With 109.9 men per one hundred women in the city, the greater Darwin area in Australia has the highest sex ratio. This is in stark contrast to the demographics of the other major cities in Australia which have more women than men. This is consistent with the fact that more than two thirds of all women between 25 and 64 participating in the workforce.Despite this fact, there is still some disparity between men and women in high level position as women are multiple times more likely to be sexually assaulted while men are much more likely to be victims of murder.The perpetrators of crimes are also much more likely to be men as there are

As of June 2021, about 12.98 million females and 12.75 million males lived in Australia. The population of both sexes has been increasing consistently with slightly more females than males.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (63) | Female # 60-64 years (102). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

About this dataset

Context

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

Key observations

There is a majority of female population, with 54.37% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Au Sable charter township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Au Sable charter township 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 Au Sable charter township Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (57) | Female # 0-4 years (61). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Au Gres township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Au Gres township is shown in the following column.
• Population (Female): The female population in the Au Gres township 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 Au Gres township 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 Au Gres township Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.24% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Au Sable town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Au Sable town 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 Au Sable town Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 70-74 years (11) | Female # 70-74 years (9). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Australia Population: Female: Ages 45-49: % of Female Population data was reported at 6.171 % in 2023. This records a decrease from the previous number of 6.264 % for 2022. Australia Population: Female: Ages 45-49: % of Female Population data is updated yearly, averaging 6.192 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 7.279 % in 2007 and a record low of 4.813 % in 1982. Australia Population: Female: Ages 45-49: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 45 to 49 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

Australia Gender Parity Index (GPI): Secondary School Enrollment: Gross data was reported at 0.962 Ratio in 2020. This records an increase from the previous number of 0.934 Ratio for 2019. Australia Gender Parity Index (GPI): Secondary School Enrollment: Gross data is updated yearly, averaging 0.962 Ratio from Dec 1993 (Median) to 2020, with 11 observations. The data reached an all-time high of 1.032 Ratio in 1997 and a record low of 0.867 Ratio in 2016. Australia Gender Parity Index (GPI): Secondary School Enrollment: Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Education Statistics. Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.;Weighted average;

Australia Population: as % of Total: Female: Aged 65 and Above data was reported at 18.401 % in 2023. This records an increase from the previous number of 18.055 % for 2022. Australia Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 12.880 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 18.401 % in 2023 and a record low of 9.726 % in 1971. Australia 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 Australia – Table AU.World Bank.WDI: 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.;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.

Gross enrolment ratio, lower secondary, gender parity index (GPI) in Australia was reported at 0.92152 GPI in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Gross enrolment ratio, lower secondary, gender parity index - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Civilian Population: Married: 15 Years & Over: Female: 35-44 Years data was reported at 1,489.116 Person th in Jan 2025. This records a decrease from the previous number of 1,499.149 Person th for Dec 2024. Civilian Population: Married: 15 Years & Over: Female: 35-44 Years data is updated monthly, averaging 1,105.174 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 1,499.149 Person th in Dec 2024 and a record low of 686.817 Person th in Apr 1978. Civilian Population: Married: 15 Years & Over: Female: 35-44 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

Civilian Population: 15 Years & Over: Male: 25-29 Years data was reported at 1,027.468 Person th in Jan 2025. This records an increase from the previous number of 1,024.726 Person th for Dec 2024. Civilian Population: 15 Years & Over: Male: 25-29 Years data is updated monthly, averaging 701.207 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 1,027.468 Person th in Jan 2025 and a record low of 579.783 Person th in Feb 1978. Civilian Population: 15 Years & Over: Male: 25-29 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 70-74 years (75) | Female # 50-54 years (66). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Au Gres population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Au Gres is shown in the following column.
• Population (Female): The female population in the Au Gres 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 Au Gres 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 Au Gres Population by Gender. You can refer the same here

In the year to June 2018, V/Line had a total of 1,598 male employees and 366 female employees. In both cases, this represents an increase from the previous year and a continued year on year upward trend.

This statistic displays the number of permanent migrants Australia in 2016, by gender. In 2016, there were 1.13 million female permanent migrant in Australia, approximately hundred thousand more than male permanent migrants.

School enrollment, secondary (gross), gender parity index (GPI) in Australia was reported at 0.96233 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Ratio of female to male secondary enrollment - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

The purpose of this experiment was to determine whether females may be a limited resource within a population of Uca capricornis. The experiment was part of a larger study looking at the …Show full descriptionThe purpose of this experiment was to determine whether females may be a limited resource within a population of Uca capricornis. The experiment was part of a larger study looking at the relationship between neighbouring males and females in this species. Experiments were conducted in the East Point Reserve, Darwin. Fieldwork was conducted yearly in 18 plots (4mx4m) from November-January in 2002-2006. All individuals within the plots were caught and carapace widths measured. This allowed the sex ratio in relation to size to be determined. The location of burrows were also recorded to determine whether the males and females were distributed independently of each other. The distance to, and sex of, the nearest resident for each individual was also measured to compare mean distances between male-female neighbours and between male-male neighbours. Results indicate that an average of 7 crabs per square metre were active on the surface at any time. The sex ratio was strongly male biased, with only 30% of crabs being female. The sex ratio also changed with size; females were significantly rarer in large size classes.

Australia: Ratio of female to male pupils in primary school: The latest value from 2020 is 1 percent, unchanged from 1 percent in 2019. In comparison, the world average is 1.00 percent, based on data from 135 countries. Historically, the average for Australia from 1971 to 2020 is 1 percent. The minimum value, 0.98 percent, was reached in 1984 while the maximum of 1.02 percent was recorded in 1999.

This dataset provides values for GROSS ENROLMENT RATIO PRIMARY AND 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.