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Difference between revisions of "PeopleSuN Survey Data"
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The dataset includes answers from 3,599 households and 1,122 enterprises. It is freely available on Harvard Dataverse for all with attribution “RLI-PeopleSuN Energy Audits (RLI-PSN): Household and enterprise energy supply, use and preference data from rural Nigeria”. | The dataset includes answers from 3,599 households and 1,122 enterprises. It is freely available on Harvard Dataverse for all with attribution “RLI-PeopleSuN Energy Audits (RLI-PSN): Household and enterprise energy supply, use and preference data from rural Nigeria”. | ||
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Revision as of 09:54, 28 March 2023
Within PeopleSuN, WP 2 provides quantitative survey data from 225 electrified non-urban villages across three Nigerian geopolitical zones as well as qualitative survey data from 8 electrified non-urban villages. Household and enterprise surveys were conducted.
The goals of the household survey are to
- Determining electricity consumption and expenditure and how it relates to electricity supply, and to
- Testing household preferences for appliances, electricity hour capacity, source and billing methods.
The goals of the enterprise surveys are to
- Defining typical enterprise types across non-urban Nigeria and develop improved estimates on their electricity needs, linking this with wealth and other factors, and to
- Testing enterprise preferences for appliances, electricity hours, capacity, source and billing methods.
The goals of the qualitative surveys are to
- Understanding which electric appliances are perceived as necessary for household wellbeing
- Understanding the socio-cultural values and norms related to use of electric appliances
- Understanding differences and similarities in values and preferences across population sub-groups (e.g. by gender)
The dataset includes answers from 3,599 households and 1,122 enterprises. It is freely available on Harvard Dataverse for all with attribution “RLI-PeopleSuN Energy Audits (RLI-PSN): Household and enterprise energy supply, use and preference data from rural Nigeria”.
