What are the main data sources for SICCODE.com?

We integrate U.S. federal, state, commercial, and proprietary data sources to maintain comprehensive, verified coverage of U.S. businesses.

How often is the data updated?

Rolling updates and quarterly audit cycles preserve accuracy, freshness, and full version traceability.

How is classification accuracy verified?

Each record passes rule-based validation, ML scoring, and expert QA review before publication.

Data Sources & Verification Process

Industry Intelligence Center · Updated: November 2025 · Reviewed by: SICCODE Research Team

SICCODE.com’s verified datasets integrate more than 20 million U.S. establishments from federal, state, commercial, and proprietary sources. Through a governed verification pipeline and expert review, we maintain consistent classification accuracy across all SIC and NAICS codes ensuring reliable inputs for analytics, compliance, and AI systems.

Behind every verified SIC or NAICS code is a disciplined data pipeline. SICCODE.com aggregates, normalizes, and validates records through a multi-source process combining federal, state, and commercial datasets with our proprietary classification extensions. Each record is traceable through automated checks, expert QA, and versioned change history.

Primary Data Sources

U.S. Federal Data: SEC filings, Census Bureau datasets, and Department of Labor registries establish the national baseline.
State-Level Registrations: Verified incorporation and licensing feeds from all 50 states provide current entity coverage.
Commercial Data Partners: Audited business directories, vendor databases, and financial filings enrich firmographic depth.
Proprietary Contributions: SICCODE.com’s extended SIC and NAICS mappings enhance granularity for emerging and hybrid industries.

Normalization & Data Integration

All incoming data is standardized into a unified schema. Entity names, addresses, and activity descriptions are normalized using controlled vocabularies and entity-resolution algorithms. Each record receives a persistent ID that preserves lineage from the original source to the verified classification.

Verification Framework

Rule-Based Validation: Inclusion/exclusion logic enforces consistency with official SIC and NAICS frameworks.
Machine Learning Scoring: Text and entity models assign probability distributions to candidate codes.
Expert Review: Classification analysts validate edge cases and correct industry adjacency overlaps.
Version Control: Each change is recorded with timestamp, rationale, and reviewer credentials for audit tracking.

Continuous Quality Assurance

Quarterly audits benchmark accuracy, coverage, and data freshness.
Rolling updates integrate new business formations and remove closed entities.
Versioned changelogs maintain full traceability for enterprise subscribers.

Verification Metrics

Classification accuracy: 96.8% (validated benchmark)
Retention accuracy: 99.3% for established entities
Initial confidence for new records: 92%+ prior to expert review

Metrics are based on internal audits conducted under SICCODE.com’s governed verification and QA cycle.

Applications in Analytics, AI & Compliance

Verified classification data powers CRM enrichment, credit modeling, compliance validation, and AI training datasets. With documented lineage and accuracy scoring, SICCODE.com enables transparent, explainable, and regulator-ready analytics pipelines.

Verified Source & Data Integrity Disclosure

This content is maintained by the SICCODE.com Data Governance Desk. Accuracy metrics and validation methods are documented in our Methodology & Data Verification and Data Verification Policy. All sourcing complies with federal and state public data usage guidelines and commercial data-licensing standards.

For compliance documentation or enterprise licensing inquiries, contact the SICCODE.com Data Governance Desk.