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TwitterIn 2022, there were around **** male births per female births in China and Vietnam, respectively. Comparatively, in Sri Lanka, the gender ratio was **** male to female births that year.
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TwitterThe 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.
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Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data was reported at 905.000 NA in 2020. This records an increase from the previous number of 894.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data is updated yearly, averaging 878.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 905.000 NA in 2020 and a record low of 869.000 NA in 2014. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.
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Egypt EG: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.060 Ratio in 2017. This records a decrease from the previous number of 1.061 Ratio for 2016. Egypt EG: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.061 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.066 Ratio in 2012 and a record low of 1.060 Ratio in 2017. Egypt EG: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
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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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Country Club Heights Population by Gender. You can refer the same here
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TwitterIn 2022, Sri Lanka had the highest female to male ratio across the Asia-Pacific region, with on average *** female students for every one male student enrolled in tertiary education. Comparatively, Bangladesh had significantly more male students than female students enrolled in tertiary education.
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France FR: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.052 Ratio in 2016. This stayed constant from the previous number of 1.052 Ratio for 2015. France FR: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.052 Ratio from Dec 1962 (Median) to 2016, with 20 observations. The data reached an all-time high of 1.052 Ratio in 2016 and a record low of 1.052 Ratio in 2016. France FR: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
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The human sex ratio at birth (SRB) is approximately 107 boys for every 100 girls. SRB was rising until the World War II and has been declining slightly after the 1950s in several industrial countries. Recent studies have shown that SRB varies according to exposure to disasters and socioeconomic conditions. However, it remains unknown whether changes in SRB can be explained by observable macro-level socioeconomic variables across multiple years and countries. Here we show that changes in disposable income at the macro level positively predict SRB in OECD countries. A one standard deviation increase in the change of disposable income is associated with an increase of 1.03 male births per 1000 female births. The relationship is possibly nonlinear and driven by extreme changes. The association varies from country to country being particular strong in Estonia. This is the first evidence to show that economic and social conditions are connected to SRB across countries at the macro level. This calls for further research on the effects of societal conditions on general characteristics at birth.
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TwitterWorldwide, 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.
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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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Country Club Hills Population by Gender. You can refer the same here
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This dataset provides comprehensive information on sex ratios at birth across different countries and regions from 1950 to 2023. It contains 18,944 observations from the United Nations World Population Prospects, offering researchers and demographers valuable insights into gender demographics and potential societal influences on birth sex ratios. The dataset enables analysis of deviations from the biological norm of 105 males per 100 females at birth.
Key features include:
This dataset is ideal for:
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Context
The dataset tabulates the population of Brazos Country by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Brazos Country. The dataset can be utilized to understand the population distribution of Brazos Country by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Brazos Country. 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 Brazos Country.
Key observations
Largest age group (population): Male # 20-24 years (46) | Female # 50-54 years (52). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Brazos Country Population by Gender. You can refer the same here
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The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.
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This web appendix formed part of the original submission and has been peer reviewed. The journal post it as supplied by the authors.Supplement to: Chao, F., Gerland, P., Cook, A.R. and Alkema, L., 2019. Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels. Proceedings of the National Academy of Sciences, 116(19), pp.9303-9311.
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The dataset tabulates the population of Hill Country Village by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Hill Country Village. The dataset can be utilized to understand the population distribution of Hill Country Village by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Hill Country Village. 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 Hill Country Village.
Key observations
Largest age group (population): Male # 30-34 years (52) | Female # 30-34 years (47). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Hill Country Village Population by Gender. You can refer the same here
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Finland FI: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.047 Ratio in 2017. This stayed constant from the previous number of 1.047 Ratio for 2016. Finland FI: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.047 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.052 Ratio in 1972 and a record low of 1.040 Ratio in 1992. Finland FI: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Finland – Table FI.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
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Slovenia SI: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.063 Ratio in 2023. This records a decrease from the previous number of 1.064 Ratio for 2022. Slovenia SI: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.058 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 1.070 Ratio in 1978 and a record low of 1.045 Ratio in 1968. Slovenia SI: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;
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World Population Sex Ratio 2024
This dataset provides a comprehensive overview of the global population's sex ratio in 2024, detailing the number of males and females across various countries and regions. It offers insights into demographic trends, enabling analysis of gender distribution, disparities, and their implications for socio-economic planning and research. Perfect for data enthusiasts, researchers, and policy analysts exploring population dynamics.**World Population Sex Ratio 2024**
This dataset provides a comprehensive overview of the global population's sex ratio in 2024, detailing the number of males and females across various countries and regions. It offers insights into demographic trends, enabling analysis of gender distribution, disparities, and their implications for socio-economic planning and research. Perfect for data enthusiasts, researchers, and policy analysts exploring population dynamics.
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Actual value and historical data chart for South Asia Sex Ratio At Birth Male Births Per Female Births
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The file "metafor_roe_sex.csv" was used for the meta-analysis regarding the sex ratio of roe deer juveniles. It contains the columns:
Author (author(s) of the publication, Country (country were the study was publised), Location (specific location, in case that the data set contains several different locations the term "divers" is used), Year (year(s) were the sex of roe deer offspring were documented), Pub-Year (Year of publication) , N (number of offspring), N_female (number of female offspring), Sex ratio (primary - P or secondary - S sex ratio), Habitat conditions (F - free ranging, I - Island conditions, C - captive), Proportion female (proportion of female juveniles), Low_95 (lower boundary for the proportion of females using an exact binomial test with a 95% confidence interval), High_95 (upper boundary for the proportion of females using an exact binomial test with a 95% confidence interval), d (effect size), d_se (standard error of the effect size), North (Latitude), East (Longitude)
The file "sex_bw.csv" contains information about roe deer juveniles tacked in Baden-Württemberg. The columns read as: Year (year were the juvenile was tacked), sex (the sex of the juvenile, m- male; f- female), and Hasl (elevation in m)
The file "temp_data_comma_sep.csv" contains the montly mean values for temperature (Temp) and precipitation (NDS) for the months January, February, March, ..., December for the German federal state Baden-Württemberg (Source German Weather Service).
All data sets were used for analysis presented in: Evidence for a male-biased sex ratio in the offspring of a large herbivore: the role of environmental conditions in the sex ratio variation.
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TwitterIn 2022, there were around **** male births per female births in China and Vietnam, respectively. Comparatively, in Sri Lanka, the gender ratio was **** male to female births that year.