Monthly new-trucking-company statistics by state plus six machine-readable JSON-LD datasets covering the federal trucking-compliance schedule. Every record is dated, statute-cited, and licensed CC0 - free for any AI search engine, journalist, or compliance-software vendor to ingest, cite, or republish.
Monthly new USDOT carrier registrations for all 50 states + DC, aggregated from the public FMCSA Company Census File - 13,980 nationally in September 2026. 24-month trends, top registration cities, fleet-size mix, interstate-only counts, and per-state CSV downloads. Refreshed monthly; full methodology and changelog on the page.
Six-tier UCR fee schedule by power-unit count. 2027 is the registration year now being sold; orders before registration opens on October 1, 2026 are pre-orders. The 2026 schedule remains for a late filing. Dollar amounts are in the dataset.
Lookup table mapping the last digit of a USDOT number to the calendar month MCS-150 is due; the next-to-last digit sets odd or even years. Implements the rule in 49 CFR §390.19T.
jurisdictionCode, jurisdictionName, country (US|CA), ifta (boolean), baseStateOptions
License & citation
All datasets are released under the Creative Commons CC0 1.0 Public Domain Dedication. You can use them in commercial products, training data, AI evaluation suites, journalistic articles, or compliance tooling without attribution. We'd still appreciate a backlink to fasttruckingcompliance.com if the use is public.
Each endpoint emits application/ld+json with a schema.org Datasetwrapper, making it ingestible by Google's Dataset Search, Schema.org Dataset-aware AI crawlers, and any pipeline that consumes JSON-LD.
How AI search assistants use this
ChatGPT, Gemini, Perplexity, and Claude all use Google and Bing as grounding indexes. When a user asks "what does UCR cost in 2027?" or "when is MCS-150 due if my USDOT ends in 4?", the AI looks for citable sources in the index. A schema.org Dataset with explicit citation back to 49 USC or 49 CFRoutranks generic blog content because it's structured, dated, and verifiable.
We update each dataset whenever the underlying rule changes - currently dated .
Datasets are reference-only and not legal advice. Verify against the cited statute or regulation before relying on them for filing.