2026 Summer Data Splash

LIS is happy to announce the following data updates:

• Belgium (3 new LIS datasets and 4 revised) – three new datasets (BE22, BE23, and BE24) added to the LIS Database.
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  Three new datasets from Belgium (BE22, BE23, and BE24) have been added to the LIS Database. The datasets are based on the respective waves 2023 to 2025 of the Survey on Income and Living Conditions (EU-SILC) carried out by Statistics Belgium (Statbel).
  In addition, four datasets of the Belgian series (BE18–BE21) have been re-harmonised to incorporate the latest revisions carried out by Statistics Belgium (Statbel), notably updated weighting factors and revised education variables.
• Czechia (1 new LWS dataset) – NEW country added to the LWS Database, one dataset (CZ21) .
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  Czechia has been added as a NEW country to the LWS Database! One dataset (CZ21) has been added. The dataset is based on the Czech Household Finance and Consumption Survey (HFCS), conducted by the Czech Statistical Office in cooperation with the Czech National Bank under the national survey name Financial Situation of Households (FSD), and coordinated by the European Central Bank’s Household Finance and Consumption Network (HFCN).
• Finland (5 new LWS datasets) – five new datasets (FI87, FI88, FI94, FI98, and FI04) added to the LWS Database.
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  Five new datasets from Finland (FI87, FI88, FI94, FI98, and FI04) have been added to the LWS Database. The datasets are based on the Household Wealth Survey carried out by Statistics Finland.
• Lithuania (2 new LIS datasets)– addition of LT22 and LT23 to the LIS Database.
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  Two new datasets from Lithuania (LT22 and LT23) have been added to the LIS Database. The datasets are based on the Lithuanian Survey on Income and Living Conditions (EU-SILC) carried out by Statistics Lithuania (State Data Agency).
• Mexico (1 new and 14 revised LIS datasets)– addition of MX24 to the LIS Database.
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  One more dataset (MX24) has been added to the LIS Database. The dataset is based on the National Survey of Household Income and Expenditure (ENIGH – Nueva Serie) carried out by the National Statistical Institute (INEGI).
  In addition, 14 earlier datasets of the Mexican data series have been revised for consistency. For the datasets MX98–MX22, the variable ptime1 (part-time employment) was reviewed: part-time employment is now defined as working less than 40 hours per week (previously: less than 31 hours). For MX05–MX22, the variables wage1 (monthly wage) and hwage1 (hourly wage) are now based on the wage in the main job in the month prior to the interview (previously averaged over the last six months). For the same datasets the education variable educ_c (highest grade/level of education completed) now provides new codes for vocational education; while the variable edyrs (years of education) was entirely reconstructed to reflect actual years of education attended, including incomplete cycles.
  For MX12–MX22, a small number of additional income cases were added to fringe benefits (pi13), with negligible impact on the LIS Key Figures. For the same datasets the section of non-consumption expenditure was reviewed. Other minor changes concern the variables ethnic_c (MX08 – MX22) and health_c (MX20 and MX22).
• Philippines (14 new LIS datasets)– NEW country added to the LIS Databas: PH85 to PH23.
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  The Philippines has been added as a NEW country to the LIS Database! Fourteen datasets spanning from 1985 to 2023 (PH85, PH88, PH91, PH94, PH97, PH00, PH03, PH06, PH09, PH12, PH15, PH18, PH21, and PH23) have been added to the LIS Database. The datasets are based on the Family Income and Expenditure Survey (FIES) from the Philippine Statistics Authority (PSA).
• Sweden (15 new and 26 revised LIS datasets)– annualisation from SE84–SE99 and extension of the annual series by SE22 and SE23 to the LIS Database, and major updates to the annual series SE00–SE21.
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  Fifteen new datasets covering the period SE84–SE99 and two additional datasetsSE22 and SE23 have been added to the LIS Database, all provided by Statistics Sweden. The series SE84–SE99 is based on the Household Income Survey (HINK/HEK), while the datasets SE22 and SE23 use the Swedish Living Conditions Survey (ULF/SILC) sample. In addition, 26 datasets of the annual series SE00–SE21 have been revised for major consistency improvements; the three previously available datasets SE87, SE91, and SE95 have been fully replaced in line with the latest harmonisation practices and available data.
  The Swedish data series consists of two parts: SE75–SE12, based on the HEK survey, and SE13 onwards, based on SILC/ULF combined with IoT data. For both series, various additional linkages to administrative registers have been carried out, enabling the provision of a wider range of variables.
  The variable nrooms (number of rooms available to the household) is now provided throughout the entire series. New content has been added for the variables edmom_c and eddad_c (education of mother and father). The availability of the person pointers momnum, dadnum, and partnum (pointer to the mother, father, and partner, respectively) allows for improved precision in the variables relation (relationship to household reference person), living arrangements variables, and typehh (household type).
  More detailed information on region is now provided in the series from SE13 onwards, aligned with the HEK series. Likewise, the industry variable ind1_c (economic activity) now follows 4-digit codes rather than 2-digit codes. Annual information on parents’ immigration background (immigr_c) has also been added and information on ctrybrth (country of birth), citizen (citizenship), and immigr (immigrant status) is now also available for persons aged below 16.
  For the HEK series, the variable hourstot (total weekly hours worked) is now available for SE96–SE12, and the occupation variable occ1_c (occupation) now provides 4-digit codes for SE01–SE12.
• Switzerland (3 new and 3 revised LIS datasets) – addition to the annual series through CH01, CH03, and CH05.
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  Three new datasets from Switzerland (CH01, CH03, and CH05) have been added to the LIS Database, extending the annual series. The datasets are based on the Swiss Statistics on Income and Living Conditions (SILC) from the Swiss Federal Statistical Office (FSO). In addition, three earlier waves (CH00, CH02, and CH04 ) of the Swiss data series have been slightly revised.
• Consistency Revisions for the LWS Database .
  A few updates have been implemented in the LWS database. Following the latest HFCS data releases, some LWS files based on HFCS now include information in variables area_c (degree of urbanisation) for EE21 and GR21 and in rural (rural area) for AT21, EE21, and GR21. For the full series in Austria, Estonia, Greece, Luxembourg, and Slovenia, a new variable boef_c (future income expectations) is now provided. The section “assets acquired in the past” has also been slightly reworked in the case of Estonia and Greece.