Global Findex financial-inclusion waves (World Bank)
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Triennial Global Findex financial-inclusion panel (World Bank Global Financial Inclusion Database, waves 2011/2014/2017/2021/2024, 140+ economies, keyless API): account ownership (total + sex, age, income-quintile and urban-rural splits), mobile-money accounts, debit-card ownership and formal saving, plus a derived ML layer — gender/income/age/urban-rural inclusion gaps, wave-over-wave account changes, a gender-gap-narrowing flag, fixed-cut inclusion tiers, a 0-100 composite inclusion index and per-wave cross-country ranks. All rows carry normalized ISO country codes so they join cleanly with other macro and fintech data. Raw data: World Bank, Global Findex Database.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 710
- Colonnes
- 27
- Cadence de la source
- Annuelle
- Dernière actualisation
- 2 oct. 2026
- Thème
- finance
| Colonne | Type | Description |
|---|---|---|
| date | date | Observation wave year (World Bank Findex wave; mapped to YYYY-01-01). |
| country | string | Country name via the hub normalization layer. |
| country_code | string | ISO 3166-1 alpha-3 country code. |
| findex_wave | integer | Global Findex survey wave year: headline waves 2011, 2014, 2017, 2021 or 2024 (the 2025 Findex release reports 2024 data), plus a 2022 interim wave for 16 economies missing 2021 coverage. |
| account_total | float | World Bank Global Findex series account.t.d: Account (% age 15+) All values are percent of the stated population. |
| account_female | float | World Bank Global Findex series account.t.d.1: Account, female (% age 15+) All values are percent of the stated population. |
| account_male | float | World Bank Global Findex series account.t.d.2: Account, male (% age 15+) All values are percent of the stated population. |
| account_young | float | World Bank Global Findex series account.t.d.3: Account, young (% ages 15-24) All values are percent of the stated population. |
| account_older | float | World Bank Global Findex series account.t.d.4: Account, older (% age 25+) All values are percent of the stated population. |
| account_poorest40 | float | World Bank Global Findex series account.t.d.7: Account, income, poorest 40% (% ages 15+) All values are percent of the stated population. |
| account_richest60 | float | World Bank Global Findex series account.t.d.8: Account, income, richest 60% (% ages 15+) All values are percent of the stated population. |
| account_rural | float | World Bank Global Findex series account.t.d.9: Account, rural (% age 15+) All values are percent of the stated population. |
| account_urban | float | World Bank Global Findex series account.t.d.10: Account, urban (% age 15+) All values are percent of the stated population. |
| mobile_money | float | World Bank Global Findex series mobileaccount.t.d: Mobile money account (% age 15+) All values are percent of the stated population. |
| debit_card | float | World Bank Global Findex series fin2.t.d: Owns a debit card (% age 15+) All values are percent of the stated population. |
| saved_fi_mobile | float | World Bank Global Findex series fin17a.17a1.d: Saved at a financial institution or using a mobile money account (% age 15+) All values are percent of the stated population. |
| saved_old_age | float | World Bank Global Findex series fin17f: Saved for old age (% age 15+) All values are percent of the stated population. |
| gender_gap_pp | float | Account-ownership gender gap: male minus female, in percentage points. |
| income_gap_pp | float | Account-ownership income gap: richest 60% minus poorest 40%, in percentage points. |
| age_gap_pp | float | Account-ownership age gap: older (25+) minus young (15-24), in percentage points. |
| urban_rural_gap_pp | float | Account-ownership urban-rural gap: urban minus rural, in percentage points. The urban/rural splits are only published for the 2024 wave. |
| acct_change_pp_prev_wave | float | Change in headline account ownership vs the previous Findex wave, in percentage points. |
| gender_gap_narrowing_flag | integer | 1 when the gender gap shrank vs the previous Findex wave, else 0. |
| inclusion_tier | string | Fixed-cut inclusion tier on headline account ownership: frontier (>=90), advanced (>=75), emerging (>=50), nascent (>=25), excluded (<25). |
| inclusion_index_0_100 | float | Composite inclusion index (0-100): 0.5 * account_total + 0.25 * debit_card + 0.25 * saved_fi_mobile; null when any component is missing. |
| account_rank | integer | Per-wave cross-country rank on headline account ownership (1 = most included). |
| row_hash | string | Deterministic 12-hex row identity hash over source, country, date and rounded raw values. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | country | country_code | findex_wave | account_total | account_female | account_male | account_young | account_older | account_poorest40 | account_richest60 | account_rural | account_urban | mobile_money | debit_card | saved_fi_mobile | saved_old_age | gender_gap_pp | income_gap_pp | age_gap_pp | urban_rural_gap_pp | acct_change_pp_prev_wave | gender_gap_narrowing_flag | inclusion_tier | inclusion_index_0_100 | account_rank | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-01-01 | Afghanistan | AFG | 2 011 | 9,005 | — | — | — | — | — | — | — | — | — | 4,708 | 2,819 | — | — | — | — | — | — | 0 | excluded | 6,384 | 129 | ea54a003a4b0 |
| 2014-01-01 | Afghanistan | AFG | 2 014 | 9,961 | — | — | — | — | — | — | — | — | 0,304 | 1,659 | 3,566 | — | — | — | — | — | 0,956 | 0 | excluded | 6,287 | 137 | c02a607a3d08 |
| 2017-01-01 | Afghanistan | AFG | 2 017 | 14,893 | 7,161 | 22,536 | 9,753 | 18,016 | 13,803 | 15,619 | — | — | 0,914 | 2,708 | 3,668 | — | 15,376 | 1,817 | 8,264 | — | 4,932 | 0 | excluded | 9,041 | 143 | 6f49614ddd9e |
| 2021-01-01 | Afghanistan | AFG | 2 021 | 9,654 | — | — | — | — | — | — | — | — | 0 | 2,596 | 1,337 | — | — | — | — | — | -5,239 | 0 | excluded | 5,81 | 122 | 80102a053568 |
| 2011-01-01 | Angola | AGO | 2 011 | 39,204 | 38,928 | 39,481 | 30,458 | 44,314 | — | — | — | — | — | 29,759 | 15,916 | — | 0,553 | — | 13,856 | — | — | 0 | nascent | 31,02 | 71 | a7114ea4bfbb |
| 2014-01-01 | Angola | AGO | 2 014 | 29,318 | 22,332 | 36,132 | 14,865 | 37,669 | 12,544 | 40,46 | — | — | — | 21,409 | 14,86 | — | 13,8 | 27,916 | 22,804 | — | -9,885 | 0 | nascent | 23,726 | 106 | 4e9c3ff0def2 |
| 2011-01-01 | Albania | ALB | 2 011 | 28,268 | 22,673 | 33,665 | 26,404 | 28,729 | 17,519 | 35,411 | — | — | — | 21,124 | 8,562 | — | 10,992 | 17,893 | 2,326 | — | — | 0 | nascent | 21,555 | 86 | e076f72ddbb4 |
| 2014-01-01 | Albania | ALB | 2 014 | 37,986 | 33,594 | 42,52 | 29,965 | 40,403 | 23,89 | 47,379 | — | — | — | 21,844 | 7,483 | — | 8,925 | 23,489 | 10,438 | — | 9,718 | 1 | nascent | 26,325 | 93 | fdfa0d4e601a |
| 2017-01-01 | Albania | ALB | 2 017 | 40,015 | 38,103 | 42,044 | 31,501 | 42,513 | 22,751 | 51,506 | — | — | 2,378 | 26,886 | 8,661 | — | 3,941 | 28,755 | 11,013 | — | 2,029 | 1 | nascent | 28,894 | 109 | b86ead623868 |
| 2021-01-01 | Albania | ALB | 2 021 | 44,174 | 45,686 | 42,585 | 43,867 | 44,26 | 27,266 | 55,409 | — | — | — | 26,984 | 9,659 | — | -3,101 | 28,143 | 0,393 | — | 4,159 | 1 | nascent | 31,248 | 102 | 138dfb9b0a2a |
Profilé le 2 oct. 2026 à partir de l’instantané 20261002T081538Z-7dc77c4b4a91
Mesuré- Complétude
- 83,1 %
- Lignes
- 710
- Colonnes
- 27
- Colonnes incomplètes
- 17
20112024
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datedate | 0 % | 6 | 1 janv. 2011 → 1 janv. 2024 | — |
| countryvarchar | 0 % | 167 | — |
|
| country_codevarchar | 0 % | 211 | — |
|
| findex_wavebigint | 0 % | 6 | 2 011 → 2 024médiane 2 017 | |
| account_totaldouble | 0 % | 708 | 0,4049 → 100médiane 59,69 | 16 hors du 1er–99e centile |
| account_femaledouble | 3,7 % | 681 | 2,95 → 100médiane 59,65 | 7 hors du 1er–99e centile |
| account_maledouble | 3,7 % | 608 | 11,15 → 100médiane 66,94 | 7 hors du 1er–99e centile |
| account_youngdouble | 3,7 % | 754 | 2,84 → 100médiane 49,38 | 7 hors du 1er–99e centile |
| account_olderdouble | 3,7 % | 737 | 10,89 → 100médiane 65,72 | 7 hors du 1er–99e centile |
| account_poorest40double | 5,5 % | 708 | 2,3 → 100médiane 51,39 | 7 hors du 1er–99e centile |
| account_richest60double | 5,5 % | 684 | 11,36 → 100médiane 70,17 | 7 hors du 1er–99e centile |
| account_ruraldouble | 80,6 % | 153 | 15,06 → 100médiane 71,09 | 2 hors du 1er–99e centile |
| account_urbandouble | 80,4 % | 118 | 13,66 → 100médiane 79,09 | 4 hors du 1er–99e centile |
| mobile_moneydouble | 56,2 % | 291 | 0 → 87,5médiane 12,66 | 8 hors du 1er–99e centile |
| debit_carddouble | 0 % | 754 | 0,2695 → 99,02médiane 34,62 | 16 hors du 1er–99e centile |
| saved_fi_mobiledouble | 5,9 % | 744 | 0,1173 → 80,93médiane 17,94 | 14 hors du 1er–99e centile |
| saved_old_agedouble | 86,2 % | 104 | 0,4398 → 43,43médiane 5,95 | 2 hors du 1er–99e centile |
| gender_gap_ppdouble | 3,7 % | 769 | -14,71 → 57,49médiane 4,67 | 14 hors du 1er–99e centile |
| income_gap_ppdouble | 5,5 % | 567 | -4,45 → 41,69médiane 12,1 | 14 hors du 1er–99e centile |
| age_gap_ppdouble | 3,7 % | 823 | -16,16 → 53,54médiane 9,41 | 14 hors du 1er–99e centile |
| urban_rural_gap_ppdouble | 80,7 % | 168 | -5,71 → 32,48médiane 4,46 | 4 hors du 1er–99e centile |
| acct_change_pp_prev_wavedouble | 22,8 % | 503 | -32,55 → 40,17médiane 4,41 | 12 hors du 1er–99e centile |
| gender_gap_narrowing_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| inclusion_tiervarchar | 0 % | 5 | — |
|
| inclusion_index_0_100double | 5,9 % | 694 | 0,2992 → 94,41médiane 40,06 | 14 hors du 1er–99e centile |
| account_rankbigint | 0 % | 151 | 1 → 145médiane 68 | 8 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 777 | — |
|
- Actuelle
20261002T081538Z-7dc77c4b4a91 · sha256 7dc77c4b4a91…
710 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/wb_findex_intel/financial_inclusion_findex_waves" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/wb_findex_intel/financial_inclusion_findex_waves").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/wb_findex_intel/financial_inclusion_findex_waves
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
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APA
Global Findex financial-inclusion signals. (2026). Global Findex financial-inclusion waves (World Bank) [Data set, snapshot 20261002T081538Z-7dc77c4b4a91, sha256 7dc77c4b4a91]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/wb_findex_intel/financial_inclusion_findex_waves?snapshot=20261002T081538Z-7dc77c4b4a91
BibTeX
@misc{dz_wb_findex_intel_financial_inclusion_find_7dc77c4b,
title = {{Global Findex financial-inclusion waves (World Bank)}},
author = {{Global Findex financial-inclusion signals}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/wb_findex_intel/financial_inclusion_findex_waves?snapshot=20261002T081538Z-7dc77c4b4a91}},
note = {Snapshot 20261002T081538Z-7dc77c4b4a91, sha256 7dc77c4b4a91522fa48bb2a3209ad911a7d4ecdeff9528e8879794679a141483; accessed 2026-10-02}
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<iframe src="https://datazimuts.com/embed/chart?dataset=wb_findex_intel%2Ffinancial_inclusion_findex_waves&lang=fr&theme=auto&snapshot=20261002T081538Z-7dc77c4b4a91&x=date&y=findex_wave&agg=avg" title="Global Findex financial-inclusion waves (World Bank)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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