Name: Population Estimates and Projections
Creator: World Bank Group
Published: 2011-11-02

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

Realising opportunities for evidence-based cancer service delivery and research: linking cancer registry and administrative data in A ustralia

International perspectives on homeownership and home equity extraction by senior households

Tobacco control in Africa

Investigating the environmental Kuznets Curve and the role of green energy: Emerging and developed markets

The Korea Nurses health study: a prospective cohort study

The cost-effectiveness of multi-purpose HIV and pregnancy prevention technologies in South Africa

The role of scenario uncertainty in estimating the benefits of carbon mitigation

Evolving food consumption patterns of rural and urban households in developing countries: A Bangladesh case

Population Structure and Housing Prices: Evidence from Chinese Provincial Panel Data

Male population between the ages 60 to 64.

Population ages 60-64, male

Female population between the ages 65 to 69.

Population ages 65-69, female

Male population between the ages 70 to 74.

Population ages 70-74, male

Male population between the ages 75 to 79.

Population ages 75-79, male

Female population between the ages 35 to 39.

Population ages 35-39, female

Male population between the ages 35 to 39.

Population ages 35-39, male

Female population between the ages 45 to 49.

Population ages 45-49, female

Female population between the ages 50 to 54.

Population ages 50-54, female

Male population between the ages 55 to 59.

Population ages 55-59, male

Female population between the ages 60 to 64.

Population ages 60-64, female

Female population between the ages 80 and above.

Population ages 80 and above, female

Male population between the ages 80 and above.

Population ages 80 and above, male

Male population between the ages 10 to 14.

Population ages 10-14, male

Female population between the ages 15 to 19.

Population ages 15-19, female

Male population between the ages 15 to 19.

Population ages 15-19, male

Male population between the ages 25 to 29.

Population ages 25-29, male

Female population between the ages 40 to 44.

Population ages 40-44, female

Male population between the ages 50 to 54.

Population ages 50-54, male

Number of deaths of adolescents ages 10-14 years

Number of deaths ages 10-14 years

Number of female infants dying before reaching one year of age.

Number of infant deaths, female

Number of male infants dying before reaching one year of age.

Number of infant deaths, male

Number of male children dying before reaching age five.

Number of under-five deaths, male

Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.

Probability of dying among children ages 5-9 years (per 1,000)

Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.

Probability of dying among youth ages 20-24 years (per 1,000)

Female population between the ages 10 to 14.

Population ages 10-14, female

Female population between the ages 25 to 29.

Population ages 25-29, female

Female population between the ages 30 to 34.

Population ages 30-34, female

Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.

Age population, age 19, male, interpolated

Age population, age 22, male, interpolated

Age population, age 23, male, interpolated

Sex ratio at birth refers to male births per female births. The data are 5 year averages.

Sex ratio at birth (male births per female births)

Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.

Age dependency ratio (% of working-age population)

Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

Population, total

Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.

Population, female

Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population, female (% of total population)

Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship.

Population, male

Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.

Rural population

Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.

Urban population growth (annual %)

Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.

Urban population

Number of deaths of children ages 5-9 years

Number of deaths ages 5-9 years

Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.

Age population, age 01, female, interpolated

Age population, age 02, male, interpolated

Age population, age 04, female, interpolated

Age population, age 04, male, interpolated

Age population, age 05, female, interpolated

Age population, age 07, female, interpolated

Age population, age 07, male, interpolated

Age population, age 08, female, interpolated

Age population, age 10, male, interpolated

Age population, age 11, female, interpolated

Age population, age 12, male, interpolated

Age population, age 13, female, interpolated

Age population, age 14, female, interpolated

Age population, age 14, male, interpolated

Age population, age 15, male, interpolated

Age population, age 16, male, interpolated

Age population, age 18, female, interpolated

Female population between the ages 35 to 39 as a percentage of the total female population.

Population ages 35-39, female (% of female population)

Female population between the ages 40 to 44 as a percentage of the total female population.

Population ages 40-44, female (% of female population)

Female population between the ages 45 to 49 as a percentage of the total female population.

Population ages 45-49, female (% of female population)

Female population between the ages 50 to 54 as a percentage of the total female population.

Population ages 50-54, female (% of female population)

Male population between the ages 50 to 54 as a percentage of the total male population.

Population ages 50-54, male (% of male population)

Female population between the ages 55 to 59 as a percentage of the total female population.

Population ages 55-59, female (% of female population)

Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population ages 65 and above, female

Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population ages 65 and above, female (% of female population)

Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population ages 65 and above, male

Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population ages 65 and above, male (% of male population)

Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population ages 65 and above, total

Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population ages 65 and above (% of total population)

Female population between the ages 70 to 74 as a percentage of the total female population.

Population ages 70-74, female (% of female population)

Female population between the ages 80 and above as a percentage of the total female population.

Population ages 80 and older, female (% of female population)

Female population between the ages 0 to 4.

Population ages 00-04, female

Female population between the ages 0 to 4 as a percentage of the total female population.

Population ages 00-04, female (% of female population)

Population ages 00-04, male

Male population between the ages 0 to 4 as a percentage of the total male population.

Population ages 00-04, male (% of male population)

Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Population Estimates and Projections

Metadata