Diversified Financial Services Data Provider · Head-to-head
World Bank Development Indicators (Financial Sector) vs FINRA Data Catalog and API
Which diversified financial services data provider data fits your job: World Bank Development Indicators, or FINRA Data Catalog and API. API, files, or your warehouse. Daily, weekly, or hourly.
World Bank Development Indicators (Financial Sector)
FINRA Data Catalog and API
Where the fields line up
No shared field names. These two answer different questions.
| Field | World Bank Development Indicators | FINRA Data Catalog and API |
|---|---|---|
indicator.id | WDI indicator code. | not in this set |
indicator.value | Full descriptive name of the indicator. | not in this set |
country.id | Two-letter World Bank country code or aggregate code. | not in this set |
country.value | Country or aggregate name. | not in this set |
countryiso3code | ISO 3166-1 alpha-3 country code. | not in this set |
date | Observation period; annual year for WDI. | not in this set |
value | Indicator value for the observation, null when unavailable. | not in this set |
settlementDate | not in this set | Designated settlement date keying each reporting cycle; every other figure in the row is measured as of this close. |
accountingYearMonthNumber | not in this set | Reporting period key expressed as the YYYYMMDD settlement date. |
symbolCode | not in this set | Unique ticker symbol identifying the issue. |
issueName | not in this set | Name of the issue exactly as carried on the report. |
issuerServicesGroupExchangeCode | not in this set | Primary listing market code for the security. |
Coverage, side by side
| World Bank Development Indicators | FINRA Data Catalog and API | |
|---|---|---|
| Geographic | ~217 economies plus regional and income aggregates worldwide | United States - all FINRA-member broker-dealer activity in exchange-listed and OTC equities and US fixed income |
| Temporal | 1960 to the most recent available year; most financial indicators run from ~1975 onward | Short interest biweekly from 2014; TRACE trade history 10 years; Rule 606 from Q3 2024 with up to 7 rolling years |
| Granularity | One observation per country per indicator per year | Per security per settlement cycle; per ATS per security weekly; per firm per quarter; per trade (TRACE feeds) |
What each contains
Pick by fit, not by loyalty.
| World Bank Development Indicators | FINRA Data Catalog and API | |
|---|---|---|
| Geography | ~217 economies plus regional and income aggregates worldwide | United States - all FINRA-member broker-dealer activity in exchange-listed and OTC equities and US fixed income |
| Temporal reach | 1960 to the most recent available year; most financial indicators run from ~1975 onward | Short interest biweekly from 2014; TRACE trade history 10 years; Rule 606 from Q3 2024 with up to 7 rolling years |
| Granularity | One observation per country per indicator per year | Per security per settlement cycle; per ATS per security weekly; per firm per quarter; per trade (TRACE feeds) |
| Scale | 1,498 indicators x 217 economies, 72 tagged Financial Sector | ~60 catalog datasets; ~16,700 Rule 606 report records observed |
| Field dictionary | 10 documented fields, definitions verified | 17 documented fields across short interest and Rule 606, definitions verified |
| Formats delivered | JSON, XML, CSV | CSV, JSON, XML, PDF, delimited text |
| Best for | Cross-country benchmarking of credit depth, market cap and banking structure | Security-level and firm-level US trading behavior |
Or take both in one feed
They stack naturally into a top-down-plus-bottom-up workflow, joined by nothing fancier than geography and timing. A US equities strategy desk can pull World Bank private-credit-to-GDP and market-capitalization series to frame the regime, then work FINRA's biweekly short-interest cycle to time entries security by security - the July 31, 2026 rows showing Agilent at 2.50 days to cover after a 23.7 percent drop in shares short are precisely the kind of micro signal that sits inside a macro frame. An academic study of credit booms can benchmark country aggregates while citing TRACE aggregates for the US fixed-income leg. A risk team can screen member firms through Rule 606 disclosures while sizing sovereign and banking exposure from reserves and bank-capital ratios.
Two practical notes from the records. Align periods before joining, because one side is annual and the other settles twice a month. And expect to map countries to tickers yourself - neither dictionary ships the bridge. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Which one should a quant team sample first?
Sample both, pick by fit. Quants modeling credit conditions or country risk start with the World Bank's 72 financial-sector indicators; quants building squeeze or liquidity signals start with FINRA's short-interest and TRACE records, which resolve to individual securities and settlement dates. Teams doing both usually keep both in rotation.