About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (36) | Female # 85+ years (50). 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 population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Scotland is shown in the following column.
• Population (Female): The female population in the Scotland 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 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 Population by Gender. You can refer the same here

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, GA was for the group of age 5 to 9 years years with a population of 48 (18.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scotland, GA was the 75 to 79 years years with a population of 0 (0%). 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

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).

Scotland’s population was estimated to be 5,479,900 at mid-2021 (30 June 2021). The population increased by 13,900 people (0.25%) in the year to mid-2021. The average annual growth in the 5 years before the pandemic was higher than this, at around 23,100 people (0.43%). There have been more deaths than births for the last seven years. In the latest year, deaths outnumbered births by the largest amount on record. Migration was the main driver of population growth over the latest year. More people moved to Scotland than left, as has been the case for the last two decades. The pattern of population change was different to previous years. In the latest year, the population of the largest cities fell, which was a change from growth in previous years. The greatest population growth was in council areas around Edinburgh. In addition, many rural areas which had previously had falling populations saw an increase in population over the latest year.

This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).

NRS publishes mid-year population estimates on an annual basis. The most recent data, released in June 2021 are sourced from Table 9, “Land area and population density by administrative area, mid-2020”, on the NRS website Mid-2020 Population Estimates Scotland page. This data set is an extract of that table showing Perth and Kinross Council area only together with extracts of previous years estimates.

This app is published as Open Data, is the most recent, and replaces any previously published dataset.Scottish Index of Multiple Deprivation (2020), Small Area Population Estimates (2021), and Child Poverty (2022/23)The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.Child Poverty by Datazone (2022/23)This app uses the following published resources:mapdataset

This dataset portrays the boundaries of ‘Settlements’ in Scotland as at 2001 Census.

There is widespread interest in statistics for the built-up areas in Scotland as most of the population lives in a built-up environment. When the former two-tier local government structure of regions and districts came into being in May 1975, the small local authorities known as large and small burghs were lost. However, Census users stated that there was a need to know the population (and characteristics) of built-up areas.

There are 2 datasets which are designed to show the boundaries of ‘urban areas’ in Scotland: ‘Localities’ and ‘Settlements’. While “Settlements’ can go a long way in defining the towns and cities in Scotland, some are very extensive and have grouped together some very large populations. For example the settlement of ‘Greater Glasgow’ has a large population but no breakdown was given of the settlement into any constituent towns or cities such as Airdrie or Paisley. Accordingly, since 2001, the larger ‘Settlements’ have been divided into ‘Localities’ using as a basis the areas so designated in the 1991 Census report ‘Key statistics for ‘localities’ in Scotland (ISBN 0-11-495736-3)’.

For the 2001 Census, NRS had developed a new process to identify ‘Settlements’ which were defined as:

‘A collection of contiguous high population density postcodes whose total population was 500 or more, bounded by low density postcodes (or water).’

The Scottish Index of Multiple Deprivation (SIMD) 2009 is the Scottish Government’s official tool for identifying concentrations of deprivation in Scotland. SIMD09 is the Scottish Government’s third edition since 2004. The Scottish Index of Multiple Deprivation (SIMD) combines seven different domains (aspects) of deprivation: income; employment; health; education, skills and training; geographic access to services; crime; and housing. These domains are measured using a number of indicators to form ranks for each domain. Data zones are ranked from 1 being most deprived to 6,505 being least deprived. Each of the seven domain ranks are then combined to form the overall SIMD. This provides a measure of relative deprivation at data zone level, so it tells you that one data zone is relatively more deprived than another but not how much more deprived.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (173) | Female # 35-39 years (216). 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 Neck population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Scotland Neck is shown in the following column.
• Population (Female): The female population in the Scotland Neck 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 Neck 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 Neck Population by Gender. You can refer the same here

BackgroundPolicy consensus in high-income countries supports offering pregnant women with previous cesarean section a choice between planning an elective repeat cesarean section (ERCS) or attempting a vaginal birth, known as a planned vaginal birth after previous cesarean (VBAC), provided they do not have contraindications to planned VBAC. However, robust comprehensive information on the associated outcomes to counsel eligible women about this choice is lacking. This study investigated the short-term maternal and perinatal outcomes associated with planned mode of delivery after previous cesarean section among women delivering a term singleton and considered eligible to have a planned VBAC.Methods and findingsA population-based cohort of 74,043 term singleton births in Scotland between 2002 and 2015 to women with one or more previous cesarean sections was conducted using linked Scottish national datasets. Logistic or modified Poisson regression, as appropriate, was used to estimate the effect of planned mode of delivery on maternal and perinatal outcomes adjusted for sociodemographic, maternal medical, and obstetric-related characteristics. A total of 45,579 women gave birth by ERCS, and 28,464 had a planned VBAC, 28.4% of whom went on to have an in-labor nonelective repeat cesarean section. Compared to women delivering by ERCS, those who had a planned VBAC were significantly more likely to have uterine rupture (0.24%, n = 69 versus 0.04%, n = 17, adjusted odds ratio [aOR] 7.3, 95% confidence interval [CI] 3.9–13.9, p < 0.001), a blood transfusion (1.14%, n = 324 versus 0.50%, n = 226, aOR 2.3, 95% CI 1.9–2.8, p < 0.001), puerperal sepsis (0.27%, n = 76 versus 0.17%, n = 78, aOR 1.8, 95% CI 1.3–2.7, p = 0.002), and surgical injury (0.17% versus 0.09%, n = 40, aOR 3.0, 95% CI 1.8–4.8, p < 0.001) and experience adverse perinatal outcomes including perinatal death, admission to a neonatal unit, resuscitation requiring drugs and/or intubation, and an Apgar score < 7 at 5 minutes (7.99%, n = 2,049 versus 6.37%, n = 2,570, aOR 1.6, 95% CI 1.5–1.7, p < 0.001). However, women who had a planned VBAC were more likely than those delivering by ERCS to breastfeed at birth or hospital discharge (63.6%, n = 14,906 versus 54.5%, n = 21,403, adjusted risk ratio [aRR] 1.2, 95% CI 1.1–1.2, p < 0.001) and were more likely to breastfeed at 6–8 weeks postpartum (43.6%, n = 10,496 versus 34.5%, n = 13,556, aRR 1.2, 95% CI 1.2–1.3, p < 0.001). The effect of planned mode of delivery on the mother’s risk of having a postnatal stay greater than 5 days, an overnight readmission to hospital within 42 days of birth, and other puerperal infection varied according to whether she had any prior vaginal deliveries and, in the case of length of postnatal stay, also varied according to the number of prior cesarean sections. The study is mainly limited by the potential for residual confounding and misclassification bias.ConclusionsAmong women considered eligible to have a planned VBAC, planned VBAC compared to ERCS is associated with an increased risk of the mother having serious birth-related maternal and perinatal complications. Conversely, planned VBAC is associated with an increased likelihood of breastfeeding, whereas the effect on other maternal outcomes differs according to whether a woman has any prior vaginal deliveries and the number of prior cesarean sections she has had. However, the absolute risk of adverse outcomes is small for either delivery approach. This information can be used to counsel and manage the increasing number of women with previous cesarean section, but more research is needed on longer-term outcomes.

National Records of Scotland (NRS) create and maintain digital settlement geographies to support the creation of statistics for areas that generally describe the urban or built up areas of Scotland. NRS define a settlement as a collection of contiguous high density postcodes, bounded by low density postcodes (or water), with a population of 500 or more. This dataset represents the population weighted centroids for each settlement. Current Settlement geographies are reflective of mid-2016 populations, having been created using an amended version of postcodes from the Scottish Postcode Directory (SPD) 2016, release 2. Older versions of Settlements and Localities geographies are available from the NRS website.

Intermediate zone centroids are point features that represent the population weighted centre of intermediate zones - the geography used for the dissemination of results from Scottish Neighbourhood Statistics (SNS) that unsuitable for release at data zone level. Centroids were calculated from a population weighted sum of data zone centroids that fall within an intermediate zone. Eastings and northings for each data zone were multiplied by their population, summed based upon the intermediate zone in which they fell, and then divided by the total population of the intermediate zone. These centroids are in turn used to link intermediate zones to other (higher) geographies via a spatial join, producing a 'best-fit' match between intermediate zones and other SNS geographies. There are 1,235 intermediate zones across Scotland, and each have been assigned an individual code that follows the Scottish Government's standard naming and coding convention. The code prefix is S02, which has been assigned to designate intermediate zones. In most cases, intermediate zones were also been assigned a name by the relevant Community Planning Partnership. From time to time Local Authorities may choose to update these names, and this dataset will be updated to reflect these changes.

Abstract copyright UK Data Service and data collection copyright owner.

NHS Health Scotland is the national agency for health education in Scotland, providing leadership for health promotion in Scotland. Its remit includes:

• educational action to strengthen individuals' knowledge, skills and capabilities
• building the capacities of systems which shape the social, environmental and economic conditions which create and sustain health

NHS Health Scotland is also committed to measuring the effectiveness of its activities and commissions research to provide reliable evaluation evidence and to inform the development of programmes. As part of this research programme, BMRB Social Research were commissioned to conduct the first Health Education Population Survey (HEPS) every March and September from March 1996 until March 1999 (seven waves in total). The resulting data, covering all three years, are held at the UK Data Archive as a single study under SN 4949. The second and following HEPS surveys were then conducted every March and September until September 2005 (ten waves in total), with two waves comprising each yearly dataset (see SNs 4950-4952, 5202 and 5470). Fieldwork was then commissioned for a further four waves, with waves eleven and twelve (conducted January-April and August-December 2006) comprising the 2006 dataset, held under SN 5713. These were followed by waves thirteen and fourteen (conducted January-April and August-November 2007) and are held under SN 6023.

The main objectives of HEPS are as follows:

• to monitor trends in health-related attitudes, knowledge, beliefs and behaviours, and to assess the impacts of specific activities
• contribute to planning and development of health promotion initiatives through the inclusion of more detailed modules on topical issues

In the longer term, HEPS aims to develop a strategic view of how and where health promotion activity may be most effective. This can be achieved in the following ways:

• identifying levels of knowledge regarding the main causes of ill-health
• identifying salient attitudes with respect to health and means of improving health
• identifying levels of motivation with respect to behaviour change to improve health
• developing an understanding of how such indicators may be expected to vary between different population groups
• developing an understanding of individual patterns of health-related attitudes and behaviour and their relationship to the broader socio-cultural environment
• developing an understanding of specific areas of interest

Further information and links to publications based on HEPS may be found by search on the healthscotland.com web site.


Main Topics:

This dataset contains the data collected during HEPS waves 5 and 6, comprising the 2003 HEPS. The following topics were covered in the questionnaire: general health (including GHQ12); diseases; nutrition; breastfeeding; physical activity; alcohol; smoking; oral health; accidents and safety; social capital; sexual health and relationships; HIV/AIDS; and drugs.

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 51.07% of total population being male. 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.

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 town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of 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 Scotland town Population by Gender. You can refer the same here

These data identify persistent poverty counties for 10|20|30 funding formulas. In these counties, at least 20% of the population had incomes below poverty in 1997, 2007, 2017, and 2020 as estimated by the Small Area Income & Poverty Estimates (SAIPE) from the US Census Bureau. These data also indicate how many times a county met this threshold for these 4 periods (from 0 to 4). In addition, these data include the total number of census tracts and tracts consisting of 20% or more of the population with incomes below poverty (considered "high poverty" tracts) based on the 2015-2019 American Community Survey estimates. The data also include the percent in poverty and the population in poverty for these four periods. Please note that LINC also includes historical data on poverty from the American Community Survey and the 2000 and before decennial census. These estimates may differ. In addition, the choice of different time periods may lead to different results regarding persistent poverty counties and numbers of high poverty census tracts.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.61% 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 New Scotland town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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 Race & Ethnicity. 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

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 male population, with 54.7% of total population being male. 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 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