Financial development depth & stability panel (World Bank GFDD/WDI)
Country-year financial-system panel from the World Bank's keyless API v2: domestic credit to private sector and listed-company market cap (% of GDP, financial depth), commercial bank branches per 100k adults (access), bank NPL ratio and Z-score (stability), and bank net interest margin (efficiency), ~230 economies 2010-2024 (GFDD bank-level series through 2021), with a per-year 0-100 financial-depth score and rank, a bank-fragility flag and 3-year credit-to-GDP changes. Joins on country_code with the catalog's other global panels. Fills the catalog's banking-system gap: existing finance coverage is inclusion (Findex), markets (Pink Sheet) and stress (NFCI), not bank balance-sheet depth.
- Rows
- 2,883
- Columns
- 14
- Source cadence
- Yearly
- Last refreshed
- Oct 6, 2026
- Theme
- finance
| Column | Type | Description |
|---|---|---|
| country_code | string | ISO 3166-1 alpha-3 country code (World Bank API field 'countryiso3code', with the hub normalize fallback on the Bank's country name). |
| country | string | Country name from the catalog's canonical ISO3 mapper. |
| year | integer | Reference year (World Bank API 'date', 2010-2024; GFDD bank-level series end 2021 upstream). |
| dom_credit_pvt_gdp | float | Domestic credit to private sector as % of GDP (WDI FS.AST.PRVT.GD.ZS): financial resources provided to the private sector by financial corporations. (unit: percent of GDP) |
| market_cap_gdp | float | Market capitalization of listed domestic companies as % of GDP (WDI CM.MKT.LCAP.GD.ZS; WFE database; investment funds, unit trusts and holding companies excluded). (unit: percent of GDP) |
| bank_branches_p100k | float | Commercial bank branches per 100,000 adults (WDI FB.CBK.BRCH.P5): physical access to banking services. (unit: branches per 100k adults) |
| bank_npl_ratio | float | Bank nonperforming loans to total gross loans (%, WDI FB.AST.NPER.ZS): loans past due 90+ days or unlikely to be repaid in full as a share of the loan portfolio. (unit: percent) |
| bank_net_interest_margin | float | Bank net interest margin (%, GFDD.EI.01): net interest revenue as a share of interest-bearing assets; country aggregates of bank-by-bank Bankscope data. (unit: percent) |
| bank_zscore | float | Bank Z-score (GFDD.SI.01): (ROA + equity / assets) / sd(ROA) on country-aggregate Bankscope data; higher = more distant from insolvency. Slightly negative in banking-crisis years (e.g. SVN 2013, GRC 2011). (unit: z-score) |
| fin_depth_score | float | 0-100 financial-depth score: mean of the per-year min-max normalized dom_credit_pvt_gdp and market_cap_gdp subscores (null when both inputs null). (unit: score) |
| fin_depth_rank | float | Per-year cross-country rank on fin_depth_score (1 = deepest financial system). (unit: rank) |
| bank_fragility_flag | float | 1 when bank_npl_ratio > 10% (elevated loan-book stress), 0 otherwise, null when the NPL ratio is null. (unit: flag) |
| credit_gdp_change_pp_3y | float | dom_credit_pvt_gdp minus its value 3 years earlier for the same country (percentage points; null when either endpoint missing). (unit: percentage points) |
| row_hash | string | Deterministic 12-hex row identity hash (country_code|year). |
First 10 sample rows — a preview, not the complete dataset.
| country_code | country | year | dom_credit_pvt_gdp | market_cap_gdp | bank_branches_p100k | bank_npl_ratio | bank_net_interest_margin | bank_zscore | fin_depth_score | fin_depth_rank | bank_fragility_flag | credit_gdp_change_pp_3y | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ABW | Aruba | 2,010 | 58.801 | — | — | — | — | — | 24.059 | 41 | — | — | 93d2d96fd18b |
| ABW | Aruba | 2,011 | 56.25 | — | 20.776 | — | — | — | 23.034 | 41 | — | — | aca8a4347904 |
| ABW | Aruba | 2,012 | 58.686 | — | 21.543 | — | — | — | 23.202 | 43 | — | — | 659f22f06455 |
| ABW | Aruba | 2,013 | 59.164 | — | 18.784 | — | — | — | 22.888 | 42 | — | 0.363 | cd39bb0ec696 |
| ABW | Aruba | 2,014 | 60.241 | — | 18.533 | — | — | — | 23.37 | 34 | — | 3.99 | f45a53bae086 |
| ABW | Aruba | 2,015 | 56.627 | — | 18.314 | — | — | — | 22.53 | 40 | — | -2.059 | f2cb5b6b6303 |
| ABW | Aruba | 2,016 | 57.222 | — | 19.29 | — | — | — | 25.246 | 40 | — | -1.942 | e8b701540e86 |
| ABW | Aruba | 2,017 | 57.247 | — | 18.132 | — | — | — | 25.056 | 37 | — | -2.994 | 5bccfd097be4 |
| ABW | Aruba | 2,018 | 55.965 | — | 16.944 | — | — | — | 24.928 | 38 | — | -0.662 | 7eaf77908500 |
| ABW | Aruba | 2,019 | 59.633 | — | 14.613 | — | — | — | 24.647 | 34 | — | 2.411 | d6fafb81101f |
- Current
20261006T062300Z-eea0e11acb4e · sha256 eea0e11acb4e…
2,883 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/wb_gfdd_findev_intel/findev_depth_stability_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/wb_gfdd_findev_intel/findev_depth_stability_annual").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/wb_gfdd_findev_intel/findev_depth_stability_annual
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20261006T062300Z-eea0e11acb4e and its content hash, so readers get exactly the data you used.
World Bank GFDD financial-development intelligence. (2026). Financial development depth & stability panel (World Bank GFDD/WDI) [Data set, snapshot 20261006T062300Z-eea0e11acb4e, sha256 eea0e11acb4e]. Datazimuts. Retrieved 2026-10-06, from https://datazimuts.com/en/datasets/wb_gfdd_findev_intel/findev_depth_stability_annual?snapshot=20261006T062300Z-eea0e11acb4e
@misc{dz_wb_gfdd_findev_intel_findev_depth_stabil_eea0e11a,
title = {{Financial development depth \& stability panel (World Bank GFDD/WDI)}},
author = {{World Bank GFDD financial-development intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/wb_gfdd_findev_intel/findev_depth_stability_annual?snapshot=20261006T062300Z-eea0e11acb4e}},
note = {Snapshot 20261006T062300Z-eea0e11acb4e, sha256 eea0e11acb4e324f0e4ce4ebcd4a9d9f34aa3116be5c1e8a2ffe760deabe30c6; accessed 2026-10-06}
}Embed a table or a chart
Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.
<iframe src="https://datazimuts.com/embed/chart?dataset=wb_gfdd_findev_intel%2Ffindev_depth_stability_annual&lang=en&theme=auto&snapshot=20261006T062300Z-eea0e11acb4e&x=year&y=year&agg=avg" title="Financial development depth & stability panel (World Bank GFDD/WDI)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.