High Frequency Survey: Wave 4 and Crisis Recovery Survey 2017
South Sudan, 2017
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
- assets
- food
- hhm
- hhm_analysis
- hhm_separated
- livestock
- mi-extract
- nonfood
- hhq_analysis
Quintiles for imputed consumption (quintiles_tc)
Data file: hhq_analysis
Overview
Valid:
9407
Invalid:
68
Minimum:
1
Maximum:
5
Type:
Discrete
Decimal:
0
Start:
1138
End:
1138
Width:
1
Range:
1 - 5
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Poorest Quintile | 1344 |
14.3%
|
| 2 | Q2 | 1535 |
16.3%
|
| 3 | Q3 | 1910 |
20.3%
|
| 4 | Q4 | 2013 |
21.4%
|
| 5 | Richest Quintile | 2605 |
27.7%
|
| Sysmiss | 68 |
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.