Data

Automated teller machines (ATMs)

What you should know about this indicator

Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place.

Limitations and exceptions: 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.

Statistical concept and methodology: Data are shown as the total number of ATMs for every 100,000 adults in the reporting country. Calculated as (number of ATMs)*100,000/adult population in the reporting country.

Source
Multiple sources compiled by World Bank (2024) – processed by Our World in Data
Last updated
May 20, 2024
Next expected update
May 2025
Date range
2004–2021
Unit
per 100,000 adults

Sources and processing

This data is based on the following sources

The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Retrieved on
May 20, 2024
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
World Bank's World Development Indicators (WDI).

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Automated teller machines (ATMs)”. Our World in Data (2024). Data adapted from International Monetary Fund (via World Bank). Retrieved from https://ourworldindata.org/grapher/automated-teller-machines-atms-per-100000-adults [online resource]
How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Multiple sources compiled by World Bank (2024) – processed by Our World in Data

Full citation

Multiple sources compiled by World Bank (2024) – processed by Our World in Data. “Automated teller machines (ATMs)” [dataset]. International Monetary Fund (via World Bank), “World Development Indicators” [original data]. Retrieved November 10, 2024 from https://ourworldindata.org/grapher/automated-teller-machines-atms-per-100000-adults