CPF provides an open-source code to construct a comparative dataset based on the original data from the household panel surveys.
The multilevel panel data covering long periods and several general population surveys allow analysing individual trajectories, time trends, contextual effects and country differences.
Global Data
CPF combines data from 7 countries, 2.7 million observations from almost 360,000 respondents.
Open Science Platform
We encourage open access and community-based development - anyone can contribute to the project.
Working with CPF
The CPF provides free of charge and full access to the programming code. Try it yourself!
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Recent Updates
CPF 2.0 beta version!
We are happy to announce that the beta version of CPF 2.0 (still in testing phase) has been released! The updated version (including supporting materials) wi...
Excluding Russian data from CPF 2.0
Starting with CPF 2.0, the Russian Longitudinal Monitoring Survey (RLMS) data has been excluded from the CPF harmonized cross-country dataset.
Talking about CPF and open science with Sage
Konrad Turek had the pleasure of speaking with Sage Research Methods about open science, open-source knowledge production and the Comparative Panel File (CPF...
Article on CPF and open science
In this new article, Konrad Turek discusses open science and refers to the Comparative Panel File. What it means to “open” knowledge production in social sci...
CPF 2.0 coming soon
We’re excited to announce that version 2.0 of the CPF Open Harmonization project is on its way, and it’s packed with updates. What’s new in CPF 2.0?
Welcome to the new website of CPF!
At Comparative Panel File (CPF), we aim to support the community of sociologists, demographers and other researchers interested in comparative life course st...
CPF v.1.6 – what’s new?
Small updates to the v.1.6 code:
CPF ver. 1.52 – kids and older people in HH added
I added several useful varialbes to the main code at Github. This latest version can be downladed from Github directly or from this CPF website (Downloads):