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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.
As of 2020, Singapore ranks first with 0.9, followed by Hong Kong (0.8) and Japan (0.8).
Across 172 countries and territories, values run from 0.9 (Singapore) to 0.3 (Chad), with a median of 0.6.
By region, the top 10 is made up of 5 from Asia, 4 from Europe and 1 from the Americas.
Source: World Bank Open Data โ Human Capital Index (HCI), Upper Bound (scale 0-1), 2020. Unit: scale 0-1.
Source: World Bank Open Data โ Human Capital Index (HCI), Upper Bound (scale 0-1) ยท CC BY 4.0 ยท fetched Oct 17, 2026