datasets overview.
a reference for every public dataset hosted in point luna’s bigquery — what’s in it, where it came from, and how to join it. organized by country; coverage today is the united states, with more on the way.
United States
us_corporatecorporates&p 500, corporate & private foundationsus_demographicsdemographicsacs, decennial censusus_economyeconomylabor, gdp, incomeus_educationeducationus_electionselectionsus_energyenergyus_environmentenvironmentair quality (pm2.5, ozone)us_healthhealthmortality, rankings, accessus_housinghousingprices, affordability, unitsus_immigrationimmigrationus_social_contextsocial contextsocial capital, incarceration, mobilityus_dimensiondimensionscanonical reference geographies & lookups
conventions
house style
naming
tables are domain.table_name. ids end in _id and join across tables. dates are utc.
geo grain
canonical levels are block · zip · county · msa · state. cross-grain joins go through dim.crosswalk_*.
missing values
empty strings and null both mean “not provided”. the docs treat them identically.
reliability tier
aofficial enumeration or censusbderived, modeled, or restrictedcexperimental or community-contributed
last updated · Jul 7, 2026source · pointluna-data