High Frequency Survey 2015, Wave 1
South Sudan, 2015
Get MicrodataCreated on
Jun 26, 2017
Last modified
Jun 26, 2017
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Quintiles for imputed consumption (quintiles_tc)
Data file: hhq
Overview
Valid:
3505
Invalid:
45
Minimum:
1
Maximum:
5
Type:
Discrete
Decimal:
0
Start:
566
End:
566
Width:
1
Range:
1 - 5
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Poorest Quintile | 602 |
17.2%
|
| 2 | Q2 | 514 |
14.7%
|
| 3 | Q3 | 669 |
19.1%
|
| 4 | Q4 | 744 |
21.2%
|
| 5 | Richest Quintile | 976 |
27.8%
|
| Sysmiss | 45 |
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.
Imputation and derivation
Derivation
Quintiles for imputed consumption, calculated based on “tc_imp”.