COVID-19 High Frequency Phone Survey of Households Series

collection: series

About this Collection

The Inter-university Consortium for Political and Social Research (ICPSR) has partnered with the Center for Global Health Equity (CGHE), and the NSF-funded project, Sub-National Data Archive System for Social and Behavioral Data (SUNGEO), to pilot a process of data acquisition, integration and curation, transformation/harmonization and dissemination. The goal of this project was to better understand distributions and scales of vaccine hesitancy in select L(M)ICs by leveraging the archiving and metadata tools at ICPSR, and the data storage, geospatial data transformation, integration, visualization, and merging techniques as part of SUNGEO.

The collection of the World Bank’s High-Frequency Phone Surveys contain data from 2018 - 2021 related to agriculture, welfare monitoring, impacts of shocks/crises and more. Recent rounds of data collection were implemented to monitor the effects of COVID-19 on households. For additional information on these surveys, please visit the World Bank’s Microdata Library.

Studies

4 results

COVID-19 High Frequency Phone Survey of Households, Indonesia, 2020-2021

This study is part of an effort by the World Bank, which launched a quick-deploying high-frequency phone-monitoring survey of households to generate near real-time insights on the socio-economic impact of COVID-19 on households. The survey is part of a World Bank-supported global effort to support countries in their data collection efforts to monitor the impacts of COVID-19.
Partially restricted

COVID-19 High Frequency Phone Survey of Households, Kenya, 2020-2021

The World Bank in collaboration with the Kenya National Bureau of Statistics and the University of California, Berkeley conducted the Kenya COVID-19 Rapid Response Phone Survey (RRPS) to track the socioeconomic impacts of the COVID-19 pandemic and the recovery from it to provide timely data to inform policy. This collection contains information from seven waves of the COVID-19 RRPS, which was part of a panel survey that targeted Kenyan nationals and started in May 2020. The same households were interviewed every two months for five survey rounds in the first year of data collection and every four months thereafter, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques. Sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. The "WAVE" variable represents in which wave the households were interviewed in. All waves of this survey included information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge and vaccinations.

The data contain information from two samples of Kenyan households. The first sample is a randomly drawn subset of all households that were part of the 2015/16 Kenya Integrated Household Budget Survey (KIHBS) Computer-Assisted Personal Interviewing (CAPI) pilot and provided a phone number. The second was obtained through the Random Digit Dialing method, by which active phone numbers created from the 2020 Numbering Frame produced by the Kenya Communications Authority were randomly selected. The samples covered urban and rural areas and were designed to be representative of the population of Kenya using cell phones. The sample size for each completed wave was:

  • Wave 1: 4,061 Kenyan households
  • Wave 2: 4,492 Kenyan households
  • Wave 3: 4,979 Kenyan households
  • Wave 4: 4,892 Kenyan households
  • Wave 5: 5,854 Kenyan households
  • Wave 6: 5,765 Kenyan households
  • Wave 7: 5,633 Kenyan households

The collection is organized into three levels. The first level is the Household Level Data, which contains household level information. The 'HHID' variable uniquely identifies all households. The second level is the Adult Level Data, which contains data at the level of adult household members. Each adult in a household is uniquely identified by the 'ADULT_ID' variable. The third level is the Child Level Data, which contains information for every child in the household. Each child in a household is uniquely identified by the 'CHILD_ID' variable.

COVID-19 High Frequency Phone Survey of Households, Malawi, 2020-2021

Malawi High-Frequency Phone Survey COVID-19 (HFPS COVID-19) was implemented by the National Statistical Office (NSO) on a monthly basis during the period of May 2020 and June 2021. The survey is part of a World Bank-supported global effort to support countries in their data collection efforts to monitor the impacts of COVID-19. The financing for data collection and technical assistance in support of the Malawi HFPS COVID-19 is provided by the United States Agency for International Development (USAID) and the World Bank.