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

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

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)

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) [9]

2.1 Mean Years of Schooling Index (MYSI) [10]
Fifteen is the projected maximum of this indicator for 2025.
2.2 Expected Years of Schooling Index (EYSI) [11]
Eighteen is equivalent to achieving a master's degree in most countries.

3. Income Index (II)

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:

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

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 , into a unit-free index between 0 and 1 (which allows different indices to be added together), the following formula is used:

where and are the lowest and highest values the variable 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
  • Education Index =
    • Adult Literacy Index (ALI)
    • Gross Enrollment Index (GEI)
  • GDP


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]

Table of countries by HDI
Rank Nation HDI
2021 data (2022 report)[13] Change since 2015[14] 2021 data (2022 report)[13] Average annual growth (2010–2021)[14]
1Steady   Switzerland 0.962Increase 0.19%
2Steady  Norway 0.961Increase 0.19%
3Steady  Iceland 0.959Increase 0.56%
4Increase (3)  Hong Kong 0.952Increase 0.44%
5Increase (3)  Australia 0.951Increase 0.27%
6Steady  Denmark 0.948Increase 0.34%
7Decrease (2)  Sweden 0.947Increase 0.36%
8Increase (6)  Ireland 0.945Increase 0.40%
9Decrease (5)  Germany 0.942Increase 0.16%
10Decrease (1)  Netherlands 0.941Increase 0.24%
11Steady  Finland 0.940Increase 0.29%
12Decrease (1)  Singapore 0.939Increase 0.29%
13Increase (2)  Belgium 0.937Increase 0.25%
Decrease (3)  New Zealand Increase 0.15%
15Decrease (2)  Canada 0.936Increase 0.25%
16Decrease (1)  Liechtenstein 0.935Increase 0.22%
17Increase (3)  Luxembourg 0.930Increase 0.18%
18Decrease (3)  United Kingdom 0.929Increase 0.17%
19Steady  Japan 0.925Increase 0.27%
Increase (3)  South Korea Increase 0.35%
21Decrease (3)  United States 0.921Increase 0.10%
22Steady  Israel 0.919Increase 0.25%
23Increase (4)  Malta 0.918Increase 0.58%
Increase (1)  Slovenia Increase 0.28%
25Decrease (4)  Austria 0.916Increase 0.14%
26Increase (9)  United Arab Emirates 0.911Increase 0.80%
27Steady  Spain 0.905Increase 0.38%
28Decrease (3)  France 0.903Increase 0.27%
29Increase (3)  Cyprus 0.896Increase 0.41%
30Decrease (1)  Italy 0.895Increase 0.13%
31Decrease (2)  Estonia 0.890Increase 0.30%
32Decrease (6)  Czechia 0.889Increase 0.20%
33Decrease (2)  Greece 0.887Increase 0.19%
34Decrease (1)  Poland 0.876Increase 0.37%
35Increase (3)  Bahrain 0.875Increase 0.73%
Increase (1)  Lithuania Increase 0.35%
Increase (2)  Saudi Arabia Increase 0.64%
38Increase (2)  Portugal 0.866Increase 0.40%
39Increase (1)  Latvia 0.863Increase 0.42%
40Decrease (6)  Andorra 0.858Increase 0.11%
Increase (5)  Croatia Increase 0.40%
42Increase (1)  Chile 0.855Increase 0.46%
Increase (1)  Qatar Increase 0.23%
44NA[Note 1]  San Marino 0.853NA[Note 1]
45Decrease (5)  Slovakia 0.848Increase 0.09%
46Increase (1)  Hungary 0.846Increase 0.20%
47Decrease (4)  Argentina 0.842Increase 0.09%
48Increase (6)  Turkey 0.838Increase 1.03%
49Increase (3)  Montenegro 0.832Increase 0.27%
50Decrease (1)  Kuwait 0.831Increase 0.20%
51Decrease (3)  Brunei 0.829Increase 0.01%
52Decrease (2)  Russia 0.822Increase 0.29%
53Decrease (4)  Romania 0.821Increase 0.16%
54Decrease (3)  Oman 0.816Increase 0.32%
55Decrease (2)  Bahamas 0.812Increase 0.00%
56Increase (4)  Kazakhstan 0.811Increase 0.51%
57Decrease (2)  Trinidad and Tobago 0.810Increase 0.23%
58Increase (4)  Costa Rica 0.809Increase 0.43%
Steady  Uruguay Increase 0.25%
60Decrease (3)  Belarus 0.808Increase 0.21%
61Steady  Panama 0.805Increase 0.37%
62Increase (1)  Malaysia 0.803Increase 0.39%
63Increase (7)  Georgia 0.802Increase 0.50%
Increase (2)  Mauritius Increase 0.55%
Increase (4)  Serbia Increase 0.41%
66Increase (6)  Thailand 0.800Increase 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

Criticism

HDI in relation to consumption-based CO2 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, 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 2 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. Archived from the original on 28 February 2019. Retrieved 28 February 2019.
    2. "Human Development Index". Economic Times. Archived from the original on 1 December 2017. Retrieved 29 November 2017.
    3. "The Human Development concept". UNDP. 2010. Archived from the original on 15 April 2012. Retrieved 29 July 2011.
    4. "Human Development Reports: Composite indices — HDI and beyond". hdr.undp.org. Archived from the original on 10 August 2016. Retrieved 16 January 2021.
    5. 1 2 Nations, United (2017). "What is Human Development". UNDP. Archived from the original on 27 October 2017. Retrieved 27 October 2017. ... human development approach, developed by the economist Mahbub Ul Haq ...'
    6. The Courier. Commission of the European Communities. 1994.
    7. Nations, United (4 November 2010). "Human Development Report 2010". UNDP. Archived from the original on 22 December 2015. Retrieved 15 December 2015.
    8. "Technical notes" (PDF). UNDP. 2013. Archived (PDF) from the original on 16 June 2015. Retrieved 15 December 2015.
    9. "New method of calculation of Human Development Index (HDI)". India Study Channel. 1 June 2011. Archived from the original on 10 November 2017. Retrieved 19 November 2017.
    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. Archived from the original on 7 August 2011. 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". Archived from the original on 20 December 2007. Retrieved 26 May 2020.
    13. 1 2 3 Human Development Report 2021-22: Uncertain Times, Unsettled Lives: Shaping our Future in a Transforming World (PDF). United Nations Development Programme. 8 September 2022. pp. 272–276. ISBN 978-9-211-26451-7. Archived (PDF) from the original on 8 September 2022. 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. Archived from the original on 30 April 2011. Retrieved 1 December 2009.
    15. Hastings, David A. (2011). "A "Classic" Human Development Index with 232 Countries". HumanSecurityIndex.org. Archived from the original on 3 May 2011. Retrieved 9 March 2011. Information Note linked to data
    16. 1 2 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. hdl:1813/71597. S2CID 18069132. Archived from the original on 8 August 2020. Retrieved 13 July 2019.
    17. "UNDP Human Development Report Office's comments". The Economist. January 2011. Archived from the original on 11 February 2011. Retrieved 12 January 2011.
    18. "The Economist (pages 60–61 in the issue of Jan 8, 2011)". 6 January 2011. Archived from the original on 13 January 2011. Retrieved 12 January 2011.
    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. S2CID 84722678.
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