Industry hub · Specialized finance data provider

Specialized Finance Data: Receivables, Loan-Level Credit and Cross-Country Depth

Datadory covers specialized finance data provider with 4 datasets spanning Federal Reserve Finance Companies G.20 , World Bank Financial Sector Indicators and SBA Open Data Portal . Delivered daily, weekly, or hourly — your call.

4 datasets 3 publishers Delivery: API, files, or your warehouse. Daily, weekly, or hourly.

The manifest

Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.

#1

Federal Reserve Finance Companies G.20

Coverage
United States - national aggregates compiled from…
#2 World Bank Data

World Bank Financial Sector Indicators

Coverage
265 economies and aggregates worldwide - sovereign…
#3

SBA Open Data Portal

Coverage
United States - borrower and project location down to…
#4

Hugging Face Datasets - Finance Topic (1,352 datasets)

Coverage
Global contributor base
#5 Consumer Financial Protection Bureau (CFPB)

CFPB Consumer Complaint Database

Coverage
United States - consumer mailing state (50 states plus…
#6

Federal Reserve Economic Data Portal (Board Releases)

Plus 4 more in this slice — each with its field dictionary and sample rows on its own page.

The lay of the water

Where specialized finance data provider data actually comes from.

Pick your catch

Three to start with. The rest of the board is above.

Specialized finance data provider United States - national aggregates… · Monthly series beginning January 1943

Federal Reserve Finance Companies G.20

TIME_PERIOD · OBS_VALUE · SERIES_NAME …+9 more

Specialized finance data provider 265 economies and aggregates worldwide… · Annual observations 1960-2025…

World Bank Financial Sector Indicators

country_name · country_code · indicator_name …+7 more

Specialized finance data provider United States - borrower and project… · 7(a) and 504 loans approved since…

SBA Open Data Portal

Program · AsOfDate · BorrName / BorrStreet / BorrCity / BorrState / BorrZip …+15 more

Specialized finance data provider Global contributor base · Continuously changing git-versioned…

Hugging Face Datasets - Finance Topic (1,352 datasets)

id · downloads · likes …+6 more

Specialized finance data provider United States - consumer mailing state… · December 1, 2011 to present

CFPB Consumer Complaint Database

Complaint ID · Date received · Product …+15 more

Specialized finance data provider

Federal Reserve Economic Data Portal (Board Releases)

Series Description · Unit: · Multiplier: …+9 more

Specialized finance data provider Global - 141 economies surveyed in 2024 · Survey waves 2011, 2014, 2017, 2021…

World Bank Global Findex Database 2025

countrynewwb / codewb / year · pop_adult · regionwb24_hi / incomegroupwb24 …+8 more

Specialized finance data provider Global - US exchange data (Nasdaq · Varies by product: research staples…

Nasdaq Data Link (formerly Quandl)

dataset_data.column_names · dataset_data.data · dataset_data.start_date …+9 more

Specialized finance data provider EU member states plus… · Per-record issued and modified dates…

EU Open Data Portal - Telecommunications Carrier Datasets

id · title · description …+11 more

Specialized finance data provider Global - coverage follows publishers… · Living catalog - each record carries…

Kaggle Datasets Hub - Furniture Search

name · description · creator …+6 more

Who fishes here

Four persona routes are populated for this industry; the investor and sales slices stay empty until their own pools clear the gate.

Frequently asked questions

What does Federal Reserve G.20 finance companies data cover?
Owned, managed and securitized receivables outstanding at U.S. finance companies - the non-depository specialty lenders behind much of auto lending, equipment finance and other consumer and business credit. The record carries 156 time series at monthly grain, split by sector and receivable type, giving cycle analysts an unbroken aggregate view of specialty lending.
How far back does US finance company credit data go?
To January 1943. The G.20's machine-readable bundle starts at 1943-01-31 with roughly 1,000 monthly observations per series, spanning every rate regime since. Few series anywhere offer this much continuous history on non-depository consumer, real estate and business lending, and Datadory delivers it typed and join-keyed rather than as a spliced panel.
How detailed is SBA 7(a) loan-level data?
One row per approved loan: roughly 388,000 rows in the fiscal-2020-present 7(a) file, aggregatable by lender, program, geography, NAICS industry and fiscal year, with historical 7(a) and 504 segments reaching fiscal 1991. Borrower-reported fields such as Jobs Supported carry the SBA's own unaudited flag, which Datadory preserves alongside every column.
What does World Bank Financial Sector Indicators cover?
72 financial sector indicators across 265 economies - domestic credit, nonperforming loans, bank branches and ATMs, market capitalization, remittances and interest rate spreads - about 17,000 economy-indicator series at annual country-year grain, with observations from 1960. Most financial-access indicators begin in the 1990s or 2000s rather than 1960, and the coverage chips on each card state the start dates.
Which datasets cover government guaranteed small business lending?
The SBA Open Data Portal anchors the niche with 25 datasets spanning the 7(a), 504, microloan, PPP and RRF programs, plus SBG records since fiscal 2020. Loan-level rows support aggregation by lender, geography and industry, so program reach, lender concentration and geographic gaps can each be quantified from the same underlying records.
Which dataset benchmarks bank asset quality by country?
The World Bank Financial Sector Indicators bundle carries nonperforming loans beside domestic credit, branch and ATM density and remittances for all 265 covered economies at annual grain. Pairing it with the G.20 lets you compare US specialty-lender conditions against banking-system asset quality elsewhere - one thesis, two frames, consistent columns.

See the rows before you commit

Any catch on this board, sampled against your own question. API, files, or your warehouse. Daily, weekly, or hourly..