Socio-economic assessment of IDPs and returnees in the five most populated settlements of Afghanistan's Herat Province - 2017
Afghanistan, 2017
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Reference ID
UNHCR_AFG_2017_SEA_Herat_v2.1
Producer(s)
UNHCR
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Created on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
- UNHCR_AFG_2017_SEA_Herat_v1.1
Vocational training interest 5 (q58e)
Data file: UNHCR_AFG_2017_SEA_Herat_v1.1
Overview
Valid:
384
Invalid:
10880
Type:
Discrete
Decimal:
0
Width:
27
Range:
101 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | agriculture (farming) | 6 |
1.6%
|
| 102 | livestock | 2 |
0.5%
|
| 103 | bee keeping | 9 |
2.3%
|
| 201 | labor | 0 |
0%
|
| 301 | production | 5 |
1.3%
|
| 401 | carpet waving | 1 |
0.3%
|
| 402 | tailoring | 26 |
6.8%
|
| 403 | gems and jewelry | 23 |
6%
|
| 404 | embroidery | 43 |
11.2%
|
| 405 | handicrafts | 13 |
3.4%
|
| 406 | furniture making | 3 |
0.8%
|
| 407 | stone carving | 3 |
0.8%
|
| 408 | masonry (semi-skilled) | 7 |
1.8%
|
| 409 | masonry (skilled) | 16 |
4.2%
|
| 410 | carpentry (semi-skilled) | 4 |
1%
|
| 411 | carpentry (skilled) | 1 |
0.3%
|
| 412 | electrician (semi-skilled) | 11 |
2.9%
|
| 413 | electrician (skilled) | 4 |
1%
|
| 414 | painter of building | 25 |
6.5%
|
| 501 | street vendor | 0 |
0%
|
| 502 | shop keeper | 51 |
13.3%
|
| 503 | vegetable and fruit selling | 0 |
0%
|
| 601 | teaching | 17 |
4.4%
|
| 602 | health worker | 8 |
2.1%
|
| 603 | transport / driver | 14 |
3.6%
|
| 604 | computer repair | 1 |
0.3%
|
| 605 | generator repair | 6 |
1.6%
|
| 606 | bicycle repair | 1 |
0.3%
|
| 607 | ac/refrigerator repair | 4 |
1%
|
| 608 | mobile repair | 8 |
2.1%
|
| 609 | electronic repair | 5 |
1.3%
|
| 610 | mechanic (auto) | 22 |
5.7%
|
| 611 | commission agent | 0 |
0%
|
| 612 | barber | 8 |
2.1%
|
| 613 | cart | 0 |
0%
|
| 614 | cooking | 0 |
0%
|
| 615 | musician | 0 |
0%
|
| 801 | office worker | 14 |
3.6%
|
| 901 | waste picking | 4 |
1%
|
| 999 | other | 19 |
4.9%
|
| Sysmiss | 10880 |
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.