Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Globe by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Globe across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 53.18% of total population being male. 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.
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
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 Globe Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Population: Female: Ages 5-9: % of Female Population data was reported at 6.176 % in 2017. This records a decrease from the previous number of 6.267 % for 2016. United States US: Population: Female: Ages 5-9: % of Female Population data is updated yearly, averaging 7.009 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10.134 % in 1964 and a record low of 6.176 % in 2017. United States US: Population: Female: Ages 5-9: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population between the ages 5 to 9 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Population: Female: Ages 60-64: % of Female Population data was reported at 6.224 % in 2017. This records an increase from the previous number of 6.143 % for 2016. United States US: Population: Female: Ages 60-64: % of Female Population data is updated yearly, averaging 4.552 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 6.224 % in 2017 and a record low of 3.843 % in 1997. United States US: Population: Female: Ages 60-64: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population between the ages 60 to 64 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Population: Female: Ages 50-54: % of Female Population data was reported at 6.562 % in 2017. This records a decrease from the previous number of 6.714 % for 2016. United States US: Population: Female: Ages 50-54: % of Female Population data is updated yearly, averaging 5.529 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.158 % in 2010 and a record low of 4.484 % in 1988. United States US: Population: Female: Ages 50-54: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population between the ages 50 to 54 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
World Population Data from the United Nations (UN), United Nations Department of Economic and Social Affairs Population Division World Population Prospects 2022
Notes
File (CSV, 6 KB)
Location notes.
**Demographic Indicators ** Indicator reference (CSV, 4 KB) 1950-2100, medium (ZIP, 7.77 MB) 2022-2100, other scenarios (ZIP, 34.76 MB) Demographic Indicators:
Total Population, as of 1 January (thousands)
Total Population, as of 1 July (thousands)
Male Population, as of 1 July (thousands)
Female Population, as of 1 July (thousands)
Population Density, as of 1 July (persons per square km)
Population Sex Ratio, as of 1 July (males per 100 females)
Median Age, as of 1 July (years)
Natural Change, Births minus Deaths (thousands)
Rate of Natural Change (per 1,000 population)
Population Change (thousands)
Population Growth Rate (percentage)
Population Annual Doubling Time (years)
Births (thousands)
Births by women aged 15 to 19 (thousands)
Crude Birth Rate (births per 1,000 population)
Total Fertility Rate (live births per woman)
Net Reproduction Rate (surviving daughters per woman)
Mean Age Childbearing (years)
Sex Ratio at Birth (males per 100 female births)
Total Deaths (thousands)
Male Deaths (thousands)
Female Deaths (thousands)
Crude Death Rate (deaths per 1,000 population)
Life Expectancy at Birth, both sexes (years)
Male Life Expectancy at Birth (years)
Female Life Expectancy at Birth (years)
Life Expectancy at Age 15, both sexes (years)
Male Life Expectancy at Age 15 (years)
Female Life Expectancy at Age 15 (years)
Life Expectancy at Age 65, both sexes (years)
Male Life Expectancy at Age 65 (years)
Female Life Expectancy at Age 65 (years)
Life Expectancy at Age 80, both sexes (years)
Male Life Expectancy at Age 80 (years)
Female Life Expectancy at Age 80 (years)
Infant Deaths, under age 1 (thousands)
Infant Mortality Rate (infant deaths per 1,000 live births)
Live births Surviving to Age 1 (thousands)
Deaths under age 5 (thousands)
Under-five Mortality Rate (deaths under age 5 per 1,000 live births)
Mortality before Age 40, both sexes (deaths under age 40 per 1,000 live births)
Male mortality before Age 40 (deaths under age 40 per 1,000 male live births)
Female mortality before Age 40 (deaths under age 40 per 1,000 female live births)
Mortality before Age 60, both sexes (deaths under age 60 per 1,000 live births)
Male mortality before Age 60 (deaths under age 60 per 1,000 male live births)
Female mortality before Age 60 (deaths under age 60 per 1,000 female live births)
Mortality between Age 15 and 50, both sexes (deaths under age 50 per 1,000 alive at age 15)
Male mortality between Age 15 and 50 (deaths under age 50 per 1,000 males alive at age 15)
Female mortality between Age 15 and 50 (deaths under age 50 per 1,000 females alive at age 15)
Mortality between Age 15 and 60, both sexes (deaths under age 60 per 1,000 alive at age 15)
Male mortality between Age 15 and 60 (deaths under age 60 per 1,000 males alive at age 15)
Female mortality between Age 15 and 60 (deaths under age 60 per 1,000 females alive at age 15)
Net Number of Migrants (thousands)
Net Migration Rate (per 1,000 population)
Fertility
1950-2100, single age (ZIP, 78.01 MB)
1950-2100, 5-year age groups (ZIP, 22.38 MB)
Age-specific Fertility Rate (ASFR)
Percent Age-specific Fertility Rate (PASFR)
Births (thousands)
**Life Tables ** 1950-2021, medium (ZIP, 68.72 MB) 2022-2100, medium (ZIP, 74.62 MB) Abridged life tables up to age 100 by sex and both sexes combined providing a set of values showing the mortality experience of a hypothetical group of infants born at the same time and subject throughout their lifetime to the specific mortality rates of a given year, from 1950 to 2100. Only medium is available.
mx: Central death rate, nmx, for the age interval (x, x+n)
qx: Probability of dying (nqx), for an individual between age x and x+n
px: Probability of surviving, (npx), for an individual of age x to age x+n
lx: Number of survivors, (lx), at age (x) for 100000 births
dx: Number of deaths, (ndx), between ages x and x+n
Lx: Number of person-years lived, (nLx), between ages x and x+n
Sx: Survival ratio (nSx) corresponding to proportion of the life table population in age group (x, x+n) who are alive n year later
Tx: Person-years lived, (Tx), above age x
ex: Expectation of life (ex) at age x, i.e., average number of years lived subsequent to age x by those reaching age x
ax: Average number of years lived (nax) between ages x and x+n by those dying in the interval
Life Tables 1950-2021 (ZIP, 94.76 MB) 2022-2100 (ZIP, 101.66 MB) Single age life tables up to age 10...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Black Earth by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Black Earth across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 51.51% of total population being male. 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.
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
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 Black Earth Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Greenland Population: as % of Female Population: Female: Aged 0-14 data was reported at 21.354 % in 2023. This records a decrease from the previous number of 21.360 % for 2022. Greenland Population: as % of Female Population: Female: Aged 0-14 data is updated yearly, averaging 28.112 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 46.571 % in 1966 and a record low of 21.305 % in 2018. Greenland Population: as % of Female Population: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.;United Nations Population Division. World Population Prospects: 2024 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil BR: Population: Female: Ages 0-4: % of Female Population data was reported at 6.103 % in 2023. This records a decrease from the previous number of 6.253 % for 2022. Brazil BR: Population: Female: Ages 0-4: % of Female Population data is updated yearly, averaging 11.334 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 17.618 % in 1960 and a record low of 6.103 % in 2023. Brazil BR: Population: Female: Ages 0-4: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 4 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of White Earth by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of White Earth across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 61.18% of total population being male. 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.
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
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 White Earth Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dominica Population: as % of Female Population: Female: Aged 15-64: Ages 40-44 data was reported at 6.367 % in 2023. This records an increase from the previous number of 6.010 % for 2022. Dominica Population: as % of Female Population: Female: Aged 15-64: Ages 40-44 data is updated yearly, averaging 4.471 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 7.274 % in 2011 and a record low of 3.548 % in 1981. Dominica Population: as % of Female Population: Female: Aged 15-64: Ages 40-44 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominica – Table DM.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 40 to 44 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Germany DE: Population: Female: Ages 15-19: % of Female Population data was reported at 4.363 % in 2023. This records a decrease from the previous number of 4.367 % for 2022. Germany DE: Population: Female: Ages 15-19: % of Female Population data is updated yearly, averaging 5.427 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 7.868 % in 1981 and a record low of 4.363 % in 2023. Germany DE: Population: Female: Ages 15-19: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 15 to 19 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2022 Revision.;;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Blue Earth County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Blue Earth County across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 50.58% of total population being male. 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.
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
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 Blue Earth County Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of White Earth township by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of White Earth township across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 53.39% of total population being female. 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.
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
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 White Earth township Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
US: Population: Female: Ages 70-74: % of Female Population data was reported at 4.098 % in 2017. This records an increase from the previous number of 3.917 % for 2016. US: Population: Female: Ages 70-74: % of Female Population data is updated yearly, averaging 3.377 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4.098 % in 2017 and a record low of 2.763 % in 1960. US: Population: Female: Ages 70-74: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population between the ages 70 to 74 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Black Earth town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Black Earth town across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 54.83% of total population being male. 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.
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
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 Black Earth town Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Palau Population: as % of Female Population: Female: Aged 15-64: Ages 20-24 data was reported at 5.512 % in 2023. This records an increase from the previous number of 5.367 % for 2022. Palau Population: as % of Female Population: Female: Aged 15-64: Ages 20-24 data is updated yearly, averaging 7.444 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 9.475 % in 1984 and a record low of 5.347 % in 2021. Palau Population: as % of Female Population: Female: Aged 15-64: Ages 20-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 20 to 24 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Faroe Islands Population: as % of Female Population: Female: Aged 15-64 data was reported at 60.806 % in 2023. This records an increase from the previous number of 60.377 % for 2022. Faroe Islands Population: as % of Female Population: Female: Aged 15-64 data is updated yearly, averaging 60.369 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 62.388 % in 1987 and a record low of 57.799 % in 1960. Faroe Islands Population: as % of Female Population: Female: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Faroe Islands – Table FO.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 15 to 64 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.;United Nations Population Division. World Population Prospects: 2024 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of White Earth township by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of White Earth township across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 52.21% of total population being female. 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.
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
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 White Earth township Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mexico MX: Population: Female: Ages 50-54: % of Female Population data was reported at 4.893 % in 2017. This records an increase from the previous number of 4.799 % for 2016. Mexico MX: Population: Female: Ages 50-54: % of Female Population data is updated yearly, averaging 3.058 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4.893 % in 2017 and a record low of 2.735 % in 1970. Mexico MX: Population: Female: Ages 50-54: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 50 to 54 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Blue Earth City township by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Blue Earth City township across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 54.77% of total population being female. 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.
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
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 Blue Earth City township Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Globe by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Globe across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 53.18% of total population being male. 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.
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
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 Globe Population by Race & Ethnicity. You can refer the same here