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bmp/bmp_121_1_19: [de] Witwenrente Betrag: Unfallversicherung (Euro)
| en | de | |
|---|---|---|
| -1 | [-1] No answer / don’t know | [-1] No answer / don’t know |
| -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 not part of the survey program this year | [-8] Question not part of the survey program this year |
English label: [de] Witwenrente Betrag: Unfallversicherung (Euro)
German label: Witwenrente Betrag: Unfallversicherung (Euro)
bmp – Data from individual questionnaires 2022
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2022
Study: SOEP-Core
- Who pays your retirement / pension and what were the monthly payments in 2021? - Accident insurance (Unfallversicherung, for example, provided by an employer's insurance association (Berufsgenossenschaft))
- Who pays your retirement / pension and what were the monthly payments in 2021? - Accident insurance (Unfallversicherung, for example, provided by an employer’s insurance association (Berufsgenossenschaft))
- Who pays your retirement / pension and what were the monthly payments in 2021? - Accident insurance (Unfallversicherung, for example, provided by an employer’s insurance association (Berufsgenossenschaft))
| Measure | Value |
|---|---|
| Min. | 200.0 |
| 1st Qu. | 260.0 |
| Median | 585.0 |
| Mean | 603.4000244140625 |
| 3rd Qu. | 980.0 |
| Max. | 992.0 |
| valid | 5 |
| invalid | 28699 |
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.