Single-industry municipalities of the Russian Federation with a stable situation
302 municipalities classified by Rosstat as having a stable socio-economic situation are presented in this table with population data. Each row corresponds to a specific single-industry town or settlement, helping to illustrate the variance in the size of these localities. The information covers the period from 2017 to 2021, showing the demographic landscape in single-industry towns with sustainable economic development
- Severodvinsk urban okrug — Population of working age
- Severodvinsk — Population of working age
- Gubkinsky urban okrug — Population of working age
- Gubkin — Population of working age
- Klintsy urban district — Population of working age
- Klintsy — Population of working age
- Rossosh urban locality — Population of working age
- Rossosh — Population of working age
- Shelekhov urban locality — Population of working age
- Shelekhov — Population of working age
Chart of the population of Russian single-industry towns with a stable socio-economic situation, 2017–2021
Who grew, who fell: 2017 → 2021
See also
- Infant mortality in Russia by year long time series by year
- Life expectancy in Russia by year long time series by year
- Population of Russia by year long time series by year
- Urban population of Russia by year long time series by year
- Миграция в России: статистика по годам 1997-2023 indicator breakdown
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- Население России по возрастным группам: таблицы с 1959 года indicator breakdown
- Численность населения России по годам: 2000–2025 indicator breakdown
- Население России: сколько людей живёт, данные Росстата indicator breakdown
- Крупнейшие города России по населению: список 2024 indicator breakdown
- Народы России: национальный состав по переписи 2020 indicator breakdown
- Перепись населения 2020 года: главные итоги в цифрах indicator breakdown
- Демография России: главные цифры и графики Росстата indicator breakdown
- Продолжительность жизни мужчин и женщин в России 2026 indicator breakdown
Set in numbers
Rosstat data for 2017–2021. Series: 302, periods: 5. By: Severoonezhskoe urban settlement — Population size …; Severoonezhsk urban-type settlement — Population size of working age …; Severodvinsk urban okrug — Population size …; Severodvinsk — Population size of working age …; Gubkinsky urban okrug — Population size of working age … and others
Severodvinsk urban okrug — Population size of working age: the indicator decreased from 104 380 to 102 604 over 2017–2021 — by 1.7%. The highest value was 104 380 (2017), the lowest was 100 974 (2019). This is an average annual decline of 0.43%. Out of 25 largest series, 4 increased, 21 decreased
All table numbers are series: 302
How to read this table
The rows differ by the name of the municipality and the type of locality, including urban settlements, urban-type settlements, and urban districts. Comparisons between them help to identify differences in the number of residents across various single-industry towns in the country. For example, in the Severoonezhskoye urban settlement, the population was 4085 in 2017, and in 2020 this figure changed to 4009
What is visible in these numbers
The five highest values: Severodvinsk urban okrug — Population size (104 380), Severodvinsk — Population size of working age (103 919), Gubkinsky urban okrug — Population size (68 298), Gubkin — Population size of working age (51 040), Klinzy urban okrug — Population size (38 952). The gap between the highest and lowest is 40.6 times. The top five account for 53.2% of the total sum across all entries — the distribution is heavily skewed toward the top
Observations are annual; there are 5 periods in total. 100 out of 125 possible values are filled (80%). Minor gaps remain where a series was not observed in all periods
The same indicator in other breakdowns (1)
More in the section Demography»
Period and application
The data are updated annually and contain the population dynamics in single-industry towns over a five-year period. The statistics are useful for regional development specialists, demographers, and researchers of socio-economic processes in small and medium-sized Russian cities
How it is calculated
Data on birth rates, mortality and age structure are needed for planning social infrastructure, calculating the burden on the pension system and regional forecasts
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