Tyumen Region vs Omsk Region
The same Rosstat indicators for both regions, latest period available. Figures are as published — the comparison adds nothing but the arithmetic of the gap.
| Indicator | Tyumen Region | Omsk Region | Gap |
|---|---|---|---|
| Housing commissioned thousand m² of total area | 3,911.1 | 868.9 | +350% |
| Gross fixed capital formation million roubles | 3,468,901 | 226,148 | +1,434% |
| Gross regional product per capita roubles | 4,725,734 | 779,599 | +506% |
| Real monetary income % of previous year | 105.8 | 104.0 | +2% |
| Number of physicians persons | 23,904 | 9,574 | +150% |
| Life expectancy at birth years | 75.4 | 71.8 | +5% |
| Consumer price indices for all goods and services | 105 | 105 | −0% |
| Dynamics of gross fixed capital formation | 84 | 90 | −7% |
| Electricity consumption million kWh | 93,067 | 11,665 | +698% |
| Share of investment in machinery, equipment and transport vehicles % | 17.4 | 43.9 | −60% |
| Share of investment directed at reconstruction and modernisation % | 13.2 | 19.7 | −33% |
| Gross fixed capital formation per capita | 873,843 | 114,186 | +665% |
| Average monthly nominal accrued wages roubles | 133,753 | 74,036 | +81% |
| Number of employees in public authorities and local self-government bodies persons | 69,495 | 30,099 | +131% |
| Advanced manufacturing technologies used | 8,397 | 3,802 | +121% |
| Unemployment rate % | 1.4 | 2.9 | −52% |
| Retail trade turnover million roubles | 1,672,933 | 618,293 | +171% |
| Population below the poverty line thousand persons | 7.6 | 8.5 | −11% |
| Gini coefficient | 0.4 | 0.4 | +13% |
| Volume index of retail trade turnover at constant prices | 103 | 106 | −3% |
| Retail trade turnover per capita roubles | 392,773 | 302,549 | +30% |
| Industrial production index % of previous year | 102.3 | 97.1 | +5% |
| Employment rate of population aged 15-72 years % | 68.5 | 65.2 | +5% |
| Labour force participation rate of population aged % | 69.5 | 67.2 | +3% |
| Number of sanatorium-resort organisations and beds in them units | 232 | 240 | −3% |
| Number of recreation organisations and beds in them units | 74 | 156 | −52% |
| Number of hostels and beds in them units | 53 | 80 | −34% |
Higher is not always better: for unemployment and poverty the smaller figure is the good one. The highlight marks the larger number, not a winner.