Partner's occupation (V704)
Fichier de données: BFIR43FL
Aperçu
var_vald:
9948
var_invd:
2529
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 | 7681 |
77.2%
|
| 10 | High level management in government sector | 6 |
0.1%
|
| 11 | High level management / administration / teachers in educati | 18 |
0.2%
|
| 12 | High level management / administration in health sector | 11 |
0.1%
|
| 13 | High level management in telecomunications / transport or co | 7 |
0.1%
|
| 14 | High level management in industrial and financial sector | 16 |
0.2%
|
| 15 | High level management in agriculture and mining | 7 |
0.1%
|
| 17 | High level management not elsewhere classified | 6 |
0.1%
|
| 20 | Mid level in goverment sector | 4 |
0%
|
| 21 | Mid level in education sector | 92 |
0.9%
|
| 22 | Mid level in health sector | 43 |
0.4%
|
| 23 | Mid level in telecomunications / transport or construction | 6 |
0.1%
|
| 24 | Mid level in industrial and financial sector | 15 |
0.2%
|
| 25 | Mid level in agriculture and mining | 14 |
0.1%
|
| 26 | Mid level in justice, information or foreign relations secto | 7 |
0.1%
|
| 30 | Lower level employee in agriculture and mining | 55 |
0.6%
|
| 31 | Lower level administrator industrie and financial sector | 48 |
0.5%
|
| 32 | Lower level in telecomunications / transport or construction | 15 |
0.2%
|
| 33 | Lower level in health sector | 13 |
0.1%
|
| 34 | Other lower level not elsewhere classified | 112 |
1.1%
|
| 40 | Trading | 667 |
6.7%
|
| 50 | Crafts / production of goods | 186 |
1.9%
|
| 51 | Arts | 15 |
0.2%
|
| 52 | Crafts in service sector | 327 |
3.3%
|
| 60 | Domestic and other personnel services | 389 |
3.9%
|
| 70 | Armed forces and security | 73 |
0.7%
|
| 80 | Other professions | 111 |
1.1%
|
| 90 | Without profession | 0 |
0%
|
| 91 | Student | 4 |
0%
|
| 999 | 94 | ||
| Sysmiss | 2435 |
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.