Russia population density for 2022 was 8.81, a 0.35% decline from 2021.

<ul style='margin-top:20px;'>

<li>Russia population density for 2021 was <strong>8.84</strong>, a <strong>0.34% decline</strong> from 2020.</li>
<li>Russia population density for 2020 was <strong>8.87</strong>, a <strong>0.14% decline</strong> from 2019.</li>
<li>Russia population density for 2019 was <strong>8.88</strong>, a <strong>0.04% increase</strong> from 2018.</li>
</ul>Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

The population density in Russia highly varied across federal districts of the country in the beginning of 2019. The most densely populated area was the Central federal district, where 60.6 inhabitants were observed per square kilometer. To compare, in the Far Eastern federal district, the density was measured at 1.2 persons per square kilometer.

The population density in Russia saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 8.81 inhabitants per square kilometer. Still, 2022 marked the third consecutive decline of the population density. Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.

Russia: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Russia from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .

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 June of 2025.

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 population of Russia by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Russia. The dataset can be utilized to understand the population distribution of Russia by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Russia. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Russia.

Key observations

Largest age group (population): Male # 0-4 years (72) | Female # 30-34 years (35). 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.

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

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.

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 is shown in the following column.
• Population (Female): The female population in the Russia is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Russia for each age group.

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 Gender. You can refer the same here

The Central Federal District was the most-populated in Russia with around 40.3 million residents as of January 1, 2025. The Volga Federal District followed, with a population of roughly 28.4 million. The lowest population was recorded in the Far Eastern Federal District at less than 7.9 million inhabitants. In total, over 146.1 million people were estimated to be living in Russia as of the beginning of 2025. The country ranked ninth worldwide by population size.

About this dataset

Context

The dataset tabulates the Russia population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Russia. The dataset can be utilized to understand the population distribution of Russia by age. For example, using this dataset, we can identify the largest age group in Russia.

Key observations

The largest age group in Russia, OH was for the group of age Under 5 years years with a population of 91 (12.41%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Russia, OH was the 60 to 64 years years with a population of 14 (1.91%). 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

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 in consideration
• Population: The population for the specific age group in the Russia is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

The share of children aged between zero and four years in Russia in the total population of children up to 12 years old has been declining. As of 2021, children younger than five years old accounted for 35 percent of children, with forecast suggesting a further decline in this age group. The share of children aged between 10 and 12 has increased over the years, while remaining the lowest of all presented age groups.

The statistic shows the 30 largest countries in the world by area. Russia is the largest country by far, with a total area of about 17 million square kilometers.

Population of Russia

Despite its large area, Russia - nowadays the largest country in the world - has a relatively small total population. However, its population is still rather large in numbers in comparison to those of other countries. In mid-2014, it was ranked ninth on a list of countries with the largest population, a ranking led by China with a population of over 1.37 billion people. In 2015, the estimated total population of Russia amounted to around 146 million people. The aforementioned low population density in Russia is a result of its vast landmass; in 2014, there were only around 8.78 inhabitants per square kilometer living in the country. Most of the Russian population lives in the nation’s capital and largest city, Moscow: In 2015, over 12 million people lived in the metropolis.

Population density of Komi, Republic of slipped by 0.81% from 2.06 people per sq. km in 2015 to 2.05 people per sq. km in 2016. Population density is the number of individuals per unit geographic area, for example, number per square meter, per hectare, or per square kilometer.

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

In 2023, the 80th percentile of the Russian population held roughly 46 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.

In 2023, there were almost 52 doctors per 10,000 population in Russia. The density of doctors in the country has gradually increased in recent years after a decline in 2015, when the figure fell to around 46 medical professionals per 10,000 residents. How many doctors work in Russia? The number of doctors in the country grew by 85,800 between 2015 and 2023. In total, approximately 759,000 physicians were employed in healthcare in Russia during that year. Over 567,000 medical doctors worked in the public sector, including educational, scientific, cultural, healthcare, and social services organizations, in 2022. Importance of doctors’ density during COVID-19 During the coronavirus (COVID-19) pandemic, countries with a low density of physicians have been suffering from limited healthcare resources and unequal access to medical assistance, as highlighted by the International Labor Organization Department of Statistics (Ilostat). Russia is the only non-high-income country among those with the highest doctors’ density worldwide. There were five infectious disease specialists per 100,000 inhabitants in the country as of April 2020.

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.

We assessed changes in the population size, density, and diet composition of wolves inhabiting the Romincka Forest (RF), an area of 480 km2 situated along the state border between Poland, Russian Federation (Kaliningrad), and Lithuania. We compared the results of our research in 2020-2021 with data from other projects conducted since 1999. We found that both packs living in RF had transboundary territories. The number of packs was stable over 21 years, the average pack size almost doubled (from 4-4.5 to 7.5-8 wolves per pack), the total wolf number increased 1.8 times, reaching 15-16 wolves, the density increased 1.5 times up to 3.1-3.3 wolves/100 km2 in winter 2020/2021. Our analyses of 165 scats revealed that beavers Castor fiber made up 45.6% of food biomass in the wolf diet in 2020, which was 3.4 times more than in 1999-2004 (n=84 scats, 13.4%). Wild ungulates constituted 44.8% of the wolf food biomass in 2020, 1.6 times less than before (71.1%). In our study, among wild ungulates, ..., Tracking. We tracked wolves by foot or by car, using the regular and dense network of dirt roads, routes, and other linear structures, and the plowed strip of soil along the borderline, across the whole Polish portion of RF, that wolves used for traveling and scent-marking. In snow-free seasons, we found tracks on mud or sand and followed them as far as were visible, usually at distances of 100-300 m, while in winter, snow cover allowed us to follow wolf tracks up to 10 km. Species identification was based on the shape and size of tracks and evidence of animal behavior during scent-marking. Additionally, track identification was verified with genetic analysis of scat and urine samples collected during tracking. In winter, we estimated the number of wolves in the tracked group on snow by counting the number of individual trails when wolves split, which usually happened on road junctions and was associated with intense scent-marking. We measured the length of the footprint of the front pa..., , # Dataset for paper: Wolves in the borderland – changes in population and wolf diet in Romincka Forest, along the Polish-Russian-Lithuanian state borders

The dataset provides data to assess the wolf numbers and diet in the Romincka Forest in northern Poland.

Description of the data and file structure

Data are grouped into three files:

Nowak_Repository_genotyping.txt. Results of genetic fingerprinting based on 13 DNA microsatellite markers for non-invasive samples found during the fieldwork in the Romincka Forest, along with reference samples from Baltic, Central European, and Carpathian wolf subpopulations. This is a TAB-separated file that contains the following columns:

(1) ID - identification number of the sample;

(2) sex - sex of the individual based on the analysis of DBX intron 6 and DBY intron 7;

Followed by columnes with numerical data for allele sizes of 13 polymorphic microsatellite loci: FH2001, FH2010, FH2017, FH2054, FH2087L, FH2088, FH2096, FH2137, FH2140,...

In all age groups until 29 years old, there were more men than women in Russia as of January 1, 2024. After that age, the female population outnumbered the male population in each category. The most represented age group in the country was from 35 to 39 years old, with approximately *** million women and *** million men. Male-to-female ratio in Russia The number of men in Russia was historically lower than the number of women, which was a result of population losses during World War I and World War II. In 1950, in the age category from 25 to 29 years, ** men were recorded per 100 women in the Soviet Union. In today’s Russia, the female-to-male ratio in the same age group reached *** women per 1,000 men. Russia has the highest life expectancy gender gap The World Health Organization estimated the average life expectancy of women across the world at over five years longer than men. In Russia, this gap between genders exceeded 10 years. According to the study “Burden of disease in Russia, 1980-2016: A systematic analysis for the Global Burden of Disease Study 2016,” Russia had the highest gender difference in life expectancy worldwide.

Recording and evaluation of the first Russian census regarding the socio-ethnic structure of the Russian Empire.

Topics: Government data (area, population density, temporary residents, foreigners etc.), composition of the population of both sexes, foreigners according to country of origin, population according to native language, religious denomination, literacy, age groups, marital status, physical handicaps, profession, status.

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