About this dataset

Context

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

Key observations

There is a majority of male population, with 53.47% 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 Russian Mission is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Russian Mission 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 Russian Mission Population by Race & Ethnicity. You can refer the same here

Throughout the Cold War, the United States and the Soviet Union had relatively similar total populations. The U.S.' population grew from around 205 million to almost 250 million people between 1970 and 1990, while the USSR's population grew from around 240 to 290 million in this time. In these years, the Soviet Union had the third largest population in the world, and the U.S. had the fourth largest (behind China and India respectively). Despite their similar sizes, these populations differed in terms of distribution as the U.S.' population was approximately three quarters urban in this period, whereas the Soviet Union's urban population was just 56 percent in 1970 and 66 percent in 1989. Additionally, the Soviet Union's population was much younger than that of the U.S. due to a higher birth rate and lower life expectancy.

The largest number of Russians living abroad was recorded in Europe, measuring at nearly 6.2 million people in 2020. Furthermore, over four million Russians resided in Asian countries. Northern America was a residence of nearly 482 thousand people who were born in Russia.

In 2023, over one quarter of the Russian population had an average monthly money income between 27 thousand and 45 thousand Russian rubles. The share of Russians with a monthly income below seven thousand Russian rubles decreased compared to the previous year. The portion of those earning over 100 thousand Russian rubles, or around 1.5 thousand U.S. dollars, per month reached around eleven percent in 2023.

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 # 5-9 years (60) | Female # 10-14 years (36). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

Over 61 million Russians aged 20 years and above, or approximately 55 percent of the total adult population of the country, had wealth under 10,000 U.S. dollars in 2022. To compare, on average around the globe, the share of residents belonging to this wealth range was measured at 34.4 percent in the same year. Economic inequality in Russia The latest available data by the World Bank recorded Russia’s Gini index, used as a measurement of income or wealth inequality, at 36. The organization classified Russia as an upper-middle-income economy. Over 60 percent of Russians considered themselves belonging to the middle class in 2020. HNWIs in Russia Approximately 0.4 percent of Russian adults, or 408,000 residents, owned over one million U.S. dollars, or were referred to as high-net-worth individuals (HNWIs). In 2021, the total wealth of the adult population in the country reached nearly 4.4 trillion U.S. dollars. A significant portion of it belonged to roughly 6,200 ultra-high-net-worth individuals (UHNWIs) whose net worth exceeded 30 billion U.S. dollars.

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.

Active Population: Aged 15-74: Males for the Russian Federation was 38631901.28475 Persons in October of 2021, according to the United States Federal Reserve. Historically, Active Population: Aged 15-74: Males for the Russian Federation reached a record high of 39559589.50587 in July of 2016 and a record low of 36729097.07267 in January of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for Active Population: Aged 15-74: Males for the Russian Federation - last updated from the United States Federal Reserve on March of 2025.

This graph shows the growth in the U.S. export volume of trade goods to Russia from 1992 to 2023. In 2023, U.S. exports to Russia amounted to about 600 million U.S. dollars. RussiaRussia is the largest country in the world, with a combined land and water area of about 17 million square kilometers between their borders. It covers more than one-eighth of the Earth's inhabited land area. It is larger than Antarctica (14 million square kilometers) and larger than all of Europe (10.5 million square kilometers). In comparison to the country’s huge land mass, the population of Russia is rather minute; with a population of only about 144 million, which comes down to a population density of 8.4 inhabitants per square kilometer. Population density in the United States, which is the fourth largest country in the world, has about 33 inhabitants per sqkm. The Russian population is relatively concentrated around the big metropolitan areas of the country. About 75 percent of Russians live in an urban area. Moscow, the capital of Russia, has about 12 million inhabitants. The greater Moscow metropolitan area has about 16 million inhabitants and is the fifteenth largest metro area in the world. Most of the Russian population lives in the part of the country that is part of the European continent. About 74 percent of all Russians live west of the Ural on an area that encompasses only 23 percent of Russia's total land area.

Employed Population: Aged 15 and Over: All Persons for the Russian Federation was 0.15967 Growth Rate Previous Period in October of 2021, according to the United States Federal Reserve. Historically, Employed Population: Aged 15 and Over: All Persons for the Russian Federation reached a record high of 4.19955 in April of 2000 and a record low of -4.02608 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Employed Population: Aged 15 and Over: All Persons for the Russian Federation - last updated from the United States Federal Reserve on March of 2025.

Employed Population: Aged 15 and Over: Females for the Russian Federation was 34393298.72083 Persons in January of 2020, according to the United States Federal Reserve. Historically, Employed Population: Aged 15 and Over: Females for the Russian Federation reached a record high of 35272367.21333 in January of 2018 and a record low of 27851000.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Employed Population: Aged 15 and Over: Females for the Russian Federation - last updated from the United States Federal Reserve on March of 2025.

Key information about Russia Monthly Earnings

• Russia Monthly Earnings stood at 1,256 USD in Dec 2024, compared with the previous figure of 861 USD in Nov 2024
• Russia Monthly Earnings data is updated monthly, available from Jun 1992 to Dec 2024, with an average number of 542 USD
• The data reached the an all-time high of 1,354 USD in Dec 2022 and a record low of 25 USD in Nov 1992

• In the latest reports, Russia Population reached 146 million people in Dec 2024
• Unemployment Rate of Russia remained the same at 2 % in Jul 2024
• The country's Labour Force Participation Rate increased to 68 % in Feb 2024

About this dataset

Context

The dataset tabulates the Russian Mission population by age. The dataset can be utilized to understand the age distribution and demographics of Russian Mission.

Content

The dataset constitues the following three datasets

• Russian Mission, AK Age Group Population Dataset: A complete breakdown of Russian Mission age demographics from 0 to 85 years, distributed across 18 age groups
• Russian Mission, AK Age Cohorts Dataset: Children, Working Adults, and Seniors in Russian Mission - Population and Percentage Analysis
• Russian Mission, AK Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

In 2022, around 42.03 million people in the United States spoke Spanish at home. In comparison, approximately 974,829 people were speaking Russian at home during the same year. The distribution of the U.S. population by ethnicity can be accessed here. A ranking of the most spoken languages across the world can be accessed here.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for Russian represents the number of people who listed Russian as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because official data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Methodological changes to citizenship edits may have affected citizenship data for those born in American Samoa. Users should be aware of these changes when using 2018 data or multi-year data containing data from 2018. For more information, see: American Samoa Citizenship User Note..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle..With a computer includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..The "children of the householder" and "own children of the householder" concepts are combined in these estimates. For more information, please the following User Note ..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the mar...

Active Population: Aged 15 and Over: Females for the Russian Federation was 0.41830 Growth Rate Previous Period in January of 2021, according to the United States Federal Reserve. Historically, Active Population: Aged 15 and Over: Females for the Russian Federation reached a record high of 8.98706 in January of 1999 and a record low of -3.51616 in January of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for Active Population: Aged 15 and Over: Females for the Russian Federation - last updated from the United States Federal Reserve on March of 2025.

In 2023, only nine percent of respondents in the United States reported having a favorable opinion toward Russia. The share of people in the United States viewing Russia positively saw a decrease in recent years.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for Russian represents the number of people who listed Russian as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because official data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle..With a computer includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entitie...

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2011-2015 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..Methodological changes to data collection in 2013 may have affected language data for 2013. Users should be aware of these changes when using multi-year data containing data from 2013. For more information, see: Language User Note..Fertility data are not available for certain geographic areas due to problems with data collection. See Errata Note #92 for details. ..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico, U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for Russian represents the number of people who listed Russian as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because official data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discuss...

Russian estimates suggest that the total population of the Soviet Union in 1941 was 195.4 million people, before it fell to 170.5 million in 1946 due to the devastation of the Second World War. Not only did the USSR's population fall as a consequence of the war, but fertility and birth rates also dropped due to the disruption. Hypothetical estimates suggest that, had the war not happened and had fertility rates remained on their pre-war trajectory, then the USSR's population in 1946 would have been 39 million higher than in reality. Gender differences When it comes to gender differences, the Soviet male population fell from 94 million in 1941, to 74 million in 1946, and the female population fell from 102 to 96 million. While the male and female population fell by 19 and 5.5 million respectively, hypothetical estimates suggest that both populations would have grown by seven million each had there been no war. In actual figures, adult males saw the largest change in population due to the war, as a drop of 18 to 21 percent was observed across the three age groups. In contrast, the adult female population actually grew between 1941 and 1946, although the population under 16 years fell by a number similar to that observed in the male population due to the war's impact on fertility.