GMB_2020_HFPS_v01_M
High Frequency Phone Survey 2020-2021
Name | Country code |
---|---|
Gambia, The | GMB |
Other Household Survey [hh/oth]
The Gambia High Frequency Phone Survey is a phone series survey. So far, 10 rounds of data were collected from a sample of households in The Gambia. In each round, the same set of respondents are called and interviewed on questions ranging from COVID-19 awareness, labor market participation, income loss, education of school going children, access to basic services, etc. The data is representative at national and strata (Banjul/Kanifing-i.e capital city area; other urban and rural areas) levels.
Sample survey data [ssd]
Households and individuals
Version 01: Edited, anonymized dataset for public distribution
2020-07-31
The Gambia High Frequency Phone Survey covered the following topics:
The sample comprised of households from across the country yielding data that is representative at national and strata levels.
Name |
---|
The World Bank |
Gambia Bureau of Statistics (GBoS) |
Name |
---|
The State and Peace Building Trust Fund- World Bank Executed |
Name | Affiliation | Role |
---|---|---|
Moritz Meyer | The World Bank | Team Member |
The sample is drawn from the Gambia Labor Force Survey (GLFS) collected in 2018. The GLFS data set has 5,987 households of which 5,531 (92 percent) have valid phone numbers. All households with valid phone numbers formed the population of households sampled for the HFPS. Data collection for the HFPS was conducted in ten-rounds and on a panel of about 1500 households. The first round of data collection was done in August 2020 using a sample of 1557 households, of which 1437 interviews were completed. Throughout the survey, the sample of households were stratified at three levels: the capital city areas- i.e Banjul and Kanifing area, other urban area and the rural area. By using population weights, data from the survey is representative at national and strata levels.
The response rate was high. Furthermore to minimize attrition overtime, participating households were given airtime as an incentive for participation.
The data was weighted with adjustments done after every round of data collection to account for non-response/attrition.
The questionnaires are developed by the team- comprising of GBoS, World Bank and the Ministry of Finance and Economic Affairs- with inputs from sector colleagues in the Bank. Core modules which are included in every round of data collection include- COVID-19, Labor market participation and income loss. Other modules (such as education, food insecurity, access to services, etc) are included based on events (such as lockdowns, re-opening/closing of schools, etc); and/or data demands.
Start | End | Cycle |
---|---|---|
2020-08-21 | 2020-09-09 | Round 1 |
2020-10-28 | 2020-11-14 | Round 2 |
2020-11-26 | 2020-12-24 | Round 3 |
2021-02-10 | 2021-02-22 | Round 4 |
2021-03-27 | 2021-04-13 | Round 5 |
2021-05-18 | 2021-06-03 | Round 6 |
2021-07-31 | 2021-08-15 | Round 7 |
2021-09-01 | 2021-09-16 | Round 8 |
2021-10-22 | 2021-11-06 | Round 9 |
2021-11-20 | 2021-12-15 | Round 10 |
Name | Affiliation |
---|---|
The Gambia Bureau of Statistics | GBoS |
The sample comprised of households from across the country yielding data that is representative at national and strata levels. The survey was conducted in several rounds of data collection beginning in August 2020 and ending in December 2021.
In each round of data collection, the same set of households are contacted. However, in some rounds, certain households were unreachable.
Is signing of a confidentiality declaration required? |
---|
yes |
Use of the dataset must be acknowledged using a citation which would include:
World Bank and Gambia Bureau of Statistics. The Gambia High Frequency Phone Survey (HFPS) 2020-2021. Ref: GMB_2020_HFPS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
Sering Touray | The World Bank | stouray@worldbank.org |
DDI_GMB_2020_HFPS_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Metadata Producer |
2021-12-06
Version 01 (December 2021)
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