Explore The Human Capital Report dataset for insights into Human Capital Index, Development, and World Rankings. Find data on Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, and more.

Low income, Upper middle income, Lower middle income, High income, Human Capital Index (Lower Bound), Human Capital Index, Human Capital Index (Upper Bound), Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, Learning-Adjusted Years of School, Fraction of Children Under 5 Not Stunted, Adult Survival Rate, Development, Human Capital, World Rankings

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahrain, Bangladesh, Belarus, Belgium, Benin, Bhutan, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Croatia, Cyprus, Denmark, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Latvia, Lebanon, Lesotho, Liberia, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovenia, Solomon Islands, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Sweden, Switzerland, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Vietnam, Yemen, Zambia, Zimbabwe, WORLD

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Last year edition of the World Economic Forum Human Capital Report explored the factors contributing to the development of an educated, productive and healthy workforce. This year edition deepens the analysis by focusing on a number of key issues that can support better design of education policy and future workforce planning.

Nigeria NG: Human Capital Index (HCI): Scale 0-1 data was reported at 0.342 NA in 2017. Nigeria NG: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.342 NA from Dec 2017 (Median) to 2017, with 1 observations. Nigeria NG: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Human Capital Index. 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.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

United States US: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.757 NA in 2017. United States US: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.757 NA from Dec 2017 (Median) to 2017, with 1 observations. United States US: Human Capital Index (HCI): Female: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Human Capital Index. 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.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

A synthetic set of realistic, non-PII, fictitious employee profiles and test scenarios to test Human Resource (HR), Time and Attendance (T&A), and Payroll Systems.

The Human Capital Index (HCI) database provides data at the country level for each of the components of the Human Capital Index as well as for the overall index, disaggregated by gender. The index measures the amount of human capital that a child born today can expect to attain by age 18, given the risks of poor health and poor education that prevail in the country where she lives. It is designed to highlight how improvements in current health and education outcomes shape the productivity of the next generation of workers, assuming that children born today experience over the next 18 years the educational opportunities and health risks that children in this age range currently face.

For further details, please refer to https://www.worldbank.org/en/publication/human-capital/brief/the-human-capital-project-frequently-asked-questions#HCI8

Sudan SD: Human Capital Index (HCI): Scale 0-1 data was reported at 0.379 NA in 2017. Sudan SD: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.379 NA from Dec 2017 (Median) to 2017, with 1 observations. Sudan SD: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Human Capital Index. 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.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

Graph and download economic data for Index of Human Capital per Person for Nigeria (HCIYISNGA066NRUG) from 1960 to 2019 about Nigeria, capital, and indexes.

The HCIM comprises the official standards for human capital data collection and exchange, and aligns HC data collection and exchange needs with statutory, regulatory and policy guidance, The HCIM processes that produce the HCIM components establish HC data governance, management, and quality standards. Specifically, the HCIM consists of globally-defined metadata and information packages, which are used to standardize the collection and exchange of human capital data between federal agencies, federal shared services providers, policy-makers, regulators, academia, industry and the public.

This data has been created by the Regional Australia Institute for the [In]Sight competitive index released in 2012. Modelled on the World Economic Forums Global Competitiveness Report [In]Sight was developed in collaboration with Deloitte Access Economics and combines data from sources including the Australian Bureau of Statistics and the Social Health Atlas of Australia. Human capital is a measure of the capabilities and skills of the workforce in a particular region. Both health and education are major contributors to a region's level of human capital as both of these factors are understood to increase labour efficiency and competitiveness. Regions of non-metropolitan Australia which have high levels of human capital that is a well educated workforce and a propensity towards lifelong learning are expected to experience higher levels of economic growth are more adaptive and innovative and are more resilient to negative outside influences.

In 2020, Singapore scored 0.88 points on the Human Capital Index (HCI), marking the highest score in the Asia-Pacific region that year. The HCI measures how well a country mobilizes the economic and professional potential of its citizens and how much capital an economy loses due to poor education and health.

Review of Economics and Statistics: Forthcoming.

Health Poverty Index - Root Causes: Human Capital: Average examination results at three stages

Source: Department of Health (DoH), National Pupil Database (NPD), 2001-2002, and Pupil Level Annual School Census (PLASC), 2001-2002, Department for Education and Skills

Publisher: Health Poverty Index

Geographies: Local Authority District (LAD), National

Geographic coverage: England

Time coverage: 2001

Type of data: Administrative data

Graph and download economic data for Index of Human Capital per Person for Bangladesh (HCIYISBDA066NRUG) from 1959 to 2019 about Bangladesh, capital, and indexes.

This research establishes the influence of linguistic traits on human behavior. Exploiting variations in the languages spoken by children of migrants with identical ancestral countries of origin, the analysis indicates that the presence of periphrastic future tense, and its association with long-term orientation has a significant positive impact on educational attainment, whereas the presence of sex-based grammatical gender, and its association with gender bias, has a significant adverse impact on female educational attainment.

Iran IR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.591 NA in 2017. Iran IR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.591 NA from Dec 2017 (Median) to 2017, with 1 observations. Iran IR: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank: Human Capital Index. 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.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

ES: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.750 NA in 2017. ES: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.750 NA from Dec 2017 (Median) to 2017, with 1 observations. ES: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Spain – Table ES.World Bank: Human Capital Index. 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 lower 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.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

Welcome to the Human Capital Project (HCP), a global effort to accelerate more and better investments in people for greater equity and economic growth. In a post-COVID-19 pandemic world, it's even more important to understand why countries should invest in human capital (HC) and protect hard-won gains from being eroded. Find out why the World Bank, countries, and partners are coming together to close the massive HC gap in the world. Check out the Human Capital Network Fact Sheet, updated 2020 Human Capital Index, our videos, visualizations, frequently-asked-questions, and more. You too can help those around the world to #InvestinPeople.

The World Bank Group announced the Human Capital Project in 2017, with the launch of the Human Capital Index in October 2018, at the Annual Meetings held in Bali, Indonesia. As of November 2023, 92 economies have joined the Human Capital Project, which Gabriel Demombynes manages. Financed by the Bill & Melinda Gates Foundation and the Canadian government, the Human Capital Umbrella Program allows donors and partners to support human capital outcomes across the life cycle through a ‘whole-of-government’ approach. The program has informed 19 World Bank operations totaling $4.6 billion. The Human Capital Project has three pillars: Measurement and Indicators, Analytics and Operations, and Convening and Global Thought Leadership. The Human Capital Index (HCI) quantifies the contribution of health and education to the productivity of the next generation of workers. Ranging between 0 and 1, the index takes the value 1 only if a child born today can expect to achieve full health (defined as no stunting and survival

This dataset includes information on local levels of educational attainment in Belgium based on census data.

We provide evidence that college graduation plays a direct role in revealing ability to the labor market. Using the NLSY79, our results suggest that ability is observed nearly perfectly for college graduates, but is revealed to the labor market more gradually for high school graduates. Consequently, from the beginning of their careers, college graduates are paid in accordance with their own ability, while the wages of high school graduates are initially unrelated to their own ability. This view of ability revelation in the labor market has considerable power in explaining racial differences in wages, education, and returns to ability. (JEL D82, I21, I23, J24, J31)

Human Capital Management (HCM) Market Outlook

As per our latest research, the global Human Capital Management (HCM) market size reached USD 27.3 billion in 2024, reflecting robust adoption across industries. The market is expected to expand at a CAGR of 9.1% from 2025 to 2033, with the forecasted market size anticipated to reach USD 60.3 billion by 2033. This remarkable growth trajectory is driven by the increasing need for workforce optimization, digital transformation initiatives, and the rising demand for integrated HCM solutions that streamline HR processes, enhance employee engagement, and support data-driven decision-making.

The acceleration of digital transformation across enterprises is a primary catalyst for the expansion of the Human Capital Management market. Organizations are increasingly investing in advanced HCM solutions to automate core HR functions, improve talent acquisition, and enhance workforce analytics. The integration of artificial intelligence and machine learning into HCM software is enabling predictive analytics, personalized employee experiences, and automated compliance management. This technological evolution is not only improving the efficiency of HR departments but also providing strategic value by aligning human capital strategies with overall business objectives. Moreover, the shift towards remote and hybrid work models post-pandemic has necessitated robust HCM platforms that can manage distributed teams, monitor productivity, and ensure seamless communication across geographies.

Another significant growth factor is the increasing emphasis on employee experience and talent management. In a highly competitive labor market, organizations are prioritizing employee engagement, learning and development, and performance management. HCM solutions are evolving to offer comprehensive talent management modules that support recruitment, onboarding, training, succession planning, and performance appraisal. The ability to provide personalized learning paths, real-time feedback, and career development opportunities is helping organizations attract and retain top talent. Additionally, the growing importance of diversity, equity, and inclusion (DEI) initiatives is driving the adoption of HCM systems that offer analytics and reporting capabilities to track and improve DEI metrics.

Regulatory compliance and data security are also playing a crucial role in shaping the HCM market landscape. With the increasing complexity of labor laws, tax regulations, and data privacy requirements across different regions, organizations are seeking HCM solutions that can ensure compliance and mitigate risks. The need for centralized data management, audit trails, and real-time reporting is driving the demand for advanced HCM platforms. Furthermore, the rise in data breaches and cyber threats has heightened the focus on security features within HCM solutions, such as encryption, multi-factor authentication, and role-based access controls. These factors are compelling vendors to continuously innovate and enhance their offerings to meet the evolving needs of global enterprises.

From a regional perspective, North America currently dominates the Human Capital Management market, accounting for the largest share due to the high adoption of digital HR solutions and the presence of leading technology providers. However, the Asia Pacific region is witnessing the fastest growth, fueled by rapid economic development, increasing workforce digitization, and the proliferation of small and medium enterprises seeking scalable HCM platforms. Europe remains a significant market, driven by stringent labor regulations and a strong emphasis on workforce management and employee well-being. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, supported by growing investments in digital infrastructure and the modernization of HR practices.

Component Analysis

The Human Capital Management market by component is broadly segmented into software and services, each playin