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Human Development Index

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World map representing Human Development Index categories (based on 2019 data, published in 2020).
  0.800–1.000 (very high)
  0.700–0.799 (high)
  0.550–0.699 (medium)
  0.350–0.549 (low)
  Data unavailable
World map of countries by Human Development Index categories in increments of 0.050 (based on 2019 data, published in 2020).
  ≥ 0.900
  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 statistic composite index of life expectancy, education (literacy rate, gross enrollment ratio at different levels and net attendance ratio), and per capita income indicators, which are used to rank countries into four tiers of human development. A country scores a higher 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 were no inequality."[4]

The index is based on the human development approach, developed by Mahbub ul Haq, often framed in terms of whether people are able to "be" and "do" desirable things in life. Examples include – being: well fed, sheltered, healthy; doing: work, education, voting, participating in community life. The freedom of choice is central – someone choosing to be hungry (as during a religious fast) 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 for some of the most advanced countries, such as the G7 members and others.[6]

Origins

File:Mahbub-ul-Haq.jpg
Mahbub ul Haq

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 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 principle behind the Human Development Index.[5]


Dimensions and calculation

New method (2010 HDI onwards)

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 1 when Life expectancy at birth is 85 and 0 when Life expectancy at birth is 20.

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)
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 =
  • GDP =

2019 Human Development Index (2020 report)

The Human Development Report 2020 by the United Nations Development Programme was released on 15 December 2020, and calculates HDI values based on data collected in 2019.[13] Below is the list of countries or territories with very high human development:

  • Increase = increase.
  • Steady = steady.
  • Decrease = decrease.
Rank Country or Territory HDI
2019 data (2020 report)[14] Change over 5 years (2014)[15] 2019 data (2020 report)[14] Average annual HDI growth (2010-2019)[15]
1 Steady  Norway 0.957 Increase 0.20%
2 Increase (7)  Ireland 0.955 Increase 0.65%
2 Steady   Switzerland 0.955 Increase 0.16%
4 Increase (7)  Hong Kong 0.949 Increase 0.54%
4 Increase (4)  Iceland 0.949 Increase 0.62%
6 Decrease (3)  Germany 0.947 Increase 0.24%
7 Decrease (3)  Sweden 0.945 Increase 0.41%
8 Decrease (2)  Australia 0.944 Increase 0.17%
8 Decrease (1)  Netherlands 0.944 Increase 0.32%
10 Decrease (6)  Denmark 0.940 Increase 0.28%
11 Decrease (2)  Finland 0.938 Increase 0.26%
11 Steady  Singapore 0.938 Increase 0.35%
13 Steady  United Kingdom 0.932 Increase 0.24%
14 Increase (1)  Belgium 0.931 Increase 0.25%
14 Increase (3)  New Zealand 0.931 Increase 0.30%
16 Decrease (1)  Canada 0.929 Increase 0.34%
17 Decrease (3)  United States 0.926 Increase 0.12%
18 Steady  Austria 0.922 Increase 0.22%
19 Increase (1)  Israel 0.919 Increase 0.29%
19 Increase (2)  Japan 0.919 Increase 0.39%
19 Steady  Liechtenstein 0.919 Increase 0.18%
22 Increase (2)  Slovenia 0.917 Increase 0.35%
23 Decrease (1)  South Korea 0.916 Increase 0.33%
23 Steady  Luxembourg 0.916 Increase 0.22%
25 Increase (1)  Spain 0.904 Increase 0.40%
26 Decrease (1)  France 0.901 Increase 0.28%
27 Decrease (1)  Czechia 0.900 Increase 0.38%
28 Increase (2)  Malta 0.895 Increase 0.54%
29 Increase (2)  Estonia 0.892 Increase 0.51%
29 Decrease (1)  Italy 0.892 Increase 0.16%
31 Increase (6)  United Arab Emirates 0.890 Increase 0.91%
32 Decrease (3)  Greece 0.888 Increase 0.29%
33 Steady  Cyprus 0.887 Increase 0.40%
34 Steady  Lithuania 0.882 Increase 0.66%
35 Steady  Poland 0.880 Increase 0.52%
36 Decrease (4)  Andorra 0.868 Increase 0.40%
37 Increase (3)  Latvia 0.866 Increase 0.55%
38 Decrease (1)  Portugal 0.864 Increase 0.46%
39 Decrease (2)  Slovakia 0.860 Increase 0.38%
40 Increase (1)  Hungary 0.854 Increase 0.30%
40 Decrease (4)  Saudi Arabia 0.854 Increase 0.60%
42 Increase (6)  Bahrain 0.852 Increase 0.70%
43 Steady  Chile 0.851 Increase 0.65%
43 Increase (2)  Croatia 0.851 Increase 0.48%
45 Steady  Qatar 0.848 Increase 0.19%
46 Decrease (2)  Argentina 0.845 Increase 0.21%
47 Decrease (6)  Brunei 0.838 Increase 0.15%
48 Increase (2)  Montenegro 0.829 Increase 0.37%
49 Increase (2)  Romania 0.828 Increase 0.31%
50 Decrease (3)  Palau 0.826 Increase 0.55%
51 Increase (7)  Kazakhstan 0.825 Increase 0.86%
52 Increase (1)  Russian Federation 0.824 Increase 0.60%
53 Decrease (4)  Belarus 0.823 Increase 0.39%
54 Increase (5)  Turkey 0.820 Increase 1.16%
55 Increase (1)  Uruguay 0.817 Increase 0.49%
56 Decrease (2)  Bulgaria 0.816 Increase 0.39%
57 Increase (5)  Panama 0.815 Increase 0.58%
58 Decrease (3)  Bahamas 0.814 Increase 0.12%
58 Decrease (6)  Barbados 0.814 Increase 0.23%
60 Decrease (3)  Oman 0.813 Increase 0.43%
61 Increase (7)  Georgia 0.812 Increase 0.87%
62 Decrease (3)  Costa Rica 0.810 Increase 0.64%
62 Increase (1)  Malaysia 0.810 Increase 0.54%
64 Decrease (5)  Kuwait 0.806 Increase 0.25%
64 Increase (3)  Serbia 0.806 Increase 0.57%
66 Decrease (2)  Mauritius 0.804 Increase 0.76%


Inequality-adjusted HDI (2020 report)

The Inequality-adjusted Human Development Index (IHDI)[16] "equals the HDI when there is no inequality across people but is less than the HDI as inequality rises. In this sense, 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. The 'loss' in potential human development due to inequality is given by the difference between the HDI and the IHDI and can be expressed as a percentage." Below is the list of countries or territories with very high and high human development:

Rank Country 2019 estimates (2020 report)[17][18][19]
IHDI HDI Overall loss (%) Growth since 2010
1  Norway 0.899 0.957 6.1 Increase 0.021
2  Iceland 0.894 0.949 5.8 Increase 0.055
3   Switzerland 0.889 0.955 6.9 Increase 0.015
4  Finland 0.888 0.938 5.3 Increase 0.040
5  Ireland 0.885 0.955 7.3 Increase 0.066
6  Denmark 0.883 0.940 6.1 Increase 0.025
7  Sweden 0.882 0.945 6.7 Increase 0.033
8  Netherlands 0.878 0.944 7.0 Increase 0.036
9  Slovenia 0.875 0.917 4.6 Increase 0.047
10  Germany 0.869 0.947 8.2 Increase 0.016
11  Australia 0.867 0.944 8.2 Increase 0.011
12  Czech Republic 0.860 0.900 4.4 Increase 0.042
13  Belgium 0.859 0.931 7.7 Increase 0.026
14  New Zealand 0.859 0.931 7.7 NA
15  Austria 0.857 0.922 7.0 Increase 0.021
16  United Kingdom 0.856 0.932 8.2 Increase 0.032
17  Canada 0.848 0.929 8.7 Increase 0.025
18  Japan 0.843 0.919 8.3 Increase 0.053[a]
19  Estonia 0.829 0.882 7.1 Increase 0.051
20  Luxembourg 0.826 0.916 9.8 Increase 0.009
21  Hong Kong 0.824 0.949 13.2 NA
22  Malta 0.823 0.895 8.0 Increase 0.033[b]
23  France 0.820 0.901 9.0 Increase 0.022
24  South Korea 0.815 0.916 11.0 Increase 0.074
25  Israel 0.814 0.919 11.4 Increase 0.031
26  Singapore 0.813 0.938 13.3 NA
26  Poland 0.813 0.880 7.6 Increase 0.063
28  United States 0.808 0.926 12.7 Decrease 0.004
29  Slovakia 0.807 0.860 6.2 Increase 0.032
30  Cyprus 0.805 0.887 9.2 Increase 0.048
31  Hungary 0.791 0.854 7.4 Increase 0.032
31  Lithuania 0.791 0.882 10.3 Increase 0.055
31  Greece 0.791 0.888 10.9 Increase 0.014
34  Italy 0.783 0.892 12.2 Increase 0.010
34  Latvia 0.783 0.866 9.6 Increase 0.050
34  Croatia 0.783 0.851 8.0 Increase 0.092
34  Spain 0.783 0.904 13.4 Decrease 0.004
38  Belarus 0.771 0.823 6.3 Increase 0.050
39  Kazakhstan 0.766 0.825 7.2 Increase 0.105
40  Portugal 0.761 0.850 12.7 Increase 0.031
41  Montenegro 0.749 0.829 9.7 Increase 0.026
42  Russia 0.740 0.824 10.2 Increase 0.049
43  Romania 0.730 0.828 11.8 Increase 0.022
44  Argentina 0.729 0.845 13.7 Increase 0.063
45  Ukraine 0.728 0.779 6.4 Increase 0.035
46  Bulgaria 0.721 0.816 11.6 Increase 0.022
47  Georgia 0.716 0.812 11.8 Increase 0.093
48  Uruguay 0.712 0.817 12.7 Increase 0.055
49  Chile 0.709 0.851 16.7 Increase 0.058
50  Albania 0.708 0.795 10.9 Increase 0.058
51  Oman 0.706 0.813 13.2 NA
52  Serbia 0.705 0.806 12.5 Increase 0.021


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, and Japan and Iceland twice.

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.[20][21]

Country/region specific HDI lists

Criticism

HDI vs. ecological footprint

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.[22]

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 identified three sources of data error which are due to (i) data updating, (ii) formula revisions and (iii) thresholds to classify a country's development status and 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. The authors suggest that the United Nations should discontinue the practice of classifying countries into development bins because: the cut-off values seem arbitrary, can provide incentives for strategic behavior in reporting official statistics, and have the potential to misguide politicians, investors, charity donors and the public who use the HDI at large.[22]

In 2010, the UNDP reacted to the criticism and updated 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[23] to a 6 January 2011 article in the magazine[24] 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.[25]

See also

Indices

Other

Notes

  1. ^ Since 2013
  2. ^ Since 2012

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 Index, "Composite indices — HDI and beyond", Retrieved 16 January 2021.
  5. ^ a b "What is Human Development". UNDP. 2017. 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. ^ "Human Development Report 2010". UNDP. 4 November 2010. 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. 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. ^ Human Development Report 2020 The Next Frontier: Human Development and the Anthropocene (PDF). United Nations Development Programme. 15 December 2020. pp. 343–350. ISBN 978-92-1-126442-5. Retrieved 17 December 2020.
  14. ^ a b Human Development Report 2020 The Next Frontier: Human Development and the Anthropocene (PDF). United Nations Development Programme. 15 December 2020. pp. 343–346. ISBN 978-92-1-126442-5. Retrieved 15 December 2020.
  15. ^ Human Development Reports. Composite indices — HDI and beyond. United Nations Development Programme. Retrieved: December 22, 2020.
  16. ^ Human Development Report 2020 The Next Frontier: Human Development and the Anthropocene (PDF). United Nations Development Programme. 15 December 2020. pp. 351–355. ISBN 978-92-1-126442-5. Retrieved 17 December 2020.
  17. ^ "Inequality-adjusted HDI (IHDI)". hdr.undp.org. UNDP. Retrieved 15 December 2020.
  18. ^ {{cite web|url=http://hdr.undp.org/en/indicators/138806f |title= Human Development Report 2020 – "Human Development Indices and Indicators"|publisher=HDRO (Human Development Report Office)
  19. ^ 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.
  20. ^ 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
  21. ^ a b 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.
  22. ^ "UNDP Human Development Report Office's comments". The Economist. January 2011. Archived from the original on 11 February 2011. Retrieved 12 January 2011.
  23. ^ "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.
  24. ^ 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.

External links