Environmental Indicators Dataset
The Quality of Government Environmental Indicators Dataset (QoG-EI) is a compilation of major freely available indicators measuring environmental performance of countries over time.
Citation
When using QoG Environmental Indicators data, make sure to cite both the original source and our publication:
Povitkina, Marina, Natalia Alvarado Pachon & Cem Mert Dalli. 2021. The Quality of Government Environmental Indicators Dataset, version Sep21. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government
The QoG datasets are open and available, free of charge and without a need to register your data. You can use them for your analysis, graphs, teaching, and other academic-related and non-commercial purposes. We ask our users to cite always the original source(s) of the variables and our datasets.
We do not allow other uses of these data including but not limited to redistribution, commercialization and other for-profit usage. If a user is interested in such use or has doubts about the license, they will have to refer to the original source and check with them if this is allowed and what requirements they need to fulfill.
In 2023, we have uploaded a new version of the data that has dropped all the observations that are empty for content variables (meaning variables that are not used for identification). The data’s content has not changed otherwise.
Be mindful the original data sources are the only owners of their data and they can adjust their license without previous warning.
These indicators include the presence and strictness of environmental policies, the level of pressure on the environment (such as ecological footprint and emission levels), and public opinion on the environmental matters. The dataset also includes background geographical data such as the annual average rainfall and the size of land area, among others.
Most of the indicators are available for several years, however, some are only available for a single year. When using these indicators, the users are encouraged to filter the dataset on that year.