Statistical Release

A recurring publication from a government statistics producer, here the Federal Reserve's monthly G.20 release on finance companies.

Each current edition covers the latest five years plus year-to-date months, while HTML historical tables reach back to June 1985 and the XML bundle to January 1943.

In this catalog it appears concretely: - federal-reserve-finance-companies-g-20 — "published by the Board of Governors of the Federal Reserve System as a public statistical release".

A label on a listing is not a deliverable. Teams that license on the strength of a product-name match routinely find the shipped files cover a narrower slice than they assumed, and backfilling history afterwards costs more than the license ever did.

The failure mode is concrete: a source can carry the Statistical Release label while differing from what you need on exactly the dimension that matters — published by the Board of Governors of the Federal Reserve System as a public statistical release. Comparing two sources on that line usually settles the choice faster than any feature matrix.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and federal-reserve-finance-companies-g-20 lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open federal-reserve-finance-companies-g-20 and confirm its record — "published by the Board of Governors of the Federal Reserve System as a public statistical release" — against the files you actually receive.
2. Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
3. Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
4. Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.

See the term applied to real records: specialized-finance data.

Adjacent concepts worth reading next: - Finance Company Receivables - SDMX XML Bundle