Middle East, North Africa, Afghanistan & Pakistan: Automated teller machines (ATMs) (per 100,000 adults)

Key figures

What the numbers say

In 2024, Middle East, North Africa, Afghanistan & Pakistan's automated teller machines (ATMs) (per 100,000 adults) rose 0.8 on 2023 (from 30.56 to 31.36).

Across the 19 yearly changes before that (2005 to 2023), the average change was +1.3 and a typical year strayed about 1.75 from that (the standard deviation). This year's change was 0.3 standard deviations below 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 5.05 in 2007 and the biggest yearly fall was 1.56 in 2005. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2015 to 2024 the straight-line trend is upward, about 0.6 a year. A straight line explains 86% of the movement over 10 observed years.

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

How it compares

See how every economy compares in the full ranking.

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 21 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 Middle East, North Africa, Afghanistan & Pakistan

• Domestic credit to private sector by banks (% of GDP) — 52.26% (2025)
• Monetary sector credit to private sector (% of GDP) — 50.77% (2020)
• Inflation, GDP deflator (annual % growth) — 2.2% (2025)
• Claims on central government, etc. (% of GDP) — 23.05% (2020)
• Broad money (% of GDP) — 78.66% (2017)
• Domestic credit to private sector (% of GDP) — 52.41% (2020)
• Inflation, consumer prices (annual % growth) — 2.04% (2025)

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Questions people ask

What is Middle East, North Africa, Afghanistan & Pakistan's automated teller machines (ATMs) (per 100,000 adults)?

31.36 in 2024, according to the World Bank (World Development Indicators).

How has it changed since 2004?

It is up 433.7% from 5.88 in 2004 (8.73% a year on average, compounded). The highest value was 32.11 in 2022 and the lowest 4.32 in 2005.

Is the latest change in automated teller machines (ATMs) (per 100,000 adults) unusual for Middle East, North Africa, Afghanistan & Pakistan?

In 2024, Middle East, North Africa, Afghanistan & Pakistan's automated teller machines (ATMs) (per 100,000 adults) rose 0.8 on 2023 (from 30.56 to 31.36). Across the 19 yearly changes before that (2005 to 2023), the average change was +1.3 and a typical year strayed about 1.75 from that (the standard deviation). This year's change was 0.3 standard deviations below 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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