Irkutsk Region vs Moscow
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 | Irkutsk Region | Moscow | Gap |
|---|---|---|---|
| Housing commissioned thousand m² of total area | 1,605.2 | 6,547.7 | −75% |
| Gross fixed capital formation million roubles | 938,954 | 9,126,292 | −90% |
| Gross regional product per capita roubles | 1,284,374 | 3,103,504 | −59% |
| Real monetary income % of previous year | 104.9 | 109.4 | −4% |
| Number of physicians persons | 11,566 | 91,760 | −87% |
| Life expectancy at birth years | 69.8 | 79.4 | −12% |
| Consumer price indices for all goods and services | 106 | 104 | +2% |
| Dynamics of gross fixed capital formation | 88 | 103 | −14% |
| Electricity consumption million kWh | 69,074 | 60,611 | +14% |
| Share of investment in machinery, equipment and transport vehicles % | 43.7 | 30.7 | +42% |
| Share of investment directed at reconstruction and modernisation % | 9.9 | 6.1 | +62% |
| Gross fixed capital formation per capita | 389,409 | 545,008 | −29% |
| Average monthly nominal accrued wages roubles | 97,366 | 181,777 | −46% |
| Number of employees in public authorities and local self-government bodies persons | 45,322 | 137,012 | −67% |
| Advanced manufacturing technologies used | 2,751 | 17,331 | −84% |
| Unemployment rate % | 3.0 | 0.8 | +275% |
| Retail trade turnover million roubles | 896,544 | 8,048,260 | −89% |
| Population below the poverty line thousand persons | 10.6 | 3.8 | +179% |
| Gini coefficient | 0.4 | 0.4 | −14% |
| Volume index of retail trade turnover at constant prices | 109 | 103 | +5% |
| Retail trade turnover per capita roubles | 331,357 | 568,145 | −42% |
| Industrial production index % of previous year | 107.9 | 102.7 | +5% |
| Employment rate of population aged 15-72 years % | 64.8 | 73.6 | −12% |
| Labour force participation rate of population aged % | 66.7 | 74.2 | −10% |
| Number of sanatorium-resort organisations and beds in them units | 178 | 165 | +8% |
| Number of recreation organisations and beds in them units | 97 | 277 | −65% |
| Number of hostels and beds in them units | 55 | 278 | −80% |
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.