High Frequency Survey: Wave 4 and Crisis Recovery Survey 2017

South Sudan, 2017
Central

South Sudan National Bureau of Statistics

CSV JSON

C.49 Toilet Type Pre-Displacement (sanitation_disp)

Data file: hhq_analysis

Overview

Valid: 2478

Invalid: 6997

Minimum: 1

Maximum: 4

Type: Discrete

Decimal: 0

Width: 4

Range: 1 - 1000

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Bush	204	8.2%
2	Portable Recepticle	87	3.5%
3	Pit Latrine	1652	66.7%
4	Flush	535	21.6%
1000	Other	0	0%
Sysmiss		6997

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.