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The Chances of Abena , Sára, Chen and Ali in Hungary Migrant Chances and Experiences in Hungary

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

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The Chances of Abena , Sára, Chen and Ali in Hungary Migrant Chances and Experiences in Hungary

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  1. The Chances of Abena, Sára, Chen and Ali in HungaryMigrantChances and Experiencesin 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. Wherearetheycomingfrom, howmanyarethey, whatshouldwedowiththem? 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 – amongpartyvoters

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

  10. Tension perception between different social groups

  11. The perception of tension is justoneelement of a coherentworldviewasthosewhoperceivegreattensions between Hungarians and immigrantsare …

  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: Discriminatorysituation embedded into questionnaire Experimental variables: skin colour&gender homogenous variables: age, family status, immigration status, language skills

  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, percentby gender)

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

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