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Spatial inequalities in the functional areas of Eastern Poland
| Spatial units groups | Investment expenditures of gminas per capita | Investments of enterprises per capita | ||||
|---|---|---|---|---|---|---|
| Lubelskie | Podkarpackie | Podlaskie | Lubelskie | Podkarpackie | Podlaskie | |
| Theil standardised index | ||||||
| Gminas in the functional area | 0.0022 | 0.0034 | 0.0021 | 0.0217 | 0.0287 | 0.0394 |
| Gminas outside the functional area | 0.0135 | 0.0080 | 0.0149 | 0.1087 | 0.0922 | 0.0786 |
| Gminas in total | 0.0151 | 0.0090 | 0.0190 | 0.1562 | 0.1115 | 0.1298 |
| Decomposition of Theil’s index | ||||||
| Intra-group inequality | 68.6% | 80.3% | 70.7% | 68.8% | 88.1% | 91.9% |
| Between-group inequality | 31.4% | 19.7% | 29.3% | 31.2% | 11.9% | 8.1% |
Selected indicators characterising ROF in 2016
| Specification | Area | Population | Enterprises | Gmina total income | Gmina own income | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| in km2 | ROF = 100% | Number | 2012 = 100 | Net migration per 1000 population | Number | 2012 = 100 | in million zl | 2012 = 100 | in million zl | in % of total income | |
| PODKARPACKIE | 17,846 | 2127,656 | 99.9 | -0.8 | 148,369 | 107.9 | 6,608.6 | 127.9 | 2,338.4 | 35.4 | |
| ROF | 1048 | 100% | 363,680 | 102.7 | 5.1 | 35269 | 115.8 | 1 702.8 | 127.7 | 802.3 | 47.1 |
| Łańcut urban gmina | 19 | 1.8% | 17,749 | 97.8 | -4.1 | 1853 | 104.0 | 69.3 | 144.7 | 38.3 | 55.3 |
| Czarna | 78 | 7.4% | 11,638 | 103.8 | 2.3 | 800 | 111.1 | 46.8 | 143.6 | 17.2 | 36.8 |
| Łańcut rural gmina | 107 | 10.2% | 21,634 | 102.2 | 2.0 | 1287 | 109.6 | 76.8 | 133.6 | 24.0 | 31.3 |
| Boguchwała | 89 | 8.5% | 20,186 | 105.1 | 6.7 | 949 | 116.3 | 70.3 | 152.2 | 28.3 | 40.3 |
| Chmielnik | 53 | 5.1% | 6,815 | 101.6 | 3.4 | 386 | 117.7 | 24.7 | 137.2 | 7.8 | 31.6 |
| Głogów Małopolski | 145 | 13.8% | 19,628 | 103.1 | 3.4 | 978 | 114.1 | 73.1 | 146.2 | 35.5 | 48.6 |
| Krasne | 39 | 3.7% | 10,989 | 104.2 | 8.9 | 985 | 110.2 | 38.7 | 145.5 | 18.3 | 47.3 |
| Lubenia | 55 | 5.2% | 6,422 | 98.5 | -1.7 | 279 | 103.3 | 21.1 | 116.6 | 6.3 | 29.9 |
| Świlcza | 112 | 10.7% | 16,471 | 102.1 | 5.8 | 991 | 108.0 | 58.9 | 135.4 | 22.6 | 38.4 |
| Trzebownisko | 90 | 8.6% | 21,177 | 104.2 | 4.9 | 1592 | 119.3 | 79.0 | 149.3 | 36.2 | 45.8 |
| Tyczyn | 59 | 5.6% | 11,748 | 104.1 | 11.3 | 543 | 119.6 | 41.8 | 149.3 | 13.5 | 32.3 |
| Czudec | 85 | 8.1% | 11,801 | 100.2 | 0.9 | 673 | 111.4 | 44.0 | 133.3 | 10.9 | 24.8 |
| Rzeszów | 117 | 11.2% | 187,422 | 103.0 | 6.4 | 23,953 | 118.0 | 1,058.3 | 120.4 | 543.4 | 51.3 |
Synthetic indicators in the field of entrepreneurship
| Voivodeship | Aggregated measure | Hellwig method | Positional method median of Weber | ||||
|---|---|---|---|---|---|---|---|
| Index | Rank | Index | Rank | Index | Rank | ||
| 2012 | |||||||
| Poland | 0.636 | 1 | 0.378 | 1 | 0.527 | 1 | |
| Podkarpackie Voivodeship | 0.372 | 3 | 0.181 | 3 | 0.209 | 3 | |
| ROF | 0.501 | 2 | 0.272 | 2 | 0.399 | 2 | |
| 2016 | |||||||
| Poland | 0.470 | 2 | 0.295 | 3 | 0.498 | 2 | |
| Podkarpackie Voivodeship | 0.436 | 3 | 0.295 | 2 | 0.268 | 3 | |
| ROF | 0.714 | 1 | 0.462 | 1 | 0.666 | 1 | |