{"id":98087,"name":"Disposable Gini","unit":"","description":"Gini coefficients calculated on disposable income basis. (various years, 1992-2013)","createdAt":"2018-09-20T21:12:21.000Z","updatedAt":"2023-06-15T05:05:42.000Z","coverage":"","timespan":"","datasetId":2968,"columnOrder":0,"dataPath":"https://api.ourworldindata.org/v1/indicators/98087.data.json","metadataPath":"https://api.ourworldindata.org/v1/indicators/98087.metadata.json","datasetName":"TE-5.16","type":"float","nonRedistributable":false,"display":{},"source":{"id":15686,"name":"  Wang and Caminada (2011);  Solt (2016)","dataPublishedBy":"Wang and Caminada (2011), Disentangling Income Inequality and the Redistributive Effect of Social Transfers and Taxes in 36 LIS Countries, LIS Working Paper Series No. 567; Solt, Frederick. 2016. “The Standardized World Income Inequality Database.” Social Science Quarterly 97. SWIID; LIS micro data","dataPublisherSource":"","link":"http://mpra.ub.uni-muenchen.de/32861/  https://fsolt.org/swiid/  www.lisdatacenter.org","retrievedDate":"","additionalInfo":"The dataset contains middle- and high-income countries from the LIS database according to Wang and Caminada (2011) plus a selection of middle income countries from Solt (2006).\n\nCalculations were conducted by Stefan Thewissen (University of Oxford) in April 2015 using LIS micro data (www.lisdatacenter.org)."},"dimensions":{"years":{"values":[{"id":2011},{"id":2013},{"id":2014},{"id":2015},{"id":2016},{"id":2017},{"id":2018},{"id":2019},{"id":2020}]},"entities":{"values":[{"id":253406,"name":"China (People's Republic of)","code":null},{"id":137,"name":"India","code":"IND"},{"id":37,"name":"Brazil","code":"BRA"},{"id":106,"name":"New Zealand","code":"NZL"},{"id":81,"name":"South Africa","code":"ZAF"},{"id":5,"name":"Netherlands","code":"NLD"},{"id":13,"name":"United States","code":"USA"},{"id":138,"name":"Hungary","code":"HUN"},{"id":12,"name":"Russia","code":"RUS"},{"id":161,"name":"Denmark","code":"DNK"},{"id":172,"name":"Chile","code":"CHL"},{"id":207,"name":"Iceland","code":"ISL"},{"id":7,"name":"Switzerland","code":"CHE"},{"id":92,"name":"Romania","code":"ROU"},{"id":156,"name":"Estonia","code":"EST"},{"id":155,"name":"Finland","code":"FIN"},{"id":149,"name":"Greece","code":"GRC"},{"id":210,"name":"Luxembourg","code":"LUX"},{"id":31416,"name":"Korea","code":null},{"id":133,"name":"Israel","code":"ISR"},{"id":31417,"name":"Slovak Republic","code":null},{"id":119,"name":"Lithuania","code":"LTU"},{"id":113,"name":"Mexico","code":"MEX"},{"id":253407,"name":"Czech Republic","code":null},{"id":14,"name":"Japan","code":"JPN"},{"id":2,"name":"Ireland","code":"IRL"},{"id":3,"name":"France","code":"FRA"},{"id":4,"name":"Belgium","code":"BEL"},{"id":6,"name":"Germany","code":"DEU"},{"id":8,"name":"Italy","code":"ITA"},{"id":9,"name":"Spain","code":"ESP"},{"id":11,"name":"Poland","code":"POL"},{"id":102,"name":"Norway","code":"NOR"},{"id":23,"name":"Australia","code":"AUS"},{"id":24,"name":"Austria","code":"AUT"},{"id":39,"name":"Bulgaria","code":"BGR"},{"id":70,"name":"Turkey","code":"TUR"},{"id":83,"name":"Slovenia","code":"SVN"},{"id":95,"name":"Portugal","code":"PRT"},{"id":10,"name":"Sweden","code":"SWE"},{"id":44,"name":"Canada","code":"CAN"},{"id":122,"name":"Latvia","code":"LVA"},{"id":1,"name":"United Kingdom","code":"GBR"},{"id":166,"name":"Costa Rica","code":"CRI"}]}}}