United States

The United States Geolocation Data File is a fully structured, meticulously validated national dataset designed to support enterprise-grade geospatial architecture, high-resolution market intelligence, and advanced academic or policy research. Built from authoritative federal, state, and county-level sources, this dataset provides precise geolocation attributes for every recognized jurisdictional unit in the country, enabling organizations to integrate location-based intelligence into operational systems, analytics environments, and digital platforms with confidence.

Unlock the full potential of your projects with our comprehensive Geolocation Data File, meticulously curated to include geolocation data:

neighborhood (when available)
town | city | municipality
county | administrative area
state | province
country
latitude & longitude

For more information about our Personal Use and Commercial Use licenses visit here.

Developed for professionals who require verifiable, high-fidelity spatial data, the file contains standardized geographic coordinates, administrative boundaries, locality identifiers, and postal attributes essential for building modern, geolocation-dependent applications. Whether used for large-scale website architectures, multi-regional business deployments, regulatory compliance mapping, or public-interest research, this dataset serves as a foundational reference layer for accurate and interoperable location intelligence.

The following is a sample data set of only 50 locations.

New Woodville (Marshall County), Oklahoma

@ 33.9737689, -96.67739169

Locust Fork (Blount County), Alabama

@ 33.9075992, -86.6152685

Malta (DeKalb County), Illinois

@ 41.929751, -88.8609238

Sardis (Burke County), Georgia

@ 32.975157, -81.757613

Onsted (Lenawee County), Michigan

@ 42.0061554, -84.1899443

Glasgow (Barren County), Kentucky

@ 36.995884, -85.9119215

South Carthage (Smith County), Tennessee

@ 36.2419991, -85.9519317

Le Mars (Plymouth County), Iowa

@ 42.7941567, -96.1655778

Holly Springs (Cherokee County), Georgia

@ 34.1739857, -84.5013187

North Buena Vista (Clayton County), Iowa

@ 42.6797163, -90.9565172

Piney River (Nelson County), Virginia

@ 37.7051404, -79.0230808

Chinquapin (Duplin County), North Carolina

@ 34.8309998, -77.8163683

Henagar (DeKalb County), Alabama

@ 34.635084, -85.7671936

Clarkfield (Yellow Medicine County), Minnesota

@ 44.7905136, -95.8086388

Bokoshe (Le Flore County), Oklahoma

@ 35.1904335, -94.80956599

East Gaffney (Cherokee County), South Carolina

@ 35.080128, -81.6328743

Millington (Tuscola County), Michigan

@ 43.2814133, -83.5296774

Alberta (Stevens County), Minnesota

@ 45.573295, -96.0475549

Willow River (Pine County), Minnesota

@ 46.3182794, -92.8413116

Forkville (Scott County), Mississippi

@ 32.4606972, -89.6609065

Lupton (Ogemaw County), Michigan

@ 44.4311278, -84.0258299

Lake Dalecarlia (Lake County), Indiana

@ 41.3308691, -87.3947572

Menlo (Chattooga County), Georgia

@ 34.484808, -85.4763492

Green Valley (Pennington County), South Dakota

@ 44.0355437, -103.1112889

Estes (Aransas County), Texas

@ 27.9639094, -97.1002675

Mount Penn (Berks County), Pennsylvania

@ 40.3281484, -75.8907603

Rittman (Wayne County), Ohio

@ 40.9781103, -81.7820775

Lakeview (Catoosa County), Georgia

@ 34.9792419, -85.2588447

North Wilmington (Middlesex County), Massachusetts

@ 42.5695379, -71.1564446

Elsmore (Allen County), Kansas

@ 37.7944858, -95.1502554

Greenville (Piscataquis County), Maine

@ 45.4594907, -69.5906101

Carmel (De Soto County), Louisiana

@ 32.0873837, -93.6207349

Cedar Falls (King County), Washington

@ 47.4253806, -121.7767759

Nevada (Mercer County), Kentucky

@ 37.696463, -84.9096772

Crocker (Clark County), South Dakota

@ 45.1052371, -97.7848105

Sempronius (Cayuga County), New York

@ 42.7295134, -76.3152098

Castleberry (Conecuh County), Alabama

@ 31.2990599, -87.0224721

Asbury (Jasper County), Missouri

@ 37.2744997, -94.6055102

Peletier (Carteret County), North Carolina

@ 34.7301615, -77.0843934

Maxwell (Story County), Iowa

@ 41.8919322, -93.3996546

Skipton (Talbot County), Maryland

@ 38.8953917, -76.0588313

Almo (Cassia County), Idaho

@ 42.1001924, -113.6336192

Darbydale (Franklin County), Ohio

@ 39.8536731, -83.1829679

Chelatna Lodge (Matanuska-Susitna County), Alaska

@ 62.4344444, -151.4044444

Vernon (Apache County), Arizona

@ 34.2575429, -109.692878

Boyd (Chippewa County), Wisconsin

@ 44.9519088, -91.0348656

Milburn (Custer County), Nebraska

@ 41.7194473, -99.7312313

Jewell Junction (Hamilton County), Iowa

@ 42.3105346, -93.6399868

Pageland (Chesterfield County), South Carolina

@ 34.7732102, -80.3917315

Poway (San Diego County), California

@ 32.9628233, -117.0358646

Key use cases include:

• Website and Application Architecture — powering geolocation routing, content localization, service-area mapping, and region-specific digital experiences.

• Business and Market Operations — enabling territory analysis, logistics optimization, consumer segmentation, resource allocation, and regulatory or jurisdictional risk assessment.

• Research, Policy, and Academic Work — supporting demographic studies, spatial modeling, environmental mapping, and evidence-based public administration analysis.

Compiled using standards aligned with the GNIS, addressing conventions, and state-verified jurisdictional records, the United States Geolocation Data File provides a reliable and authoritative resource for any organization seeking to leverage geospatial precision in modern digital and operational environments.

United States

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