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bip/bip_176_05: Influx of refugees risk or opportunity long term
| en | de | |
|---|---|---|
| 1 | [1] More risks in the long term | [1] Langfristig mehr Risiken |
| 2 | [2] 2 | [2] 2 |
| 3 | [3] 3 | [3] 3 |
| 4 | [4] 4 | [4] 4 |
| 5 | [5] 5 | [5] 5 |
| 6 | [6] 6 | [6] 6 |
| 7 | [7] 7 | [7] 7 |
| 8 | [8] 8 | [8] 8 |
| 9 | [9] 9 | [9] 9 |
| 10 | [10] 10 % | [10] 10 |
| 11 | [11] 11 More opportunities in the long term | [11] 11 Langfristig mehr Chancen |
| -1 | [-1] No answer | [-1] keine Angabe |
| -2 | [-2] Does not apply | [-2] trifft nicht zu |
| -3 | [-3] Not valid | [-3] nicht valide |
| -4 | [-4] Forbidden Multiple Response | [-4] Unzulaessige Mehrfachantwort |
| -5 | [-5] Not Included In Questionnaire Version | [-5] In Fragebogenversion nicht enthalten |
| -6 | [-6] Questionnaire Version With Modified Filter | [-6] Fragebogenversion mit geaenderter Filterfuehrung |
| -7 | [-7] Only available in less restricted edition | [-7] Nur in weniger eingeschränkter Edition verfügbar |
English label: Influx of refugees risk or opportunity long term
German label: Zustrom von Flüchtlingen langfristig mehr Risiko oder Chance
bip – Data from individual questionnaires 2018
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2018
Study: SOEP-Core
- Refugees are a controversial topic of discussion in Germany: What would you personally say about the following questions? - Does a large influx of refugees mean more risks or more opportunities in the long term?
- Refugees are a controversial topic of discussion in Germany: What would you personally say about the following questions? -
- Refugees are a controversial topic of discussion in Germany: What would you personally say about the following questions? - Does a large influx of refugees mean more risks or more opportunities in the long term?
| Measure | Value |
|---|---|
| valid | 25447 |
| invalid | 4859 |
Codes of related variables with the same concept
This table provides you with an overview of label definitions across related variables to identify changes over time in longitudinal variables. The first number indicates the value code, the second number (in brackets) represents the frequency in the data. Please note that labels are simplified and values with frequency = 0 are hidden.