Abstract copyright UK Data Service and data collection copyright owner. The Acorn geodemographic classification is a long-running classification developed by CACI Limited. Acorn operates by merging geography with demographics and details about consumer characteristics and behaviours. Supported by advanced AI methods, comprehensive input data, and detailed product literature, Acorn provides precise information and enables an in-depth understanding of the different types of consumers in every part of the country. The current classification groups the entire United Kingdom population into 7 categories, 22 groups and 65 types. The data is available at unit postcode level. Further information may be found on the CACI ACORN microsite.Use of the data requires approval from the data owner or their nominee and is restricted to those based at a Higher Education or Further Education institution. Please see the Data Access section for further information. For the second edition (October 2024) data and documentation files for 2024 have been added to the study. Main Topics:

Abstract copyright UK Data Service and data collection copyright owner. The Acorn geodemographic classification is a long-running classification developed by CACI Limited. Whilst it is refreshed with new data every year the structure does not change outside of the decennial rebuild. The current classification groups the entire United Kingdom population into six categories, 18 groups and 62 types. By analysing significant social factors and consumer behaviour, it provides precise information and enables an in-depth understanding of the different types of consumers in every part of the country. These data are available at unit postcode level. Further information may be found on the CACI ACORN website.Please note the data are temporarily unavailable to download. Main Topics:

NOTE: Please choose the download option to access the profiles A collection of ward socio-economic profiles created using the resident/customer classification tool Acorn. These profiles are created using Cheshire East addresses from the National Address Gazetteer, then categorised at postcode. The postcode is based on the predominant classification of the households in a particular postcode. For more information, including information about the sources of data, please visit the data providers website.

Percentage of pupils achieving level 5 or above in Key Stage 3 tests by ACORN category of pupil residency Source: Department for Education and Skills (DfES) Publisher: Department for Children Schools and Families (DCSF) Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: England Time coverage: 2006 Type of data: Administrative data Notes: Acorn category based on pupil postcode

Understanding Society (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. This dataset contains Wellbeing Acorn geodemographic segmentation codes (group and type) for each household in every wave of Understanding Society, together with a household identification number (hidp) allowing it to be linked to the main Understanding Society data files. The dataset is produced by matching the Wellbeing Acorn segmentation against every Understanding Society household at the postcode level. The Wellbeing Acorn segmentation system itself is developed and maintained by CACI Ltd and is designed by analysing demographic data, social factors, health and wellbeing characteristics in order to provide an understanding of the population’s wellbeing across the country. Group is the higher layer containing 5 segments providing a snapshot of the population from the least healthy to the healthiest. The more granular level is Type, containing 25 segments, to provide more detailed insights about the population to better understand their demographic, lifestyle and health characteristics. For details on the Acorn segmentation structure and how is it is produced please refer to the documentation and the Caci website. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access data' tab for more information).

Percentage of pupils achieving level 5 or above in Key Stage 3 tests by ACORN category of pupil residency Source: Department for Education and Skills (DfES) Publisher: Department for Children Schools and Families (DCSF) Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: England Time coverage: 2006 Type of data: Administrative data Notes: Acorn category based on pupil postcode

Understanding Society (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

This dataset contains Wellbeing Acorn geodemographic segmentation codes (group and type) for each household in every wave of Understanding Society, together with a household identification number (hidp) allowing it to be linked to the main Understanding Society data files. The dataset is produced by matching the Wellbeing Acorn segmentation against every Understanding Society household at the postcode level.

The Wellbeing Acorn segmentation system itself is developed and maintained by CACI Ltd and is designed by analysing demographic data, social factors, health and wellbeing characteristics in order to provide an understanding of the population’s wellbeing across the country. Group is the higher layer containing 5 segments providing a snapshot of the population from the least healthy to the healthiest. The more granular level is Type, containing 25 segments, to provide more detailed insights about the population to better understand their demographic, lifestyle and health characteristics. For details on the Acorn segmentation structure and how is it is produced please refer to the documentation and the Caci website.

These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access data' tab for more information).

Percentage of responses in the range 0-6 for 'Happy Yesterday' by LSOA in the First ONS Annual Experimental Subjective Wellbeing survey, April 2011 - March 2012

The Department for Communities and Local Government (DCLG) has estimated the expected wellbeing of residents at Lower-layer Super Output Area (LSOA) level. The purpose is to illustrate the likely degree of variation between neighbourhoods.

These are modelled estimates for local areas based on national findings from the ONS Annual Population Survey 2011-2012. They are not the actual survey responses of people living in those areas [1]. As such, DCLG encourage local areas to test these expected findings against their own local knowledge and data.

DCLG used CACI’s ACORN geo-demographic segmentation to estimate the likely wellbeing characteristics of each neighbourhood. Analysis of the APS provided a national profile of wellbeing by ACORN Type, with estimates of average subjective wellbeing and low subjective wellbeing for each of the 56 Types. The national profile was then applied to localities, to reflect their composition according to ACORN Type [2].

The method presumes the national profile of wellbeing for the ACORN types is broadly the same in each local authority. For all of the subjective wellbeing measures, DCLG tested this assumption broadly held across the nine regions. As a result, DCLG made a minimal number of adjustments to the profiles for life satisfaction, worthwhile, and happy yesterday, and determined that the method was not robust for modelling anxiety [3].

Feedback on the neighbourhood estimates and requests for further details of the methodology can sent to wellbeing@communities.gsi.gov.uk.

In October, DCLG will be producing wellbeing profiles to enable users to apply the same methodology using geo-demographic classifications: Experian’s MOSAIC and ONS’s Output Area Classification (OAC).

[1] This is because sample sizes from the APS do not permit reliable estimates of subjective wellbeing below the 90 unitary authorities and counties reported in the First ONS Annual Experimental Subjective Well-being Results.

[2] ACORN is a segmentation based on shared characteristics of people’s life-stage, income, profession and housing, as well as characteristics of places including whether they are urban, suburban or rural. Each respondent on the APS had been classified into one ACORN Type, based on the full postcode in which they live – approximately 16 addresses.) ACORN provided estimates of the population in each ACORN Type in each LSOA and local authority district.

[3] These adjustments were made only where there was reliable evidence (based on samples of more than 100 respondents) from APS that the national wellbeing ACORN profile was substantially different from the regional one, and where the implications for neighbourhood maps would be highly geographically clustered.

Abstract copyright UK Data Service and data collection copyright owner.Understanding Society (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. This dataset contains Acorn geodemographic segmentation codes for each household in every wave of Understanding Society and harmonised BHPS, together with a household identification number (hidp) allowing it to be linked to the main Understanding Society data files. The dataset is produced by matching the Acorn segmentation against every Understanding Society household at the postcode level. The Acorn segmentation system itself is developed and maintained by CACI Ltd and is designed to identify characteristics of each postcode according to a hierarchical structure of 7 categories, 22 groups and 64 types. For details on the Acorn segmentation structure and how it is produced please refer to the documentation and the CACI website. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access' section). Latest Edition Information For the 13th edition (November 2023), data for Wave 13 have been added.

Percentage of responses in the range 0-6 for 'Life Satisfaction' by LSOA in the First ONS Annual Experimental Subjective Wellbeing survey, April 2011 - March 2012

The Department for Communities and Local Government (DCLG) has estimated the expected wellbeing of residents at Lower-layer Super Output Area (LSOA) level. The purpose is to illustrate the likely degree of variation between neighbourhoods.

These are modelled estimates for local areas based on national findings from the ONS Annual Population Survey 2011-2012. They are not the actual survey responses of people living in those areas [1]. As such, DCLG encourage local areas to test these expected findings against their own local knowledge and data.

DCLG used CACI’s ACORN geo-demographic segmentation to estimate the likely wellbeing characteristics of each neighbourhood. Analysis of the APS provided a national profile of wellbeing by ACORN Type, with estimates of average subjective wellbeing and low subjective wellbeing for each of the 56 Types. The national profile was then applied to localities, to reflect their composition according to ACORN Type [2].

The method presumes the national profile of wellbeing for the ACORN types is broadly the same in each local authority. For all of the subjective wellbeing measures, DCLG tested this assumption broadly held across the nine regions. As a result, DCLG made a minimal number of adjustments to the profiles for life satisfaction, worthwhile, and happy yesterday, and determined that the method was not robust for modelling anxiety [3].

Feedback on the neighbourhood estimates and requests for further details of the methodology can sent to wellbeing@communities.gsi.gov.uk.

In October, DCLG will be producing wellbeing profiles to enable users to apply the same methodology using geo-demographic classifications: Experian’s MOSAIC and ONS’s Output Area Classification (OAC).

[1] This is because sample sizes from the APS do not permit reliable estimates of subjective wellbeing below the 90 unitary authorities and counties reported in the First ONS Annual Experimental Subjective Well-being Results.

[2] ACORN is a segmentation based on shared characteristics of people’s life-stage, income, profession and housing, as well as characteristics of places including whether they are urban, suburban or rural. Each respondent on the APS had been classified into one ACORN Type, based on the full postcode in which they live – approximately 16 addresses.) ACORN provided estimates of the population in each ACORN Type in each LSOA and local authority district.

[3] These adjustments were made only where there was reliable evidence (based on samples of more than 100 respondents) from APS that the national wellbeing ACORN profile was substantially different from the regional one, and where the implications for neighbourhood maps would be highly geographically clustered.

The DSS Payment Demographic data set is made up of:\r \r Selected DSS payment data by \r \r * Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)\r \r * Demographic: age, sex and Indigenous/non-Indigenous \r \r * Duration on Payment (Working Age & Pensions)\r \r * Duration on Income Support (Working Age, Carer payment & Disability Support Pension)\r \r * Rate (Working Age & Pensions)\r \r * Earnings (Working Age & Pensions)\r \r * Age Pension assets data \r \r * JobSeeker Payment and Youth Allowance (other) Principal Carers\r \r * Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)\r \r * Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)\r \r * Disability Support Pension by medical condition\r \r * Care Receiver by medical conditions\r \r * Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.\r \r From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment.\r The expanded report will replace the standard report after June 2023.\r \r Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:\r \r • A new contents page to assist users locate the information within the spreadsheet\r \r • Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.\r \r • Additional information on the Employment Earning by ‘Income Free Area’ tab.\r \r \r From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. \r To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change.\r The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.\r \r \r Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.\r \r Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.\r \r SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023. \r \r From December 2021, the following are included in the report:\r \r * selected payments by work capacity, by various demographic breakdowns\r \r * rental type and homeownership\r \r * Family Tax Benefit recipients and children by payment type\r \r * Commonwealth Rent Assistance by proportion eligible for the maximum rate\r \r * an age breakdown for Age Pension recipients\r \r For further information, please see the Glossary.\r \r From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information. \r \r From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.\r \r From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:\r \r * Statistical Area 2 - SA2\r \r * Commonwealth Electoral Division - CED\r \r * Local Government Area - LGA\r \r Pre June 2014 Quarter Data contains:\r \r Selected DSS payment data by \r \r * Geography: state/territory; electorate; postcode and LGA\r \r * Demographic: age, sex and Indigenous/non-Indigenous \r \r Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment\r \r For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. \r Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below: \r \r * Statistical Paper series\r \r Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.\r \r 28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.