Swiss Household Panel - Wave 17 - Individual questionnaire, Living in Switzerland
Switzerland, 2015 - 2016
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Reference ID
ch.sidos.ddi.932w17.6097
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
233713
- Data files
- 932_SHP15_P_W17
Highest level of education achieved, grid 19 codes (EDGR15)
Data file: 932_SHP15_P_W17
Overview
Valid:
16279
Invalid:
65
Minimum:
0
Maximum:
32
Type:
Discrete
Decimal:
0
Width:
12
Range:
-
Format:
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | incomplete compulsory school | 1724 |
10.5%
|
| 1 | compulsory school | 1791 |
11%
|
| 2 | elementary vocational training | 382 |
2.3%
|
| 3 | apprenticeship (CFC, EFZ) | 4999 |
30.6%
|
| 4 | full-time vocational school | 431 |
2.6%
|
| 5 | vocational maturity | 280 |
1.7%
|
| 6 | general training school | 149 |
0.9%
|
| 7 | bachelor/maturity (high school) | 694 |
4.2%
|
| 8 | domestic science course, 1 year school of commerce | 241 |
1.5%
|
| 12 | vocational high school with master certificate, federal cert | 802 |
4.9%
|
| 13 | technical or vocational school | 200 |
1.2%
|
| 14 | vocational high school ETS, HTL etc. | 616 |
3.8%
|
| 15 | university, academic high school, EPF, ETH | 1943 |
11.9%
|
| 16 | university of teacher education HEP, PH | 167 |
1%
|
| 17 | university of applied sciences HES, FH | 641 |
3.9%
|
| 18 | teacher training college | 293 |
1.8%
|
| 30 | not yet school age | 666 |
4.1%
|
| 31 | pre-obligatory schooling | 235 |
1.4%
|
| 32 | specialized school for handicapped | 25 |
0.2%
|
| -8 | other error | 0 |
0%
|
| -7 | filter error | 0 |
0%
|
| -3 | inapplicable | 0 |
0%
|
| -2 | no answer | 22 |
0.1%
|
| -1 | does not know | 43 |
0.3%
|
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.