Data

Share of adults with an account at a financial institution

What you should know about this indicator

How is this data described by its producer?

Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+).

Periodicity:

Triennial

Aggregation method:

Weighted average

Statistical concept and methodology:

Methodology: Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+). Assessment conducted triennially Statistical concept(s): Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+). Assessment conducted triennially

Development relevance:

Financial inclusion allows individuals and firms to take advantage of business opportunities, invest in education, save for retirement, and insure against risks (Demirgüç-Kunt et al., 2008). At the G20 Summit in 2010 held in Seoul, South Korea, financial inclusion was recognized as one of the nine key pillars of the global development agenda (GPFI, 2011). Therefore, financial inclusion is a key pillar to country development since financial inclusion ensures that everyone benefits from banking services and help to eradicate poverty and reduce inequality. In this sense, financial inclusion should be understood as the coexistence of a variety of formal financial services, offered at a fair price, in the right place, in the form and time required, and without inequity to all agents of the economy, especially for at-risk groups such as unprotected segments and low-income families (see, for example, Agarwal, 2010; Hannig and Stefan, 2010; Sarma and Pais, 2011; Kumar, 2013; Ghosh and Dixit, 2014; Talledo, 2015; Aparicio et al., 2016; Schmied and Marr, 2016; among others). In addition, nowadays, financial inclusion is a key pillar to green finance since sustainable development is the path way to the future in the way that if offers a framework to increase the levels of per capita GDP. In this line, financial development and economic growth have received considerable attention across recent decades (Levine et al., 2000; Bruce et al., 2013), and there is consensus around the positive effect of financial variables on economic growth (Levine, 2005). Over time, the position of the financial sector in relation to economic growth has generated increasing research, with the literature generally focused on economic growth as associated with domestic savings, capital accumulation, technological innovation, income growth, and financial determination (Levine et al., 2000; Honohan, 2004; DFID, 2004; Levine, 2004; Andrianova and Demetriades, 2008). https://www.sciencedirect.com/science/article/pii/S2110701724000027

Other notes:

Each economy is classified based on the classification of World Bank Group's fiscal year 2022 (July 1, 2021-June 30, 2022).

Source
Global Findex Database - World Bank (2026)processed by Our World in Data
Last updated
February 27, 2026
Next expected update
February 2027
Date range
2011–2024
Unit
% age 15+

Sources and processing

Global Findex Database - World Bank – World Development Indicators

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
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.
Global Findex Database, World Bank (WB), uri: https://www.worldbank.org/en/publication/globalfindex. Indicator FX.OWN.TOTL.ZS (https://data.worldbank.org/indicator/FX.OWN.TOTL.ZS). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
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.
Global Findex Database, World Bank (WB), uri: https://www.worldbank.org/en/publication/globalfindex. Indicator FX.OWN.TOTL.ZS (https://data.worldbank.org/indicator/FX.OWN.TOTL.ZS). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

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.

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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: Share of adults with an account at a financial institution”. Our World in Data (2026). Data adapted from Global Findex Database - World Bank. Retrieved from https://archive.ourworldindata.org/20260512-185716/grapher/account-at-financial-institution.html [online resource] (archived on May 12, 2026).

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:

Global Findex Database - World Bank (2026) – processed by Our World in Data

Full citation

Global Findex Database - World Bank (2026) – processed by Our World in Data. “Share of adults with an account at a financial institution” [dataset]. Global Findex Database - World Bank, “World Development Indicators 125” [original data]. Retrieved May 16, 2026 from https://archive.ourworldindata.org/20260512-185716/grapher/account-at-financial-institution.html (archived on May 12, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/account-at-financial-institution.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/account-at-financial-institution.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/account-at-financial-institution.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/account-at-financial-institution.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/account-at-financial-institution.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/account-at-financial-institution.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/account-at-financial-institution.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/account-at-financial-institution.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear