Congo, Dem. Rep.: Automated teller machines (ATMs) (per 100,000 adults)

Key figures

Over five years it is up 93.02% from 0.67 in 2013 (14.06% a year on average, compounded). Since 2009 it is up 1,311% from 0.09 in 2009 (34.19% a year on average, compounded).

What the numbers say

In 2018, Congo, Dem. Rep.'s automated teller machines (ATMs) (per 100,000 adults) rose 0.05 on 2017 (from 1.25 to 1.3).

Across the 8 yearly changes before that (2010 to 2017), the average change was +0.15 and a typical year strayed about 0.14 from that (the standard deviation). This year's change was 0.7 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 0.36 in 2014 and the biggest yearly fall was 0.11 in 2016. 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 0.14 a year. A straight line explains 94% 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 Congo, Dem. Rep. in the 2018 ranking

• Iran, Islamic Rep. — 1st of 4: 83.63
• Tonga — 2nd of 4: 40.09
• Sudan — 3rd of 4: 6.22

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 10 values

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

• Angola — 19.57 (2024)
• Benin — 3.97 (2024)
• Botswana — 37.93 (2024)
• Burkina Faso — 4.14 (2024)
• Burundi — 1.64 (2022)
• Cabo Verde — 59.37 (2024)
• Cameroon — 5.15 (2020)
• Central African Republic — 1.43 (2017)
• Chad — 1.7 (2022)
• Comoros

More financial sector data for Congo, Dem. Rep.

• GDP deflator (base year varies by country) — 1,316 (2025)
• DEC alternative conversion factor (LCU per US$) — US$2,677 (2025)
• Inflation, GDP deflator (annual % growth) — 7.8% (2025)
• Official exchange rate (LCU per US$, period average) — US$2,693 (2025)
• Broad money (current LCU) — 42.99 trillion (2025)
• Broad money (% of GDP) — 17.64% (2025)
• Domestic credit to private sector by banks (% of GDP) — 11.23% (2023)
• Net domestic credit (current LCU) — 23.76 trillion (2023)
• Net foreign assets (current LCU) — 18.33 trillion (2023)

Reading data like this

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Questions people ask

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

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

How has it changed since 2009?

It is up 1,311% from 0.09 in 2009 (34.19% a year on average, compounded). The highest value was 1.3 in 2018 and the lowest 0.09 in 2009.

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

In 2018, Congo, Dem. Rep.'s automated teller machines (ATMs) (per 100,000 adults) rose 0.05 on 2017 (from 1.25 to 1.3). Across the 8 yearly changes before that (2010 to 2017), the average change was +0.15 and a typical year strayed about 0.14 from that (the standard deviation). This year's change was 0.7 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

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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