High Frequency Survey: Wave 4 and Crisis Recovery Survey 2017
South Sudan, 2017
Get Microdata
Reference ID
SSD_2017_HFS-W4-CRS_v01_M
Producer(s)
South Sudan National Bureau of Statistics
Collection(s)
Metadata
Created on
Dec 13, 2018
Last modified
Dec 14, 2018
Page views
84860
Downloads
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- Data files
- assets
- food
- hhm
- hhm_analysis
- hhm_separated
- livestock
- mi-extract
- nonfood
- hhq_analysis
C.1 What kind of structure does this household live in? (housingtype)
Data file: hhq_analysis
Overview
Valid:
5922
Invalid:
3553
Minimum:
1
Maximum:
12
Type:
Discrete
Decimal:
0
Start:
48
End:
50
Width:
3
Range:
-99 - 12
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Refused to respond | 0 |
0%
|
| -98 | Don't know | 0 |
0%
|
| 1 | Tent (including tarpaulin and canvas tents) | 1948 |
32.9%
|
| 3 | Tukul/gottiya - sticks | 1108 |
18.7%
|
| 4 | Tukul/gottiya - mud | 1740 |
29.4%
|
| 5 | Flat or apartment | 74 |
1.2%
|
| 6 | Villa | 14 |
0.2%
|
| 7 | House of one floor - mud | 561 |
9.5%
|
| 8 | House of one floor - brick/concrete | 435 |
7.3%
|
| 9 | House constructed of wood | 20 |
0.3%
|
| 10 | Multi-storey House | 2 |
0%
|
| 11 | Incomplete structure | 19 |
0.3%
|
| 12 | Garage, shop, workshop, or other structure not intended for habitation | 1 |
0%
|
| Sysmiss | 3553 |
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.