To assist us in our aim of collecting reliable data, we assign a trust score (data reliability score) to each source datapoint, with different rules per region according to how that particular data set was compiled. The trust scores range from 0 to 100. The most reliable data-which receives the highest data reliability score-tends to be recent, local and verified.

The trust scores range from 0 to 100. Points are taken away for:

• Age: older datasets are less reliable,
• Proxy data: data assigned from other countries is less reliable than in-country data,
• Modelled data: data that is calculated via a model is less reliable than actual data.

Overall, the highest data reliability scores tend to go to data that is recent and local.

Example low data reliability:

In EXIOBASE, national estimates are constructed using national statistics and consolidated with each other to create a global balanced multiregional input-output table. If data for a specific nation is missing, the results from a geographically near country are applied as proxy data. For instance, South Africa is calculated but there are no bottom-up calculations/data for Zimbabwe, so South Africa's results are applied to Zimbabwe.

Example high data reliability:

In Eurostat, employment data is gathered at a high level of granularity from the national statistics office and is available with annual figures. This is a trusted, verified institution that collects up to date data that is contextual.

For more information about how reliable your city's data is, or to find out how to improve your city's data reliability, please contact our Data Lead marijana@circle-economy.com