The United Nations Development Programme (UNDP) compiles the Human Development Index (HDI) of 193 nations in the annual Human Development Report. The index considers the health, education, income and living conditions in a given country to provide a measure of human development which is comparable between countries and over time. [1] [2]
The HDI is the most widely used indicator of human development and has changed how people view the concept. [3] [4] However, several aspects of the index have received criticism. Some scholars have criticized how the factors are weighed, in particular how an additional year of life expectancy is valued differently between countries; [4] [5] and the limited factors it considers, noting the omission of factors such as the levels of distributional and gender inequality. [6] In response to the former, the UNDP introduced the inequality-adjusted Human Development Index (IHDI) in its 2010 report, and in response to the latter the Gender Development Index (GDI) was introduced in the 1995 report. [7] [8] Others have criticized the perceived oversimplification of using a single number per country. [9] [10]
To reflect developmental differences within countries, a subnational HDI (SHDI) featuring data for more than 1,600 regions was introduced in 2018 by the Global Data Lab at Radboud University in the Netherlands. [10] In 2020, the UNDP introduced another index, the planetary pressures–adjusted Human Development Index (PHDI), which decreases the scores of countries with a higher ecological footprint. [11]
The HDI was first published in 1990 with the goal of being a more comprehensive measure of human development than purely economic measures such as gross domestic product. The index incorporates three dimensions of human development: a long and healthy life, knowledge, and decent living standards. Various indicators are used to quantify how countries perform on each dimension. The indicators used in the 2022 report were life expectancy at birth; expected years of schooling for children; mean years of schooling for adults; and gross national income per capita. The indicators are used to create a health index, an education index and an income index, each with a value between 0 and 1. The geometric mean of the three indices—that is, the cube root of the product of the indices—is the human development index. A value above 0.800 is classified as very high, between 0.700 and 0.799 as high, 0.550 to 0.699 as medium, and below 0.550 as low. [1] [12] [13]
The data used to calculate HDI comes mostly from United Nations agencies and international institutions, such as United Nations Educational, Scientific and Cultural Organization (UNESCO), United Nations Department of Economic and Social Affairs, the World Bank, International Monetary Fund and Organisation for Economic Co-operation and Development (OECD). Rarely, when one of the indicators is missing, cross-country regression models are used. Due to improved data and methodology updates, HDI values are not comparable across human development reports; instead, each report recalculates the HDI for some previous years. [13] [14]
Dimensions | Indicators | Dimension index |
---|---|---|
Long and healthy life | Life expectancy at birth | Life expectancy index |
Knowledge | Expected years of schooling Mean years of schooling | Education index |
A decent standard of living | GNI per capita (PPP $) | GNI index |
The Human Development Report includes data for all 193 member states of the United Nations, [16] as well as Hong Kong SAR and the State of Palestine. However, the Human Development Index is not calculated for two UN member states: DPR Korea (North Korea) and Monaco, only some components of the index are calculated for these two countries. The Cook Islands, the Holy See (Vatican City), and Niue are the only three state parties within the United Nations System which are not included in the report. [17] In total, the HDI is available for 192 countries and one territory. [2]
Countries ranked from 1 to 69 in 2022 are designated "very high" HDI; those ranked from 70 to 118 are designated "high" HDI; those ranked from 119 to 159 are denoted "medium" HDI; and those ranked from 160 to 193 are designated "low" HDI.
Data is for the year 2022. [18]
Rank | Δ | Country or territory | HDI value | % annual growth (2010–2022) |
---|---|---|---|---|
1 | Switzerland | 0.967 | 0.24% | |
2 | (1) | Norway | 0.966 | 0.25% |
3 | Iceland | 0.959 | 0.28% | |
4 | (2) | Hong Kong | 0.956 | 0.38% |
5 | (1) | Denmark | 0.952 | 0.35% |
Sweden | 0.38% | |||
7 | (8) | Ireland | 0.950 | 0.38% |
(3) | Germany | 0.19% | ||
9 | (1) | Singapore | 0.949 | 0.25% |
10 | (1) | Netherlands | 0.946 | 0.26% |
(1) | Australia | 0.20% | ||
12 | (2) | Liechtenstein | 0.942 | 0.23% |
(3) | Belgium | 0.26% | ||
Finland | 0.27% | |||
15 | (3) | United Kingdom | 0.940 | 0.24% |
16 | (7) | New Zealand | 0.939 | 0.13% |
17 | (19) | United Arab Emirates | 0.937 | 1.04% |
18 | (5) | Canada | 0.935 | 0.22% |
19 | (3) | South Korea | 0.929 | 0.36% |
20 | (1) | Luxembourg | 0.927 | 0.14% |
(5) | United States | 0.10% | ||
22 | (1) | Slovenia | 0.926 | 0.33% |
(1) | Austria | 0.21% | ||
24 | (4) | Japan | 0.920 | 0.16% |
25 | (1) | Israel | 0.915 | 0.26% |
(3) | Malta | 0.50% | ||
27 | Spain | 0.911 | 0.40% | |
28 | (3) | France | 0.910 | 0.28% |
29 | (3) | Cyprus | 0.907 | 0.45% |
30 | Italy | 0.906 | 0.24% | |
31 | (2) | Estonia | 0.899 | 0.33% |
32 | (6) | Czech Republic | 0.895 | 0.22% |
33 | (3) | Greece | 0.893 | 0.18% |
34 | (3) | Bahrain | 0.888 | 0.80% |
35 | (3) | Andorra | 0.884 | 0.20% |
36 | (2) | Poland | 0.881 | 0.35% |
37 | (2) | Latvia | 0.879 | 0.51% |
(2) | Lithuania | 0.32% | ||
39 | (6) | Croatia | 0.878 | 0.53% |
40 | Qatar | 0.875 | 0.45% | |
(6) | Saudi Arabia | 0.70% | ||
42 | Portugal | 0.874 | 0.42% | |
43 | (10) | San Marino | 0.867 | 0.32% |
44 | Chile | 0.860 | 0.47% | |
45 | (9) | Turkey | 0.855 | 1.10% |
(5) | Slovakia | 0.14% | ||
47 | Hungary | 0.851 | 0.22% | |
48 | (6) | Argentina | 0.849 | 0.15% |
49 | Kuwait | 0.847 | 0.36% | |
50 | (1) | Montenegro | 0.844 | 0.38% |
51 | (2) | Saint Kitts and Nevis | 0.838 | 0.49% |
52 | (8) | Uruguay | 0.830 | 0.47% |
53 | (3) | Romania | 0.827 | 0.14% |
54 | (1) | Antigua and Barbuda | 0.826 | 0.18% |
55 | (7) | Brunei | 0.823 | 0.13% |
56 | (3) | Russia | 0.821 | 0.25% |
57 | (3) | Bahamas | 0.820 | 0.21% |
(5) | Panama | 0.47% | ||
59 | (7) | Oman | 0.819 | 0.22% |
60 | (3) | Trinidad and Tobago | 0.814 | 0.30% |
(4) | Georgia | 0.54% | ||
62 | (2) | Barbados | 0.809 | 0.18% |
63 | (6) | Malaysia | 0.807 | 0.41% |
64 | (5) | Costa Rica | 0.806 | 0.39% |
65 | (3) | Serbia | 0.805 | 0.39% |
66 | (6) | Thailand | 0.803 | 0.65% |
67 | (1) | Seychelles | 0.802 | 0.30% |
(4) | Kazakhstan | 0.38% | ||
69 | (11) | Belarus | 0.801 | 0.12% |
70 | (12) | Bulgaria | 0.799 | 0.09% |
71 | (3) | Palau | 0.797 | 0.23% |
72 | (1) | Mauritius | 0.796 | 0.44% |
73 | Grenada | 0.793 | 0.15% | |
74 | (8) | Albania | 0.789 | 0.25% |
75 | (18) | China | 0.788 | 1.02% |
76 | (2) | Armenia | 0.786 | 0.52% |
77 | (1) | Mexico | 0.781 | 0.37% |
78 | (4) | Iran | 0.780 | 0.26% |
(6) | Sri Lanka | 0.50% | ||
80 | (7) | Bosnia and Herzegovina | 0.779 | 0.68% |
81 | (5) | Saint Vincent and the Grenadines | 0.772 | 0.17% |
82 | (12) | Dominican Republic | 0.766 | 0.67% |
83 | (1) | Ecuador | 0.765 | 0.32% |
(7) | North Macedonia | 0.21% | ||
85 | (4) | Cuba | 0.764 | 0.16% |
86 | (5) | Moldova | 0.763 | 0.53% |
87 | (13) | Maldives | 0.762 | 0.81% |
(2) | Peru | 0.42% | ||
89 | (1) | Azerbaijan | 0.760 | 0.30% |
Brazil | 0.43% | |||
91 | (6) | Colombia | 0.758 | 0.29% |
92 | (1) | Libya | 0.746 | 0.31% |
93 | (5) | Algeria | 0.745 | 0.27% |
94 | (7) | Turkmenistan | 0.744 | 0.52% |
95 | (27) | Guyana | 0.742 | 1.11% |
96 | (2) | Mongolia | 0.741 | 0.48% |
97 | (8) | Dominica | 0.740 | 0.06% |
98 | (5) | Tonga | 0.739 | 0.35% |
99 | (3) | Jordan | 0.736 | 0.10% |
100 | (18) | Ukraine | 0.734 | 0.35% |
101 | (1) | Tunisia | 0.732 | 0.22% |
102 | (17) | Marshall Islands | 0.731 | NA [a] |
(6) | Paraguay | 0.36% | ||
104 | (2) | Fiji | 0.729 | 0.35% |
105 | (11) | Egypt | 0.728 | 0.73% |
106 | (6) | Uzbekistan | 0.727 | 0.62% |
107 | (7) | Vietnam | 0.726 | 0.60% |
108 | (10) | Saint Lucia | 0.725 | 0.07% |
109 | (21) | Lebanon | 0.723 | 0.29% |
110 | (6) | South Africa | 0.717 | 0.50% |
111 | (2) | Palestine | 0.716 | 0.33% |
112 | (1) | Indonesia | 0.713 | 0.56% |
113 | (2) | Philippines | 0.710 | 0.45% |
114 | (5) | Botswana | 0.708 | 0.69% |
115 | (7) | Jamaica | 0.706 | 0.06% |
116 | (7) | Samoa | 0.702 | 0.02% |
117 | (1) | Kyrgyzstan | 0.701 | 0.49% |
118 | (11) | Belize | 0.700 | 0.23% |
119 | (39) | Venezuela | 0.699 | 0.68% |
120 | (5) | Morocco | 0.698 | 1.21% |
(1) | Bolivia | 0.45% | ||
122 | (9) | Nauru | 0.696 | 1.84% |
123 | (6) | Gabon | 0.693 | 0.46% |
124 | (13) | Suriname | 0.690 | 0.07% |
125 | (10) | Bhutan | 0.681 | 1.32% |
126 | (2) | Tajikistan | 0.679 | 0.61% |
127 | (4) | El Salvador | 0.674 | 0.21% |
128 | (3) | Iraq | 0.673 | 0.57% |
129 | (12) | Bangladesh | 0.670 | 1.54% |
130 | Nicaragua | 0.669 | 0.76% | |
131 | (7) | Cape Verde | 0.661 | 0.15% |
132 | (7) | Tuvalu | 0.653 | 0.39% |
133 | (4) | Equatorial Guinea | 0.650 | 0.54% |
134 | (4) | India | 0.644 | 0.99% |
135 | (4) | Micronesia | 0.634 | 0.13% |
136 | (3) | Guatemala | 0.629 | 0.21% |
137 | (2) | Kiribati | 0.628 | 0.61% |
138 | (1) | Honduras | 0.624 | 0.38% |
139 | (2) | Laos | 0.620 | 0.90% |
140 | (4) | Vanuatu | 0.614 | 0.50% |
141 | (2) | São Tomé and Príncipe | 0.613 | 0.86% |
142 | (5) | Eswatini | 0.610 | 1.70% |
(8) | Namibia | 0.36% | ||
144 | (10) | Myanmar | 0.608 | 1.54% |
145 | (1) | Ghana | 0.602 | 0.44% |
146 | (3) | Nepal | 0.601 | 0.85% |
(2) | Kenya | 0.82% | ||
148 | (2) | Cambodia | 0.600 | 0.85% |
149 | (10) | Congo | 0.593 | 0.17% |
150 | (5) | Angola | 0.591 | 1.14% |
151 | (1) | Cameroon | 0.587 | 1.10% |
152 | (3) | Comoros | 0.586 | 0.94% |
153 | (2) | Zambia | 0.569 | 0.63% |
154 | (5) | Papua New Guinea | 0.568 | 1.12% |
155 | (18) | Timor-Leste | 0.566 | 1.01% |
156 | (4) | Solomon Islands | 0.562 | 0.13% |
157 | (1) | Syria | 0.557 | 1.42% |
158 | (1) | Haiti | 0.552 | 1.74% |
159 | (2) | Uganda | 0.550 | 0.80% |
(1) | Zimbabwe | 1.12% | ||
161 | (5) | Rwanda | 0.548 | 1.02% |
(2) | Nigeria | 0.97% | ||
163 | (2) | Togo | 0.547 | 1.29% |
164 | (3) | Pakistan | 0.540 | 0.71% |
(4) | Mauritania | 0.51% | ||
166 | (4) | Ivory Coast | 0.534 | 1.07% |
167 | (2) | Tanzania | 0.532 | 0.64% |
168 | Lesotho | 0.521 | 0.86% | |
169 | (1) | Senegal | 0.517 | 0.80% |
170 | (6) | Sudan | 0.516 | 0.45% |
171 | (4) | Djibouti | 0.515 | 1.67% |
172 | (1) | Malawi | 0.508 | 0.81% |
173 | (7) | Benin | 0.504 | 0.39% |
174 | (5) | Gambia | 0.495 | 0.82% |
175 | Eritrea | 0.493 | 0.62% | |
176 | (5) | Ethiopia | 0.492 | 1.55% |
177 | Liberia | 0.487 | 0.48% | |
(5) | Madagascar | 0.02% | ||
179 | (1) | Guinea-Bissau | 0.483 | 0.76% |
180 | DR Congo | 0.481 | 1.06% | |
181 | (2) | Guinea | 0.471 | 1.06% |
182 | (8) | Afghanistan | 0.462 | 0.24% |
183 | (1) | Mozambique | 0.461 | 1.04% |
184 | (1) | Sierra Leone | 0.458 | 0.80% |
185 | (2) | Burkina Faso | 0.438 | 1.37% |
186 | (5) | Yemen | 0.424 | 1.30% |
187 | (1) | Burundi | 0.420 | 0.32% |
188 | Mali | 0.410 | 0.08% | |
189 | (2) | Niger | 0.394 | 1.34% |
Chad | 0.66% | |||
191 | Central African Republic | 0.387 | 0.67% | |
192 | (2) | South Sudan | 0.381 | 0.53% |
193 | NA [b] | Somalia | 0.380 | NA [c] |
The Human Development Report also reports the HDI for various groups of countries. These include regional groupings based on the UNDP regional classifications, [19] HDI groups including the countries currently falling into a given HDI bracket, OECD members and various other UN groupings. [20] The aggregate HDI values are calculated in the same way as for individual countries with the input data being the weighted average for all countries with available data in the group. [21]
Region or group | 1990 | 2000 | 2010 | 2020 | 2021 | 2022 | % annual growth (1990–2020) |
---|---|---|---|---|---|---|---|
OECD | 0.795 | 0.840 | 0.875 | 0.897 | 0.899 | 0.906 | +0.40% |
Very high human development | 0.784 | 0.826 | 0.868 | 0.895 | 0.896 | 0.902 | +0.44% |
Europe and Central Asia | 0.664 | 0.681 | 0.746 | 0.793 | 0.796 | 0.802 | +0.59% |
East Asia and the Pacific | 0.507 | 0.592 | 0.684 | 0.748 | 0.749 | 0.766 | +1.31% |
High human development | 0.557 | 0.625 | 0.700 | 0.753 | 0.754 | 0.764 | +1.01% |
Latin America and the Caribbean | 0.633 | 0.689 | 0.733 | 0.755 | 0.754 | 0.763 | +0.59% |
World | 0.601 | 0.645 | 0.697 | 0.735 | 0.732 | 0.739 | +0.67% |
Small Island Developing States | 0.601 | 0.649 | 0.693 | 0.732 | 0.730 | 0.730 | +0.66% |
Arab states | 0.555 | 0.618 | 0.676 | 0.708 | 0.708 | 0.704 | +0.82% |
Developing countries | 0.513 | 0.569 | 0.638 | 0.687 | 0.685 | 0.694 | +0.98% |
South Asia | 0.442 | 0.500 | 0.576 | 0.638 | 0.632 | 0.641 | +1.01% |
Medium human development | 0.453 | 0.506 | 0.582 | 0.642 | 0.636 | 0.640 | +1.17% |
Sub-Saharan Africa | 0.407 | 0.430 | 0.503 | 0.549 | 0.547 | 0.549 | +1.00% |
Least developed countries | 0.357 | 0.408 | 0.487 | 0.542 | 0.540 | 0.542 | +1.40% |
Low human development | 0.356 | 0.399 | 0.477 | 0.519 | 0.518 | 0.517 | +1.27% |
The economy of Chad suffers from the landlocked country's geographic remoteness, drought, lack of infrastructure, and political turmoil. About 85% of the population depends on agriculture, including livestock herding. Of Africa's Francophone countries, Chad benefited least from the 50% devaluation of their currencies in January 1994. Financial aid from the World Bank, the African Development Bank, and other sources is directed mainly at improving agriculture, especially livestock production. Because of a lack of financing, the development of oil fields near Doba, originally due to finish in 2000, was delayed until 2003. It was finally developed and is now operated by ExxonMobil. Regarding gross domestic product, Chad ranks 147th globally with $11.051 billion as of 2018.
In ancient times, Maldives were renowned for cowries, coir rope, dried tuna fish, ambergris (maavaharu) and coco de mer (tavakkaashi). Local and foreign trading ships used to load these products in the Maldives and bring them abroad.
A developed country, or advanced country, is a sovereign state that has a high quality of life, developed economy, and advanced technological infrastructure relative to other less industrialized nations. Most commonly, the criteria for evaluating the degree of economic development are the gross domestic product (GDP), gross national product (GNP), the per capita income, level of industrialization, amount of widespread infrastructure and general standard of living. Which criteria are to be used and which countries can be classified as being developed are subjects of debate. Different definitions of developed countries are provided by the International Monetary Fund and the World Bank; moreover, HDI ranking is used to reflect the composite index of life expectancy, education, and income per capita. In 2023, 40 countries fit all four criteria, while an additional 19 countries fit three out of four.
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 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 concept of human development expands upon the notion of economic development to include social, political and even ethical dimensions. Since the mid-twentieth century, international organisations such as the United Nations and the World Bank have adopted human development as a holistic approach to evaluating a country’s progress that considers living conditions, social relations, individual freedoms and political institutions that contribute to freedom and well-being, in addition to standard measures of income growth.
Multidimensional Poverty Indices uses a range of indicators to calculate a summary poverty figure for a given population, in which a larger figure indicates a higher level of poverty. This figure considers both the proportion of the population that is deemed poor and the 'breadth' of poverty experienced by these 'poor' households, following the Alkire & Foster 'counting method'. The method was developed following increased criticism of monetary and consumption-based poverty measures, seeking to capture the deprivations in non-monetary factors that contribute towards well-being. While there is a standard set of indicators, dimensions, cutoffs and thresholds used for a 'Global MPI', the method is flexible and there are many examples of poverty studies that modify it to best suit their environment. The methodology has been mainly, but not exclusively, applied to developing countries.
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.