February 2025

How are Piped Water Suppliers Performing in Rural Ghana?

Data Collected: 2023 – 2024

Performance-based funding is a potential strategy to improve service delivery and financial performance in rural water systems by linking payments to measurable outcomes. While this approach has been successfully used to incentivize private service providers in Asia and Africa, its application in public rural water systems remains limited. Benchmarking, a complementary tool, allows service providers to track their performance against standardized indicators and fosters improvements through competition and peer learning.

Methods Used to Examine the Performance of Piped Water Suppliers

An infographic titled "Research Steps" which outlines three sequential steps in a research process. Step 1 features a dark blue right-facing arrow labeled "STEP 1" with an icon of a hand selecting options. Below, the text states, "Selection of 19 water systems across four regions." Step 2 is represented by a light blue right-facing arrow labeled "STEP 2" with an icon of a networked device. Above, the text reads, "In-person visits by Aquaya staff (1–3 days per system) to gather information on expenditures and income." Step 3 shows a dark blue right-facing arrow labeled "STEP 3" with an icon of a person reviewing a checklist. Below, the text states, "Data cleaning and processing." The steps are visually connected in a left-to-right sequence, with alternating arrow colors and corresponding icons.

Aquaya collected information on data availability, financial performance, and service levels for 19 water systems in 2023-2024. All systems were managed by Water and Sanitation Management Teams (WSMTs) in rural Ghana. WSMTs are part of Ghana’s Community Ownership and Management model, serving as the primary management structure for rural water systems. We selected the 19 systems from four regions (Northern, Savannah, North East, and Volta) to capture diverse contexts and complement data collected under other USAID-supported studies: Rural Evidence and Learning for Water (REAL Water) and Enhancing Water, Sanitation, and Hygiene (En-WASH). We intentionally selected water systems that were more likely to have financial and service level data available, potentially biasing the selection toward better-performing systems.

Results

Icon of Data Availability

Most of the 19 water systems had very limited data available. Most data were in a hard-copy format, usually handwritten, to varying degrees of completeness and legibility; a relatively small number of digital records were available.



Icon of Financial Performance

We found substantial variation in financial performance. Revenue collection efficiency ranged from 52% to 95% for the 9/19 systems with sufficient data available. We found functional customer meters in 11/19 (58%) of the systems.

Icon of Service Levels

We observed wide differences in water accessibility and reliability between systems. Water accessibility ranged from <1 to 64 taps per 1,000 people. With respect to water reliability, systems supplied water between 7 and 30 days per month.

Insights for Future Piped Water Suppliers Interventions

Staff from most systems (12/19 systems) agreed that performance benchmarking would be beneficial and encourage motivation through competition. Potential downsides of benchmarking included;

  • Creating enemies with competing systems
  • Political issues (e.g., district officials interfering).
  • Potential motivation to increase tariffs above customers’ ability to pay.
A group photo of Aquaya team members gathered together, smiling at the camera. The image represents the team working on water research and development projects, including studies on Piped Water Suppliers Performance in Ghana.

Aquaya team members at the Savelugu Water & Sanitation System during an ENWASH project field visit

Discussion and Recommendations

This research revealed substantial challenges in data availability and performance across the 19 systems with community-based management, which has important implications for implementing performance-based funding approaches. A key finding is the sparsity of data on financial performance and service delivery among the systems studied. With only 21% of systems having high data available, any benchmarking or performance-based funding mechanism must first address these fundamental data gaps and build the capacity of water system staff to document their KPIs. Simply excluding systems with poor data from performance-based funding arrangements would likely exacerbate existing inequities. The systems with the least data are often those with the fewest resources and maybe those most in need of performance-based funding to improve their operations.

This work is supported by funding from the Conrad N. Hilton Foundation.

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