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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
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