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hl/hlf0606: Evaluation of financial burden through housing expenses (Amortization / interest
en | de | |
---|---|---|
1 | [1] High Financial Burden | [1] hohe finanzielle belastung |
2 | [2] Low Financial Burden | [2] geringe finanzielle belastung |
3 | [3] No Problem | [3] kein problem |
-1 | [-1] No answer | [-1] keine Angabe |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Implausible value | [-3] unplausibler Wert |
-4 | [-4] Inadmissable multiple response | [-4] unzulaessige 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 geaenderter Filterfuehrung |
-7 | [-7] Only available in less restricted edition | [-7] nur in weniger eingeschraenkter Edition verfuegbar |
-8 | [-8] Question this year not part of survey | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
English label: Evaluation of financial burden through housing expenses (Amortization / interest
German label: Beurteilung Belastung durch Wohnkosten (Tilgung / Zinsen und Nebenkosten)
hl – Data from household questionnaires (long)
Analysis Unit : Household
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- Are your housing expenses, that is, loan or mortgage payments and interest and all additional costs, a high financial burden for your household, a low burden, or no problem?Are the housing costs, ie repayment / interest and additional costs for your household a high financial burden, a small burden or no problem?
- Are your housing expenses, that is, loan or mortgage payments and interest and all additional costs, a high financial burden for your household, a low burden, or no problem?Are the housing costs, ie repayment / interest and additional costs for your household a high financial burden, a small burden or no problem?
Measure | Value |
---|---|
valid | 6277 |
invalid | 442997 |
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.