SCoRE - Sub-national Context and Radical Right Support in Europe - Geo-referenced Data

The data for the research project SCORE – Sub-national Context and Radical Right Support in Europe was collected in 2017. The research project focuses on analysing the causes and effects of sub-national differences in support for the radical right in Germany with the aim of improving the existing patterns.
The survey evaluated opinions and attitudes on a range of topics, including Euroscepticism, right-wing populism, attitudes towards Islam, globalisation, political identification and participation. The dataset was collected as part of the German component of the transnational project Sub-National Context and Radical Right Support in Europe (SCoRE), which involves France, Germany, the Netherlands and the United Kingdom. The online survey was conducted by infratest dimap (N=25976).

Another aim of the survey is to analyse the data at a small-scale regional level. To this end, the datasets were categorised into a regional structure during data processing. Based on the respondents´ address data, geocodes (meridians and parallel arcs) were assigned to each data set using the offline software Map&Market premium. The data records were located within a regional radius defined by the Federal Statistical Office on the basis of the previously determined geocodes. For this purpose, a number of 362,000 grid cells with a size of one square kilometre were used. Grid cells in which the number of respondents was less than six were aggregated to avoid the possibility of re-identification. In accordance with the provisions of the German Data Protection Act, address data and survey data were kept separate at all times during the process and all process steps were supervised by infratest dimap´s data protection officer. In particular, data protection was ensured by mapping addresses and geocodes completely offline.
The sample was adjusted to the demographic structures of the universe derived from official statistics. The current population extrapolation and the current “Mikrozensus” of the Federal Statistical Office were used as the data basis. Population distributions are generally adjusted for regional criteria such as Nielsen regions and municipality size classes (BIK10), as well as region (East/West), age groups, gender and educational attainment.
Further information can be found at: https://www.score.uni-mainz.de/<br>Right-left political self-assessment; satisfaction with local politics; interest in politics; understanding of politics and political effectiveness; far-right/populist attitudes; scepticism towards the European Union (EU), attitudes towards EU membership; perceived cultural threat from immigration; increase in crime due to immigration; perceived economic threat from immigration; threat to welfare state due to immigration; party voting; authoritarian attitudes; prejudices against Islam; conservative attitudes and values; traditional gender roles, homosexuality; perception of ethnic diversity in neighbourhood; Intergroup contact, contact with ethnic minority groups in everyday life, relationship with these groups, integration of ethnically diverse groups in circle of friends and family; party identification; economic right-left assessment; attitudes towards globalisation; welfare chauvinism; media consumption, news; relative deprivation; life satisfaction; Moreno scale (attachment to place of residence, region, federal state, country, EU); Housing situation; distance between place of birth and current place of residence; infrastructure and environmental aspects; local disintegration; perception of changes in the neighbourhood; feeling of regional exclusion, segregation, marginalisation; voluntary work; political participation; turnout and voting behaviour in the last federal election.
Demographics: gender; year of birth; age; education; employment; occupational status; federal state; nationality; place of birth; parents´ place of birth; religious affiliation.

Georeferenced data: Data were located within a regional radius provided by the Federal Statistical Office using geocodes (grid cells).

Additionally coded: Interrogator (device).