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bmh/bmh_04_04: Old vs. New Dwelling: Location
en | de | |
---|---|---|
1 | [1] Better | [1] Verbessert |
2 | [2] About the same | [2] Etwa gleichwertig |
3 | [3] Worse | [3] Verschlechtert |
-1 | [-1] No answer / don’t know | [-1] keine Angabe/weiß nicht |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Implausible value | [-3] unplausibler Wert |
-4 | [-4] Inadmissable multiple response | [-4] unzulässige Mehrfachantwort |
-5 | [-5] Not included in this version of the questionnaire | [-5] in Fragebogenversion nicht enthalten |
-6 | [-6] Version of questionnaire with modified filtering | [-6] Fragebogenversion mit geänderter Filterführung |
-7 | [-7] Only available in less restricted edition | [-7] nur in weniger eingeschränkter Edition verfügbar |
-8 | [-8] Question not part of the survey program this year | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
English label: Old vs. New Dwelling: Location
German label: Alte vs. neue Wohnung: Lage
bmh – Data from household questionnaire 2022
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2022
Study: SOEP-Core
- How does your new dwelling compare to your previous one? Is your new dwelling better, about the same, or worse overall than the previous one? - … neighborhood / location
- How does your new dwelling compare to your previous one? Is your new dwelling better, about the same, or worse overall than the previous one? - … neighborhood / location
- How would you rate your current apartment compared to the last one? Has it improved compared to your last apartment, is your current apartment roughly equivalent, or has it worsened? - How is it in terms of the residential area / location?
Measure | Value |
---|---|
valid | 900 |
invalid | 20004 |
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.