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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Metadata
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
- UNHCR_AFG_2017_SEA_Herat_v1.1
Skill name 3 (q53b3)
Data file: UNHCR_AFG_2017_SEA_Herat_v1.1
Overview
Valid:
222
Invalid:
11042
Type:
Discrete
Decimal:
0
Width:
27
Range:
101 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | agriculture (farming) | 25 |
11.3%
|
| 102 | livestock | 6 |
2.7%
|
| 103 | bee keeping | 5 |
2.3%
|
| 201 | labor | 0 |
0%
|
| 301 | production | 0 |
0%
|
| 401 | carpet waving | 7 |
3.2%
|
| 402 | tailoring | 13 |
5.9%
|
| 403 | gems and jewelry | 2 |
0.9%
|
| 404 | embroidery | 13 |
5.9%
|
| 405 | handicrafts | 3 |
1.4%
|
| 406 | furniture making | 0 |
0%
|
| 407 | stone carving | 0 |
0%
|
| 408 | masonry (semi-skilled) | 13 |
5.9%
|
| 409 | masonry (skilled) | 20 |
9%
|
| 410 | carpentry (semi-skilled) | 4 |
1.8%
|
| 411 | carpentry (skilled) | 3 |
1.4%
|
| 412 | electrician (semi-skilled) | 1 |
0.5%
|
| 413 | electrician (skilled) | 0 |
0%
|
| 414 | painter of building | 6 |
2.7%
|
| 501 | street vendor | 0 |
0%
|
| 502 | shop keeper | 18 |
8.1%
|
| 503 | vegetable and fruit selling | 0 |
0%
|
| 601 | teaching | 0 |
0%
|
| 602 | health worker | 3 |
1.4%
|
| 603 | transport / driver | 2 |
0.9%
|
| 604 | computer repair | 3 |
1.4%
|
| 605 | generator repair | 2 |
0.9%
|
| 606 | bicycle repair | 4 |
1.8%
|
| 607 | ac/refrigerator repair | 0 |
0%
|
| 608 | mobile repair | 1 |
0.5%
|
| 609 | electronic repair | 2 |
0.9%
|
| 610 | mechanic (auto) | 8 |
3.6%
|
| 611 | commission agent | 0 |
0%
|
| 612 | barber | 0 |
0%
|
| 613 | cart | 0 |
0%
|
| 614 | cooking | 0 |
0%
|
| 615 | musician | 0 |
0%
|
| 801 | office worker | 4 |
1.8%
|
| 901 | waste picking | 2 |
0.9%
|
| 999 | other | 52 |
23.4%
|
| Sysmiss | 11042 |
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.