QoG Data
Welcome to the QoG Institute's data pages. We offer several open-source datasets, a variable search tool, visualization tools and some extra information, all about Quality of Government.
Data Downloads
QoG Data offers open-access datasets, both compilation datasets from other sources and original content datasets, so users can learn, research, and better understand the concepts related to Quality of Government.
Original content datasets
The original datasets are created by the QoG researchers and focus on concepts related to quality of government, transparency and public administration. The QoG Expert Survey is a dataset based on our survey of experts on public administration around the world, available in an individual dataset and an aggregated dataset covering more than 100 countries. We also offer the European Quality of Government Index. (EQI) The EQI data contains information on sub-national governance in Europe from three rounds of a large, pan-European survey on citizen perceptions and experiences with public services. Both micro and sub-national data are provided. Finally, the Swedish Agency database which consists of a comprehensive sample of administrative agencies in the Swedish executive bureaucracy between 1960 and 2014.
If you have any question regarding our data, please contact us
The Local Quality of Government Project (Lo-QoG)
The Local Quality of Government dataset (Lo-QoG) project aims to establish a comprehensive platform of indicators on local governance and its societal correlates across 35 European countries. The data will be made publicly available online, providing a resource for researchers and others interested in governance and societal conditions at the local level.
To learn more about the project, including its methodology, geographical data, and local indicators, please visit the project website.
Other tools
In addition to the datasets, we also offer a Data Finder, Variable Search Tool, and some Visualization Tools to help you find and understand our data faster.
The Data Extras section includes reading recommendations, a list of original data sources, GDPR regulations, and special sections for Stata and R users.