Human Capital Index
The Human Capital Index is a report prepared by the World Bank. The Index measures which countries are best in mobilizing the economic and professional potential of its citizens. The index measures how much capital each country loses through lack of education and health. The Index was first published in October 2018 and ranked 157 countries. The Human Capital Index ranges between 0 and 1, with 1 meaning maximum potential is reached.[1]
As of the current rankings, Singapore ranks first on the Human Capital Index.[2]
Methodology
The Index is grounded on the following three pillars:[3] The applications to measuring human capital are developed in research by Noam Angrist, Simeon Djankov, Pinelopi Koujianou Goldberg and Harry Patrinos.
Survival
- Share of children surviving past the age of 5 in %
School
- Quantity of education (Expected years of schooling by age 18)
- Quality of education (Harmonized test scores)
Health
- Adult survival rates (Share of 15-year-olds who survive until age 60 in %)
- Healthy growth among children (Stunting rates of children under 5 in %)
Human Capital Index 2018
The Human Capital Index was first published as part of the World Bank's World Development Report 2019, directed by Simeon Djankov and Federica Saliola. Nobel Prize winner Paul Romer started the measurement.
Rank | Country | Score (% of potential reached) |
---|---|---|
1 | Singapore | 0.88 |
2 | South Korea | 0.84 |
3 | Japan | 0.84 |
4 | Hong Kong | 0.82 |
5 | Finland | 0.81 |
6 | Ireland | 0.81 |
7 | Australia | 0.80 |
8 | Sweden | 0.80 |
9 | Netherlands | 0.80 |
10 | Canada | 0.80 |
11 | Germany | 0.79 |
12 | Austria | 0.79 |
13 | Slovenia | 0.79 |
14 | Czech Republic | 0.78 |
15 | United Kingdom | 0.78 |
16 | Portugal | 0.78 |
17 | Denmark | 0.77 |
18 | Norway | 0.77 |
19 | Italy | 0.77 |
20 | Switzerland | 0.77 |
21 | New Zealand | 0.77 |
22 | France | 0.76 |
23 | Israel | 0.76 |
24 | United States | 0.76 |
25 | Macao | 0.76 |
26 | Belgium | 0.76 |
27 | Serbia | 0.76 |
28 | Cyprus | 0.75 |
29 | Estonia | 0.75 |
30 | Poland | 0.75 |
31 | Kazakhstan | 0.75 |
32 | Spain | 0.74 |
33 | Iceland | 0.74 |
34 | Russia | 0.73 |
35 | Latvia | 0.72 |
36 | Croatia | 0.72 |
37 | Lithuania | 0.71 |
38 | Hungary | 0.70 |
39 | Malta | 0.70 |
40 | Slovakia | 0.69 |
41 | Luxembourg | 0.69 |
42 | Greece | 0.69 |
43 | Seychelles | 0.68 |
44 | Bulgaria | 0.68 |
45 | Chile | 0.67 |
46 | China | 0.67 |
47 | Bahrain | 0.67 |
48 | Vietnam | 0.67 |
49 | United Arab Emirates | 0.66 |
50 | Ukraine | 0.65 |
51 | Mongolia | 0.63 |
52 | Mauritius | 0.63 |
53 | Turkey | 0.63 |
54 | Oman | 0.62 |
55 | Malaysia | 0.62 |
56 | Albania | 0.62 |
57 | Costa Rica | 0.62 |
58 | Bosnia and Herzegovina | 0.62 |
59 | Montenegro | 0.62 |
60 | Qatar | 0.61 |
61 | Georgia | 0.61 |
62 | Trinidad and Tobago | 0.61 |
63 | Argentina | 0.61 |
64 | Mexico | 0.61 |
65 | Thailand | 0.60 |
66 | Ecuador | 0.60 |
67 | Romania | 0.60 |
68 | Uruguay | 0.60 |
69 | Azerbaijan | 0.59 |
70 | Colombia | 0.59 |
71 | Iran | 0.59 |
72 | Peru | 0.59 |
73 | Saudi Arabia | 0.58 |
74 | Sri Lanka | 0.58 |
75 | Moldova | 0.58 |
76 | Kyrgyzstan | 0.58 |
77 | Kuwait | 0.58 |
78 | Armenia | 0.57 |
79 | Jordan | 0.56 |
80 | Kosovo | 0.56 |
81 | Brazil | 0.56 |
82 | Palestine | 0.55 |
83 | Tuvalu | 0.55 |
84 | Philippines | 0.55 |
85 | Jamaica | 0.54 |
86 | Lebanon | 0.54 |
87 | Indonesia | 0.53 |
88 | North Macedonia | 0.53 |
89 | Tajikistan | 0.53 |
90 | Paraguay | 0.53 |
91 | Panama | 0.53 |
92 | Nicaragua | 0.53 |
93 | Algeria | 0.52 |
94 | Kenya | 0.52 |
95 | Tonga | 0.51 |
96 | Tunisia | 0.51 |
97 | El Salvador | 0.50 |
98 | Morocco | 0.50 |
99 | Guyana | 0.49 |
100 | Cambodia | 0.49 |
101 | Dominican Republic | 0.49 |
102 | Nepal | 0.49 |
103 | Honduras | 0.49 |
104 | Egypt | 0.49 |
105 | Kiribati | 0.48 |
106 | Bangladesh | 0.48 |
107 | Myanmar | 0.47 |
108 | Vanuatu | 0.47 |
109 | Guatemala | 0.46 |
110 | Gabon | 0.45 |
111 | Laos | 0.45 |
112 | Haiti | 0.45 |
113 | Solomon Islands | 0.44 |
114 | Zimbabwe | 0.44 |
115 | India | 0.44 |
116 | Ghana | 0.44 |
117 | Namibia | 0.43 |
118 | Timor-Leste | 0.43 |
119 | Botswana | 0.42 |
120 | Republic of the Congo | 0.42 |
121 | Senegal | 0.42 |
122 | Togo | 0.41 |
123 | Comoros | 0.41 |
124 | Eswatini | 0.41 |
125 | Malawi | 0.41 |
126 | South Africa | 0.41 |
127 | Benin | 0.41 |
128 | Tanzania | 0.40 |
129 | Iraq | 0.40 |
130 | Gambia | 0.40 |
131 | Zambia | 0.40 |
132 | Cameroon | 0.39 |
133 | Afghanistan | 0.39 |
134 | Pakistan | 0.39 |
135 | Ethiopia | 0.38 |
136 | Papua New Guinea | 0.38 |
137 | Uganda | 0.38 |
138 | Burundi | 0.38 |
139 | Sudan | 0.38 |
140 | Madagascar | 0.37 |
141 | Guinea | 0.37 |
142 | Rwanda | 0.37 |
143 | Lesotho | 0.37 |
144 | Burkina Faso | 0.37 |
145 | Yemen | 0.37 |
146 | Democratic Republic of the Congo | 0.37 |
147 | Angola | 0.36 |
148 | Mozambique | 0.36 |
149 | Ivory Coast | 0.35 |
150 | Mauritania | 0.35 |
151 | Sierra Leone | 0.35 |
152 | Nigeria | 0.34 |
153 | Liberia | 0.32 |
154 | Mali | 0.32 |
155 | Niger | 0.32 |
156 | South Sudan | 0.30 |
157 | Chad | 0.29 |
See also
References
- Edwards, Sophie (2019-04-01). "Q&A: World Bank human capital index gathers momentum". Devex.
- "Human Capital Index 2018" (PDF). International Bank for Reconstruction and Development. The World Bank. 2018.
- Kraay, Aart (2018-09-25). Methodology for a World Bank Human Capital Index. Policy Research Working Papers. The World Bank. doi:10.1596/1813-9450-8593. hdl:10986/30466.