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hl/hlf0091_v1: [de] Monatliche Nebenkosten (DM) [1984-1999]
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] Monatliche Nebenkosten (DM) [1984-1999]
German label: Monatliche Nebenkosten (DM) [1984-1999]
hl – Data from household questionnaires (long)
Analysis Unit : Household
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- How high are the monthly costs for water, waste disposal, and street cleaning, excluding heat and maintenance? - Mark per month:
- How high are the monthly costs for water, waste disposal, and street cleaning -do not include heating or maintenance costs? - DM per month
- And how high are the monthly costs for water, waste disposal, and street cleaning, excluding costs for hot water and heating? - DM per month
- And how high are the monthly costs for water, waste disposal, street cleaning, etc. excluding heating and maintenance costs? - DM
- And how high are the monthly costs for water, waste disposal, street cleaning, etc. excluding heating and maintenance costs? - DM
Measure | Value |
---|---|
Min. | 0.0 |
1st Qu. | 60.0 |
Median | 100.0 |
Mean | 133.41873658837707 |
3rd Qu. | 160.0 |
Max. | 9999.0 |
valid | 34019 |
invalid | 415255 |
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.