US Government & Community Facilities (HIFLD Open)
Every US public facility that matters for site-selection, logistics, insurance and civic research in ONE clean, stacked table - the copyleft-free (no OSM/ODbL) substitute for the SafeGraph/ScrapeHero POI packs. DHS's Homeland Infrastructure Foundation-Level Data (HIFLD) Open was the public-domain catalogue of national facility data; the portal was shut down in August 2025 and the whole open corpus preserved by SeerAI on Source Cooperative under CC-BY-4.0. A CURATED set of 11 clearly-public facility layers - fire/EMS stations, hospitals, public & private schools, colleges & universities, local law enforcement, prisons, nursing homes, VA medical facilities and dialysis centres - in one tidy long table: category (the layer), facility name, type, full street address, city, county, state, zip and lat/lon on every row. ~286k facilities across all 50 states + territories. Public buildings only - every contact-person, phone, email and owner column dropped, so no PII.
- Source
- HIFLD
- Licence
- Redistributable open data
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- ~286k US public facilities across 11 categories - one clean, stacked POI table
- Fire/EMS, hospitals, public & private schools, colleges, law enforcement, prisons, nursing homes, VA, dialysis
- Facility name, type, full street address, city, county, state, zip + lat/lon on every row
- The copyleft-free (no OSM/ODbL) alternative to SafeGraph/ScrapeHero POI packs
- Public buildings only - all contact-person / phone / email / owner columns dropped (no PII)
- CC-BY-4.0 (SeerAI HIFLD Archive) + underlying U.S. public domain - free commercial reuse & resale
- Source: HIFLD Open (U.S. DHS), archived by SeerAI on Source Cooperative
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| category | str | Facility layer / category (e.g. Hospital, Public School, Fire / EMS Station) | 100.0% | 11 |
| facility_id | str | Stable per-facility id (layer prefix + source OBJECTID) | 100.0% | 283,364 |
| facility_name | str | Facility name | 100.0% | 252,454 |
| facility_type | str | Facility sub-type / HIFLD TYPE code (where provided) | 81.4% | 32 |
| address | str | Street address | 100.0% | 263,655 |
| city | str | City | 100.0% | 31,224 |
| county | str | County (where provided) | 79.1% | 2,031 |
| state | str | US state / territory abbreviation | 100.0% | 59 |
| zip | str | 5-digit ZIP code | 99.8% | 31,114 |
| latitude | float | Latitude (decimal degrees) | 100.0% | 284,553 |
| longitude | float | Longitude (decimal degrees) | 100.0% | 284,737 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: HIFLD (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-government-facilities_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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