Skills Profile Survey 2017, A Refugee and Host Community Survey
Ethiopia, 2017
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
-
CleanInput -
assets -
CleanInput -
exchange_rate -
CleanInput -
food -
CleanInput -
food_quant_pc - CleanInput - hh
-
CleanInput -
hhm -
CleanInput -
hhm_separated -
CleanInput -
livestock -
CleanInput -
nfood -
CleanInput -
nfood_constraints -
CleanInput -
nfood_constraints_pc -
CleanOutput -
assets -
CleanOutput -
food -
CleanOutput -
hhm -
CleanOutput -
hhq -
CleanOutput -
mi-extract -
CleanOutput -
nonfood
C.78 What was the household's main source of livelihood in %orig_c_text%? (C_78_lhood_prev)
Data file: CleanInput - hh
Overview
Valid:
3580
Invalid:
1737
Minimum:
1
Maximum:
1000
Type:
Discrete
Decimal:
0
Start:
946
End:
949
Width:
4
Range:
1 - 1000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Salary | 358 |
10%
|
| 2 | Casual labor/Dayly labourer | 143 |
4%
|
| 3 | Crop production (Temporary and/permanent crops) | 1043 |
29.1%
|
| 4 | Livestock (inc. Poultry and Bee | 237 |
6.6%
|
| 5 | Crop and Livestock (at comparable level) | 1022 |
28.5%
|
| 6 | Manufacturing, Construction and Mining & Quarry Industry FORMAL SECTOR | 11 |
0.3%
|
| 7 | Manufacturing, Construction and Mining & Quaring INFORMAL SECTOR | 4 |
0.1%
|
| 8 | Wholesale sale & Retail Trade - FORMAL SECTOR | 24 |
0.7%
|
| 9 | Wholesal sale & Retail Trade - INFORMAL SECTOR | 38 |
1.1%
|
| 10 | Service Trade - FORMAL SECTOR | 47 |
1.3%
|
| 11 | Service Trade - INFORMAL SECTOR | 46 |
1.3%
|
| 12 | Renting of House, Land/Plot, Equipment, Machinary, Storage and Drought animals | 5 |
0.1%
|
| 13 | Social Security (Pension and other) | 2 |
0.1%
|
| 14 | Donation from Gov't and/NGO's/ humanitarian aid | 443 |
12.4%
|
| 15 | Remittances- Regulary from Hhs, Family/Individuals | 99 |
2.8%
|
| 16 | Begging (Alimony) | 1 |
0%
|
| 17 | Prostitution | 0 |
0%
|
| 1000 | Other (Please specify) | 57 |
1.6%
|
| Sysmiss | 1737 |
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.