State Support Of Territories With High Scientific Potential
Table 1: Statistical data for calculating the CCP for some subjects of the Russian Federation
n / a | The subject | Number of students (Wi) (https://rosstat.gov.ru/) | number of universities (Si) (Ibid.) | Percentage of students from the region's population, % | HDI (HDI for the subjects of the Russian Federation. https://wiki2.org/ru.) | GRP, million rubles (https://rosstat.gov.ru/) | Utr(1u) |
1. | Moscow | 757350 | 203 | 6,2 | 0,96 | 178150 | 863,0 |
2. | Samara region | 110963 | 43 | 3,45 | 0,884 | 51050 | 93,5 |
4. | Stavropol Territory | 87676 | 51 | 3,1 | 0,847 | 71550 | 62,5 |
3. | Saint-Petersburg | 302907 | 83 | 5,8 | 0,936 | 419350 | 60,0 |
6. | Rostov region | 149160 | 55 | 3,5 | 0,869 | 144620 | 56,7 |
5. | Republic of Dagestan | 70989 | 40 | 2,3 | 0,844 | 62510 | 45,4 |
8. | Republic of Tatarstan | 163201 | 60 | 4,2 | 0,914 | 246920 | 39,6 |
7. | Krasnodar Territory | 130461 | 68 | 2,3 | 0,879 | 234460 | 37,8 |
9. | Sverdlovsk Region | 135370 | 55 | 3,12 | 0,869 | 227760 | 32,7 |
10. | Smolensk region | 26205 | 26 | 2,7 | 0,851 | 31290 | 21,7 |
11. | Kaliningrad Region | 27377 | 15 | 3,9 | 0,874 | 46090 | 8,9 |