This dataset delivers micro-level retail purchasing power estimates for small administrative units in the United States such as municipalities, neighborhoods, and other fine-grained government units. It includes per capita purchasing power, retail purchasing power allocations by product-line where available, household and population counts, and local indices versus national averages. The data is prepared for spatial analysis and mapping, enabling detailed site selection, local market segmentation, and granular retail potential modeling. Anonymization and quality controls are applied to ensure statistical reliability in smaller units, and sources and vintage are documented for transparency.

Key attributes include:

• Fine-grained administrative geography (municipality, neighborhood)

• Per capita purchasing power and local index values

• Retail purchasing power and product-line spending estimates

• Household and population counts with anonymization checks

• Spatial identifiers for mapping and local market segmentation

Value Summary:
Local planners, small-format retailers, and field sales teams can use micro administrative purchasing power to optimize local rollouts, hyperlocal marketing, and precise resource allocation. It addresses challenges in granular site selection and neighborhood-level demand estimation.