Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Gridded Soil Survey Geographic (gSSURGO-30) Database for the Conterminous United States - 30 meter

Metadata Updated: January 3, 2024

This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into a Conterminous US-wide extent, and adding a Conterminous US-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format.

The raster and vector map data have a Conterminous US-wide extent. The raster map data have a 30 meter cell size. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data.

The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria.

The Gridded SSURGO dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The raster map layer data can be readily combined with other national, regional, and local raster layers, e.g., National Land Cover Database (NLCD), the National Agricultural Statistics Service (NASS) Crop Data Layer, or the National Elevation Dataset (NED).

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Downloads & Resources

Dates

Metadata Created Date November 10, 2020
Metadata Updated Date January 3, 2024
Data Update Frequency R/P1Y

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date January 3, 2024
Publisher Natural Resources Conservation Service
Maintainer
Identifier NRCS0095
Data First Published 2021-10-01
Language en-US
Data Last Modified 2022-12-07
Rights true
Category geospatial
Public Access Level public
Data Update Frequency R/P1Y
Bureau Code 015:11
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Data Dictionary https://www.nrcs.usda.gov/resources/data-and-reports/ssurgo/stats2go-metadata
Data Dictionary Type text/html
Harvest Object Id b7f8f28a-ef71-4125-abb6-c8ac0acf97ae
Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
Harvest Source Title USDA JSON
Homepage URL https://www.nrcs.usda.gov/resources/data-and-reports/description-of-gridded-soil-survey-geographic-gssurgo-database
License https://www.usa.gov/publicdomain/label/1.0/
Metadata Type geospatial
Old Spatial United States, Territories, Commonwealths, Island Nations
Program Code 015:001
Publisher Hierarchy Natural Resources Conservation Service > Natural Resources Conservation Service
Source Datajson Identifier True
Source Hash 306b11a3664e352ec6c8f5a015ca307bbe5f08dd1a68d3e07e41a803df10152d
Source Schema Version 1.1
Spatial

Didn't find what you're looking for? Suggest a dataset here.