hbrutt10/babula: Federal State

000001801992163901522273997312901138373615197110385521328302004006008001,0001,2001,4001,6001,800[-7] Only available in less re...[-6] Version of questionnaire ...[-5] Not included in this vers...[-4] Inadmissible multiple res...[-3] Answer improbable[-2] Does not apply[-1] No Answer[16] Thuringia[15] Saxony-Anhalt[14] Saxony[13] Mecklenburg-West Pomerani...[12] Brandenburg[11] Berlin[10] Saarland[9] Bavaria[8] Baden-Wuerttemberg[7] Rhineland-Palatinate, Saar...[6] Hesse[5] North Rhine-Westphalia[4] Bremen[3] Lower Saxony[2] Hamburg[1] Schleswig-Holstein
Value Labels
en de
1 [1] Schleswig-Holstein [1] Schleswig - Holstein
2 [2] Hamburg [2] Hamburg
3 [3] Lower Saxony [3] Niedersachsen
4 [4] Bremen [4] Bremen
5 [5] North Rhine-Westphalia [5] Nordrhein-Westfalen
6 [6] Hesse [6] Hessen
7 [7] Rhineland-Palatinate, Saarland [7] Rheinl.-Pfalz, Saarl.
8 [8] Baden-Wuerttemberg [8] Baden-Wuerttemberg
9 [9] Bavaria [9] Bayern
10 [10] Saarland [10] Saarland
11 [11] Berlin [11] Berlin
12 [12] Brandenburg [12] Brandenburg
13 [13] Mecklenburg-West Pomerania [13] Mecklenburg-Vorpommern
14 [14] Saxony [14] Sachsen
15 [15] Saxony-Anhalt [15] Sachsen-Anhalt
16 [16] Thuringia [16] Thueringen
-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
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Info

babula

federal state

English label: Federal State

German label: Bundesland


hbrutt10 – Initial gross population (first wave 2010)

Analysis Unit : Household

Dataset Type: Tracking Data

Period: 2010


Study: SOEP-Core

Statistics
Measure Value
valid 8497
invalid 18

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.


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