Professional-grade input-output modeling powered by Bureau of Economic Analysis data. Build your analysis in minutes, not months.
Built on peer-reviewed methodology with transparent, reproducible results.
Full Leontief input-output model constructed from the BEA 2024 Use table at the summary level. Captures direct, indirect, and induced effects across all industry sectors.
Select individual counties, multi-county regions, or pre-defined metropolitan statistical areas. Over 3,000 counties and 80+ MSAs available.
National model regionalized using the Flegg Location Quotient method with BLS QCEW county-level employment data (2024 annual averages).
Uncertainty quantification via Monte Carlo simulation — vary key parameters simultaneously to produce 90% confidence intervals on all estimates.
Professional Word and PDF documents with executive summary, methodology, county maps, industry tables, and tax revenue estimates. Ready for board presentations.
National model validated against BEA's published Total Requirements table, achieving 0.970 Pearson correlation across all matrix elements.
From region selection to downloadable report in under 10 minutes.
Choose a metropolitan area or build a custom multi-county region from any U.S. state.
Use built-in templates (hospital expansion, manufacturing, WFH impact) or enter custom industry shocks.
The model computes multipliers, jobs, value added, labor income, and tax revenue in seconds.
Export professional Word, PDF, or CSV reports with full methodology and Monte Carlo results.
The model constructs the direct requirements matrix from BEA's 2024 Use table and computes the Leontief inverse L = (I - A)⁻¹ to capture the infinite series of supply chain transactions.
Households are endogenized via a Social Accounting Matrix (SAM) augmentation to capture induced effects — the consumer spending that ripples through the economy when workers earn income.
Regional trade patterns are estimated using the Flegg LQ method (Flegg and Webber, 2000), calibrated from county-level BLS employment data. This determines what share of each industry's inputs are sourced locally versus imported.
Built on the framework described in Miller and Blair (2022), Input-Output Analysis: Foundations and Extensions, 3rd Edition — the standard graduate-level reference for I-O modeling.
Economic impact analysis for consultants, developers, and public sector agencies.
Quantify the regional impact of new employers, facility expansions, or industry attraction programs for EDO board presentations.
Support entitlements and community benefit agreements with data-driven impact estimates for new developments.
Demonstrate the economic footprint of hospitals, medical centers, and healthcare workforce investments.
Analyze tax revenue effects of policy changes, workforce shifts, or public infrastructure investments.
Quantify the community impact of lending portfolios, branch operations, and community reinvestment activities.
Produce client-ready reports with professional formatting, full methodology, and Monte Carlo uncertainty analysis.
Professional-grade results without the enterprise price tag.
| Feature | SpillOver.io | IMPLAN | RIMS II |
|---|---|---|---|
| Annual cost | $149 per analysis | Starting ~$10,000/year | $275 per region |
| Free exploration | ✓ Full app access | ✗ Paywall | ✗ Paywall |
| Monte Carlo CI | ✓ Built-in | ✗ Not available | ✗ Not available |
| Report generation | ✓ Word, PDF, CSV | ✓ CSV export | ✗ Tables only |
| Methodology | Leontief + SAM + FLQ | Leontief + SAM | BEA multipliers |
| Data source | BEA 2024 + BLS QCEW | BEA + proprietary | BEA |
| Training required | None — web-based | Certification recommended | Manual calculations |
Comparison based on publicly available information as of March 2026. Pricing and features may vary.
Explore the full platform free. Pay only when you need to download reports.
SpillOver.io uses a Leontief input-output model constructed from the Bureau of Economic Analysis 2024 Use table (71 industries). The national model is regionalized using Flegg Location Quotients calibrated from BLS Quarterly Census of Employment and Wages data. Households are endogenized via a Social Accounting Matrix for induced effects.
SpillOver.io uses the same core Leontief framework as IMPLAN but with different data sources and regionalization. IMPLAN uses proprietary data and SAM accounts; SpillOver.io uses publicly available BEA and BLS data with Flegg LQ regionalization. SpillOver.io also includes Monte Carlo uncertainty analysis, which IMPLAN does not offer.
Any U.S. county (3,075+ counties across all 50 states) or metropolitan statistical area (80+ pre-defined MSAs). You can also build custom multi-county regions by selecting individual counties.
Yes — you can explore the full platform, build regional models, run scenarios, and view results without creating an account or paying anything. Payment ($149) is only required to download Word, PDF, and CSV report files.
Professional Word and PDF documents containing: executive summary with pre-written narrative, county map, regional economic profile, scenario description, full methodology section, impact results tables with narrative interpretation, tax revenue estimates, top 20 industries table, and Monte Carlo analysis (if run). Reports are formatted for client presentations and board meetings.
Yes. SpillOver.io supports both positive scenarios (new investments, expansions) and negative scenarios (plant closures, remote work displacement, industry contraction). Negative scenarios show job losses, reduced output, and diminished tax revenue with appropriate narrative language throughout the report.
Free to explore. No account required. Results in minutes.
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