United States of America GIS data

Legal and Statistical Entities Web Map Service; January 1, 2010 vintage

Legal and Statistical Entities Web Map Service; January 1, 2010 vintage

Portions of nine rivers of exceptional quality and aesthetic character were designated as Kentucky Wild Rivers in 1972. Each Wild River is actually a linear corridor encompassing all visible land on each side of the river up to a distance of no more than 2,000 feet. The nine Wild River corridors comprise a total of 114 river miles and 26,961 acres of land. Each section of river is protected in a free flowing state and provides areas for the perpetuation of Kentucky’s wild fauna and flora as well as recreational opportunity. Regardless of ownership, which varies across each section, the Wild River Act sets forth certain restrictions of allowable activities to protect and preserve these areas for future generations. https://apps.legislature.ky.gov/law/statutes/chapter.aspx?id=37693 Onlink Url: https://ky.box.com/v/kymartian-wild-rivers

uav imagery by Ben Scholer, acquired 2025-07-24 to 2025-07-24, 4.8 cm per pixel, published on OpenAerialMap.

Municipalities boundaries for Flagler County, FL. Included municipalities are the City of Bunnell, the City of Palm Coast, the City of Flagler Beach, the Town of Marineland, and Unincorporated county

EnviroAtlas image service of HistAnnualTempMax for time slider

aircraft imagery by CM, acquired 2025-08-06 to 2025-08-06, 1.9 cm per pixel, published on OpenAerialMap.

uav imagery by NMFRD, acquired 2026-06-17 to 2026-06-17, 0.7 cm per pixel, published on OpenAerialMap.

ACS 2025 Legal and Statistical Entities Web Map Service; January 1, 2025 vintage

ACS 2023 Legal and Statistical Entities Web Map Service; January 1, 2023 vintage

Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Center Line Ties are used primarily by engineering surveyors to locate the centers of streets, typically at intersections. These are necessary for private development projects, improvements in the public right-of-way, and tract/parcel maps.

Records fictitious business name filings, with each point giving the business name, street address, city and state, ZIP, phone, owner, ownership type, date filed, expiration date and record status. Sample records are in Galt, Sacramento and Citrus Heights, California. Published by SCGISAdmin.

uav imagery by DSHQ, acquired 2025-05-28 to 2025-05-28, 5.0 cm per pixel, published on OpenAerialMap.

CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: 1) a statewide, best-available vegetation map (FVEG); 2) GIS data representing a species’ range; 3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at https://www.wildlife.ca.gov/Data/CWHR.

ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage

The Areas of Priority Mobility Need were identified from mapping overlap of several Safe and Equitable Mobility Criteria. The Priority Mobility Need areas are currently being reviewed to identify planned city or NCDOT projects, projects currently under construction or recently completed, and anticipated or active private development. This review will result in a refined list of areas from which preliminary project feasibility will be conducted to identify potential projects within each area.

This dataset contains label points for 2020 Census Public Use Microdata Areas (PUMAs) in the United States. Each feature represents a label for a PUMA, with a geographic identifier (GEOID) and a base name (BASENAME) that often includes place names. Published by the US Census Bureau.

This polygon dataset contains labels for Alaska Native Village Statistical Areas, published by the US Census Bureau. Each feature represents a statistical area, identified by its name in the NAME column, such as New Stuyahok ANVSA, Portage Creek ANVSA, and Togiak ANVSA. The data covers Alaska in the United States.

Overview This feature service provides detailed geographic data for evacuation zones within the City of Santa Monica. It is designed to support emergency management and public safety operations by clearly identifying areas designated for evacuation in the event of a hazard or emergency. Feature Layers Santa Monica Evacuation Zones: This layer represents the city's evacuation zones categorized by neighborhood and hazard priority areas. It includes proposed evacuation zones and the number of structures or units within each zone, aiding in planning and resource allocation. The layer also contains spatial measurements such as area and boundary lengths, useful for geographic analysis. Geographic Coverage The data specifically covers the City of Santa Monica, California, providing localized evacuation zone information integral to the city's emergency response framework. Use Cases Supporting emergency evacuation planning and coordination efforts. Facilitating hazard risk assessment and prioritization in affected neighborhoods. Assisting public safety agencies in resource distribution and operational readiness.

This dataset contains label points for 2020 Census ZIP Code Tabulation Areas in the United States. Each feature represents a label for a ZIP Code Tabulation Area, with a geographic identifier (GEOID) and a base name (BASENAME) that is the ZIP code. Published by the US Census Bureau.

Polygon features representing current census blocks, the smallest geographic units used by the US Census Bureau. Each row is one block, identified by a GEOID and state, county, tract, block group and block codes, with land and water area and centre coordinates. Published by the US Census Bureau for the United States.

Vector label features for planning regions, published by the US Census Bureau. Each feature has a geographic identifier, a region code, and a name such as Aguadilla, Mayagüez, or Arecibo in Puerto Rico.

Boundary features labeling 2000 State Legislative Districts - Lower in the United States, published by the US Census Bureau. Each feature represents one lower state legislative district, with columns for district code, geographic identifier, housing unit count, and population count.

111th Congressional Districts (Labels) is a vector dataset published by the US Census Bureau. Each feature represents a labeled congressional district for the 111th Congress, with attributes including GEOID, district number, housing unit count, and population count. The data covers the United States of America.

Labels for linear hydrography features in the United States, published by the US Census Bureau. Each feature represents a linear water feature and includes attributes such as name, order number, and landmark name.

Labels for combined New England city and town areas, published by the US Census Bureau. Each feature represents a combined area, with the BASENAME column giving its name, such as Boston-Worcester-Providence, MA-RI-NH-CT-ME.

Urban area labels from the 2020 Census, published by the US Census Bureau. Each feature represents an urban area, with BASENAME giving the area name, and POP100 and HU100 providing the population and housing unit counts.

This vector dataset contains labels for Tribal Subdivisions, published by the US Census Bureau. Each feature represents a subdivision, identified by its name in the BASENAME column, such as Red Valley, Rock Point, and Rough Rock. The data covers the United States.

ZIP Code Tabulation Areas (ZCTAs) with labels. Each row represents a ZCTA with attributes for ZIP code, population, housing unit count, and geometry measures. Published by the US Census Bureau for the United States.

Areal hydrography features representing water bodies such as lakes, ponds, and reservoirs. Each row is a polygon with attributes for name, area, and centroid coordinates. Published by the US Census Bureau for the United States.

This data product contains raster data depicting the spatial distribution of forest ownership types in the conterminous United States circa 2020. The data are a modeled representation of forest land by ownership type, and include three types of public ownership: federal, state, and local, as well as three types of private: family (includes individuals and families), corporate, and other private (includes conservation and natural resource organizations, unincorporated partnerships and associations, and Native American tribal lands).

EnviroAtlas image service of HistSummerPET for time slider

EnviroAtlas image service of HistSpringTempMin for time slider

The location of water tanks for public water systems in the Commonwealth of Kentucky. A water tank is a feature that is used for water storage in a distribution system or at a water treatment plant.

EnviroAtlas image service of HistSpringTempMax for time slider