id,name,unit,description,createdAt,updatedAt,code,coverage,timespan,datasetId,sourceId,shortUnit,display,columnOrder,originalMetadata,grapherConfigAdmin,shortName,catalogPath,dimensions,schemaVersion,processingLevel,processingLog,titlePublic,titleVariant,attributionShort,attribution,descriptionShort,descriptionFromProducer,descriptionKey,descriptionProcessing,licenses,license,grapherConfigETL,type,sort,dataChecksum,metadataChecksum 943788,"Richest decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:07,2024-07-25 22:56:13,,,1968-2022,6582,,$,"{""name"": ""Richest decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p100_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p100_mi_eq,,2,major,,,,,,The mean income per year within the richest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],c62a419ac3f3cdf003722935b05ef96d,905c092198ee3a73107cf92a5e8969fe 943787,"Richest decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:07,2024-07-25 22:56:13,,,1963-2022,6582,,$,"{""name"": ""Richest decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p100_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p100_dhi_eq,,2,major,,,,,,The mean income per year within the richest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],c38272ae2934698dc16da148b2b149a3,53ce99ba07f63d886650f0d24ebd44dd 943786,"Richest decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:13,,,1968-2022,6582,,$,"{""name"": ""Richest decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p100_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p100_mi_pc,,2,major,,,,,,The mean income per year within the richest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],5ee5bdce6ea018ab0d1af67899db9779,2bd731c9e65e695a400fa93d9e6e7de3 943785,"Richest decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:13,,,1963-2022,6582,,$,"{""name"": ""Richest decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p100_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p100_dhi_pc,,2,major,,,,,,The mean income per year within the richest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],3165dac3ea3e791b3a77f9e1574252b4,ebb51b9024e94a74aca237f66da9976f 943784,"Richest decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:13,,,1963-2022,6582,,$,"{""name"": ""Richest decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p100_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p100_dhci_pc,,2,major,,,,,,The mean income per year within the richest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],ddf203e3e97c3ceb931e3abb71d16d06,894d55b14d858e46302e64ee57f3e116 943783,"Richest decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:13,,,1963-2022,6582,,$,"{""name"": ""Richest decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p100_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p100_dhci_eq,,2,major,,,,,,The mean income per year within the richest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],02239ca3868fd9266925fadbe61e4002,6fed3b8bb40eccad9692228d79948940 943782,"9th decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""9th decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p90_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p90_dhi_eq,,2,major,,,,,,The mean income per year within the 9th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],493f5abb860bda35f5a78b759390f6c5,5cc902053a35aca3a152825586737cf0 943781,"9th decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""9th decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p90_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p90_mi_eq,,2,major,,,,,,The mean income per year within the 9th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],e3247e1942aec0f44f81e606b1f215de,fb711f3f7062c037a20d3fc9dc57d8a5 943780,"9th decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""9th decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p90_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p90_dhi_pc,,2,major,,,,,,The mean income per year within the 9th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],feea48c274fd3f4276f8c9404d383154,eabe78822c20453d8963cea28499487d 943779,"9th decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""9th decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p90_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p90_mi_pc,,2,major,,,,,,The mean income per year within the 9th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],cf07aafbf4caf79122d05bff9d799539,a03b62aa4ddffc4d99c0bd1c65a81bed 943778,"9th decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""9th decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p90_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p90_dhci_eq,,2,major,,,,,,The mean income per year within the 9th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],cd932b4de330566167f12cf97bdfefbf,cad013e6777a02508061a07a207fde5e 943777,"9th decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""9th decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p90_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p90_dhci_pc,,2,major,,,,,,The mean income per year within the 9th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],7cfcb52395866f568053094be70ff9fe,45a4f4a2affde064bf5d83371531e9f9 943776,"8th decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""8th decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p80_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p80_mi_eq,,2,major,,,,,,The mean income per year within the 8th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],e133ce67a20fbdcdbb4d41dfbbb37809,546687df10ba8a383443be4b7387676c 943775,"8th decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""8th decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p80_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p80_dhi_eq,,2,major,,,,,,The mean income per year within the 8th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],da60d1a77b48be19544a024360745aa3,ecd8a1c22face8e37235c09efdb304a2 943774,"8th decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""8th decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p80_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p80_dhi_pc,,2,major,,,,,,The mean income per year within the 8th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],fb972b6bd0ed66d3762811eb6c42a541,28c1e42bf6229c5ade7af1b27aff801a 943773,"8th decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""8th decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p80_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p80_mi_pc,,2,major,,,,,,The mean income per year within the 8th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],5bec3c0fad58b70f68110a5f705a259b,c929d418071e51fc706d3b3ca071a2e9 943772,"8th decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""8th decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p80_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p80_dhci_eq,,2,major,,,,,,The mean income per year within the 8th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],8d572baa4167ad81d09ecd64263515c8,49544b0003ede97741d6776add745fcf 943771,"8th decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:06,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""8th decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p80_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p80_dhci_pc,,2,major,,,,,,The mean income per year within the 8th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],a918804d1d808341e420645195375732,98ec59a02f7a3109f4db9e1788616ec7 943770,"7th decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""7th decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p70_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p70_dhi_eq,,2,major,,,,,,The mean income per year within the 7th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],1b5d76a15ccc6b65fb70a1ae35302dff,9e9cad94a07cab4abba5777bb3aadef0 943769,"7th decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""7th decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p70_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p70_mi_eq,,2,major,,,,,,The mean income per year within the 7th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],750ff7a6d2a89f64b8962c595c17a8e3,f68e331d162c716584b28ea07cee001e 943768,"7th decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""7th decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p70_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p70_dhci_eq,,2,major,,,,,,The mean income per year within the 7th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],bdc0542a5bc70923be844708e6e922d6,2f3542a0c024ac3501c6514fae0d7b9c 943767,"7th decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""7th decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p70_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p70_mi_pc,,2,major,,,,,,The mean income per year within the 7th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],49e1f517b44113887caadf878dfb7705,622cc8feeccf2336b068808c1a5e740b 943766,"7th decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""7th decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p70_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p70_dhi_pc,,2,major,,,,,,The mean income per year within the 7th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],71ef2becfe5045f29035b9990ff9fc6d,dbfbdd723aa3461f17b8cf557bef5818 943765,"7th decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""7th decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p70_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p70_dhci_pc,,2,major,,,,,,The mean income per year within the 7th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],b28dd3b4723bae3726cb0347d7fb23f4,1e8ac4e835171b8d28180f6572eddf29 943764,"6th decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""6th decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p60_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p60_dhi_pc,,2,major,,,,,,The mean income per year within the 6th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],e1519ffb1f9b755c384b2c3cf3984156,0a3a4b37ae51d6009d79093ebefe97fb 943763,"6th decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""6th decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p60_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p60_dhi_eq,,2,major,,,,,,The mean income per year within the 6th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],f0199d79de4aedac9462675de5b091f9,0dfa8e9fbe5492d2540281213254d109 943762,"6th decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""6th decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p60_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p60_mi_eq,,2,major,,,,,,The mean income per year within the 6th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],16570b62b73cd2e85ca091aa0db9baf3,9b5cc67a7fac992e34f2bfe85c5b1936 943761,"6th decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""6th decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p60_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p60_dhci_eq,,2,major,,,,,,The mean income per year within the 6th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],6db2da531c3f54f0db91864caa1a4f79,1240b822608094133824518c1078b358 943760,"6th decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1968-2022,6582,,$,"{""name"": ""6th decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p60_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p60_mi_pc,,2,major,,,,,,The mean income per year within the 6th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],f8b0d2d66902d002f364c8560aa7bc5c,fa1e9fbdbf6d512d8eea12b3827c935d 943759,"6th decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:12,,,1963-2022,6582,,$,"{""name"": ""6th decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p60_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p60_dhci_pc,,2,major,,,,,,The mean income per year within the 6th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],6b29bbd33262d32bf222dcb4226c4928,b2d3c1bebf9753b7758a586538c8a1be 943758,"5th decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""5th decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p50_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p50_mi_eq,,2,major,,,,,,The mean income per year within the 5th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],d35664e97fceb622af3617969e7a40d7,97fab1c0a79e278bf5eb918eb24e6b46 943757,"5th decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""5th decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p50_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p50_mi_pc,,2,major,,,,,,The mean income per year within the 5th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],06802f71e51742d8ce4e9af7fd4266ce,041727e8226dadaa1237717898da0856 943756,"5th decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""5th decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p50_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p50_dhi_eq,,2,major,,,,,,The mean income per year within the 5th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],b2054d33347769117758c267df2be212,956c67099d4cd2adff6c827864d6ccb4 943755,"5th decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:05,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""5th decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p50_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p50_dhi_pc,,2,major,,,,,,The mean income per year within the 5th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],caf75886d2e0fb834eca9d164d616e75,ad20112239d9b6657158c434a85a98ed 943754,"5th decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""5th decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p50_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p50_dhci_eq,,2,major,,,,,,The mean income per year within the 5th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],9e0f0e9754a1173cf17f41a22351ae3d,3aa39dcb99c61ba244552c31f5376aeb 943753,"5th decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""5th decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p50_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p50_dhci_pc,,2,major,,,,,,The mean income per year within the 5th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],d38cd9a0ce424d6502b307ebec4601f1,b26852622bc252e8d5e431ed8895e4c1 943752,"4th decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""4th decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p40_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p40_dhi_eq,,2,major,,,,,,The mean income per year within the 4th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],78ffd4adce99c245990aef1481913c01,48841e2aee070733c504d318a285ef1b 943751,"4th decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""4th decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p40_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p40_mi_pc,,2,major,,,,,,The mean income per year within the 4th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],925d8062e73e0a1f3975f58c31aa14ae,e7a793e999be6022bc834bc6f21939db 943750,"4th decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""4th decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p40_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p40_mi_eq,,2,major,,,,,,The mean income per year within the 4th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],ce26e3f341ef1c4a79f6e1680b0c2553,455d7bfe0e095b23a978f0ff0b8aa8b6 943749,"4th decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""4th decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p40_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p40_dhi_pc,,2,major,,,,,,The mean income per year within the 4th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],14bdeaeda8e75a9febd87cc9396dc0d7,41509931ff8cf810145782eed75a720b 943748,"4th decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""4th decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p40_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p40_dhci_eq,,2,major,,,,,,The mean income per year within the 4th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],c37097e4937bd1cf9ab7fed5250ae8ec,7d398c4be76d0133014eb8dbc1706d53 943747,"4th decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""4th decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p40_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p40_dhci_pc,,2,major,,,,,,The mean income per year within the 4th decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],5db11cd83f141e91e20b9898ae8e3d95,31f93a59080f96d5642a2120ff5c6881 943746,"3rd decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""3rd decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p30_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p30_dhi_pc,,2,major,,,,,,The mean income per year within the 3rd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],d4d12c7db972bc7093bcbc91ae70f3d5,3c87bd8b32d78c7db5f55e0d03938963 943745,"3rd decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""3rd decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p30_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p30_dhi_eq,,2,major,,,,,,The mean income per year within the 3rd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],0399e55a9eb19ee840c8802fbd2d4891,0e67f08e8bf8ed326cbe73a92e225f1a 943744,"3rd decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""3rd decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p30_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p30_mi_eq,,2,major,,,,,,The mean income per year within the 3rd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],c4c874cb4b537909dcf635902bfb673e,4bb9b42b03e021d16aae8d3ae58635aa 943743,"3rd decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""3rd decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p30_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p30_mi_pc,,2,major,,,,,,The mean income per year within the 3rd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],63dfa7bbe1251b0ad30df7cb54e24f50,f6c0c939663d6fce8eb53d351b300483 943742,"3rd decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""3rd decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p30_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p30_dhci_pc,,2,major,,,,,,The mean income per year within the 3rd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],59d49f73f5caef8cdd77033c9b3ae0c5,62f750cf3af4423bc566f6f038f24758 943741,"3rd decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""3rd decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p30_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p30_dhci_eq,,2,major,,,,,,The mean income per year within the 3rd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],6aa479b0da123347325489c22e758da5,5604a2f7c346af70656ccf3d73655e60 943740,"2nd decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:04,2024-07-25 22:56:11,,,1968-2022,6582,,$,"{""name"": ""2nd decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p20_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p20_mi_eq,,2,major,,,,,,The mean income per year within the 2nd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],ae3bc7d45225224b6085a4b995fabefd,345c0dc48f4612e57240f2ca15ea9e6d 943739,"2nd decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""2nd decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p20_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p20_dhi_pc,,2,major,,,,,,The mean income per year within the 2nd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],8fc0de225a7f4b73221bd8ef91fad858,2007970f773e00dfa4dbb8aa0039c121 943738,"2nd decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:11,,,1963-2022,6582,,$,"{""name"": ""2nd decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p20_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p20_dhi_eq,,2,major,,,,,,The mean income per year within the 2nd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],f904248f6e0104730c0a07b88f2cb0c6,722b29e567fc293cbbb082e88fe81ec0 943737,"2nd decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,$,"{""name"": ""2nd decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p20_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p20_dhci_eq,,2,major,,,,,,The mean income per year within the 2nd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],80ae2e0dd698ff65bd434a6cbad6eb01,8adfd05f117b61fc706c575b8efa3bb3 943736,"2nd decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1968-2022,6582,,$,"{""name"": ""2nd decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p20_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p20_mi_pc,,2,major,,,,,,The mean income per year within the 2nd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],c34f1a0a7fcc6e2a68a4e7b6e8bfd650,f05fce3c75b13773faffc0f46655ce9c 943735,"2nd decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,$,"{""name"": ""2nd decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p20_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p20_dhci_pc,,2,major,,,,,,The mean income per year within the 2nd decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],4d770f4331d2e61b9a3e45c35931acfe,6d47e09db05b859af35f62c78ceb42d3 943734,"Poorest decile - Average (Disposable household income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,$,"{""name"": ""Poorest decile - Average (Disposable household income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p10_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p10_dhi_eq,,2,major,,,,,,The mean income per year within the poorest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],2de9191e88b861b7948ba316a2f4bdff,b092b2c9fa47822017d833853a1a66eb 943733,"Poorest decile - Average (Market income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1968-2022,6582,,$,"{""name"": ""Poorest decile - Average (Market income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p10_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p10_mi_eq,,2,major,,,,,,The mean income per year within the poorest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],027aaf4c8548b86bd560b77befb0ee1d,03825d6502f123d8e250d451b8370681 943732,"Poorest decile - Average (Market income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1968-2022,6582,,$,"{""name"": ""Poorest decile - Average (Market income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p10_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p10_mi_pc,,2,major,,,,,,The mean income per year within the poorest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],a8353bcc38363e01a21899840571b4ca,9cff0be794e594b02662475c8c1228ce 943731,"Poorest decile - Average (Disposable household cash income, equivalized)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,$,"{""name"": ""Poorest decile - Average (Disposable household cash income, equivalized)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p10_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p10_dhci_eq,,2,major,,,,,,The mean income per year within the poorest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],c8c8f40d7d6780b73d0a229743062ee0,1ed69a06535bb43488633c8c45d8d238 943730,"Poorest decile - Average (Disposable household income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,$,"{""name"": ""Poorest decile - Average (Disposable household income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p10_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p10_dhi_pc,,2,major,,,,,,The mean income per year within the poorest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],0857027851c0c50534edbf969d1e8edd,dfaf56068e199299a79d13ba8ce0696c 943729,"Share of the middle 40% (Disposable household cash income, equivalized)",%,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the middle 40% (Disposable household cash income, equivalized)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_middle40_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_middle40_dhci_eq,,2,major,,,,,,The share of income received by the middle 40%. The middle 40% is the share of the population whose income lies between the poorest 50% and the richest 10%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],56b13f865d31a089b24e720be43e8876,ab5a64fec3508dc0078e6172fd02df8d 943728,"Poorest decile - Average (Disposable household cash income, per capita)",international-$ in 2017 prices,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,$,"{""name"": ""Poorest decile - Average (Disposable household cash income, per capita)"", ""unit"": ""international-$ in 2017 prices"", ""shortUnit"": ""$"", ""tolerance"": 5, ""numDecimalPlaces"": 0}",0,,,avg_p10_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#avg_p10_dhci_pc,,2,major,,,,,,The mean income per year within the poorest decile (tenth of the population).,,"[""The data is measured in international-$ at 2017 prices – this adjusts for inflation and for differences in the cost of living between countries."", ""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. Income shares and thresholds by decile are obtained by using [Stata’s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",,,,float,[],a241fdc2c833ab57e42c7313dd0373e7,4b1bec77cf08cac0561902232c6814ab 943727,"Share of the middle 40% (Disposable household income, per capita)",%,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the middle 40% (Disposable household income, per capita)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_middle40_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_middle40_dhi_pc,,2,major,,,,,,The share of income received by the middle 40%. The middle 40% is the share of the population whose income lies between the poorest 50% and the richest 10%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],b6786204d1334007722411f7837ad285,0d4410d399818018f9affd0d963cb64e 943726,"Share of the middle 40% (Disposable household income, equivalized)",%,,2024-06-25 14:17:03,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the middle 40% (Disposable household income, equivalized)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_middle40_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_middle40_dhi_eq,,2,major,,,,,,The share of income received by the middle 40%. The middle 40% is the share of the population whose income lies between the poorest 50% and the richest 10%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],e330176136c0a92a15b3e542f387e44f,989ed6399e876c20a3cb986fb2e8183d 943725,"Share of the middle 40% (Market income, equivalized)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1968-2022,6582,,%,"{""name"": ""Share of the middle 40% (Market income, equivalized)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_middle40_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_middle40_mi_eq,,2,major,,,,,,The share of income received by the middle 40%. The middle 40% is the share of the population whose income lies between the poorest 50% and the richest 10%.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],e8a87a5aa279577d3f2ef557693a59f0,dcf5f40469f9f71bd97c1397b8a57eda 943724,"Share of the middle 40% (Market income, per capita)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1968-2022,6582,,%,"{""name"": ""Share of the middle 40% (Market income, per capita)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_middle40_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_middle40_mi_pc,,2,major,,,,,,The share of income received by the middle 40%. The middle 40% is the share of the population whose income lies between the poorest 50% and the richest 10%.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],47b3030e8b66be99d237346da255ac8f,4ccc79bf7ccc21eaef9dca0eb7e57ebe 943723,"Share of the middle 40% (Disposable household cash income, per capita)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the middle 40% (Disposable household cash income, per capita)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_middle40_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_middle40_dhci_pc,,2,major,,,,,,The share of income received by the middle 40%. The middle 40% is the share of the population whose income lies between the poorest 50% and the richest 10%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],8416172fee9e15cdcc10b9603ba2a7b6,9ccdbd46748ae8a192d2bee568c68cd3 943722,"Share of the bottom 50% (Market income, equivalized)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1968-2022,6582,,%,"{""name"": ""Share of the bottom 50% (Market income, equivalized)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_bottom50_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_bottom50_mi_eq,,2,major,,,,,,The share of income received by the poorest 50%.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],c9e7b911543e201e9bcca4e66fee5ffd,1b663d814ee7216c69f0151a7b2ed972 943721,"Share of the bottom 50% (Market income, per capita)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1968-2022,6582,,%,"{""name"": ""Share of the bottom 50% (Market income, per capita)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_bottom50_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_bottom50_mi_pc,,2,major,,,,,,The share of income received by the poorest 50%.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],68487b93bc3cb236466b6459da0e0b03,a1779601351a12972b552fae5604704f 943720,"Share of the bottom 50% (Disposable household income, equivalized)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the bottom 50% (Disposable household income, equivalized)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_bottom50_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_bottom50_dhi_eq,,2,major,,,,,,The share of income received by the poorest 50%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],6551d2b2f583b1b1d24e0ee3cadc8ea8,3df47b051c40e1b8cbd77160fb6a2cbf 943719,"Share of the bottom 50% (Disposable household cash income, per capita)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the bottom 50% (Disposable household cash income, per capita)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_bottom50_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_bottom50_dhci_pc,,2,major,,,,,,The share of income received by the poorest 50%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],8416ea0c0f03bb58496a76159b3a0e96,3311b1e8bfcfe0fc31bd79b33ce221df 943718,"Share of the bottom 50% (Disposable household income, per capita)",%,,2024-06-25 14:17:02,2024-07-25 22:56:10,,,1963-2022,6582,,%,"{""name"": ""Share of the bottom 50% (Disposable household income, per capita)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_bottom50_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_bottom50_dhi_pc,,2,major,,,,,,The share of income received by the poorest 50%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],6660aa4a9b16e95bc8708f953ef40a2b,6e296215ae3918986925083ddf067142 943717,"Share of the bottom 50% (Disposable household cash income, equivalized)",%,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1963-2022,6582,,%,"{""name"": ""Share of the bottom 50% (Disposable household cash income, equivalized)"", ""unit"": ""%"", ""shortUnit"": ""%"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,share_bottom50_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#share_bottom50_dhci_eq,,2,major,,,,,,The share of income received by the poorest 50%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],0f8bd75721bdc29c98c3f35635ed3688,c55e429b2d810fda63bd5dc4263f5232 943716,"P50/P10 ratio (Disposable household income, equivalized)",,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P50/P10 ratio (Disposable household income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p50_p10_ratio_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p50_p10_ratio_dhi_eq,,2,major,,,,,,The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median income is two times higher than that of someone just falling in the poorest tenth of the population.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],dc63ac5ea0c9a6d5ebce573065f883ac,ab25bbd6a594aa5dbcf42028bf0dd1a0 943715,"P50/P10 ratio (Market income, per capita)",,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""P50/P10 ratio (Market income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p50_p10_ratio_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p50_p10_ratio_mi_pc,,2,major,,,,,,The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median income is two times higher than that of someone just falling in the poorest tenth of the population.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],821ba62dbb6ffee26be407488fc2d6d6,ccf417070433bd6e685a57d513a8548c 943714,"P50/P10 ratio (Market income, equivalized)",,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""P50/P10 ratio (Market income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p50_p10_ratio_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p50_p10_ratio_mi_eq,,2,major,,,,,,The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median income is two times higher than that of someone just falling in the poorest tenth of the population.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],e9293c7e45e4d95225955020b29eecbc,7c65e7e57af6cc42d3fbc0df8b0a85c7 943713,"P50/P10 ratio (Disposable household income, per capita)",,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P50/P10 ratio (Disposable household income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p50_p10_ratio_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p50_p10_ratio_dhi_pc,,2,major,,,,,,The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median income is two times higher than that of someone just falling in the poorest tenth of the population.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],e5429f5c3e92e913a3a0856539c30a25,fbd4ee100c6e3bbfdf607ddc9b5aa13c 943712,"P50/P10 ratio (Disposable household cash income, equivalized)",,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P50/P10 ratio (Disposable household cash income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p50_p10_ratio_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p50_p10_ratio_dhci_eq,,2,major,,,,,,The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median income is two times higher than that of someone just falling in the poorest tenth of the population.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],d0ee27176b05905dbacc70f06bdf3bf7,74c5eedb980a5986073679c27538f4c4 943711,"P50/P10 ratio (Disposable household cash income, per capita)",,,2024-06-25 14:17:02,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P50/P10 ratio (Disposable household cash income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p50_p10_ratio_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p50_p10_ratio_dhci_pc,,2,major,,,,,,The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median income is two times higher than that of someone just falling in the poorest tenth of the population.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],799a9410d9fd02133890bb4678b4d757,6882468594d57db3aee0daf08b45c177 943710,"P90/P50 ratio (Disposable household income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P50 ratio (Disposable household income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p50_ratio_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p50_ratio_dhi_eq,,2,major,,,,,,The P90/P50 ratio measures the degree of inequality within the richest half of the population. A ratio of 2 means that someone just falling in the richest tenth of the population has twice the median income.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],8a353b47e43a6569456297b20b37c68f,41122d7de07108d415ed341643e659e5 943709,"P90/P50 ratio (Market income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""P90/P50 ratio (Market income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p50_ratio_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p50_ratio_mi_eq,,2,major,,,,,,The P90/P50 ratio measures the degree of inequality within the richest half of the population. A ratio of 2 means that someone just falling in the richest tenth of the population has twice the median income.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],53aa874e76a0d314d74967d08b8d2c79,90bc0fd6e9f40bb50056edd3289a2232 943708,"P90/P50 ratio (Market income, per capita)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""P90/P50 ratio (Market income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p50_ratio_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p50_ratio_mi_pc,,2,major,,,,,,The P90/P50 ratio measures the degree of inequality within the richest half of the population. A ratio of 2 means that someone just falling in the richest tenth of the population has twice the median income.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],dc7ce1870483989ddf1be6617f29dd9c,4006df38dda3b4fa6a2771bec3508843 943707,"P90/P50 ratio (Disposable household cash income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P50 ratio (Disposable household cash income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p50_ratio_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p50_ratio_dhci_eq,,2,major,,,,,,The P90/P50 ratio measures the degree of inequality within the richest half of the population. A ratio of 2 means that someone just falling in the richest tenth of the population has twice the median income.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],00c32c1ca2270c81c1ba14bdd11103b9,dced4b4acdfa4b2a7d3e278c4addfd5c 943706,"P90/P50 ratio (Disposable household income, per capita)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P50 ratio (Disposable household income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p50_ratio_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p50_ratio_dhi_pc,,2,major,,,,,,The P90/P50 ratio measures the degree of inequality within the richest half of the population. A ratio of 2 means that someone just falling in the richest tenth of the population has twice the median income.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],0f412a81e5345e4b4d80a2a380db8bf3,a5ef1614fb15df97296b00f971a4f110 943705,"P90/P50 ratio (Disposable household cash income, per capita)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P50 ratio (Disposable household cash income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p50_ratio_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p50_ratio_dhci_pc,,2,major,,,,,,The P90/P50 ratio measures the degree of inequality within the richest half of the population. A ratio of 2 means that someone just falling in the richest tenth of the population has twice the median income.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],8b184993969a4249d979cd6948af96f5,a4a158b5beb7638cc95f9d860b7ba667 943704,"P90/P10 ratio (Disposable household income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P10 ratio (Disposable household income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p10_ratio_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p10_ratio_dhi_eq,,2,major,,,,,,"P90 and P10 are the levels of income below which 90% and 10% of the population live, respectively. This variable gives the ratio of the two. It is a measure of inequality that indicates the gap between the richest and poorest tenth of the population.",,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],98bf3a4c49d4349efa4540b47088c74f,e3a5f9f609bfeccd7a4501271cd51985 943703,"P90/P10 ratio (Market income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""P90/P10 ratio (Market income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p10_ratio_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p10_ratio_mi_eq,,2,major,,,,,,"P90 and P10 are the levels of income below which 90% and 10% of the population live, respectively. This variable gives the ratio of the two. It is a measure of inequality that indicates the gap between the richest and poorest tenth of the population.",,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],b928398683284cde892004fe252f7a6c,93207dfc027b8e0cff64039f7989f563 943702,"P90/P10 ratio (Market income, per capita)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""P90/P10 ratio (Market income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p10_ratio_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p10_ratio_mi_pc,,2,major,,,,,,"P90 and P10 are the levels of income below which 90% and 10% of the population live, respectively. This variable gives the ratio of the two. It is a measure of inequality that indicates the gap between the richest and poorest tenth of the population.",,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],e449b85227d6e3cdcbc5d93ba38e4337,4cdd145a7ab57f08c176d98f2d2843fb 943701,"P90/P10 ratio (Disposable household cash income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P10 ratio (Disposable household cash income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p10_ratio_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p10_ratio_dhci_eq,,2,major,,,,,,"P90 and P10 are the levels of income below which 90% and 10% of the population live, respectively. This variable gives the ratio of the two. It is a measure of inequality that indicates the gap between the richest and poorest tenth of the population.",,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],7552bf0701af2c15189cc0a58d16174b,2f2ec99f1ecca31a38834996472ece1c 943700,"P90/P10 ratio (Disposable household income, per capita)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P10 ratio (Disposable household income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p10_ratio_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p10_ratio_dhi_pc,,2,major,,,,,,"P90 and P10 are the levels of income below which 90% and 10% of the population live, respectively. This variable gives the ratio of the two. It is a measure of inequality that indicates the gap between the richest and poorest tenth of the population.",,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],a7185b7f148cf33e7a1a7f58d06b188e,59eb49a67473e65a78a4bc6d71104fe7 943699,"P90/P10 ratio (Disposable household cash income, per capita)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""P90/P10 ratio (Disposable household cash income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,p90_p10_ratio_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#p90_p10_ratio_dhci_pc,,2,major,,,,,,"P90 and P10 are the levels of income below which 90% and 10% of the population live, respectively. This variable gives the ratio of the two. It is a measure of inequality that indicates the gap between the richest and poorest tenth of the population.",,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],15134b1078430aaa222f54ec748be1a2,5575d53545c85a7951156231816e2a7d 943698,"S80/S20 ratio (Market income, equivalized)",,,2024-06-25 14:17:01,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""S80/S20 ratio (Market income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,s80_s20_ratio_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#s80_s20_ratio_mi_eq,,2,major,,,,,,The S80/S20 ratio is the share of total income of the top 20% divided by the share of the bottom 20%.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],eb52daab6d25a78a486b91bb378375e6,f7e01049eeb8b19c9d28901976165cb7 943697,"S80/S20 ratio (Disposable household income, equivalized)",,,2024-06-25 14:17:00,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""S80/S20 ratio (Disposable household income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,s80_s20_ratio_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#s80_s20_ratio_dhi_eq,,2,major,,,,,,The S80/S20 ratio is the share of total income of the top 20% divided by the share of the bottom 20%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],b448795ac85076a66234d55e47ed84a7,b2b233e5ab08827b6da0277077038cd1 943696,"S80/S20 ratio (Disposable household cash income, equivalized)",,,2024-06-25 14:17:00,2024-07-25 22:56:08,,,1963-2022,6582,,,"{""name"": ""S80/S20 ratio (Disposable household cash income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,s80_s20_ratio_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#s80_s20_ratio_dhci_eq,,2,major,,,,,,The S80/S20 ratio is the share of total income of the top 20% divided by the share of the bottom 20%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],82d2d3b24e3ac768e6b84c708a942616,b899b574a918b2fdf864976060f2f344 943695,"S80/S20 ratio (Disposable household income, per capita)",,,2024-06-25 14:17:00,2024-07-25 22:56:08,,,1963-2022,6582,,,"{""name"": ""S80/S20 ratio (Disposable household income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,s80_s20_ratio_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#s80_s20_ratio_dhi_pc,,2,major,,,,,,The S80/S20 ratio is the share of total income of the top 20% divided by the share of the bottom 20%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],10b3ca7ee78383cdcc812321c6ae624b,4c93b854181d2b366b86c283080c5b50 943694,"S80/S20 ratio (Market income, per capita)",,,2024-06-25 14:17:00,2024-07-25 22:56:09,,,1968-2022,6582,,,"{""name"": ""S80/S20 ratio (Market income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,s80_s20_ratio_mi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#s80_s20_ratio_mi_pc,,2,major,,,,,,The S80/S20 ratio is the share of total income of the top 20% divided by the share of the bottom 20%.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],dde424dfff02a3e2e91a39822103330d,94b4a89b1346fc8c0a2e093f59b6326c 943693,"S80/S20 ratio (Disposable household cash income, per capita)",,,2024-06-25 14:17:00,2024-07-25 22:56:09,,,1963-2022,6582,,,"{""name"": ""S80/S20 ratio (Disposable household cash income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,s80_s20_ratio_dhci_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#s80_s20_ratio_dhci_pc,,2,major,,,,,,The S80/S20 ratio is the share of total income of the top 20% divided by the share of the bottom 20%.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],98bf4109b39baebd84787c9796031ee6,38fc97d46febd5bd415fc6ae17993359 943692,"Palma ratio (Disposable household income, per capita)",,,2024-06-25 14:17:00,2024-07-25 22:56:08,,,1963-2022,6582,,,"{""name"": ""Palma ratio (Disposable household income, per capita)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,palma_ratio_dhi_pc,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#palma_ratio_dhi_pc,,2,major,,,,,,The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income is per capita, which means that each person (including children) is attributed an equal share of the total income received by all members of their household.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],3ee3da90fbdcdb855379e949eb4d5dc4,596f244d8f69df8a4ef778b3091b7d29 943691,"Palma ratio (Disposable household income, equivalized)",,,2024-06-25 14:17:00,2024-07-25 22:56:08,,,1963-2022,6582,,,"{""name"": ""Palma ratio (Disposable household income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,palma_ratio_dhi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#palma_ratio_dhi_eq,,2,major,,,,,,The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],8547abcf9a554d9c1d13f00e33160eca,d414b12875dca95ba51bab00ce0e56d8 943690,"Palma ratio (Market income, equivalized)",,,2024-06-25 14:17:00,2024-07-25 22:56:08,,,1968-2022,6582,,,"{""name"": ""Palma ratio (Market income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,palma_ratio_mi_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#palma_ratio_mi_eq,,2,major,,,,,,The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.,,"[""Income is ‘pre-tax’ — measured before taxes have been paid and most government benefits have been received."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],2f3c193575fb4873ad25fcbf27af70f9,07466139f9909926d35f3a920e9de1ea 943689,"Palma ratio (Disposable household cash income, equivalized)",,,2024-06-25 14:17:00,2024-07-25 22:56:08,,,1963-2022,6582,,,"{""name"": ""Palma ratio (Disposable household cash income, equivalized)"", ""tolerance"": 5, ""numDecimalPlaces"": 1}",0,,,palma_ratio_dhci_eq,grapher/lis/2024-06-13/luxembourg_income_study/luxembourg_income_study#palma_ratio_dhci_eq,,2,major,,,,,,The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.,,"[""Income is ‘post-tax’ — measured after taxes have been paid and most government benefits have been received and excluding fringe benefits, home production, in-kind benefits and transfers."", ""Income has been equivalized – adjusted to account for the fact that people in the same household can share costs like rent and heating.""]","We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform. We obtain after tax income by using the disposable household income variable (`dhi`). We estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed. We obtain after tax income (cash) by using the disposable household cash income variable (`dhci`). We convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform. We top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range. We equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members. We obtain Gini coefficients by using [Stata’s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function.",,,,float,[],33c95aade78c68b44d447e12e15b149d,15a2a9322021fa784844cd95ff3573d4