Human Development Index

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Short description: Composite statistic of life expectancy, education, and income indices


World map
World map of countries or territories by HDI scores in increments of 0.050 (based on 2021 data, published in 2022)
  •   ≥ 0.950
  •   0.900–0.950
  •   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
  •   ≤ 0.399
  •   Data unavailable

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.[1][2][3]

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 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."[4]

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 central – someone choosing to be hungry (e.g. when fasting for religious reasons) is quite different from someone who is hungry because they cannot afford to buy food, or because the country is in a famine.[5]

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.[6]

Origins

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". Haq 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.

The underlying principles behind the Human Development Index[5]


Dimensions and calculation

New method (2010 HDI onwards)

HDI trends between 1990 and 2021
  World
  OECD countries
Developing countries:
  East Asia and the Pacific
  Latin America and the Caribbean

Published on 4 November 2010 (and updated on 10 June 2011), the 2010 Human Development Report calculated the HDI combining three dimensions:[7][8]

  • A long and healthy life: Life expectancy at birth
  • Education: Mean years of schooling and expected years of schooling
  • A decent standard of living: GNI per capita (PPP international dollars)

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

1. Life Expectancy Index (LEI) [math]\displaystyle{ = \frac{\textrm{LE} - 20}{85-20} }[/math][math]\displaystyle{ = \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]\displaystyle{ = \frac{{\textrm{MYSI} + \textrm{EYSI}}} {2} }[/math][9]

2.1 Mean Years of Schooling Index (MYSI) [math]\displaystyle{ = \frac{\textrm{MYS}}{15} }[/math][10]
Fifteen is the projected maximum of this indicator for 2025.
2.2 Expected Years of Schooling Index (EYSI) [math]\displaystyle{ = \frac{\textrm{EYS}}{18} }[/math][11]
Eighteen is equivalent to achieving a master's degree in most countries.

3. Income Index (II) [math]\displaystyle{ = \frac{\ln(\textrm{GNIpc}) - \ln(100)}{\ln(75,000) - \ln(100)} }[/math][math]\displaystyle{ = \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]\displaystyle{ \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

Old method (HDI before 2010)

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

HDI trends between 1975 and 2004
  OECD
  Europe (not in the OECD), and CIS
  Latin America and the Caribbean
  Arab League

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).[12] In general, to transform a raw variable, say [math]\displaystyle{ 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]\displaystyle{ x\text{ index} = \frac{x - a}{b - a} }[/math]

where [math]\displaystyle{ a }[/math] and [math]\displaystyle{ b }[/math] are the lowest and highest values the variable [math]\displaystyle{ x }[/math] can attain, respectively.

The Human Development Index (HDI) then represents the uniformly weighted sum with ​13 contributed by each of the following factor indices:

  • Life Expectancy Index [math]\displaystyle{ = \frac{LE - 25} {85-25} }[/math][math]\displaystyle{ = \frac{LE - 25} {60} }[/math]
  • Education Index = [math]\displaystyle{ \frac{2} {3} \times ALI + \frac{1} {3} \times GEI }[/math]
    • Adult Literacy Index (ALI)[math]\displaystyle{ \frac{ALR - 0} {100 - 0} }[/math][math]\displaystyle{ = \frac{ALR} {100} }[/math]
    • Gross Enrollment Index (GEI) [math]\displaystyle{ \frac{CGER - 0} {100 - 0} }[/math][math]\displaystyle{ =\frac{CGER} {100} }[/math]
  • GDP [math]\displaystyle{ = \frac{\log\left(GDPpc\right) - \log\left(100\right)} {\log\left(40000\right) - \log\left(100\right)} }[/math][math]\displaystyle{ = \frac{\log\left(GDPpc\right) - \log\left(100\right)} {\log\left(400\right)} }[/math]


2021 Human Development Index (2022 report)

World map
Average annual HDI growth from 2010 to 2021 (published in 2022)
  •   ≥ 1.4%
  •   1.2%…1.4%
  •   1%…1.2%
  •   0.8%…1%
  •   0.6%…0.8%
  •   0.4%…0.6%
  •   0.2%…0.4%
  •   0%…0.2%
  •   −0.5%…0%
  •   −1%…−0.5%
  •   < −1%
  •   No data

The Human Development Report 2022 by the United Nations Development Programme was released on 8 September 2022; the report calculates HDI values based on data collected in 2021.

Ranked from 1 to 66 in the year 2021, the following countries are considered to be of "very high human development":[13]

Rank Nation HDI
2021 data (2022 report)​[13] Change since 2015​[14] 2021 data (2022 report)​[13] Average annual growth (2010–2021)​[14]
0.962 1 0 Steady


  Switzerland 0.962 0.0019 Increase 0.19%


0.961 2 0 Steady


 Norway 0.961 0.0019 Increase 0.19%


0.959 3 0 Steady


 Iceland 0.959 0.0056 Increase 0.56%


0.952 4 3 Increase (3)


 Hong Kong 0.952 0.0044 Increase 0.44%


0.951 5 3 Increase (3)


 Australia 0.951 0.0027 Increase 0.27%


0.948 6 0 Steady


 Denmark 0.948 0.0034 Increase 0.34%


0.947 7 -2 Decrease (2)


 Sweden 0.947 0.0036 Increase 0.36%


0.945 8 6 Increase (6)


 Ireland 0.945 0.0040 Increase 0.40%


0.942 9 -5 Decrease (5)


 Germany 0.942 0.0016 Increase 0.16%


0.941 10 -1 Decrease (1)


 Netherlands 0.941 0.0024 Increase 0.24%


0.940 11 0 Steady


 Finland 0.940 0.0029 Increase 0.29%


0.939 12 -1 Decrease (1)


 Singapore 0.939 0.0029 Increase 0.29%


0.937 13 2 Increase (2)


 Belgium 0.937 0.0025 Increase 0.25%


-3 Decrease (3)


 New Zealand 0.0015 Increase 0.15%


0.936 15 -2 Decrease (2)


 Canada 0.936 0.0025 Increase 0.25%


0.935 16 -1 Decrease (1)


 Liechtenstein 0.935 0.0022 Increase 0.22%


0.930 17 3 Increase (3)


 Luxembourg 0.930 0.0018 Increase 0.18%


0.929 18 -3 Decrease (3)


 United Kingdom 0.929 0.0017 Increase 0.17%


0.925 19 0 Steady


 Japan 0.925 0.0027 Increase 0.27%


3 Increase (3)


 South Korea 0.0035 Increase 0.35%


0.921 21 -3 Decrease (3)


 United States 0.921 0.0010 Increase 0.10%


0.919 22 0 Steady


 Israel 0.919 0.0025 Increase 0.25%


0.918 23 4 Increase (4)


 Malta 0.918 0.0058 Increase 0.58%


1 Increase (1)


 Slovenia 0.0028 Increase 0.28%


0.916 25 -4 Decrease (4)


 Austria 0.916 0.0014 Increase 0.14%


0.911 26 9 Increase (9)


 United Arab Emirates 0.911 0.0080 Increase 0.80%


0.905 27 0 Steady


 Spain 0.905 0.0038 Increase 0.38%


0.903 28 -3 Decrease (3)


 France 0.903 0.0027 Increase 0.27%


0.896 29 3 Increase (3)


 Cyprus 0.896 0.0041 Increase 0.41%


0.895 30 -1 Decrease (1)


 Italy 0.895 0.0013 Increase 0.13%


0.890 31 -2 Decrease (2)


 Estonia 0.890 0.0030 Increase 0.30%


0.889 32 -6 Decrease (6)


 Czechia 0.889 0.0020 Increase 0.20%


0.887 33 -2 Decrease (2)


 Greece 0.887 0.0019 Increase 0.19%


0.876 34 -1 Decrease (1)


 Poland 0.876 0.0037 Increase 0.37%


0.875 35 3 Increase (3)


 Bahrain 0.875 0.0073 Increase 0.73%


1 Increase (1)


 Lithuania 0.0035 Increase 0.35%


2 Increase (2)


 Saudi Arabia 0.0064 Increase 0.64%


0.866 38 2 Increase (2)


 Portugal 0.866 0.0040 Increase 0.40%


0.863 39 1 Increase (1)


 Latvia 0.863 0.0042 Increase 0.42%


0.858 40 -6 Decrease (6)


 Andorra 0.858 0.0011 Increase 0.11%


5 Increase (5)


 Croatia 0.0040 Increase 0.40%


0.855 42 1 Increase (1)


 Chile 0.855 0.0046 Increase 0.46%


1 Increase (1)


 Qatar 0.0023 Increase 0.23%


0.853 44 -1000 NA

[Note 1]

 San Marino 0.853 -1 NA

[Note 1]

0.848 45 -5 Decrease (5)


 Slovakia 0.848 0.0009 Increase 0.09%


0.846 46 1 Increase (1)


 Hungary 0.846 0.0020 Increase 0.20%


0.842 47 -4 Decrease (4)


 Argentina 0.842 0.0009 Increase 0.09%


0.838 48 6 Increase (6)


 Turkey 0.838 0.0103 Increase 1.03%


0.832 49 3 Increase (3)


 Montenegro 0.832 0.0027 Increase 0.27%


0.831 50 -1 Decrease (1)


 Kuwait 0.831 0.0020 Increase 0.20%


0.829 51 -3 Decrease (3)


 Brunei 0.829 0.0001 Increase 0.01%


0.822 52 -2 Decrease (2)


 Russia 0.822 0.0029 Increase 0.29%


0.821 53 3 Decrease (4)


 Romania 0.821 0.0016 Increase 0.16%


0.816 54 -3 Decrease (3)


 Oman 0.816 0.0032 Increase 0.32%


0.812 55 -2 Decrease (2)


 Bahamas 0.812 0.0000 Increase 0.00%


0.811 56 4 Increase (4)


 Kazakhstan 0.811 0.0051 Increase 0.51%


0.810 57 -2 Decrease (2)


 Trinidad and Tobago 0.810 0.0023 Increase 0.23%


0.809 58 4 Increase (4)


 Costa Rica 0.809 0.0043 Increase 0.43%


0 Steady


 Uruguay 0.0025 Increase 0.25%


0.808 60 -3 Decrease (3)


 Belarus 0.808 0.0021 Increase 0.21%


0.805 61 0 Steady


 Panama 0.805 0.0037 Increase 0.37%


0.803 62 1 Increase (1)


 Malaysia 0.803 0.0039 Increase 0.39%


0.802 63 7 Increase (7)


 Georgia 0.802 0.0050 Increase 0.50%


2 Increase (2)


 Mauritius 0.0055 Increase 0.55%


4 Increase (4)


 Serbia 0.0041 Increase 0.41%


0.800 66 6 Increase (6)


 Thailand 0.800 0.0075 Increase 0.75%


Past top countries

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, Japan and Iceland twice and Switzerland once.

In each original HDI

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.


Geographical coverage

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.[15][16]

Country/region specific HDI lists

  • Angolan Provinces
  • African countries
  • Albanian Counties
  • Algerian Regions
  • Argentine provinces
  • Armenian provinces
  • Australian states
  • Austrian states
  • Azerbaijani regions
  • Baltic Regions
  • Bangladeshi districts and divisions
  • Belgian provinces
  • Bolivian departments
  • Bosnia and Herzegovina regions
  • Brazilian states
  • Canadian provinces and territories
  • Chilean regions
  • Chinese administrative divisions
  • Colombian departments
  • Croatian counties
  • Danish regions
  • Dutch provinces
  • Egyptian governorates
  • Ethiopian regions
  • European countries
  • French regions
  • German states
  • Greek regions
  • Indian states
  • Tamil Nadu districts (India)
  • Indonesian provinces
  • Iranian provinces
  • Iraqi governorates
  • Italian regions
  • Japanese prefectures
  • Latin American countries
  • Malaysian states
  • Mexican states
  • Nepalese provinces
  • New Zealand regions
  • Nigerian states
  • Norwegian regions
  • Pakistani administrative units
  • Philippine provinces
  • Palestinian regions
  • Polish voivodeships
  • Romanian regions
  • Russian federal subjects
  • South African provinces
  • South Korean regions
  • Spanish communities
  • Swedish regions
  • Swiss regions
  • Thai regions
  • Turkish regions
  • UK regions
  • Ukrainian regions
  • U.S. states (American Human Development Report (AHDR))
  • Venezuelan states
  • Vietnamese regions


Criticism

HDI in relation to consumption-based CO
2
emissions per capita

The Human Development Index has been criticized on a number of grounds, including alleged lack of consideration of technological development or contributions to the human civilization,[citation needed] 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 in the categorisation of "low", "medium", "high" or "very high" human development countries.[17]

Sources of data error

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.[17]

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[18] to an article published in the magazine on 6 January 2011[19] 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.[20]

See also

Indices


Other


Notes

  1. 1.0 1.1 HDI is not available before 2018 in the latest Human Development Report.

References

  1. A. Stanton, Elizabeth (February 2007). "The Human Development Index: A History". PERI Working Papers: 14–15. https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1101&context=peri_workingpapers. Retrieved 28 February 2019. 
  2. "Human Development Index". https://economictimes.indiatimes.com/definition/human-development-index. 
  3. "The Human Development concept". UNDP. 2010. http://hdr.undp.org/en/humandev/. 
  4. "Human Development Reports: Composite indices — HDI and beyond". http://hdr.undp.org/en/statistics/understanding/indices. 
  5. 5.0 5.1 Nations, United (2017). "What is Human Development". UNDP. http://hdr.undp.org/en/content/what-human-development. "... human development approach, developed by the economist Mahbub Ul Haq ...'" 
  6. (in en) The Courier. Commission of the European Communities. 1994. https://books.google.com/books?id=R2D0AAAAMAAJ. 
  7. Nations, United (4 November 2010). "Human Development Report 2010". UNDP. http://hdr.undp.org/en/content/human-development-report-2010. 
  8. "Technical notes". UNDP. 2013. http://hdr.undp.org/sites/default/files/hdr_2013_en_technotes.pdf. 
  9. "New method of calculation of Human Development Index (HDI)" (in en). India Study Channel. 1 June 2011. http://www.indiastudychannel.com/resources/141517-New-method-of-calculation-of-Human-Development-Index-HDI.aspx. 
  10. 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: Barro, R. J.; Lee, J.-W. (2010). "A New Data Set of Educational Attainment in the World, 1950–2010". NBER Working Paper No. 15902. Working Paper Series. doi:10.3386/w15902. http://www.nber.org/papers/w15902. Retrieved 29 July 2011. 
  11. (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.)
  12. "Definition, Calculator, etc. at UNDP site". http://hdr.undp.org/en/statistics/faq/question,68,en.html. 
  13. 13.0 13.1 13.2 Human Development Report 2021-22: Uncertain Times, Unsettled Lives: Shaping our Future in a Transforming World. United Nations Development Programme. 8 September 2022. pp. 272–276. ISBN 978-9-211-26451-7. https://hdr.undp.org/system/files/documents/global-report-document/hdr2021-22pdf_1.pdf#page=284. Retrieved 8 September 2022. 
  14. Hastings, David A. (2009). "Filling Gaps in the Human Development Index". United Nations Economic and Social Commission for Asia and the Pacific, Working Paper WP/09/02. http://www.unescap.org/publications/detail.asp?id=1308. 
  15. Hastings, David A. (2011). "A "Classic" Human Development Index with 232 Countries". HumanSecurityIndex.org. http://www.humansecurityindex.org/?page_id=204.  Information Note linked to data
  16. 17.0 17.1 Wolff, Hendrik; Chong, Howard; Auffhammer, Maximilian (2011). "Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index". Economic Journal 121 (553): 843–870. doi:10.1111/j.1468-0297.2010.02408.x. https://scholarship.sha.cornell.edu/articles/338. Retrieved 13 July 2019. 
  17. "UNDP Human Development Report Office's comments". The Economist. January 2011. http://www.economist.com/user/UNDP%2BHuman%2BDevelopment%2BReport%2BOffice/comments. 
  18. "The Economist (pages 60–61 in the issue of Jan 8, 2011)". 6 January 2011. http://www.economist.com/node/17849159?story_id=17849159. 
  19. Monni, Salvatore; Spaventa, Alessandro (2013). "Beyond Gdp and HDI: Shifting the focus from Paradigms to Politics". Development 56 (2): 227–231. doi:10.1057/dev.2013.30. 

External links

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