In 2022, the population density in Russia stood at 8.81 people. Between 1992 and 2022, the figure dropped by 0.25 people, though the decline followed an uneven course rather than a steady trajectory.

Historical dataset showing Russia population density by year from 1992 to 2022.

The Central Federal District was the most-populated in Russia with around **** million residents as of January 1, 2025. The Volga Federal District followed, with a population of roughly **** million. The lowest population was recorded in the Far Eastern Federal District at less than *** million inhabitants. In total, over ***** million people were estimated to be living in Russia as of the beginning of 2025. The country ranked ninth worldwide by population size.

View yearly updates and historical trends for Russia Population Density. Source: World Bank. Track economic data with YCharts analytics.

Population density (people per sq. km of land area) in Russia was reported at 8.8074 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

The share of Gen Alpha representatives in Russia was forecast to nearly double by 2032. By comparison, the share of silent generation representatives and baby boomers was expected to decrease notably, reaching *** and ** percent in 2032, respectively.

As of January 1, 2024, the largest share of individuals aged 80 years and older in Russia was represented by women, at almost 75 percent. Meanwhile, men outnumbered women in all age categories up to 29 years. The age group between 30 and 39 years was distributed approximately equally between the two genders.

About this dataset

Context

The dataset tabulates the data for the Russia, OH population pyramid, which represents the Russia population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Russia, OH, is 41.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Russia, OH, is 40.0.
• Total dependency ratio for Russia, OH is 81.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Russia, OH is 2.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Russia population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Russia for the selected age group is shown in the following column.
• Population (Female): The female population in the Russia for the selected age group is shown in the following column.
• Total Population: The total population of the Russia for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia Population by Age. You can refer the same here

Due to the devastating impact of the Second World War on the Soviet population, the total population in 1950 was almost 15.5 million fewer than in 1940, which is a decrease of eight percent. In Russia (RSFSR), the largest of the Soviet states, the population difference was almost nine million people; also eight percent. It would take until 1955 for the populations of either the USSR or Russia to reach their pre-war levels, which was a decade after the conflict had ended. Urbanization Despite this drop in total population, industrialization and urbanization saw a significant change in the USSR's population distribution between the given years. The Soviet urban population increased by 6.3 million, or ten percent, between 1940 and 1950; 5.8 million of this was in Russia, which was a 15 percent increase. In contrast, the Soviet Union's rural population dropped by 21.8 million (a 17 percent change), 14.5 million of which in Russia (a decrease of 20 percent). In terms of overall population, the urban population of the USSR rose from 33 to 39 percent between 1940 and 1950, and from 34 to 43 percent in Russia. By 1955, 44 percent of the Soviet population, and 49 percent of the Russian population, lived in an urban setting.

About this dataset

Context

The dataset tabulates the population of Russia by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Russia across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.48% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Russia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Russia total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here

Population density of Russian Federation slipped by 0.35% from 8.8 people per sq. km in 2021 to 8.8 people per sq. km in 2022. Since the 0.04% improve in 2019, population density declined by 0.84% in 2022. Population density is midyear population divided by land area in square kilometers.

Comprehensive socio-economic dataset for Russia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Russia's median population aged between 30 and 34 years was projected to decrease from approximately **** million in 2022 to **** million in 2100. At the same time, the number of Russian residents aged from 80 to 84 years was forecast to increase by almost ***** million over that period.

Density of nursing and midwifery personnel of Russian Federation plummeted by 29.76% from 8.9 number per thousand population in 2019 to 6.2 number per thousand population in 2020. Since the 1.46% rise in 2014, density of nursing and midwifery personnel sank by 32.90% in 2020.

In 2023, the **** percentile of the Russian population held roughly ** percent of the total national income. In aggregate terms, the income distribution within population groups was rather similar over the observed period. The distribution showed that the higher the society level was, the higher was the occupied volume of income.

The gender distribution of the population of Russia saw a slow change since 1960, when women represented over 55 percent of the total. Over the observed time period, the share of the male population gradually increased, ranging from 44.7 percent in 1960 to 46.5 percent in 2021. Russian women outnumbered the male population by approximately 10.3 million as of January 1, 2022.

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

About this dataset

Context

The dataset tabulates the population of Russia town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Russia town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 54.37% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Russia town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Russia town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia town Population by Race & Ethnicity. You can refer the same here

The share of the population younger than working age in Russia exceeded the elderly generation only in the North Caucasian Federal District at the end of 2023. The portion of the working-age Russians was the lowest in the Volga Federal District, where it was measured at 56.9 percent.

this graph was created in R:

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driven primarily by high birth rates in developing countries and advancements in healthcare. According to the United Nations, the global population surpassed 8 billion in 2023, marking a critical milestone in human history. This growth, however, is unevenly distributed across continents and countries, leading to varied population densities and urban pressures.

Surface area and population density play vital roles in shaping the demographic and economic landscape of each country. For instance, countries with large land masses such as Russia, Canada, and Australia have low population densities despite their significant populations, as vast portions of their land are sparsely populated or uninhabitable. Conversely, nations like Bangladesh and South Korea exhibit extremely high population densities due to smaller land areas combined with large populations.

Population density, measured as the number of people per square kilometer, affects resource availability, environmental sustainability, and quality of life. High-density areas face greater challenges in housing, infrastructure, and environmental management, often experiencing increased pollution and resource strain. In contrast, low-density areas may struggle with underdeveloped infrastructure and limited access to services due to the dispersed population.

Urbanization trends are another important aspect of these dynamics. As people migrate to cities seeking better economic opportunities, urban areas grow more densely populated, amplifying the need for efficient land use and sustainable urban planning. The UN reports that over half of the world’s population currently resides in urban areas, with this figure expected to rise to nearly 70% by 2050. This shift requires nations to balance population growth and density with sustainable development strategies to ensure a higher quality of life and environmental stewardship for future generations.

Through an understanding of population size, surface area, and density, policymakers can better address challenges related to urban development, rural depopulation, and resource allocation, supporting a balanced approach to population management and economic development.