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Applied Geographic Solutions (AGS) — Block-group-level U.S. household expenditure and retail-demand database in three linked parts: (1) Consumer Expenditure — ~19 top-level categories down to 4-level hierarchical detail (e.g. Total → FB Food & Beverage → FB1 Food At Home → FB106 Dairy → FB10604 Cheese), 396 base variables, aggregate and per-household, current plus projected year; (2) Retail Potential — average-household and total market potential for 64 NAICS-defined retail store types; (3) Retail Gap — expenditure-minus-sales balance per area at 3/4/5-digit NAICS, signed as 'Leakage' (reside…
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Block-group-level U.S. household expenditure and retail-demand database in three linked parts: (1) Consumer Expenditure — ~19 top-level categories down to 4-level hierarchical detail (e.g. Total → FB Food & Beverage → FB1 Food At Home → FB106 Dairy → FB10604 Cheese), 396 base variables, aggregate and per-household, current plus projected year; (2) Retail Potential — average-household and total market potential for 64 NAICS-defined retail store types; (3) Retail Gap — expenditure-minus-sales balance per area at 3/4/5-digit NAICS, signed as 'Leakage' (residents spend elsewhere) or 'Surplus' (area imports outside shoppers). Built by pooling multi-year BLS Consumer Expenditure Survey rotating panels (~7,500 households/quarter) and aligning them to Census merchandise-line and retail-trade surveys, then demographically re-weighting down to block groups.
From 8 yearsCoverage Financials · Consumer DiscretionaryAsset class Equities
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Applied Geographic Solutions (AGS) — Block-group-level U.S. household expenditure and retail-demand database in three linked parts: (1) Consumer Expenditure — ~19 top-level categories down to 4-level hierarchical detail (e.g. Total → FB Food & Beverage → FB1 Food At Home → FB106 Dairy → FB10604 Cheese), 396 base variables, aggregate and per-household, current plus projected year; (2) Retail Potential — average-household and total market potential for 64 NAICS-defined retail store types; (3) Retail Gap — expenditure-minus-sales balance per area at 3/4/5-digit NAICS, signed as 'Leakage' (reside…
Appliedgeographic offers (Geospatial, Fundamental, Alternative) — 396 base expenditure variables × 64 retail store types × the full U.S. geographic hierarchy down to ~8 million block groups, plus 3/4/5-digit NAICS retail-gap measures and a projected forward year — so on the order of 10^7 to 10^8 derived cells per annual release.
Retail and franchise site selection and trade-area cannibalization analysis (the retail-gap leakage/surplus field is purpose-built for it); grocery and drug-store network planning; demand estimation and market-share analysis as the document states; municipal and tax-revenue retail-leakage studies; ML training labels for small-area consumption and household-spend estimation where survey microdata is too coarse; credit and utility service-area sizing.
The data is with 8 years of history.
Coverage spans US; Financial Exchanges & Data, Broadline Retail; geospatial, fundamental, alternative; equities.
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