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Esri (Consumer Spending / Tapestry Business Analyst data) — Geographically modeled consumer expenditure estimates: Esri builds spending potential by product/service down to small-geography levels by modeling BLS Consumer Expenditure Survey microdata (Diary Survey plus five-wave Interview Survey, combining two survey years to stabilize thin samples) and calibrating against BEA Personal Consumption Expenditures, then projecting five years forward using demographic change. Outputs are total expenditures, average spending per household, and a Spending Potential Index (100 = national average) by i…
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Geographically modeled consumer expenditure estimates: Esri builds spending potential by product/service down to small-geography levels by modeling BLS Consumer Expenditure Survey microdata (Diary Survey plus five-wave Interview Survey, combining two survey years to stabilize thin samples) and calibrating against BEA Personal Consumption Expenditures, then projecting five years forward using demographic change. Outputs are total expenditures, average spending per household, and a Spending Potential Index (100 = national average) by item across retail, food-away-from-home, alcohol, school supplies and similar categories
From 30 yearsCoverage Information TechnologyAsset class Equities
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Esri (Consumer Spending / Tapestry Business Analyst data) — Geographically modeled consumer expenditure estimates: Esri builds spending potential by product/service down to small-geography levels by modeling BLS Consumer Expenditure Survey microdata (Diary Survey plus five-wave Interview Survey, combining two survey years to stabilize thin samples) and calibrating against BEA Personal Consumption Expenditures, then projecting five years forward using demographic change. Outputs are total expenditures, average spending per household, and a Spending Potential Index (100 = national average) by i…
Esri offers (Fundamental, Geospatial, Alternative) — Small by design: roughly a few hundred expenditure item categories x ~80,000+ block groups and other standard geographies x annual vintage, i.e. order 10^6-10^7 indexed values, delivered as annual releases (2023, 2024, 2025, 2026 methodology papers exist in this table's pool).
Trade-area and site-selection scoring; retail demand estimation and sales forecasting by territory; market-size budget allocation and quota setting; features for location-demand models (grocery, restaurant, QSR, pharmacy expansion); validation/benchmark layer for spend-prediction models; geographic ground-truth priors where no panel data exists
The data is with 30 years of history.
Coverage spans US; Application Software; fundamental, geospatial, alternative; equities.
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