Value | Category | Cases | |
---|---|---|---|
1 | armed forces | 0 |
0%
|
11 | legislators and senior officials | 7 |
0.1%
|
12 | corporate managers | 18 |
0.2%
|
13 | general managers skilled agricultural and fishery workers | 0 |
0%
|
21 | physical, mathematical and engineering science professionals | 1 |
0%
|
22 | life science and health professionals | 1 |
0%
|
23 | teaching professionals | 37 |
0.5%
|
24 | other professionals craft and related trade workers | 22 |
0.3%
|
31 | physical and engineering science associate professionals | 2 |
0%
|
32 | life science and health associate professionals | 7 |
0.1%
|
33 | teaching associate professionals | 21 |
0.3%
|
34 | other associate professionals plant and machine operators and assemblers | 6 |
0.1%
|
41 | office clerks | 3 |
0%
|
42 | customer service clerks elementary occupations | 0 |
0%
|
51 | personal and protective service workers | 85 |
1.1%
|
52 | models, sales persons and demonstrators armed forces | 61 |
0.8%
|
61 | market oriented skilled agricultural and fishery workers | 59 |
0.8%
|
62 | subsistence agricultural and fishery workers | 6004 |
79%
|
71 | extraction and building trade workers | 11 |
0.1%
|
72 | metal, machinery and related trades workers | 4 |
0.1%
|
73 | precision, handicraft, printing and related trades workers | 12 |
0.2%
|
74 | other craft and related trades workers | 18 |
0.2%
|
81 | stationary plant and related operators | 1 |
0%
|
82 | machine operators and assemblers | 12 |
0.2%
|
83 | drivers and mobile plant operators | 19 |
0.2%
|
91 | sales and services elementary occupations | 448 |
5.9%
|
92 | agricultural, fishery and related labourers | 531 |
7%
|
93 | labourers in mining, construction, manufacturing and transport | 108 |
1.4%
|
97 | others | 0 |
0%
|
98 | dk/na | 106 |
1.4%
|
Sysmiss | 10144 |
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