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FinObservatory

Financial inclusion / ARE

United Arab Emirates

United Arab Emirates appears in 4 of the 5 Global Findex rounds in this file (2011, 2014, 2017, 2021). It has no account reading in 2024, so those columns are empty below rather than interpolated.

85.7%
Account, 2021
59.7%
Account, 2011
+26.0 pts
Change, 2011 to 2021
-1.3 pts
Gender gap, 2021
-
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+40608010020112014201720212024All adults, 2011: 59.7All adults, 2014: 83.7All adults, 2017: 88.2All adults, 2021: 85.7All adults 85.7Women, 2011: 47.2Women, 2014: 67.7Women, 2017: 76.4Women, 2021: 86.7Women 86.7Men, 2011: 68.8Men, 2014: 90.0Men, 2017: 92.7Men, 2021: 85.4Men 85.4Poorest 40%, 2011: 52.9Poorest 40%, 2014: 77.7Poorest 40%, 2017: 83.0Poorest 40%, 2021: 83.4Poorest 40% 83.4

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
Women47.2%67.7%76.4%86.7%-
Men68.8%90.0%92.7%85.4%-
Poorest 40%52.9%77.7%83.0%83.4%-
Richest 60%64.5%88.0%91.7%87.3%-
Age 15-2426.3%66.7%60.2%79.4%-
Age 25+73.3%88.4%90.7%87.2%-
Primary education or less42.6%64.4%70.9%76.0%-
Secondary education or more61.3%84.6%88.9%86.4%-

Source: World Bank Global Findex Database 2025 (CC BY-4.0) A dash means the cut is not reported for United Arab Emirates 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 points-100.010203020112014201720212024Gender gap, 2011: 21.6Gender gap, 2014: 22.3Gender gap, 2017: 16.3Gender gap, 2021: -1.3Gender gap -1.3Income gap, 2011: 11.6Income gap, 2014: 10.3Income gap, 2017: 8.7Income gap, 2021: 3.9Income gap 3.9

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-76.7%84.0%76.6%-
Mobile money account-11.5%21.3%13.3%-
Saved at a bank or using mobile money19.2%32.1%28.7%10.8%-
Borrowed from a bank or using mobile money-39.4%46.1%23.9%-

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 United Arab Emirates 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 United Arab Emirates’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.

8.0
Bank branches per 100,000 adults (2020)
52.5
ATMs per 100,000 adults (2020)

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 United Arab Emirates the FAS carries readings from 2004 to 2023, annual rather than in survey rounds, pulled directly from the IMF’s API.

Per 100,000 adults0.02040608020042007201020132016201920222023Branches, 2004: 13.6Branches, 2005: 13.0Branches, 2006: 13.5Branches, 2007: 13.6Branches, 2008: 14.3Branches, 2009: 14.5Branches, 2010: 15.2Branches, 2011: 15.3Branches, 2012: 15.4Branches, 2013: 15.4Branches, 2014: 15.1Branches, 2015: 14.4Branches, 2016: 13.3Branches, 2017: 11.9Branches, 2018: 11.3Branches, 2019: 10.1Branches, 2020: 8.6Branches, 2021: 8.1Branches, 2022: 7.5Branches, 2023: 7.1Branches 7.1ATMs, 2004: 16.5ATMs, 2005: 40.9ATMs, 2006: 40.7ATMs, 2007: 44.1ATMs, 2008: 46.8ATMs, 2009: 64.5ATMs, 2010: 65.8ATMs, 2011: 70.6ATMs, 2012: 73.0ATMs, 2013: 72.9ATMs, 2014: 72.3ATMs, 2015: 72.4ATMs, 2016: 70.5ATMs, 2017: 69.1ATMs, 2018: 68.1ATMs, 2019: 64.5ATMs, 2020: 56.4ATMs, 2021: 55.0ATMs, 2022: 52.6ATMs, 2023: 53.1ATMs 53.1

Source: IMF Financial Access Survey Access points per 100,000 adults (FA26N, FA18N). 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 adults500750100012501500175020042007201020132016201920222023Deposit accts, 2009: 1136.3Deposit accts, 2010: 1229.9Deposit accts, 2011: 1239.2Deposit accts, 2012: 1201.8Deposit accts, 2013: 1034.2Deposit accts, 2014: 1261.7Deposit accts, 2015: 1307.3Deposit accts, 2016: 1312.6Deposit accts, 2017: 1379.4Deposit accts, 2018: 1372.5Deposit accts, 2019: 1362.0Deposit accts, 2020: 1511.8Deposit accts, 2021: 1388.7Deposit accts, 2022: 1442.9Deposit accts, 2023: 1545.9Deposit accts 1545.9Loan accts, 2014: 616.3Loan accts, 2015: 651.6Loan accts, 2016: 657.1Loan accts, 2017: 657.8Loan accts, 2018: 616.2Loan accts, 2019: 606.9Loan accts, 2020: 633.1Loan accts, 2021: 627.4Loan accts, 2022: 655.6Loan accts, 2023: 704.5Loan accts 704.5

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