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• The most commonly reported skills across the board are soft skills such as working in teams, management skills, supervising a team or group, and demonstrating good manners. Those tend to be included as Communication, Organisational and Job Related skills in varying frequencies.
• The most frequently included hard skills are computer use and software and applications development and analysis, which are most often included in the field of Computer skills.
• Some other concrete professional skills commonly mentioned include assure quality of processes and products and law, most commonly included in the Job Related field.

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• The skill groups most commonly referenced by older users are hard skills relevant to a specific sector, such as database and network administration, law, and management and administration. On the other hand, younger users tend to reference more generic skill groups that may be considered soft skills, such as caring for children, demonstrate good manners, and communication, collaboration and creativity.
• With regards to Organisational skills and skills related to Communication, older users tend to include concrete skills and knowledge, such as on matters related to law, building and developing teams and management and administration. Conversely, younger users more commonly include skills acquired through experiences in sports, language acquisition, and soft skills like demonstrating good manners and caring for children.
• Likewise, Job Related skills included by older users are more likely to be specific to a job sector like law, medicine, management and administration and database and network design and administration, in contrast to those by younger users which are comperatively more generic, like working in teams, demonstrating good manners and communication, collaboration and creativity.
• Younger users tend to focus on Computer skills related to using digital tools for processing sound and images and using word processing, publishing and presenting software. Older users report database and network design and administration, setting up computer systems and software and applications development and analysis skill groups.

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• Skills groups follow different patterns of inclusion between the two genders. Male users tend to report more technical skills both across the board and for each individual skill type, while female users tend to report more skills where human interaction is required.
• Male users more commonly report skills related to repairing and installing mechanical equipment, assembling electrical and electronic products, and designing electrical or electronic systems or equipment.
• Female users more frequently mention skills related to child care and youth services, caring for children and care of the elderly and of disabled adults.

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• The most common skill groups observed are common between the different countries. In particular, working in teams, management skills, computer use and supervising a team or group appear relatively consistently among the top skill groups of all countries.
• Note that some of the differences noted might be a result of biases on the algorithm, which different across the different language. As the level of aggregation increases (ie. a higher level in the Skills hierarchy is utilized), the biases’ effect decreases.

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• The relationship between the number of unique ESCO skills matched and the total number of CVs for a particular locale is approximately logarithmic.
• As data is more aggregated towards 3 and 2-digit codes, coverage of all skill group levels is reached earlier.
• Points above the fitted line have more skills matched than expected, while those below have less.
• Less matches than the expected, as in the case of Hungarian and Greek, may be an indication of linguistic peculiarities, disparities in the quality of ESCO models of different languages, and imbalances of Europass users of these locales with respect to representation.

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• The top reported skill groups are mutual across the top occupations, namely working in teams, management skills, supervising a team or group.
• Skills specific to occupations, such as law for Legal, social and cultural professionals and software and applications development and analysis for Information and communications technology professionals appear among the top skill groups, but soft skills are the most common across the majority of occupations.

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• The RCA index reveals a lot of the skills expected for each job, with serving food and drinks having over 8 times a comparative advantage for Waiters and bartenders and database and network design and administration being over 6 times more overexpressed among Software and applications developers and analysts.
• Skills that were shown to be ubiquitous, such as working in teams have received a low RCA score across the board and are therefore not characteristic of any occupation in particular.

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• Two main clusters are observed: one composed of skills primarily included on CVs of people whose latest job belongs on ISCO 1 occupations Professionals and Managers, and another of skills from occupations belonging on ISCO 1 occupations Elementary occupations, Craft and related workers, Clerical support workers, and Service and sales workers.
• Skills from the first cluster are relatively ubiquitous.
• Note also the small cluster of three service-type skills at the bottom of the graph.

• Approximately 33% of users are classified as NEET, of which 71% are between 15 and 29. 56% are in employment, education, or both, while not enough information are provided to determine the status of the 11% of users. About half of users in education are also employed.
• Noting the roughly 5% overreprentation of males in the dataset, both male and female users are roughly equally likely to be classified as NEET. Active employment is slightly more likely for male users, while active education is slightly more like for female users.
• The age breakdown of NEETs is slightly skewed towards younger ages compared to users in education, employment, or training.
• Europass users classified as NEET are over 40% in Portugal and Ireland. The lowest percentages are seen in Estonia and Finland, where it is under 25%.

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• The most common skills seen in CVs created by NEETs are roughly the same as those seen in users in education or employment. However, the average frequency of inclusion of skills is lower for NEETs.
• The frequency is especially lower for skills that suggest experience in the work force, such as supervising a team or group, and specialization in one particular area, such as software and applications development and analysis.
• On the other hand, inclusion of more generic skill groups such as demonstrate good manners and providing information to public and clients is slightly more frequently included.

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• Overall, users currently in education, employment, or training tend to report skills requiring more professional or academic specialization. For example, advising or business or operational matters, providing financial advise and dental studies are much more often reported by these users.
• On the other hand, users determined as NEET have a higher frequency reporting more generic skills or skills related to manual labour. For example, serving food and drinks, storing goods and materials, and demonstrating willingness to learn are relatively more common among these users.