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    Home / Central Data Catalog / HFPS / GMB_2020_HFPS_V01_M / variable [F36]
hfps

High Frequency Phone Survey 2020-2021

Gambia, 2020 - 2021
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Reference ID
GMB_2020_HFPS_v01_M
DOI
https://doi.org/10.48529/sdnd-s813
Producer(s)
The World Bank, Gambia Bureau of Statistics (GBoS)
Collection(s)
High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 13, 2021
Last modified
Dec 20, 2021
Page views
155051
Downloads
6772
  • Study Description
  • Data Description
  • Documentation
  • 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

Specify (other) (s6q7_oth)

Data file: GAMBIA_COVID_19Wave10_weighted.dta

Overview

Valid: 886
Invalid: -
Type: Discrete
Start: 646
End: 727
Width: 82
Range: -
Format: character

Questions and instructions

Literal question
Q7. What are the THREE main challenges you experienced during the COVID-19 pandemic?
- Specify (other)
Categories
Value Category Cases
844
95.3%
##N/A## 1
0.1%
A big blow to the tourism industry. 1
0.1%
ban on public gathering i.e funeral, weddings etc. 1
0.1%
Banned on travelling. 1
0.1%
Bias way of sharing public aids. 1
0.1%
Buying detergent for hand washing 1
0.1%
difficult in having access to second hand clothing sent to us from abroad. 1
0.1%
disstabled the fish industry. 1
0.1%
Emotional and psychological stress 1
0.1%
emotional and psychological stress. 1
0.1%
Emotional stress 5
0.6%
EMOTIONAL STRESS 1
0.1%
Emotional stress because of the Virus... 1
0.1%
Emotional stress. 1
0.1%
Fear factor of being infected. 1
0.1%
finical constraints 1
0.1%
high rental prices 1
0.1%
interrupted most of our farming activities which is our main source of livelihood. 1
0.1%
Lack of money 2
0.2%
Lack of money. 1
0.1%
LESS ECONOMIC ACTIVITY 2
0.2%
limited families interaction 1
0.1%
Lose of employment. 1
0.1%
Lost of job. 1
0.1%
low income 2
0.2%
No access to work place. 1
0.1%
not working currently 1
0.1%
Psychological and emotional stress. 1
0.1%
remitance was stopped 1
0.1%
remittance reduced 1
0.1%
Too much sudden deads 1
0.1%
Travel ban 1
0.1%
Travel ban. 1
0.1%
Water problem 1
0.1%
Wearing of face mask 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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