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.

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

Population: Female: CF: Moscow Region data was reported at 4,541,353.000 Person in 2023. This records an increase from the previous number of 4,506,033.000 Person for 2022. Population: Female: CF: Moscow Region data is updated yearly, averaging 3,717,618.000 Person from Dec 1989 (Median) to 2023, with 35 observations. The data reached an all-time high of 4,541,353.000 Person in 2023 and a record low of 3,569,207.000 Person in 2000. Population: Female: CF: Moscow Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA010: Population: Female: by Region.

Russia Population: Non Working Age: Male Above 59, Female Above 54 data was reported at 36,685.080 Person th in 2016. This records an increase from the previous number of 35,986.341 Person th for 2015. Russia Population: Non Working Age: Male Above 59, Female Above 54 data is updated yearly, averaging 30,137.690 Person th from Dec 1989 (Median) to 2016, with 28 observations. The data reached an all-time high of 36,685.080 Person th in 2016 and a record low of 27,620.789 Person th in 1989. Russia Population: Non Working Age: Male Above 59, Female Above 54 data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA004: Population: by Age Groups.

Over **** million men and ** million women worked in Russia in 2022. The male employee count increased by ** thousand compared to the previous year. In general, the number of female and male employees has been in decline since 2018.

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.

Graph and download economic data for Ratio of Female to Male Tertiary School Enrollment for the Russian Federation (SEENRTERTFMZSRUS) from 1971 to 2022 about enrolled, Russia, ratio, tertiary schooling, females, males, and education.

Alaska had the highest male to female ratio in the United States in 2020, with ***** men for every 100 women. The male to female ratio was lowest in the District of Columbia, with **** men for every 100 women. The final frontier Alaska, which was purchased from the Russian Empire in 1867, is the largest state in the U.S. and one of the newest states, having been admitted to the U.S. in 1959. Although oil production dominates the economy, Alaska has a very high poverty rate and consistently has the highest unemployment rate in the country. It’s a man’s world Alaska is one of 10 states in the U.S. that has more men than women. The male to female ratio in the United States as a whole is about even, but as the population ages, there tend to be more females than males. Even though the sex ratio in the U.S. is almost one to one, a little more than ** percent of all females participated in the labor force in 2021, compared with **** percent of men.

Population: Female: VR: Republic of Tatarstan data was reported at 2,134,410.000 Person in 2023. This records an increase from the previous number of 2,132,598.000 Person for 2022. Population: Female: VR: Republic of Tatarstan data is updated yearly, averaging 2,028,989.000 Person from Dec 1989 (Median) to 2023, with 35 observations. The data reached an all-time high of 2,134,410.000 Person in 2023 and a record low of 1,960,601.000 Person in 1989. Population: Female: VR: Republic of Tatarstan data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA010: Population: Female: by Region.

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

Sex ratio at birth (male births per female births) in Russia was reported at 1.057 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Sex ratio at birth (male births per female births) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

As of January 1, 2024, the number of boys outnumbered girls in every considered age group of children and teenagers in Russia. Among eight-year-olds, around one million boys and 949,200 girls resided in the country.

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

Approximately ******* boys and ******* girls were born in Russia in 2022. Compared to the previous year, both genders saw a decrease in births. In every period under consideration, the number of male live births in the country was higher than that of female live births.

Population: Female: NC: Republic of Dagestan data was reported at 1,634,193.000 Person in 2023. This records an increase from the previous number of 1,625,523.000 Person for 2022. Population: Female: NC: Republic of Dagestan data is updated yearly, averaging 1,414,065.000 Person from Dec 1989 (Median) to 2023, with 35 observations. The data reached an all-time high of 1,634,193.000 Person in 2023 and a record low of 961,923.000 Person in 1989. Population: Female: NC: Republic of Dagestan data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA010: Population: Female: by Region.

School enrollment, primary and secondary (gross), gender parity index (GPI) in Russia was reported at 0.97982 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Ratio of girls to boys in primary and secondary education - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

The Second World War had a sever impact on gender ratios across European countries, particularly in the Soviet Union. While the United States had a balanced gender ratio of one man for every woman, in the Soviet Union the ratio was below 5:4 in favor of women, and in Soviet Russia this figure was closer to 4:3.

As young men were disproportionately killed during the war, this had long-term implications for demographic development, where the generation who would have typically started families in the 1940s was severely depleted in many countries.

In 2022, the natural decrease in the Russian male population was measured at ********. The number of female mortalities in the country exceeded the number of births of the same gender by approximately *******.

Ukraine UA: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.063 Ratio in 2016. This records a decrease from the previous number of 1.064 Ratio for 2015. Ukraine UA: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.063 Ratio from Dec 1962 (Median) to 2016, with 20 observations. The data reached an all-time high of 1.066 Ratio in 2012 and a record low of 1.052 Ratio in 1977. Ukraine UA: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

The database contains the survey on the changes of gender time allocation during two waves of the coronavirus lockdown (self-isolative restrictions) in Russia. Self-isolation included shift to remote work and study, the closure of childcare facilities, restrictions of mobility, etc.

Sample information

The survey was conducted on Yandex.Survey platform. The first wave was conducted on 22-23 ^th of May, 2020, after 2 months of the beginning of first lockdown. The second wave took place on 17-19^th of November, 2020 after 1 month of the second lockdown’start.

Data was collected via online service Yandex.Survey. The platform offers a service for conducting an online survey among 50 million users of the Yandex advertising network with the ability to make a random sample, including a sample by demographic, geographic and some socio-economic characteristics.

The respondents were women of predominantly working/reproductive age (15-55) from Russia. 1411 women took part in the first wave and 1408 in the second. After cleaning data and removing outliers 2795 respondents left.

The coincidence of the distributions with the general population in terms of the main parameters (age, size of the settlement, employment, household composition) is satisfactory. The observed (insignificant) deviations are as follows: the proportion of women aged 30-43, living in cities with a population over one million has increased; decreased - at the age of 50-54 years, living in settlements with a population of less than 100 thousand people working in agriculture.

The female respondents were asked if they spend more or less time household chores and care, including: cleaning, cooking, laundry, shopping, management, child care, other care or nothing. If a woman marked, that she is living with a partner during the lockdown, she was also asked if her partner spends more or less time on each chore.

The survey also includes questions concerning the occupation type (work, work and study, study, child care leave, doesn’t work), if a woman works (or works and studies), how the lockdown effected on her job: shift to remote work, fired, paid leave, unpaid leave, no income on restrictions, continues in-person work, and if a woman lives with a partner the same question was asked considering his work on the lockdown. Further, occupational features were divided into three: income (or husband’s income) means that a woman (or her partner) has her income on the lockdown which includes remote work, in person work, paid leave; gotowork means a woman (in her partner’s case – husb_gotowork) continues in person work; and distant if a woman is working online (husb_distant for her partner). Further, we asked whether a woman has an experience of remote work: no, and it is impossible, no, but it is possible, yes. We also asked about the size and type of her employer (small, medium, large firm or state firm).

The next set of questions considers who a woman is living with on self isolation: alone, children, partner, parents, parents-in-law, others. At last, we asked respondents age, number of children and the age of the youngest child (if the number of children >0).

The database’ structure

Survey's wave variables

Social and demographic variables

age of female respondent

size of the city

number of children

the age of the youngest child

age at last birth

woman lives with her husband

woman lives with children

woman lives with children over 18 years old

woman lives with her parents

woman lives with her husband's parents

woman lives alone

woman lives with someone else

type of activity

how the lockdown effected female occupation

field of employment

type of enterprise where woman works (or does not)

there is wife's income in household

how the lockdown effected her husband's occupation

there is husband's income in household

woman's work experience at a remote location

woman has remote work in the period of lockdown

her husband has remote work in the period of lockdown

her husband has out of home work in the period of lockdown

woman has out of home work in the period of lockdown

her husband is fired or doesn't have income temporarily because of the lockdown

her husband was fired because of the lockdown

Time use variables: the changes in lockdown

WOMAN MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

WOMAN LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

HER HUSBAND MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

HER HUSBAND LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

TOGETHER MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

TOGETHER LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

INSTEAD MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

INSTEAD LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

There are English and Russian versions of variables’ description.

During exploratory data analysis we introduced features instead or together. These new features are restricted to answers of women who live with partners. Whether a woman marks that she spends less(more) time on the chore and her husband spends more(less) time on that exact type of chore, that means he does it instead of his wife. Whether both a woman and her partner spend more (less) time one the chore, it means they do it together.

The variable “type of enterprise” was built on the criteria of credibility and stability during the corona-crisis from a small to a state firm (small, medium, large, state firm). Small and medium enterprises were hit the most by the pandemic (http://doklad.ombudsmanbiz.ru/2020/7.pdf), whether large and especially state firms had more resources to maintain employment and payments.