Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Census 2021 data: 19 tick-box ethnic groups, by age, sex, and age and sex.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by age group.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Excel Age-Range creator for Office for National Statistics (ONS) Mid year population estimates (MYE) covering each year between 1999 and 2014
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These files take into account the revised estimates for 2002-2010 released in April 2013 down to Local Authority level and the post 2011 estimates based on the Census results. Scotland and Northern Ireland data has not been revised, so Great Britain and United Kingdom totals comprise the original data for these plus revised England and Wales figures.
This Excel based tool enables users to query the single year of age raw data so that any age range can easily be calculated without having to carry out often complex, and time consuming formulas that could also be open to human error. Simply select the lower and upper age range for both males and females and the spreadsheet will return the total population for the range. Please adhere to the terms and conditions of supply contained within the file.
Tip: You can copy and paste the rows you are interested in to another worksheet by using the filters at the top of the columns and then select all by pressing Ctrl+A. Then simply copy and paste the cells to a new location.
ONS Mid year population estimates
Open Excel tool (London Boroughs, Regions and National, 1999-2014)
Also available is a custom-age tool for all geographies in the UK. Open the tool for all UK geographies (local authority and above) for: 2010, 2011, 2012, 2013, and 2014.
This full MYE dataset by single year of age (SYA) age and gender is available as a Datastore package here.
Ward Level Population estimates
Excel single year of age population tool for 2002 to 2013 for all wards in London.
New 2014 Ward boundary estimates
This data is only for wards in the three London boroughs that changed their ward boundaries in May 2014. The estimates in this spreadsheet have been calculated by the GLA by taking the proportion of a the old ward that falls within the new ward based on the proportion of population living in each area at the 2011 Census. Therefore, these estimates are purely indicative and are not official statistics and not endorsed by ONS.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Population figures over a 25-year period, by five-year age groups and sex for local authorities in England. 2022-based datasets are the latest projection.
Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇬🇧 United Kingdom English ONS Mid-year estimates (MYE) of resident populations for London boroughs are available in the following files: Mid-year population by single year of age (SYA) and sex, for each year 1999 to 2014. ONS mid-year estimates data back to 1961 total population for each year since 1961. These files take into account the revised estimates released in 2010. Ward level Population Estimates London wards single year of age data covering each year since 2002. Custom Age Range Tool An Excel tool is available that uses Single year of age data that enables users to select any age range required. ONS policy is to publish population estimates rounded to at least the nearest hundred persons. Estimates by single year of age, and the detailed components of change are provided in units to facilitate further calculations. They cannot be guaranteed to be as exact as the level of detail implied by unit figures. Estimates are calculated by single year of age but these figures are less reliable and ONS advise that they should be aggregated to at least five-year age groupings for use in further calculations, onwards circulation, or for presentation purposes. (Splitting into 0 year olds and 1-4 year olds is an acceptable exception). ONS mid-year population estimates data by 5 year age groups going all the way back to 1981, are available on the NOMIS website. Data are Crown Copyright and users should include a source accreditation to ONS - Source: Office for National Statistics. Under the terms of the Open Government License (OGL) and UK Government Licensing Framework, anyone wishing to use or re-use ONS material, whether commercially or privately, may do so freely without a specific application. For further information, go to http://www.nationalarchives.gov.uk/doc/open-government-licence/ or phone 020 8876 3444. For a detailed explanation of the methodology used in population estimates, see papers available on the Population Estimates section of the ONS website. Additional information can also be obtained from Population Estimates Customer Services at pop.info@ons.gsi.gov.uk (Tel: 01329 444661). 리소스 HTML population-estimates-single-year-age.xls
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Claimant Count by age group and sex, UK, published monthly. These are official statistics in development.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
These datasets provide datasets on the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it, by age and sex using Census 2021 data.
Religious groups in the detailed religion classification
The counts for religious groups identified in the Religion (detailed) in England and Wales dataset are a representation of those who chose to write in their religion. Some people may have chosen to describe a denomination of one of the tick-box responses (for example, Catholic as a denomination of Christian or Orthodox as a denomination of Jewish) through the "Any other religion" write-in response option.
2011 Religion data
In 2011, an error in the processing of census data led to the number of usual residents in the “Religion not stated” category being overestimated by a total of 62,000 for the following three local authorities combined: Camden, Islington, and Tower Hamlets.
In February 2015, the ONS published corrected figures for estimates based on the tick-box classification. However, it could not be corrected for the detailed religion classification because the processing and relationships with other output variables are so complex.
For this reason, only apply comparisons for these three local authorities to the tick-box classification, using the corrected figures set out in the ONS 2011 Census products: Issues and corrections notice.
For this publication, where corrected figures for the tick-box classification from the 2011 Census are available, they have been used. Where they are not (for single year of age by sex), the ONS has used data from the CT0291_2011 commissioned table.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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).
As of June 2025, users aged 25 to 34 years made up Facebook's largest audience in the United States, accounting for **** percent of the social network's user base, with **** percent of those users being women. Overall, *** percent of users aged 35 to 44 years were women, and *** percent were men. How many people use Facebook in the United States? ******** is by far the most used social network in the world and finds a huge share of its audience in ****************** Facebook’s U.S. audience size comes second only to India. In 2023, there were over *** million Facebook users in the U.S. By 2028, it is estimated that around *** million people in the U.S. will be signed up for the platform. How do users in the United States view the platform? Although Facebook is widely used and very popular with U.S. consumers, there are issues of trust with its North American audience. As of November 2021, ** percent of respondents reported that they did not trust Facebook with their personal data. Despite having privacy doubts, a May 2022 survey found that ** percent of adults had a very favorable opinion of Facebook, and one-third held a somewhat positive view of the platform.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Cornwall-On-Hudson 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 Cornwall-On-Hudson. The dataset can be utilized to understand the population distribution of Cornwall-On-Hudson by age. For example, using this dataset, we can identify the largest age group in Cornwall-On-Hudson.
Key observations
The largest age group in Cornwall-On-Hudson, NY was for the group of age 55 to 59 years years with a population of 354 (11.62%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Cornwall-On-Hudson, NY was the 80 to 84 years years with a population of 17 (0.56%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Cornwall-On-Hudson Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Grand View-On-Hudson by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grand View-On-Hudson. The dataset can be utilized to understand the population distribution of Grand View-On-Hudson by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grand View-On-Hudson. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Grand View-On-Hudson.
Key observations
Largest age group (population): Male # 55-59 years (21) | Female # 15-19 years (27). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Grand View-On-Hudson Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Eurostat’s annual data collections on population are structured as follows:
POPSTAT Population statistics data collection: The most in-depth annual national and regional demographic and migration data collection. The data relate to populations, births, deaths, immigrants, emigrants, marriages and divorces, and is broken down into several categories (Article 3 of Regulation (EU) No 1260/2013 and Article 3 of Regulation (EU) No 862/2007).
URESPOP Usually resident population: Usually resident population for the purpose of the qualified majority voting.
Formore specific information, please see the metadata on Usually resident population (Article 4 of Regulation (EU) No 1260/2013).
Member States send population data to Eurostat data as on of 31 December for the reference year under http://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32013R1260&from=EN" target="_blank">Regulation 1260/2013 on European demographic statistics. The data are conventionally published by Eurostat as population on 1 January of the following year (reference year + 1).
The aim is to collect annual mandatory and voluntary demographic data from the national statistical institutes. Mandatory data are those defined by the legislation listed under ‘6.1. Institutional mandate — legal acts and other agreements’.
The completeness of the demographic data collected on a voluntary basis depends on the availability and completeness of information provided by the national statistical institutes.
For more information on mandatory/voluntary data collection, see 6.1. Institutional mandate — legal acts and other agreements.
The following statistics are available.
Population on 1 January by sex and by:
Population structure statistics: median age of population, proportion of population by various age groups, old age dependency ratio.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Mortality rates (qx) values from the national life tables release, presented in time series format. These statistics are for males and females for England, Wales, Scotland, Northern Ireland and the UK.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Castleton-On-Hudson 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 Castleton-On-Hudson. The dataset can be utilized to understand the population distribution of Castleton-On-Hudson by age. For example, using this dataset, we can identify the largest age group in Castleton-On-Hudson.
Key observations
The largest age group in Castleton-On-Hudson, NY was for the group of age 55-59 years with a population of 148 (10.24%), according to the 2021 American Community Survey. At the same time, the smallest age group in Castleton-On-Hudson, NY was the 75-79 years with a population of 14 (0.97%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Castleton-On-Hudson Population by Age. You can refer the same here
As of February 2025, 37.5 percent of X’s (formerly Twitter) global audience was aged between 25 and 34 years. The second-largest age group demographic on the platform was represented by users aged between 18 and 24 years, with a share of 32.1 percent. Users aged less than 18 years accounted for two percent of users, while those aged 50 or older accounted for roughly 7.3 percent. X is a male-dominated platform As of January 2024, more than 60 percent of X users were male. Although all mainstream social media platforms tend to have a slightly more male-skewing audience, X stands out above Instagram, Snapchat, TikTok, and Facebook when it comes to user gender demographics. Overall, Pinterest is the only mainstream platform to have a higher share of female users. X Blue for you It is not uncommon for social media users to now have the chance to become subscribers of their chosen online networks for a monthly fee. X Blue is a subscription service from X that gives users special benefits and features. A blue verification mark, edit post functionality, fewer ads, priority ranking in chats, and longer video upload times are some of the perks offered.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Eurostat’s annual data collections on population are structured as follows:
POPSTAT Population statistics data collection: The most in-depth annual national and regional demographic and migration data collection. The data relate to populations, births, deaths, immigrants, emigrants, marriages and divorces, and is broken down into several categories (Article 3 of Regulation (EU) No 1260/2013 and Article 3 of Regulation (EU) No 862/2007).
URESPOP Usually resident population: Usually resident population for the purpose of the qualified majority voting.
Formore specific information, please see the metadata on Usually resident population (Article 4 of Regulation (EU) No 1260/2013).
Member States send population data to Eurostat data as on of 31 December for the reference year under http://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32013R1260&from=EN" target="_blank">Regulation 1260/2013 on European demographic statistics. The data are conventionally published by Eurostat as population on 1 January of the following year (reference year + 1).
The aim is to collect annual mandatory and voluntary demographic data from the national statistical institutes. Mandatory data are those defined by the legislation listed under ‘6.1. Institutional mandate — legal acts and other agreements’.
The completeness of the demographic data collected on a voluntary basis depends on the availability and completeness of information provided by the national statistical institutes.
For more information on mandatory/voluntary data collection, see 6.1. Institutional mandate — legal acts and other agreements.
The following statistics are available.
Population on 1 January by sex and by:
Population structure statistics: median age of population, proportion of population by various age groups, old age dependency ratio.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Mid-year (30 June) estimates of the usual resident population for Lower layer Super Output Areas (LSOAs) in England and Wales by broad age groups and sex.
According to a survey conducted in January 2025, 54 percent of parents in the United States (U.S.) strongly favored the requirement of age verification on social media platforms to prevent users aged under 16 years from using such platforms. Another 28 percent were somewhat supportive of social media policies limiting young users from joining the platform.
As of March 2025, 19 U.S. states had state-level data privacy laws signed, with obligation for businesses to allow opt-in default with age limitation. The majority of laws had the opt-in consent default for individuals 13 years and older.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Census 2021 data: 19 tick-box ethnic groups, by age, sex, and age and sex.