This layer represents current city parcels within the City of Los Angeles. It shares topology with the Landbase parcel lines feature class. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most current geographic information of the public right of way, ownership and land record information. The legal boundaries are determined on the ground by license surveyors in the State of California, and by recorded documents from the Los Angeles County Recorder's office and the City Clerk's office of the City of Los Angeles. Parcel and ownership information are available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the landbase parcels is entered into attributes. Principal attributes include:PIN and PIND: represents the unique auto-generated parcel identifier and key to related features and tables. This field is related to the LA_LEGAL, LA_APN and LA_HSE_NBR tables. PIN contains spaces and PIND replaces those spaces with a dash (-).LA_LEGAL - Table attributes containing legal description. Principal attributes include the following:TRACT: The subdivision tract number as recorded by the County of Los AngelesMAP_REF: Identifies the subdivision map book reference as recorded by the County of Los Angeles.LOT: The subdivision lot number as recorded by the County of Los Angeles.ENG_DIST: The four engineering Districts (W=Westla, C=Central, V= Valley and H=Harbor).CNCL_DIST: Council Districts 1-15 of the City of Los Angeles. OUTLA means parcel is outside the City.LA_APN- Table attributes containing County of Los Angeles Assessors information. Principal attributes include the following:BPP: The Book, Page and Parcel from the Los Angeles County Assessors office. SITUS*: Address for the property.LA_HSE_NBR - Table attributes containing housenumber information. Principal attributes include the following:HSE_ID: Unique id of each housenumber record.HSE_NBR: housenumber numerical valueSTR_*: Official housenumber addressFor a complete list of attribute values, please refer to Landbase_parcel_polygons_data_dictionary.

© Randy Price Division Manager Mapping and Land Records Division Bureau of Engineering / Department of Public Works City of Los Angeles This layer is sourced from lacitydbs.org

File Geodatabase - Click hereShapefile - Click hereThis dataset contains current parcel boundaries and related attributes for approximately 2.4 million parcels maintained by the Los Angeles County Assessor (updated monthly on the second of every month). Due to the size of the data, it is only available for download as a zipped file geodatabase or shapefile at this time. For additional annual assessment roll history and attribute metadata descriptions, please visit the L.A. County Open Data Portal and search for Assessor. To better understand individual data elements, or to interactively view individual parcel information, please visit the Assessor’s Portal. A public-facing parcel map cache can be accessed here (updated weekly): https://public.gis.lacounty.gov/public/rest/services/LACounty_Cache/LACounty_Parcel/MapServer/0All inquiries should be directed to the Mapping & GIS Services Section, LA County Office of the Assessor at gisinfo@assessor.lacounty.gov

Do not download this parcel map service as a shapefile - you will get an error. To download a zipped file geodatabase, go to this Hub item: https://egis-lacounty.hub.arcgis.com/datasets/parcelsThis map service provides information about properties and parcel boundaries in the County of Los Angeles. The Office of the Assessor (click here for their website) maintains assessment records of real and personal property in the County of Los Angeles, as well as a GIS Tax Parcel Base Map. The Assessor has recently changed its policies and will be releasing a number of datasets publicly over time. They will be available here, as well as on the County’s Open Data Portal (click here to learn more). To access the Property Assessment Information System, where you can search for properties and see maps and imagery, go to the PAIS website.All inquiries should be directed to the Mapping & GIS Services Section, LA County Office of the Assessor at gisinfo@assessor.lacounty.gov

Index of the County Assessor's maps.

Update May 7th, 2025 - BSD_Tag is finalized, with definitions below.A “Red” tag indicates that the property has been assessed and deemed uninhabitable due to severe damage or safety hazards resulting from the wildfire. The red tagged properties shall not be entered or occupied.

Update April 28, 2025 - Added.a new field, TT_Eligible, which contains final eligibility status as determined by Tetratech, who performed a manual review of properties. The field has the following values:Eligible from DINS (n=11.806)Excluded by Tetratech (n=242) - generally individual condominiums in a large group where only a few condos were damaged or destroyedIncluded by Tetratech (n=79) - properties where the DINS data incorrectly identified parcels as undamaged or minor damage.Update April 25, 2025 - BSD_Tag field updated with changes and corrections from BSD.Update March 28th 2025 - Preliminary BSD tagging / ATC data added under BSD_Tag field. The source data comes from BSD and was joined to the Parcel DINS dataset. Possible ATC values are Yellow (Restricted Use) and Red (Unsafe). There were some Green (Inspected) records in the original data, however, those are incomplete since inspectors were focused on the more severe cases. Residential and commercial parcels with a DINS status of Destroyed (Damage > 50%) were also given a value of Red (Unsafe). In cases where there was more than one BSD record on a parcel, the more severe value was used. IMPORTANT: The ATC data is still being reviewed and refined. Therefore, the values in the BSD_Tag field are subject to change. Additionally, the ATC data is only available for the unincorporated areas.Process used to calculate BSD_Tag:For Eaton: Red-tagging information came from EPIC-LA extract. Red-tagging with a focus on pools occurred on 1/18-1/19/2025 so these records were excluded. An initial base of red-tagged properties was created with the Parcel DINS data using the following criteria UseType = Residential or Commercial, LegalCity = Unincorporated, and Damage category = Destroyed. The BSD_Tag was then overwritten with the red-tagging coming from the EPIC-LA dataset, joining by AIN.For Palisades: The process was simpler. The BSD_Tag data came directly from EPIC-LA/Calabasas Office survey and joined to the Parcel DINS dataset using the AIN. No additional querying or work was necessary.Dataset last updated on March 26th, 2025This dataset comes from two data sources:1. Los Angeles County Parcel Data. See this link for for information: https://data.lacounty.gov/documents/4d67b154ae614d219c58535659128e71/about2. Damage Inspection (DINS) Data from CalFire:Eaton: https://data.lacounty.gov/maps/6254ba9f9c4f4b0f886f24c902c8eda3Palisades: https://data.lacounty.gov/datasets/CALFIRE-Forestry::dins-2025-palisades-public-view/aboutProcess:The dataset includes all parcels within the Established Fire Perimeters from CalFIRE and all parcels that had DINS inspections for any and all structures (including miscellaneous structures which had been removed in earlier version). If more than one DINS inspection occurred on a parcel, the information from the most damaged building was attached to the parcel. Update March 19th 2025 - To support new reporting requirements, we changed the use description for Condominiums (4-digit Use Code ending in 'C' from Residential - Single to Residential - Condominium'Update March 19th 2025 - To support the complete removal of all debris, all properties that were identified as "Inaccessible" (28 total) were reviewed using post-fire aerial imagery and updated. 26 out of the 28 were undamaged, and 2 were identified as destroyed.Additionally, parcels where a Damage Inspection (DINS_Count) had not been done, but the Assessor had a unit count (Total_Units) greater than 0 were also manually inspected. This resulted in an additional 40 parcels identified as damaged (36 destroyed). Some of these parcels reflect a single building covering more than one property. Buildings that were under construction had their unit and square footage count set to zero. The DINS_Count for these properties was changed from

ESRI ArcGIS Online Map based application allowing users to view historical city boundary annexation and detachment information to and from the 88 incorporated cities within Los Angeles County. Public can use widgets that are available in the app to get information for the Annexations. For information regarding Proposed City Annexation/Detachment and Special District Formation, click here.

This dataset seeks to encapsulate right of way parcel information for the Los Angeles County Flood Control District(LACFCD). It contains polygons representing each parcel and attribute information information that lists the basic identification information of those parcels. There is also information on the underlying right-of-way map that the parcel polygon and attributes are based on--with a link to that map in the Land Records Information Website.This data is maintained by the Right of Way Section of the Survey/Mapping and Property Management Division of the Department of Public Works. It is drawn to be coincident with the county's landbase linework and thus may not be a true representation of a parcel's boundary. It is intended to be used as a general information tool and is not survey quality.Field ListFacilityThe primary name of the facility this parcel belongs to. Typically the name of the river, stream, or drainage project it is a part of.Parcel_NoThe identification number for a particular parcel within a facility. The parcel number is not necessarilly unique.EstateThe type of estate that the LACFCD holds over a particular parcel. This field will list the following attributes:Fee: The LACFCD owns the parcel outright.Easement: The LACFCD holds an easement over this parcel. The type of easement is not listed in this data. It can usually be found in the linked right of way map or by contacting Right of Way Engineering.Quitclaim: This is a parcel which the LACFCD owned or had an easement over at some point but has now sold, released its claim, or transferred its right of way to another party.Other: This is a catch-all attribute for any sort of relationship that does not fit in the other estate types. One example of this is a permit that grants temporary rights to the LACFCD. Map_NoThe primary right of way map that shows a parcel and that served as the basis for the information shown in the dataset. These maps are maintained and are considered to take precedence over the data in this dataset.MapLinkThis is a link to a a scan of the map, if one exists, listed in the "Map_No" field. These are color scans found in the LA County's Land Records Information Website. Update Schedule: QuarterlyContact Info:Diego Veradvera@dpw.lacounty.gov(626) 458-7368Right of Way SectionSurvey/Mapping and Property Management DivisionDepartment of Public Works

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.

The Lands pdf represent the location and project number of NMDOT Construction projects.

The Digital Geologic-GIS Map of the French Quarter Visitor Center and Barataria Preserve Unit, Jean Lafitte National Historical Park and Preserve, Louisiana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (jela_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (jela_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (jela_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (jela_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (jela_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (jela_geology_metadata_faq.pdf). Please read the jela_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Louisiana Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (jela_geology_metadata.txt or jela_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

A viewer intended to provide the public with information regarding the jurisdictional responsibilities of a variety of Public Works core services as well as links to key indicators for communities throughout the county. It should help a member of the public identify important PW services and help with identifying contact information for additional help. Jurisdictional boundaries include layers on infrastructure for a number of core Public Works areas of focus, such as:Flood ControlSewers and LandfillsTransporationWaterGarbage DisposalPublic Works FacilitiesInformation is also available for services in any given area using the "Service Locator".Information is available for communities and cities using "Community Profiles".

This map highlights all the publicly owned parcels in Los Angeles by council district.

Index of drainage maps in the City.

The Planning and Land Development web experience provides a variety of property-related information such as lot boundaries, subdivisions, zoning district, and land use in East Baton Rouge Parish, Louisiana. Users have the options to turn on other various layers such as overlay districts, council districts, addresses and the tax parcel layer which is provided courtesy of the EBRP Assessor's Office.This application features three web maps including:Planning Cadastral Map at https://ebrgis.maps.arcgis.com/home/item.html?id=43e518581406442990aa676044796418Land Development Application Search Tool at https://ebrgis.maps.arcgis.com/home/item.html?id=c53a5bf66b994005a08978e84fc435d3Planning Reference Map at https://ebrgis.maps.arcgis.com/home/item.html?id=66ed92bfbe7446cabe0129009f8d3848

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.

This Open-File report is a digital geologic map database. This digital map database is compiled from previously published sources combined with some new mapping and modifications in nomenclature. The geologic map database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U. S. Geological Survey.

Graph and download economic data for Market Hotness: Page View Count per Property in Los Angeles County, CA (LDPEPRMMCOUNTY6037) from Sep 2017 to Aug 2025 about Los Angeles County, CA; Los Angeles; CA; listing; and USA.

The Digital Geologic-GIS Map of the Long Lake Quadrangle, Mississippi and Louisiana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (lola_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (lola_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (lola_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (vick_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (vick_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (lola_geology_metadata_faq.pdf). Please read the vick_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Mississippi State University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (lola_geology_metadata.txt or lola_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

As part of THEIA (the French Data and Services center for continental surfaces) CIRAD's TETIS research unit is developing an automated mapping method based on the Moringa chain that minimizes interactions with users by automating most image analysis and processing. The methodology uses jointly a Very High Spatial Resolution image (Spot6/7 or Pleiades) and one or more time series of High Spatial Resolution optical images such as Sentinel-2 and Landsat-8 for a classification combining segmentation and object classification (use of the Random Forest algorithm) driven by a learning database constituted from in situ collection and photo-interpretation. The land use maps are produced as part of the GABIR project (Gestion Agricole des Biomasses à l'échelle de l'Ile de la Réunion) and are all distributed on CIRAD's spatial data catalogue : https://geode.cirad.fr This Dataverse entry concerns the maps produced, for the year 2017, using a mosaic of Pleiades images to calculate segmentation (extraction of homogeneous objects from the image). We use a field database with a nested nomenclature with 3 levels of accuracy allowing us to produce a classification by level. The most detailed level distinguishing crop types has an overall accuracy of 86% and a Kappa index of 0.85. Level 2, distinguishing crop groups, has an overall accuracy of 92% and a Kappa index of 0.90. Level 1, distinguishing major land use groups, has an overall accuracy of 97% and a Kappa index of 0.94. A detailed sheet presenting the validation method and results is available for download. Dans le cadre du Centre d’Expertise Scientifique Occupation des Sols de THEIA, l’UMR TETIS du CIRAD développe une méthode de cartographie automatisée fondée sur la chaine Moringa qui minimise les interactions avec les utilisateurs par l’automatisation de la plupart des processus d’analyse et de traitement des images. La méthodologie utilise conjointement une image à Très Haute Résolution Spatiale (Spot6/7 ou Pléiades) et une ou plusieurs séries temporelles d’images optiques à Haute Résolution Spatiale type Sentinel-2 et Landsat-8 pour une classification combinant segmentation et classification objet (utilisation de l’algorithme Random Forest) entrainée par une base de données d’apprentissage constituée à partir de collecte in situ et de photo-interprétation. Les cartes d'occupation du sol sont réalisées dans le cadre du projet GABIR (Gestion Agricole des Biomasses à l’échelle de l'Ile de la Réunion) et sont toutes diffusées sur le catalogue de données spatiales du Cirad : https://geode.cirad.fr Cette fiche du Dataverse concerne les cartes produites, pour l'année 2017, en utilisant une mosaïque d'images Pléiades pour calculer la segmentation (extraction d'objets homogènes à partir de l'image). Nous utilisons une base de données terrain ayant une nomenclature emboitée avec 3 niveaux de précision nous permettant de produire une classification par niveau. Le niveau le plus détaillé distinguant les types de cultures présente une précision globale de 86% et un indice de Kappa est de 0,85. Le niveau 2, distinguant les groupes de cultures présente une précision globale de 92% et un indice de Kappa est de 0,90. Le niveau 1, distinguant les grands groupes d'occupation du sol présente une précision globale de 97% et un indice de Kappa est de 0,94. Une fiche détaillée présentant la méthode et les résultats de validation est téléchargeable.

Index of maps that show utilities in the public streets.