Our Data

Our Databases

LIS collects and harmonises socio-economic micro datasets from upper- and middle-income countries, places them on a secure server and makes them available in two databases:
Luxembourg Income Study Database (LIS) that is the largest available income database of harmonised Microdata.
Luxembourg Wealth Study Database (LWS) that is the first cross-national wealth database in existence.

Making the data available to researchers

Microdata that would otherwise be incomparable, or impossible to access, are thus made available to researchers world-wide through three pathways:

The data are available to users through three distinct pathways:

LISSY – remote execution system only for registered researchers and exclusively for non-commercial purposes

Web Tabulator – an online table maker to design and generate cross-national descriptive tables

Key Figures – national indicators based on LIS Microdata

Inequality and Poverty Key Figures
Employment by Gender Key figures


LIS Databases have been used by thousands of researchers coming from diverse disciplines, primarily economics, sociology, political science and the policy sciences to conduct cross-national comparative research on socio-economic outcomes. Over the last 30 years, many researchers use the LIS data to analyse variation in socio-economic outcomes within and across countries. Making the LWS data available has also enabled entirely new lines of research about wealth, debt and other dimensions of economic well-being.

Research based on LIS microdata has appeared in dissertations, journal articles, and books, informs NGOs and policy-makers, and is often featured in the popular media. All research based on LIS and LWS microdata is catalogued in our Working Paper series.

Combination of our microdata with country-level data from other sources is possible to study the relationship between LIS-generated indicators and other outcomes such as family wellbeing, political behaviour, and macroeconomic conditions. Visit our resources page to view other databases.