HERA — the Human Entity Reference Atlas — discovers, normalizes, and packages public census and human-geography data for every country on Earth. Aligned to DGIWG SEL and CCL, cross-walked to Overture Maps via stable GERS IDs. Official sources first. Every field preserved.
Every national statistics office publishes differently — APIs, PDFs, web tables, bulk downloads, restricted access. HERA handles all of it, and preserves every field along the way.
Primary data pulled directly from NSOs — Census Bureau, StatCan, ABS, ONS, IBGE, INEGI, INSEE, GUS, e-Stat, and more. Secondary sources (World Bank, WorldPop, DHS, MICS, HDX) supplement where needed.
If a country publishes at six admin levels, we create six tables — not one. 17 countries ingested at admin depth 3 or deeper: tract, ward, gmina, neighborhood.
Every field from every source is captured in the DatasetFieldInventory. If the DGIWG schema can't hold a field, an extension table does. Nothing is silently dropped.
Spatial/demographic data maps to DGIWG SEL; cultural/linguistic data to CCL. Admin boundaries and places cross-walk to Overture Maps via stable GERS IDs — every unit gets a persistent global identifier. ISO 19115 XML ships with every package.
CSV, Parquet, GeoJSON, Excel, and ISO 19115 metadata XML — every country package ships in every format, with provenance, QA reports, and licensing baked in.
3,309 US counties scored for 10 business types: hotels, casinos, dispensaries, restaurants, warehouses, and more. Weighted by tax environment, regulatory status, and pending legislation.
From population and housing to religion, language, migration, and health — HERA captures every thematic layer that matters for defense, development, and commercial decisions.
Age, sex, race, household composition, fertility, mortality.
Tenure, vacancy, rent burden, housing units, affordability.
Religious affiliation, practice, people groups, missions data.
ISO 639-3, genealogy, endangerment, speakers, literacy.
Ethnic groups, tribal affiliations, cultural practices, values.
Stocks, flows, remittances, refugees, IDPs, asylum seekers.
Employment, income, sector breakdown, wages, informality.
DHS indicators, UNESCO enrollment, literacy, attainment.
Interactive SEL/CCL world map. Drill into any country, inspect ingested admin levels, datasets, field inventory, and download packaged exports.
Rank every US county for hotels, casinos, dispensaries, restaurants, manufacturing, warehousing, and more. Tax friendliness, regulatory gates, and live legislation.
~50 commercial variables per county: vacancy, rent burden, MSA indicators, HUD income limits, BLS sector employment, FBI crime detail, RPP, and a 0–100 composite score.
District-level search, filters, and county rollups. Enrollment, demographics, and funding tied back to the commercial and site-selection layers.
Official NSO APIs wherever possible, bulk download and PDF extraction where needed, and secondary sources where primary data is restricted.
Whether you contribute to Overture Maps, build products on top of it, or license its data downstream, you get places, buildings, and administrative divisions — but no context about the people who live inside them. HERA is that context layer. We pull census, demographic, cultural, and linguistic data directly from national statistics offices across 216 live countries (with 216 configured and ingesting) and join every row to Overture using stable GERS (Global Entity Reference System) identifiers — the persistent UUIDs Overture assigns to every division so consumers can link datasets across releases without breaking joins.
If you're an Overture contributor, HERA is the enrichment layer your customers keep asking for. If you resell or redistribute Overture data, HERA is the value-add that lets you charge a premium. If you're building products on Overture — mapping, LBS, geo-AI, retail siting, logistics, risk — HERA is the fastest way to turn empty polygons into decision-ready rows. Building the 212-NSO pipeline in-house takes years of engineering across API, bulk, scrape, and PDF extraction paths. We've built the hard part. Plug us in.
Population, age, sex, households, housing, income, employment, education — pulled directly from US Census, StatCan, ABS, ONS, IBGE, INSEE, INEGI, GUS, e-Stat, and 30+ more. Joined to Overture division GERS IDs at every admin level the country publishes.
Overture stops at the physical world. HERA's CCL layer adds the cultural and linguistic dimensions: religious affiliation, 11,161 languages with genealogy and endangerment, 17,000+ ethnic people groups, refugee/IDP flows, and cultural values. A category Overture simply doesn't carry.
-- Enrich any Overture division with HERA census + CCL in a single join SELECT o.id -- Overture GERS ID (stable across releases), o.names.primary -- division name, x.country_code, x.admin_level, x.local_geoid, t.population_2020, t.median_household_income, t.total_housing_units, t.total_vacancy_rate_pct, t.pct_english_only, t.pct_spanish, t.pct_broadband FROM overture.divisions o JOIN hera.gers_crosswalk x ON x.gers_id = o.id JOIN hera.census_tables t ON t.id = x.census_table_id WHERE o.country = 'US' AND o.subtype = 'county'; -- gers_crosswalk: 3,311 USA county rows already loaded (release 2026-03-18.0) -- Same pattern extends to every country we ingest (216/216 live)
Every admin unit carries an Overture GERS crosswalk. Join on a single stable key — no fuzzy matching, no identifier drift across Overture releases.
Per-field source, license, and provenance in the DatasetFieldInventory. Licensed for commercial redistribution — no ODbL share-alike entanglement from your Overture pipeline.
Every country, every admin level, every field preserved. API, bulk download, web-scrape, and PDF ingestion — we already handle all of it. You get a single normalized feed.
Open the world map or jump straight into Site Selection. Everything runs locally against the catalog DB.