The Second World War severely altered the demographic composition of many countries, particularly in terms of gender ratios across certain age groups. For age groups below 14 years, there is little observable impact of the war on gender ratios, however, some countries see a drastic change across older generations, particularly in the Soviet Union. For men in their twenties (i.e. those in their late-teens or early-twenties when the war began), the ratio drops from 98 men per 100 women in the 15-19 age group, to 68 men per 100 women in the 25-29 group.

In addition to the Second World War, these figures are affected by trends in nature and other historical events. For example, women tend to have higher overall life expectancies than men, which typically sees gender ratios widen among older generations. The impact of the First World War is also most-observable in France's gender ratios for those aged in their fifties. Additionally, the gap in ratios remains high for the Soviet Union across older age groups due to the impact of the First World War and the famine of the early 1930s, however the figures for Russia itself are even lower as it was disproportionately affected by the Russian Revolution and famine of the 1920s.

In 2020, Germany remained the largest population in the European Union with over 83 million inhabitants. Most European countries have a larger female than male population. Only in Ireland, Luxembourg, Malta, Serbia, and Sweden constitute men the majority of inhabitants. Germany had the largest population of both genders in Europe, with 42.1 million women and 41 million men.

Worldwide, the male population is slightly higher than the female population, although this varies by country. As of 2024, Hong Kong has the highest share of women worldwide with almost ** percent. Moldova followed behind with around ** percent. Among the countries with the largest share of women in the total population, several were former Soviet states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.

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.

About this dataset

Context

The dataset tabulates the population of Country Club Heights by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Club Heights. The dataset can be utilized to understand the population distribution of Country Club Heights by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Club Heights. 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 Country Club Heights.

Key observations

Largest age group (population): Male # 55-59 years (23) | Female # 65-69 years (14). 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

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 Country Club Heights population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Club Heights is shown in the following column.
• Population (Female): The female population in the Country Club Heights 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 Country Club Heights 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 Country Club Heights Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Country Club Hills by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Club Hills. The dataset can be utilized to understand the population distribution of Country Club Hills by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Club Hills. 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 Country Club Hills.

Key observations

Largest age group (population): Male # 60-64 years (629) | Female # 15-19 years (1,014). 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

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 Country Club Hills population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Club Hills is shown in the following column.
• Population (Female): The female population in the Country Club Hills 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 Country Club Hills 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 Country Club Hills Population by Gender. You can refer the same here

In the second quarter of 2020, the number of expat male workers per 100 female workers was the highest in Saudi Arabia among the Gulf Cooperation Council (GCC) countries at about *** workers compared to about *** workers in Kuwait. The total number of foreign and national workers in the second quarter of 2020 in the region was about **** million.

Explore gender statistics related to families and households, including data on both sexes, percent of total for both sexes, total live births, population, and residential information. Access valuable insights and trends for countries such as Portugal, Belgium, Spain, France, Italy, United Kingdom, United States, and many more.

Both sexes, Percent of Total for Both Sexes, Total Live Births, Population, Residential, birth

Portugal, Belgium, Spain, Bosnia and Herzegovina, France, Denmark, Italy, Uzbekistan, Bulgaria, United Kingdom, Slovenia, Czechia, Poland, Ukraine, Latvia, Sweden, Iceland, Armenia, Georgia, Canada, Montenegro, Hungary, United States, Andorra, Republic of Moldova, Croatia, Malta, San Marino, Turkmenistan, Azerbaijan, Kyrgyzstan, North Macedonia, Russian Federation, Greece, Luxembourg, Monaco, Slovakia, Norway, Tajikistan, Albania, Liechtenstein, Serbia, Switzerland, Lithuania, Estonia, Turkiye, Cyprus, Germany, Finland, Ireland, Israel, Kazakhstan, Austria, Belarus, Netherlands, RomaniaFollow data.kapsarc.org for timely data to advance energy economics research.Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources.Definition: A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached.General note: Data come from registers, unless otherwise specified. In years 2003 and before, the number of live births for girl child and boy child may not add up to the number for both sexes (Total) due to the rounding up of numbers.

About this dataset

Context

The dataset tabulates the population of Country Life Acres by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Life Acres. The dataset can be utilized to understand the population distribution of Country Life Acres by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Life Acres. 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 Country Life Acres.

Key observations

Largest age group (population): Male # 60-64 years (8) | Female # 60-64 years (7). 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

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 Country Life Acres population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Life Acres is shown in the following column.
• Population (Female): The female population in the Country Life Acres 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 Country Life Acres 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 Country Life Acres Population by Gender. You can refer the same here

Estadística de Migraciones y Cambios de Residencia: Interregional migration by year, gender, age (major groups) and country of birth. Annual. National.

Global Gender Parity Index for Gross Enrollment Ratio in Tertiary Education by Country, 2022 Discover more data with ReportLinker!

This dataset provides values for GROSS ENROLMENT RATIO LOWER SECONDARY GENDER PARITY INDEX WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Population distribution by country for 2019

This dataset contains the population distribution for all countries world wide available through the UNdata portal. http://data.un.org/Data.aspx?d=POP&f=tableCode%3A22

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

This data is taken from the UN data portal.

Inspiration

Important dataset in the prediction of fatality rates for COVID-19 by country. Fatality rates vary based on age.

In the second quarter of 2020, the number of national male workers per 100 female workers was the highest in Saudi Arabia among the Gulf Cooperation Council (GCC) countries at *** workers compared to about ** workers in Kuwait. The total number of foreign and national workers in the second quarter of 2020 in the region was about **** million.

This dataset provides values for GROSS ENROLMENT RATIO LOWER SECONDARY GENDER PARITY INDEX WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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The “gender gap index” describes the degree of difference between sexual inequality to access to political role and education and health resources in 2010. Countries where part of population does not have access to such resources is more sensitive to climate change consequences, because sacrifice part of its potential. The index results from the third cluster of the Principal Component Analysis preformed among 14 potential variables. The analysis identify three dominant variables, namely “literacy gender ratio”, “women political participation” and “life expectancy gender ratio”, assigning a weight of 0.40 to the first one and 0.3 to the others two variables. Before to perform the analysis the variables were score-standardized (converted to distribution with average of 0 and standard deviation of 1; all variables with inverse method) in order to be comparable. The country base data for “literacy gender ratio” (average from 2008 to 2012) and “women political participation” (i.e. proportion of seats held by women in national parliament in the last election) were gathered from World Bank, whereas the “life expectancy gender ratio” (average from 2008 to 2012) data were collected from the medium fertility scenario of UNPD World Population Prospects, the 2012 Revision. Tabular data were linked by country to the national boundaries shapefile (FAO/GAUL) and then converted into raster format (resolution 0.5 arc-minute). Women’s representation in parliaments is one aspect of women’s opportunities in political and public life, and it is therefore linked to women’s empowerment. This indicator gives an idea of the progress of women participation in the highest levels of society, such as the decision making process, and becoming a leader and voice of the community. Gender parity in literacy and thus in education, is an indicator for female participation and can hence be seen as a general measure for gender equality. The equality of educational opportunities is a basic state to increase the status and capabilities of women. This dataset has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Statistics on Acquisition of Spanish Citizenship of Residents: Acquisitions of nationality by gender and country of birth. Annual. Provinces.

PK: Population: as % of Total: Female: Aged 65 and Above data was reported at 4.515 % in 2017. This records an increase from the previous number of 4.500 % for 2016. PK: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 3.767 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4.515 % in 2017 and a record low of 3.512 % in 1975. PK: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Uzbekistan UZ: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 20.600 Ratio in 2016. This records a decrease from the previous number of 22.100 Ratio for 2015. Uzbekistan UZ: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 31.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 63.900 Ratio in 1990 and a record low of 20.600 Ratio in 2016. Uzbekistan UZ: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uzbekistan – Table UZ.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.