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[this is a data cube dataset] A data cube dataset in folder: Societal Wellbeing

Modelled subjective wellbeing, 'Life Satisfaction', average rating

Average (mean) rating for 'Life Satisfaction' by LSOA in the First ONS Annual Experimental Subjective Wellbeing survey, April 2011 - March 2012

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About the Dataset
Contact
Publisher
Department for Communities and Local Government
Creator
Not supplied
In folder
License
Issued
30/09/2012
Modified
30/09/2012
Next update due
Not supplied
Description

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.

URI

This is a linked data resource: it has a permanent unique uri at which both humans and machines can find it on the Internet, and which can be used an identifier in queries on our SPARQL endpoint.

http://opendatacommunities.org/data/wellbeing-lsoa-life-satisfaction-mean
Graphs

Linked Data is stored in graphs. We keep dataset contents (the data) separately from the metadata, to make it easier for you to find exactly what you need.

The data in this dataset are stored in the graph: http://opendatacommunities.org/graph/wellbeing-lsoa-life-satisfaction-mean

The data structure definition for this data cube dataset is stored in the same graph as the data: http://opendatacommunities.org/graph/wellbeing-lsoa-life-satisfaction-mean

All other metadata about this dataset are stored in the graph: http://opendatacommunities.org/graph/wellbeing-lsoa-life-satisfaction-mean/metadata

Linked Data Resources

A breakdown by type of the 32,488 resources in this dataset's data graph.

Resource type Number of resources
Component specification 4
Data set 1
Data structure definition 1
Observation 32,482
All metadata
In Graph http://opendatacommunities.org/graph/wellbeing-lsoa-life-satisfaction-mean/metadata
Comment rdfs:comment http://www.w3.org/2000/01/rdf-schema#comment
Average (mean) rating for 'Life Satisfaction' by LSOA in the First ONS Annual Experimental Subjective Wellbeing survey, April 2011 - March 2012 xsd:string
Date Issued dcterms:issued http://purl.org/dc/terms/issued
September 30, 2012 15:03 xsd:dateTime
Date Modified dcterms:modified http://purl.org/dc/terms/modified
September 30, 2012 15:07 xsd:dateTime
Description dcterms:description http://purl.org/dc/terms/description
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](mailto: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](http://www.ons.gov.uk/ons/rel/wellbeing/measuring-subjective-wellbeing-in-the-uk/first-annual-ons-experimental-subjective-well-being-results/first-ons-annual-experimental-subjective-well-being-results.html). [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](http://www.caci.co.uk/acorn-classification.aspx). 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. xsd:string
http://publishmydata.com/def/dataset#contactEmail http://publishmydata.com/def/dataset#contactEmail
mailto:wellbeing@communities.gsi.gov.uk
http://publishmydata.com/def/dataset#graph http://publishmydata.com/def/dataset#graph
http://opendatacommunities.org/graph/wellbeing-lsoa-life-satisfaction-mean
http://publishmydata.com/def/ontology/folder/inFolder http://publishmydata.com/def/ontology/folder/inFolder
Societal Wellbeing http://opendatacommunities.org/def/concept/folders/themes/societal-wellbeing
http://rdfs.org/ns/void#sparqlEndpoint void:sparqlEndpoint http://rdfs.org/ns/void#sparqlEndpoint
http://opendatacommunities.org/sparql
http://www.w3.org/ns/dcat#theme dcat:theme http://www.w3.org/ns/dcat#theme
Societal Wellbeing http://opendatacommunities.org/def/concept/themes/societal-wellbeing
Label rdfs:label http://www.w3.org/2000/01/rdf-schema#label
Modelled subjective wellbeing, 'Life Satisfaction', average rating xsd:string
License dcterms:license http://purl.org/dc/terms/license
http://www.nationalarchives.gov.uk/doc/open-government-licence/
Publisher dcterms:publisher http://purl.org/dc/terms/publisher
Department for Communities and Local Government http://reference.data.gov.uk/id/department/dclg
References dcterms:references http://purl.org/dc/terms/references
http://docs.publishmydata.com
Subject dcterms:subject http://purl.org/dc/terms/subject
Societal Wellbeing http://opendatacommunities.org/def/concept/themes/societal-wellbeing
Title dcterms:title http://purl.org/dc/terms/title
Modelled subjective wellbeing, 'Life Satisfaction', average rating xsd:string
Type rdf:type http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://publishmydata.com/def/dataset#Dataset
http://publishmydata.com/def/dataset#DeprecatedDataset
http://rdfs.org/ns/void#Dataset
http://www.w3.org/ns/dcat#Dataset
In Graph http://opendatacommunities.org/graph/wellbeing-lsoa-life-satisfaction-mean
Structure qb:structure http://purl.org/linked-data/cube#structure
http://opendatacommunities.org/def/structure/wellbeing-lsoa-life-satisfaction-mean http://opendatacommunities.org/def/structure/wellbeing-lsoa-life-satisfaction-mean
Type rdf:type http://www.w3.org/1999/02/22-rdf-syntax-ns#type
Data set http://purl.org/linked-data/cube#DataSet
Machine-readable formats

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