Population by sex by constituent entities of the Russian Federation
The exact number of men and women residing in each region can be determined as of January 1 each year. The row for Altai Krai (men and women) shows the total population, while separate rows detail the number of men or women in the region. Data is provided for three years without rounding or recalculations, allowing for precise comparison of changes in absolute numbers
Chart of the male and female population in Altai Krai from 2022 to 2024, in persons
- Altai Territory — Total population — males and females
- Altai Territory — Total population — females
- Arkhangelsk Region (without autonomy) — Total population — men and women
- Amur Region — Total population — males and females
- Altai Krai — urban population — women
- Amur Region — Urban population — men and women
- Arkhangelsk Region (without autonomy) — Total population — men
- Arkhangelsk Region (without autonomy) — Urban population — women
- Amur Region — total population — men
- Amur Region — urban population — women
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
- Продолжительность жизни в России по годам: 73,41 года indicator breakdown
- Сколько мужчин в России: 67,9 млн, женщин 78,2 млн indicator breakdown
- 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
- Суммарный коэффициент рождаемости в России: данные 2026 indicator breakdown
- Сельское население России по годам: данные Росстата indicator breakdown
Set in numbers
Rosstat data for 2022–2024. Rows: 858, periods: 3. Breakdown by positions: Altai Krai — Total population — women; Altai Krai — Total population — men; Altai Krai — Total population — men and women; Altai Krai — Urban population — women; Altai Krai — Urban population — men and others
Altai Krai — Total population — men and women: the indicator fell from 2.2 million to 2.1 million in 2022–2024 — by 1.84%. Of the 25 largest rows, 0 increased, 25 decreased
All table numbers are series: 858
How to read this table
Each row combines three attributes: region, gender, and gender category. For example, the row for the Republic of Tatarstan (men) shows the number of men, while the row for the Republic of Tatarstan (women) shows the number of women. Comparing these rows for 2022, 2023, and 2024 reveals population trends for each region and gender
What is visible in these numbers
Five largest values: Altai Krai — Total population — men and women (2.2 million), Altai Krai — Urban population — men (1.3 million), Altai Krai — Total population — women (1.2 million), Altai Krai — Total population — men (985 906), Arkhangelsk Oblast without autonomous okrug (974 604). The gap between the largest and smallest is 19.1 times. The top five account for 42.9% of the total across all positions
Observations are annual; total periods: 3. 75 of 75 possible values filled (100%); data gaps are virtually absent
More in the section Demography»
Period and application
Rosstat updates this data annually. These figures are used to analyze demographic trends, gender balance, and regional disparities. They are utilized by demographers, economists, social statisticians, and government agencies for social program planning. The data allows for direct comparison of male and female populations across any region
How it is calculated
The age structure of the population determines how long demand for children’s goods will persist in the region and when demand for medical services for the elderly will begin to grow
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