COVID-19 High Frequency Survey 2020-2021
Georgia, 2020 - 2021
Poverty and Equity Global Practice
Created on
September 08, 2021
Last modified
September 08, 2021
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Identification
Survey ID Number
GEO_2020_HFS_v03_M
Title
COVID-19 High Frequency Survey 2020-2021
Country/Economy
| Name | Country code |
|---|---|
| Georgia | GEO |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
Partnering with the Caucasus Research Resource Centers (CRRC), the South Caucasus team in the Poverty and Equity Global Practice at the World Bank conducted a series of COVID-19 Georgia High Frequency Survey to monitor the impact of COVID-19 on households in Georgia. The first wave was collected in Dec 2020, followed by wave 2 collected in Jan/Feb 2021, wave 3 in March 2021, and the fourth wave was collected in June 2021.
Abstract
Having reliable, timely data on poverty and inequality is critical to assess the distributional impact of COVID-19 on households and to make near-real time evidence-based strategic decisions. Partnering with the Caucasus Research Resource Centers (CRRC), the South Caucasus team in the Poverty and Equity Global Practice at the World Bank conducted a series of COVID-19 Georgia High Frequency Survey to monitor the impact of COVID-19 on households in Georgia. This series is designed so that it also serves as the follow-up to the COVID-19 Monitor (waves 1-6) conducted between late April and early June 2020.
COVID-19 GHFSs allow one not only to monitor the COVID-19 impacts on the households but also capture the impact on poverty and a shift in households’ status from poor to non-poor due to COVID-19 pandemic. COVID-19 GHFS does not collect consumption data but collects poverty correlates, such as household’s demography, ownership of assets and access to services which could then be converted to poverty statistics using estimation models with relevant statistical modelling.
COVID-19 GHFSs allow one not only to monitor the COVID-19 impacts on the households but also capture the impact on poverty and a shift in households’ status from poor to non-poor due to COVID-19 pandemic. COVID-19 GHFS does not collect consumption data but collects poverty correlates, such as household’s demography, ownership of assets and access to services which could then be converted to poverty statistics using estimation models with relevant statistical modelling.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Individual (adult over age 18)
Version
Version Description
Version 03: Edited, anonymized dataset for public distribution
Version Date
2021-06-09
Version Notes
Wave 1 data has been updated.
Scope
Notes
The Georgia COVID-19 High Frequency Survey (GHFS) 2020-21 covered the following topics:
- Household Identification (Wave 1, 2, 3, 4)
- Household Demographics (Wave 1, 2, 3, 4)
- Assets and Access to Internet (Wave 1, 2, 3, 4)
- Prevalence of COVID-19 (Wave 1, 2, 3, 4)
- Distance Learning (Wave 1, 2, 3, 4)
- Employment Dynamics (Wave 1, 2, 3, 4)
- Income (Wave 1, 2, 3, 4)
- Food Security (Wave 1, 2, 3, 4)
- Shocks and Coping Strategies (Wave 1, 2, 3)
- Vaccine (Wave 1, 2, 3, 4)
- Remittances (Wave 2, 3, 4)
- Perception (Wave 1, 2, 3, 4)
- Household Identification (Wave 1, 2, 3, 4)
- Household Demographics (Wave 1, 2, 3, 4)
- Assets and Access to Internet (Wave 1, 2, 3, 4)
- Prevalence of COVID-19 (Wave 1, 2, 3, 4)
- Distance Learning (Wave 1, 2, 3, 4)
- Employment Dynamics (Wave 1, 2, 3, 4)
- Income (Wave 1, 2, 3, 4)
- Food Security (Wave 1, 2, 3, 4)
- Shocks and Coping Strategies (Wave 1, 2, 3)
- Vaccine (Wave 1, 2, 3, 4)
- Remittances (Wave 2, 3, 4)
- Perception (Wave 1, 2, 3, 4)
Coverage
Geographic Coverage
National coverage, representative at the national-, rural/urban/Tbilisi-levels.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Poverty and Equity Global Practice | The World Bank |
Producers
| Name | Role |
|---|---|
| Caucasus Research Resource Centers | Data Collection |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| The World Bank | WB |
Sampling
Sampling Procedure
The COVID-19 GHFS is based on phone-interviews with application of Computer Assisted Telephone Interviews (CATI) and random digit dialing (RDD). The sampling frame is representative of the national and rural/urban/Tbilisi population. Around 2000 valid interviews were concluded with response rates around 40% in each round.
Response Rate
Response rates were around 40%.
Weighting
Weights were adjusted by post-stratification. Details are provided in the CRRC Fieldwork Report COVID 19 WB.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-12-18 | 2020-12-24 | Wave 1 |
| 2021-01-27 | 2021-02-01 | Wave 2 |
| 2021-03-24 | 2021-03-30 | Wave 3 |
| 2021-06-02 | 2021-06-09 | Wave 4 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Supervision
Fieldwork personnel consisted of approximately 40 individuals in total. Details are provided in the CRRC Fieldwork Report.
Data Collection Notes
See CRRC Fieldwork Reports.
Data Collectors
| Name | Abbreviation |
|---|---|
| Caucasus Research Resource Center | CRRC |
Questionnaires
Questionnaires
The COVID-19 Georgia High Frequency Survey (GHFS) 2020-21 - wave 1 comprises following modules: 1 - Household Identification, 2 - Household Demographics, 3 - Assets and Access to Internet, 4 - Prevalence of COVID-19, 5 - Distance Learning, 6 - Employment Dynamics, 7 - Income, 8 - Food Security, 9 - Shocks and Coping Strategies, 10 - Vaccine, 11 - Perception. In waves 2, 3, and 4, module on remittances was added. In wave 4, module on shocks and coping strategies was dropped, but question on job disruption was added.
Data Processing
Data Editing
Data cleaning was carried out to identify and, where possible, correct inconsistencies. In addition, open-ended questions with textual responses were recoded so that these answers matched numeric codes. With CATI, the cleaning process was straightforward: pre-programmed questionnaire forms helped to eliminate ambiguous codes from being entered in the dataset. Also, the form did not accept errors related to selecting more values than permitted in the questionnaire. Additional protocols for data cleaning are summarized in the CRRC Fieldwork Report.
Other Processing
Census data was used to calculate poststratification weights for individuals and households. For individual level weights national data on adult population by settlement type (Capital Urban or Rural) , ethnicity (Georgian or other), age group (18-34, 35-54 and 55+), sex, and education (secondary or lower, vocational, and higher) were used. Census data on the average household size and number of households was used to calculate post stratification household weights.
CRRC-Georgia conducted a back check of 10% of the interviews after the fieldwork. The backcheck fieldwork was conducted on December 23-25, 2020 simultaneously with the fieldwork. The backcheck fieldwork personnel consisted of 1 interviewer. The backcheck showed that interviews were conducted properly and only two of them were removed, one respondent was not eligible because of the age and one number was not registered.
Back check interviews were selected using RAND() function in excel one day before the fieldwork was over. In sum, 200 interviews were selected and checked.
CRRC-Georgia conducted a back check of 10% of the interviews after the fieldwork. The backcheck fieldwork was conducted on December 23-25, 2020 simultaneously with the fieldwork. The backcheck fieldwork personnel consisted of 1 interviewer. The backcheck showed that interviews were conducted properly and only two of them were removed, one respondent was not eligible because of the age and one number was not registered.
Back check interviews were selected using RAND() function in excel one day before the fieldwork was over. In sum, 200 interviews were selected and checked.
Access policy
Access authority
| Name | Affiliation | URL |
|---|---|---|
| Microdata Library | World Bank | microdata.worldbank.org |
Contacts
| Name | Affiliation | |
|---|---|---|
| Alan Fuchs Tarlovsky | WBG | afuchs@worldbank.org |
| Natsuko Kiso Nozaki | WBG | nkiso@worldbank.org |
Access conditions
Public Use Files
Citation requirements
The use of the datasets must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name);
- the full title of the survey and its acronym (when available), and the year(s) of implementation;
- the survey reference number;
- the source and date of download (for datasets disseminated online).
Example:
Poverty and Equity Global Practice, The World Bank. COVID-19 Georgia High Frequency Survey (GHFS) Wave 1-4, 2020-2021. Ref. GEO_2020_HFS_v03_M. Dataset downloaded from [URL] on [date
- the identification of the Primary Investigator (including country name);
- the full title of the survey and its acronym (when available), and the year(s) of implementation;
- the survey reference number;
- the source and date of download (for datasets disseminated online).
Example:
Poverty and Equity Global Practice, The World Bank. COVID-19 Georgia High Frequency Survey (GHFS) Wave 1-4, 2020-2021. Ref. GEO_2020_HFS_v03_M. Dataset downloaded from [URL] on [date
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector 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.
Copyright
The World Bank
Metadata production
DDI Document ID
DDI_GEO_2020_HFS_v03_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | World Bank | DECDG | Documentation of the Study |
Date of Metadata Production
2021-08-23
DDI Document version
Version 03 (August 2021). This is an update to the Georgia COVID-19 High Frequency Survey with the wave 4 dataset and documents.