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bgp/bgp100o01: Income-Persons Not In HH Prev. Yr
en | de | |
---|---|---|
1 | [1] Yes | [1] Ja |
-1 | [-1] No Answer | [-1] keine Angabe |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Answer improbable | [-3] nicht valide |
-4 | [-4] Inadmissible 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 eingeschränkter Edition verfügbar |
English label: Income-Persons Not In HH Prev. Yr
German label: Unterstuetzung ausserhalb des HH bezogen Vorjahr
bgp – Data from individual questionnaires 2016
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2016
Study: SOEP-Core
- Which of the following sources of income did you receive in the past calendar year, 2015? For each of the income sources that apply, please state how many months of 2015 you received the income and what the average monthly income amount was. - Other financial assistance to persons who do not live in the household
- Which of the following sources of income did you receive in the past calendar year, 2015? For each of the income sources that apply, please state how many months of 2015 you received the income and what the average monthly income amount was. - Other financial assistance to persons who do not live in the household
- Which of the following sources of income did you receive in the past calendar year, 2015? For each of the income sources that apply, please state how many months of 2015 you received the income and what the average monthly income amount was. - Other financial assistance to persons who do not live in the household
Measure | Value |
---|---|
valid | 380 |
invalid | 28736 |
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.