Summary information
Study title
Household Appliance Ownership and Electricity Consumption in Ghana
Creator
Twerefou, Daniel Kwabena (Department of Economics, University of Ghana)
Study number / PID
2023-283-1 (SND)
MS-956 (gu.se)
https://doi.org/10.5878/pkjc-fc59 (DOI)
Data access
Restricted
Series
Not available
Abstract
The data contains information on household demographic and socioeconomic characteristics. The data was collected at the household level, hence, respondents are representatives of each household. It also provides information on electrical appliances owned by each household and their characteristics. Additionally, the data contains information on the monthly amount households pay for electricity and the kilowatts of electricity they consume in a month. The data also provides information on households' knowledge of the impact of electricity consumption on climate change and on the environment. Additionally, it provides information on conditions under which households will be willing to contribute towards climate change mitigation by promoting electricity consumption efficiency.
Topics
Keywords
Methodology
Data collection period
16/04/2022 - 12/05/2022
Country
Ghana
Time dimension
Cross-section
Analysis unit
Housing unit
Universe
The data was collected at the household level, and respondents are representatives of households.
Sampling procedure
The data contains a survey undertaken in three regions of Ghana: Greater Accra, Ashanti and the Northern regions to represent the Coastal, Forest and Savannah Zones respectively. We adopt a sampling design by the Ghana Statistical Service (GSS) used for the Ghana Living Standards Survey (GLSS). Based on the design, the GSS has listed rural and urban Enumeration Areas (EAs) in all the regions. We proportionally allocate the EAs to the regions sampled based on rural-urban stratification. Systematically, 20 households were selected from each EA following the ordered sampling frame. Consequently, 28, 19 and 8 urban EAs were interviewed in the Greater Accra, Ashanti and Northern regions respectively while the figures for the rural areas were 3, 12 and 11 for the Greater Accra, Ashanti and Northern regions respectively. Households in the EAs were located with the help of the household listing undertaken by the GSS containing the names, addresses and Global Positioning System location of all households within the EAs. We submitted all the data collection instruments and protocols for approval by the University of Ghana Ethics Committee for Humanities before going to the field
Probability
Kind of data
Not availableData collection mode
The questionnaire instrument was coded in Computer-Assisted Personal Interviews (CAPI) and enumerators visited each household to conduct the interview. After each day's activity, the overseer goes through the reported data to identify any errors. If errors are detected, the enumerator re-visits the household the next day to collect the appropriate data.
Interview
Funding information
Funder
Swedish International Development Cooperation Agency
Grant number
MS-956
Access
Publisher
Swedish National Data Service
Publication year
2025
Terms of data access
Access to data through SND. Access to data is restricted.
Related publications
Not available