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Estimated equivalent population using public supply groundwater in the conterminous United States, CEM

Metadata Updated: October 30, 2025

The population using public supply drinking water was mapped in two ways: the census enhanced method (CEM) evenly distributes the population across the census block-group, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations in order to more precisely locate public supply users. This dataset consists of the estimated population using public supply groundwater distributed across census block-groups.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date September 14, 2025
Metadata Updated Date October 30, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 14, 2025
Metadata Updated Date October 30, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-5fa1d0b8d34e198cb793ce85
Data Last Modified 2024-07-31T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 929f5404-7452-4eff-89b5-d9401f22ee8d
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -127.8904, 22.8719, -65.3218, 51.5817
Source Datajson Identifier True
Source Hash 2dee77130e8b4655aa0d66285ef10b4d06f9684d4f8168250ea9209575130763
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -127.8904, 22.8719, -127.8904, 51.5817, -65.3218, 51.5817, -65.3218, 22.8719, -127.8904, 22.8719}

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