Qatar: Automated teller machines (ATMs) (per 100,000 adults)

Key figures

What the numbers say

In 2023, Qatar's automated teller machines (ATMs) (per 100,000 adults) rose 2.19 on 2022 (from 61.23 to 63.42).

Across the 18 yearly changes before that (2005 to 2022), the average change was +0.64 and a typical year strayed about 5.04 from that (the standard deviation). This year's change was 0.3 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

On record, the biggest yearly rise was 10.52 in 2012 and the biggest yearly fall was 5.87 in 2008. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2014 to 2023 there is no clear straight-line trend: a straight line explains 14% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

How it compares

In 2023, Qatar had the 6th highest value of the 12 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.

Closest to Qatar in the 2023 ranking

• France — 2nd of 12: 77.65
• Germany — 3rd of 12: 70.92
• Costa Rica — 4th of 12: 64
• United Arab Emirates — 6th of 12: 53.06
• Dominican Republic — 7th of 12: 40.11
• Sweden — 8th of 12: 23.5

What this measures

Automated teller machines (ATMs) are electromechanical devices which enable customers of financial institutions to perform financial transactions such as cash withdrawals, balance inquiries, deposits, transfer of funds, and obtaining account information, using an electronic card.

Limitations: Population-based ratios of the number of branches and ATMs assume a uniform distribution of bank outlets within a country's area and across its population, while in most countries bank branches and ATMs are concentrated in urban centers of the country and are accessible only to some individuals.

Regional and income-group figures are computed by the World Bank as a median.

All 20 values

Automated teller machines (ATMs) (per 100,000 adults) in nearby economies

• Afghanistan — 1.79 (2019)
• Algeria — 12.09 (2024)
• Bahrain — 31.36 (2024)
• Djibouti — 17.64 (2024)
• Egypt, Arab Rep. — 37.06 (2024)
• Iran, Islamic Rep. — 83.63 (2018)
• Iraq — 14.18 (2023)
• Israel — 133.06 (2024)
• Jordan — 30.36 (2024)
• Kuwait

More financial sector data for Qatar

• Net domestic credit (current LCU) — 1.54 trillion (2025)
• Net foreign assets (current LCU) — -243.38 billion (2025)
• Broad money (current LCU) — 743.4 billion (2025)
• Broad money to total reserves ratio — 3.66 (2025)
• DEC alternative conversion factor (LCU per US$) — US$3.64 (2025)
• Official exchange rate (LCU per US$, period average) — US$3.64 (2025)
• Claims on central government (annual growth as % of broad money) — 7.35% (2025)
• Claims on private sector (annual growth as % of broad money) — 5.87% (2025)
• Broad money (annual % growth) — 3.51% (2025)
• Domestic credit to private sector by banks (% of GDP)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
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Questions people ask

What is Qatar's automated teller machines (ATMs) (per 100,000 adults)?

63.42 in 2023, according to the World Bank (World Development Indicators).

How has it changed since 2004?

It is up 27.6% from 49.7 in 2004 (1.29% a year on average, compounded). The highest value was 72.04 in 2012 and the lowest 44.38 in 2008.

How does Qatar rank?

6th highest of 12 economies with data for 2023.

Is the latest change in automated teller machines (ATMs) (per 100,000 adults) unusual for Qatar?

In 2023, Qatar's automated teller machines (ATMs) (per 100,000 adults) rose 2.19 on 2022 (from 61.23 to 63.42). Across the 18 yearly changes before that (2005 to 2022), the average change was +0.64 and a typical year strayed about 5.04 from that (the standard deviation). This year's change was 0.3 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

Source

World Bank, World Development Indicators, indicator FB.ATM.TOTL.P5, licensed CC BY 4.0. Original source: Financial Access Survey, International Monetary Fund (IMF), uri: https://data.imf.org/?sk=E5DCAB7E-A5CA-4892-A6EA-598B5463A34C Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

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