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National Wetlands Inventory

The US National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics, and distribution of US wetlands. The US Fish and Wildlife Service (FWS) is the principal US Federal agency tasked with providing information to the public on the status and trends of our Nation's wetlands. Wetlands provide a multitude of ecological, economic and social benefits.

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What's in it

Data offered docs-verified
wetlands (per-state layers) · WETLAND_TYPE field · Shape_Area field · historic_wetlands · riparian · hu8_boundary · state_boundary · metadata
Coverage docs-verified
United States (51 state-level parquet files)
Formats docs-verified
GeoParquet · Parquet
Access docs-verified
Public, no credentials shown; HTTPS and S3 (AWS CLI) access. Licence not stated in DOCS.

Useful for

Use cases llm-inferred
FRA baseline: wetland and riparian polygons near a US site for constraints screening · Wetland area and type summary by state for an ecological baseline · Wetland and riparian overlap check for a US environmental assessment
Audience llm-inferred
environmental consultants · ecologists · GIS analysts · hydrologists

Limitations

Constraints llm-inferred
US only; no UK coverage · Third-party copy of the FWS National Wetlands Inventory, not the original source · Licence not stated in DOCS; check the product README · No state name field; state must be derived from the filename · Full national queries take about 3 minutes · Parquet files total 75.8 GB · No update frequency or source vintage stated; copy last updated 21 Aug 2025 · No spatial resolution stated
Licence
see product README
Authentication
Public; anonymous HTTPS/S3 access via data.source.coop
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
14/10/2026
Page health
page reachable
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Verified via Source Cooperative API /api/v1/products/giswqs (public product, updated 2025-08-21).

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (source.coop)