Name: G20 Financial Inclusion Indicators
Creator: World Bank Group
Published: 2011-01-01

The BOOST initiative is a Bank-wide collaborative effort launched in 2010 to facilitate access to budget data and promote effective use for improved decision-making processes, transparency and accountability.

BOOST - Public Expenditure Database

This collection contains datasets that may be useful for analysis, response or modelling for the Coronavirus (COVID-19) pandemic.

Coronavirus (COVID-19) Related Datasets

The Data360 initiative aims to integrate high-value data and knowledge curated in the Bank’s verticals into a user-centered data platform. 

Data 360

The Development Data Partnership platform facilitates formation of public-private partnerships for solving development challenges with technology. Specifically, the Development Data Partnership Working Group organizes opportunities for WBG staff to work with technology companies who offer pro-bono data and resources.

Development Data Partnership

This collection contains discrepancy indexes for UN COMTRADE data that aims to capture both the frequency of missed reporting and its impact on overall recorded trade value

Discrepancy Index

A collection of datasets produced through partnership between the World Bank and the European Space Agency (ESA) Earth Observation for Sustainable Development (EO4SD) initiative.

Earth Observation for Sustainable Development

Open data and analytics for a sustainable energy future.

Energy Data Info

This collection features datasets to support building policies, institutions and investments for inclusive and sustainable growth.

Equitable Growth, Finance and Institutions

Project Page: https://worldbank.github.io/GEEST/README.html 

As part of the “Geospatial Assessment of Women Employment and Business Opportunities in the Energy Sector” project, open-source Gender-related spatial data was collected for 31 Small Island Developing States (SIDS) across the globe, resulting in curated and thoroughly documented geodatabases (GDBs) that are now ready to be explored! 
Fifty-nine spatial layers were identified and then researched for each country, covering the following categories: Demographics and Population | Renewable Energy | Energy Access | Education | Jobs and Finance | Digital Inclusion | Transportation | Safety | Amenities | Climate/Earth | Law/Policy/Government. 


However, not every country GDB contains all 59 data layers, as this was dependent on the availability of open-source data in each SIDS. Users are encouraged to check the accompanying metadata excel file for more information on the datasets in each GDB, the vintage, and the

Gender Spatial Data - Small Island States

A collection of datasets that contain geospatial data. These datasets have one or more resources in a geospatial data format.

Geospatial Datasets

Collection of useful datasets from IMF made available to Bank staff via <a href=http://mydatabank.worldbank.org>myDataBank</a>

IMF Dataset

A collection of datasets to help finance the global infrastructure gap.

Infrastructure Finance Datasets

Data and dataset subscriptions managed by the Library Network on agriculture, business, economics, energy, finance, health, risk, water, and more..

Library Databases

The LinkedIn-World Bank partnership offers data to help governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes.Visualizations for many of these data are available at <a href=https://linkedindata.worldbank.org/>linkedindata.worldbank.org</a>

LinkedIn Data for Development

Collection of merchandise trade data available to World Bank staff.

Merchandise Trade Data

This collection includes datasets associated with research organized under the Bank, <a href=http://prwp.worldbank.org target='_blank' title='Opens in a new window'>Policy Research Working Papers</a>.

Policy Research Working Papers

This collection contains data on disaster and climate risk assessments curated by the Global Facility for Disaster Reduction and Recovery (GFDRR).

Risk Data Library

This collection presents software tools and models developed by the World Bank to support monitoring, planning, programming and the economic evaluation of roads and highways works.

Road Software Tools

This spatial database, a product of the South Asia Region Chief Economist's (SARCE) Office, presents data collected from official sources and harmonized into different spatial levels. Data includes economic and environmental data across 12 topic areas, and includes data from four countries in South Asia (Bangladesh, Bhutan, India, and Nepal) for both 2001 and 2011.

SARCE Spatial Database

A collection of country Small Area Estimation (SAE) and Poverty Mapping that contains papers, shapefiles, and datasets produced through partnerships between the World Bank and country statistics offices.

Small area estimates / Poverty mapping

This collection consists of datasets compiled and created by the World Bank Data Lab in response to a request by the Syria Economic Monitor Team to explore alternative data sources to better understand changing trends in trade and economic activity, focusing on: surface cross-border transport routes, changes in observed agricultural production, observed nighttime lights, and reported conflict.

Syria Economic Monitor

A collection of relevant datasets to support operations in Ukraine.

Ukraine datasets

Catalogue lists all the data produced under the partnership contracts between the World Bank Group and the European Space Agency

World Bank (WBG) - European Space Agency (ESA) Database

A collection of datasets to help achieve universal access to reliable and fast internet services for all.

World Bank Digital Development Data

A collection of datasets to help achieve sustainable energy for all.

World Bank Energy Datasets

A collection of datasets to help achieve sustainable mobility for all.

World Bank Transport Data

From Data to a Water-Secure World for All. World Bank Water Data surrounding the three pillars of Sustain Water Resources, Deliver Services and Build Resilience.

World Bank Water Data

The World Development Report 2021: Data for Better Lives explores the tremendous potential of the changing data landscape to improve the lives of poor people, while also acknowledging its potential to open back doors that can harm individuals, businesses, and societies. To address this tension between the helpful and harmful potential of data, this Report calls for a new social contract that enables the use and reuse of data to create economic and social value, ensures equitable access to that value, and fosters trust that data will not be misused in harmful ways. The data used in the WDR2021 are curated as a collection here.

World Development Report 2021

The World Development Report 2022: Finance for an Equitable Recovery examines the central role of finance in the economic recovery from the COVID-19 pandemic. In doing so, it looks into the consequences of the crisis most likely to affect emerging economies and proposes a set of policies to mitigate the interconnected financial risks stemming from the pandemic and to steer economies toward a sustainable and equitable recovery. The data used in the WDR2022 are curated as a collection here.

World Development Report 2022

The World Settlement Footprint Collection includes country datasets describing the evolution of the built-area across the globe at a ~30m resolution.

World Settlement Footprint

Denotes the percentage of female respondents, age 15+, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year, female  (% age 15+)

Denotes the percentage of male respondents, age 15+, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year, male (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year, income, richest 60% (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year (% ages 15-34)

Denotes the percentage of respondents, age 60+, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year (% age 60+)

Denotes the percentage of female respondents, age 15+, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents
who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year, female (% age 15+)

Denotes the percentage of respondents in the poorest 40% of households, age 15+, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year, income, poorest 40% (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year, income, richest 60% (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year (% ages 15-34)

Denotes the percentage of respondents, ages 35-59, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year (% ages 35-59)

Denotes the percentage of respondents, age 15+, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

Received wages or government transfers into an account (% age 15+)

Denotes the percentage of female respondents, age 15+, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

Received wages or government transfers into an account, female (% age 15+)

Denotes the percentage of male respondents, age 15+, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

Received wages or government transfers into an account, male (% age 15+)

Denotes the percentage of respondents, ages 35-59, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

Received wages or government transfers into an account (% ages 35-59)

Denotes the percentage of respondents in the poorest 40% of households, age 15+, who report using a mobile phone or the internet to make or receive payments, to make a purchase, or to send or receive money through their financial institution account or through the use of a mobile money service in the past 12 months

Made payment using a mobile phone or the internet, income, poorest 40% (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report using a mobile phone or the internet to make or receive payments, to make a purchase, or to send or receive money through their financial institution account or through the use of a mobile money service in the past 12 months

Made payment using a mobile phone or the internet (% ages 15-34)

Denotes the percentage of respondents, ages 35-59, who report using a mobile phone or the internet to make or receive payments, to make a purchase, or to send or receive money through their financial institution account or through the use of a mobile money service in the past 12 months

Made payment using a mobile phone or the internet (% ages 35-59)

Denotes the percentage of male respondents, age 15+, who report either making  a deposit or a withdrawal using their account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Active account, male (% age 15+)

Denotes the percentage of respondents in the poorest 40% of households, age 15+, who report either making  a deposit or a withdrawal using their account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Active account, income, poorest 40% (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report either making  a deposit or a withdrawal using their account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Active account, income, richest 60% (% age 15+)

Denotes the percentage of respondents, age 60+, who report either making  a deposit or a withdrawal using their account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Active account (% age 60+)

Denotes the number of agents of payment service providers per 100,000 adults. Includes: agents of banks and other deposit taking institutions, as well as specialized entities such as money transfer operators and e-money issuers.

Agents of payment service providers per 100,000 adults

Denotes the percentage of respondents, ages 15-34, who report having access to a mobile phone

Access to a mobile phone (% ages 15-34)

Denotes the percentage of respondents, ages 35-59, who report having access to a mobile phone

Access to a mobile phone (% ages 35-59)

Denotes the percentage of female respondents, age 15+, who report having access to the internet in the home.

Access to internet, female (% age 15+)

Denotes the percentage of male respondents, age 15+, who report having access to the internet in the home.

Access to internet, male (% age 15+)

Denotes the percentage of respondents in the poorest 40% of households, age 15+, who report having access to the internet in the home.

Access to internet, income, poorest 40% (% age 15+)

Denotes the percentage of respondents, ages 35-59, who report having access to the internet in the home.

Access to internet (% ages 35-59)

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

ATMs per 100,000 adults

Denotes the total number of deposit accounts in commercial banks held by SMEs as a fraction of the total number of deposit accounts in commercial banks held by non-financial corporations. Calculated as: (number of deposit accounts by SMEs with commercial banks)/(number of deposit accounts with commercial banks - number of deposit accounts by households with commercial banks).

SME deposit accounts (as a % of non-financial corporation borrowers)

Denotes the total number of loans obtained by SMEs from a commercial bank as a fraction of the total loans obtained by non-financial corporations from commercial banks. Calculated as: (number of loan accounts by SMEs with commercial banks)/(number of loan accounts with commercial banks - number of loan accounts by households with commercial banks).

SME loan accounts (as a % of non-financial corporation borrowers)

Denotes the number of registered mobile agent outlets per 100,000 adults.

Mobile agent outlets per 100,000 adults

Denotes the number of mobile money transactions per 100,000 adults.

Mobile money transactions per 100,000 adults

Denotes the total number of loan accounts that are obtained by resident nonfinancial corporations (public and private) and households from commercial banks for every 1,000 adults in the reporting country. For several countries, however, data cover the total number of loan accounts by all clients. Calculated as: (number of loan accounts*1,000)/adult population in the reporting country.

Outstanding loans per 1,000 adults

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

Account, male (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Account (% ages 15-34)

Denotes the percentage of respondents, ages 35-59, who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Account (% ages 35-59)

Denotes the percentage of respondents, age 60+, who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months.

Account (% age 60+)

Denotes the percentage of SMEs (5-99 employees) with at least one female owner required to provide collateral on their bank loan.

SMEs with at least one female owner with a proportion of loans requiring collateral

Denotes the percentage of SMEs (5-99 employees) required to provide collateral on their bank loan.

SMEs with a proportion of loans requiring collateral

Denotes the percentage of SMEs (5-99 employees) with at least one female owner with an outstanding loan or line of credit from a bank or other formal financial institution.

SMEs with at least one female owner with an outstanding loan or line of credit

Denotes the percentage of female respondents, age 15+, who report saving or setting aside any money in the past 12 months for old age.

Saved for old age, female (% age 15+)

Denotes the percentage of male respondents, age 15+, who report saving or setting aside any money in the past 12 months for old age.

Saved for old age, male (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report saving or setting aside any money in the past 12 months for old age.

Saved for old age (% ages 15-34)

Denotes the percentage of female respondents, age 15+, who report saving or setting aside any money by using an account at a bank or another type of financial institution in the past 12 months.

Saved at a financial institution, female  (% age 15+)

Denotes the percentage of male respondents, age 15+, who report saving or setting aside any money by using an account at a bank or another type of financial institution in the past 12 months.

Saved at a financial institution, male (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report saving or setting aside any money by using an account at a bank or another type of financial institution in the past 12 months.

Saved at a financial institution, income, richest 60% (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report saving or setting aside any money by using an account at a bank or another type of financial institution in the past 12 months.

Saved at a financial institution (% ages 15-34)

Denotes the percentage of respondents, age 15+, who report borrowing any money from a bank or another type of financial institution in the past 12 months.

Borrowed from a financial institution or used a credit card (% age 15+)

Denotes the percentage of male respondents, age 15+, who report borrowing any money from a bank or another type of financial institution in the past 12 months.

Borrowed from a financial institution or used a credit card, male (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report borrowing any money from a bank or another type of financial institution in the past 12 months.

Borrowed from a financial institution or used a credit card, income, richest 60% (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report borrowing any money from a bank or another type of financial institution in the past 12 months.

Borrowed from a financial institution or used a credit card (% ages 15-34)

Denotes the percentage of respondents, ages 35-59, who report borrowing any money from a bank or another type of financial institution in the past 12 months.

Borrowed from a financial institution or used a credit card (% ages 35-59)

Denotes the percentage of respondents, age 60+, who report borrowing any money from a bank or another type of financial institution in the past 12 months.

Borrowed from a financial institution or used a credit card (% age 60+)

Denotes the percentage of respondents, age 15+, who report that in case of an emergency it is possible for them to come up with 1/20 of gross national income (GNI) per capita in local currency, and cite savings as their main source of this money.

Main source of emergency funds: savings (% age 15+)

Denotes the percentage of female respondents, age 15+, who report that in case of an emergency it is possible for them to come up with 1/20 of gross national income (GNI) per capita in local currency, and cite savings as their main source of this money.

Main source of emergency funds: savings, female  (% age 15+)

Denotes the percentage of male respondents, age 15+, who report that in case of an emergency it is possible for them to come up with 1/20 of gross national income (GNI) per capita in local currency, and cite savings as their main source of this money.

Main source of emergency funds: savings, male (% age 15+)

Denotes the percentage of respondents, ages 35-59, who report that in case of an emergency it is possible for them to come up with 1/20 of gross national income (GNI) per capita in local currency, and cite savings as their main source of this money.

Main source of emergency funds: savings (% ages 35-59)

Denotes the percentage of respondents, age 15+,  who report having a national identity card. (To see the full list of IDs included in the survey by country, visit the Global Findex web page at http://www.worldbank.org/globalfindex.)

Has a national identity card (% age 15+)

Denotes the percentage of female respondents, age 15+, who report having a national identity card. (To see the full list of IDs included in the survey by country, visit the Global Findex web page at http://www.worldbank.org/globalfindex.)

Has a national identity card, female (% age 15+)

Denotes the percentage of male respondents, age 15+, who report having a national identity card. (To see the full list of IDs included in the survey by country, visit the Global Findex web page at http://www.worldbank.org/globalfindex.)

Has a national identity card, male (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report having a national identity card. (To see the full list of IDs included in the survey by country, visit the Global Findex web page at http://www.worldbank.org/globalfindex.)

Has a national identity card, income, richest 60% (% age 15+)

Denotes the percentage of respondents, age 15+,  who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year (% age 15+)

Denotes the percentage of respondents in the poorest 40% of households, age 15+, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year, income, poorest 40% (% age 15+)

Denotes the percentage of respondents, ages 35-59, who report using a mobile phone or the internet to check their balance for a financial institution account in the past 12 months.

Used a mobile phone or the internet to check account balance in the past year (% ages 35-59)

Denotes the percentage of respondents, age 15+, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year (% age 15+)

Denotes the percentage of male respondents, age 15+, who report using a transaction account (with a bank or other formal financial institution or mobile money provider) to make or receive a digital financial payment in the past 12 months.

Made or received digital payments in the past year, male (% age 15+)

Denotes the percentage of respondents, age 60+, who report using mobile money, a debit or credit card, or a mobile phone to receive a payment through an account in the past 12 months. It also includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a financial institution account or through a mobile money account in the past 12 months

Made or received digital payments in the past year (% age 60+)

Denotes the percentage of respondents in the poorest 40% of households, age 15+, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

Received wages or government transfers into an account, income, poorest 40% (% age 15+)

Denotes the percentage of respondents in the richest 60% of households, age 15+, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

Received wages or government transfers into an account, income, richest 60% (% age 15+)

Denotes the percentage of respondents, ages 15-34, who report personally receiving payments from the government in the past 12 months directly into a financial institution account, into a card, or into a mobile money account. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector.

G20 Financial Inclusion Indicators

Metadata