Top 100 Countries by Human Capital Index, Latest Edition
The Human Capital Index estimates how productive a child born today is expected to be as a future worker, relative to a benchmark of full health and complete education. On the standard 0–1 scale, an HCI score of 0.70 means expected future productivity reaches 70% of that benchmark.
The key timing point is straightforward. The classic HCI still comes from the World Bank’s 2010–2020 database. In February 2026, the Bank launched HCI+, a broader measure that extends the horizon to age 65, but HCI+ is not the same series as the classic HCI used for long-run country comparison. For ranking purposes, the latest cleanly comparable classic edition remains the 2020 update.
Top 10 countries by Human Capital Index
The top of the HCI ranking is dominated by countries that combine strong schooling outcomes, high expected years of school, low under-5 mortality, and stronger child health conditions. These countries differ in income, geography, and policy model, but they all convert schooling and health conditions into consistently strong human-capital outcomes.
Singapore
Singapore leads the classic HCI ranking with one of the clearest combinations of learning quality, health outcomes, and educational continuity.
Hong Kong SAR, China
Hong Kong stays near the top because its mix of education and health outcomes translates into a very strong expected productivity score.
Japan
Japan remains in the upper tier thanks to consistently strong basic human-capital inputs and durable education performance.
Republic of Korea
Korea combines strong learning outcomes and health conditions with a very high expected adult productivity level.
Canada
Canada remains part of the top group because it performs broadly well across the main schooling and health inputs used by the index.
Finland
Finland remains one of the strongest human-capital performers in Europe on the classic HCI scale.
Ireland
Ireland ranks highly because the HCI components point to a strong long-run base for future worker productivity.
Estonia
Estonia sits in the top group because its education performance is strong relative to both size and income level.
Netherlands
The Netherlands stays near the top because it combines stable health conditions with strong expected learning-adjusted school years.
United Kingdom
The UK closes the top 10 with a strong overall human-capital profile on the classic World Bank index.
Main reading: the top of the HCI table is less about raw spending and more about how effectively countries convert health and schooling conditions into future worker productivity.
Chart 1. Top 20 countries by HCI score
The top 20 cluster is relatively tight. That matters because small gaps at the very top often separate countries that are all already performing strongly on the main HCI components. Very small differences between close scores should be read cautiously. The index works best as a broad comparative lens rather than a precision ranking tool for tiny gaps.
Values are shown on the standard 0–1 HCI scale.
Full Top 100 ranking
The table keeps the comparison simple: rank, country, HCI score, and the implied productivity share relative to the full benchmark. Search, sorting, filters, and Top 10 / Top 20 / All views make comparison easier without overloading the page.
| Rank | Country | HCI | Productivity |
|---|---|---|---|
| 1 | Singapore | 0.88 | 88% |
| 2 | Hong Kong SAR, China | 0.81 | 81% |
| 3 | Japan | 0.80 | 80% |
| 4 | Republic of Korea | 0.80 | 80% |
| 5 | Canada | 0.79 | 79% |
| 6 | Finland | 0.79 | 79% |
| 7 | Ireland | 0.79 | 79% |
| 8 | Estonia | 0.78 | 78% |
| 9 | Netherlands | 0.78 | 78% |
| 10 | United Kingdom | 0.78 | 78% |
| 11 | Australia | 0.77 | 77% |
| 12 | Denmark | 0.77 | 77% |
| 13 | Sweden | 0.77 | 77% |
| 14 | Germany | 0.76 | 76% |
| 15 | New Zealand | 0.76 | 76% |
| 16 | France | 0.75 | 75% |
| 17 | Belgium | 0.74 | 74% |
| 18 | Austria | 0.74 | 74% |
| 19 | Slovenia | 0.73 | 73% |
| 20 | Spain | 0.73 | 73% |
| 21 | China | 0.72 | 72% |
| 22 | Portugal | 0.72 | 72% |
| 23 | Czech Republic | 0.71 | 71% |
| 24 | Israel | 0.71 | 71% |
| 25 | Poland | 0.71 | 71% |
| 26 | Hungary | 0.70 | 70% |
| 27 | Slovak Republic | 0.70 | 70% |
| 28 | Lithuania | 0.70 | 70% |
| 29 | Croatia | 0.70 | 70% |
| 30 | Latvia | 0.69 | 69% |
| 31 | Malaysia | 0.69 | 69% |
| 32 | Chile | 0.68 | 68% |
| 33 | Romania | 0.68 | 68% |
| 34 | Thailand | 0.68 | 68% |
| 35 | Greece | 0.68 | 68% |
| 36 | Viet Nam | 0.67 | 67% |
| 37 | Bulgaria | 0.67 | 67% |
| 38 | Italy | 0.67 | 67% |
| 39 | Uruguay | 0.67 | 67% |
| 40 | United Arab Emirates | 0.67 | 67% |
| 41 | Brunei Darussalam | 0.66 | 66% |
| 42 | Qatar | 0.66 | 66% |
| 43 | Russian Federation | 0.66 | 66% |
| 44 | Costa Rica | 0.65 | 65% |
| 45 | Sri Lanka | 0.65 | 65% |
| 46 | Saudi Arabia | 0.65 | 65% |
| 47 | Serbia | 0.65 | 65% |
| 48 | Armenia | 0.64 | 64% |
| 49 | Mongolia | 0.64 | 64% |
| 50 | Argentina | 0.64 | 64% |
| 51 | Mauritius | 0.63 | 63% |
| 52 | India | 0.63 | 63% |
| 53 | Kazakhstan | 0.63 | 63% |
| 54 | Mexico | 0.63 | 63% |
| 55 | Philippines | 0.63 | 63% |
| 56 | Jordan | 0.62 | 62% |
| 57 | Georgia | 0.62 | 62% |
| 58 | Botswana | 0.62 | 62% |
| 59 | Indonesia | 0.62 | 62% |
| 60 | Tunisia | 0.61 | 61% |
| 61 | Ukraine | 0.61 | 61% |
| 62 | Brazil | 0.61 | 61% |
| 63 | Belarus | 0.61 | 61% |
| 64 | South Africa | 0.60 | 60% |
| 65 | Bahrain | 0.60 | 60% |
| 66 | Morocco | 0.60 | 60% |
| 67 | Cambodia | 0.59 | 59% |
| 68 | Peru | 0.59 | 59% |
| 69 | Namibia | 0.59 | 59% |
| 70 | Bosnia and Herzegovina | 0.59 | 59% |
| 71 | Lao PDR | 0.58 | 58% |
| 72 | Egypt | 0.58 | 58% |
| 73 | Albania | 0.58 | 58% |
| 74 | Kenya | 0.58 | 58% |
| 75 | Colombia | 0.57 | 57% |
| 76 | Ghana | 0.57 | 57% |
| 77 | Bangladesh | 0.57 | 57% |
| 78 | Rwanda | 0.57 | 57% |
| 79 | Dominican Republic | 0.56 | 56% |
| 80 | Senegal | 0.56 | 56% |
| 81 | Nepal | 0.56 | 56% |
| 82 | Zambia | 0.56 | 56% |
| 83 | Paraguay | 0.55 | 55% |
| 84 | Tanzania | 0.55 | 55% |
| 85 | Uganda | 0.55 | 55% |
| 86 | Ecuador | 0.54 | 54% |
| 87 | Benin | 0.54 | 54% |
| 88 | Bolivia | 0.54 | 54% |
| 89 | Ethiopia | 0.53 | 53% |
| 90 | Côte d’Ivoire | 0.53 | 53% |
| 91 | Pakistan | 0.53 | 53% |
| 92 | Cameroon | 0.52 | 52% |
| 93 | Guatemala | 0.52 | 52% |
| 94 | Madagascar | 0.52 | 52% |
| 95 | Zimbabwe | 0.51 | 51% |
| 96 | Mozambique | 0.51 | 51% |
| 97 | Nigeria | 0.50 | 50% |
| 98 | Togo | 0.50 | 50% |
| 99 | Mali | 0.49 | 49% |
| 100 | Burkina Faso | 0.49 | 49% |
The table is intended for broad comparison. Very small gaps between close scores should not be over-read.
Methodology
The World Bank’s classic Human Capital Index summarizes the future productivity of a child born today, relative to a benchmark of full health and complete education. The classic index combines survival, expected years of school, learning-adjusted years of school, stunting, and adult survival into one comparable score between 0 and 1.
The ranking here uses the latest globally comparable classic HCI edition, which remains the 2020 update. That matters because the classic HCI is still presented as a 2010–2020 database rather than as a continuously refreshed annual ranking. In February 2026, the World Bank launched HCI+, a broader working-life measure, but HCI+ is a separate series and is not mixed into the table above.
The country list is shown with two-decimal HCI values for readability. Region tags in the filters are editorial additions for navigation and are not part of the official HCI variable. The index is strongest as a broad comparative tool, not as a fine-grained instrument for treating tiny numerical differences as large substantive divides.
Main takeaway: the classic HCI remains highly useful for cross-country comparison, but it should be read as a broad productivity lens rather than a precision micro-ranking tool.
Key insights
- The leaders are not random. Countries near the top generally pair strong schooling outcomes with better health conditions in childhood and adolescence.
- Income helps, but it is not everything. Several upper-middle-income economies outperform richer peers, which shows that policy efficiency still matters.
- Vietnam remains the standout development story in the classic HCI narrative. It is one of the clearest cases where outcomes sit above what income alone would lead many readers to expect.
- HCI+ changes the frame, not the baseline. The 2026 launch of HCI+ broadens the conversation, but it does not reduce the value of the classic HCI as a pre-2026 cross-country baseline.
What this means for the reader
For readers comparing countries as education, migration, or long-term investment destinations, HCI is useful because it brings several health and learning signals together in one understandable measure. A higher HCI suggests that a country is doing more to preserve the future productivity of the next generation.
For policymakers and analysts, the ranking is most useful as an opening comparison, not as the final answer. The score can show where a country stands, but it cannot replace deeper analysis of learning poverty, teacher quality, health access, labor-market structure, or inequality.
For parents and students, the practical reading is straightforward: countries with stronger HCI scores usually provide a more reliable mix of child survival, schooling continuity, and learning effectiveness, which together matter far more than headline spending alone.
FAQ
What does an HCI score of 0.70 mean?
It means a child born today is expected to be 70% as productive as they could be under a benchmark of full health and complete education.
Why is the ranking not labeled as a classic 2025 HCI ranking?
Because the classic HCI is still presented in the World Bank framework as a 2010–2020 database. A newer annual classic edition is not implied where one does not exist.
What is HCI+ and why is it not mixed into this table?
HCI+ is a broader measure launched in 2026 that extends the human-capital horizon across working life. It is methodologically different from the classic HCI and should not be mixed into one ranking table.
Does a higher HCI automatically mean a country is richer?
No. Income and human capital are related, but they are not the same thing. Some countries convert resources into stronger outcomes more effectively than others.
Should tiny differences between close scores be read literally?
No. Small gaps near the top should be read with caution. The index is more reliable as a broad comparison tool than as a precise ladder for tiny differences.
Sources
- World Bank DataBank metadata — Human Capital Index. Official definition of the HCI, including the interpretation of the 0–1 scale.
https://databank.worldbank.org/metadataglossary/health-nutrition-and-population-statistics/series/HD.HCI.OVRL - World Bank — The Human Capital Index 2020 Update. Official classic HCI publication and methodological anchor for the latest globally comparable edition.
https://openknowledge.worldbank.org/entities/publication/93f8fbc6-4513-58e7-82ec-af4636380319 - World Bank — HCI+ launch note. Official announcement of the broader working-life extension introduced in February 2026.
https://www.worldbank.org/en/news/press-release/2026/02/12/the-world-bank-launches-hci-plus-a-broader-measure-of-human-capital - World Bank — Human Capital Project. Main World Bank hub for the Human Capital Project, including the HCI, HCI+, briefs, and related materials.
https://www.worldbank.org/en/publication/human-capital - World Bank Human Capital Data Portal — HCI indicator page. Official indicator page for the Human Capital Index with the standard 0–1 definition and data navigation tools.
https://humancapital.worldbank.org/en/indicator/WB_HCP_HCI
This page ranks countries using the latest comparable classic HCI edition and treats HCI+ as a separate measure rather than folding it into the same table.
