Global InformationList of federal subjects of Russia by Human Development Index information
> 0.950
0.900 – 0.950
0.850 – 0.900
0.800 – 0.850
This is a list of Russian federal subjects by Human Development Index as of 2019 (2021 data - Analytical Center for the Government of the Russian Federation).[1]
| Rank | Federal district | HDI (2019)[1] |
|---|---|---|
| Very high human development | ||
| 1 |  Moscow |
0.940 |
| 2 |  Saint Petersburg |
0.918 |
| 3 |  Khanty-Mansi Autonomous Okrug |
0.914 |
| 4 |  Yamalo-Nenets Autonomous Okrug |
0.902 |
| 5 |  Nenets Autonomous Okrug |
0.899 |
| 6 |  Tatarstan |
0.897 |
| 7 |  Tyumen Oblast |
0.891 |
| 8 |  Sakhalin Oblast |
0.889 |
| 9 |  Yakutia |
0.886 |
| 10 |  Belgorod Oblast |
0.882 |
| 11 |  Astrakhan Oblast |
0.874 |
| 12 |  Krasnoyarsk Krai |
0.873 |
| 13 |  Tomsk Oblast |
0.871 |
| 14 |  Magadan Oblast |
0.871 |
| 15 |  Moscow Oblast |
0.866 |
| 16 |  Samara Oblast |
0.866 |
| 17 |  Komi Republic |
0.866 |
| 18 |  Sverdlovsk Oblast |
0.864 |
| 19 |  Lipetsk Oblast |
0.862 |
| 20 |  Novosibirsk Oblast |
0.862 |
| 21 |  Orenburg Oblast |
0.860 |
| 22 |  Udmurtia |
0.859 |
| 23 |  Voronezh Oblast |
0.859 |
| 24 |  Yaroslavl Oblast |
0.858 |
| 25 |  Kaluga Oblast |
0.858 |
| 26 |  Kursk Oblast |
0.856 |
| 27 |  Kaliningrad Oblast |
0.855 |
| 28 |  Krasnodar Krai |
0.855 |
| 29 |  Omsk Oblast |
0.855 |
| 30 |  Perm Krai |
0.854 |
| 31 |  Nizhny Novgorod Oblast |
0.854 |
| 32 |  Chelyabinsk Oblast |
0.852 |
| 33 |  Irkutsk Oblast |
0.852 |
| 34 |  Rostov Oblast |
0.850 |
| 35 |  Oryol Oblast |
0.850 |
| 36 |  Vologda Oblast |
0.850 |
| 37 |  Tula Oblast |
0.849 |
| 38 |  Murmansk Oblast |
0.849 |
| 39 |  Ryazan Oblast |
0.849 |
| 40 |  Volgograd Oblast |
0.848 |
| 41 |  Bashkortostan |
0.848 |
| 42 |  Tambov Oblast |
0.846 |
| 43 |  Chukotka Autonomous Okrug |
0.846 |
| 44 |  Leningrad Oblast |
0.845 |
| 45 |  Mordovia |
0.844 |
| 46 |  Saratov Oblast |
0.844 |
| 47 |  Arkhangelsk Oblast |
0.843 |
| 48 |  Penza Oblast |
0.843 |
| 49 |  Kalmykia |
0.842 |
| 50 |  Republic of Karelia |
0.841 |
| 51 |  Khabarovsk Krai |
0.839 |
| 52 |  Ulyanovsk Oblast |
0.839 |
| 53 |  Khakassia |
0.839 |
| 54 |  Kamchatka Krai |
0.838 |
| 55 |  Primorsky Krai |
0.836 |
| 56 |  Novgorod Oblast |
0.835 |
| 57 |  Chuvashia |
0.835 |
| 58 |  Vladimir Oblast |
0.835 |
| 59 |  Smolensk Oblast |
0.834 |
| 60 |  Tver Oblast |
0.833 |
| 61 |  North Ossetia–Alania |
0.832 |
| 62 |  Kirov Oblast |
0.832 |
| 63 |  Sevastopol |
0.832 |
| 64 |  Mari El |
0.830 |
| 65 |  Kostroma Oblast |
0.830 |
| 66 |  Bryansk Oblast |
0.830 |
| 67 |  Adygea |
0.828 |
| 68 |  Stavropol Krai |
0.828 |
| 69 |  Kemerovo Oblast |
0.828 |
| 70 |  Dagestan |
0.827 |
| – |  Russia (average) |
0.824 |
| 71 |  Amur Oblast |
0.822 |
| 72 |  Ingushetia |
0.820 |
| 73 |  Altai Krai |
0.815 |
| 74 |  Kurgan Oblast |
0.815 |
| 75 |  Pskov Oblast |
0.813 |
| 77 |  Ivanovo Oblast |
0.812 |
| 78 |  Kabardino-Balkaria |
0.811 |
| 79 |  Karachay-Cherkessia |
0.810 |
| 80 |  Buryatia |
0.810 |
| 81 |  Zabaykalsky Krai |
0.804 |
| 82 |  Altai Republic |
0.800 |
| High human development | ||
| 83 |  Chechnya |
0.793 |
| 84 |  Jewish Autonomous Oblast |
0.788 |
| 85 |  Tuva |
0.787 |
- ^ a b Индекс человеческого развития в России: региональные различия в 2019 году