The University of Southampton
University of Southampton Institutional Repository

Dataset in support of the paper 'Electricity access linkages to sustainable development goals in rural Sudan'

Dataset in support of the paper 'Electricity access linkages to sustainable development goals in rural Sudan'
Dataset in support of the paper 'Electricity access linkages to sustainable development goals in rural Sudan'
2021 Household interview survey 4 rural Sudan villages This dataset corresponds to a survey of four villages in Sudan, typical size 500 people. The interview survey data from the villages was collected between 30/07/2021 and 22/08/2021. The sample size was 60 participants from different households in each village, and an age group of 18 – 79. The average household across the four villages had six members, therefore each village has around 84 households. For a confidence level of 95% and a margin of error of 7%, the survey would therefore need a sample size of 59 households. This survey has collected n=60 surveys from each of the four villages. This study was approved by Ethics and Research Governance of the University of Southampton (3659.A4 - Energy for Development (Amendment 4), 21/01/2021) for studies involving humans. Analysis of this dataset can be found in paper in: Mohammed, A.; James, P.; Bahaj, A. Electricity Access Linkages to Sustainable Development Goals in Rural Sudan. Sustainability 2025, 17, 2441. https://doi.org/10.3390/su17062441
University of Southampton
Mohamed, Ayah
0a608ddb-5f2a-43f1-a7fa-c727a5296bee
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37
Mohamed, Ayah
0a608ddb-5f2a-43f1-a7fa-c727a5296bee
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37

Mohamed, Ayah (2025) Dataset in support of the paper 'Electricity access linkages to sustainable development goals in rural Sudan'. University of Southampton doi:10.5258/SOTON/D3415 [Dataset]

Record type: Dataset

Abstract

2021 Household interview survey 4 rural Sudan villages This dataset corresponds to a survey of four villages in Sudan, typical size 500 people. The interview survey data from the villages was collected between 30/07/2021 and 22/08/2021. The sample size was 60 participants from different households in each village, and an age group of 18 – 79. The average household across the four villages had six members, therefore each village has around 84 households. For a confidence level of 95% and a margin of error of 7%, the survey would therefore need a sample size of 59 households. This survey has collected n=60 surveys from each of the four villages. This study was approved by Ethics and Research Governance of the University of Southampton (3659.A4 - Energy for Development (Amendment 4), 21/01/2021) for studies involving humans. Analysis of this dataset can be found in paper in: Mohammed, A.; James, P.; Bahaj, A. Electricity Access Linkages to Sustainable Development Goals in Rural Sudan. Sustainability 2025, 17, 2441. https://doi.org/10.3390/su17062441

Text
2021_Household_Interview_Survey_4_Rural_Villages_variable_list.docx - Dataset
Available under License Creative Commons Attribution.
Download (16kB)
Text
2021_Household_Inteview_Survey_4_Rural_Villages.csv - Dataset
Available under License Creative Commons Attribution.
Download (42kB)
Text
readme_Household_Interview_RuralSudanVillages.docx - Dataset
Available under License Creative Commons Attribution.
Download (18kB)

More information

Published date: 11 March 2025

Identifiers

Local EPrints ID: 499223
URI: http://eprints.soton.ac.uk/id/eprint/499223
PURE UUID: 0d3238fb-0a65-42b1-ab26-14b1207e4904
ORCID for Patrick James: ORCID iD orcid.org/0000-0002-2694-7054
ORCID for Abubakr Bahaj: ORCID iD orcid.org/0000-0002-0043-6045

Catalogue record

Date deposited: 12 Mar 2025 17:38
Last modified: 01 Apr 2025 04:01

Export record

Altmetrics

Contributors

Creator: Ayah Mohamed
Research team head: Patrick James ORCID iD
Research team head: Abubakr Bahaj ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×