List of Russian Federation subjects according to the Human Development Index
The following list sorts Russian Federation subjects according to their Human Development Index .
The Human Development Index is a method of calculating the level of development of a country or region. The HDI not only takes into account the gross national income per capita, but also life expectancy and the duration of training based on the number of school years a 25-year-old has completed and the expected duration of a child's education at school age. The HDI was essentially developed by the Pakistani economist Mahbub ul Haq , who worked closely with the Indian economist Amartya Sen and the British economist and politician Meghnad Desai .
Calculation method
As of the Human Development Report 2010, the three dimensions are calculated as follows:
- Life expectancy index: life expectancy at birth (LE)
- Education index: Average school attendance (DSD) and expected school attendance (VSD) in years
- Standard of living : Gross National Income (GNI) per capita (GNIpk), PPP US $
- Life Expectancy Index (LEI)
- Education Index (BI)
- 2.1. Average School Attendance Index (DSDI)
- 2.2. Estimated School Attendance Index (VSDI)
- Income Index (EI)
Finally, the HDI is calculated as a geometric mean from the three dimensions:
LE: life expectancy at birth
DSD: Average duration of school attendance (number of years that a person aged 25 or older has attended school)
VSD: Estimated length of school attendance (number of years a 5-year-old child will likely go to school)
BNEpk: Gross national income per capita adjusted for purchasing power in US dollars
Federation subjects according to HDI
List of Russian Federation subjects according to their HDI in 2010. All information comes from the UN National Human Development Index from 2013.
Very high human development | |||||
---|---|---|---|---|---|
rank | Federation subject | 2010 HDI | |||
1 | Moscow | 0.931 | |||
High human development | |||||
2 | St. Petersburg | 0.887 | |||
3 |
Tyumen Oblast (with AKCMJ and AKJN ) |
0.887 | |||
4th | Sakhalin | 0.871 | |||
5 | Belgorod | 0.866 | |||
6th | Republic of Tatarstan | 0.864 | |||
7th | Krasnoyarsk | 0.854 | |||
8th | Komi | 0.853 | |||
9 | Tomsk | 0.852 | |||
10 | Sakha Republic (Yakutia) | 0.844 | |||
Russia | 0.843 | ||||
11 | Orenburg | 0.842 | |||
12 | Sverdlovsk | 0.842 | |||
13 | Omsk | 0.840 | |||
14th | Kursk | 0.839 | |||
15th | Magadan | 0.839 | |||
16 |
Arkhangelsk (with Nenets ) |
0.836 | |||
17th | Lipetsk | 0.833 | |||
18th | Bashkortostan | 0.832 | |||
19th | Krasnodar | 0.831 | |||
20th | Chelyabinsk | 0.831 | |||
21st | Murmansk | 0.831 | |||
22nd | Novosibirsk | 0.830 | |||
23 | Yaroslavl | 0.828 | |||
24 | Udmurtia | 0.828 | |||
25th | Samara | 0.827 | |||
26th | Perm | 0.827 | |||
27 | Kemerovo | 0.825 | |||
28 | Saratov | 0.824 | |||
29 | Oryol | 0.823 | |||
30th | Volgograd | 0.822 | |||
31 | Irkutsk | 0.822 | |||
32 | Kaliningrad | 0.821 | |||
33 | Nizhny Novgorod | 0.820 | |||
34 | Kaluga | 0.820 | |||
35 | Moscow Oblast | 0.820 | |||
36 | Karelia | 0.819 | |||
37 | Vologda | 0.818 | |||
38 | North Ossetia-Alania | 0.817 | |||
39 | Khabarovsk | 0.816 | |||
40 | Rostov | 0.816 | |||
41 | Primorye | 0.814 | |||
42 | Khakassia | 0.814 | |||
43 | Voronezh | 0.813 | |||
44 | Astrakhan | 0.812 | |||
45 | Kamchatka | 0.812 | |||
46 | Chuvashia | 0.812 | |||
47 | Ryazan | 0.811 | |||
48 | Ulyanovsk | 0.811 | |||
49 | Mordovia | 0.810 | |||
50 | Leningrad | 0.809 | |||
51 | Kurgan | 0.809 | |||
52 | Kirov | 0.808 | |||
53 | Novgorod | 0.808 | |||
54 | Kostroma | 0.806 | |||
55 | Tambov | 0.806 | |||
56 | Altai Republic | 0.805 | |||
57 | Smolensk | 0.804 | |||
58 | Amur | 0.803 | |||
59 | Tula | 0.802 | |||
60 | Penza | 0.802 | |||
61 | Dagestan | 0.802 | |||
62 | Vladimir | 0.800 | |||
Average human development | |||||
63 | Adygea | 0.799 | |||
64 | Bryansk | 0.798 | |||
65 | Chukotka | 0.798 | |||
66 | Tver | 0.797 | |||
67 | Stavropol | 0.797 | |||
68 | Mari El | 0.796 | |||
69 | Buryatia | 0.796 | |||
70 | Kabardino-Balkaria | 0.795 | |||
71 | Ingushetia | 0.790 | |||
72 | Transbaikalia | 0.790 | |||
73 | Jewish Autonomous Oblast | 0.786 | |||
74 | Karachay Cherkessia | 0.785 | |||
75 | Kalmykia | 0.782 | |||
76 | Pskov | 0.781 | |||
77 | Ivanovo | 0.778 | |||
78 | Altai region | 0.777 | |||
79 | Chechnya | 0.765 | |||
80 | Republic of Tuva | 0.750 |
Federation districts according to HDI
All 8 federal districts according to the development of the Human Development Index from 1995 to 2015. A country with a similar Human Development Index in the same year is also given. With a value of 0.804, Russia was ranked 49th in the Human Development Index.
rank | Federal district | HDI 1995 | HDI 2000 | HDI 2005 | HDI 2010 | HDI 2015 | Increase in 1995-2015 | Comparable country |
---|---|---|---|---|---|---|---|---|
1 | Central Russia | 0.716 | 0.745 | 0.786 | 0.815 | 0.830 | 0.114 | Latvia |
2 | Ural | 0.709 | 0.730 | 0.773 | 0.793 | 0.819 | 0.110 | Bahrain |
3 | Northwest Russia | 0.700 | 0.718 | 0.751 | 0.789 | 0.814 | 0.114 | Bahrain |
4th | far East | 0.704 | 0.720 | 0.743 | 0.784 | 0.794 | 0.090 | Bulgaria |
5 | Volga | 0.692 | 0.706 | 0.733 | 0.759 | 0.784 | 0.092 | Antigua and Barbuda |
6th | Southern Russia | 0.682 | 0.697 | 0.730 | 0.765 | 0.783 | 0.101 | Seychelles |
7th | North Caucasus | 0.695 | 0.698 | 0.734 | 0.766 | 0.777 | 0.082 | Costa Rica |
8th | Siberia | 0.676 | 0.691 | 0.715 | 0.751 | 0.775 | 0.099 | Cuba |
Russia | 0.700 | 0.720 | 0.754 | 0.784 | 0.804 | 0.104 | Romania |
Individual evidence
- ↑ HDR_2013_EN_TechNotes (PDF) Page 2.
- ↑ National Human Development Report, Russian Federation, 2013 ( Memento of the original from January 27, 2018 in the Internet Archive ) Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice. , P. 150.
- ^ Sub-national HDI - Area Database - Global Data Lab. Retrieved August 4, 2018 .