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better decisions.

GSA

geospatialR/P1W

Inventory of Owned and Leased Properties (IOLP)

The Inventory of Owned and Leased Properties (IOLP) allows users to search properties owned and leased by the General Services Administration (GSA) across the United States, Puerto Rico, Guam and American Samoa. The Owned and Leased Data Sets include the following data except where noted below for Leases: - Location Code - GSA’s alphanumeric identifier for the building - Real Property Asset Name - Allows users to find information about a specific building - Installation Name - Allows users to identify whether a property is part of an installation, such as a campus - Owned or Leased - Indicates the building is federally owned (F) or leased (L) - GSA Region - GSA assigned region for building location - Street Address/City/State/Zip Code - Building address - Longitude and Latitude - Map coordinates of the building (only through .csv export) - Rentable Square Feet - Total rentable square feet in building - Available Square Feet - Vacant space in building - Construction Date (Owned Only) - Year built - Congressional District - Congressional District building is located - Senator/Representative/URL - Senator/Representative of the Congressional District and their URL - Building Status (Owned Only) - Indicates building is active - Lease Number (Leased Only) - GSA’s alphanumeric identifier for the lease - Lease Effective/Expiration Dates (Leased Only) - Date lease starts/expires - Real Property Asset Type - Identifies a property as land, building, or structure

BUILDING_STATUSCityLEASE_EFFECTIVE_DATELEASE_EXPIRATION_DATE

text/plain, application/vnd.openxmlformats-officedocument.spreadsheetml.sheetGeneral Services AdministrationOpen dataset →

DJ

geospatialR/P1M

Uniform Crime Reporting (UCR) Program

Federal Bureau of Investigation, Department of Justice - Extraction of crime related data from the FBI's Uniform Crime Reporting (UCR) Program

Crime in the United StatesLEOKALaw Enforcement Officers Killed and AssaultedNIBRS

Api, application/zipDepartment of JusticeOpen dataset →

USCB

geospatial

TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5)

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

NationPolygonZIP Code Tabulation AreaZCTA

ZIP, XML, text/htmlU.S. Census Bureau, Department of CommerceOpen dataset →

DA

geospatialR/P1Y

National Agriculture Imagery Program (NAIP) Imagery

The National Agriculture Imagery Program (NAIP) is administered by the U.S. Department of Agriculture's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch. NAIP acquires aerial imagery for the contiguous United States (CONUS) during the agricultural growing season, or leaf-on conditions and may contain as much as 10 percent cloud cover per tile. The images are orthorectified which combines the image characteristics of an aerial photograph with the georeferenced qualities of a map. NAIP acquisition from 2002-2017 was at a ground sample distance (GSD) of 1 or 2-meter. In 2018, the ground sample distance standard changed to 0.6 meter with the option for 0.3 meter. The 2025 acquisition consists of approximately half of the states delivered at 60cm and the other half at 30cm ground sample distance. The repeat flying cycle has also changed to no more than a 3-year cycle (generally every other year for most states) from its 5-year cycle back in 2003-2009. Each individual image tile is based on a 3.75-minute longitude by 3.75-minute latitude quarter quadrangle, originally with a 300-meter buffer on all four sides. In 2024 the buffer was changed to 12-meters on all four sides. Tiles in the NAIP collection are natural color (red, green, and blue bands) or color near infrared (red, green, blue, and near infrared bands).

Imagery ThemeNGDANGDA Imagery ThemeNGDAID106

application/xmlDepartment of AgricultureOpen dataset →

CS

geospatial

SDOT Collisions All Years

SDOT Collisions All Years is provided by SPD and recorded by Traffic Records. This feature includes all types of collisions and will display at the intersection or mid-block of a segment.<div><br /></div><div>Refresh Cycle: Daily Refresh</div><div><br /></div><div>Feature Class: SDOT.COLLSN_DET_PT</div><div><br /></div><div>Definition Query: None</div><div><br /></div><div><br /></div>

accidentsbicyclecollisionscollisions all years

text/csv, application/vnd.ms-excel, text/plain, application/zip, application/geopackage+sqlite3, appCity of SeattleOpen dataset →