IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Dataset Name: Demographic data from 2021 CensusData Owner: NISRAContact: census@nisra.co.ukSource URL: https://build.nisra.gov.uk/Uploaded to SPACE Hub: 03/07/23Update Frequency: Per censusScale Threshold: some data has 10k threshold appliedProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonAbstractThe census collected information on the usually resident population of Northern Ireland on Census Day (21 March 2021).Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on Census Day.Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc.The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.Disclosure control methodsStatistical disclosure control (SDC) refers to a range of methods that aim to protect individuals, households, businesses, and their attributes from being identified in published information.NISRA has taken steps to ensure that the confidentiality of respondents is fully protected.All published results from the census have been subject to statistical processes to ensure that individuals cannot be identified. These processes may result in very marginal differences between tables for the same statistic.For Census 2021, NISRA is applying two strategies - targeted record swapping (TRS) and cell key perturbation (CKP), to ensure individuals are protected from identification while minimising the impact on the quality of results.Disclosure control methodologyFor more information, please refer to:Statistical disclosure control methodologyMethodologyThe census questionnaire including the questions asked and the administrative procedures involved in collecting the census data underwent substantial testing. Coding of the data was subject to quality checks.The quality of the results was improved by the use of edit and imputation procedures for missing or incorrect data, and the data were adjusted for over and under-enumeration.The outputs reflect the complete usually-resident population of Northern Ireland.Methodology overviewFurther information on the methodology used in Census 2021 is available in the:Census 2021 methodology overviewQuality issuesThe census results underwent an extensive quality assurance process, which included checks against administrative data sources and information on particular groups such as students and HM Forces personnel.Edit procedures were applied to obviously incorrect responses (such as someone aged 180) and were designed to correct the mistake by making the least possible change to the data.Imputation procedures were applied to missing data on a returned questionnaire, and drew on responses to the question from people with similar characteristics.Quality assurance reportFurther information on the quality assurance processes used in Census 2021 is available in the:Census 2021 quality assurance reportStatement about data qualityFor more information on data quality, including response rate and item response rate, please refer to the:Census 2021 statement about data qualityGeographic referencingIrish National GridNational Statistics publicationCensus statistics are produced by the Northern Ireland Statistics and Research Agency free from political influence and have been assessed as National Statistics by the Office for Statistics Regulation.Office for Statistics RegulationMore information is available on the following web site:Office for Statistics RegulationProducing census statisticsCensus 2021 statistics meet the highest standards of trust, quality and value and are produced using standards set out in the statutory Code of Practice for Statistics.Code of Practice for StatisticsMore information is available in the:Code of Practice for StatisticsDate of publicationJune 2023Further informationCensus 2021 results webpage

About this dataset

Context

The dataset tabulates the Dublin 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 Dublin town. The dataset can be utilized to understand the population distribution of Dublin town by age. For example, using this dataset, we can identify the largest age group in Dublin town.

Key observations

The largest age group in Dublin, New Hampshire was for the group of age 55 to 59 years years with a population of 210 (12.87%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Dublin, New Hampshire was the 85 years and over years with a population of 18 (1.10%). 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 Dublin town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Dublin 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 Dublin town Population by Age. You can refer the same here

Population by religion by Local Authorities. (Census 2022 Theme 2 Table 4 )Census 2022 table 2.4 is the total population by religion. Details include population by religion. Census 2022 theme 2 is Migration, Ethnicity, Religion and Foreign Languages. The country is divided into 31 administrative counties/cities. Outside Dublin, there are 23 administrative counties and four cities: Cork, Limerick, Waterford and Galway. There are four local authority areas in Dublin: Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin. The Local Government Reform Act 2014 Section 9 provided for the amalgamation of the city and county councils in Limerick, Waterford, and North Tipperary and South Tipperary County Councils.Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. This dataset is provided by Tailte Éireann, Administrative Counties 2019

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 2.2, the population usually resident in Ireland by ethnic or cultural background. Attributes include population breakdown by ethnicity or cultural background (e.g. Asian or Asian Irish, White Irish). Census 2016 theme 2 represents Migration, Ethnicity and Religion. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

Counties Ireland 1911: 34 counties which includes thirty two counties and two urban areas of Belfast and Dublin.This boundary has been generated by aggregation and dissolving boundaries based on common value of County code. Slivers and gaps removed in this processing.The boundaries established for these areas were created from scanned maps and some boundaries were provided from other organizations who previously worked on this. Areas stated on the census tables were used to quality check the areas of each DED. There is no singular and accurate source for mapping representation available - this map is a best effort and indicative of location only.A special thanks to the open source OpenStreetMap (OSM) for providing data for Northern Ireland, and also to Mike Murphy at UCC who provided a map of Ireland at DED level that we could use to reference boundaries.Taillte Éireann provided 1911 boundary maps to the CSO with the following disclaimer: "This cartographic data is a digital representation of the 1911 ED and Poor Law Union datasets. It is for display purposes only and legal boundaries past or present cannot and should not be inferred from this map."OpenStreetMap shapefiles were provided in accordance with their copyright requirements.Scanned copies of Census 1911 Original Reports : Area, houses and population are available here Implements CSO classificationsC04131V04897 - Census 1911 County Classification number

Population aged 3 years and over by ability to speak Irish by Local Authorities. (Census 2022 Theme 3 Table 1 )Census 2022 table 3.1 is population aged 3+ by ability to speak Irish. Details include population counts by ability to speak Irish. Census 2022 theme 3 is Irish Language. The country is divided into 31 administrative counties/cities. Outside Dublin, there are 23 administrative counties and four cities: Cork, Limerick, Waterford and Galway. There are four local authority areas in Dublin: Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin. The Local Government Reform Act 2014 Section 9 provided for the amalgamation of the city and county councils in Limerick, Waterford, and North Tipperary and South Tipperary County Councils.Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. This dataset is provided by Tailte Éireann, Administrative Counties 2019

Please be advised that there are issues with the Small Area boundary dataset generalised to 20m which affect Small Area 268014010 in Ballygall D, Dublin City. The Small Area boundary dataset generalised to 20m is in the process of being revised and the updated datasets will be available as soon as the boundaries are amended. This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Small Areas national boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 9.1, population aged 15+ by sex and social class. Attributes include population breakdown by social class and sex (e.g. skilled manual - males, non-manual - females). Census 2016 theme 9 represents Social Class and Socio-Economic Group. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. The Small Area Boundaries were created with the following credentials. National boundary dataset. Consistent sub-divisions of an ED. Created not to cross some natural features. Defined area with a minimum number of GeoDirectory building address points. Defined area initially created with minimum of 65 – approx. average of around 90 residential address points. Generated using two bespoke algorithms which incorporated the ED and Townland boundaries, ortho-photography, large scale vector data and GeoDirectory data. Before the 2011 census they were split in relation to motorways and dual carriageways. After the census some boundaries were merged and other divided to maintain privacy of the residential area occupants. They are available as generalised and non generalised boundary sets.

Please be advised that there are issues with the Small Area boundary dataset generalised to 20m which affect Small Area 268014010 in Ballygall D, Dublin City. The Small Area boundary dataset generalised to 20m is in the process of being revised and the updated datasets will be available as soon as the boundaries are amended. This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Small Areas national boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 3.1, population aged 3+ by ability to speak Irish. Attributes include population breakdown by ability to speak Irish (e.g. yes, no, not stated). Census 2016 theme 3 represents Irish Language. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. The Small Area Boundaries were created with the following credentials. National boundary dataset. Consistent sub-divisions of an ED. Created not to cross some natural features. Defined area with a minimum number of GeoDirectory building address points. Defined area initially created with minimum of 65 – approx. average of around 90 residential address points. Generated using two bespoke algorithms which incorporated the ED and Townland boundaries, ortho-photography, large scale vector data and GeoDirectory data. Before the 2011 census they were split in relation to motorways and dual carriageways. After the census some boundaries were merged and other divided to maintain privacy of the residential area occupants. They are available as generalised and non generalised boundary sets.

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• Dublin, CA Age Group Population Dataset: A complete breakdown of Dublin age demographics from 0 to 85 years, distributed across 18 age groups
• Dublin, CA Age Cohorts Dataset: Children, Working Adults, and Seniors in Dublin - Population and Percentage Analysis
• Dublin, CA 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/.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Dublin, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 50,419, while the mean income for the highest quintile (20% of households with the highest income) is 516,067. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 796,620, which is 154.36% higher compared to the highest quintile, and 1580% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Dublin median household income. You can refer the same here

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 12.3, population by general health. Attributes include a breakdown of population by health status and sex (e.g. very good - males, fair - females, very bad - total). Census 2016 theme 12 represents Disability, Carers and General Health. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO.In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

Irish speakers aged 3 years and over by frequency of speaking Irish by Local Authorities. (Census 2022 Theme 3 Table 2 )Census 2022 table 3.2 is Irish speakers aged 3+ by frequency of speaking Irish. Details include population by frequency of speaking Irish and sex. Census 2022 theme 3 is Irish Language. The country is divided into 31 administrative counties/cities. Outside Dublin, there are 23 administrative counties and four cities: Cork, Limerick, Waterford and Galway. There are four local authority areas in Dublin: Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin. The Local Government Reform Act 2014 Section 9 provided for the amalgamation of the city and county councils in Limerick, Waterford, and North Tipperary and South Tipperary County Councils.Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. This dataset is provided by Tailte Éireann, Administrative Counties 2019

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 3.1, population aged 3+ by ability to speak Irish. Attributes include population breakdown by ability to speak Irish (e.g. yes, no, not stated). Census 2016 theme 3 represents Irish Language. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 9.1, population aged 15+ by sex and social class. Attributes include population breakdown by social class and sex (e.g. skilled manual - males, non-manual - females). Census 2016 theme 9 represents Social Class and Socio-Economic Group. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 9.2, persons in private households by socio-economic group of reference person. Attributes include breakdown of households by socio-economic group of reference person, number of households and number of persons (e.g. E Manual skilled (No. of households), B Higher professional (No. of persons)). Census 2016 theme 9 represents Social Class and Socio-Economic Group. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO.In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 3.2, Irish speakers aged 3+ by frequency of speaking Irish. Attributes include population breakdown by frequency of speaking Irish and sex (e.g. daily within education system - males, weekly only outside the education system - females). Census 2016 theme 3 represents Irish Language. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO.In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 6.2, permanent private households by year built. Attributes include a breakdown of private households by year built, number of households and number of persons (e.g. 1981 - 1990 (No. of households), 1991 - 2000 (No. of persons)). Census 2016 theme 6 represents Housing. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 10.3, population aged 15+ by field of study. Attributes include a breakdown of population by field of study and sex (e.g. art - males, agriculture and veterinary - females). Census 2016 theme 10 represents Education. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.