2025 Winter Data Splash

LIS is happy to announce the following data updates:

• Austria (1 new LIS dataset and 1 revised) – one new dataset (AT23) added to the LIS Database.
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  One new dataset (AT23) has been added to the LIS Database. The dataset is based on the Austrian Survey on Income and Living Conditions (EU-SILC) conducted by Statistics Austria. The previous wave (AT22) has been slightly revised in income (hi46: housing benefits) with some effect on the LIS Key Figures.
• Canada (1 new LIS dataset; 1 new LWS dataset and 2 revised) – one new dataset (CA22) added to the LIS Database and (CA23) added to the LWS Database.
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  Update of the LIS series
  One new dataset (CA22) has been added to the LIS Database. The dataset is based on the Canadian Income Survey (CIS), conducted by Statistics Canada.
  
  
  Update of the LWS series
  One new dataset (CA23) has been added to the LWS Database. The dataset is based on the Survey of Financial Securities (SFS), conducted by Statistics Canada. Two earlier waves (CA19 and CA16) have been revised. Variables fyft (full-year full-time), cna (amount of non-home equity lines of credit), pir (inheritance/gift received (dummy)) were added and in CA19 variable bocd1_c (constraints in debt repayment) was also added.
• Chile (1 new LWS dataset and 4 revised) – one new dataset (CL24) added to the LWS Database.
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  One new dataset (CL24) has been added to the LWS Database. The dataset is based on the Household Financial Survey (EFH) carried out by the Central Bank of Chile. The four earlier waves (CL07, CL14, CL17, CL21) have been slightly revised. Specifically, in CL07, CL14, and CL17 the codes for variables bocc1_c (objective credit constraints 1) and bocs_c (subjective credit constraints) were updated to align with the coding used in the other LWS datasets (no content was changed). In CL21, variables basp2, basp5, basp9 (savings purpose) were updated with more detailed information, while the variable ppr (purchase price of principal residence) and ppy (year of purchase of principal residence) were added. Additionally, in CL17, variable emp_ilo (employed (ILO definition)) was added.
• Czechia (15 new LIS datasets and 8 revised) – annualisation of the series from CZ05 to CZ23 in the LIS Database.
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  Fifteen new datasets for the period CZ05 to CZ23 have been added to the LIS Database. The datasets are based on the Czech Statistics on Income and Living Conditions survey (EU-SILC), conducted by Czech Statistical Office. Note that the Czech data series has been reviewed for adopting the official country name “Czechia”. In the microdata this means that the previous entry “Czech Republic” in variable cname has been updated to “Czechia”. This change concerns also the entries in METIS, the PPP files and the datasets.txt/dta files.
  While harmonizing the annual series a few minor consistency revisions have been carried out to the labour market and income sections in earlier datasets based on the EU-SILC survey (CZ04, CZ07, CZ10, CZ13, CZ16). In CZ04, educ_c/educlev/educ was updated with a new variable that offers better overtime comparability and parental education (edmom_c and eddad_c) was filled in both CZ04 and CZ10. For CZ02, an error in the construction of variable dweltyp (type of dwelling) has been corrected.
• Ireland (2 new LIS datasets and 20 revised) – two new datasets IE22 and IE23 added to the LIS Database.
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  Two new datasets (IE22 and IE23 ) have been added to the LIS Database. The datasets are based on the Irish Survey on Income and Living Conditions / EU-SILC, conducted by Central Statistics Office (CSO). Changes in the sampling procedure (increasing from 4 rotational panels to 5 in IE19 and IE20 and finally to 6 rotational panels starting with IE21) triggered revisions in the weighting and calibration procedures by the data provider. Based on the 2020 population estimates, Central Statistics Office (CSO) recalibrated the weights by age and sex, as well as by region, household composition and tenure status at household level. The datasets IE19, IE20, and IE21 are provided now with the revised weights.
  The variable wage1 is not provided anymore for IE19, IE20, and IE21 because monthly wage is not available in the data and the yearly labour income, on which the variable was based, is not the ideal proxy. The variable immigr_c was revised with a more detailed content in IE10 & IE18, based on the country of birth of parents; the content is now similar to the one that is available in the data IE22 and IE23. Other minor revisions, mostly in the labour market section, were performed to be in line with the newest data release.
• Israel (1 new LIS dataset and 25 revised) – one new dataset (IL22) added to the LIS Database.
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  One new dataset (IL22) has been added to the LIS Database. The dataset is based on the Household Expenditure Survey (HES), conducted by Central Bureau of Statistics and reworked by the National Insurance Institute of Israel. 25 earlier waves have been revised. Datasets IL19 to IL21 now provide information in nrooms (number of rooms available in the household). For datasets IL02 to IL21 edrys (years of education) was improved to provide the exact number of years instead of the estimated number of years based on the highest completed education level. For the datasets in the series, where no clear information on enrollment is available (IL86 to IL11, IL17 and IL18), variable depchild (dependent child) was revised to exclude any person aged 18 to 24 years, who was currently mainly employed in the reference period. This revision also impacts the derived variables oneparent (lone parent) and typehh (household type), which are constructed based on the provided content in depchild.
• Panama (20 new LIS datasets and 4 revised) – annualisation of the series from PA96 through PA19 in the LIS Database.
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  Twenty new datasets (PA96, PA97, PA98, PA99, PA00, PA01, PA02, PA03, PA04, PA05, PA06, PA08, PA09, PA11, PA12, PA14, PA15, PA17, PA18, PA19) and four re-harmonised waves (PA07, PA10, PA13, PA16) have been added to the LIS Database. The datasets are based on the Continuous Household Survey (ECH), conducted by the National Institute of Statistics and Census (INEC). The data are collected before taxes and contributions; therefore, LIS carried out simulation of taxes (p/hxitax) and contributions (p/hxscont) in order to calculate disposable household income (dhi). The revised series and the new datasets contain slightly improved calculations of social contributions and income taxes. Other consistency revisions concern mostly the socio-demographic variables, notably ethnic_c: indigenous population, educ_c: highest diploma / completed years of education, and edyrs (education years).

• United States (1 new LIS dataset) – one new dataset (US24) added to the LIS Database.
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  One new dataset (US24) has been added to the LIS Database. The data comes from the March 2025 ASEC component of the Current Population Survey, carried out by the Bureau of Labor Statistics (BLS) / U.S. Census Bureau.

• Switzerland (3 revised LIS datasets) – revisions to the Swiss LIS series CH20 to CH22 .
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  Three waves (CH20, CH21, CH22) based on the Swiss Statistics on Income and Living Conditions (SILC) have been revised in the LIS Database. LIS received an updated version by the Swiss Federal Statistical Office (FSO), which allowed LIS to incorporate revised content in the variables educ_c (highest education level attained) and area_c (degree of urbanisation) and slightly modified values in hxitsc (income taxes and contributions), in line with the latest data release for Eurostat (December 2025).








  Click on `Read more’ to access more details on the newly added and revised datasets

December 12, 2025 | Highlight