In 2017, the European Training Foundation (ETF) began a project on skills mismatch measurement in ETF partner countries. The project objectives were to identify regular data sources, and develop and test indicators that can capture various angles and implications of skills mismatch. In the first phase of the pilot project, four partner countries were selected: Serbia, Georgia, Egypt, and Morocco. In the second phase, it included Montenegro, North Macedonia, and Moldova. Country-specific analyses have been developed for all countries to contextualise skills mismatch measurement. A cross-country report complements these findings and explores the methodology further. The key mismatch indicators (or clusters of indicators) calculated and discussed in this report are: (1) unemployment rates by various dimensions; (2) proportions of unemployed people to employed; (3) people not in employment, education, or training (NEETs); (4) coefficient of variation for education; (5) variance of relative unemployment rates; (6) over- and under-education; (7) mismatch by occupation groups; and (8) relative wages. Chapter 1 presents key information on demographic, labour market, and economic considerations. Such analysis is essential in order to contextualise the discussion on skills mismatch in the country, as insufficient context could jeopardise the interpretation of indicators and lead to biased findings. The data sources and aspects of comparability are explored in Chapter 2. Chapter 3 discusses the relevance and results of each skills mismatch indicator (or cluster of indicators). The final chapter summarises the key conclusions and potential policy implications. [For the cross-country report, "Skills Mismatch Measurement in ETF Partner Countries," see ED597236.]