Monitoring Digital Space Features Of Regional Socio-Economic Systems
Table 1:
Subject | Indicator and its value (for 2016) | |||||||
GRP () | X1 | X2 | X3 | X4 | X5 | X6 | X7 | |
Belgorod region | 506 420.9 | 53.7 | 87.5 | 2.6 | 53 | 14.3 | 19.5 | 1921.1 |
Bryansk region | 253 100.4 | 46.8 | 87.4 | 0.9 | 57.9 | 10.6 | 14.2 | 977.7 |
Vladimir region | 300 273.6 | 52.4 | 87.8 | 2.3 | 50 | 13.8 | 20 | 5391.3 |
Voronezh region | 370 610.4 | 55.3 | 88.4 | 3.2 | 56.3 | 13.8 | 18.9 | 8164.5 |
Ivanovo region | 182 398.1 | 51.8 | 86.7 | 2.1 | 53.4 | 12.3 | 16.9 | 585.7 |
Kaluga region | 411 565.3 | 53.9 | 87.5 | 3.3 | 50.4 | 14.6 | 20.7 | 6070.9 |
Kostroma region | 256 848.4 | 42.9 | 78 | 2.4 | 51.3 | 13.5 | 15 | 130.8 |
Kursk region | 346 340.2 | 39.6 | 78.8 | 1.6 | 53.3 | 12.1 | 16.8 | 5936.1 |
Lipetsk region | 431 821.2 | 47.8 | 91.9 | 2.1 | 50.9 | 12.7 | 15.6 | 291.1 |
Moscow region | 509 545.2 | 59.5 | 86.4 | 3.5 | 51.2 | 16.5 | 28.4 | 119715.9 |
Orlov region | 285 354.0 | 43.5 | 85.1 | 1.9 | 53 | 11.4 | 13.9 | 976.4 |
Ryazan region | 320 764.0 | 44.9 | 85.6 | 2.6 | 55.6 | 13.6 | 18 | 1594.4 |
Smolensk region | 296 289.6 | 51 | 86.5 | 1.9 | 50.6 | 12.5 | 11.3 | 1604.5 |
Tambov region | 289 847.1 | 42.4 | 94.6 | 2.4 | 61.4 | 12.3 | 15.8 | 1079.2 |
Tver region | 297 625.2 | 40.7 | 78.4 | 1.7 | 46.2 | 10.5 | 11.9 | 4644.3 |
Tula region | 371 709.4 | 53 | 82.4 | 3 | 54.4 | 13.9 | 19.9 | 5974.9 |
Yaroslavl region | 402 639.5 | 60.8 | 89.1 | 2.9 | 56.9 | 16.6 | 21.9 | 6938.5 |
Moscow | 1263698 | 74.8 | 94.9 | 6.6 | 65 | 19 | 29.5 | 358214.8 |