Iran, Islamic Rep.: Automated teller machines (ATMs) (per 100,000 adults)

Key figures

What the numbers say

In 2018, Iran, Islamic Rep.'s automated teller machines (ATMs) (per 100,000 adults) rose 10.42 on 2017 (from 73.21 to 83.63).

Across the 12 yearly changes before that (2006 to 2017), the average change was +5.74 and a typical year strayed about 1.96 from that (the standard deviation). This year's change was 2.4 standard deviations above that average, so it was unusually large compared with the rest of the record.

On record, the biggest yearly rise was 10.42 in 2018. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2009 to 2018 the straight-line trend is upward, about 6.67 a year. A straight line explains 100% 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.

Closest to Iran, Islamic Rep. in the 2018 ranking

• Tonga — 2nd of 4: 40.09
• Sudan — 3rd of 4: 6.22
• Congo, Dem. Rep. — 4th of 4: 1.3

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 14 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)
• Iraq — 14.18 (2023)
• Israel — 133.06 (2024)
• Jordan — 30.36 (2024)
• Kuwait — 58.04 (2024)
• Lebanon

More financial sector data for Iran, Islamic Rep.

• Consumer price index (2010 = 100) — 4,030 (2025)
• Inflation, consumer prices (annual % growth) — 42.17% (2025)
• GDP deflator (base year varies by country) — 342.89 (2025)
• DEC alternative conversion factor (LCU per US$) — US$742,604 (2025)
• Inflation, GDP deflator (annual % growth) — 28.78% (2025)
• Official exchange rate (LCU per US$, period average) — US$42,000 (2023)
• Monetary sector credit to private sector (% of GDP) — 57.83% (2016)
• Domestic credit to private sector (% of GDP) — 57.83% (2016)
• Domestic credit to private sector by banks (% of GDP)

Reading data like this

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Questions people ask

What is Iran, Islamic Rep.'s automated teller machines (ATMs) (per 100,000 adults)?

83.63 in 2018, according to the World Bank (World Development Indicators).

How has it changed since 2005?

It is up 1,836% from 4.32 in 2005 (25.6% a year on average, compounded). The highest value was 83.63 in 2018 and the lowest 4.32 in 2005.

Is the latest change in automated teller machines (ATMs) (per 100,000 adults) unusual for Iran, Islamic Rep.?

In 2018, Iran, Islamic Rep.'s automated teller machines (ATMs) (per 100,000 adults) rose 10.42 on 2017 (from 73.21 to 83.63). Across the 12 yearly changes before that (2006 to 2017), the average change was +5.74 and a typical year strayed about 1.96 from that (the standard deviation). This year's change was 2.4 standard deviations above that average, so it was unusually large compared with the rest of the record.

Where does this data come from?

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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