Bosnia and Herzegovina BA: Persistence to Grade 5: Female: % of Cohort data was reported at 98.037 % in 2022. This records an increase from the previous number of 94.060 % for 2021. Bosnia and Herzegovina BA: Persistence to Grade 5: Female: % of Cohort data is updated yearly, averaging 94.230 % from Dec 2009 (Median) to 2022, with 14 observations. The data reached an all-time high of 98.084 % in 2016 and a record low of 72.989 % in 2009. Bosnia and Herzegovina BA: Persistence to Grade 5: Female: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.World Bank.WDI: Social: Education Statistics. Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (5) | Female # 60-64 years (5). 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 Twin Brooks population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Twin Brooks is shown in the following column.
• Population (Female): The female population in the Twin Brooks 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 Twin Brooks 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 Twin Brooks Population by Gender. You can refer the same here

Laos LA: Persistence to Grade 5: % of Cohort data was reported at 79.634 % in 2015. This records an increase from the previous number of 78.723 % for 2014. Laos LA: Persistence to Grade 5: % of Cohort data is updated yearly, averaging 63.113 % from Dec 1992 (Median) to 2015, with 22 observations. The data reached an all-time high of 79.634 % in 2015 and a record low of 53.133 % in 1993. Laos LA: Persistence to Grade 5: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Education Statistics. Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Weighted average;

About this dataset

Context

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

Key observations

Largest age group (population): Male # 45-49 years (129) | Female # 45-49 years (89). 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 Oak Grove population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oak Grove is shown in the following column.
• Population (Female): The female population in the Oak Grove 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 Oak Grove 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 Oak Grove Population by Gender. You can refer the same here

Persistence to grade 5, total (% of cohort) in Spain was reported at 99.97 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Spain - Persistence to grade 5, total (% of cohort) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Sao Tome and Principe ST: Persistence to Grade 5: Male: % of Cohort data was reported at 88.418 % in 2010. This records an increase from the previous number of 73.789 % for 2008. Sao Tome and Principe ST: Persistence to Grade 5: Male: % of Cohort data is updated yearly, averaging 73.789 % from Dec 2001 (Median) to 2010, with 7 observations. The data reached an all-time high of 88.418 % in 2010 and a record low of 59.293 % in 2001. Sao Tome and Principe ST: Persistence to Grade 5: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sao Tome and Principe – Table ST.World Bank.WDI: Education Statistics. Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Weighted average;

Persistence to grade 5, total (% of cohort) in Switzerland was reported at 99.69 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Switzerland - Persistence to grade 5, total (% of cohort) - actual values, historical data, forecasts and projections were sourced from the World Bank on April of 2025.

The statistic depicts the survey results concerning the question "How important do you think social media will be in five years?". 48 percent of the respondents think that social media will become more important than Pay Per Click (PPC) in 5 years' time.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 35-39 years (14) | Female # 70-74 years (12). 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 Latty population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Latty is shown in the following column.
• Population (Female): The female population in the Latty 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 Latty 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 Latty Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (198) | Female # 5-9 years (150). 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 Mount Olive population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mount Olive is shown in the following column.
• Population (Female): The female population in the Mount Olive 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 Mount Olive 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 Mount Olive Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (5) | Female # 20-24 years (5). 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 Grand Pass population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Grand Pass is shown in the following column.
• Population (Female): The female population in the Grand Pass 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 Grand Pass 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 Grand Pass Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (6) | Female # 25-29 years (4). 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 Ritchey population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Ritchey is shown in the following column.
• Population (Female): The female population in the Ritchey 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 Ritchey 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 Ritchey Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (5) | Female # 5-9 years (2). 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 Huntsdale population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Huntsdale is shown in the following column.
• Population (Female): The female population in the Huntsdale 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 Huntsdale 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 Huntsdale Population by Gender. You can refer the same here

Repeaters in Grade 5 of primary education, both sexes (number) in Cameroon was reported at 80356 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Cameroon - Repeaters in Grade 5 of primary education, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Persistence to grade 5, total (% of cohort) in Latvia was reported at 95.81 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Latvia - Persistence to grade 5, total (% of cohort) - actual values, historical data, forecasts and projections were sourced from the World Bank on April of 2025.

Poland PL: Persistence to Grade 5: % of Cohort data was reported at 98.376 % in 2015. This records a decrease from the previous number of 98.410 % for 2014. Poland PL: Persistence to Grade 5: % of Cohort data is updated yearly, averaging 98.045 % from Dec 1971 (Median) to 2015, with 43 observations. The data reached an all-time high of 100.000 % in 1998 and a record low of 91.242 % in 1997. Poland PL: Persistence to Grade 5: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank.WDI: Education Statistics. Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Weighted average;

Persistence to grade 5, female (% of cohort) in Madagascar was reported at 33.26 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Madagascar - Persistence to grade 5, female (% of cohort) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (3,731) | Female # 25-29 years (3,531). 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 Royal Oak population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Royal Oak is shown in the following column.
• Population (Female): The female population in the Royal Oak 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 Royal Oak 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 Royal Oak Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (523) | Female # 5-9 years (459). 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 Tea population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Tea is shown in the following column.
• Population (Female): The female population in the Tea 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 Tea 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 Tea Population by Gender. You can refer the same here