79 datasets found
  1. l

    LA Times Neighborhood Boundaries

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +5more
    Updated Oct 7, 2016
    + more versions
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    DataLA (2016). LA Times Neighborhood Boundaries [Dataset]. https://geohub.lacity.org/datasets/d6c55385a0e749519f238b77135eafac
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    Dataset updated
    Oct 7, 2016
    Dataset authored and provided by
    DataLA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    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.)

  2. l

    City of Los Angeles COVID-19 Cases Neighborhood Map Public View

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +4more
    Updated Dec 16, 2020
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    City of Los Angeles Hub (2020). City of Los Angeles COVID-19 Cases Neighborhood Map Public View [Dataset]. https://geohub.lacity.org/maps/899deb8c64704ab3ab3d5da4c93c6182
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    Dataset updated
    Dec 16, 2020
    Dataset authored and provided by
    City of Los Angeles Hub
    Area covered
    Description

    The Mayor’s Office utilizes the most recent data to inform decisions about COVID-19 response and policies. The Los Angeles COVID-19 Neighborhood Map visualizes the cases and deaths across 139 neighborhoods in the city. It includes the same data used by the office to spot changes in infection trends in the city, and identify areas where testing resources should be deployed.Data Source:Data are provided on a weekly basis by the LA County Department of Public Health and prepared by the LA Mayor's Office Innovation Team. The data included in this map are on a one-week lag. That means the data shown here are reporting statistics gathered from one week ago. This map will be updated weekly on Mondays. Click on the maps to zoom in, get more details, and see the legends.

  3. a

    Los Angeles County Median Income and Underground Utilities Grid

    • uscssi.hub.arcgis.com
    Updated Apr 18, 2021
    + more versions
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    Spatial Sciences Institute (2021). Los Angeles County Median Income and Underground Utilities Grid [Dataset]. https://uscssi.hub.arcgis.com/maps/6ba723c12ada4840a7a0e03998893290
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    Dataset updated
    Apr 18, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This website provides a limited number of Substructure Maps in “pdf” format via GIS polygons representing grids containing URL links. Across various areas of Los Angeles County, paper maps were created by Public Works (PW) and its predecessor Departments to show underground utilities such as cable TV, gas, oil, and telephone lines.

    Though most of these maps are no longer updated, they can be useful as a research resource. Every reasonable effort has been made to assure the accuracy of this data and the maps referenced. Some cities may provide substructure information for the areas not covered by these grids. Additional and more accurate substructure data and information may also be obtained through the utility companies. Before digging, it is strongly advised to contact the Underground Service Alert (DigAlert Express) at www.digalert.org/digexpress.html or by calling 811.

    Please note that California State Law Says, You Must Contact DigAlert!

    The County of Los Angeles makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the data provided herein or of any maps referenced. Los Angeles County Public Works recommends that all utility research be conducted under the supervision of a licensed civil engineer.

  4. l

    Los Angeles Index of Neighborhood Change

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +4more
    Updated Oct 13, 2016
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    DataLA (2016). Los Angeles Index of Neighborhood Change [Dataset]. https://geohub.lacity.org/datasets/57e9231c3bd34d44ae49b309b0cb440e
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    Dataset updated
    Oct 13, 2016
    Dataset authored and provided by
    DataLA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The Los Angeles Index of Neighborhood Change is a tool that allows users to explore the extent to which Los Angeles Zip Codes have undergone demographic change from 2000 to 2014. Created in 2015/2016, the data comes from 2000, 2005, 2013, and 2014. Please read details about each measure for exact years.Index scores are an aggregate of six demographic measures indicative of gentrification. The measures are standardized and combined using weights that reflect the proportion of each measure that is statistically significant.Measure 1: Percent change in low/high IRS filer ratio. For the purposes of this measure, High Income = >$75K Adjust Gross Income tax filer and Low Income = <$25k filers who also received an earned income tax credit. Years Compared for Measure 1: 2005 and 2013 | Source: IRS Income Tax Return DataMeasure 2: Change in percent of residents 25 years or older with Bachelor's Degrees or HigherMeasure 3: Change in percent of White, non-Hispanic/Latino residentsMeasure 4: Percent change in median household income (2000 income is adjusted to 2014 dollars)Measure 5: % Change in median gross rent (2000 rent is adjusted to 2013/2014 dollars)Measure 6: Percent change in average household size Year Compared for Measures 2-5: 2000 and 2014, Measure 6: 2013Sources: Decennial Census, 2000 | American Community Survey (5-Year Estimate, 2009-2013; 2010; 2014)Date Updated: December 13, 2016Refresh Rate: Never - Historical data

  5. a

    Planning Areas (LA County Planning)

    • maps-cadoc.opendata.arcgis.com
    • geohub.lacity.org
    • +4more
    Updated May 28, 2020
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    County of Los Angeles (2020). Planning Areas (LA County Planning) [Dataset]. https://maps-cadoc.opendata.arcgis.com/maps/lacounty::planning-areas-la-county-planning
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    Dataset updated
    May 28, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Countywide layer which divides the County of Los Angeles into 11 unique areas for planning purposes of the unincorporated areas. This layer is referred to as 'DRP Planning Areas.'The General Plan provides goals and policies to achieve countywide planning objectives for the unincorporated areas, and serves as the foundation for all community-based plans, such as area plans, community plans, and coastal land use plans. Area plans focus on land use and policy issues that are specific to the Planning Area. Community plans cover smaller geographic areas within the Planning Area, and address neighborhood and/or community-level policy issues. Coastal land use plans are components of local coastal programs, and regulate land use and establish policies to guide development in the coastal zone. Please refer to the Planning Areas Framework chapter in the General Plan here.LAST UPDATED: 4/9/25 for a slight boundary change related to the South Bay, Area Plan update (in the community of Del Aire). This update took effect on 4/10/25.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

  6. l

    Native Tree Restoration Priority Planting Areas

    • data.lacounty.gov
    • geohub.lacity.org
    • +1more
    Updated Dec 11, 2020
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    County of Los Angeles (2020). Native Tree Restoration Priority Planting Areas [Dataset]. https://data.lacounty.gov/datasets/native-tree-restoration-priority-planting-areas
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    Dataset updated
    Dec 11, 2020
    Dataset authored and provided by
    County of Los Angeles
    Description

    Los Angeles County Native Tree Restoration Mitigation and Priority Planting PlanLos Angeles County Contract (with RCDSMM) #SPF03-03These layers are for use in determining where to plant native trees in the Santa Monica Mountains National Recreation Area (SMMNRA) for restoration or mitigation purposes, given the fact that the climate is changing and many native trees may not continue to survive or reproduce in their current locations. Native trees are a limited yet key part of the SMMNRA landscape, providing habitat and linkages for many species as well as a diversity of ecosystem services. Project layers include: Study Area; Existing Locations for each species, derived from NPS 2007 Vegetation Mapping data or California Consortium of Herbaria data; and Suitable Habitat RCP 8.5 for each species (future climate projections of suitable habitat for each species). THE SUITABLE HABITAT RCP 8.5 LAYERS HAVE NOT BEEN FIELD-CHECKED; THEREFORE, THESE LAYERS SHOULD BE USED AS GUIDELINES FOR POTENTIAL PLANTING AREAS ONLY. Any potential planting locations should be visited in the field, and proper permitting should be secured. In addition, these layers, and the app, should be used in conjunction with the Los Angeles County Native Tree Priority Planting Plan, available at: https://www.rcdsmm.org/resources/reports-and-publications/Map Catalog – (download location)https://drive.google.com/drive/folders/1sjFlFG-HvUlQVaR0Xm0aqgV4Pc4rqxwS?usp=sharingData Download – (download location)https://drive.google.com/drive/folders/1vgyIpiQ52xZGJA86zbacJMqo055VyZ76?usp=sharingWeb App – (interactive application)CLICK HERE for an application to use in identifying priority planting areas.(https://nps.maps.arcgis.com/apps/webappviewer/index.html?id=552aa3e8797b41d7aab68e0eb20a9521)Project Contact Information:Rosi DagitResource Conservation District of the Santa Monica Mountains540 South Topanga BlvdTopanga, CA 90290818-597-8627rdagit@rcdsmm.org

  7. l

    2020 Census Blocks

    • data.lacounty.gov
    • geohub.lacity.org
    • +1more
    Updated Mar 22, 2021
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    County of Los Angeles (2021). 2020 Census Blocks [Dataset]. https://data.lacounty.gov/datasets/8a29319474fe44bb96152d0be8e778af
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    Dataset updated
    Mar 22, 2021
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Blocks are typically bounded by streets, roads or creeks. In cities, a census block may correspond to a city block, but in rural areas where there are fewer roads, blocks may be limited by other features. The Census Bureau established blocks covering the entire nation for the first time in 1990.There are less number of Census Blocks within Los Angeles County in 2020 Census TIGER/Line Shapefiles, compared in 2010.Updated:1. June 2023: This update includes 2022 November Santa Clarita City annexation and the addition of "Kinneloa Mesa" community (was a part of unincorporated East Pasadena). Added new data fields FIP_CURRENT to CITYCOMM_CURRENT to reflect new/updated city and communities. Updated city/community names and FIP codes of census blocks that are in 2022 November Santa Clarita City annexation and new Kinneloa Mesa community (look for FIP_Current, City_Current, Comm_Current field values)2. February 2023: Updated few Census Block CSA values based on Demographic Consultant inquiry/suggestions3. April 2022: Updated Census Block data attribute values based on Supervisorial District 2021, Service Planning Area 2022, Health District 2022 and ZIP Code Tabulation Area 2020Created: March 2021How This Data is Created? This census geographic file was downloaded from Census Bureau website: https://www2.census.gov/geo/tiger/TIGER2020PL/STATE/06_CALIFORNIA/06037/ on February 2021 and customized for LA County. New data fields are added in the census blocks 2020 data and populated with city/community names, LA County FIPS, 2021 Supervisorial Districts, 2020 Census Zip Code Tabulation Area (ZCTA) and some administrative boundary information such as 2022 Health Districts and 2022 Service Planning Areas (SPS) are also added. "Housing20" field value and "Pop20" field value is populated with PL 94-171 Redistricting Data Summary File: Decennial Census P.L. 94-171 Redistricting Data Summary Files. Similarly, "Feat_Type" field is added and populated with water, ocean and land values. Five new data fields (FIP_CURRENT to CITYCOMM_CURRENT) are added in June 2023 updates to accommodate 2022 Santa Clarita city annexation. City/community names and FIP codes of census blocks affected by 2022 November Santa Clarita City annexation are assigned based on the location of block centroids. In June 2023 update, total of 36 blocks assigned to the City of Santa Clarita that were in Unincorporated Valencia and Castaic. Note: This data includes 3 NM ocean (FEAT_TYPE field). However, user can use a definition query to remove those. Data Fields: 1. STATE (STATEFP20): State FIP, "06" for California, 2. COUNTY (COUNTYFP20): County FIP "037" for Los Angeles County, 3. CT20: (TRACTCE20): 6-digit census tract number, 4. BG20: 7-digit block group number, 5. CB20 (BLOCKCE20): 4-digit census block number, 6. CTCB20: Combination of CT20 and CB20, 7. FEAT_TYPE: Land use types such as water bodies, ocean (3 NM ocean) or land, 8. FIP20: Los Angeles County FIP code, 9. BGFIP20: Combination of BG20 and FIP20, 10. CITY: Incorporated city name, 11. COMM: Unincorporated area community name and LA City neighborhood, also known as "CSA", 12. CITYCOMM: City/Community name label, 13. ZCTA20: Parcel specific zip codes, 14. HD12: 2012 Health District number, 15. HD_NAME: Health District name, 16. SPA22: 2022 Service Planning Area number, 17. SPA_NAME: Service Planning Area name, 18. SUP21: 2021 Supervisorial District number, 19. SUP_LABEL: Supervisorial District label, 20. POP20: 2020 Population (PL 94-171 Redistricting Data Summary File - Total Population), 21. HOUSING20: 2020 housing (PL 94-171 Redistricting Data Summary File - Total Housing),22. FIP_CURRENT: Los Angeles County 2023 FIP code, as of June 2023,23. BG20FIP_CURRENT: Combination of BG20 and 2023 FIP, as of June 2023,24. CITY_CURRENT: 2023 Incorporated city name, as of June 2023,25. COMM_CURRENT: 2023 Unincorporated area community name and LA City neighborhood, also known as "CSA", as of June 2023,26. CITYCOMM_CURRENT: 2023 City/Community name label, as of June 2023.

  8. K

    Los Angeles County Fire Hazard Responsibility Areas

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
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    Los Angeles County, California (2018). Los Angeles County Fire Hazard Responsibility Areas [Dataset]. https://koordinates.com/layer/95939-los-angeles-county-fire-hazard-responsibility-areas/
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    mapinfo tab, geopackage / sqlite, dwg, pdf, shapefile, mapinfo mif, kml, csv, geodatabaseAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    Los Angeles County, California
    Area covered
    Description

    PRC 4201 - 4204 and Govt. Code 51175-89 direct the California Department of Forestry and Fire Protection (CAL FIRE) to map areas of significant fire hazards based on fuels, terrain, weather, and other relevant factors. These zones, referred to as Fire Hazard Severity Zones (FHSZ), define the application of various mitigation strategies to reduce risk associated with wildland fires. CAL FIRE is remapping Fire Hazard Severity Zones (FHSZ) for State Responsibility Areas (SRA) and Very High Fire Hazard Severity Zones (VHFHSZ) recommendations in Local Responsibility Areas (LRA) to provide updated map zones, based on new data, science, and technology. This specific dataset provides FHSZs within SRA lands only, and represents the proposed zones, subject to changes based on local hearings. A subsequent dataset release will provide the actual adopted zones. Maps of the proposed zones in SRA are available at: http://frap.cdf.ca.gov/projects/hazard/fhz.html More information about the project can be found at: http://frap.cdf.ca.gov/projects/hazard/hazard.html

    © CAL FIRE recoginzes the important contribution of various local government entities that contributed data, maps, and comments that were critical components of the FHSZ mapping process.

  9. l

    2022 Population and Poverty at Split Tract

    • data.lacounty.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated May 8, 2024
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    County of Los Angeles (2024). 2022 Population and Poverty at Split Tract [Dataset]. https://data.lacounty.gov/datasets/2022-population-and-poverty-at-split-tract
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    Dataset updated
    May 8, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Tabular data of population by age groups, race and gender, and the poverty by race is attached to the split tract geography to create this split tract with population and poverty data. Split tract data is the product of 2020 census tracts split by 2022 incorporated city boundaries and unincorporated community/countywide statistical areas (CSA) boundaries. The census tract boundaries have been altered and aligned where necessary with legal city boundaries and unincorporated areas, including shoreline/coastal areas. Census Tract:Every 10 years the Census Bureau counts the population of the United States as mandated by Constitution. The Census Bureau (https://www.census.gov/) released 2020 geographic boundaries data including census tracts for the analysis and mapping of demographic information across the United States. City Boundary:City Boundary data is the base map information for the County of Los Angeles. These City Boundaries are based on the Los Angeles County Seamless Cadastral Landbase. The Landbase is jointly maintained by the Los Angeles County Assessor and the Los Angeles County Department of Public Works (DPW). This layer represents current city boundaries within Los Angeles County. The DPW provides the most current shapefiles representing city boundaries and city annexations. True, legal boundaries are only determined on the ground by surveyors licensed in the State of California.Countywide Statistical Areas (CSA): The countywide Statistical Area (CSA) was defined to provide a common geographic boundary for reporting departmental statistics for unincorporated areas and incorporated Los Angeles city to the Board of Supervisors. The CSA boundary and CSA names are established by the CIO and the LA County Enterprise GIS group worked with the Los Angeles County Board of Supervisors Unincorporated Area and Field Deputies that reflect as best as possible the general name preferences of residents and historical names of areas. This data is primarily focused on broad statistics and reporting, not mapping of communities. This data is not designed to perfectly represent communities, nor jurisdictional boundaries such as Angeles National Forest. CSA represent board approved geographies comprised of Census block groups split by cities.Data Field:CT20: 2020 Census tractFIP22: 2022 City FIP CodeCITY: City name for incorporated cities and “Unincorporated” for unincorporated areas (as of July 1, 2022) CSA: Countywide Statistical Area (CSA) - Unincorporated area community names and LA City neighborhood names.CT20FIP22CSA: 2020 census tract with 2022 city FIPs for incorporated cities and unincorporated areas and LA neighborhoods. SPA22: 2022 Service Planning Area (SPA) number.SPA_NAME: Service Planning Area name.HD22: 2022 Health District (HD) number: HD_NAME: Health District name.POP22_AGE_0_4: 2022 population 0 to 4 years oldPOP22_AGE_5_9: 2022 population 5 to 9 years old POP22_AGE_10_14: 2022 population 10 to 14 years old POP22_AGE_15_17: 2022 population 15 to 17 years old POP22_AGE_18_19: 2022 population 18 to 19 years old POP22_AGE_20_44: 2022 population 20 to 24 years old POP22_AGE_25_29: 2022 population 25 to 29 years old POP22_AGE_30_34: 2022 population 30 to 34 years old POP22_AGE_35_44: 2022 population 35 to 44 years old POP22_AGE_45_54: 2022 population 45 to 54 years old POP22_AGE_55_64: 2022 population 55 to 64 years old POP22_AGE_65_74: 2022 population 65 to 74 years old POP22_AGE_75_84: 2022 population 75 to 84 years old POP22_AGE_85_100: 2022 population 85 years and older POP22_WHITE: 2022 Non-Hispanic White POP22_BLACK: 2022 Non-Hispanic African AmericanPOP22_AIAN: 2022 Non-Hispanic American Indian or Alaska NativePOP22_ASIAN: 2022 Non-Hispanic Asian POP22_HNPI: 2022 Non-Hispanic Hawaiian Native or Pacific IslanderPOP22_HISPANIC: 2022 HispanicPOP22_MALE: 2022 Male POP22_FEMALE: 2022 Female POV22_WHITE: 2022 Non-Hispanic White below 100% Federal Poverty Level POV22_BLACK: 2022 Non-Hispanic African American below 100% Federal Poverty Level POV22_AIAN: 2022 Non-Hispanic American Indian or Alaska Native below 100% Federal Poverty Level POV22_ASIAN: 2022 Non-Hispanic Asian below 100% Federal Poverty Level POV22_HNPI: 2022 Non-Hispanic Hawaiian Native or Pacific Islander below 100% Federal Poverty Level POV22_HISPANIC: 2022 Hispanic below 100% Federal Poverty Level POV22_TOTAL: 2022 Total population below 100% Federal Poverty Level POP22_TOTAL: 2022 Total PopulationAREA_SQMil: Area in square mile.POP22_DENSITY: Population per square mile.POV22_PERCENT: Poverty rate/percentage.How this data created?The tabular data of population by age groups, by ethnic groups and by gender, and the poverty by ethnic groups is attributed to the split tract geography to create this data. Split tract polygon data is created by intersecting 2020 census tract polygons, LA Country City Boundary polygons and Countywide Statistical Areas (CSA) polygon data. The resulting polygon boundary aligned and matched with the legal city boundary whenever possible. Note:1. Population and poverty data estimated as of July 1, 2022. 2. 2010 Census tract and 2020 census tracts are not the same. Similarly, city and community boundary are not the same because boundary is reviewed and updated annually.

  10. a

    LUP - Area Community Plans

    • hub.arcgis.com
    • data.lacounty.gov
    • +2more
    Updated Dec 24, 2019
    + more versions
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    County of Los Angeles (2019). LUP - Area Community Plans [Dataset]. https://hub.arcgis.com/content/23de639fd57940f4986d6de206f8ec07
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    Dataset updated
    Dec 24, 2019
    Dataset authored and provided by
    County of Los Angeles
    Description

    Land Use Policy as created by the various Area / Community / Coastal / Neighborhood Plans in the UNINCORPORATED County. For more information about the various plans, please click here. This is the Grouped Layer File (.lyr) that can be used in ArcGIS to symbolize all the colors of the various plans within this layer. Please note that this does not have the GIS data attached to it. If you want the actual GIS data layer, please be sure to download that from our Hub here. Once you download the .lyr file, it will show broken links, so you will need to map it to where you download the Area / Community Plan LUP dataset. Please see these instructions for ArcMap for an easy way to 'repair broken links.'LAST UPDATED: 03/10/23 - updated the Florence-Firestone TOD Specific Plan.

  11. a

    2023 Population and Poverty by Split Tract

    • egis-lacounty.hub.arcgis.com
    • geohub.lacity.org
    Updated May 31, 2024
    + more versions
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    County of Los Angeles (2024). 2023 Population and Poverty by Split Tract [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/2023-population-and-poverty-by-split-tract
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    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Population by age groups, race and gender, and the poverty by race is attached to the split tract geography to create this split tract with population and poverty data. Split tract data is the product of 2020 census tracts split by 2023 incorporated city boundaries and unincorporated community/countywide statistical areas (CSA) boundaries as of July 1, 2023. The census tract boundaries have been altered and aligned where necessary with legal city boundaries and unincorporated areas, including shoreline/coastal areas. Census Tract:Every 10 years the Census Bureau counts the population of the United States as mandated by Constitution. The Census Bureau (https://www.census.gov/)released 2020 geographic boundaries data including census tracts for the analysis and mapping of demographic information across the United States. City Boundary:City Boundary data is the base map information for the County of Los Angeles. These City Boundaries are based on the Los Angeles County Seamless Cadastral Landbase. The Landbase is jointly maintained by the Los Angeles County Assessor and the Los Angeles County Department of Public Works (DPW). This layer represents current city boundaries within Los Angeles County. The DPW provides the most current shapefiles representing city boundaries and city annexations. True, legal boundaries are only determined on the ground by surveyors licensed in the State of California.Countywide Statistical Areas (CSA): The countywide Statistical Area (CSA) was defined to provide a common geographic boundary for reporting departmental statistics for unincorporated areas and incorporated Los Angeles city to the Board of Supervisors. The CSA boundary and CSA names are established by the CIO and the LA County Enterprise GIS group worked with the Los Angeles County Board of Supervisors Unincorporated Area and Field Deputies that reflect as best as possible the general name preferences of residents and historical names of areas. This data is primarily focused on broad statistics and reporting, not mapping of communities. This data is not designed to perfectly represent communities, nor jurisdictional boundaries such as Angeles National Forest. CSA represent board approved geographies comprised of Census block groups split by cities.Data Fields:CT20: 2020 Census tractFIP22: 2023 City FIP CodeCITY: City name for incorporated cities and “Unincorporated” for unincorporated areas (as of July 1, 2023) CSA: Countywide Statistical Area (CSA) - Unincorporated area community names and LA City neighborhood names.CT20FIP23CSA: 2020 census tract with 2023 city FIPs for incorporated cities and unincorporated areas and LA neighborhoods. SPA22: 2022 Service Planning Area (SPA) number.SPA_NAME: Service Planning Area name.HD22: 2022 Health District (HD) number: HD_NAME: Health District name.POP23_AGE_0_4: 2023 population 0 to 4 years oldPOP23_AGE_5_9: 2023 population 5 to 9 years old POP23_AGE_10_14: 2023 population 10 to 14 years old POP23_AGE_15_17: 2022 population 15 to 17 years old POP23_AGE_18_19: 2023 population 18 to 19 years old POP23_AGE_20_44: 2023 population 20 to 24 years old POP23_AGE_25_29: 2023 population 25 to 29 years old POP23_AGE_30_34: 2023 population 30 to 34 years old POP23_AGE_35_44: 2023 population 35 to 44 years old POP23_AGE_45_54: 2023 population 45 to 54 years old POP23_AGE_55_64: 2023 population 55 to 64 years old POP23_AGE_65_74: 2023 population 65 to 74 years old POP23_AGE_75_84: 2023 population 75 to 84 years old POP23_AGE_85_100: 2023 population 85 years and older POP23_WHITE: 2023 Non-Hispanic White POP23_BLACK: 2023 Non-Hispanic African AmericanPOP23_AIAN: 2023 Non-Hispanic American Indian or Alaska NativePOP23_ASIAN: 2023 Non-Hispanic Asian POP23_HNPI: 2023 Non-Hispanic Hawaiian Native or Pacific IslanderPOP23_HISPANIC: 2023 HispanicPOP23_MALE: 2023 Male POP23_FEMALE: 2023 Female POV23_WHITE: 2023 Non-Hispanic White below 100% Federal Poverty Level POV23_BLACK: 2023 Non-Hispanic African American below 100% Federal Poverty Level POV23_AIAN: 2023 Non-Hispanic American Indian or Alaska Native below 100% Federal Poverty Level POV23_ASIAN: 2023 Non-Hispanic Asian below 100% Federal Poverty Level POV23_HNPI: 2023 Non-Hispanic Hawaiian Native or Pacific Islander below 100% Federal Poverty Level POV23_HISPANIC: 2023 Hispanic below 100% Federal Poverty Level POV23_TOTAL: 2023 Total population below 100% Federal Poverty Level POP23_TOTAL: 2023 Total PopulationAREA_SQMil: Area in square mile.POP23_DENSITY: 2023 Population per square mile.POV23_PERCENT: 2023 Poverty rate/percentage.How this data created?Population by age groups, ethnic groups and gender, and the poverty by ethnic groups is attributed to the split tract geography to create this data. Split tract polygon data is created by intersecting 2020 census tract polygons, LA Country City Boundary polygons and Countywide Statistical Areas (CSA) polygon data. The resulting polygon boundary aligned and matched with the legal city boundary whenever possible. Notes:1. Population and poverty data estimated as of July 1, 2023. 2. 2010 Census tract and 2020 census tracts are not the same. Similarly, city and community boundaries are as of July 1, 2023.

  12. o

    Canopy Height Map of Los Angeles County Native Habitat Areas

    • explore.openaire.eu
    • zenodo.org
    Updated Dec 12, 2023
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    Max Yasuda; Amanda Zellmer (2023). Canopy Height Map of Los Angeles County Native Habitat Areas [Dataset]. http://doi.org/10.5281/zenodo.10215559
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    Dataset updated
    Dec 12, 2023
    Authors
    Max Yasuda; Amanda Zellmer
    Area covered
    Los Angeles County
    Description

    Using LARIAC4 (2016) LIDAR imagery this Canopy Height Model was derived using the lidR, terra and sf packages in R at a resolution of 1 meter. Native habitat areas were selected based on occurence of native flora taxa from iNaturalist in each LARIAC tile. Tiles with no or very few native plants were not included. Additionally, LA County north of the Santa Clara river and San Gabriel mountains was not included, please contact me if you need additional areas. Non-organic features such as power lines, houses, and some high altitude LIDAR noise are still present in the data, future efforts are needed to remove these. Processing took place on the Occidental College computing cluster using a machine with 192GB RAM and 32 cores and took approximately 3 days. The code used to generate this CHM is available here: https://gist.github.com/max-mapper/d52ad9df2f9ed4d191e67955f950e044. The CHM is available as Cloud Optimized Geotiff, which can be viewed in QGIS dynamically over HTTPS without requiring a full download.

  13. TIGER/Line Shapefile, Current, County, Los Angeles County, CA, All Roads

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, County, Los Angeles County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-los-angeles-county-ca-all-roads
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Los Angeles County
    Description

    This resource is a member of a series. 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 file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  14. l

    Redlining in Los Angeles (HOLC data)

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +3more
    Updated Feb 8, 2021
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    City of Los Angeles Hub (2021). Redlining in Los Angeles (HOLC data) [Dataset]. https://geohub.lacity.org/maps/e3d61a2880e949cb896f5fd8bee4f6df
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    Dataset updated
    Feb 8, 2021
    Dataset authored and provided by
    City of Los Angeles Hub
    Area covered
    Description

    The practice of redlining was codified by a series of maps created as part of the New Deal by the Home Owners’ Loan Corporation, which evaluated the mortgage lending risk of neighborhoods.

  15. TIGER/Line Shapefile, 2023, County, Los Angeles County, CA, Topological...

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Los Angeles County, CA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-los-angeles-county-ca-topological-faces-polygons-with-all-geoc
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    California, Los Angeles County
    Description

    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 file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  16. l

    Community Standards District (CSD)

    • data.lacounty.gov
    • geohub.lacity.org
    • +3more
    Updated May 29, 2020
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    County of Los Angeles (2020). Community Standards District (CSD) [Dataset]. https://data.lacounty.gov/datasets/community-standards-district-csd
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    Dataset updated
    May 29, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    The Community Standards Districts (CSDs) are established as supplemental districts to provide a means of implementing special development standards contained in adopted neighborhood, community, area, specific and local coastal plans within the UNINCORPORATED areas of Los Angeles County, or to provide a means of addressing special problems which are unique to certain geographic areas within the UNINCORPORATED areas of Los Angeles County. For detailed development standards for each CSD, please refer to the Community Standards District portion of the Los Angeles County Code (click here).LAST UPDATED: 4/9/25 for several changes related to the West San Gabriel Area Plan update. These updates took effect on 4/10/25. NOTE - A decision was made at the Board of Supervisor's Hearing that the CSD and Setback updates not be included. However, the GIS layers were updated with these changes and were showing on GIS-NET and Open Data between 4/9/25 and 4/14/25. On 4/14/25, these un-adopted changes were removed and the correct data now shows.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

  17. c

    California Public Schools and Districts Map

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Oct 24, 2018
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    California Department of Education (2018). California Public Schools and Districts Map [Dataset]. https://gis.data.ca.gov/maps/169b581b560d4150b03ce84502fa5c72
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    Dataset updated
    Oct 24, 2018
    Dataset authored and provided by
    California Department of Education
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Description

    This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.

  18. c

    Where are the population centers?

    • hub.scag.ca.gov
    Updated Feb 1, 2022
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    rdpgisadmin (2022). Where are the population centers? [Dataset]. https://hub.scag.ca.gov/maps/9df4a45a3f5e46f6aae5af57988d45fa
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    This multi-scale map shows counts of the total population the US. Data is from U.S. Census Bureau's 2020 PL 94-171 data for county, tract, block group, and block.County and metro area highlights:The largest county in the United States in 2020 remains Los Angeles County with over 10 million people.The largest city (incorporated place) in the United States in 2020 remains New York with 8.8 million people.312 of the 384 U.S. metro areas gained population between 2010 and 2020.The fastest-growing U.S. metro area between the 2010 Census and 2020 Census was The Villages, FL, which grew 39% from about 93,000 people to about 130,000 people.72 U.S. metro areas lost population from the 2010 Census to the 2020 Census. The U.S. metro areas with the largest percentage declines were Pine Bluff, AR, and Danville, IL, at -12.5 percent and -9.1 percent, respectively.View more 2020 Census statistics highlights on local populations changes.

  19. Medical Service Study Areas

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    Updated Dec 6, 2024
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    Department of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.chhs.ca.gov/dataset/medical-service-study-areas
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    zip, arcgis geoservices rest api, csv, kml, geojson, htmlAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description
    This is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).

    Check the Data Dictionary for field descriptions.


    Checkout the California Healthcare Atlas for more Medical Service Study Area information.

    This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.


    <a href="https://hcai.ca.gov/">https://hcai.ca.gov/</a>

    Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

    MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.
  20. m

    City and Unincorporated Community Boundary (LA County Planning)

    • equityhub.metro.net
    Updated Apr 9, 2018
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    County of Los Angeles (2018). City and Unincorporated Community Boundary (LA County Planning) [Dataset]. https://equityhub.metro.net/items/8ea349021cf544adb9bb079d3631df77
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    Dataset updated
    Apr 9, 2018
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This layer shows all incorporated and unincorporated areas of Los Angeles County. The incorporated city boundaries are maintained by the Department of Public Works as part of the cadastral landbase, and reflects the most current annexations as of the date listed below. The unincorporated areas are maintained by the Department of Regional Planning (aka LA County Planning) for land use planning efforts. This is especially important as it relates to the County's General Plan and various area, community, and neighborhood plan updates. Please see relevant links below for more related information:Department of Regional Planning (LA County Planning) - About page.Link to official Public Works City boundary layer (shows all cities and unincorporated area, but not the individual unincorporated communities as recognized by LA County Planning).Link to official Public Works City Annexations layer and web application.Link to Countywide Statistical Areas layer (jurisdictions broken down by neighborhood boundaries for the purpose of reporting statistics)Last updated on 3/30/25 for a reorganization between Monrovia and Arcadia that was effective on 3/17/25; 3/20/25 for an annexation to the City of Duarte (from unincorporated South Monrovia Islands) that was effective on 3/17/25.

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DataLA (2016). LA Times Neighborhood Boundaries [Dataset]. https://geohub.lacity.org/datasets/d6c55385a0e749519f238b77135eafac

LA Times Neighborhood Boundaries

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 7, 2016
Dataset authored and provided by
DataLA
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Description

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.)

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