Industry Density & Geographic Rollups | NAICS & SIC Counts by Geography
Industry Density & Geographic Rollups provide pre-aggregated counts and rollups by geography and industry level (NAICS and/or SIC). These files are built for heatmaps, whitespace modeling, territory planning, site selection, and portfolio analytics.
Outputs
Counts & rollups
Geographies
State / County / CBSA / ZIP
Industry depth
NAICS 2–6 (scope-based)
Use cases
Heatmaps & market sizing
What industry density files include
Density files summarize the number of establishments in an industry within a defined geographic unit. They are designed for fast analysis without requiring every establishment-level record.
- Industry key: NAICS (2–6 digit) and/or SIC (2–4 digit), plus industry title.
- Geographic key: state, county, metro/CBSA, ZIP (scope-based).
- Counts: establishment counts per industry/geography combination.
- Rollups: optional rollups from detailed codes to higher-level categories (sector/subsector).
- Documentation: data dictionary and delivery notes for consistent interpretation.
Supported geographies
Geographic layers can be provided at different resolutions depending on your mapping needs and analysis workflow.
Common geographic layers
- State: fast macro comparisons and regional reporting
- County: density maps and market sizing
- CBSA/Metro: comparable markets and metro rollups
- ZIP: local planning and target overlays (scope-based)
How teams use these layers
- GIS heatmaps: map density by county/ZIP
- Site selection: compare trade areas with standardized categories
- Territory planning: align sales regions to market density
- Portfolio segmentation: benchmark exposure by metro/region
Industry rollup levels (NAICS/SIC)
Rollups allow your analytics and mapping tools to display industry density at multiple levels, from high-level sectors to detailed industries.
| System | Levels commonly delivered | Why it matters |
|---|---|---|
| NAICS | 2, 3, 4, 5, 6 digit (scope-based) | Sector-level views plus drill-down to detailed segments |
| SIC | 2, 3, 4 digit (scope-based) | Legacy reporting continuity and historical comparisons |
| Crosswalk (optional) | NAICS ↔ SIC mapping references | Bridge datasets across legacy systems and modern analytics |
File formats (built for GIS & analytics)
Analyst-friendly formats
Useful for BI tools, spreadsheets, and quick internal analysis.
- CSV
- Excel
- Documentation notes + data dictionary
Pipeline-friendly outputs
Useful for ingestion into warehouses, GIS stacks, and scheduled refresh processes.
- Structured files suitable for ETL
- Consistent keys and field naming
- Version labeling for governance
Common enterprise use cases
- GIS heatmaps: show industry concentration by county/metro/ZIP.
- Whitespace models: identify under-served areas by category density and region.
- Site selection: benchmark candidate locations against comparable markets.
- Territory planning: align sales regions to industry presence and segment concentration.
- Portfolio exposure: quantify the industry makeup of a geographic footprint.
- Market sizing: estimate addressable market using standard code buckets.
Example schemas (representative)
Your final schema is defined during scoping. Below are representative examples used by GIS and analytics teams.
Example: County density (NAICS)
county_fips
county_name
naics_2 / naics_3 / naics_4 / naics_5 / naics_6
industry_title
establishment_count
report_year
dataset_version
Example: Metro/CBSA density (rollups)
cbsa_name
naics_level (2–6)
naics_code
industry_title
establishment_count
rollup_path (sector → subsector → group → industry)
report_year
dataset_version
QA & governance alignment
Density files are most useful when they are consistent, well-documented, and easy to reconcile across refresh cycles.
- Consistent keys: stable geography keys and industry codes for repeatable joins.
- Hierarchy-aware rollups: sector/subsector rollups reduce ambiguity in dashboards.
- Documentation included: data dictionary + version notes to support governance.
For trust and methodology references, see the Authority & Trust Hub.
FAQ
- What’s the difference between density files and establishment-level files?
Density files provide aggregated counts by geography and industry. Establishment-level files provide record-level locations. Density is best for mapping and market sizing; establishment-level is best for enrichment and detailed record workflows. - Can we get rollups at multiple NAICS levels?
Yes. Many teams request NAICS 2–6 level rollups so dashboards can switch between sector views and detailed industries. - Which geography level should we use for heatmaps?
County and CBSA are common for market sizing and comparable regions; ZIP is common for local planning. The best choice depends on your use case and performance requirements. - Do you support SIC rollups too?
Yes. SIC rollups can be included for legacy continuity and comparative reporting. - Do you provide a data dictionary?
Yes. Enterprise deliveries include field definitions and documentation notes. - Is this the same as a marketing list?
No. Density files are aggregated analytics outputs. If you need outreach lists, see Business Lists.
Request industry density files
Tell us your target geography level (state, county, CBSA/metro, ZIP) and the industry depth you need (NAICS 2–6 and/or SIC). We’ll recommend a density output package and delivery format for your mapping and analytics workflow.
Related resources
- Enterprise Industry Data & Mapping (Nationwide SIC/NAICS Classification Layer)
- NAICS/SIC Dataset Licensing (Enterprise Classification Data)
- Bulk Classification Overlay & Integration (Apply SIC/NAICS to Internal Records)
- Applied Data Services & Use Cases
- Authority & Trust Hub
Citation
Use this format if you need to cite this page in documentation or internal references.
Disclaimer: Final geographic layers, code depth, and schema depend on scope and governance requirements.
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