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    Home / Central Data Catalog / GMB_2020_HFPS_V01_M / variable [F10]
central

High Frequency Phone Survey 2020-2021

Gambia, 2020 - 2021
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Reference ID
GMB_2020_HFPS_v01_M
Producer(s)
The World Bank, Gambia Bureau of Statistics (GBoS)
Metadata
DDI/XML JSON
Created on
Jan 03, 2022
Last modified
Jan 03, 2022
Page views
38217
Downloads
1001
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • hhroster_wave1.dta
  • mktroster.dta
  • GAMBIA_COVID_19_weighted_cleaned_wave1.dta
  • income_loss.dta
  • s13shockroster.dta
  • s13q5.dta
  • hhroster_wave2_annonymized.dta
  • mktroster_wave2.dta
  • GAMBIA_COVID_19Wave2.dta
  • income_loss_wave2.dta
  • s3service_wave2.dta
  • hhroster_wave3_anonymised.dta
  • mktroster_wave3.dta
  • GAMBIA_COVID_19Wave3_cleaned_anonymised.dta
  • income_loss_wave3.dta
  • s3service_wave3.dta
  • hhroster_wave4_anonymised.dta
  • GAMBIA_COVID_19Wave4_anonymised.dta
  • informal
    employment_wave4.dta
  • hhroster_wave5.dta
  • GAMBIA_COVID_19Wave5_anonymised_weighted.dta
  • hhroster_wave6.dta
  • GAMBIA_COVID_19Wave6_anonymised_weighted.dta
  • hhroster_wave7.dta
  • GAMBIA_COVID_19Wave7_anonymised_weighted.dta
  • hhroster_wave8.dta
  • mktroster__wave8.dta
  • GAMBIA_COVID_19Wave8_weighted.dta
  • income_loss_wave8.dta
  • s3service__wave8.dta
  • hhroster_anonymised__wave9.dta
  • GAMBIA_COVID_19Wave9_weighted.dta
  • income_loss__wave9.dta
  • hhroster_anonymised_wave10.dta
  • GAMBIA_COVID_19Wave10_weighted.dta
  • income_loss_wave10.dta

Other(specify) (s3q19_oth)

Data file: GAMBIA_COVID_19Wave2.dta

Overview

Valid: 1385
Invalid: -
Type: Discrete
Start: 699
End: 873
Width: 175
Range: -
Format: character

Questions and instructions

Literal question
S3Q19. Why were you not able to access it? Other
Categories
Value Category Cases
1312
94.7%
Bad roads 1
0.1%
because of working hours. 1
0.1%
difficulty to have transport 2
0.1%
Due to expensive fares 1
0.1%
During working and closing hours. 1
0.1%
fares are being increased 1
0.1%
fares are increased 1
0.1%
fares went up. 1
0.1%
INCREASES IN FARES 1
0.1%
increment of fares 1
0.1%
is always difficult to get tranport from here 1
0.1%
is not easy to have transport around here 1
0.1%
lack of proper service because of commercial vehicles are less active during the morning and evening time in my area during which i am most in need of one than any other time. 1
0.1%
lack of transport. 1
0.1%
Lack of vehicles 1
0.1%
LESS COMMERCIAL VEHICLES 10
0.7%
LESS ECONOMIC ACTIVITY 1
0.1%
most of the vehicles are usually fully occupied before they could reach our boarding point due to the nature of our traffic. 1
0.1%
no seat available 1
0.1%
Not enough cars to transport people 1
0.1%
Over crowding of people in the vehicles 1
0.1%
paying a fee three times where it could have been paid only once. 1
0.1%
Poor road network 2
0.1%
Poor Road network 1
0.1%
POOR ROAD NETWORK 2
0.1%
Poor road network and traffic jam. 1
0.1%
poor road network during the rainy season. 1
0.1%
Poor Road network especially during the raining season. 1
0.1%
poor road network. 3
0.2%
Poor road network. 10
0.7%
price hikes for fares. 1
0.1%
REDUCED FREQUENCY 1
0.1%
single service daily within our area. 1
0.1%
Stratigic nature of our location. 1
0.1%
the fare has been increased 1
0.1%
The person forgot his face mask 1
0.1%
the road is bad n it makes it dfficult to have transport 1
0.1%
the road is too bad and because of that is difficult to get transport around our end 1
0.1%
there is no enough car for d public 1
0.1%
there no enough cars around here 1
0.1%
there not enough cars around here 1
0.1%
Traffic jam and lack of active service at my area. 1
0.1%
Traffic jam. 3
0.2%
traffic so dull 1
0.1%
vehicle hardly reached our village so we need to walk kms before we can access one. 1
0.1%
we are far from the main road and we have to struggle to get to the high way 1
0.1%
we dont have transport facility around us. we normally have travel to the next village 1
0.1%
we live far from the main highway. 1
0.1%
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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