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bhp/bhp_179_03: Assessment of Financial Security Social insurance: Age
en | de | |
---|---|---|
1 | [1] Very Good | [1] Sehr gut |
2 | [2] Good | [2] Gut |
3 | [3] Fair | [3] Befriedigend |
4 | [4] Poor | [4] Weniger gut |
5 | [5] Bad | [5] Schlecht |
6 | [6] Do not know/Does not apply | [6] Weiss nicht/Trifft nicht zu |
7 | [7] 7 | [7] 7 |
8 | [8] 8 | [8] 8 |
-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: Assessment of Financial Security Social insurance: Age
German label: Bewertung fianzielle Absicherung Sozialversicherungen: Alter
bhp – Data from individual questionnaires 2017
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2017
Study: SOEP-Core
- The German social security system is split into different branches such as health care, unemployment insurance, pension insurance, and long-term care insurance. The system is designed to provide for people in need, illness, and old age. How would you evaluate your financial security in the following situations? - Old age
- The German social security system is split into different branches such as health care, unemployment insurance, pension insurance, and long-term care insurance. The system is designed to provide for people in need, illness, and old age. How would you evaluate your financial security in the following situations? - Old age
Measure | Value |
---|---|
valid | 26484 |
invalid | 6001 |
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.