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    Home / Central Data Catalog / LSO_2014_CMS_V01_M / variable [F4]
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Continuous Multipurpose Survey 2014-2015

Lesotho, 2014 - 2015
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Reference ID
LSO_2014_CMS_v01_M
Producer(s)
Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
27047
Downloads
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  • Study Description
  • Data Dictionary
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  • Data files
  • First Quarter
    CMS 2014_2015
  • Fouth Quater
    CMS 2014_2015
  • Second Quarter
    CMS 20114_2015
  • Third Quarter
    CMS 2014_2015

Reasons dissatisfied with toilet - other specify (W47_SPEFICY)

Data file: Third Quarter CMS 2014_2015

Overview

Valid: 270
Invalid: 0
Type: Discrete
Start: 896
End: 928
Width: 33
Range: -
Format: character

Questions and instructions

Literal question
W47. We are dissatisfied with the toilet because ... Circle the most important reason - other specify
Categories
Value Category Cases
A TLA RUSA 20
7.4%
BROKEN SEAT 4
1.5%
BROKEN SEATS 2
0.7%
BROKEN SIT 4
1.5%
CARELESS 3
1.1%
DIRTY 4
1.5%
DOES NOT LOOK WELL 3
1.1%
DOOR 3
1.1%
E BOLILE KAHARE 1
0.4%
E KENA METSI 11
4.1%
E KHETSEMETSE 3
1.1%
E LETLAPENG 2
0.7%
E NKOA KE MOEA HA NGATA 10
3.7%
E SEKAME 7
2.6%
E SEKAME EKANNA EA OA 1
0.4%
EEA OELA 4
1.5%
HA EEA NTLAFATSOA 5
1.9%
HA EEA TIEA FATSE 7
2.6%
HAHONA LEMATI 9
3.3%
IN A PROCESS OF BUILDING IT 5
1.9%
IT HAS NO SEAT 8
3%
IT HAS ORDOUR 1
0.4%
IT IS NOT CLEAN 5
1.9%
LACK OF WATER 1
0.4%
LEAK SOMETIMES 2
0.7%
LEAKAGE 9
3.3%
LEAKING 1
0.4%
LEMATI KE MOSOAHLA 5
1.9%
NEARLY TO BE FULL 4
1.5%
NO DOOR 11
4.1%
NO PIPE SO IT SMELLS 7
2.6%
NOT CLEAN 3
1.1%
NOT ROOF 1
0.4%
NOT WELL BUILT 2
0.7%
O BATLA E SEKOTI SE HAUOENG 10
3.7%
OLD 4
1.5%
PIT NOT SAVE 6
2.2%
RUST 6
2.2%
RUSTED 4
1.5%
RUSTING 14
5.2%
SEAT COVER BROKEN 4
1.5%
SMALL SEATS 3
1.1%
SMELL 3
1.1%
STOEP TOO TALL 4
1.5%
THE MATERIAL THAT MADE THE LATRIN 4
1.5%
THE SLAB HAS CRACKED 3
1.1%
THEY HAE TO SHARE 1
0.4%
TOO SHAKY 8
3%
WANT VIP 21
7.8%
WRONG CONSTRUCTION 7
2.6%
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.
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