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hl/hlc0045_v2: [de] Betrag Kindergeld heute/Monat (Euro) [2002-2022]
| 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] Betrag Kindergeld heute/Monat (Euro) [2002-2022]
German label: Betrag Kindergeld heute/Monat (Euro) [2002-2022]
hl – Data from household questionnaires (long)
Analysis Unit : Household
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- And what is the situation now? Are you or is another member of your household currently receiving any of the following types of government benefits? - Currently Amount per month […] if applicable, excl. supple-mentary child benefit
- How much in monthly child benefits (Kindergeld) do you or your household currently receive? - Euros
- How much money do you or another member of your household currently receive through child support on average per month? - Amount per month
- How much money do you currently receive through child benefit on average per month? - Amount per month
- How much in monthly child benefits (Kindergeld) do you or your household currently receive? - Euros
| Measure | Value |
|---|---|
| Min. | 1.0 |
| 1st Qu. | 184.0 |
| Median | 308.0 |
| Mean | 343.1699654749293 |
| 3rd Qu. | 408.0 |
| Max. | 10956.0 |
| valid | 131209 |
| invalid | 318065 |
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.