0.800–1.000 (very high) 0.700–0.799 (high) 0.550–0.699 (medium) | 0.220–0.549 (low) Data unavailable |
0.900–0.910 0.850–0.899 0.800–0.849 0.750–0.799 0.700–0.749 0.650–0.699 | 0.600–0.649 0.550–0.599 0.500–0.549 0.450–0.499 0.400–0.449 | 0.350–0.399 0.300–0.349 0.250–0.299 0.222–0.249 Data unavailable |
This is a list of countries by inequality-adjusted Human Development Index (IHDI), as published by the UNDP in its 2024 Human Development Report. According to the 2016 Report, "The IHDI can be interpreted as the level of human development when inequality is accounted for", whereas the Human Development Index itself, from which the IHDI is derived, is "an index of potential human development (or the maximum IHDI that could be achieved if there were no inequality)". [1] [2] However the past several reports, including HDR 23/24, don't compare them in this way.
The index captures the HDI of the average (calculated using not arithmetic, but geometric mean) person in society, which is less than the aggregate HDI when there is inequality in the distribution of health, education and income. Under perfect equality, the HDI and IHDI are equal; the greater the difference between the two, the greater the inequality.
The IHDI, estimated for the world and specific countries, captures the losses in human development due to inequality in health, education and income. Losses in all three dimensions vary across countries, ranging from just a few percent (e.g. Czech Republic and Slovenia) up to over 40% (e.g. Angola and Comoros). Overall loss takes into account all three dimensions. [3]
The table below ranks countries according to their inequality-adjusted human development index (IHDI). Data is based on 2022 estimates.
Rank | Country | 2022 estimates (2024 report) [4] [5] | ||
---|---|---|---|---|
IHDI | HDI | Overall loss (%) due to inequality | ||
1 | Iceland | 0.910 | 0.959 | 5.1 |
2 | Norway | 0.903 | 0.966 | 6.5 |
3 | Denmark | 0.898 | 0.952 | 5.7 |
4 | Switzerland | 0.891 | 0.967 | 7.9 |
5 | Finland | 0.886 | 0.942 | 5.9 |
6 | Ireland | 0.886 | 0.950 | 6.7 |
7 | Netherlands | 0.885 | 0.946 | 6.4 |
8 | Slovenia | 0.882 | 0.926 | 4.8 |
9 | Germany | 0.881 | 0.950 | 7.3 |
10 | Sweden | 0.878 | 0.952 | 7.8 |
11 | Belgium | 0.878 | 0.942 | 6.8 |
12 | United Kingdom | 0.865 | 0.940 | 8.0 |
13 | Canada | 0.864 | 0.935 | 7.6 |
14 | Australia | 0.860 | 0.946 | 9.1 |
15 | Austria | 0.859 | 0.926 | 7.2 |
16 | United Arab Emirates | 0.859 | 0.937 | 8.3 |
17 | New Zealand | 0.856 | 0.939 | 8.8 |
18 | Czech Republic | 0.848 | 0.895 | 5.3 |
19 | Japan | 0.844 | 0.920 | 8.3 |
20 | South Korea | 0.841 | 0.929 | 9.5 |
21 | Hong Kong | 0.840 | 0.956 | 12.1 |
22 | Luxembourg | 0.839 | 0.927 | 9.5 |
23 | Malta | 0.837 | 0.915 | 8.5 |
24 | Estonia | 0.835 | 0.899 | 7.1 |
25 | Cyprus | 0.827 | 0.907 | 8.8 |
26 | Singapore | 0.825 | 0.949 | 13.1 |
27 | United States | 0.823 | 0.927 | 11.2 |
28 | France | 0.820 | 0.910 | 9.9 |
29 | Croatia | 0.817 | 0.878 | 6.9 |
30 | Andorra | 0.810 | 0.884 | 8.4 |
31 | Israel | 0.808 | 0.915 | 11.7 |
32 | Slovakia | 0.808 | 0.855 | 5.5 |
33 | Latvia | 0.802 | 0.879 | 8.8 |
34 | Italy | 0.802 | 0.906 | 11.5 |
35 | Greece | 0.801 | 0.893 | 10.3 |
36 | Hungary | 0.800 | 0.851 | 6.0 |
37 | Poland | 0.797 | 0.881 | 9.5 |
38 | Spain | 0.796 | 0.911 | 12.6 |
39 | Lithuania | 0.795 | 0.879 | 9.6 |
40 | Portugal | 0.774 | 0.874 | 11.4 |
41 | Montenegro | 0.756 | 0.844 | 10.4 |
42 | Belarus | 0.750 | 0.801 | 6.4 |
43 | Russia | 0.747 | 0.821 | 9.0 |
44 | Argentina | 0.747 | 0.849 | 12.0 |
45 | Serbia | 0.740 | 0.805 | 8.1 |
46 | Romania | 0.739 | 0.827 | 10.6 |
47 | Kazakhstan | 0.734 | 0.802 | 8.5 |
48 | Georgia | 0.728 | 0.814 | 10.6 |
49 | Brunei Darussalam | 0.727 | 0.823 | 11.7 |
50 | Oman | 0.721 | 0.819 | 12.0 |
51 | Armenia | 0.721 | 0.786 | 8.3 |
52 | Uruguay | 0.720 | 0.830 | 13.3 |
53 | Turkey | 0.717 | 0.855 | 16.1 |
54 | Seychelles | 0.715 | 0.802 | 10.8 |
55 | Azerbaijan | 0.707 | 0.760 | 7.0 |
56 | Chile | 0.704 | 0.860 | 18.1 |
57 | Bulgaria | 0.703 | 0.799 | 12.0 |
58 | Moldova | 0.698 | 0.763 | 8.5 |
59 | Malaysia | 0.692 | 0.807 | 14.3 |
60 | Albania | 0.687 | 0.789 | 12.9 |
61 | Thailand | 0.681 | 0.803 | 15.2 |
62 | North Macedonia | 0.679 | 0.765 | 11.2 |
63 | Ukraine | 0.676 | 0.734 | 7.9 |
64 | Bosnia and Herzegovina | 0.667 | 0.779 | 14.4 |
65 | Bahamas | 0.663 | 0.820 | 19.1 |
66 | China | 0.662 | 0.788 | 16.0 |
67 | Costa Rica | 0.656 | 0.806 | 18.6 |
68 | Tonga | 0.654 | 0.739 | 11.5 |
69 | Panama | 0.647 | 0.820 | 21.1 |
70 | Mongolia | 0.645 | 0.741 | 13.0 |
71 | Mexico | 0.641 | 0.781 | 17.9 |
72 | Kyrgyzstan | 0.634 | 0.701 | 9.6 |
73 | Palau | 0.633 | 0.797 | 20.6 |
74 | Fiji | 0.632 | 0.729 | 13.3 |
75 | Sri Lanka | 0.630 | 0.780 | 19.2 |
76 | Ecuador | 0.630 | 0.765 | 17.6 |
77 | Dominican Republic | 0.627 | 0.766 | 18.1 |
78 | Mauritius | 0.625 | 0.796 | 21.5 |
79 | Marshall Islands | 0.620 | 0.731 | 15.2 |
80 | Barbados | 0.617 | 0.809 | 23.7 |
81 | Jordan | 0.615 | 0.736 | 16.4 |
82 | Peru | 0.607 | 0.762 | 20.3 |
83 | Vietnam | 0.607 | 0.726 | 16.4 |
84 | Samoa | 0.602 | 0.702 | 14.2 |
85 | Venezuela | 0.600 | 0.699 | 14.2 |
86 | Maldives | 0.597 | 0.762 | 21.7 |
87 | Philippines | 0.590 | 0.710 | 16.9 |
88 | Algeria | 0.588 | 0.745 | 21.1 |
89 | Indonesia | 0.588 | 0.713 | 17.5 |
90 | Palestine | 0.587 | 0.716 | 18.0 |
91 | Tajikistan | 0.585 | 0.679 | 13.8 |
92 | Iran | 0.584 | 0.780 | 25.1 |
93 | Jamaica | 0.584 | 0.706 | 17.3 |
94 | Paraguay | 0.582 | 0.731 | 20.4 |
95 | Brazil | 0.577 | 0.760 | 24.1 |
World | 0.576 | 0.739 | 22.1 | |
96 | Tunisia | 0.574 | 0.732 | 21.6 |
97 | Colombia | 0.568 | 0.758 | 25.1 |
98 | Egypt | 0.561 | 0.728 | 22.9 |
99 | Bolivia | 0.560 | 0.698 | 19.8 |
100 | El Salvador | 0.548 | 0.674 | 18.7 |
101 | Tuvalu | 0.545 | 0.653 | 16.5 |
102 | Saint Lucia | 0.539 | 0.725 | 25.7 |
103 | Kiribati | 0.528 | 0.628 | 15.9 |
104 | Gabon | 0.526 | 0.693 | 24.1 |
105 | Iraq | 0.519 | 0.673 | 22.9 |
106 | Morocco | 0.508 | 0.698 | 27.2 |
107 | Nicaragua | 0.507 | 0.669 | 24.2 |
108 | Botswana | 0.488 | 0.708 | 31.1 |
109 | Honduras | 0.480 | 0.624 | 23.1 |
110 | Myanmar | 0.475 | 0.608 | 21.9 |
111 | Cabo Verde | 0.471 | 0.661 | 28.7 |
112 | Bangladesh | 0.470 | 0.670 | 29.9 |
113 | Laos | 0.466 | 0.620 | 24.8 |
114 | Bhutan | 0.465 | 0.681 | 31.7 |
115 | South Africa | 0.462 | 0.717 | 35.6 |
116 | São Tomé and Príncipe | 0.459 | 0.613 | 25.1 |
117 | Guatemala | 0.453 | 0.629 | 28.0 |
118 | India | 0.444 | 0.644 | 31.1 |
119 | Cambodia | 0.438 | 0.600 | 27.0 |
120 | Kenya | 0.438 | 0.601 | 27.1 |
121 | Nepal | 0.424 | 0.601 | 29.5 |
122 | Timor-Leste | 0.407 | 0.566 | 28.1 |
123 | Papua New Guinea | 0.407 | 0.568 | 28.3 |
124 | Namibia | 0.399 | 0.615 | 34.6 |
125 | Republic of the Congo | 0.385 | 0.593 | 35.1 |
126 | Ghana | 0.378 | 0.602 | 37.2 |
127 | Rwanda | 0.377 | 0.548 | 31.2 |
128 | Uganda | 0.377 | 0.550 | 31.5 |
129 | Eswatini | 0.372 | 0.610 | 39.0 |
130 | Tanzania | 0.372 | 0.532 | 30.1 |
131 | Zimbabwe | 0.370 | 0.550 | 32.7 |
132 | Nigeria | 0.369 | 0.548 | 32.7 |
133 | Cameroon | 0.362 | 0.587 | 38.3 |
134 | Pakistan | 0.360 | 0.540 | 33.3 |
135 | Malawi | 0.359 | 0.508 | 29.3 |
136 | Mauritania | 0.351 | 0.540 | 35.0 |
137 | Togo | 0.345 | 0.547 | 36.9 |
138 | Angola | 0.344 | 0.591 | 41.8 |
139 | Zambia | 0.344 | 0.569 | 39.5 |
140 | Djibouti | 0.341 | 0.515 | 33.8 |
141 | Haiti | 0.335 | 0.552 | 39.3 |
142 | Senegal | 0.334 | 0.517 | 35.4 |
143 | Comoros | 0.334 | 0.586 | 43.0 |
144 | Lesotho | 0.332 | 0.521 | 36.3 |
145 | Sudan | 0.331 | 0.516 | 35.9 |
146 | Madagascar | 0.328 | 0.487 | 32.6 |
147 | Ethiopia | 0.324 | 0.492 | 34.1 |
148 | Côte d'Ivoire | 0.318 | 0.534 | 40.4 |
149 | Democratic Republic of the Congo | 0.315 | 0.481 | 34.5 |
150 | Gambia | 0.311 | 0.495 | 37.2 |
151 | Liberia | 0.310 | 0.487 | 36.3 |
152 | Guinea-Bissau | 0.310 | 0.483 | 35.8 |
153 | Benin | 0.309 | 0.504 | 38.7 |
154 | Afghanistan | 0.300 | 0.462 | 35.1 |
155 | Yemen | 0.285 | 0.424 | 32.8 |
156 | Guinea | 0.285 | 0.471 | 39.5 |
157 | Sierra Leone | 0.277 | 0.458 | 39.5 |
158 | Mali | 0.277 | 0.410 | 32.4 |
159 | Burundi | 0.273 | 0.420 | 35.0 |
160 | Mozambique | 0.270 | 0.461 | 41.4 |
161 | Niger | 0.262 | 0.394 | 33.5 |
162 | Burkina Faso | 0.261 | 0.438 | 40.4 |
163 | Chad | 0.238 | 0.394 | 39.6 |
164 | Central African Republic | 0.237 | 0.387 | 38.8 |
165 | South Sudan | 0.222 | 0.381 | 41.7 |
The economy of Cameroon was one of the most prosperous in Africa for a quarter of a century after independence. The drop in commodity prices for its principal exports – petroleum, cocoa, coffee, and cotton – in the mid-1980s, combined with an overvalued currency and economic mismanagement, led to a decade-long recession. Real per capita GDP fell by more than 60% from 1986 to 1994. The current account and fiscal deficits widened, and foreign debt grew. Yet because of its oil reserves and favorable agricultural conditions, Cameroon still has one of the best-endowed primary commodity economies in sub-Saharan Africa.
The economy of Saint Vincent and the Grenadines is heavily dependent on agriculture, being the world's leading producer of arrowroot and grows other exotic fruit, vegetables and root crops. Bananas alone account for upwards of 60% of the work force and 50% of merchandise exports in Saint Vincent and the Grenadines. Such reliance on a single crop makes the economy vulnerable to external factors. St. Vincent's banana growers benefited from preferential access to the European market. In view of the European Union's announced phase-out of this preferred access, economic diversification is a priority.
The Human Development Index (HDI) is a statistical composite index of life expectancy, education, and per capita income indicators, which is used to rank countries into four tiers of human development. A country scores a higher level of HDI when the lifespan is higher, the education level is higher, and the gross national income GNI (PPP) per capita is higher. It was developed by Pakistani economist Mahbub ul-Haq and was further used to measure a country's development by the United Nations Development Programme (UNDP)'s Human Development Report Office.
The capability approach is a normative approach to human welfare that concentrates on the actual capability of persons to achieve lives they value rather than solely having a right or freedom to do so. It was conceived in the 1980s as an alternative approach to welfare economics.
The Human Poverty Index (HPI) was an indication of the poverty of community in a country, developed by the United Nations to complement the Human Development Index (HDI) and was first reported as part of the Human Development Report in 1997. It is developed by United Nations Development Program which also publishes indexes like HDI It was considered to better reflect the extent of deprivation in deprived countries compared to the HDI. In 2010, it was supplanted by the UN's Multidimensional Poverty Index.
The Human Development Report (HDR) is an annual Human Development Index report published by the Human Development Report Office of the United Nations Development Programme (UNDP).
The Gender Development Index (GDI) is an index designed to measure gender equality.
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The Gender Inequality Index (GII) is an index for the measurement of gender disparity that was introduced in the 2010 Human Development Report 20th anniversary edition by the United Nations Development Programme (UNDP). According to the UNDP, this index is a composite measure to quantify the loss of achievement within a country due to gender inequality. It uses three dimensions to measure opportunity cost: reproductive health, empowerment, and labor market participation. The new index was introduced as an experimental measure to remedy the shortcomings of the previous indicators, the Gender Development Index (GDI) and the Gender Empowerment Measure (GEM), both of which were introduced in the 1995 Human Development Report.
Measures of gender equality or inequality are statistical tools employed to quantify the concept of gender equality.