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Making JMP data more useful for local decision-making in Ghana

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conference contribution
posted on 12.02.2018, 15:08 by Emmanuel Addai, Yaw A. Sarkodie, Richard Adjei
Data from the WHO/UNICEF Joint Monitoring Programme (JMP) and the Ghana Statistical Service (GSS) portray Ghana as being on track to meeting her MDG target for drinking water. However, data from local water supply agencies portray Ghana as being off track. It has been established that differences between the figures are caused by differences in statistical methodologies. Sector professionals and the general public have hardly planned with JMP/GSS data for fear of exaggeration since water scarcity is still rampant in Ghana. A critical analysis of JMP/GSS data by the Water and Sanitation Monitoring Platform reveals that if the time that people spend to collect water was to be considered during data analyses and reporting, the JMP/GSS data would be more acceptable to stakeholders for planning and decision-making. The time factor should therefore be considered when the JMP is reviewing methodologies for the period beyond 2015.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

WEDC Conference

Citation

ADDAI, E. ... et al, 2011. Making JMP data more useful for local decision-making in Ghana. IN: Shaw, R.J. (ed). The future of water, sanitation and hygiene in low-income countries - Innovation, adaptation and engagement in a changing world: Proceedings of the 35th WEDC International Conference, Loughborough, UK, 6-8 July 2011, 4p.p.

Publisher

© WEDC, Loughborough University

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2011

Notes

This is a conference paper.

Other identifier

WEDC_ID:10487

Language

en

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