines from earlier imagery, updated with LARIAC2 (2008) imagery in 2008 * City of Los Angeles - building outlines from LARIAC2 (2008), stereo generated, for all buildings > 64 square feet * The rest of the County - building outlines from LARIAC2 (2008), stereo generated, for all buildings > 400 square feet Most of the buildings in this dataset were generated using [stereo imagery]. This means that the person capturing the buildings actually saw them in 3-D, and therefore was able to more accurately capture the location of the roof line, since this method eliminated the impacts of building lean (where the height of the building impacts its apparent location). Basically this is the most accurate method for capturing building outlines. In many cases the location is more accurate than our aerial photography and parcel boundaries. This file contains a file geodatabase which has two feature classes: * LARIAC4_BUILDINGS_2014 – this is the current set of buildings as of 2014 * LARIAC2_BUILDINGS_DELETED_2014 – these are the buildings from LARIAC2 that have been modified or deleted. These can be for change analysis and detection.
Countywide Building Outlines (2017)

** [Download as File Geodatabase] The Countywide building outline dataset contains building outlines (over 3,000,000) for all buildings in Los Angeles County, including building height, and building area (also known as building footprints). This data was captured from stereo imagery as part of the LARIAC2 Project (2008 acquisition) and was updated as part of the LARIAC4 (2014) & LARIAC5 (2017) imagery acquisition. Most of the buildings in this dataset were generated using stereo imagery. This means that the person capturing the buildings actually saw them in 3-D, and therefore was able to more accurately capture the location of the roof line, since this method eliminated the impacts of building lean (where the height of the building impacts its apparent location). Basically this is the most accurate method for capturing building outlines. In many cases the location is more accurate than our aerial photography and parcel boundaries. This file contains a file geodatabase which has two feature classes: * LARIAC5_BUILDINGS_2017 – this is the current set of buildings as of 2017 * LARIAC4_BUILDINGS_DELETED_2017 – these are the buildings from LARIAC4 that have been modified or deleted. These can be for change analysis and detection.
2023 Buildings with DINS data

The purpose of this dataset is to show buildings impacted by the Eaton and Palisades Fires. DINS data from the Eaton and Palisades fires was joined to the 2023 LARIAC building outlines in order to provide more information and cartographic options for emergency response and recovery. Damage Inspection (DINS) database for documenting structures damaged and destroyed by wildland fire. This is the database for the 2025 Palisades Incident. Public service. Credits: CAL FIRE Damage Inspection Program DINS 2025 Palisades Public View
Registrar Recorder Board of Equalization (2021)

The Board of Equalization Districts layer contains polygon features representing the official California State Board of Equalization districts within Los Angeles County. The layer is based on the Los Angeles County Registrar-Recorder's Precinct Information File (PIF) and uses boundaries derived from the 2020 Census, as provided by the California Secretary of State in 2021. Where district boundaries follow physical or administrative features such as streets, water bodies, or city limits, these features are incorporated into the layer to ensure accurate alignment with other spatial datasets. This approach allows for a precise depiction of district extents and facilitates integration with other geographic data for analysis and mapping. This layer provides a comprehensive resource for geographic reference, mapping, and spatial analysis of Board of Equalization districts in Los Angeles County. It is intended for informational and operational purposes and should be cross-referenced with official sources for authoritative determinations. Last Updated: March 2022
Registrar Recorder School District Boundaries

School District Boundaries are defined by the Los Angeles County Board of Education. The RRCC offers wall maps for sale to the public through our website: [https://www.lavote.gov] or by visiting our office. Last updated December 2025. Contact Information: Los Angeles County Registrar-Recorder/County Clerk (RRCC) Geographic Information Systems Section FToma@rrcc.lacounty.gov
Registrar Recorder Precincts

Contains precincts from the Los Angeles County Registrar-Recorder’s Office. The Registrar/Recorder uses these precincts to run elections by grouping them into election precincts, so they capture the boundaries of all voting districts in the County, including, but not limited to: LA County Supervisorial Districts US Congressional Districts State Senate and Assembly Districts Schools Districts Water and Waste Districts Others Related Information: The Voting Precinct File is less useful without the two Excel files below: [Precinct Information File Attribute Columns] Last Updated: December 2025
Countywide Multi-Use Trails (Hosted - Public)

***THIS LAYER IS DEPRECIATED AND REPLACED BY [https://lacounty.maps.arcgis.com/home/item.html?id=402c7462b7374717a50cba18ca911949]*** This dataset was developed as a guide for the public to locate and recreate on authorized multi-use trails. Existing trails were either collecting on the ground using precise GPS equipment, or digitized using LARIAC aerial imagery. Other agencies' trails were reviewed and approved by each corresponding agency. This data is also represented in our department's trails app, OuterSpatial, as well as our trails website (www.trails.lacounty.gov) Proposed County trails that are planned to be managed by L.A. County Dept. of Parks and Recreation can be located [here].
Countywide Multi-Use Trails (Hosted - Public)

This dataset was developed as a guide for the public to locate and recreate on authorized multi-use trails. Existing trails were either collecting on the ground using precise GPS equipment, or digitized using LARIAC aerial imagery. Other agencies' trails were reviewed and approved by each corresponding agency. This data is also represented in our department's trails app, OuterSpatial, as well as our trails website (www.trails.lacounty.gov) Proposed County trails that are planned to be managed by L.A. County Dept. of Parks and Recreation can be located here.
Rivers and Mountains Conservancy Jurisdictional Boundary (RMC)

The Rivers and Mountains Conservancy boundaries layer defines a single polygon representing the San Gabriel and Lower Los Angeles Rivers and Mountains Conservancy (RMC) territory. The RMC’s mission is to preserve open space and habitat in order to provide low‑impact recreation and educational uses, restore and protect wildlife habitat and improve watersheds[rmc.ca.gov]. Its jurisdiction includes eastern Los Angeles County and western Orange County, encompassing the San Gabriel River watershed and its tributaries, the Lower Los Angeles River watershed and its tributaries, the Upper Santa Clara River and its tributaries, the Dominguez Channel watershed, the northern slope of the Angeles National Forest, the San Gabriel Mountains National Monument, the Puente Hills and the San Jose Hills. The hosted feature layer—part of the Conservancy Boundaries feature service—stores the RMC boundary in Web Mercator projection and includes fields such as Name, Description, Acres, SquareMiles, Shape__Area and Shape__Length. Editing metadata shows the last edit date was 21 February 2024, and the service itself was created on 15 February 2024 and updated on 21 February 2024. Although the layer contains fields for acreage and square mileage, the exact values are not shown in the service directory; users can query the layer or open it in ArcGIS to view these attributes. This dataset supports planning and grant administration for projects within the conservancy’s territory; it should not be used for legal boundary determinations. A short description of the Rivers and Mountains Conservancy boundary dataset: it contains a single polygon showing the RMC’s jurisdiction and includes attribute fields for acreage and square mileage. The conservancy’s mission is to preserve open space and habitat to provide low‑impact recreation and environmental benefits. The data was last updated on 21 February 2024 and is part of the statewide Conservancy Boundaries feature service. Additional information for the Rivers and Mountains Conservancy can be found here: rmc.ca.gov
Santa Monica Mountains Conservancy Jurisdictional Boundary (SMMC)

The Santa Monica Mountains Conservancy zone boundary dataset outlines the jurisdiction of the state conservancy in Southern California. According to the Conservancy, its mission is to strategically buy back, preserve, protect, restore and enhance treasured pieces of Southern California to form an interlinking system of urban, rural and river parks, open space, trails and wildlife habitats that are easily accessible to the public. This boundary dataset shows the area where that mission applies and provides a basis for planning and grant administration. The zone covers an area extending from the edge of the Mojave Desert to the Pacific Ocean. It encompasses the entire Santa Monica Mountains, the Simi Hills, the Verdugo Mountains and significant portions of the Santa Susana and San Gabriel Mountainsmrca.ca.gov. In addition, the Mountains Recreation and Conservation Authority manages thousands of acres in the Sierra Pelona Mountains and the Whittier‑Puente Hills, all of which drain into the Santa Clara River, Calleguas Creek, numerous smaller coastal watersheds in the Santa Monica Mountains, the Los Angeles River and the Rio Hondo. The boundary is stored as a single polygon feature in the “Conservancy Boundaries” hosted feature service. The layer, named “Santa Monica Mountains Conservancy Zone,” uses a Web Mercator projection and contains fields such as OID_, Name, FolderPath, SymbolID, and geometry measurement fields (Shape__Area and Shape__Length). The service notes that the data and schema were last edited on 21 February 2024. The layer has no attachments and should not be used for legal boundary determinations. It provides a current representation of the Conservancy’s jurisdiction for planning, grant administration, and public information purposes. Additional information for the Rivers and Mountains Conservancy can be found here: https://smmc.ca.gov/
Baldwin Hills Conservancy Jurisdictional Boundaries (BHC) / (BHUWC)

This feature layer delineates the current and historical jurisdictional boundaries of the Baldwin Hills and Urban Watersheds Conservancy. The Conservancy’s mission is to acquire open space and manage public lands within the Baldwin Hills, Ballona Creek and Upper Dominguez Channel watersheds to provide recreation, restoration and protection of wildlife habitat for public enjoyment and educationbhc.ca.gov. Its territory covers roughly 70.2 square miles across the southern Ballona Creek, Upper Dominguez and Upper Los Angeles River watersheds and includes parts of Los Angeles, Inglewood, Gardena, Hawthorne, El Segundo, Manhattan Beach, Culver City, Santa Monica and unincorporated communities such as Lennox, Del Aire, West Athens, Leimert Park, Windsor Hills, Ladera Heights, Mesa Heights and Baldwin Hillsbhc.ca.gov. The layer contains two records: one polygon represents the Conservancy’s expanded watershed boundary (about 45,516.9 acres) and the other represents the original Baldwin Hills Conservancy boundary (about 2,125.7 acres). Each feature includes attributes like an identifier, a description, acreage, the responsible agency and geometry measurements. The data uses a Web Mercator projection and was published on 13 April 2023, updated on 1 May 2023 and its metadata was last revised on 26 November 2025bhc.ca.gov. This layer supports planning and grant administration but should not be used for legal boundary determinations. Credits go to the Baldwin Hills and Urban Watersheds Conservancy and the County of Los Angeles for compiling and maintaining these boundaries, and additional information about the Conservancy can be found through the state’s official websitebhc.ca.gov. The Baldwin Hills Conservancy’s mission is to acquire open space and manage public lands within the Baldwin Hills area and to provide recreation, restoration and protection of wildlife habitat within the territory for the public’s enjoyment and educational experience. The Conservancy provides Local Assistance funding to public agencies and non-profits to restore and improve the territory pursuant to this mission. Funding for these grants comes from Prop 1, Prop 40, and Prop 84. Source: Baldwin Hills Conservancy, April 2023 Boundaries include: The Baldwin Hills and Urban Watersheds Conservancy Boundary The Baldwin Hills Historical Boundary Additoinal information for the Baldwin Hills Conservancy can be found here: [https://bhc.ca.gov/about-us/]
Housing with Potential Lead Risk

This indicator provides information about the percentage of housing stock at risk for containing lead for census tracts in Los Angeles County based on self-reported data. Using [methods implemented by New York University for the City Health Dashboard], housing units were categorized as follows: pre-1940, 1940-1959, 1960-1979, 1980-1999, and 2000-2023, with each category weighted according to the level of risk. Even though lead-based paint was banned in 1978, approximately 29 million housing units in the US still have lead paint hazards, including deteriorated paint and lead-contaminated dust. Studies show that the proportion of children with elevated blood lead levels declines with housing age, and housing age is widely considered the most established risk factor for lead poisoning. For more information about the Community Health Profiles Data Initiative, please see the [initiative homepage].
Disability Status (census tract)

For the original data source: [https://data.census.gov/table/ACSDP5Y2023.DP02]. Layer published for the [Equity Explorer], a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore disability status and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Disability status for census tracts in LA County from the US Census American Communities Survey (ACS), 2023. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact [egis@isd.lacounty.gov].
Los Angeles County Districts

This hosted feature layer represents the electoral district boundaries within Los Angeles County, derived from the precinct-to-district assignments maintained by the Los Angeles County Registrar-Recorder/County Clerk (RRCC). It provides a comprehensive spatial framework for mapping, analysis, and visualization of district-level information used in election operations, planning, and reporting. The layer serves as a foundational resource for GIS applications, dashboards, and operational tools that require accurate representation of district geography. Designed for use by GIS professionals, election operations staff, planners, and other stakeholders, this dataset enables users to analyze and visualize precinct-level data in relation to district boundaries. It can be integrated with other election-related datasets, such as vote centers, wait-time surveys, or demographic information, to support decision-making, resource allocation, and operational planning across the county. Please note that while this dataset reflects the most current precinct-based district assignments, it is intended for informational purposes only and does not represent legal district boundaries. Users requiring authoritative boundary data should consult the respective district’s official source or administrative office. Last Updated: June 2025
State Assembly Districts (2001)

The State Assembly Districts layer contains polygons for 2003 California State Assembly Districts. The source for the information in this layer is the Los Angeles Registrar/Recorder's Precinct Information File (PIF), which is designed to match the Thomas Brothers TRNL (road network) layer. Where boundaries are defined by streets, water, city boundaries, or other features, those arc segments are copied to the districts layer, so that the boundaries and other layer features match perfectly.
Measure_A_Public_Metrics

This data set is used in the production of the Measure A Progress Tracker Dashboard. It contains both metric totals (where demo_cat is total_pers) and demographic breakdowns (according to demographic categories in demo_cat). Each row represents a calculated metric result (value) for a given reporting period (reporting_period), demographic category (demo_cat), demographic group (group), and type (count or within-group percentage). Data is refreshed in accordance with updates to the Measure A Progress Tracker Dashboard. Data Dictionary metric_label Descriptive name of the Board-Approved Measure A metric. Corresponds with chart titles in the Measure A Progress Tracker dashboard reporting_period The fiscal reporting year for a metric. Fiscal years begin July 1^{st} and end June 30^{th} of the following year demo_cat The demographic category for demographic breakdowns (e.g., age, race, gender, veteran status). The value total_pers represents person-level totals group The specific demographic subgroup within the category in demo_cat. For example, if demo_cat is age, group represents groups defined by age range. type Indicates the type of measure for a given metric row. Both counts (“cnt”) and within-group percents (i.e., rates) (“percent”) are available. Percent measures are calculated using the applicable context metrics (i.e., denominators) provided in the data set except in the case of percent measures for the metric Service Participants Who Exited to Permanent Housing and Remained Housed (goal 3), where percent measures are calculated using the Service Participants Who Exited to Permanent Housing (goal) metric and represent group-specific retention rates value The numeric value of the metric
Restrictive Covenant Modification Initiative Statistics

This data set provides a status of the Los Angeles County Restrictive Covenant Modification (RCM) project per Assembly Bill 1466 (AB 1466). This effort aims to remove any discriminatory or restrictive covenant language from historical public records by way of redacting and re-recording. It is our goal to review all documents recorded from years 1850s to the present to identify and redact any discriminatory language. We started this project in June,2024 and will review all document types starting with the most recent documents that are already imaged and working backwards.
LA County Fictitious Business Name Data

Active Fictitious Business Name Statements filed with the Registrar-Recorder/County Clerk. This list only includes unexpired filings with the County (last 5 years), starting with February 16, 2024. ──────────────────────┬──────────── Dataset Columns │Dataset Type ──────────────────────┼──────────── Filing Number │varchar(50) ──────────────────────┼──────────── Filed Date │datetime ──────────────────────┼──────────── Filing Type │varchar(255) ──────────────────────┼──────────── Business Type │varchar(50) ──────────────────────┼──────────── Business Name │varchar(400) ──────────────────────┼──────────── Business Address │varchar(40) ──────────────────────┼──────────── Business Address Add. │varchar(40) ──────────────────────┼──────────── Business City │varchar(30) ──────────────────────┼──────────── Business State │varchar(2) ──────────────────────┼──────────── Business Zip Code │varchar(10) ──────────────────────┼──────────── Registered Owner Name │varchar(400) ──────────────────────┴────────────
LA County Public Works Infrastructure Projects

This dataset only contains the projects marked for display on the public internet. This dataset only contains the projects marked for display on the public internet. This is a subset of capital improvement, transportation, and water resources construction projects from LA County Public Works. Data is refreshed once a business day, Mon-Fri. Project types include Water Resources, Transportation, and Capital Improvement Project. Phases include In Development, In Construction, and Completed. Only the past 3 years of completed Water Resources and Transportation projects are shown. Integrating GIS feature classes with flat table data from other databases is a common goal. Previously, this was done using spatial views and DB links; however, the draw and query performance suffered. To work around performance bottlenecks, an ETL (extract-transform-load) process was chosen so that a single feature class is created. It means that the data is no longer live.
Transit Oriented District (TOD)

This layer represents the proposed Transit Oriented Districts (TODs), as depicted in [Figure 6.5] in the [General Plan 2035]. These are UNINCORPORATED urban and suburban areas with access to major transit and commercial corridors that have the most potential for infill development, and are well-suited for higher density housing and mixed uses. With the exception of the East Los Angeles 3rd Street Specific Plan, all TODs are 1/2 mile buffers around a major transit stop. NOTE: The TODs depicted in General Plan 2035 rescind the TODs adopted previously in 2004 / 2005. To view these earlier layers, please contact the County of Los Angeles Department of Regional Planning. UPDATED: 9/25/25 for a slight adjustment to the Aviation Station buffer to align with the actual station location. NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of [GIS Web Mapping Applications].
California Poverty Measure 2021 to 2023

The California Poverty Measure (CPM) is a joint research effort between Public Policy Institute of California (PPIC) and the Stanford Center on Poverty and Inequality that, unlike the official poverty measure, takes into account the cost of living and resources from social safety net programs. For more on the CPM, see Bohn et al., The California Poverty Measure (PPIC, 2013). For methodological changes that affect comparability with publications prior to 2023, see Kimberlin et al., Poverty in California: Technical Appendices (PPIC, 2023). The official poverty measure is produced by the US Census Bureau. Data downloaded on 9/3/2025 from [https://www.ppic.org/interactive/california-poverty-by-county-and-legislative-district/]
Fire Hazard Severity Zones

This layer is a composite of the Fire Hazard Severity Zones Local Responsibility Areas (LRA) and State Responsibility Areas (SRA). It is maintained for backward compatibility with existing map services. Please see the individual LRA and SRA layers for complete metadata: * [LACoFD Fire Hazard Severity Zones - LRA] * [LACoFD Fire Hazard Severity Zones - SRA]