1. Sociodemographics of the Summer Schools of Science (2011) Dunja Potočnik Science and Society Synergy Institute / Institute for Social Research dunja@iszd.hr / dunja@idi.hr dunja@iszd.hrdunja@idi.hr

2. Eurobarometer research on youth in Europe (2011)  Attractiveness of vocational and higher education Vocational education – the least attractive in HR and IT, the most attractive in DK, NO Vocational education/useful skills – HR the last one, DK and NO the first ones Enrollment to university study/higher salary – HR 2. Enrollment to university/high qualifications – HR 2. to the last Enrollment to university/interests towards the field of study – HR i TR at the end // DK, FI, AT Career guidance received during education – HR among the last

3. Science competition results as proxies of the socioeconomic development of the regions in Croatia Physics 2001-2009 / Astronomy 2002-2009 / Chemistry and Biology 2007-2009 Counties with the highest index of the socioeconomic development have the highest number of the students taking part at the science competitions (scalled by the number of inhabitants per county)  Croatia currently has 18% of HE, EU has 30%, Agenda 2020 – 40%  ROSE study / outreach in Europe?

4. Summer schoolsf% S3 Višnjan116,9 S3++ Višnjan106,3 Math summer school Pazin1911,9 SSF Čakovec4930,6 SSF Samobor63,8 SSF Split5534,4 Fractals Zagreb106,3 Genderf% F7245 M8855 N=160 od 177 = 90,4%

5. Agef% 710,6 10148,8 111911,9 12159,4 132113,1 1495,6 152717,0 161911,9 17 10,7 18127,5 1953,1 Completed gradef% Pre-primary10,6 1. PS00 2. PS10,6 3. PS138,1 4. PS159,4 5. PS1610,0 6. PS2113,1 7. PS127,5 8. PS2012,5 Total PS (-1)9961,8 1. SS2213,8 2. SS1911,9 3. SS138,1 4. SS74,4 Total SS6138,2

6. Type of high schoolf% 3 year vocational00 4 year vocational11,6 4 year general / gymansium1423,0 Sport/art gymansium00 Linguistic/classical gymnasium34,9 Math gymansium4370,5 Place of livingf% Village2817,5 Town6037,5 Macro-regional centres (Zagreb, Rijeka, Split, Osijek) 7245,0

7. Parents’ place of birthMotherFather f%f% Village5534,65132,1 Town5534,65232,7 Macro-regional centres4930,85635,2 Parents’ educationMotherFather f%f% Without school/primary school10,600 3 year vocational school42,5127,5 4 year vocational school2918,13622,5 Gymnasium74,47 Higher school148,8148,8 University8251,37043,8 MA or PhD2314,42113,1

8. Parents’ professionMotherFather f%f% Housewifes16,300 Agricultural workers0010,6 Workers1710,72918,2 Craftsmen10,6127,5 Police and military21,353,1 Freelancers (journalists and artists)85,042,5 Clerk officers2817,6138,2 Experts (teachers, engineers, medical doctors, scientists) 8150,96339,6 Managers (directors, politicians)127,53220,1

9. Data analysis by sociodemographic characteristics: Gender – no statistically significant differences between the summer schools Age and completed grade – the youngest students at the SSFs Type of schools (primary-secondary + among secondary) – no statistically significant differences Place of living – only participants of the SSF (Čakovec and Samobor) come from smaller places (villages and small towns), participants of the rest of the summer science schools predominantly come from bigger towns and macro-regional centres.

10. Mothers’ place of birth – S3 – mainly village; S3++ villages and smaller towns; Math camp – big towns; SSF Čakovec – villages and small towns; SSF Samobor – big towns; LJTZ SSF Split – big towns, Fractals – villages and small towns. Fathers’ place of living/Mothers’ and fathers’ education/Mothers’ and Fathers’ profession – no statistically significant differences.  There are no significant differences between the summer schools, but population attending them differs from the general population.