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File:HDI2023Incrimental2.svg
World map of countries or territories by HDI scores in increments of 0.050 (based on 2023 data, published in 2025) Template:Legend-col

The Human Development Index (HDI) is a statistical composite index of life expectancy, education (mean years of schooling completed and expected years of schooling upon entering the education system), 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.<ref>Template:Cite journal</ref><ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref><ref name="auto">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref><ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>

The 2010 Human Development Report introduced an inequality-adjusted Human Development Index (IHDI). While the simple HDI remains useful, it stated that "the IHDI is the actual level of human development (accounting for this inequality), while the HDI can be viewed as an index of 'potential' human development (or the maximum level of HDI) that could be achieved if there was no inequality."<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>

The index is based on the human development approach, developed by Mahbub ul-Haq, anchored in Amartya Sen's work on human capabilities, and often framed in terms of whether people are able to "be" and "do" desirable things in life. Examples include — being: well-fed, sheltered, and healthy; doing: work, education, voting, participating in community life. The freedom of choice is considered central — someone choosing to be hungry (e.g. when fasting for religious reasons) is considered different from someone who is hungry because they cannot afford to buy food, or because the country is going through a famine.<ref name="auto1">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>

The index does not take into account several factors, such as the net wealth per capita or the relative quality of goods in a country. This situation tends to lower the ranking of some of the most developed countries, such as the G7 members and others.<ref>Template:Cite book</ref>

OriginsEdit

The origins of the HDI are found in the annual Human Development Reports produced by the Human Development Report Office of the United Nations Development Programme (UNDP). These annual reports were devised and launched by Pakistani economist Mahbub ul-Haq in 1990, and had the explicit purpose "to shift the focus of development economics from national income accounting to people-centered policies". He believed that a simple composite measure of human development was needed to convince the public, academics and politicians that they can, and should, evaluate development not only by economic advances but also improvements in human well-being.

File:Human Development Index Underlying Principles.svg
The underlying principle behind the Human Development Index<ref name="auto1"/>

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Dimensions and calculationEdit

New method (2010 HDI onwards)Edit

Published on 4 November 2010 (and updated on 10 June 2011), the 2010 Human Development Report calculated the HDI combining three dimensions:<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref><ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>

In its 2010 Human Development Report, the UNDP began using a new method of calculating the HDI. The following three indices are used:

1.Template:Anchor Life Expectancy Index (LEI) <math>= \frac{\textrm{LE} - 20}{85-20} = \frac{\textrm{LE} - 20}{65}</math>

LEI is equal to 1 when life expectancy at birth is 85 years, and 0 when life expectancy at birth is 20 years.

2. Education Index (EI) <math>= \frac{{\textrm{MYSI} + \textrm{EYSI}}} {2}</math><ref>Template:Cite news</ref>

2.1 Mean Years of Schooling Index (MYSI) <math>= \frac{\textrm{MYS}}{15}</math><ref>Mean years of schooling (of adults) (years) is a calculation of the average number of years of education received by people ages 25 and older in their lifetime based on education attainment levels of the population converted into years of schooling based on theoretical duration of each level of education attended. Source: Template:Cite journal</ref>
Fifteen is the projected maximum of this indicator for 2025.
2.2 Expected Years of Schooling Index (EYSI) <math>= \frac{\textrm{EYS}}{18}</math><ref>(ESYI is a calculation of the number of years a child is expected to attend school, or university, including the years spent on repetition. It is the sum of the age-specific enrollment ratios for primary, secondary, post-secondary non-tertiary and tertiary education and is calculated assuming the prevailing patterns of age-specific enrollment rates were to stay the same throughout the child's life. Expected years of schooling is capped at 18 years. (Source: UNESCO Institute for Statistics (2010). Correspondence on education indicators. March. Montreal.)</ref>
Eighteen is equivalent to achieving a master's degree in most countries.

3. Income Index (II) <math>= \frac{\ln(\textrm{GNIpc}) - \ln(100)}{\ln(75,000) - \ln(100)} = \frac{\ln(\textrm{GNIpc}) - \ln(100)}{\ln(750)}</math>

II is 1 when GNI per capita is $75,000 and 0 when GNI per capita is $100.

Finally, the HDI is the geometric mean of the previous three normalized indices:

<math>\textrm{HDI} = \sqrt[3]{\textrm{LEI}\cdot \textrm{EI} \cdot \textrm{II}}.</math>

LE: Life expectancy at birth
MYS: Mean years of schooling (i.e. years that a person aged 25 or older has spent in formal education)
EYS: Expected years of schooling (i.e. total expected years of schooling for children under 18 years of age, incl. young men and women aged 13–17)
GNIpc: Gross national income at purchasing power parity per capita
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Old method (HDI before 2010)Edit

The HDI combined three dimensions last used in its 2009 report:

This methodology was used by the UNDP until their 2011 report.

The formula defining the HDI is promulgated by the United Nations Development Programme (UNDP).<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> In general, to transform a raw variable, say <math>x</math>, into a unit-free index between 0 and 1 (which allows different indices to be added together), the following formula is used:

  • <math>x\text{ index} = \frac{x - a}{b - a}</math>

where <math>a</math> and <math>b</math> are the lowest and highest values the variable <math>x</math> can attain, respectively.

The Human Development Index (HDI) then represents the uniformly weighted sum with Template:Frac contributed by each of the following factor indices:

  • Life Expectancy Index <math> = \frac{\text{LE} - 25} {85-25} = \frac{\text{LE} - 25} {60}</math>
  • Education Index <math> = \frac{2} {3} \times \text{ALI} + \frac{1} {3} \times \text{GEI} </math>
  • GDP <math> = \frac{\log(\text{GDPpc}) - \log(100)} {\log(40000) - \log(100)} = \frac{\log(\text{GDPpc}) - \log(100)} {\log(400)}</math>

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2023 Human Development Index (2025 report)Edit

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File:Average annual HDI growth from 2010 to 2023 published in 2025.svg
Average annual HDI growth from 2010 to 2023 (published in 2025)Template:Legend-col

The Human Development Report 2025 by the United Nations Development Programme was released on 6 May 2025; the report calculates HDI values based on data collected in 2023.

Ranked from 1 to 74 in the year 2023, the following countries are considered to be of "very high human development":<ref name="2022 components3">Template:Cite book</ref>

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Rank Country or territory HDI
2023 data (2025 report)Template:Zero width space Change since 2015Template:Zero width space 2023 data (2025 report)Template:Zero width space<ref name="2022 components32">Template:Cite book</ref> Average annual growth (2010–2023)Template:Zero width space
1 Template:Sort Template:Flag 0.972 Template:Sort
2 Template:Sort Template:Flag 0.970 Template:Sort
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4 Template:Sort Template:Flag 0.962 Template:Sort
5 Template:Sort Template:Flag 0.959 Template:Sort
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7 Template:Sort Template:Flag 0.958 Template:Sort
8 Template:Sort Template:Flag 0.955 Template:Sort
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10 Template:Sort Template:Flag 0.951 Template:Sort
11 Template:Sort Template:Flag 0.949 Template:Sort
12 Template:Sort Template:Flag 0.948 Template:Sort
13 Template:Sort Template:Flag 0.946 Template:Sort
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15 Template:Sort Template:Flag 0.940 Template:Sort
16 Template:Sort Template:Flag 0.939 Template:Sort
17 Template:Sort Template:Flag 0.938 Template:Sort
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20 Template:Sort Template:Flag 0.937 Template:Sort
21 Template:Sort Template:Flag 0.931 Template:Sort
22 Template:Sort Template:Flag 0.930 Template:Sort
23 Template:Sort Template:Flag 0.925 Template:Sort
24 Template:Sort Template:Flag 0.924 Template:Sort
25 Template:Sort Template:Flag 0.922 Template:Sort
26 Template:Sort Template:Flag 0.920 Template:Sort
27 Template:Sort Template:Flag 0.919 Template:Sort
28 Template:Sort Template:Flag 0.918 Template:Sort
29 Template:Sort Template:Flag 0.915 Template:Sort
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32 Template:Sort Template:Flag 0.913 Template:Sort
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34 Template:Sort Template:Flag 0.908 Template:Sort
35 Template:Sort Template:Flag 0.906 Template:Sort
36 Template:Sort Template:Flag 0.905 Template:Sort
37 Template:Sort Template:Flag 0.900 Template:Sort
38 Template:Sort Template:Flag 0.899 Template:Sort
39 Template:Sort Template:Flag 0.895 Template:Sort
40 Template:Sort Template:Flag 0.890 Template:Sort
41 Template:Sort Template:Flag 0.889 Template:Sort
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43 Template:Sort Template:Flag 0.886 Template:Sort
44 Template:Sort Template:Flag 0.880 Template:Sort
45 Template:Sort Template:Flag 0.878 Template:Sort
46 Template:Sort Template:Flag 0.870 Template:Sort
47 Template:Sort Template:Flag 0.865 Template:Sort
48 Template:Sort Template:Flag 0.862 Template:Sort
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50 Template:Sort Template:Flag 0.858 Template:Sort
51 Template:Sort Template:Flag 0.853 Template:Sort
52 Template:Sort Template:Flag 0.852 Template:Sort
53 Template:Sort Template:Flag 0.851 Template:Sort
54 Template:Sort Template:Flag 0.848 Template:Sort
55 Template:Sort Template:Flag 0.845 Template:Sort
Template:Sort Template:Flag Template:Sort
57 Template:Sort Template:Flag 0.844 Template:Sort
58 Template:Sort Template:Flag 0.840 Template:Sort
59 Template:Sort Template:Flag 0.839 Template:Sort
60 Template:Sort Template:Flag 0.837 Template:Sort
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62 Template:Sort Template:Flag 0.833 Template:Sort
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64 Template:Sort Template:Flag 0.832 Template:Sort
65 Template:Sort Template:Flag 0.824 Template:Sort
66 Template:Sort Template:Flag 0.820 Template:Sort
67 Template:Sort Template:Flag 0.819 Template:Sort
68 Template:Sort Template:Flag 0.815 Template:Sort
69 Template:Sort Template:Flag 0.811 Template:Sort
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71 Template:Sort Template:Flag 0.810 Template:Sort
72 Template:Sort Template:Flag 0.807 Template:Sort
73 Template:Sort Template:Flag 0.806 Template:Sort
74 Template:Sort Template:Flag 0.804 Template:Sort

Past top countriesEdit

The list below displays the top-ranked country from each year of the Human Development Index. Norway has been ranked the highest sixteen times, Canada eight times, and Switzerland, Japan, and Iceland have each ranked twice.

In each original HDIEdit

The year represents the time period from which the statistics for the index were derived. In parentheses is the year when the report was published. Template:Columns-list Template:Break

Geographical coverageEdit

The HDI has extended its geographical coverage: David Hastings, of the United Nations Economic and Social Commission for Asia and the Pacific, published a report geographically extending the HDI to 230+ economies, whereas the UNDP HDI for 2009 enumerates 182 economies and coverage for the 2010 HDI dropped to 169 countries.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref><ref>{{#invoke:citation/CS1|citation |CitationClass=web }} Information Note linked to data</ref>

Country/region specific HDI listsEdit

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CriticismEdit

File:Per-capita-co-emissions-vs-human-development-index.svg
HDI in relation to consumption-based Template:Chem2 emissions per capita

The Human Development Index has been criticized on a number of grounds, including focusing exclusively on national performance and ranking, lack of attention to development from a global perspective, measurement error of the underlying statistics, and on the UNDP's changes in formula which can lead to severe misclassification of "low", "medium", "high" or "very high" human development countries.<ref name="Wolff et al. 2011">Template:Cite journal</ref>

There have also been various criticism towards the lack of consideration regarding sustainability<ref>Template:Cite journal</ref> (which later got addressed by the planetary pressures-adjusted HDI), social inequality<ref>Template:Cite journal</ref> (which got addressed by the inequality-adjusted HDI), unemployment<ref name="b208"/> or democracy.<ref name="b208">Template:Cite journal</ref>

Sources of data errorEdit

Economists Hendrik Wolff, Howard Chong and Maximilian Auffhammer discuss the HDI from the perspective of data error in the underlying health, education and income statistics used to construct the HDI. They have identified three sources of data error which are: (i) data updating, (ii) formula revisions and (iii) thresholds to classify a country's development status. They conclude that 11%, 21% and 34% of all countries can be interpreted as currently misclassified in the development bins due to the three sources of data error, respectively. Wolff, Chong and Auffhammer suggest that the United Nations should discontinue the practice of classifying countries into development bins because the cut-off values seem arbitrary, and the classifications can provide incentives for strategic behavior in reporting official statistics, as well as having the potential to misguide politicians, investors, charity donors and the public who use the HDI at large.<ref name="Wolff et al. 2011" />

In 2010, the UNDP reacted to the criticism by updating the thresholds to classify nations as low, medium, and high human development countries. In a comment to The Economist in early January 2011, the Human Development Report Office responded<ref>Template:Cite news</ref> to an article published in the magazine on 6 January 2011<ref>Template:Cite news</ref> which discusses the Wolff et al. paper. The Human Development Report Office states that they undertook a systematic revision of the methods used for the calculation of the HDI, and that the new methodology directly addresses the critique by Wolff et al. in that it generates a system for continuously updating the human-development categories whenever formula or data revisions take place.

In 2013, Salvatore Monni and Alessandro Spaventa emphasized that in the debate of GDP versus HDI, it is often forgotten that these are both external indicators that prioritize different benchmarks upon which the quantification of societal welfare can be predicated. The larger question is whether it is possible to shift the focus of policy from a battle between competing paradigms to a mechanism for eliciting information on well-being directly from the population.<ref name="Monni and Spaventa, 2013">Template:Cite journal</ref>

See alsoEdit

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ReferencesEdit

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External linksEdit

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Template:Global economic classifications Template:Population country lists Template:Quality of life country lists Template:Deprivation Indicators Template:Authority control

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