What is Land Parcel Data?

Land parcel data refers to a collection of spatially referenced information about individual land parcels or lots within a specified area. It includes attributes such as parcel ID, owner information, legal descriptions, acreage, zoning classifications, tax assessments, and geographic coordinates. This data is typically sourced from government agencies, cadastral surveys, and private entities, then compiled and organized into a structured dataset suitable for analysis and visualization.

Land Parcel Data Details:

• 157 Million nationwide parcel records and geometries
• Approximately 100 attributes (standard schema)
• Tax assessment fields
• Universal parcel ID
• Monthly rolling updates
• Standardized land use codes
• USPS validated address data with residential property & vacancy indicators
• Building counts & footprint square footage attributes
• Right-of-way (ROW) parcel indicator
• Placekey - Location identifier
• Flood zones and school districts
• Homesteads exemption
  • Crop data layer fields
  • Public access status

An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. Metadata

Public Land Survey SystemThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Land Management data, displays the Public Land Survey System (PLSS) in the United States. Per BLM, "The BLM is required to perform cadastral surveys on all federal interest and Indian lands. As part of survey work, the BLM maintains an essential land grid, known as the rectangular survey system or Public Land Survey System (PLSS), which is the basis for identifying legal descriptions of land parcels."PLSS Township 7N 22EData downloaded: October 17, 2023Data source: BLM National Public Land Survey System PolygonsNGDAID: 10 (BLM National PLSS Public Land Survey System Polygons)OGC API Features Link: (Public_Land_Survey_System - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: About the Public Land Survey SystemSupport documentation: BLM National PLSS Public Land Survey System PolygonsFor feedback please contact: ArcGIScomNationalMaps@esri.comNGDA Data SetThis data set is part of the NGDA Cadastre Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cadastre is defined as the "past, current, and future rights and interests in real property including the spatial information necessary to describe geographic extents. Rights and interests are benefits or enjoyment in real property that can be conveyed, transferred, or otherwise allocated to another for economic remuneration. Rights and interests are recorded in land record documents. The spatial information necessary to describe geographic extents includes surveys and legal description frameworks such as the Public Land Survey System, as well as parcel-by-parcel surveys and descriptions. Does not include federal government or military facilities."For other NGDA Content: Esri Federal Datasets

A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area. Click this link for full metadata description: Metadata

Analysis of ‘Surface Ownership Parcels, detailed (Feature Layer)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ede03ecd-7dc9-4ea3-bbe3-5f5488c5ffe2 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. Metadata

--- Original source retains full ownership of the source dataset ---

Individual properties listed in the National Park Service's National Register of Historic Places for Lexington-Fayette County, Kentucky. The National Register of Historic Places is the official list of the Nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966, the National Park Service's National Register of Historic Places is part of a national program to coordinate and support public and private efforts to identify, evaluate, and protect America's historic and archeological resources.This GIS dataset was created by the LFUCG GIS Office on behalf of the LFUCG Division of Historic Preservation based on National Register nominations. Boundaries may contain an entire parcel or only a buffer around a specific building.The national register of historic places property boundary data layer is an integral part of the planning data in the Lexington-Fayette-Urban County Government Geographic Information System. This information is used by the Division of Planning in case review, enforcement, and long range planning. GIS data layers are accessed by personnel in most LFUCG divisions for basic applications such as viewing, querying, and map output production.

An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. Metadata

This web map created by the Colorado Governor's Office of Information Technology GIS team, serves as a basemap specific to the state of Colorado. The basemap includes general layers such as counties, municipalities, roads, waterbodies, state parks, national forests, national wilderness areas, and trails.Layers:Layer descriptions and sources can be found below. Layers have been modified to only represent features within Colorado and are not up to date. Layers last updated February 23, 2023. Colorado State Extent: Description: “This layer provides generalized boundaries for the 50 States and the District of Columbia.” Notes: This layer was filtered to only include the State of ColoradoSource: Esri Living Atlas USA States Generalized Boundaries Feature LayerState Wildlife Areas:Description: “This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.” Notes: The state wildlife areas layer in this basemap is filtered from the CPW Managed Properties (public access only) layer from this feature layer hosted in ArcGIS Online Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerMunicipal Boundaries:Description: "Boundaries data from the State Demography Office of Colorado Municipalities provided by the Department of Local Affairs (DOLA)"Source: Colorado Information Marketplace Municipal Boundaries in ColoradoCounties:Description: “This layer presents the USA 2020 Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia. It is updated annually as County (or County Equivalent) boundaries change. The geography is sources from US Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrology to add a detailed coastline for cartographic purposes. Geography last updated May 2022.” Notes: This layer was filtered to only include counties in the State of ColoradoSource: Esri USA Census Counties Feature LayerInterstates:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: Interstates are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointU.S. Highways:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: U.S. Highways are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointState Highways:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: State Highways are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointMajor Roads:Description: Authoritative data from the Colorado Department of Transportation representing major roads Source: Colorado Department of Transportation Major Roads REST EndpointLocal Roads:Description: Authoritative data from the Colorado Department of Transportation representing local roads Source: Colorado Department of Transportation Local Roads REST EndpointRail Lines:Description: Authoritative data from the Colorado Department of Transportation representing rail lines Source: Colorado Department of Transportation Rail Lines REST EndpointCOTREX Trails:Description: “The Colorado Trail System, now titled the Colorado Trail Explorer (COTREX), endeavors to map every trail in the state of Colorado. Currently their are nearly 40,000 miles of trails mapped. Trails come from a variety of sources (USFS, BLM, local parks & recreation departments, local governments). Responsibility for accuracy of the data rests with the source.These data were last updated on 2/5/2019” Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerNHD Waterbodies:Description: “The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.”Notes: This layer was filtered to only include waterbodies in the State of ColoradoSource: National Hydrography Dataset Plus Version 2.1 Feature LayerNHD Flowlines:Description: “The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.”Notes: This layer was filtered to only include flowline features in the State of ColoradoSource: National Hydrography Dataset Plus Version 2.1 Feature LayerState Parks:Description: “This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.” Notes: The state parks layer in this basemap is filtered from the CPW Managed Properties (public access only) layer from this feature layer Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerDenver Parks:Description: "This dataset should be used as a reference to locate parks, golf courses, and recreation centers managed by the Department of Parks and Recreation in the City and County of Denver. Data is based on parcel ownership and does not include other areas maintained by the department such as medians and parkways. The data should be used for planning and design purposes and cartographic purposes only."Source: City and County of Denver Parks REST EndpointNational Wilderness Areas:Description: “A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area.”Notes: This layer was filtered to only include National Wilderness Areas in the State of ColoradoSource: United States Department of Agriculture National Wilderness Areas REST EndpointNational Forests: Description: “A depiction of the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area.”Notes: This layer was filtered to only include National Forests in the State of ColoradoSource: United States Department of Agriculture Original Proclaimed National Forests REST Endpoint

The Terrestrial 30x30 Conserved Areas map layer was developed by the CA Nature working group, providing a statewide perspective on areas managed for the protection or enhancement of biodiversity. Understanding the spatial distribution and extent of these durably protected and managed areas is a vital aspect of tracking and achieving the “30x30” goal of conserving 30% of California's lands and waters by 2030.Terrestrial and Freshwater Data• The California Protected Areas Database (CPAD), developed and managed by GreenInfo Network, is the most comprehensive collection of data on open space in California. CPAD data consists of Holdings, a single parcel or small group of parcels, such that the spatial features of CPAD correspond to ownership boundaries. • The California Conservation Easement Database (CCED), managed by GreenInfo Network, aggregates data on lands with easements. Conservation Easements are legally recorded interests in land in which a landholder sells or relinquishes certain development rights to their land in perpetuity. Easements are often used to ensure that lands remain as open space, either as working farm or ranch lands, or areas for biodiversity protection. Easement restrictions typically remain with the land through changes in ownership. • The Protected Areas Database of the United States (PAD-US), hosted by the United States Geological Survey (USGS), is developed in coordination with multiple federal, state, and non-governmental organization (NGO) partners. PAD-US, through the Gap Analysis Project (GAP), uses a numerical coding system in which GAP codes 1 and 2 correspond to management strategies with explicit emphasis on protection and enhancement of biodiversity. PAD-US is not specifically aligned to parcel boundaries and as such, boundaries represented within it may not align with other data sources. • Numerous datasets representing designated boundaries for entities such as National Parks and Monuments, Wild and Scenic Rivers, Wilderness Areas, and others, were downloaded from publicly available sources, typically hosted by the managing agency.Methodology1. CPAD and CCED represent the most accurate location and ownership information for parcels in California which contribute to the preservation of open space and cultural and biological resources.2. Superunits are collections of parcels (Holdings) within CPAD which share a name, manager, and access policy. Most Superunits are also managed with a generally consistent strategy for biodiversity conservation. Examples of Superunits include Yosemite National Park, Giant Sequoia National Monument, and Anza-Borrego Desert State Park. 3. Some Superunits, such as those owned and managed by the Bureau of Land Management, U.S. Forest Service, or National Park Service , are intersected by one or more designations, each of which may have a distinct management emphasis with regards to biodiversity. Examples of such designations are Wilderness Areas, Wild and Scenic Rivers, or National Monuments.4. CPAD Superunits and CCED easements were intersected with all designation boundary files to create the operative spatial units for conservation analysis, henceforth 'Conservation Units,' which make up the Terrestrial 30x30 Conserved Areas map layer. Each easement was functionally considered to be a Superunit. 5. Each Conservation Unit was intersected with the PAD-US dataset in order to determine the management emphasis with respect to biodiversity, i.e., the GAP code. Because PAD-US is national in scope and not specifically parcel aligned with California assessors' surveys, a direct spatial extraction of GAP codes from PAD-US would leave tens of thousands of GAP code data slivers within the 30x30 Conserved Areas map. Consequently, a generalizing approach was adopted, such that any Conservation Unit with greater than 80% areal overlap with a single GAP code was uniformly assigned that code. Additionally, the total area of GAP codes 1 and 2 were summed for the remaining uncoded Conservation Units. If this sum was greater than 80% of the unit area, the Conservation Unit was coded as GAP 2. 6. Subsequent to this stage of analysis, certain Conservation Units remained uncoded, either due to the lack of a single GAP code (or combined GAP codes 1&2) overlapping 80% of the area, or because the area was not sufficiently represented in the PAD-US dataset. 7. These uncoded Conservation Units were then broken down into their constituent, finer resolution Holdings, which were then analyzed according to the above workflow. 8. Areas remaining uncoded following the two-step process of coding at the Superunit and then Holding levels were assigned a GAP code of 4. This is consistent with the definition of GAP Code 4: areas unknown to have a biodiversity management focus. 9. Greater than 90% of all areas in the Terrestrial 30x30 Conserved Areas map layer were GAP coded at the level of CPAD Superunits intersected by designation boundaries, the coarsest land units of analysis. By adopting these coarser analytical units, the Terrestrial 30X30 Conserved Areas map layer avoids hundreds of thousands of spatial slivers that result from intersecting designations with smaller, more numerous parcel records. In most cases, individual parcels reflect the management scenario and GAP status of the umbrella Superunit and other spatially coincident designations.Tracking Conserved AreasThe total acreage of conserved areas will increase as California works towards its 30x30 goal. Some changes will be due to shifts in legal protection designations or management status of specific lands and waters. However, shifts may also result from new data representing improvements in our understanding of existing biodiversity conservation efforts. The California Nature Project is expected to generate a great deal of excitement regarding the state's trajectory towards achieving the 30x30 goal. We also expect it to spark discussion about how to shape that trajectory, and how to strategize and optimize outcomes. We encourage landowners, managers, and stakeholders to investigate how their lands are represented in the Terrestrial 30X30 Conserved Areas Map Layer. This can be accomplished by using the Conserved Areas Explorer web application, developed by the CA Nature working group. Users can zoom into the locations they understand best and share their expertise with us to improve the data representing the status of conservation efforts at these sites. The Conserved Areas Explorer presents a tremendous opportunity to strengthen our existing data infrastructure and the channels of communication between land stewards and data curators, encouraging the transfer of knowledge and improving the quality of data. CPAD, CCED, and PAD-US are built from the ground up. Data is derived from available parcel information and submissions from those who own and manage the land. So better data starts with you. Do boundary lines require updating? Is the GAP code inconsistent with a Holding’s conservation status? If land under your care can be better represented in the Terrestrial 30X30 Conserved Areas map layer, please use this link to initiate a review. The results of these reviews will inform updates to the California Protected Areas Database, California Conservation Easement Database, and PAD-US as appropriate for incorporation into future updates to CA Nature and tracking progress to 30x30.

An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries.

This layer is a component of Gila Cliff Dwellings National Monument.

This map service provides layrs covering a variety of different datasets and themes for Gila Cliff Dwellings NM. It is meant to be consumed by internet mapping applications and for general reference. It is for internal NPS use only. Produced May 2015.

© Denver Service Center Planning Division, IMR Geographic Resources Division, Gila Cliff Dwellings National Monument

The dataset is an update of a feature class representing four different Pinelands boundaries in Southern New Jersey. It represents the Pinelands Preservation Area District and the Pinelands Protection Area as per the New Jersey Pinelands Protection Act of 1979 (P.L. 1979, Chapter 111, approved June 28, 1979), the Pinelands Comprehensive Management Plan area (N.J.S.A. 13:18A-1 et. seq.), and the Pinelands National Reserve boundary as per the National Parks and Recreation Act of 1978 (P.L. 95-625, Sec. 502). Originally the dataset was created manually by interpreting text documents which described the boundary lines and drafting this information onto mylar using USGS photo quads as a base. In 1994, the coverage was digitized and converted to New Jersey State Plane NAD 83 Feet. In 2002, the boundaries were adjusted to a seamless parcel layer. In 2014/15 the boundaries were adjusted to The State of New Jersey Composite of Parcels Data layer developed by the New Jersey Office of Information Technology and an updated Pinelands Management Area layer to make the lines coincidental where applicable. The composite parcel layer is "In work", so changes made in the composite parcel layer after the release of this data set will not be reflected in this version. The boundaries are intended to provide reasonable representation of the boundaries for planning purposes. They are not survey grade. The current geometry is not static and is prone to change. Downloaded March 2020

2010 parcel data supplied by Big Horn County.

© Big Horn County

This layer is a component of Little Bighorn Battlefield National Monument.

This map service provides layers covering a variety of different datasets and themes for the Little Bighorn Battlefield National Monument. It is meant to be consumed by internet mapping applications and for general reference. It is for internal NPS use only. Produced January, 2014.

© IMR Geographic Resources Division, Little Bighorn Battlefield National Monument

The Terrestrial 30x30 Conserved Areas map layer was developed by the CA Nature working group, providing a statewide perspective on areas managed for the protection or enhancement of biodiversity. Understanding the spatial distribution and extent of these durably protected and managed areas is a vital aspect of tracking and achieving the “30x30” goal of conserving 30% of California's lands and waters by 2030.

Terrestrial and Freshwater Data
• The California Protected Areas Database (CPAD), developed and managed by GreenInfo Network, is the most comprehensive collection of data on open space in California. CPAD data consists of Holdings, a single parcel or small group of parcels which comprise the spatial features of CPAD, generally corresponding to ownership boundaries.

• The California Conservation Easement Database (CCED), managed by GreenInfo Network, aggregates data on lands with easements. Conservation Easements are legally recorded interests in land in which a landholder sells or relinquishes certain development rights to their land in perpetuity.
Easements are often used to ensure that lands remain as open space, either as working farm or ranch lands, or areas for biodiversity protection. Easement restrictions typically remain with the land through changes in ownership.

•The Protected Areas Database of the United States (PAD-US), hosted by the United States Geological Survey (USGS), is developed in coordination with multiple federal, state, and non-governmental organization (NGO) partners. PAD-US, through the Gap Analysis Project (GAP), uses a numerical coding system in which GAP codes 1 and 2 correspond to management strategies with explicit emphasis on protection and enhancement of biodiversity. PAD-US is not specifically aligned to parcel boundaries and as such,
boundaries represented within it may not align with other data sources.

• Numerous datasets representing designated boundaries for entities such as
National Parks and Monuments, Wild and Scenic Rivers, Wilderness Areas,
and others, were downloaded from publicly available sources, typically
hosted by the managing agency.

Methodology
1.CPAD and CCED represent the most accurate location and ownership information for
parcels in California which contribute to the preservation of open space
and cultural and biological resources.

2. Superunits are collections of parcels (Holdings) within CPAD which share a name,
manager, and access policy. Most Superunits are also managed with a
generally consistent strategy for biodiversity conservation. Examples of
Superunits include Yosemite National Park, Giant Sequoia National
Monument, and Anza-Borrego Desert State Park.

3. Some Superunits, such as those owned and managed by the Bureau of Land
Management, U.S. Forest Service, or National Park Service , are
intersected by one or more designations, each of which may have a
distinct management emphasis with regards to biodiversity. Examples of
such designations are Wilderness Areas, Wild and Scenic Rivers, or
National Monuments.

4. CPAD Superunits and CCED easements were
intersected with all designation boundary files to create the operative
spatial units for conservation analysis, henceforth 'Conservation
Units,' which make up the Terrestrial 30x30 Conserved Areas map layer. Each easement was functionally considered to be a Superunit.

5. Each Conservation Unit was intersected with the PAD-US dataset in order to
determine the management emphasis with respect to biodiversity, i.e.,
the GAP code. Because PAD-US is national in scope and not specifically
parcel aligned with California assessors' surveys, a direct spatial
extraction of GAP codes from PAD-US would leave tens of thousands of GAP
code data slivers within the 30x30 Conserved Areas map. Consequently, a generalizing approach was adopted, such that any Conservation Unit with greater than 80% areal overlap with a single
GAP code was uniformly assigned that code. Additionally, the total area
of GAP codes 1 and 2 were summed for the remaining uncoded Conservation
Units. If this sum was greater than 80% of the unit area, the Conservation Unit was coded as GAP 2.

6.Subsequent to this stage of analysis, certain Conservation Units remained uncoded,
either due to the lack of a single GAP code (or combined GAP codes 1&2) overlapping 80% of the area, or because the area was not sufficiently represented in the PAD-US dataset.

7.These uncoded Conservation Units were then broken down into their
constituent, finer resolution Holdings, which were then analyzed
according to the above workflow.

8. Areas remaining uncoded following the two-step process of coding at the Superunit and
then Holding levels were assigned a GAP code of 4. This is consistent
with the definition of GAP Code 4: areas unknown to have a biodiversity
management focus.

9. Greater than 90% of all areas in the Terrestrial 30x30 Conserved
Areas map layer were GAP coded at the level of CPAD Superunits intersected by designation boundaries, the coarsest land units of analysis. By adopting these coarser analytical units, the Terrestrial 30X30 Conserved Areas map layer avoids hundreds of thousands of spatial slivers that result from intersecting designations with smaller, more numerous parcel records. In most cases, individual parcels reflect the management scenario and GAP status of the umbrella Superunit and other spatially coincident designations.

10. PAD-US is a principal data source for understanding the spatial distribution of GAP coded lands, but it is national in scope, and may not always be the most current source of data with respect to California holdings. GreenInfo Network, which develops and maintains the CPAD and CCED datasets, has taken a lead role in establishing communication with land stewards across California in order to make GAP attribution of these lands as current and accurate as possible. The tabular attribution of these datasets is analyzed in addition to PAD-US in order to understand whether a holding may be considered conserved.

Tracking Conserved Areas
The total acreage of conserved areas will increase as California works towards its 30x30 goal. Some changes will be due to shifts in legal protection designations or management status of specific lands and waters. However, shifts may also result from new data representing
improvements in our understanding of existing biodiversity conservation
efforts. The California Nature Project is expected to generate a great deal of excitement regarding the state's trajectory towards achieving the 30x30 goal. We also expect it to spark discussion about how to shape that trajectory, and how to strategize and optimize outcomes. We encourage landowners, managers, and stakeholders to investigate how their lands are represented in the Terrestrial 30X30 Conserved Areas Map Layer. This can be accomplished by using the Conserved Areas Explorer web application, developed by the CA Nature working group. Users can zoom into the locations they understand best and share their expertise with us to improve the data representing the status of conservation efforts at these sites. The Conserved Areas Explorer presents a tremendous opportunity to strengthen our existing data infrastructure and the channels of communication between land stewards and data curators, encouraging the transfer of knowledge and improving the quality of data.

CPAD, CCED, and PAD-US are built from the ground up. Data is derived from available parcel information and submissions from those who own and manage the land. So better data starts with you. Do boundary lines require updating? Is the GAP code inconsistent with a Holding’s conservation status? If land under your care can be better represented in the Terrestrial 30X30 Conserved Areas map layer, please use this link to initiate a review.The results of these reviews will inform updates to the California Protected Areas Database, California Conservation Easement Database, and PAD-US as appropriate for incorporation into future updates to CA Nature and tracking progress to 30x30.

Park Boundary polygons for Acadia National Park, Maine. Use attributes to distinguish between lands in fee-ownership, lands still to be acquired in fee-ownership in accordance with Public Law 99-420 or Public Law 97-335 (inholdings or acquisition parcels), or conservation easements. Conservation easement lands held by the NPS are still in private ownership and are generally not open to public access; please observe landowner rights. NOTE: for official land status information, please contact the NPS Lands Office. This layer is produced, maintained, and used by Acadia National Park for cartographic purposes because it fits well with other local data. It does not represent an official or surveyed boundary and should not be used for land transaction purposes. Lines representing the current fee-ownership boundary (approximate) for Acadia National Park. USERS PLEASE NOTE: Lines are considered estimates only and should not be used for transactions and/or legal descriptions, only for general depictions of land holdings. This data layer, for cartographic purposes, has been adjusted to match local municipal tax parcel maps which are of varying accuracy and may not match survey information where it exists. Data layers are provided in shapefile format.

The BD OCS GE is a vector database for the description of the land use of the entire metropolitan territory and overseas departments. It is a national repository, constituting a base, usable at national and local level. It contributes to the calculation of indicators requested by urban planning documents (PLU, SCoT). It is also compatible (as long as possible) with existing land cover layers. It is based on an open model separating soil cover and soil use (called 2-dimensional model) with precision based on large-scale referential (RGE®) and temporal coherence (a vintage concept) allowing updates to follow changes in space consumption. The BD OCS GE is constituted by administrative zones (set of municipalities, department or region) while ensuring geographical and thematic continuity at national level. Eventually, it will represent a continuous partition of the territory. Its production is based on existing data extracted from IGN’s internal databases as well as any other data that can be mobilised from national or local repositories (graphic parcel register, regional OCS, etc.). The BD OCS GE is based on the national nomenclature recommended by the National Geographic Information Council (CNIG), developed by the Centre for Studies and Expertise on Risks, Environment, Mobility and Planning (CEREMA), under the guidance of the Ministry of Ecology, Sustainable Development and Energy (MEDDE.DGALN). The GE OCS BD respects the national production recommendations that accompany the national nomenclature. It is based on an intermediate data layer, the national repository of the main networks constituting the “National Ossature”. It has four main functions: * ensuring geographical continuity between territories; * ensure reference geometry; * partition the territories in a homogeneous manner; * ensure spatial cohesion between scales of the territory. OPenIG makes available in shapefile format the OCS GE BD for Aveyron as well as the associated documentation. --https://www.openig.org/sites/default/files/logos_banniere/FDS_EUROPEEN_FEDER.JPG" alt="European ERDF SDF banner"> \—

IMPORTANT NOTE: As of June, 2024, the Department of Regional Planning revised this layer with updated field names and information from project specific surveys. See description below. OverviewThis layer identifies historic resources and their attributes located in unincorporated areas or on County owned land and listed, or in some cases eligible for listing, on the National, California and/or County registers. This information supports the County’s Historic Preservation Ordinance, Mills Act Program and CEQA. The LA County Planning"s Historic Preservation Programwebsiteis the central location for all things related to the Historic Preservation efforts in the County.Data Sources Built Environment Resource Directory (BERD) - The Built Environment Resources Directory (BERD) files provide information, organized by county, regarding non-archaeological resources in the Office of Historic Preservation’s (OHP) inventory, and more information can be foundhere.County Adopted Landmarks - these are identified in theCounty Register.County Proposed or Eligible Districts - not yet officially adopted.County Historic Context Statements, Historic Surveys and Preservation programs - these are identified on the Historic Preservation > Resourcessite.DRP - Energov - These are parcels with a Mills Act contract, but are not on any official register.State and National Registers - Landmarks or Districts listed on State and National registers. For more information, please visit the Historic Preservation Programsite.Cal Fire -Flags structures in unincorporated areas that have been damaged by major fires. Field Descriptions Name - Name of the site or district. Note that some of the names listed are generic, or they may not have a name at all.Description - A description of the site or district. Note that not all sites will have a detailed description.APN(s) - Parcel number of the site, or multiple parcel numbers if the site contains multiple parcels. Some sites are within right-of-ways and may not have a parcel number.Address or Location - an address or a description of the location.Year(s) Built - The year a structure was built. Not all built data is available, or may not be applicable.Status Code / Description - The status code and description for a site as established from the Office of Historic Preservation (OHP). For list, clickhere.Potential Themes - For a Historic Context Statement and Survey, themes are a way to categorize patterns of historical development. More information about this and of Historic Contexts and Surveys in general ishere.Architectural Style - Describes the architectural style of the buildings, where applicable.Source - Source agency or database of the site or district; source document of a Historic Context Statement / Survey.Source Date - The date the source material was extracted; date of a Historic Context Statement / Survey.Year Designated - The year a site or district was officially added to a County, State, or National Registry.Mills Act Contract - Whether a site is under a Mills Act contract which is an agreement between a property owner and a local government to preserve the historic resources on their property and receive property tax relief. More information from OHP ishere.Jurisdiction - Identifies whether the site or district is in a city or unincorporated area. Most of the sites in this layer will be in unincorporated areas, but, there are sites within cities that are official County Landmarks (like the Hollywood Bowl).City / Unincorporated Community - Identifies the city or community name of the site or district. See Jurisdiction note above for cities.Notes - Explanatory notes about a site - mostly references to the source materials.File Location (Hyperlink) - Hyperlinks to source materials.County Landmark / District Number - Identification number for the official LA County. More information ishere.County Designation Date - Date that a landmark or district was adopted. More information ishere.CA_TYPE / CA_NUM / CA_DATE - These are the official types, ID numbers, and dates for those sites in the California Registry. Visit the California Historical Resources pagehere.NALANDMARK / NA_TYPE / NA_NUM / NA_DATE - These are the official types, ID numbers, and dates for those sites in the National Registry. A link to the National Register of Historic Places ishere.Legend - These are the general categories of sites and districts that are used in the symbology of GIS-NET.Fire Damage -Flags sites that have structures that were damaged or destroyed from major fires with the following categories per Cal Fire: No Damage (sites within or near a fire perimeter that were not damaged by the fire listed);Affected (1 - 9% damage); Minor (10 - 25 % damage); Major (26 - 50% damage); Destroyed (over 50% damage); Inaccessible (site unable to be assessed)Fire Damage Notes -Lists the name of the fire, and flags those sites that have multiple structures with multiple damage categories. Last Updated: 7/17/25 for the rescission of the County Landmark, Henry Dart Greene House, which was destroyed in the Eaton Fire in January, 2025. NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite ofGIS Web Mapping Applications.

This is SCAG's 2019 Annual Land Use (ALU v. 2019.1) at the parcel-level, updated as of February 2021. This dataset has been modified to include additional attributes in order to feed SCAG's Housing Element Parcel Tool (HELPR), version 2.0. The dataset will be further reviewed and updated as additional information is released. Please refer to the tables below for data dictionary and SCAG’s land use classification. Field Name Data TypeField DescriptionPID19Text2019 SCAG’s parcel unique IDAPN19Text2019 Assessor’s parcel numberCOUNTYTextCounty name (based on 2016 county boundary)COUNTY_IDDoubleCounty FIPS code (based on 2016 county boundary)CITYTextCity name (based on 2016 city boundary)CITY_IDDoubleCity FIPS code (based on 2016 city boundary)MULTIPARTShort IntegerMultipart feature (the number of multiple polygons; '1' = singlepart feature)STACKLong IntegerDuplicate geometry (the number of duplicate polygons; '0' = no duplicate polygons)ACRESDoubleParcel area (in acreage)GEOID20Text2020 Census Block Group GEOIDSLOPEShort IntegerSlope information1APN_DUPLong IntegerDuplicate APN (the number of multiple tax roll property records; '0' = no duplicate APN)IL_RATIODoubleRatio of improvement assessed value to land assessed valueLU19Text2019 existing land useLU19_SRCTextSource of 2019 existing land use2SCAGUID16Text2016 SCAG’s parcel unique IDAPNText2016 Assessor’s parcel numberCITY_GP_COText2016 Jurisdiction’s general plan land use designationSCAG_GP_COText2016 SCAG general plan land use codeSP_INDEXShort IntegerSpecific plan index ('0' = outside specific plan area; '1' = inside specific plan area)CITY_SP_COText2016 Jurisdiction’s specific plan land use designationSCAG_SP_COText2016 SCAG specific plan land use codeCITY_ZN_COText2016 Jurisdiction’s zoning codeSCAG_ZN_COText2016 SCAG zoning codeLU16Text2016 existing land useYEARLong IntegerDataset yearPUB_OWNShort IntegerPublic-owned land index ('1' = owned by public agency)PUB_NAMETextName of public agencyPUB_TYPETextType of public agency3BF_SQFTDoubleBuilding footprint area (in square feet)4BSF_NAMETextName of brownfield/superfund site5BSF_TYPETextType of brownfield/superfund site5FIREShort IntegerParcel intersects CalFire Very High Hazard Local Responsibility Areas or State Responsibility Areas (November 2020 version) (CalFIRE)SEARISE36Short IntegerParcel intersects with USGS Coastal Storm Modeling System (CoSMos)1 Meter Sea Level Rise inundation areas for Southern California (v3.0, Phase 2; 2018)SEARISE72Short IntegerParcel intersects with USGS Coastal Storm Modeling System (CoSMos)2 Meter Sea Level Rise inundation areas for Southern California (v3.0, Phase 2; 2018)FLOODShort IntegerParcel intersects with a FEMA 100 Year Flood Plain data from the Digital Flood Insurance Rate Map (DFIRM), obtained from Federal Emergency Management Agency (FEMA) in August 10, 2017EQUAKEShort IntegerParcel intersects with an Alquist-Priolo Earthquake Fault Zone (California Geological Survey; 2018) LIQUAFAShort IntegerParcel intersects with a Liquefaction Susceptibility Zone (California Geological Survey; 2016)LANDSLIDEShort IntegerParcel intersects with a Landslide Hazard Zone (California Geological Survey; 2016)CPADShort IntegerParcel intersects with a protected area from the California Protected Areas Database(CPAD) – www.calands.org (accessed April 2021)RIPARIANShort IntegerParcel centroid falls within Active River Areas(2010)or parcel intersects with a Wetland Area in the National Wetland Inventory(Version 2)WILDLIFEShort IntegerParcel intersects with wildlife habitat (US Fish & Wildlife ServiceCritical Habitat, Southern California Missing Linkages, Natural Lands & Habitat Corridors from Connect SoCal, CEHC Essential Connectivity Areas,Critical Coastal Habitats)CNDDBShort IntegerThe California Natural Diversity Database (CNDDB)includes the status and locations of rare plants and animals in California. Parcels that overlap locations of rare plants and animals in California from the California Natural Diversity Database (CNDDB)have a greater likelihood of encountering special status plants and animals on the property, potentially leading to further legal requirements to allow development (California Department of Fish and Wildlife). Data accessed in October 2020. HCPRAShort IntegerParcel intersects Natural Community & Habitat Conservation Plans Reserve Designs from the Western Riverside MHSCP, Coachella Valley MHSCP, and the Orange County Central Coastal NCCP/HCP, as accessed in October 2020WETLANDShort IntegerParcel intersects a wetland or deepwater habitat as defined by the US Fish & Wildlife Service National Wetlands Inventory, Version 2. UAZShort IntegerParcel centroid lies within a Caltrans Adjusted Urbanized AreasUNBUILT_SFDoubleDifference between parcel area and building footprint area expressed in square feet.6GRCRY_1MIShort IntegerThe number of grocery stores within a 1-mile drive7HEALTH_1MIShort IntegerThe number of healthcare facilities within a 1-mile drive7OPENSP_1MIShort IntegerQuantity of open space (roughly corresponding to city blocks’ worth) within a 1-mile drive7TCAC_2021TextThe opportunity level based on the 2021 CA HCD/TCAC opportunity scores.HQTA45Short IntegerField takes a value of 1 if parcel centroid lies within a 2045 High-Quality Transit Area (HQTA)JOB_CTRShort IntegerField takes a value of 1 if parcel centroid lies within a job centerNMAShort IntegerField takes a value of 1 if parcel centroid lies within a neighborhood mobility area. ABS_CONSTRShort IntegerField takes a value of 1 if parcel centroid lies within an absolute constraint area. See the Sustainable Communities Strategy Technical Reportfor details.VAR_CONSTRShort IntegerField takes a value of 1 if parcel centroid lies within a variable constraint area. See the Sustainable Communities Strategy Technical Reportfor details.EJAShort IntegerField takes a value of 1 if parcel centroid lies within an Environmental Justice Area. See the Environmental Justice Technical Reportfor details.SB535Short IntegerField takes a value of 1 if parcel centroid lies within an SB535 Disadvantaged Community area. See the Environmental Justice Technical Reportfor details.COCShort IntegerField takes a value of 1 if parcel centroid lies within a Community of Concern See the Environmental Justice Technical Reportfor details.STATEShort IntegerThis field is a rudimentary estimate of which parcels have adequate physical space to accommodate a typical detached Accessory Dwelling Unit (ADU)8. SBShort IntegerIndex of ADU eligibility according to the setback reduction policy scenario (from 4 to 2 feet) (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SMShort IntegerIndex of ADU eligibility according to the small ADU policy scenario (from 800 to 600 square feet ADU) (1 = ADU eligible parcel, Null = Not ADU eligible parcel)PKShort IntegerIndex of ADU eligibility according to parking space exemption (200 square feet) policy scenario (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_SMShort IntegerIndex of ADU eligibility according to both the setback reduction and small ADU policy scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_PKShort IntegerIndex of ADU eligibility according to both the setback reduction and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SM_PKShort IntegerIndex of ADU eligibility according to both the small ADU policy and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_SM_PKShort IntegerIndex of ADU eligibility according to the setback reduction, small ADU, and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)1. Slope: '0' - 0~4 percent; '5' - 5~9 percent; '10' - 10~14 percent; '15' = 15~19 percent; '20' - 20~24 percent; '25' = 25 percent or greater.2. Source of 2019 existing land use: SCAG_REF- SCAG's regional geospatial datasets;ASSESSOR- Assessor's 2019 tax roll records; CPAD- California Protected Areas Database (version 2020a; accessed in September 2020); CSCD- California School Campus Database (version 2018; accessed in September 2020); FMMP- Farmland Mapping and Monitoring Program's Important Farmland GIS data (accessed in September 2020); MIRTA- U.S. Department of Defense's Military Installations, Ranges, and Training Areas GIS data (accessed in September 2020)3. Type of public agency includes federal, state, county, city, special district, school district, college/university, military.4. Based on 2019 building footprint data obtained from BuildingFootprintUSA (except that 2014 building footprint data was used for Imperial County). Please note that 2019 building footprint data does not cover the entire SCAG region (overlapped with 83% of parcels in the SCAG Region).5. Includes brownfield/superfund site whose address information are matched by SCAG rooftop address locator. Brownfield data was obtained from EPA's Assessment, Cleanup and Redevelopment Exchange System (ACRES) database, Cleanups in my community (CIMC), DTSC brownfield Memorandum of Agreement (MOA). Superfund site data was obtained from EPA's Superfund Enterprise Management System (SEMS) database.6. Parcels with a zero value for building footprint area are marked as NULL to indicate this field is not reliable.7. These values are intended as a rudimentary indicator of accessibility developed by SCAG using 2016 InfoUSA business establishment data and 2017 California Protected Areas data. See documentation for details.8. A detailed study conducted by Cal Poly Pomona (CPP) and available hereconducted an extensive review of state and local requirements and development trends for ADUs in the SCAG region and developed a baseline set of assumptions for estimating how many of a jurisdiction’s parcels could accommodate a detached ADU. Please note that these estimates (1) do not include attached or other types of ADUs such as garage conversions or Junior ADUs, and (2)

The four adjacent Outer Cape communities of Eastham, Truro, Provincetown, and Wellfleet have built an intermunicipal partnership to pursue a regional approach to shoreline management. This partnership promotes short- and long-term science-based decisions that will maximize the effectiveness and efficiency of community responses to the increased threat of coastal hazards. This shapefile is a product of that partnership, the Intermunicipal Shoreline Management Project, a project first initiated in 2019 with funding from CZM's Coastal Resilience Grant Program.Parcels with the future potential to accommodate salt marsh under a sea level rise scenario of 1 meter have been identified.Parcel selection and scoring was based on the following: 1. Parcel and suitable space contiguity 2. Ownership 3. Salt marsh adjacency 4. Total suitable area 5. Percentage of the parcel’s total area suitable for salt marsh migration In general parcels were scored relative to each other based on the percentage of the parcel’s total area suitable for salt marsh migration, a higher percentage resulted in a higher score. However, a few characteristics were considered to be highly desirable, resulting in the highest possible score regardless of relative percentage. All town, state, federal and conservation organization owned parcels were also removed, as this work primarily focuses on the identification of parcels for further review by municipal open space committees and local land trusts for future acquisitions planning. In total 229 parcels were identified: 93 in Eastham, 113 in Wellfleet, 23 in Truro and 0 in Provincetown. All suitable migration space in Provincetown was located within 3 parcels (federal and state owned), the majority in Cape Cod National Seashore. Please note the estimation of parcel area currently occupied by salt marsh was determined from the 'ISM Contemporary Salt Marsh Vegetation' layer. To locate possible parcels of interest a suitability base map was created to identify areas within the ISM planning area with the potential to accommodate salt marsh under a sea level rise scenario of 1 meter. The following criteria were considered: elevation, slope, connectivity and proximity to salt marsh and land cover.ElevationAreas with the future potential to accommodate salt marsh under a sea level rise scenario of 1 meter from current levels were identified and delineated based on an estimated suitable elevation range determined from the following generalized relationships between dominant salt marsh vegetation and tidal stage (Ayers, 1959; Redfield, 1972; Teal, 1986; Bertness, 1987; Bertness, 1991): Inland salt marsh boundary = MHHW + 2.5 ft Seaward salt marsh boundary = MHW – 2/3 MNThe current suitable elevation range for salt marsh within the ISM planning area was estimated to be -0.75 m (-2.46 ft) to 2.25 m (7.38 ft) NAVD88 (based on tidal profiles from Provincetown Harbor, Pamet Harbor, Wellfleet Harbor, Rock Harbor and Sesuit Harbor). To simulate 1 meter of sea level rise, both the upper and lower limits were adjusted by 1 meter. All areas with elevation values of 0.25 to 3.25 m were evaluated.SlopeSuitable slopes were determined based on Smith, 2020 and Kirwan et al., 2016, where the potential for marsh expansion generally decreases with increasing slope. Gentler slopes were most suitable (<1%), moderate slopes likely suitable (1-5%) and steeper slopes (>5%) less suitable. Severe slopes (>20%) were treated as unsuitable migration space. Connectivity and Proximity to Existing Salt MarshAreas were classified based on physical relationship and proximity to existing salt marsh and the presence of anthropogenic barriers (roads, parking lots, shoreline armoring, culverts) influencing salt marsh migration and then ranked accordingly. Areas with no hydrologic connection to existing salt marsh were treated as fragmented accommodation space and were designated as unsuitable.Land CoverWith no clear methodology for classifying land cover suitability for salt marsh migration (as demonstrated in Smith, 2020) general assumptions were made. The primary assumption reflects the concept that areas most suitable now (e.g., emergent wetlands) are more likely to be suitable in the future while the most uncertain transitions would be those dependent on forest retreat. Impervious area was classified as least suitable. Parcels The suitability base map was used to extract parcels intersecting the analysis area, and a series of operations were carried out to remove parcels selected due to noise in the data, parcels with minimal suitable space and parcels completely separated from other extracted parcels by topographic or anthropogenic barriers. Tax Parcel and assessor information was obtained from MassGIS Data: Property Tax Parcels (M086TaxPar last updated 4/2020, M242TaxPar last updated 6/2020, M300TaxPar last updated 11/2020, M318TaxPar last updated 2/2019). Please note a select number of parcels were designated as restoration parcels. These parcels currently contain large areas of mudflat and with increased deposition and/or human intervention could become more suitable in the future. Parcels designated as restoration parcels were not scored

IMPORTANT NOTE: As of June, 2024, the Department of Regional Planning revised this layer with updated field names and information from project specific surveys. See description below.OverviewThis layer identifies historic resources and their attributes located in unincorporated areas or on County owned land and listed, or in some cases eligible for listing, on the National, California and/or County registers. This information supports the County’s Historic Preservation Ordinance, Mills Act Program and CEQA. The LA County Planning"s Historic Preservation Programwebsiteis the central location for all things related to the Historic Preservation efforts in the County.Data SourcesBuilt Environment Resource Directory (BERD) - The Built Environment Resources Directory (BERD) files provide information, organized by county, regarding non-archaeological resources in the Office of Historic Preservation’s (OHP) inventory, and more information can be foundhere.County Adopted Landmarks - these are identified in theCounty Register.County Proposed or Eligible Districts - not yet officially adopted.County Historic Context Statements, Historic Surveys and Preservation programs - these are identified on the Historic Preservation > Resourcessite.DRP - Energov - These are parcels with a Mills Act contract, but are not on any official register.State and National Registers - Landmarks or Districts listed on State and National registers. For more information, please visit the Historic Preservation Programsite.Cal Fire -Flags structures in unincorporated areas that have been damaged by major fires.Field DescriptionsName - Name of the site or district. Note that some of the names listed are generic, or they may not have a name at all.Description - A description of the site or district. Note that not all sites will have a detailed description.APN(s) - Parcel number of the site, or multiple parcel numbers if the site contains multiple parcels. Some sites are within right-of-ways and may not have a parcel number.Address or Location - an address or a description of the location.Year(s) Built - The year a structure was built. Not all built data is available, or may not be applicable.Status Code / Description - The status code and description for a site as established from the Office of Historic Preservation (OHP). For list, clickhere.Potential Themes - For a Historic Context Statement and Survey, themes are a way to categorize patterns of historical development. More information about this and of Historic Contexts and Surveys in general ishere.Architectural Style - Describes the architectural style of the buildings, where applicable.Source - Source agency or database of the site or district; source document of a Historic Context Statement / Survey.Source Date - The date the source material was extracted; date of a Historic Context Statement / Survey.Year Designated - The year a site or district was officially added to a County, State, or National Registry.Mills Act Contract - Whether a site is under a Mills Act contract which is an agreement between a property owner and a local government to preserve the historic resources on their property and receive property tax relief. More information from OHP ishere.Jurisdiction - Identifies whether the site or district is in a city or unincorporated area. Most of the sites in this layer will be in unincorporated areas, but, there are sites within cities that are official County Landmarks (like the Hollywood Bowl).City / Unincorporated Community - Identifies the city or community name of the site or district. See Jurisdiction note above for cities.Notes - Explanatory notes about a site - mostly references to the source materials.File Location (Hyperlink) - Hyperlinks to source materials.County Landmark / District Number - Identification number for the official LA County. More information ishere.County Designation Date - Date that a landmark or district was adopted. More information ishere.CA_TYPE / CA_NUM / CA_DATE - These are the official types, ID numbers, and dates for those sites in the California Registry. Visit the California Historical Resources pagehere.NALANDMARK / NA_TYPE / NA_NUM / NA_DATE - These are the official types, ID numbers, and dates for those sites in the National Registry. A link to the National Register of Historic Places ishere.Legend - These are the general categories of sites and districts that are used in the symbology of GIS-NET.Fire Damage -Flags sites that have structures that were damaged or destroyed from major fires with the following categories per Cal Fire: No Damage (sites within or near a fire perimeter that were not damaged by the fire listed);Affected (1 - 9% damage); Minor (10 - 25 % damage); Major (26 - 50% damage); Destroyed (over 50% damage); Inaccessible (site unable to be assessed)Fire Damage Notes -Lists the name of the fire, and flags those sites that have multiple structures with multiple damage categories.Last Updated: 2/18/2025 - Added several historic resources and historic contact statement in Acton.1/27/25 - Added fields that flag sites that were damaged or destroyed by the Eaton Fire or Palisades Fire (using Cal fire data current as of 1/26/25)NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite ofGIS Web Mapping Applications.