Important notice

The Office for Statistics Regulation confirmed on 12/09/2024 that the gender identity estimates from Census 2021 are no longer accredited official statistics and are classified as official statistics in development.

For further information please see: Sexual orientation and gender identity quality information for Census 2021

These datasets provide Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales for gender identity by sex, gender identity by age and gender identity by sex and age.

Gender identity

Gender identity refers to a person's sense of their own gender, whether male, female or another category such as non-binary. This may or may not be the same as their sex registered at birth.

Non-binary

Someone who is non-binary does not identify with the binary categories of man and woman. In these results the category includes people who identified with the specific term "non-binary" or variants thereon. However, those who used other terms to describe an identity that was neither specifically man nor woman have been classed in "All other gender identities".

Sex

This is the sex recorded by the person completing the census. The options were "Female" and "Male".

Trans

An umbrella term used to refer to people whose gender identity is different from their sex registered at birth. This includes people who identify as a trans man, trans woman, non-binary or with another minority gender identity.

Trans man

A trans man is someone who was registered female at birth, but now identifies as a man.

Trans woman

A trans woman is someone who was registered male at birth, but now identifies as a woman.

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

Notes:

• To ensure that individuals cannot be identified in the data, population counts have been rounded to the nearest five and counts under 10 have been suppressed.

• Percentages have been calculated using rounded data.

These datasets provide Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by gender identity, age and sex.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsGender IdentityThis dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by gender identity. The estimates are as at Census Day, 21 March 2021.Definition: Classifies people according to the responses to the gender identity question. This question was voluntary and was only asked of people aged 16 years and over.

Data on broad age groups and gender for the population 15 years of age and older in private households of Canada and census metropolitan areas.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (237) | Female # 0-4 years (210). 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 Dillingham Census Area population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Dillingham Census Area is shown in the following column.
• Population (Female): The female population in the Dillingham Census Area 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 Dillingham Census Area 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 Dillingham Census Area Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (621) | Female # 5-9 years (483). 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 Nome Census Area population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Nome Census Area is shown in the following column.
• Population (Female): The female population in the Nome Census Area 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 Nome Census Area 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 Nome Census Area Population by Gender. You can refer the same here

Data on broad age groups and gender for the census metropolitan areas, census agglomerations and census subdivisions, 2021 and 2016 censuses.

Data on broad age groups and gender for the population of Canada, provinces and territories, census divisions and census subdivisions, 2021 and 2016 censuses.

Important notice

The Office for Statistics Regulation confirmed on 12/09/2024 that the gender identity estimates from Census 2021 are no longer accredited official statistics and are classified as official statistics in development.

For further information please see: Sexual orientation and gender identity quality information for Census 2021

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales, by gender identity and NS-SEC. The estimates are as at Census Day, 21 March 2021.

Particular care must be taken in interpreting census results on gender identity. Please read the Sexual orientation and gender identity quality information for Census 2021 before using this data. Read more about this quality notice.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Gender identity

Classifies people according to the responses to the gender identity question. This question was voluntary and was only asked of people aged 16 years and over.

National Statistics Socio-economic Classification (NS-SeC)

The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.

It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.

Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (407,113) | Female # 30-34 years (391,234). 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 Los Angeles County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Los Angeles County is shown in the following column.
• Population (Female): The female population in the Los Angeles County 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 Los Angeles County 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 Los Angeles County Population by Gender. You can refer the same here

Footnotes:1The boundaries and names of census geographies can change from one census to the next. In order to facilitate data comparisons between censuses, previous census data have been adjusted to reflect as closely as possible the 2021 boundaries of these areas. The methodology used for this adjustment involved spatially linking blocks of previous censuses (concordance to the 1996 Census used the 1996 enumeration areas to the 2021 boundaries). A previous census block was linked to the 2021 area within which its representative point fell. A limited number of interactive linkages were completed to further enhance the adjustment in certain areas. For some census geographies, it was not possible to reflect the 2021 boundaries. The 2021 boundaries may not be reflected as there was no previous census block to assign to the 2021 area. As well previous census data for some 2021 areas may not be available due to the fact that the concordance did not produce an accurate representation of the 2021 area.2Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. Sex 'Sex' refers to whether the person is male or female.3Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. The sex variable in census years prior to 2021 and the two-category gender variable in the 2021 Census are included together in the [data table]. Although sex and gender refer to two different concepts, the introduction of gender is not expected to have a significant impact on data analysis and historical comparability, given the small size of the transgender and non-binary populations. For additional information on changes of concepts over time, please consult the Age, Sex at Birth and Gender Reference Guide.4Prior to the 2021 Census, this category refers to males. Starting in 2021, this category includes men (and/or boys), as well as some non-binary persons.5Low-income status refers to the income situation of the statistical unit in relation to a specific low-income line in a reference year. Statistical units with income that is below the low-income line are considered to be in low income. For the 2021 Census, the reference period for low-income data is the calendar year 2020.6Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date).7Low-income status refers to the income situation of the statistical unit in relation to a specific low-income line in a reference year. Statistical units with income that is below the low-income line are considered to be in low income. For the 2021 Census, the reference period for low income data is the calendar year 2020.8Prevalence of low income - The proportion or percentage of units whose income falls below a specified low-income line.

According to the 2021 Census, there were 30.4 million (51.0%) women and girls and 29.2 million (49.0%) men and boys in England and Wales.

Important notice

The Office for Statistics Regulation confirmed on 12/09/2024 that the gender identity estimates from Census 2021 are no longer accredited official statistics and are classified as official statistics in development.

For further information please see: Sexual orientation and gender identity quality information for Census 2021

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by gender identity and legal partnership status. The estimates are as at Census Day, 21 March 2021.

Some sub-populations have age and geographic profiles that may affect the relationships with other variables such as education, employment, health and housing. Take care when using this variable with others. We will publish more detailed commentary and guidance later this year. Read more about this quality notice.

Separate estimates by opposite and same-sex partnerships for the marital status categories “Separated”, “Divorced/dissolved” and “Widowed/surviving partners” are not available. This is because quality assurance showed the figures for some of the categories were unreliable. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Gender identity

Classifies people according to the responses to the gender identity question. This question was voluntary and was only asked of people aged 16 years and over.

Marital and civil partnership status

Classifies a person according to their legal marital or registered civil partnership status on Census Day 21 March 2021.

It is the same as the 2011 census variable "Marital status" but has been updated for Census 2021 to reflect the revised Civil Partnership Act that came into force in 2019.

In Census 2021 results, "single" refers only to someone who has never been married or in a registered civil partnership.

Footnotes:1The boundaries and names of census geographies can change from one census to the next. In order to facilitate data comparisons between censuses, previous census data have been adjusted to reflect as closely as possible the 2021 boundaries of these areas. The methodology used for this adjustment involved spatially linking blocks of previous censuses (concordance to the 1996 Census used the 1996 enumeration areas to the 2021 boundaries). A previous census block was linked to the 2021 area within which its representative point fell. A limited number of interactive linkages were completed to further enhance the adjustment in certain areas. For some census geographies, it was not possible to reflect the 2021 boundaries. The 2021 boundaries may not be reflected as there was no previous census block to assign to the 2021 area. As well previous census data for some 2021 areas may not be available due to the fact that the concordance did not produce an accurate representation of the 2021 area.2Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. Sex 'Sex' refers to whether the person is male or female.3Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. The sex variable in census years prior to 2021 and the two-category gender variable in the 2021 Census are included together in the [data table]. Although sex and gender refer to two different concepts, the introduction of gender is not expected to have a significant impact on data analysis and historical comparability, given the small size of the transgender and non-binary populations. For additional information on changes of concepts over time, please consult the Age, Sex at Birth and Gender Reference Guide.4Prior to the 2021 Census, this category refers to females. Starting in 2021, this category includes women (and/or girls), as well as some non-binary persons.5Low-income status refers to the income situation of the statistical unit in relation to a specific low-income line in a reference year. Statistical units with income that is below the low-income line are considered to be in low income. For the 2021 Census, the reference period for low-income data is the calendar year 2020.6Prevalence of low income - The proportion or percentage of units whose income falls below a specified low-income line.7Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date).

About this dataset

Context

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

Key observations

Largest age group (population): Male # 65-69 years (267) | Female # 55-59 years (252). 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 Prince of Wales-Hyder Census Area population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Prince of Wales-Hyder Census Area is shown in the following column.
• Population (Female): The female population in the Prince of Wales-Hyder Census Area 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 Prince of Wales-Hyder Census Area 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 Prince of Wales-Hyder Census Area Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (471) | Female # 55-59 years (171). 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 Aleutians West Census Area population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Aleutians West Census Area is shown in the following column.
• Population (Female): The female population in the Aleutians West Census Area 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 Aleutians West Census Area 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 Aleutians West Census Area Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (128) | Female # 35-39 years (167). 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 Kouts population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Kouts is shown in the following column.
• Population (Female): The female population in the Kouts 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 Kouts 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 Kouts Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 0-4 years (2,026) | Female # 10-14 years (2,041). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

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

Scope of gender :

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

Variables / Data Columns

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