COVID-19 High Frequency Survey 2020-2022, Impacts of COVID-19 and Recovery in Georgia
Impacts of COVID-19 and Recovery in Georgia
Socio-Economic/Monitoring Survey [hh/sems]
Georgia is emerging from the COVID-19 crisis, but the pace of recovery may be different across space and sociodemographic groups. In addition, the war against Ukraine and sanctions on Russia is expected to hit economies around the globe, including Georgia. These profound impacts of the crises underscore the urgency of timely data and real-time analyses for countries to quickly and effectively mitigate the effects of the shock and lay the groundwork for future resilience. To support the Government emerge resiliently from these crises, the South Caucasus Poverty and Equity team at the World Bank has collaborated with various partners to collect series of high-frequency phone surveys (HFPSs) that can be used widely to monitor the evolution of the crises and its impacts on households and firms. These data and related materials are publicly available.
Partnering with the Swedish International Development Cooperation Agency (Sida) and 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. This will be the fifth round of the survey collected in March 2022.
Having reliable, timely data on poverty and inequality is critical to assess the distributional impact of COVID-19 and high inflation on households and to make near-real time evidence-based strategic decisions. Partnering with the Swedish International Development Cooperation Agency (Sida) and Caucasus Research Resource Centers (CRRC), the South Caucasus team in the Poverty and Equity Global Practice at the World Bank conducted a series of Georgia High Frequency Survey to monitor the impact of COVID-19 on households in Georgia. This fifth round of the survey is augmented by including questions on the impact of high inflation and possible gender gaps in time spent at home.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Individual (adult over age 18)
Version 04: Edited, anonymized dataset for public distribution
National coverage, representative at the national, rural/urban/Tbilisi-levels.
Producers and sponsors
Caucasus Research Resource Centers (CRRC)
The World Bank
The Swedish International Development Cooperation Agency
The survey 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 in each round with response rates around 40%.
Response rates were around 40%.
Weights were adjusted by post-stratification. Details are provided in the CRRC Fieldwork Report COVID 19 WB.
Dates of Data Collection
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Fieldwork personnel consisted of approximately 40 individuals in total. Details are provided in the CRRC Fieldwork Report.
Data Collection Notes
See CRRC Fieldwork Reports.
Caucasus Research Resource Center
The COVID-19 Georgia High Frequency Survey (GHFS) 2020-22 - 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. In wave 5, modules on inflation impact and time use were added.
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.
Alan Fuchs Tarlovsky
Natsuko Kiso Nozaki
Public Use Files
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).
Poverty and Equity Global Practice, The World Bank. COVID-19 Georgia High Frequency Survey (GHFS) Wave 1-5, 2020-2022. Ref. GEO_2020_HFS_v04_M. Dataset downloaded from [URL] on [date
Disclaimer and copyrights
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.
The World Bank
DDI Document ID
Development Data Group
Documentation of the Study
Date of Metadata Production
DDI Document version
Version 04 (May 2022). This is an update to the Georgia COVID-19 High Frequency Survey with the wave 5 dataset and documents.