Product:
Swiss Neighbourhood Index of Socioeconomic Position (Swiss-SEP)

Simple item page
cris.virtual.author-orcid0000-0001-5141-683X
cris.virtual.author-orcid0000-0003-3505-348X
cris.virtual.author-orcid0000-0003-0653-9827
cris.virtual.author-orcid0000-0002-6772-6346
cris.virtual.author-orcid0000-0001-7462-5132
cris.virtual.departmentUniversity Sports
cris.virtual.departmentTeaching Staff, Faculty of Medicine
cris.virtual.departmentInstitut für Sozial- und Präventivmedizin (ISPM) - HIV, Hepatitis & Tubercolosis
cris.virtualsource.author-orcidfe07b182-3e5f-4dfd-8ae7-0e40159c1112
cris.virtualsource.author-orcidd240f0ab-112b-444f-a9ff-e132d3e7d474
cris.virtualsource.author-orcid7589721e-502c-47dc-92f8-3fba7af8d9c8
cris.virtualsource.author-orcid3360179c-9be9-473b-ac03-a22eb128643e
cris.virtualsource.author-orcida47a659b-5a23-43fa-86e3-f9401108114c
cris.virtualsource.departmentfe07b182-3e5f-4dfd-8ae7-0e40159c1112
cris.virtualsource.departmentd240f0ab-112b-444f-a9ff-e132d3e7d474
cris.virtualsource.department7589721e-502c-47dc-92f8-3fba7af8d9c8
cris.virtualsource.department3360179c-9be9-473b-ac03-a22eb128643e
cris.virtualsource.departmenta47a659b-5a23-43fa-86e3-f9401108114c
ctu.ageGroupadultsen
ctu.basecId153-2014en
ctu.countryOfOriginswissen
ctu.epidemiologicalTypecrosssectionen
ctu.firstYear2000en
ctu.inclusionCriteriaThe dataset of residential buildings consisted of 1,560,993 records. We excluded 20,405 (1.3%) non-residential buildings and two buildings without neighbours on the road network and combined 13,411 (0.9%) duplicate entries. The final dataset comprised 1,527,175 residential buildings and neighbourhoods. The dataset of the four micro censuses from 2012 to 2015 comprised 1,125,356 individuals. We excluded 167,726 (14.9%) individuals not linked to any eligible household or building, 56,367 (5.0%) children and adolescents below the age of 19 years and 2,597 (0.2%) people with temporary residence permits. Additionally, we excluded 6,539 (0.6%) duplicate records of individuals that participated in more than one micro census, retaining the latest record.en
ctu.languageenen
ctu.lastYear2015en
ctu.primaryDataSourcemultipleen
ctu.studyStatuscompleteen
ctu.studyTitleSwiss Census 2000, Structural Surveys 2012-2015, Federal Register of Buildings and Dwellingsen
ctu.typeOfDataaggregateen
datacite.rightsrestricted
dc.access.rightsrestricteden
dc.contributor.authorPanczak, Radoslawen
dc.contributor.authorBerlin, Claudiaen
dc.contributor.authorVoorpostel, Mariekeen
dc.contributor.authorZwahlen, Marcelen
dc.contributor.authorEgger, Matthiasen
dc.coverage.doihttps://doi.org/10.1136/jech-2011-200699en
dc.coverage.urnPMID: 22717282en
dc.date.accessioned2022-10-20T14:22:15Z
dc.date.available2022-10-20T14:22:15Z
dc.descriptionSwiss Neighbourhood Index of Socioeconomic Position (Swiss-SEP) is an area-based measure of socioeconomic position (SEP) for Switzerland. This is the third version of the index, based on the original work by Panczak et al. 2012 (DOI: 10.1136/jech-2011-200699). The index describes 1.54 million neighbourhoods of approximately 50 closest households and centred on residential buildings. Each building is located in space using geographical coordinates. Neighbourhoods are characterised by four domains: income (approximated by median rent per square metre), education (proportion of households with a person with primary education or less), employment (proportion of households with person working in unskilled occupations) and housing conditions ( crowding - the mean number of persons per room). Domains are combined using principal component analysis to form a score standardised to a range of 0 (lowest SEP) to 100 (highest SEP) and divided into quantiles. Three versions of index are available: 1 ('old', based on 2012 version, based on Census 2000), 2 ('new' version based on combined micro censuses 2012-2015) and 3 ('hybrid' combining version 1 and 2, updating values only for buildings constructed after 2000). Dataset is available free of charge for research purposes. Access to the dataset is possible after signing a contract with the Swiss National Cohort.en
dc.description.sponsorshipInstitute of Social and Preventive Medicineen
dc.description.sponsorshipSwiss Centre of Expertise in the Social Sciencesen
dc.identifier.doi10.48620/110
dc.identifier.urihttp://hdl.handle.net/20.500.12422/148
dc.language.isoenen
dc.relation.publicationPanczak, Radoslaw; Berlin, Claudia; Voorpostel, Marieke; Zwahlen, Marcel; Egger, Matthias (2023). The Swiss neighbourhood index of socioeconomic position: update and re-validation. Swiss medical weekly, 153(40028), p. 40028. EMH Media 10.57187/smw.2023.40028 <http://dx.doi.org/10.57187/smw.2023.40028>en
dc.relation.publicationA Swiss neighbourhood index of socioeconomic position: development and association with mortalityen
dc.subjectSwitzerlanden
dc.subjectsocioeconomic positionen
dc.subjectsocial inequalities in healthen
dc.subjectmortalityen
dc.subject.ddcDewey Decimal Classification::600 - Technology::610 - Medicine & healthen
dc.titleSwiss Neighbourhood Index of Socioeconomic Position (Swiss-SEP)en
dc.typeDataseten
dspace.entity.typeProduct
dspace.file.typeresearch data
oairecerif.author.affiliationInstitute of Social and Preventive Medicineen
oairecerif.author.affiliationInstitute of Social and Preventive Medicineen
oairecerif.author.affiliationSwiss Centre of Expertise in the Social Sciencesen
oairecerif.author.affiliationInstitute of Social and Preventive Medicineen
oairecerif.author.affiliationInstitute of Social and Preventive Medicineen
rd.checklist.consenttrue
rd.checklist.noPrivateUploadtrue
rd.relation.externaltypeisderivedfromen
unibe.contributor.orcid0000-0001-5141-683Xen
unibe.contributor.orcid0000-0003-3505-348Xen
unibe.contributor.orcid0000-0003-0653-9827en
unibe.contributor.orcid0000-0002-6772-6346en
unibe.contributor.orcid0000-0001-7462-5132en
unibe.contributor.primarycontactZwahlen, Marcelen
unibe.contributor.roleProjectLeaderen
unibe.contributor.roleDataCollectoren
unibe.contributor.roleDataCollectoren
unibe.contributor.roleSupervisoren
unibe.contributor.roleSupervisoren
unibe.primarycontact.affiliationInstitute of Social and Preventive Medicineen

Files

Original bundle
Now showing 1 - 1 of 1
Name:
ssep3_user_geo.csv
Size:
106.97 MB
Format:
Text file that uses a comma to separate values
Description:
File Type:
research data
Download

Collections

Research Data