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AIAN AI DATA INTELLIGENCE

AIAN homelands, in data an AI can't misread.

The AIAN AI Bundle integrates three authoritative federal datasets into a single AI-ready package built for American Indian and Alaska Native homelands. Questions that took weeks of multi-source data work take minutes, with full traceability to federal sources.

  • 1,238indicators
  • 1,215geographic units, including AIAN homelands
  • 3federal datasets in one package
  • 14years of longitudinal data
Map of tribal reservations across the western United States colored by median household income, beside a list of key measures for AIAN areas
Tract-level map of federal reservations: median household income

What's in the bundle

  • AIAN homelands

    American Community Survey

    802socioeconomic measures

    Income, poverty, employment, education, housing, demographics, veteran status, disability, language, and more.

    • U.S. Census Bureau
    • June 2025 release
  • AIAN homelands

    Social determinants of health

    392measures

    Social determinants of health measures resolved to AIAN homeland boundaries from ZIP-level data using a spatial overlap method.

    • AHRQ
  • AIAN homelands

    Modeled health estimates

    44health estimates

    Modeled estimates such as diabetes, obesity, smoking, mental distress, and physical inactivity, attributed to AIAN homelands.

    • CDC PLACES

Questions answerable in minutes

These used to take weeks of multi-source data work. With the bundle loaded into an AI environment, they take minutes, with full traceability to federal sources.

  • Which AIAN homelands have the highest combination of poverty, diabetes prevalence, and housing cost burden?
  • How does high-school completion relate to smoking prevalence across Northern Plains tribal geographies?
  • Which BEAD-eligible tribal areas combine high poverty, low internet access, and high population density?
  • What are the top five social risk factors for homelands in a given congressional district?

Who uses it

  • Tribal sovereignty
  • Broadband and telecom
  • Renewable energy and environmental justice
  • Population health
  • Federal grant writing
  • Banking, lending, and CRA
  • Insurance
  • Investment decisions
  • Clinical research
  • Economic development
  • Agriculture and food sovereignty
  • Housing
  • Education

Why it's AI-ready

Before this bundle, an analyst studying AIAN homelands had to prepare census files by hand, work with ZIP-code health files that don't follow tribal boundaries, and bring GIS expertise to attribute health estimates to reservations. The bundle does that work once, and builds in the rules that keep an AI from guessing.

AI-ready data carries its own instructions. Definitions come before the numbers, uncertainty travels with every value, and the rules against guessing are built into the data itself, so an AI system and a human analyst reach the same answer, and every figure traces back to its federal source. The bundle carries its own semantic layer: every measure comes with its definition, geography, and source, so an AI system reads it exactly as a person would.

Technical facts about the AIAN AI Bundle
PropertyValue
Total indicators1,238 (802 ACS, 392 AHRQ, 44 CDC PLACES)
Geographies1,215 units: AIAN homelands, states, congressional districts, and census regions and divisions
FormatParquet observation files, JSON metadata, reliability sidecars, and XLSX dimension tables
ACS vintageJune 2025 release
Health indicatorsMost recent AHRQ and CDC PLACES vintages
IntegritySHA-256 verified