Shaba refugee health, Shaba refugee roads, Shaba refugee water

The study was based mainly on population data from the 1984 census and 1988 data on infrastructural outputs and projected costs. The three projects were initiated in 1984/85, and will end in 1990/91. The population in the project area grew from 351,000 in 1984 to 390,000 in 1988 and is projected to increase to over 417,000 in 1991. If the health project"s target of 54 new facilities is met, health care coverage will be 100% in two of the project zones (Kasaji and Kapanga), and 70% and 60% coverage, respectively, in the other two zones (Sandoa and Dilolo). Overall, project-funded infrastructure will serve a total of 342,000 people, representing 82% of the Lualaba population, at a cost of $11.80 per person. Targets in the road project are to construct 1,266 km of roads and 6 bridges. As of 3/89, only 340 km of roads and 2 bridges had been completed (the ES notes, however, that these figures had increased to 1,060 km of roads and 5 bridges as of 3/90). Per capita costs of road construction across the various health zones vary from $11.00 in Kasaji to $28.80 in Dilolo, with an average cost of $19.70. The study also collected primary data on the indicators chosen to assess the project"s impact: price of consumer goods, volume of traffic at certain points within the road network, and speed of traffic on various road lengths. The water and sanitation project has completed 411 springs (82% of revised target), 97 wells (31%), and 1 of the 7 piped water systems. By the end of the project, 637 per 1,000 people are scheduled to be served by potable water systems at a per capita cost ranging from $16.40 in Kasaji to $9.10 in Dilolo and averaging $12.30. Overall, study findings show the importance of geographic variation: both costs and impacts area expected to differ significantly by location. It is expected that there will be interactive effects with the change in access to health, road, and water services. For example, improved roads will allow drilling rigs access to remote locations that otherwise would not have access to well water. The study also demonstrated the feasibility of and cost savings possible from using local consultants and existing data sources for studies such as this.