About IndustryStat
Market risk intelligence built on federal data, not opinions.
What We Do
IndustryStat scores and ranks every U.S. state market across ten major industries: Construction, Healthcare, Retail, Accommodation & Food Services, Professional Services, Finance & Insurance, Real Estate, Administrative Services, Information, and Other Services. Each state gets a composite Entry Risk Score (0-100) combining five normalized metrics: firm retention, growth momentum, market volatility, establishment density, and wage pressure.
The result is 510 state-industry profiles. Each one tells you the specific risk conditions a new business would face in that market, backed by numbers, not guesswork.
How the Score Works
Each state-industry pair gets a composite Entry Risk Score from 0 (lowest risk) to 100 (highest). The score combines five normalized metrics, each scored 0-100 within its industry:
| Metric | Constr. | Health | Retail | Accomm. | Prof. | Finance | Real Est. | Admin | Info. | Other |
|---|---|---|---|---|---|---|---|---|---|---|
| Firm Retention | 30% | 35% | 25% | 35% | 25% | 30% | 25% | 30% | 25% | 30% |
| Growth Momentum | 15% | 20% | 25% | 15% | 25% | 20% | 15% | 20% | 25% | 20% |
| Market Volatility | 25% | 10% | 15% | 15% | 10% | 10% | 25% | 15% | 20% | 15% |
| Establishment Density | 10% | 20% | 20% | 20% | 15% | 15% | 20% | 10% | 10% | 20% |
| Wage Pressure | 20% | 15% | 15% | 15% | 25% | 25% | 15% | 25% | 20% | 15% |
Weights differ by industry because risk factors differ. Construction is cyclical and labor-heavy, so volatility and wage pressure carry more weight. Healthcare is stable but saturated, so retention and density matter more. Professional services compete on talent, so wages and momentum dominate.
Retention and momentum are inverted before weighting (higher retention = lower risk contribution). Volatility, density, and wage pressure contribute directly. All scores are relative within each industry and not comparable across sectors. Full formulas and normalization logic are on the methodology page.
Where the Data Comes From
Every number on this site traces back to two federal statistical programs:
- Business Dynamics Statistics (BDS) from the U.S. Census Bureau. Firm-level entry, exit, and survival rates going back decades. This powers our firm retention and momentum metrics.
- Quarterly Census of Employment and Wages (QCEW) from the Bureau of Labor Statistics. Establishment counts, employment, and wage data updated quarterly. This drives our saturation, wage pressure, and volatility calculations.
- Population Estimates Program from the Census Bureau. State population figures used for per-capita normalization.
Raw data goes through a documented ETL pipeline: PostgreSQL storage, Python-based computation, JSON export, and Astro static site generation. No black boxes. See our data sources and full methodology for exact formulas and thresholds.
Why We Built This
Founders making location decisions shouldn't have to dig through BLS spreadsheets or pay $500/month for a commercial database. The federal data is public. The math isn't hard. What was missing was a clean interface that puts it all together at the state-industry level.
IndustryStat fills that gap. One score, one rank, per state, per industry. No sales pitch, no gated reports. Just the numbers.
Who's Behind This
IndustryStat is built and maintained by Basrican Sen, a computer engineer with 14 years of experience building software for data-intensive applications. Same person behind NPIScan, which indexes 9M+ healthcare provider records from the federal NPPES database.
Both projects share the same premise: public federal data is underused because it's hard to access. IndustryStat takes Census Bureau and BLS datasets that most people would never open and turns them into scores founders can actually act on.
Coverage
Data Freshness
All scores are recomputed and the entire site is rebuilt when new source data is released. No manual adjustments, no editorial overrides.
Cite This Data
Journalists, researchers, and analysts can reference IndustryStat scores with attribution. Link to the relevant industry or state page. Example citation:
"Entry Risk Score for Construction in Texas: 38.2 (Moderate). Source: IndustryStat, industrystat.com/industry/construction/texas, February 2026."
Need a specific data point or context for a story? Email [email protected].