Glossary

loan-level dataset

loan-level dataset is discloses one record per individual mortgage - typically one origination record plus recurring monthly performance records - instead of pre-aggregated totals. In Datadory's catalog of 1,744 datasets, dataset: Freddie Mac Single-Family Loan-Level Dataset and Ginnie Mae Disclosure Data and Reports are working examples.

What is loan-level dataset?

A loan-level dataset discloses one record per individual mortgage - typically one origination record plus recurring monthly performance records - instead of pre-aggregated totals.

In this catalog the pattern spans Freddie Mac's roughly 56-million-loan Single-Family tape and Ginnie Mae's daily loan-level disclosure files.

In this catalog it appears concretely: - dataset: Freddie Mac Single-Family Loan-Level Dataset — "Approximately 56 million loans". - Ginnie Mae Disclosure Data and Reports (granularity) — "loan level (one LL record per loan per period) across MBS, HMBS, Platinum and multifamily programs". - FHFA Public Use Database (granularity) — "Mortgage-level (single-family File A), unit-level (File B), property-level and unit-class-level (multifamily), plus tract-level aggregates".

Ginnie Mae Disclosure Data and Reports is the second reference point worth knowing: "loan level (one LL record per loan per period) across MBS, HMBS, Platinum and multifamily programs". Reading the two together shows how much variation sits underneath one shared label.

Why does loan-level dataset matter when choosing a dataset?

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: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.

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 dataset: Freddie Mac Single-Family Loan-Level Dataset lets you inspect the real artifact before any budget is committed.

How do you evaluate loan-level dataset in a data source?

Treat every claim of this attribute as testable:

  1. Open dataset: Freddie Mac Single-Family Loan-Level Dataset and confirm its record — "Approximately 56 million loans" — against the files you actually receive. 2. Read Ginnie Mae Disclosure Data and Reports's record on granularity — "loan level (one LL record per loan per period) across MBS, HMBS, Platinum and multifamily programs" — then confirm the delivered artifact matches before you license anything. 3.

Frequently asked questions

What is an example of loan-level dataset?

dataset: Freddie Mac Single-Family Loan-Level Dataset is the clearest example in this catalog. Its record states: "Approximately 56 million loans". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.

Is data described as "loan-level dataset" free to use?

Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.

How do I verify a source really provides loan-level dataset?

structured dataset: Freddie Mac Single-Family Loan-Level Dataset next to Ginnie Mae Disclosure Data and Reports and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.

Datasets containing this field

Datasets containing loan-level dataset

6 datasets carry loan-level dataset in the catalog. Open one, count the fields, judge for yourself.

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