Partner's occupation (V704)
Fichier de données: BFKR43FL
Aperçu
var_vald:
10429
var_invd:
216
var_min:
1
var_max:
91
var_intrvl:
discrete
var_dcml:
0
loc_width:
3
var_range:
1 - 91
var_format:
numeric
questions_n_instructions
var_catgry
| value | category | cases | |
|---|---|---|---|
| 1 | Agriculture | 8400 |
80.5%
|
| 10 | High level management in government sector | 5 |
0%
|
| 11 | High level management / administration / teachers in educati | 8 |
0.1%
|
| 12 | High level management / administration in health sector | 8 |
0.1%
|
| 13 | High level management in telecomunications / transport or co | 3 |
0%
|
| 14 | High level management in industrial and financial sector | 6 |
0.1%
|
| 15 | High level management in agriculture and mining | 8 |
0.1%
|
| 17 | High level management not elsewhere classified | 6 |
0.1%
|
| 20 | Mid level in goverment sector | 3 |
0%
|
| 21 | Mid level in education sector | 75 |
0.7%
|
| 22 | Mid level in health sector | 37 |
0.4%
|
| 23 | Mid level in telecomunications / transport or construction | 2 |
0%
|
| 24 | Mid level in industrial and financial sector | 5 |
0%
|
| 25 | Mid level in agriculture and mining | 4 |
0%
|
| 26 | Mid level in justice, information or foreign relations secto | 5 |
0%
|
| 30 | Lower level employee in agriculture and mining | 62 |
0.6%
|
| 31 | Lower level administrator industrie and financial sector | 34 |
0.3%
|
| 32 | Lower level in telecomunications / transport or construction | 10 |
0.1%
|
| 33 | Lower level in health sector | 11 |
0.1%
|
| 34 | Other lower level not elsewhere classified | 87 |
0.8%
|
| 40 | Trading | 679 |
6.5%
|
| 50 | Crafts / production of goods | 181 |
1.7%
|
| 51 | Arts | 18 |
0.2%
|
| 52 | Crafts in service sector | 303 |
2.9%
|
| 60 | Domestic and other personnel services | 316 |
3%
|
| 70 | Armed forces and security | 39 |
0.4%
|
| 80 | Other professions | 112 |
1.1%
|
| 90 | Without profession | 0 |
0%
|
| 91 | Student | 2 |
0%
|
| 999 | 62 | ||
| Sysmiss | 154 |
Avertissement: ces statistiques indiquent le nombre d'enregistrements trouvés dans les fichiers de données, et non des nombres pondérés. Ils ne peuvent pas être interpretés comme étant représentatifs de la population concernée.