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.

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.

Russia Population: Male: Age 20 to 24: 20 Years data was reported at 690,175.000 Person in 2018. This records an increase from the previous number of 669,051.000 Person for 2017. Russia Population: Male: Age 20 to 24: 20 Years data is updated yearly, averaging 1,086,332.000 Person from Dec 1989 (Median) to 2018, with 30 observations. The data reached an all-time high of 1,304,486.000 Person in 2003 and a record low of 669,051.000 Person in 2017. Russia Population: Male: Age 20 to 24: 20 Years 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.GA006: Population: by Age: 0 to 100 Years: Male.

About this dataset

Context

The dataset tabulates the Russian Mission 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 Russian Mission. The dataset can be utilized to understand the population distribution of Russian Mission by age. For example, using this dataset, we can identify the largest age group in Russian Mission.

Key observations

The largest age group in Russian Mission, AK was for the group of age 10-14 years with a population of 21 (17.80%), according to the 2021 American Community Survey. At the same time, the smallest age group in Russian Mission, AK was the 50-54 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Russian Mission is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

This statistic depicts the age distribution of Russia from 2013 to 2023. In 2023, about 17.51 percent of Russia's population fell into the 0-14 year category, 65.88 percent into the 15-64 age group and 16.6 percent were over 65 years of age.

As of January 1, 2025, more than 146 million people were estimated to be residing on the Russian territory, down approximately 30,000 from the previous year. From the second half of the 20th century, the population steadily grew until 1995. Furthermore, the population size saw an increase from 2009, getting closer to the 1995 figures. In which regions do most Russians live? With some parts of Russia known for their harsh climate, most people choose regions which offer more comfortable conditions. The largest share of the Russian population, or 40 million, reside in the Central Federal District. Moscow, the capital, is particularly populated, counting nearly 13 million residents. Russia’s population projections Despite having the largest country area worldwide, Russia’s population was predicted to follow a negative trend under both low and medium expectation forecasts. Under the low expectation forecast, the country’s population was expected to drop from 146 million in 2022 to 134 million in 2036. The medium expectation scenario projected a milder drop to 143 million in 2036. The issues of low birth rates and high death rates in Russia are aggravated by the increasing desire to emigrate among young people. In 2023, more than 20 percent of the residents aged 18 to 24 years expressed their willingness to leave Russia.

About this dataset

Context

This list ranks the 50 states in the United States by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each state over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of state in the United States by their Russian population, using the most recent ACS data available.
• State: The State for which the rank is shown in the previous column.
• Russian Population: The Russian population of the state is shown in this column.
• % of Total State Population: This shows what percentage of the total state population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total United States Russian Population: This tells us how much of the entire United States Russian population lives in that state. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

The gap between the number of women and men in Russia was measured at approximately **** million as of January 1, 2024, with the female population of the country historically outnumbering the male population. Both genders saw a decrease in inhabitants compared to the previous year. Why are there more women than men in Russia? One of the factors explaining gender imbalance in modern Russia is the gap in average life expectancy between the genders. In 2022, Russian women outlived men by around ** years. In particular, working-age men were *** times more likely to die from external causes of death, such as accidents and suicides, compared to working-age women in that year. Furthermore, partial mobilization announced as a result of the Russia-Ukraine war resulted in a mass exodus of young men fleeing from conscription. In response to the government’s call to recruit up to 300,000 reservists in end-September 2022, Google search interest in the term "How to leave Russia" increased sharply. Gender imbalance and its consequences for Russia In Russia, the labor market remains highly segregated by gender. Manual jobs in equipment operation, metal industry, manufacturing, and mechanics are male dominated. The labor shortage in these spheres could limit the country’s potential for increased industrial production. Furthermore, fewer men exacerbate the issue of falling births in Russia. In 2023, only **** million births were recorded nationwide, the lowest over the past decade. Coupled with a decreasing number of working-age men, such a decline in live births could lead to less innovation, a larger share of retired people, and rising government expenditure on pensions and healthcare.

About this dataset

Context

This list ranks the 50 cities in the Lake County, IL by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the Lake County, IL by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Lake County Russian Population: This tells us how much of the entire Lake County, IL Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

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.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

This survey covers the Russian Federation.

Analysis unit

• Household
• Individual

Universe

The WVS for the Russian Federation covers national population, aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was designed to be representative of the entire adult population, i.e. 18 years and older, of your country. The lower age cut-off for the sample was 18 and there was not an upper age cut-off for the sample. Population: Total non-institutionalized population of the Russian Federation, 18 years and older, without citizens living in the Far North and in inaccessible regions of Siberia.

Five-stage area probability sample: (1) The country is divided into 4 strata. For each stratum the desired number of respondents is defined proportional to population size. (2) Within each stratum 50 primary sampling units (administrative districts) are selected at random proportional to size. (3) Within each primary sampling unit secondary sampling units (towns and rural Soviets as administrative subdistricts) are selected randomly (4) Within each secondary sampling unit third sampling units (voting districts in the towns, villages belonging to a rural Soviet in the rural areas) are randomly selected. The total number of third sampling units was 186. (5) Within each third sampling unit households were selected at random from a household register (fourth sampling unit). (6) Within each household the respondent is randomly selected using the "Kish-selection-grid": all adult family members are listed in a certain order, first males from the oldest to the youngest, than females from the oldest to the youngest; the respondent is selected by a selection key which is randomly composed for each possible type of household composition (fifth sampling unit). Selection is done: 41% Male and 59% Female. 75% Urban and 25% Rural. The sample size is N=2040.

Universe: The universe includes the adult population of Russia residing in 89 regios and republics. The Far North and inaccessible regions of Siberia, military bases and prisons are not included. Primary sampling units: Administrative rayons in regions, krays and republics are used as the primary sampling units (PSUs). Each rayon is a geographically localized territory which in general contains both urban and rural settlements. Either a town or a rural settlement may be a center of rayon. Usually, but not always, it is the largest settlement in a rayon. If a rural settlement is the center of a rayon itself generally consists only of rural settlements and is referred to the category of rural rayhons. Separate towns which are considered by official statistical institutions as rayons are also included in the set of primary sampling units. These towns are not part of rayons though they are situated in the rayon's territory. Sometimes they may also include some suburbs. So separate towns and rural rayons may be considered as two poles of a scale which contains all various rayhons of Russia (primary sampling units, PSUs). On the continuum between these poles there are rayons of mixed type containing urban and rural sttlements of different sizes. Population size of different rayons may vary from 4-5 thousand to several hundred thousand or even several million of people in cities considered as separate rayons. If population size is less than 10.000 the rayon is linked to an adjacent one in a stratum. All PSUs are presented in the form of data base of more than 2.000 records with each record corresponding to one rayon or separate town (later referred to as rayons). The record for each rayon (PSU) contains the following data: - unique identification number and rayon title, - code and title of a region, - central town population size, - rayon population size All data are based on annual statistical reports (Chislennost RSFSR na 1 janvarya 1990) and 1989 census information. Primary sampling units stratification: PSUs stratification is based on two variables: geographical placement and status of the rayon center. All primary sampling units are grouped in strata consisting of homogeneous rayons. Strata are formed so that each stratum has approximately the same population size. They may consist of from one to several dozen PSUs depending on PSUs population size. In this sample the stratum population size is equal approximately 3.000 thousand (tab.1). Two cities in Russia Moscow and St. Petersburg have population size exceeding stratum population size. They form so called self-representing strata. The geographic placement of a rayon is defined by corresponding economic and geographic zone. According to statistical institutions Russia is divided into 11 economic and geopraphic regions. But for sample construction this division seems to be too fractional and can prevent forming strata of equal size in each zone. The main goal for using the geographic factor as a stratification variable is the uniform spreading of PSUs through Russia territory. For these reasons economic and geographic regions in Russia wre grouped in four zones:

• Zone 1 - North and Center of European part of Russia (unites Northern, North Western + Kaliningrad obl., Central and Volgo-´Vjatsky regions of Russia).

• Zone 2 - South of Wuropean part of Russia (unites Tsentralno-Chernozjemny, Povolzhsky and North- Caucasian regions of Russia).

• Zone 3 - Ural and West Siberia (two economic regions)

• Zone 4 - East Siberia and Far East (two economic regions). For economic and geographic division in Russia seven factors are used: nature and resources, population, industry, power engineering, area industry distribution, agriculture, transport and communicftions ( Economicheskaya geographiya SSSR. Moskva, Vishaya shkola, 1983). 11 regions were aggregated in four zones on the basis of two first factors: nature and resources and population. The second variable of PSUs stratification is the status of the rayon center. It is formed on officially accepted statistical classification by type and population size:

• rural settlement,

• urban settlement with populatiton size:

  • below 20.000
  • between 20.000 and 50.000
  • between 50.000 and 200.000
  • between 500.000 and 1000.000
  • more than 1000.000

Remarks about sampling: - Final numbers of clusters or sampling points: 186 - Sample unit from office sampling: Household

Mode of data collection

Face-to-face [f2f]

Research instrument

The WVS questionnaire was in Russian. Some special variable labels have been included, such as: V56 Neighbours: Jews and V149 Institution: The European Union. Special categories labels are: V203/ V204: Geographical affinity, 1. Locality or town where you live, 2. Region of country where you live, 3. Own country as a whole, 4. Europe, 5. The world as whole. Country Specific variables included are: V208: Ethnic identification, 2. Ukranian, 3. Tatarian 4. Komi 5 Mordovia, 6 Karbardian 7 Balkarian; V209: Language at home: 2. Ukranian, 3. Tatarian 4. Komi 5 Mordovia, 6 Karbardian 7 Balkarian; The variables political parties V210 a V212; Region: V 234 and V206 Born in this country are also included as country specific variables. The ethnic group of the respondent was not asked in the interview. In the cases of Eastern Europe Countries where the ethnic group is missing the language chosen for interview is the only indicator available to control the ethnic composition of the samples. Nevertheless, native language indicated in the cesus of 1989 and language chosen for interview are not exactly the same, since the first is rather differentiated whereas for the last the alternatives to choose between where only the national language or Russian.

Response rate

The response rate for the Russian Federation is 74.9% and is calculated as follows: (2040/2723) x 100=74.9%

Sampling error estimates

+/- 2,2%

About this dataset

Context

This list ranks the 50 cities in the Alaska by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the Alaska by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Alaska Russian Population: This tells us how much of the entire Alaska Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Abstract

Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ .

The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed: 1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity. These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available under the "DOCUMENTATION" tab above. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

Geographic coverage

National

Analysis unit

Individuals

Universe

Individuals of 15 years or older.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was drawn proportional to the population and the country was stratified by region and by population size strata. Exclusions: The Chechen Republic, Republic of Ingushetia, Republic of Dagestan, Republic of Crimes, Republic of Adygeya, Republic of Kabardino-Balkaria, Republic of Karachaevo-Cherkessie, and North Ossetia were excluded due to the political instability. The excluded areas represent about 9% of the population. Design effect: 1.65

Mode of data collection

Face-to-face par [f2f]

Cleaning operations

Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

Sampling error estimates

The margin of error is estimated as 2.8 .This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect. The margin of error is estimated as 2.8 .This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

Abstract

Moldova's first Demographic and Health Survey (2005 MDHS) is a nationally representative sample survey of 7,440 women age 15-49 and 2,508 men age 15-59 selected from 400 sample points (clusters) throughout Moldova (excluding the Transnistria region). It is designed to provide data to monitor the population and health situation in Moldova; it includes several indicators which follow up on those from the 1997 Moldova Reproductive Health Survey (1997 MRHS) and the 2000 Multiple Indicator Cluster Survey (2000 MICS). The 2005 MDHS used a two-stage sample based on the 2004 Population and Housing Census and was designed to produce separate estimates for key indicators for each of the major regions in Moldova, including the North, Center, and South regions and Chisinau Municipality. Unlike the 1997 MRHS and the 2000 MICS surveys, the 2005 MDHS did not cover the region of Transnistria. Data collection took place over a two-month period, from June 13 to August 18, 2005.

The survey obtained detailed information on fertility levels, abortion levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and young children, childhood mortality, maternal and child health, adult health, and awareness and behavior regarding HIV infection and other sexually transmitted diseases. Hemoglobin testing was conducted on women and children to detect the presence of anemia. Additional features of the 2005 MDHS include the collection of information on international emigration, language preference for reading printed media, and domestic violence. The 2005 MDHS was carried out by the National Scientific and Applied Center for Preventive Medicine, hereafter called the National Center for Preventive Medicine (NCPM), of the Ministry of Health and Social Protection. ORC Macro provided technical assistance for the MDHS through the USAID-funded MEASURE DHS project. Local costs of the survey were also supported by USAID, with additional funds from the United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA), and in-kind contributions from the NCPM.

MAIN RESULTS

CHARACTERISTICS OF RESPONDENTS

Ethnicity and Religion. Most women and men in Moldova are of Moldovan ethnicity (77 percent and 76 percent, respectively), followed by Ukrainian (8-9 percent of women and men), Russian (6 percent of women and men), and Gagauzan (4-5 percent of women and men). Romanian and Bulgarian ethnicities account for 2 to 3 percent of women and men. The overwhelming majority of Moldovans, about 95 percent, report Orthodox Christianity as their religion.

Residence and Age. The majority of respondents, about 58 percent, live in rural areas. For both sexes, there are proportionally more respondents in age groups 15-19 and 45-49 (and also 45-54 for men), whereas the proportion of respondents in age groups 25-44 is relatively lower. This U-shaped age distribution reflects the aging baby boom cohort following World War II (the youngest of the baby boomers are now in their mid-40s), and their children who are now mostly in their teens and 20s. The smaller proportion of men and women in the middle age groups reflects the smaller cohorts following the baby boom generation and those preceding the generation of baby boomers' children. To some degree, it also reflects the disproportionately higher emigration of the working-age population.

Education. Women and men in Moldova are universally well educated, with virtually 100 percent having at least some secondary or higher education; 79 percent of women and 83 percent of men have only a secondary or secondary special education, and the remainder pursues a higher education. More women (21 percent) than men (16 percent) pursue higher education.

Language Preference. Among women, preferences for language of reading material are about equal for Moldovan (37 percent) and Russian (35 percent) languages. Among men, preference for Russian (39 percent) is higher than for Moldovan (25 percent). A substantial percentage of women and men prefer Moldovan and Russian equally (27 percent of women and 32 percent of men).

Living Conditions. Access to electricity is almost universal for households in Moldova. Ninety percent of the population has access to safe drinking water, with 86 percent in rural areas and 96 percent in urban areas. Seventy-seven percent of households in Moldova have adequate means of sanitary disposal, with 91 percent of households in urban areas and only 67 percent in rural areas.

Children's Living Arrangements. Compared with other countries in the region, Moldova has the highest proportion of children who do not live with their mother and/or father. Only about two-thirds (69 percent) of children under age 15 live with both parents. Fifteen percent live with just their mother although their father is alive, 5 percent live with just their father although their mother is alive, and 7 percent live with neither parent although they are both alive. Compared with living arrangements of children in 2000, the situation appears to have worsened.

FERTILITY

Fertility Levels and Trends. The total fertility rate (TFR) in Moldova is 1.7 births. This means that, on average, a woman in Moldova will give birth to 1.7 children by the end of her reproductive period. Overall, fertility rates have declined since independence in 1991. However, data indicate that fertility rates may have increased in recent years. For example, women of childbearing age have given birth to, on average, 1.4 children at the end of their childbearing years. This is slightly less than the total fertility rate (1.7), with the difference indicating that fertility in the past three years is slightly higher than the accumulation of births over the past 30 years.

Fertility Differentials. The TFR for rural areas (1.8 births) is higher than that for urban areas (1.5 births). Results show that this urban-rural difference in childbearing rates can be attributed almost exclusively to younger age groups.

CONTRACEPTION

Knowledge of Contraception. Knowledge of family planning is nearly universal, with 99 percent of all women age 15-49 knowing at least one modern method of family planning. Among all women, the male condom, IUD, pills, and withdrawal are the most widely known methods of family planning, with over 80 percent of all women saying they have heard of these methods. Female sterilization is known by two-thirds of women, while periodic abstinence (rhythm method) is recognized by almost six in ten women. Just over half of women have heard of the lactational amenorrhea method (LAM), while 40-50 percent of all women have heard of injectables, male sterilization, and foam/jelly. The least widely known methods are emergency contraception, diaphragm, and implants.

Use of Contraception. Sixty-eight percent of currently married women are using a family planning method to delay or stop childbearing. Most are using a modern method (44 percent of married women), while 24 percent use a traditional method of contraception. The IUD is the most widely used of the modern methods, being used by 25 percent of married women. The next most widely used method is withdrawal, used by 20 percent of married women. Male condoms are used by about 7 percent of women, especially younger women. Five percent of married women have been sterilized and 4 percent each are using the pill and periodic abstinence (rhythm method). The results show that Moldovan women are adopting family planning at lower parities (i.e., when they have fewer children) than in the past. Among younger women (age 20-24), almost half (49 percent) used contraception before having any children, compared with only 12 percent of women age 45-49.

MATERNAL HEALTH

Antenatal Care and Delivery Care. Among women with a birth in the five years preceding the survey, almost all reported seeing a health professional at least once for antenatal care during their last pregnancy; nine in ten reported 4 or more antenatal care visits. Seven in ten women had their first antenatal care visit in the first trimester. In addition, virtually all births were delivered by a health professional, in a health facility. Results also show that the vast majority of women have timely checkups after delivering; 89 percent of all women received a medical checkup within two days of the birth, and another 6 percent within six weeks.

CHILD HEALTH

Childhood Mortality. The infant mortality rate for the 5-year period preceding the survey is 13 deaths per 1,000 live births, meaning that about 1 in 76 infants dies before the first birthday. The under-five mortality rate is almost the same with 14 deaths per 1,000 births. The near parity of these rates indicates that most all early childhood deaths take place during the first year of life. Comparison with official estimates of IMRs suggests that this rate has been improving over the past decade.

NUTRITION

Breastfeeding Practices. Breastfeeding is nearly universal in Moldova: 97 percent of children are breastfed. However the duration of breast-feeding is not long, exclusive breastfeeding is not widely practiced, and bottle-feeding is not uncommon. In terms of the duration of breastfeeding, data show that by age 12-15 months, well over half of children (59 percent) are no longer being breastfed. By age 20-23 months, almost all children have been weaned.

Exclusive breastfeeding is not widely practiced and supplementary feeding begins early: 57 percent of breastfed children less than 4 months are exclusively breastfed, and 46 percent under six months are exclusively breastfeed. The remaining breastfed children also consume plain water, water-based liquids or juice, other milk in addition to breast milk, and complimentary foods. Bottle-feeding is fairly widespread in Moldova;

BackgroundIn migration and health research, the healthy migrant effect has been a common finding, but it usually pertains to specific contexts only. Existing findings are inconsistent and inconclusive regarding the cognitive functioning of the (aging) foreign-origin population relative to the populations of their host and sending countries. Moreover, this comparison is an understudied design setting.ObjectiveWe analyze the outcomes and associations of cognitive functioning outcomes of the non-institutionalized middle-aged and older population, comparing the Russian-origin population in Estonia with Estonians in Estonia and Russians in Russia in a cross-sectional design. We aim to estimate the (long-term) effects of migration on cognitive functioning in later life, contextualizing the findings in previous research on the healthy migrant effect.Data and methodsWe use data from face-to-face interviews conducted within the SHARE Estonia (2010–2011) and SAGE Russia (2007–2010) surveys. Respondents aged 50+ living in urban areas were grouped by self-identified ethnicity, including 2,365 Estonians, 1,373 Russians in Estonia, and 2,339 Russians in Russia (total N = 6,077). Cognitive functioning was measured using a 25-percentile cut-off threshold for the results of two cognition outcomes - immediate recall and verbal fluency - and the odds of impairment were estimated using binary logistic regression.ResultsRussian men and women living in Estonia have significantly higher odds of impairment in immediate recall than Estonian men and women, though they do not differ from Russians in Russia in the final adjusted models. The differences between all groups are non-significant if age at migration is considered. There are no significant differences between the groups in verbal fluency.ConclusionContrary to the commonly found healthy migrant effect, the middle-aged and older foreign-origin population in Estonia fares initially worse than the native population in the immediate recall outcome, but does not differ from their sending country population, possibly due to Russia’s higher mortality rate and therefore the selective survival of healthier people. Different results depending on the cognitive functioning outcome suggest that migration may affect temporary memory more than crystallized knowledge. However, there are no differences between the groups if defined based on age at migration, which suggests that the age profile differences explain most of the groups’ differences in cognitive functioning.

Key information about Russia Household Income per Capita

• Russia Annual Household Income per Capita reached 8,179.992 USD in Dec 2024, compared with the previous value of 7,549.747 USD in Dec 2023.
• Russia Annual Household Income per Capita data is updated yearly, available from Dec 1992 to Dec 2024, with an averaged value of 7,177.112 USD.
• The data reached an all-time high of 9,660.697 USD in Dec 2013 and a record low of 183.584 USD in Dec 1992.
• In the latest reports, Retail Sales of Russia grew 1.800 % YoY in Sep 2025.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. Federal State Statistics Service provides Average Household Income per Capita in local currency. The Bank of Russia average market exchange rate is used for currency conversions.

In 2021, the highest number of deaths per one thousand inhabitants in Russia for both genders occurred among age groups of 80 years and up. In general, the male population had a much higher mortality rate, especially in the age groups of 50 years and older.

The population of Europe was estimated to be 745 million in 2024, an increase of around 4 million when compared with 2012. Over 35 years between 1950 and 1985, the population of Europe grew by approximately 157.8 million. But 35 years after 1985 it was estimated to have only increased by around 38.7 million. Since the 1960s, population growth in Europe has fallen quite significantly and was even negative during the mid-1990s. While population growth has increased slightly since the low of -0.07 percent in 1998, the growth rate for 2020 was just 0.04 percent. Which European country has the biggest population? As of 2024, the population of Russia was estimated to be approximately 144.8 million and was by far Europe's largest country in terms of population, with Turkey being the second-largest at over 87 million. While these two countries both have territory in Europe, however, they are both only partially in Europe, with the majority of their landmasses being in Asia. In terms of countries wholly located on the European continent, Germany had the highest population at 84.5 million, and was followed by the United Kingdom and France at 69.1 million and 66.5 million respectively. Characteristics of Europe's population There are approximately 384.6 million females in Europe, compared with 359.5 million males, a difference of around 25 million. In 1950, however, the male population has grown faster than the female one, with the male population growing by 104.7 million, and the female one by 93.6 million. As of 2024, the single year of age with the highest population was 37, at 10.6 million, while in the same year there were estimated to be around 136 thousand people aged 100 or over.

Russia's capital, Moscow, was the largest city in the country with over **** million residents as of January 1, 2024. Less than a half of Moscow's population resided in Saint Petersburg, the second-most populous city in the country. The third-largest city, Novosibirsk, was located in the Siberian Federal District, being the highest-populated city in the Asian part of Russia. Why is Moscow so populated? The Russian capital is the center of political, industrial, business, and cultural life in Russia. Despite being one of the most expensive cities worldwide, it continues to attract people from Russia and abroad, with its resident population following a generally upward trend over the past decade. Wages in Moscow are higher than in Russia on average, and more opportunities for employment and investment are available in the capital. Furthermore, the number of people living in Moscow was forecast to continue rising, exceeding **** million by 2035. Urbanization in Russia In 2024, around *** million Russian residents lived in cities. That was approximately three-quarters of the country’s population. The urbanization rate increased steadily over the 20th century, leading to a decline in the rural population. Among the country’s regions, the Northwestern Federal District had the highest share of residents in urban areas, measured at ** percent. In the Central Federal District, the tendency was that more people moved to Moscow and cities in the Moscow Oblast.

As of January 1, 2022, the number of people younger than 18 years in Ukraine was approximately *** million. The adult population aged 18 years and older amounted to **** million, representing around ** percent of the total inhabitants. Over ** million people, or ** percent of all residents, were aged 60 years and older. What is the population of Ukraine? Ukraine is the eighth-most populated country in Europe, ranking between Poland and Romania by the number of inhabitants. In 2023, an estimated ** million people resided in Ukraine, down approximately **** million from two years prior. The population size has decreased significantly during the Russian invasion, as millions of refugees fled to other countries. Demographics of Ukraine The number of women in Ukraine exceeded that of men by approximately ***** million as of January 1, 2022. At that point, the country’s male population stood at approximately ** million. Over the past two decades, it decreased by over ***** million. The majority, or ***** out of ten Ukrainian residents, lived in cities. Both the urban and rural population saw a decline in the past 20 years.