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FinObservatory

Financial inclusion / HTI

Haiti

Haiti appears in 3 of the 5 Global Findex rounds in this file (2011, 2014, 2017). It has no account reading in 2021, 2024, so those columns are empty below rather than interpolated.

32.6%
Account, 2017
22.0%
Account, 2011
+10.6 pts
Change, 2011 to 2017
5.3 pts
Gender gap, 2017
-
No reading in the 2024 round

Account ownership by group

Share of adults aged 15 and over with an account at a bank or with a mobile money provider. Each line is a separate survey estimate on a subsample, not a decomposition of the total.

% of adults age 15+1020304020112014201720212024All adults, 2011: 22.0All adults, 2014: 18.9All adults, 2017: 32.6All adults 32.6Women, 2011: 21.1Women, 2014: 16.1Women, 2017: 30.0Women 30.0Men, 2011: 23.0Men, 2014: 21.7Men, 2017: 35.4Men 35.4Poorest 40%, 2014: 13.3Poorest 40%, 2017: 17.9Poorest 40% 17.9

Source: World Bank Global Findex Database 2025 (CC BY-4.0) Indicators account.t.d, account.t.d.1, account.t.d.2, account.t.d.7. Methodology

Account ownership20112014201720212024
Women21.1%16.1%30.0%--
Men23.0%21.7%35.4%--
Poorest 40%-13.3%17.9%--
Richest 60%-22.5%42.4%--
Age 15-246.2%14.7%27.3%--
Age 25+30.7%21.2%35.5%--
Primary education or less8.0%11.1%17.0%--
Secondary education or more29.5%22.9%42.2%--

Source: World Bank Global Findex Database 2025 (CC BY-4.0) A dash means the cut is not reported for Haiti in that round. The rural and urban cuts exist in one round only. Methodology

The gaps

Gender gap is the men’s account rate minus the women’s; income gap is the richest 60% minus the poorest 40%. Both are differences between two survey estimates and the file publishes no standard error for either, so a gap of a few points is not distinguishable from zero.

Percentage points0.010203020112014201720212024Gender gap, 2011: 1.9Gender gap, 2014: 5.6Gender gap, 2017: 5.3Gender gap 5.3Income gap, 2014: 9.2Income gap, 2017: 24.6Income gap 24.6

Source: World Bank Global Findex Database 2025 (CC BY-4.0) account.t.d.2 minus account.t.d.1; account.t.d.8 minus account.t.d.7. Methodology

Payments, saving and borrowing

The digital-payment, saved and borrowed indicators are not collected in every round or for every economy: in the 2024 round they are reported for a subset of the economies that report account ownership.

Share of adults age 15+20112014201720212024
Made or received a digital payment-12.4%27.5%--
Mobile money account-3.8%13.5%--
Saved at a bank or using mobile money18.0%9.4%12.2%--
Borrowed from a bank or using mobile money-5.9%12.9%--

Source: World Bank Global Findex Database 2025 (CC BY-4.0) Indicators g20.any, mobileaccount.t.d, fin17a.17a1.d, fin22a.22a1.22g.d. A dash means no reading for Haiti in that round. Methodology

Physical access points

From the IMF Financial Access Survey by way of the GFDD, which stops in 2021. Each figure is Haiti’s latest reported year, which is shown beside it and is not necessarily the same year as another economy’s. These are the published values, reproduced without adjustment; for at least one economy the published branch and ATM counts are not physically possible, which the methodology page documents.

2.6
Bank branches per 100,000 adults (2020)
3.8
ATMs per 100,000 adults (2019)

Source: World Bank Global Financial Development Database | IMF Financial Access Survey GFDD.AI.02 and GFDD.AI.25, latest reported year for this economy. Methodology

Access infrastructure (IMF Financial Access Survey)

Findex above measures use: whether adults say they have an account. The FAS measures infrastructure: what regulators count. For Haiti the FAS carries readings from 2004 to 2020, annual rather than in survey rounds, pulled directly from the IMF’s API. In 2015, mobile-money transactions ran at 482 per 1,000 adults, about 0 transactions per adult over the year.

Per 100,000 adults0.05.010152004200720102013201620192020Branches, 2004: 3.3Branches, 2005: 3.2Branches, 2006: 3.1Branches, 2007: 3.0Branches, 2008: 3.0Branches, 2009: 2.9Branches, 2010: 2.5Branches, 2011: 2.7Branches, 2012: 2.8Branches, 2013: 2.8Branches, 2014: 2.7Branches, 2015: 2.7Branches, 2016: 2.7Branches, 2017: 2.7Branches, 2018: 2.7Branches, 2019: 2.8Branches, 2020: 2.7Branches 2.7ATMs, 2014: 1.1ATMs, 2015: 1.3ATMs, 2016: 2.1ATMs, 2017: 2.3ATMs, 2018: 2.1ATMs, 2019: 3.9ATMs 3.9MM agents, 2011: 13.8MM agents, 2012: 14.8MM agents, 2013: 15.0MM agents, 2014: 8.1MM agents, 2015: 13.5MM agents 13.5

Source: IMF Financial Access Survey Access points per 100,000 adults (FA26N, FA18N, FA5N). MM agents are active mobile-money agent outlets, reported only where the country serves mobile money. Methodology

Accounts per 1,000 adults. A registered mobile-money count above 1,000 means more registrations than adults; registration is not use, and an active count (90-day use) runs well below it where both are reported.

Per 1,000 adults0.01002003004002004200720102013201620192020Deposit accts, 2004: 213.1Deposit accts, 2005: 243.8Deposit accts, 2006: 278.2Deposit accts, 2007: 307.1Deposit accts, 2008: 332.7Deposit accts, 2009: 353.2Deposit accts, 2010: 341.2Deposit accts, 2011: 340.2Deposit accts, 2012: 335.2Deposit accts, 2013: 307.9Deposit accts, 2014: 286.9Deposit accts, 2015: 286.5Deposit accts, 2016: 272.3Deposit accts, 2017: 281.0Deposit accts, 2018: 302.4Deposit accts, 2019: 323.0Deposit accts, 2020: 331.3Deposit accts 331.3Loan accts, 2004: 4.1Loan accts, 2005: 4.3Loan accts, 2006: 5.8Loan accts, 2007: 6.6Loan accts, 2008: 10.6Loan accts, 2009: 12.3Loan accts, 2010: 11.2Loan accts, 2011: 12.1Loan accts, 2012: 14.1Loan accts, 2013: 15.2Loan accts, 2014: 16.1Loan accts, 2015: 15.8Loan accts, 2016: 19.6Loan accts, 2017: 19.5Loan accts, 2018: 17.5Loan accts, 2019: 16.4Loan accts, 2020: 13.5Loan accts 13.5MM registered, 2010: 1.3MM registered, 2011: 13.7MM registered, 2012: 54.9MM registered, 2013: 39.9MM registered, 2014: 16.5MM registered, 2015: 41.1MM registered 41.1MM active, 2010: 1.3MM active, 2011: 8.7MM active, 2012: 9.3MM active, 2013: 10.8MM active, 2014: 14.2MM active, 2015: 39.2MM active 39.2

Source: IMF Financial Access Survey Accounts per 1,000 adults (FA30N_COMBANK, LOANACCN_COMBANK, FA67N, FA63N), commercial banks and mobile money. Methodology