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hl/hlc0022_h: [de] Was waere ein gutes HH-Einkommen (Euro) [harmonisiert]
en | de | |
---|---|---|
-1 | [-1] No answer | [-1] No answer |
-2 | [-2] Does not apply | [-2] Does not apply |
-3 | [-3] Implausible value | [-3] Implausible value |
-4 | [-4] Inadmissable multiple response | [-4] Inadmissable multiple response |
-5 | [-5] Not included in this version of the questionnaire | [-5] Not included in this version of the questionnaire |
-6 | [-6] Version of questionnaire with modified filtering | [-6] Version of questionnaire with modified filtering |
-7 | [-7] Only available in less restricted edition | [-7] Only available in less restricted edition |
-8 | [-8] Question this year not part of survey | [-8] Question this year not part of survey |
English label: [de] Was waere ein gutes HH-Einkommen (Euro) [harmonisiert]
German label: Was waere ein gutes HH-Einkommen (Euro) [harmonisiert]
hl – Data from household questionnaires (long)
Analysis Unit : Household
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
Step 1: The variable hlc0022_h is replaced by the variable hlc0022_v2 for the years 2007 and 2018. Step 2: The variable hlc0022_v1 is converted into Euro by divisor 1.95583 (not adjusted for inflation) for the years 1992 and 1997 and subsequently integrated into the harmonized variable hlc0022_h.
- The next question is about what you would consider a good or bad income in relation to your own personal circumstances and needs. What would you consider... - ... a good income? (... EURO a month)
- The next question is about what you would consider a good or bad income in relation to your own personal circumstances and needs. - ... a good income? (... EURO a month)
Measure | Value |
---|---|
Min. | 0.0 |
1st Qu. | 1790.0 |
Median | 2500.0 |
Mean | 2763.9832110237053 |
3rd Qu. | 3500.0 |
Max. | 100000.0 |
valid | 37882 |
invalid | 411392 |
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.