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    Home / Central Data Catalog / HFPS / GMB_2020_HFPS_V01_M / variable [F29]
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
150687
Downloads
6675
  • Study Description
  • Data Description
  • Documentation
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  • 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

3. Apart from the windstorm, what other event were you affected by the most in t (s28q3)

Data file: GAMBIA_COVID_19Wave8_weighted.dta

Overview

Valid: 1027
Invalid: 81
Minimum: 1
Maximum: 17
Type: Discrete
Decimal: 0
Start: 649
End: 650
Width: 2
Range: 1 - 17
Format: Numeric

Questions and instructions

Literal question
3. Apart from the windstorm, what other event were you affected by the most in the last two months ?
Categories
Value Category Cases
1 Floods 55
5.4%
2 Lack of adequate water 9
0.9%
3 Job loss of main provider 11
1.1%
4 High prices of agricultural inputs 42
4.1%
5 COVID19 Pandemic 4
0.4%
6 Serious illness or accident of a household member 12
1.2%
7 Death of a household member 1
0.1%
8 Fire 2
0.2%
9 Significant drop in prices for agricultural products 6
0.6%
10 High prices for agricultural inputs 57
5.6%
11 High food prices 728
70.9%
12 Regular transfers from relatives/friends stopped 1
0.1%
13 Significant loss of non-farm household income (other than due to accident or illness) 5
0.5%
14 Bankruptcy of a non-agricultural household business 2
0.2%
15 Significant loss of salary income (other than due to accident or illness) 1
0.1%
16 Loss of salaried employment of a member 4
0.4%
17 (Other specify) 87
8.5%
Sysmiss 81
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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