25 datasets found
  1. K

    Los Angeles County, CA Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 25, 2018
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    Los Angeles County, California (2018). Los Angeles County, CA Parcels [Dataset]. https://koordinates.com/layer/97864-los-angeles-county-ca-parcels/
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    geodatabase, geopackage / sqlite, mapinfo tab, kml, pdf, mapinfo mif, dwg, shapefile, csvAvailable download formats
    Dataset updated
    Sep 25, 2018
    Dataset authored and provided by
    Los Angeles County, California
    Area covered
    Description

    Vector polygon map data of property parcels from Los Angeles County, California containing 2,405,987 features.

    Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  2. d

    Public Transit Lines Los Angeles, CA , 2016, Los Angeles County GIS

    • catalog.data.gov
    Updated Feb 25, 2025
    + more versions
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    County of Los Angeles (Publisher) (2025). Public Transit Lines Los Angeles, CA , 2016, Los Angeles County GIS [Dataset]. https://catalog.data.gov/dataset/public-transit-lines-los-angeles-ca-2016-los-angeles-county-gis13
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    County of Los Angeles (Publisher)
    Area covered
    Los Angeles County, Los Angeles, California
    Description

    This dataset contains the information for the transit lines in Los Angeles, California. The file contains left and right alignments for five Metro lines to include: the Red and Purple Line, the Gold Line, the Green Line, the Expo Line, the Blue Line. The alignments were created from coordinate points extracted from the Record Drawing. The Record Drawings included spiral curve, circle curve, and alignment data. The Record Drawings were created at various time from 11/1985 to 04/1999. Only tangent lines and circular curve data were used to create the alignments. Spiral data and crossover data were estimated and do not reflect the actual curvature of the tracks.

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

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). 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
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Los Angeles County, California
    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) System (MTS). The MTS 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 MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS 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.

  4. c

    Public Transit Station Los Angeles, CA, 2016, Los Angeles County GIS

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Feb 25, 2025
    + more versions
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    County of Los Angeles (Publisher) (2025). Public Transit Station Los Angeles, CA, 2016, Los Angeles County GIS [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/public-transit-station-los-angeles-ca-2016-los-angeles-county-gis13
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    County of Los Angeles (Publisher)
    Area covered
    Los Angeles County, Los Angeles, California
    Description

    This dataset contains the information for the transit line stations in Los Angeles, California. The file contains the stopping stations for five Metro lines to include: the Red and Purple Line, the Gold Line, the Green Line, the Expo Line, the Blue Line. The alignments were created from coordinate points extracted from the Record Drawing. The Record Drawings included spiral curve, circle curve, and alignment data. The Record Drawings were created at various time from 11/1985 to 04/1999. Only tangent lines and circular curve data were used to create the alignments. Spiral data and crossover data were estimated and do not reflect the actual curvature of the tracks.

  5. TIGER/Line Shapefile, 2021, County, Los Angeles County, CA, All Roads

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, County, Los Angeles County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-county-los-angeles-county-ca-all-roads
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Los Angeles County, California
    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. 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, stairways, and winter trails.

  6. l

    Zoning (L.A. County Unincorporated)

    • geohub.lacity.org
    • data.lacounty.gov
    • +3more
    Updated Jan 18, 2019
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    County of Los Angeles (2019). Zoning (L.A. County Unincorporated) [Dataset]. https://geohub.lacity.org/datasets/lacounty::zoning-l-a-county-unincorporated/about
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    Dataset updated
    Jan 18, 2019
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This is the zoning layer for UNINCORPORATED areas of Los Angeles County. It does not draw at all scales because there are lots of records (so basically for speed and performance), so it is scale dependent. Also, why only for UNINCORPORATED areas? Because there are 88 cities in L.A. County and they each manage their zoning and land use information separately.

    For more complete information, see Title 22 (Planning and Zoning) of the Los Angeles County Code, or visit the Department of Regional Planning's website here.

    PLEASE NOTE: Santa Catalina Island is not included in this dataset. It is in a separate data layer since Catalina has specific zoning categories that differ from the Countywide zoning categories found in Title 22. The Department of Regional Planning performs all land use planning functions for the UNINCORPORATED areas of Los Angeles County. Our services include long range planning, land development counseling, project/case intake and processing, environmental review and zoning enforcement for each of our County UNINCORPORATED communities.What is an UNINCORPORATED area of Los Angeles County?There are 88 incorporated cities within Los Angeles County, each with its own city council. The areas that are NOT part of these cities are considered to be UNINCORPORATED County territory. More than 65 percent of Los Angeles County is UNINCORPORATED. For the approximately 1 million people living in these areas, the Board of Supervisors and County departments provide the municipal services.LAST UPDATED: 4/9/25 for several zone changes related to the South Bay, West San Gabriel, and Westside Area Plan updates. These updates 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.

  7. a

    Active Wells

    • egis-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Jun 8, 2020
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    County of Los Angeles (2020). Active Wells [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/active-wells
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    County of Los Angeles
    Description

    Los Angeles Public Works has developed a groundwater well web viewer to provide the public with current and historical groundwater depth information throughout Los Angeles County.Purpose:To provide active wells information to the public.Supplemental Information:1. The State of California Department of Water Resources (DWR) developed the California Statewide Groundwater Elevation Monitoring (CASGEM) Program to make groundwater monitoring information available to the public through collaboration between local monitoring parties and DWR to collect groundwater elevation information statewide. The data have been compiled in the CASGEM Online System and made available to the public via the Internet with a GIS map interface. As a result, all interested parties can use the data to evaluate and monitor groundwater conditions in California.The CASGEM Online System will allow you to:• View lists of local agencies, counties and associations who have volunteered to serve as CASGEM Monitoring Entities providing groundwater data statewide• View CASGEM Monitoring Plans and Groundwater Management Plans (via hyperlink)• Search and view groundwater elevation data in tabular format• View hydrographs that show groundwater elevations for wells• Search and view groundwater monitoring well information• View mapped locations of CASGEM wells, monitoring area boundaries, and other geographic information• Measure distances between wells and size of monitoring areas and basins• Download well information, groundwater data, hydrographs and maps• Download summary reports on wells, groundwater elevations, Monitoring Entities and basin information.2. The State of California Department of Conservation developed the Division of Oil, Gas & Geothermal Resources Well Finder, which is a web viewer that allows the public to access information on oil, gas, and geothermal wells throughout the State.

  8. K

    Los Angeles City Boundary

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 3, 2018
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    City of Los Angeles, California (2018). Los Angeles City Boundary [Dataset]. https://koordinates.com/layer/98158-los-angeles-city-boundary/
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    shapefile, geopackage / sqlite, mapinfo tab, geodatabase, dwg, csv, pdf, mapinfo mif, kmlAvailable download formats
    Dataset updated
    Oct 3, 2018
    Dataset authored and provided by
    City of Los Angeles, California
    Area covered
    Description

    Polygon vector map data covering boundaries for the City of Los Angeles containing 4 features.

    Boundary GIS (Geographic Information System) data is spatial information that delineates the geographic boundaries of specific geographic features. This data typically includes polygons representing the outlines of these features, along with attributes such as names, codes, and other relevant information.

    Boundary GIS data is used for a variety of purposes across multiple industries, including urban planning, environmental management, public health, transportation, and business analysis.

    Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  9. l

    Land Use and Zoning

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +2more
    Updated Jan 6, 2021
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    LA Sanitation (2021). Land Use and Zoning [Dataset]. https://geohub.lacity.org/maps/356cca09a3054f5da0b0eb6387f6d827
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    Dataset updated
    Jan 6, 2021
    Dataset authored and provided by
    LA Sanitation
    Area covered
    Description

    Land Use and Zoning data for the City of Los Angeles as well as Los Angeles County.

  10. a

    BOE TRA 2025 co19

    • hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated Jun 9, 2025
    + more versions
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    California Department of Tax and Fee Administration (2025). BOE TRA 2025 co19 [Dataset]. https://hub.arcgis.com/datasets/CDTFA::los-angeles-2025-roll-year?layer=1
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    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Los Angeles County for the specified assessment roll year. Boundary alignment is based on the 2009 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  11. a

    Oil and Gas Wells - LA County

    • hub.arcgis.com
    Updated May 25, 2023
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    County of Los Angeles (2023). Oil and Gas Wells - LA County [Dataset]. https://hub.arcgis.com/datasets/81bd965f66a7447288ffff153dfd3502
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    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Oil and gas wells in LA County. Original data downloaded from: GIS Mapping (ca.gov) on May 24, 2023.Data will be updated as needed.Primary use is for Oil and Gas Dashboard.Webmap: https://lacounty.maps.arcgis.com/home/item.html?id=c947a68fa3eb46f4b01110fce1f7305fDashboard: https://lacounty.maps.arcgis.com/home/item.html?id=f2ebefe288904124bf61e2d3b242010f

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

    • catalog.data.gov
    Updated Aug 10, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). 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
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Los Angeles County, California
    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.

  13. l

    Safe Havens

    • visionzero.geohub.lacity.org
    • egis-lacounty.hub.arcgis.com
    • +1more
    Updated Nov 17, 2015
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    lahub_admin (2015). Safe Havens [Dataset]. https://visionzero.geohub.lacity.org/maps/lahub::safe-havens/explore
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    Dataset updated
    Nov 17, 2015
    Dataset authored and provided by
    lahub_admin
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Description

    Locations of Safe Havens in Los Angeles County where the public can bring newborns and safely surrender them within 72 hours of birth. See http://www.babysafe.ca.gov/This dataset is maintained through the County of Los Angeles Location Management System. The Location Management System is used by the County of Los Angeles GIS Program to maintain a single, comprehensive geographic database of locations countywide. For more information on the Location Management System, visit http://egis3.lacounty.gov/lms/.

  14. l

    Sewer Pipes

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +6more
    Updated Nov 14, 2015
    + more versions
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    lahub_admin (2015). Sewer Pipes [Dataset]. https://geohub.lacity.org/datasets/sewer-pipes
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    Dataset updated
    Nov 14, 2015
    Dataset authored and provided by
    lahub_admin
    Area covered
    Description

    This pipe feature class represents current wastewater information of the mainline sewer in the City of Los Angeles. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most rigorous geographic information of the storm drain system using a geometric network model, to ensure that its storm drains reflect current ground conditions. The conduits and inlets represent the storm drain infrastructure in the City of Los Angeles. Storm drain information is available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the wastewater Pipe is entered into attributes. Principal attributes include:PIPE_SUBTYPE: pipe subtype is the principal field that describes various types of lines as either Airline, Force Main, Gravity, Siphon, or Special Lateral.For a complete list of attribute values, please refer to (TBA Wastewater data dictionary). Wastewater pipe lines layer was created in geographical information systems (GIS) software to display the location of sewer pipes. The pipe lines layer is a feature class in the LACityWastewaterData.gdb Geodatabase dataset. The layer consists of spatial data as a line feature class and attribute data for the features. The lines are entered manually based on wastewater sewer maps and BOE standard plans, and information about the lines is entered into attributes. The pipe lines are the main sewers constructed within the public right-of-way in the City of Los Angeles. The ends of line segments, of the pipe lines data, are coincident with the wastewater connectivity nodes, cleanout nodes, non-structures, and physical structures points data. Refer to those layers for more information. The wastewater pipe lines are inherited from a sewer spatial database originally created by the City's Wastewater program. The database was known as SIMMS, Sewer Inventory and Maintenance Management System. For the historical information of the wastewater pipe lines layer, refer to the metadata nested under the sections Data Quality Information, Lineage, Process Step section. Pipe information should only be added to the Wastewater Pipes layer if documentation exists, such as a wastewater map approved by the City Engineer. Sewers plans and specifications proposed under private development are reviewed and approved by Bureau of Engineering. The Department of Public Works, Bureau of Engineering's, Brown Book (current as of 2010) outlines standard specifications for public works construction. For more information on sewer materials and structures, look at the Bureau of Engineering Manual, Part F, Sewer Design, F 400 Sewer Materials and Structures section, and a copy can be viewed at http://eng.lacity.org/techdocs/sewer-ma/f400.pdf.List of Fields:STREET: This is the street name and street suffix on which the pipe is located.PIPE_LABEL: This attribute identifies the arc segment between two nodes, which represents the pipe segment. There could be any number of pipes between the same two maintenance holes and at least one. If there is more than one pipe between the same two maintenance holes, then a value other than 'A' is assigned to each pipe, such as the value 'B', 'C', and so on consecutively. Also, when a new pipe is constructed, some old pipes are not removed from the ground and the new pipe is added around the existing pipe. In this case, if the original pipe was assigned an 'A', the new pipe is assigned a 'B'.C_UP_INV: This is the calculated pipe upstream invert elevation value.PIPE_MAT: The value signifies the various materials that define LA City's sewer system. Values: • TCP - Terra Cotta pipe. • CMP - Corrugated metal pipe. • RCP - Reinforced concrete pipe. Used for sewers larger than 42inch, with exceptions. • PCT - Polymer concrete pipe. • CON - Concrete or cement. • DIP - Ductile iron pipe. • ABS - Acrylonitrile butadiene styrene. • STL - Steel. • UNK - Unknown. • ACP - Asbestos cement pipe. • RCL - Reinforced concrete pipe lined. • OTH - Other or unknown. • VCP - Vitrified clay pipe. • TRS - Truss pipe. • CIP - Cast iron pipe. • PVC - Polyvinyl chloride. • BRK - Brick. • RCPL - Lined Reinforced concrete pipe. Used for sewers larger than 42inch, with exceptions. • B/C - Concrete brick pipe. • FRP - Centrifugally cast fiberglass reinforced plastic mortar pipe.DN_INV: This is the downstream invert elevation value.PIPE_WIDTH: This value is the pipe dimension for shapes other than round.C_SLOPE: This is the calculated slope.ENABLED: Internal feature number.DN_STRUCT: This attribute identifies a number at one of two end points of the line segment that represents a sewer pipe. A sewer pipe line has a value for the UP_STRUCT and DN_STRUCT fields. This point is the downstream structure that may be a maintenance hole, pump station, junction, etc. Each of these structures is assigned an identifying number that corresponds to a Sewer Wye data record. The 8 digit value is based on an S-Map index map using a standardized numbering scheme. The S-Map is divided into 16 grids, each numbered sequentially from west to east and north to south. The first three digits represent the S-Map number, the following two digits represent the grid number, and the last three digits represent the structure number within the grid. This field also relates to the (name of table or layer) node attribute table.PIPE_SIZE: This value is the inside pipe diameter in inches.MON_INST: This is the month of the pipe installation.PIPE_ID: The value is a combination of the values in the UP_STRUCT, DN_STRUCT, and PIPE_LABEL fields. This is the 17 digit identifier of each pipe segment and is a key attribute of the pipe line data layer. This field named PIPE_ID relates to the field in the Annotation Pipe feature class and to the field in the Wye line feature class data layers.REMARKS: This attribute contains additional comments regarding the pipe line segment.DN_STA_PLS: This is the tens value of the downstream stationing.EASEMENT: This value denotes whether or not the pipe is within an easement.DN_STA_100: This is the hundreds value of the downstream stationing.PIPE_SHAPE: The value signifies the shape of the pipe cross section. Values: • SE - Semi-Elliptical. • O1 - Semi-Elliptical. • UNK - Unknown. • BM - Burns and McDonald. • S2 - Semi-Elliptical. • EL - Elliptical. • O2 - Semi-Elliptical. • CIR - Circular. • Box - Box (Rectangular).PIPE_STATUS: This attribute contains the pipe status. Values: • U - Unknown. • P - Proposed. • T - Abandoned. • F - As Built. • S - Siphon. • L - Lateral. • A - As Bid. • N - Non-City. • R - Airline.ENG_DIST: LA City Engineering District. The boundaries are displayed in the Engineering Districts index map. Values: • O - Out LA. • V - Valley Engineering District. • W - West LA Engineering District. • H - Harbor Engineering District. • C - Central Engineering District.C_PIPE_LEN: This is the calculated pipe length.OWNER: This value is the agency or municipality that constructed the pipe. Values: • PVT - Private. • CTY - City of LA. • FED - Federal Facilities. • COSA - LA County Sanitation. • OUTLA - Adjoining cities.CRTN_DT: Creation date of the line feature.TRTMNT_LOC: This value is the treatment plant used to treat the pipe wastewater.PCT_ENTRY2: This is the flag determining if the second slope value, in SLOPE2 field, was entered in percent as opposed to a decimal. Values: • Y - The value is expressed as a percent. • N - The value is not expressed as a percent.UP_STA_100: This is the hundreds value of the upstream stationing.DN_MH: The value is the ID of the structure. This point is the structure that may be a maintenance hole, pump station, junction, etc. The field name DN_MH signifies the structure is the point at the downstream end of the pipe line segment. The field DN_MH is a key attribute to relate the pipe lines feature class to the STRUCTURE_ID field in the physical structures feature class.SAN_PIPE_IDUSER_ID: The name of the user carrying out the edits of the pipe data.WYE_MAT: This is the pipe material as shown on the wye card.WYE_DIAM: This is the pipe diameter as shown on the wye card.SLOPE2: This is the second slope value used for pipe segments with a vertical curve.EST_YR_LEV: This value is the year installed level.EST_MATL: This is the flag determining if the pipe material was estimated.LINER_DATE: This value is the year that the pipe was re-lined.LAST_UPDATE: Date of last update of the line feature.SHAPE: Feature geometry.EST_YEAR: This is the flag indicating if the year if installation was estimated.EST_UPINV: This is the flag determining if the pipe upstream elevation value was estimated.WYE_UPDATE: This value indicates whether the wye card was updated.PCT_ENTRY: This is the flag determining if the slope was entered in percent as opposed to a decimal. Values: • N - The value is not expressed as a percent. • Y - The value is expressed as a percent.PROF: This is the profile drawing number.PLAN1: This is the improvement plan drawing number.PLAN2: This is the supplementary improvement plan drawing number.EST_DNINV: This is the flag determining if the pipe downstream elevation value was estimated.UP_STRUCT: This attribute identifies a number at one of two end points of the line segment that represents a sewer pipe. A sewer pipe line has a value for the UP_STRUCT and DN_STRUCT fields. This point is the upstream structure that may be a maintenance hole, pump station, junction, etc. Each of these structures is assigned an identifying number that corresponds to a Sewer Wye data record. The 8 digit value is based on an S-Map index map

  15. a

    State of Black LA Community Indicators Year 2

    • equity-lacounty.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 13, 2024
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    County of Los Angeles (2024). State of Black LA Community Indicators Year 2 [Dataset]. https://equity-lacounty.hub.arcgis.com/datasets/state-of-black-la-community-indicators-year-2
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. Countywide Statistical Areas (CSA) are current as of October 2023.

    Fields ending in _yr1 were calculated for the original 2021-2022 SBLA report, while fields ending in _yr2 or without a year suffix were calculated for the 2023-2025 version. Eviction Filings per 100 (eviction_filings_per100) and Life Expectancy (life_expectancy) did not have updated data and are the same data shown in the Year 1 report.

    Population and demographic data are from US Census American Community Survey (ACS) 5-year estimates, aggregated up from census tract or block group to CSA. Year 1 data are from 2020, year 2 data are from 2022.

    Poverty Data (200% FPL) are from LA County ISD-eGIS Demographics. Year 1 data are from 2021, Year 2 are from 2022.

    The 2023-2025 report includes several new indicators that are calculated as the percent of countywide population by race that resides in a geographic area of interest. Population for these indicators is estimated based on intersection with census block group centroids. These indicators are:

    Indicator

    Fields

    Source

    Health Professional Shortage Areas (HPSA) for Primary Care

    hpsa_primary_pct hpsa_primary_black_pct

    LA County DPH https://data.lacounty.gov/datasets/lacounty::health-professional-shortage-area-primary-care/about

    Health Professional Shortage Areas (HPSA) for Mental Health

    hpsa_mental_pct hpsa_mental_black_pct

    LA County DPH https://data.lacounty.gov/datasets/lacounty::health-professional-shortage-area-mental-health/about

    Concentrated Disadvantage

    cd_pct cd_black_pct

    LA County ISD-Enterprise GIS https://egis-lacounty.hub.arcgis.com/datasets/lacounty::concentrated-disadvantage-index-2022/explore

    Firearm Dealers

    firearm_dl_count (count of dealers in CSA) firearm_dl_per10000 (rate of dealers per 10,000)

    LA County DPH Office of Violence Prevention (OVP)

    High and Very High Park Need Areas

    parks_need_pct parks_need_black_pct

    LA County Parks Needs Assessment Plus (PNA+) https://lacounty.maps.arcgis.com/apps/instant/media/index.html?appid=3d0ef36720b447dcade1ab87a2cc80b9

    High Quality Transit Areas

    hqta_pct hqta_black_pct

    SCAG https://lacounty.maps.arcgis.com/home/item.html?id=43e6fef395d041c09deaeb369a513ca1

    High Walkability Areas

    walk_total_pct walk_black_pct

    EPA Walkability Index https://www.epa.gov/smartgrowth/smart-location-mapping#walkability

    High Poverty and High Segregation Areas

    highpovseg_total_pct highpovseg_black_pct

    CTCAC/HCD Opportunity Area Maps https://www.treasurer.ca.gov/ctcac/opportunity.asp

    LA County Arts Investments

    arts_dollars (total $$ for CSA) arts_dollars_percap (investment dollars per capita)

    LA County Department of Arts and Culture https://lacountyartsdata.org/#maps

    Strong Start (areas with at least 9 Strong Start indicators)

    strongstart_total_pct strongstart_black_pct

    CA Strong Start Index https://strongstartindex.org/map

    For more information about the purpose of this data, please contact CEO-ARDI.

    For more information about the configuration of this data, please contact ISD-Enterprise GIS.

  16. l

    LA Times Neighborhood Boundaries

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +4more
    Updated Oct 7, 2016
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    DataLA (2016). LA Times Neighborhood Boundaries [Dataset]. https://geohub.lacity.org/datasets/la-times-neighborhood-boundaries
    Explore at:
    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.)

  17. Vegetation - Ballona Wetlands [ds2966]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +3more
    Updated Sep 5, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). Vegetation - Ballona Wetlands [ds2966] [Dataset]. https://gis.data.ca.gov/maps/CDFW::vegetation-ballona-wetlands-ds2966
    Explore at:
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Description

    California Department of Fish and Game (DFG) ecologists conducted field reconnaissance for this project and Santa Monica Bay Restoration Commission assisted with field data collection. Under contract to the DFG, GreenInfo Network digitized a fine-scale vegetation map of the Ballona Wetlands Ecological Reserve (BWER). The mapping study area consists of approximately 600 acres within Ballona Wetlands Ecological Reserve of Los Angeles County, California. CNPS under separate contract and in collaboration with California Department of Fish and Wildlife VegCAMP developed the floristic vegetation classification used for the project. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS).This map study was initiated to assist in restoration planning for the Ballona Wetland Enhancement Project, which aims to restore and enhance native habitats on BWER and provide public access and recreational opportunities. The primary purpose of CDFW’s goal of developing fine-scale digital vegetation maps is part of the California Biodiversity Initiative Roadmap of 2018. The mapping study area consists of approximately 600 acres within Ballona Wetlands Ecological Reserve of Los Angeles County, California. Reconnaissance was conducted by CDFW ecologists on May 9-11, 2006 to collect a preliminary list of vegetation types to accurately represent the study area. On June 13, 2006, I.K. Curtis Aerial Photography took a true color orthophoto at 1-foot pixel resolution (±1:16,800) under contract to the Coastal Conservancy and Brad Henderson (CDFW) combined the preliminary vegetation list to manually draw polygons overlaid the air photo. GreenInfo used the drawing and air photo for a digitized map draft of polygons to be verified and assessed by field crews for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes on June 19-22, 2007. Field crews noted 8 exotic, invasive species in the map polygons worthy of special interest in regards to restoration planning decisions. Field reconnaissance enhanced map quality. There was a total of 61 mapping classes. No accuracy assessment of this map has been performed because ecologists visited every polygon in the field. For detailed information, please refer to the following report:Vegetation Classification and Mapping Program, California Department of Fish and Game. Vegetation Map of Ballona Wetlands Ecological Reserve, Los Angeles County, California, 2007. California Department of Fish and Game; 2007. Available from: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=16316

  18. l

    Schools Colleges and Universities

    • geohub.lacity.org
    • hub.arcgis.com
    • +1more
    Updated Jun 7, 2023
    + more versions
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    County of Los Angeles (2023). Schools Colleges and Universities [Dataset]. https://geohub.lacity.org/datasets/lacounty::schools-colleges-and-universities
    Explore at:
    Dataset updated
    Jun 7, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    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

  19. Medical Service Study Areas

    • healthdata.gov
    • data.ca.gov
    • +5more
    csv, xlsx, xml
    Updated Apr 8, 2025
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    chhs.data.ca.gov (2025). Medical Service Study Areas [Dataset]. https://healthdata.gov/State/Medical-Service-Study-Areas/nvx2-hzzm
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    chhs.data.ca.gov
    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. c

    California Public Schools and Districts Map

    • gis.data.ca.gov
    • catalog.data.gov
    • +2more
    Updated Oct 24, 2018
    + more versions
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    California Department of Education (2018). California Public Schools and Districts Map [Dataset]. https://gis.data.ca.gov/maps/169b581b560d4150b03ce84502fa5c72
    Explore at:
    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.

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Los Angeles County, California (2018). Los Angeles County, CA Parcels [Dataset]. https://koordinates.com/layer/97864-los-angeles-county-ca-parcels/

Los Angeles County, CA Parcels

Explore at:
geodatabase, geopackage / sqlite, mapinfo tab, kml, pdf, mapinfo mif, dwg, shapefile, csvAvailable download formats
Dataset updated
Sep 25, 2018
Dataset authored and provided by
Los Angeles County, California
Area covered
Description

Vector polygon map data of property parcels from Los Angeles County, California containing 2,405,987 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

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