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    Home / Central Data Catalog / KEN_2018_VCCR_V01_M / variable [F1]
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Verification of Crowdsourced Crash Reports Survey 2018

Kenya, 2018
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Reference ID
KEN_2018_VCCR_v01_M
DOI
https://doi.org/10.48529/cvfz-sh05
Producer(s)
World Bank Group
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 08, 2020
Last modified
Dec 08, 2020
Page views
3052
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251
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  • crash_verification

Suggested landmark to travel to, provided by algorithm (suggested_landmark)

Data file: crash_verification

Overview

Valid: 73
Invalid: 0
Type: Discrete
Start: 16
End: 32
Width: 17
Range: -
Format: character

Questions and instructions

Literal question
Suggested landmark to travel to, provided by algorithm
Categories
Value Category Cases
NO LANDMARK 9
12.3%
airport junction 1
1.4%
airtel 2
2.7%
allsops 1
1.4%
alsops 1
1.4%
avic 1
1.4%
bangladesh 1
1.4%
belle vue 2
2.7%
cabanas 1
1.4%
capital centre 1
1.4%
city cabanas 1
1.4%
commercial 1
1.4%
foot bridge 1
1.4%
gari 1
1.4%
gateway mall 4
5.5%
general motors 1
1.4%
gigiri 1
1.4%
githurai 1
1.4%
gm 1
1.4%
gsu 1
1.4%
hamza 1
1.4%
hilton garden 1
1.4%
hilton garden inn 1
1.4%
imara daima 1
1.4%
integrity centre 1
1.4%
james gicuru 1
1.4%
kangemi 1
1.4%
kapa 2
2.7%
karura forest 1
1.4%
kibera 1
1.4%
koja roundabout 1
1.4%
langata 1
1.4%
libra house 1
1.4%
mathare hospital 1
1.4%
mombasa cement 1
1.4%
muthaiga square 1
1.4%
muthangari 1
1.4%
nairobi school 1
1.4%
outering 2
2.7%
panari hotel 1
1.4%
panari sky 1
1.4%
pangani 2
2.7%
prison 1
1.4%
roysambu 2
2.7%
sabaki 1
1.4%
sacco 2
2.7%
safaricom 2
2.7%
standard 1
1.4%
stella 1
1.4%
uchumi 1
1.4%
uhuru 1
1.4%
utalii 1
1.4%
utawala 1
1.4%
valley 1
1.4%
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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