This dataset provides Census 2022 estimates for Tenure in the unit of people in households in Scotland.

Tenure of household

A classification of whether a household rents or owns the accommodation that it occupies. For rented households, this variable also includes information about the type of landlord who owns or manages the accommodation.

This variable is derived from two questions on the household form on household tenure and landlord.

Household question 12: Does your household own or rent this accommodation?

• Owns with a mortgage or loan
• Owns outright
• Owns with shared equity (for example, LIFT, Help-to-Buy)
• Rents (with or without housing benefit)
• Part owns and part rents (shared ownership)
• Lives rent free

Household question 13: Who is your landlord? (Only asked of households who are renting)

• Council (Local Authority) or Housing Association / Registered Social Landlord
• Private landlord or letting agency
• Other

Details of classification can be found here

The quality assurance report can be found here

Archive of 1981 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.

About this dataset

Context

The dataset tabulates the Scotland population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Scotland. The dataset can be utilized to understand the population distribution of Scotland by age. For example, using this dataset, we can identify the largest age group in Scotland.

Key observations

The largest age group in Scotland, SD was for the group of age 85 years and over years with a population of 66 (8.25%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scotland, SD was the 80 to 84 years years with a population of 16 (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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Scotland is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Scotland 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 Scotland Population by Age. You can refer the same here

This dataset provides Census 2022 estimates for Household tenure by age of Household Reference Person in Scotland.

Age

A person’s age on Census day (20 March 2022) calculated from their date of birth. Infants less than one year old are classed as being 0 years of age.

Household reference person

The concept of a Household Reference Person (HRP) was introduced in the 2001 Census (in common with other government surveys in 2001/2) to replace the traditional concept of the 'head of the household'. HRPs provide an individual person within a household to act as a reference point for producing further derived statistics and for characterising a whole household according to characteristics of the chosen reference person.

For a person living alone, it follows that this person is the HRP.

If a household contains only one family (with or without ungrouped individuals) then the HRP is the same as the Family Reference Person (FRP).

The Family Reference Person (FRP) is identified by criteria based on the family make up:

In a lone parent family it is taken to be the lone parent.

In a couple family, the FRP is chosen from the two people in the couple on the basis of their economic activity (in the priority order: full-time job, part-time job, unemployed, retired, other). If both people have the same economic activity, the FRP is identified as the elder of the two or, if they are the same age, the first member of the couple on the form.

If there is more than one family in a household the HRP is chosen from among the FRPs using the same criteria used to choose the FRP. This means the HRP will be selected from the FRPs on the basis of their economic activity, in the priority order:

• Economically active, employed, full-time, non-student
• Economically active, employed, full-time, student
• Economically active, employed, part-time, non-student
• Economically active, employed, part-time, student
• Economically active, unemployed, non-student
• Economically active, unemployed, student
• Economically inactive, retired
• Economically inactive, other

If some or all FRPs have the same economic activity, the HRP is the eldest of the FRPs. If some or all are the same age, the HRP is the first of the FRPs from the order in which they were listed on the questionnaire.

For families in which there is generational divide between family members that cannot be determined (Other related family), there is no FRP. Members of these families are treated the same as ungrouped individuals.

If a household is made up entirely of any combination of ungrouped individuals and other related families, the HRP is chosen from among all people in the household, using the same criteria used to choose between FRPs. Students at their non term-time address cannot be the HRP.

Details of classification can be found here

Tenure of household

A classification of whether a household rents or owns the accommodation that it occupies. For rented households, this variable also includes information about the type of landlord who owns or manages the accommodation.

This variable is derived from two questions on the household form on household tenure and landlord.

Household question 12: Does your household own or rent this accommodation?

• Owns with a mortgage or loan
• Owns outright
• Owns with shared equity (for example, LIFT, Help-to-Buy)
• Rents (with or without housing benefit)
• Part owns and part rents (shared ownership)
• Lives rent free

Household question 13: Who is your landlord? (Only asked of households who are renting)

• Council (Local Authority) or Housing Association / Registered Social Landlord
• Private landlord or letting agency
• Other

Details of classification can be found here

The quality assurance report can be found here

About this dataset

Context

The dataset tabulates the Scotland population by age. The dataset can be utilized to understand the age distribution and demographics of Scotland.

Content

The dataset constitues the following three datasets

• Scotland, TX Age Group Population Dataset: A complete breakdown of Scotland age demographics from 0 to 85 years, distributed across 18 age groups
• Scotland, TX Age Cohorts Dataset: Children, Working Adults, and Seniors in Scotland - Population and Percentage Analysis
• Scotland, TX Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

Data presented here is an extract of data taken from the Annual School Meal Census in publicly funded schools in Scotland. The data shows the provision of school meals (including free school meals) for each school in the Glasgow local authority area. The dataset forms part of a time series and is available for the years 2003 through to 2014. Full datasets can be downloaded from The Scottish Government. The data is graduated to school level and data includes: the numbers on the school roll; counts of pupils entitled to free school meals; counts of pupils present on the day of the survey, counts of pupils taking a school meal (free or not) on the day of the survey; and counts of pupils taking a free school meal on the day of the survey. In order to protect the identity of pupils a * used in the dataset denotes the number of pupils is 4 or less (zero included) or where such a figure could be worked out. A * * used in the dataset denotes where the difference between the number of pupils on the register and pupils with FME is 4 or less. Some of the datasets also include information on breakfast clubs, the provision of fresh fruit and water and the anonymity of the free school meal application process. The School Meal Census is carried out annually. For individual dataset errata or qualifications users should consult the background data or notes of the individual datasets. Licence: None fsm2003-2014.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/7a0f701f-b55f-463f-a748-d62d6adf9979/File/51a57ba3-cf7b-4738-90ff-81d48dac9820/Version/7e43a6c6-cff0-4be2-b6e4-cd2e9c2707a5

About this dataset

Context

The dataset tabulates the Scotland population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Scotland.

Content

The dataset constitues the following two datasets across these two themes

• Scotland, TX Population Breakdown by Gender
• Scotland, TX Population Breakdown by Gender and Age

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/.

The second Scottish Church Census was carried out on May 11-12, 2002. Comparable studies have been conducted in Scotland in 1984 and 1994 and in England in 1979, 1989, 1998 and 2005. All were organized and led by Dr Peter Brierley, executive director of the organization Christian Research prior to his retirement in 2007.

The aim of the study was to ascertain the number and frequency of people attending church of all denominations in Scotland in 2002. Several denominational changes had taken place in Scotland since the last census in 1994 ("https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=4395#!/details" Target="_blank">SN 4395) and 1984 ("https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=2554" Target="_blank">SN 2554). Political changes, with the formation of the Scottish Parliament, had brought about boundary changes for many councils, by which church attendance was previously analyzed. A combination of denomination, political and population changes had necessitated a revision of church attendance. In particular the study was to evaluate if the age structure of churchgoers had altered over the past decade and to establish if the trend in decline in the number of young people attending Sunday worship in England was true of Scotland.

National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).

About this dataset

Context

The dataset tabulates the New Scotland town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Scotland town. The dataset can be utilized to understand the population distribution of New Scotland town by age. For example, using this dataset, we can identify the largest age group in New Scotland town.

Key observations

The largest age group in New Scotland, New York was for the group of age 50 to 54 years years with a population of 877 (9.65%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Scotland, New York was the 85 years and over years with a population of 192 (2.11%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Scotland town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Scotland 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 New Scotland town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Scotland County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Scotland County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Scotland County was 34,376, a 0.08% increase year-by-year from 2022. Previously, in 2022, Scotland County population was 34,350, an increase of 0.19% compared to a population of 34,285 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Scotland County decreased by 1,583. In this period, the peak population was 36,533 in the year 2008. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Scotland County is shown in this column.
• Year on Year Change: This column displays the change in Scotland County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Scotland County Population by Year. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (486) | Female # 55-59 years (457). 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 New Scotland town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Scotland town is shown in the following column.
• Population (Female): The female population in the New Scotland 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 New Scotland 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 New Scotland town Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Scotland Neck population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Scotland Neck across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Scotland Neck was 1,598, a 1.05% decrease year-by-year from 2022. Previously, in 2022, Scotland Neck population was 1,615, a decline of 1.16% compared to a population of 1,634 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Scotland Neck decreased by 805. In this period, the peak population was 2,403 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Scotland Neck is shown in this column.
• Year on Year Change: This column displays the change in Scotland Neck population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Scotland Neck Population by Year. You can refer the same here

About this dataset

Context

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

Key observations

There is a majority of female population, with 56.0% 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 Scotland is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Scotland 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 Scotland Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Scotland town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Scotland town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of Scotland town was 1,568, a 0.06% decrease year-by-year from 2020. Previously, in 2020, Scotland town population was 1,569, a decline of 6.22% compared to a population of 1,673 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Scotland town increased by 13. In this period, the peak population was 1,726 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-scotland-ct-population-by-year-2000-2021.jpeg" alt="Scotland town population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Scotland town is shown in this column.
• Year on Year Change: This column displays the change in Scotland town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Scotland town Population by Year. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Scotland: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 100(28.99%) households with a householder aged between 25 and 44 years, 125(36.23%) households with a householder aged between 45 and 64 years, and 120(34.78%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Scotland, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Scotland median household income by age. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (1,338) | Female # 0-4 years (1,159). 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 Scotland County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Scotland County is shown in the following column.
• Population (Female): The female population in the Scotland 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 Scotland 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 Scotland County Population by Gender. You can refer the same here