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hl/hlc0006_h: [de] HH-Nettoeinkommensgruppen [harmonisiert]
| en | de | |
|---|---|---|
| 1 | [1] [de] < 750 | [1] < 750 |
| 2 | [2] [de] > 750 und < 1500 | [2] > 750 und < 1500 |
| 3 | [3] [de] > 1500 und < 2500 | [3] > 1500 und < 2500 |
| 4 | [4] [de] > 2500 und < 3500 | [4] > 2500 und < 3500 |
| 5 | [5] [de] > 3500 und < 5000 | [5] > 3500 und < 5000 |
| 6 | [6] [de] > 5000 | [6] > 5000 |
| 21 | [21] [de] ( < 1500) weniger oder mehr als 750 = KA | [21] ( < 1500) weniger oder mehr als 750 = KA |
| 31 | [31] [de] ( > 1500) weniger oder mehr als 2500 = KA | [31] ( > 1500) weniger oder mehr als 2500 = KA |
| 41 | [41] [de] ( > 2500) weniger oder mehr als 3500 = KA | [41] ( > 2500) weniger oder mehr als 3500 = KA |
| 51 | [51] [de] ( > 3500) weniger oder mehr als 5000 = KA | [51] ( > 3500) weniger oder mehr als 5000 = KA |
| -1 | [-1] No answer | [-1] keine Angabe |
| -2 | [-2] Does not apply | [-2] trifft nicht zu |
| -3 | [-3] Implausible value | [-3] unplausibler Wert |
| -4 | [-4] Inadmissable 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 eingeschraenkter Edition verfuegbar |
| -8 | [-8] Question this year not part of survey | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
No concept available.
English label: [de] HH-Nettoeinkommensgruppen [harmonisiert]
German label: HH-Nettoeinkommensgruppen [harmonisiert]
hl – Variables from the Household Question Module
Analysis Unit : Household
Dataset Type: Original
Period: 0
Attachments:
Study: SOEP-IS
Step 1: The variable hlc0006_h is replaced by the variable hlc0006_v1 for the years 1999 to 2000. Step 2: The variable hlc0006_v2 is recoded (12=21) (13=31) (14=41) (15=51) for the years 2001 to 2002 and subsequently integrated into the harmonized variable hlc0006_h. Step 3: The variable hlc0006_h is replaced by the variable hlc0006_v3 for the years 2003 to 2020. Step 4: The variable hlc0006_h is replaced with 1 for the year 2022, if hlc0006_v5 is 1. Step 5: The variable hlc0006_h is replaced with 2 for the year 2022, if hlc0006_v5 is 2. Step 6: The variable hlc0006_h is replaced with 3 for the year 2022, if hlc0006_v6 is 1. Step 7: The variable hlc0006_h is replaced with 4 for the year 2022, if hlc0006_v6 is 2 and hlc0006_v7 is 1. Step 8: The variable hlc0006_h is replaced with 5 for the year 2022, if hlc0006_v6 is 2 and hlc0006_v7 is 2 and hlc0006_v8 is 1. Step 9: The variable hlc0006_h is replaced with 6 for the year 2022, if hlc0006_v6 is 2 and hlc0006_v7 is 2 and hlc0006_v8 is 2. Step 10: The variable hlc0006_h is replaced with 21 for the year 2022, if hlc0006_v4 is 1 and hlc0006_v5 is -1. Step 11: The variable hlc0006_h is replaced with 31 for the year 2022, if hlc0006_v4 is 2 and hlc0006_v6 is -1. Step 12: The variable hlc0006_h is replaced with 41 for the year 2022, if hlc0006_v6 is 2 and hlc0006_v7 is -1. Step 13: The variable hlc0006_h is replaced with 51 for the year 2022, if hlc0006_v6 is 2 and hlc0006_v7 is 2 and hlc0006_v8 is -1. Step 14: The variable hlc0006_h is replaced with -2 for the year 2022, if hlc0006_v4 does not apply to the person asked and hlc0006_v5 does not apply to the person asked and hlc0006_v6 does not apply to the person asked and hlc0006_v7 does not apply to the person asked and hlc0006_v8 does not apply to the person asked. Step 15: The variable hlc0006_h is replaced with -5 for the year 2022, if hlc0006_v4 is not included in that version of the questionnaire and hlc0006_v5 is not included in that version of the questionnaire and hlc0006_v6 is not included in that version of the questionnaire and hlc0006_v7 is not included in that version of the questionnaire and hlc0006_v8 is not included in that version of the questionnaire. Step 16: The variable hlc0006_h is replaced with -1 for the year 2022, if hlc0006_v4 is -1.
| Measure | Value |
|---|---|
| valid | 1899 |
| invalid | 46261 |
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.