The indicator is created from the Eurobarometer 79.2 survey���s GESIS datafile using regional subsamples. The regional subsamples were recoded to the NUTS 2016 regional boundary definitions with the regions R package. In the larger countries, where only NUTS1 level information was present (for example, in Germany and the United Kingdom), we imputed the NUTS1 territorial average values to the constituent NUTS2 regions. A ���dirty averaging��� was used to create regional averages, with scale national post-stratification weights to an expected value of 1. Respondents who replied to the question ���Why did you not visit a library��� with a reply indicating lack of local supply were coded with one, and every other respondent with zero. This indicator was used in the Bal��zs Bod��, D��niel Antal, Zolt��n Puha: Can scholarly pirate libraries bridge the knowledge access gap? An empirical study on the structural conditions of book piracy in global and European academia, in Plos ONE (Published: December 3, 2020.)