How Verified Data Supports Economic Research & Market Forecasting

Economic research depends on reliable, structured, and comparable data. Verified SIC and NAICS classifications provide the standardized foundation analysts and economists use to build accurate models, assess market health, and project growth across sectors.

Why standardized data matters for research accuracy

Consistency over time: Codes provide continuity across decades, enabling trend comparisons despite evolving terminology.
Cross-sector alignment: Analysts can compare parallel industries (e.g., manufacturing vs. logistics) using uniform identifiers.
Global comparability: NAICS and ISIC structures align U.S. data with international standards for cross-border analysis.

See how these systems are structured in Structure of NAICS Codes and Structure of SIC Codes.

Applications in economic modeling and forecasting

Sector performance tracking: Use SIC and NAICS data to monitor growth, decline, or consolidation within industry clusters.
Input–output modeling: Build inter-industry flow models using consistent code-based relationships between suppliers and buyers.
Regional forecasting: Link business counts, employment, and revenue by code to predict local economic shifts.
Policy simulation: Measure the projected impact of policy changes on specific industries or value chains.

Build custom datasets through About Our Business Data or access verified listings via Business List By NAICS Code.

Example: modeling industry growth by code

NAICS Code	Industry	5-Year Growth Forecast	Confidence Level
541330	Engineering Services	+8.1%	High
621111	Medical Offices	+5.4%	Medium
334111	Computer Manufacturing	+11.2%	High

Research collaboration examples

Universities and think tanks using SICCODE.com data to measure post-pandemic recovery by sector.
Economic developers analyzing employment concentration by NAICS to target investment zones.
Financial analysts benchmarking industry resilience for forecasting asset allocation models.

Best practices for data validation

Reference official releases: Always cite the version year of NAICS or SIC data used in studies.
Normalize firm-level records: Append verified codes for each entity before aggregation.
Document transformation logic: Maintain reproducible methods for merges and crosswalks.

About SICCODE.com

SICCODE.com supports economists, analysts, and institutions with verified industry data built for accuracy, standardization, and reproducibility. Our classification datasets provide the foundation for forecasting, economic modeling, and evidence-based decision-making.