1. The Chances of Abena, Sára, Chen and Ali in Hungary Migrant Chances and Experiences in Hungary Overview of the research project carried out by TARKI Social Research Institute, funded by European Integration Fund 2011

2. Trends of xenophobia in Hungary Endre Sik sik@tarki.hu

3. The proportion of xenophobes, real-politicians and xenophiles (between 1992-2011 in per cent)

4. Proportion of xenophobes by education level (%) total

5. Proportion of xenophobes by age group and education level (%)

6. Where are they coming from, how many are they, what should we do with them? Attila Juhász: juhasz@politicalcapital.hu Péter Krekó kreko@politicalcapital.hu

7. The ratio of those who expect a certain national-ethnic group to settle down in great numbers in the near future

8. The ratio of those who expect a certain national-ethnic group to settle down in great numbers in the near future – among party voters

9. Tensions towards migrants Anikó Bernát bernat@tarki.hu

10. Tension perception between different social groups

11. The perception of tension is just one element of a coherent world view as those who perceive great tensions between Hungarians and immigrants are … … more likely to be concerned about the relations between other groups … more likely to support authoritarian policies … more likely to expect mass migration … less trustful regarding both institutions and people in general … are more pessimistic about Hungary’s and their own financial situation in the future Being highly concerned about migrants surmises xenophobia.

12. Does it make people more tolerant if they have migrant acquaintances? Boglárka Szalai boglarka.szalai@tarki.hu

13. Perceived social distance between Hungarians and the five ethnic groups by respondents

14. The social distance from visibly different foreigners by having Arab, Chinese, African acquaintances

15. Allow your child to play with a foreigner (in %)

16. The Chances of Ali, Chen, Fatima and Sára in the Hungarian labour market and housing: To reject and to be rejected Bori Simonovits simonovits@tarki.hu

17. The innovative method: Discriminatory situation embedded into questionnaire homogenous variables: age, family status, immigration status, language skills Experimental variables: skin colour & gender

18. Who would you choose to be a cleaning lady/ repairmen in the local government? (The order of those chosen in the first place, in percent )

19. Who would you choose to be an administrator? (The order of those picked in the first place, percent by gender)

20. To whom would you lend your apartment? (the order of those chosen in the first place, percent by gender)