Swiss Household Panel - Wave 18 - Individual questionnaire
Switzerland, 2016 - 2017
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Reference ID
ch.sidos.ddi.932w18.6097
Producer(s)
Robin Tillmann (PI) (a), Boris Wernli (a), Oliver Lipps (a), Ursina Kuhn (a), Valérie-Anne Ryser (a), Marieke Voorpostel (a), Erika Antal (a), Florence Lebert (a), Gian-Andrea Monsch (a), Nora Dasoki (a), Monica Budowski (former collaborator), Matthias Niklowitz (former collaborator), Annette
Collections
Created on
Nov 18, 2019
Last modified
Sep 01, 2022
Page views
354150
- Data files
- 932_SHP16_P_W18
Highest level of education achieved, grid + individual 17 codes (EDCAT16)
Data file: 932_SHP16_P_W18
Overview
Valid:
14106
Invalid:
855
Minimum:
0
Maximum:
16
Type:
Discrete
Decimal:
0
Width:
12
Range:
-
Format:
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | incomplete compulsory school | 1793 |
12%
|
| 1 | compulsory school | 1351 |
9%
|
| 2 | elementary vocational training | 271 |
1.8%
|
| 3 | domestic science course, 1 year school of commerce | 444 |
3%
|
| 4 | general training school | 135 |
0.9%
|
| 5 | apprenticeship (CFC, EFZ) | 4057 |
27.1%
|
| 6 | full-time vocational school | 476 |
3.2%
|
| 7 | vocational maturity | 274 |
1.8%
|
| 8 | teacher training college | 119 |
0.8%
|
| 9 | bachelor/maturity (high school) | 842 |
5.6%
|
| 10 | vocational high school with master certificate, federal cert | 910 |
6.1%
|
| 11 | technical or vocational school | 346 |
2.3%
|
| 12 | vocational high school ETS, HTL etc. | 591 |
4%
|
| 13 | university of teacher education HEP, PH | 127 |
0.8%
|
| 14 | university of applied sciences HES, FH | 488 |
3.3%
|
| 15 | university, academic high school, EPF, ETH | 1558 |
10.4%
|
| 16 | PhD | 324 |
2.2%
|
| -8 | other error | 0 |
0%
|
| -7 | filter error | 0 |
0%
|
| -6 | specialized school for handicapped | 20 |
0.1%
|
| -5 | pre-obligatory schooling | 197 |
1.3%
|
| -4 | not yet school age | 589 |
3.9%
|
| -3 | inapplicable | 0 |
0%
|
| -2 | no answer | 18 |
0.1%
|
| -1 | does not know | 31 |
0.2%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.