Regional Demand Density Dataset
Region, geography level, topic, source, demand value, population basis, density, and verification fields for comparable local research.
FormatsCSV / JSON / XLSX / PDF
RefreshQuarterly review
Version1.1
VerifiedSeptember 20, 2026
Regional comparisons fall apart when one row describes a city, another describes a county, and neither shows the denominator. This specification makes geography level and normalization part of the record.
The raw value remains beside the density calculation so another analyst can verify the math or use a different denominator.
Designed For
- regional demand comparisons
- market prioritization research
- geographic normalization
- location-based reporting
Coverage
Record unitOne topic and region observation
GeographyDeclared level required for every row
NormalizationPopulation or other denominator stored beside density
Time fieldMeasurement window and last verified date
Field Dictionary
Schema Preview
| Field | Type | Description | Example |
|---|---|---|---|
region | string | Named geographic unit | Duval County, Florida |
geography_level | enum | Comparable region type | county |
raw_demand | decimal | Source-specific demand value | 840 |
population_basis | integer | Declared normalization denominator | 1030000 |
demand_per_100k | decimal | Normalized density measure | 81.55 |
Illustrative Rows
Illustrative Regional Density Records
| region | geography_level | raw_demand | population_basis | demand_per_100k |
|---|---|---|---|---|
| Duval County, Florida | county | 840 | 1030000 | 81.55 |
| Orange County, Florida | county | 1060 | 1470000 | 72.11 |
Values are illustrative. A production density record requires the source, denominator year, topic, and time window.
Collection And Preparation
- Record region name, geography level, and source identifier before calculating density.
- Keep the raw demand value beside the normalized density value.
- Store the denominator source and year with population-based calculations.
- Compare regions only when topic, source, geography level, and time window match.
Known Limits
- Density depends on the selected denominator and its source year.
- Regions with different geography levels should not be compared directly.
- Digital demand is not the same as purchases, population need, or service capacity.
- Illustrative rows demonstrate structure only.
Useful Applications
- normalize demand by population
- compare matching geography levels
- map regional topic density
- document local data coverage
Change Log
- Added normalization rules, field dictionary, illustrative rows, methods, and limits.