Name: Human Capital Index
Creator: World Bank Group
Published: 2018-10-10

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

Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Fraction of Children Under 5 Not Stunted, Female

Fraction of Children Under 5 Not Stunted, Male

Adult survival rate is calculated by subtracting the mortality rate for 15-60 year-olds from 1. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Survival Rate from Age 15-60, Female

Harmonized test scores from major international student achievement testing programs.They are measured in TIMMS-equivalent units, where 300 is minimal attainment and 625 is advanced attainment. Most recent estimates are used.  Year of most recent estimate shown in data notes. 

Test scores from the following testing programs are included:
• TIMSS/PIRLS:  Refers to average of test scores from TIMSS (Trends in International Maths and Science Study) and PIRLS (Progress in International Reading Literacy Study), both carried out by the International Association for the Evaluation of Educational Achievement. Data from each PIRLS round is moved to the year of the nearest TIMSS round and averaged with the TIMSS data.     
• PISA:  Refers to test scores from Programme for International Student Assessment
• PISA+TIMSS/PIRLS:  Refers to the average of these programs for countries and years where both are available
• SACMEQ:  Refers to test scores from Southern and Eastern Africa Consortium for Monitoring Educational Quality 
• PASEC: Refers to test scores from Program of Analysis of Education Systems
• LLECE:  Refers to test scores from Latin American Laboratory for Assessment of the Quality of Education
• PILNA: Refers to test scores from Pacific Islands Literacy and Numeracy Assessment
• EGRA:  Refers to test scores from nationally-representative Early Grade Reading Assessments  
• EGRANR:  Refers to test scores from non-nationally-representative Early Grade Reading Assessments

Harmonized Test Scores

Learning-adjusted years of school are calculated by multiplying the estimates of expected years of school by the ratio of most recent harmonized test scores to 625.

Learning-Adjusted Years of School

Learning-Adjusted Years of School, Female

The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.

Human Capital Index (HCI), Female (scale 0-1)

The HCI lower bound reflects uncertainty in the measurement of  the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI.  The range between the upper and lower bound is the uncertainty interval.  While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.

Human Capital Index (HCI), Female, Lower Bound (scale 0-1)

Human Capital Index (HCI), Male (scale 0-1)

The HCI upper bound reflects uncertainty in the measurement of  the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI.  The range between the upper and lower bound is the uncertainty interval.  While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.

Human Capital Index (HCI), Male, Upper Bound (scale 0-1)

Harmonized Test Scores, Male

Learning-Adjusted Years of School, Male

Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Probability of Survival to Age 5

Probability of Survival to Age 5, Female

Probability of Survival to Age 5, Male

Human Capital Index (HCI) (scale 0-1)

Human Capital Index (HCI), Lower Bound (scale 0-1)

Human Capital Index (HCI), Male, Lower Bound (scale 0-1)

Human Capital Index (HCI), Upper Bound (scale 0-1)

Human Capital Index (HCI), Female, Upper Bound (scale 0-1)

Fraction of Children Under 5 Not Stunted

Survival Rate from Age 15-60

Survival Rate from Age 15-60, Male

Expected years of school is calculated as the sum of age-specific enrollment rates between ages 4 and 17. Age-specific enrollment rates are approximated using school enrollment rates at different levels: pre-primary enrollment rates approximate the age-specific enrolment rates for 4 and 5 year-olds; the primary rate approximates for 6-11 year-olds; the lower-secondary rate approximates for 12-14 year-olds; and the upper-secondary approximates for 15-17 year-olds. Most recent estimates are used.  Year of most recent primary enrollment rate used is shown  in data notes.

Expected Years of School

Expected Years of School, Female

Expected Years of School, Male

Harmonized Test Scores, Female

Internal news story that provides an overview of the Human Capital Project and previews its launch at the 2018 Annual Meetings.

Human Capital Index

Metadata