WPS5387 Policy Research Working Paper 5387 Provision of Water to the Poor in Africa Experience with Water Standposts and the Informal Water Sector Sarah Keener Manuel Luengo Sudeshna Banerjee The World Bank Africa Region Sustainable Development Division July 2010 Policy Research Working Paper 5387 Abstract Standpipes that dispense water from utilities are the lower rates of household connection. most common alternatives to piped water connections Water prices in the informal market are much higher for poor customers in the cities of Sub-Saharan Africa. than for households with private connections or yard Fifty-five percent of the unconnected urban population taps. Although standpipes are heavily subsidized by relies on standpipes as their first water source. Other utilities, the prices charged by standpipe operators informal water providers include household resellers and are closely related to the informal water reseller price. a variety of water tankers and vendors, which are the first Standpipe management models also affect the informal water source of 1 percent and 3 percent of the urban price of water. For example, the shift from utilities population, respectively. management to delegated management models without In the cities studied, the percentage of unconnected complementary regulation or consumer information has households ranges from 12 percent to 86 percent of often led to declines in service levels and increased prices. the population. The percentage of unconnected people Standpipes are not the only or even the most efficient covered by standpipes is substantially higher for countries solution in peri-urban areas. Programs that promote with higher rates of household connection, while the private household connections and arrangements that percentage of unconnected people covered by water improve pricing and services in the household resale tankers or water vendors is higher for countries with market should also be considered by policy makers. This paper--a product of the Sustainable Development Division, Africa Region--is part of a larger effort in the department to improve the global knowledge base on African infrastructure as part of the Africa Infrastructure Country Diagnostic. Policy Research Working Papers are also posted on the Web at http://econ.worldbank.org. The author may be contacted at skeener@worldbank.org. The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Produced by the Research Support Team Provision of Water to the Poor in Africa EXPERIENCE WITH WATER STANDPOSTS AND THE INFORMAL WATER SECTOR Sarah Keener, Manuel Luengo, and Sudeshna Banerjee Contents 1 Urbanization and the unconnected water market 1 Standpipes 5 Household resellers 9 Mobile vendors 11 Small-scale independent providers 11 Case study of the evolution of water sources: Mozambique 12 2 Management of the unconnected water market 16 Direct management by utilities 16 The delegated management model 18 Community-based management 19 Private management 21 3 Analysis of water prices, costs, and regulation 23 Standpipes 23 Household water resellers 27 Mobile distributors 30 Small piped networks 32 An indicator for measuring the distortion in the water sector 32 4 Conclusions 37 Public water provision to the unconnected 37 The informal urban water market 39 Considerations for policy makers 40 References 43 Independent case studies by country 47 Appendixes 51 Appendix 1 Water provision diagram 51 Appendix 2 Total, urban, and slum population growth, sorted by urban population growth 52 Appendix 3 Conflict Index 53 Appendix 4 Percentage of unconnected population at the city level with population density 54 Appendix 5 Water supply chain in two African cities 55 Appendix 6 Coverage of water supply in urban areas 56 Appendix 7 Standpipe and kiosk management models 57 Appendix 8 Methodology for estimating the annual gross profit and the annual cross-subsidy between household consumers and standpipes captured by standpipe operators in a city 58 iii 1 Urbanization and the unconnected water market Sub-Saharan Africa is the fastest urbanizing region in the world, a phenomenon accompanied by growth in informal settlements. At the same time, its GDP per capita has been falling at an annual rate of 0.66 percent (WDI 2007). This combination of urban growth and economic recession has contributed to the expansion of informal settlements (Fay and Opal 2006). For example, for the 24 Sub-Saharan African countries included in this study, total population grew at an annual average of 2.5 percent, while the growth of slum population has doubled at 4.43 percent in the past decade. Countries have been unable to match investment and maintenance in urban water and sanitation services with urban growth and have not prioritized expansion in informal settlement areas. Utilities, central actors in service delivery in the urban context, face risks and transaction costs in doing business in informal settlements; these include the unclear legal status of many residences in these areas, which increases the possibility of demolition of the settlement (Kariuki and others 2003), as well as physical challenges to planning networks for haphazard residences that may be later changed or regularized. At the same time, incentives to perform according to financial targets have discouraged utilities from prioritizing expansion in these areas. The situation is especially acute in post-conflict areas. The urban process is accelerated by people from refugee camps and insecure rural areas that stream into unplanned urban areas. At the same time, conflict, particularly prolonged conflict, exposes infrastructure to deterioration, and diverts the attention of utilities away from improvements in finance, continued investment, and management. High-conflict countries tend to have higher percentages of unconnected population (table 1.1). The gap in private water connections in urban areas has been filled by a wide range of alternative water providers. These include suppliers such as public standpipes/kiosks (part of the formal water sector), and alternative sources in the "informal" water market. In addition, households seek their own alternative free sources by harvesting rainwater, drilling shallow wells. and collecting surface water. The ability of the alternative suppliers to provide an adequate service to unconnected people is still under debate, but the literature recognizes their important role. That recognition is beginning to give us a better understanding of the function of alternative suppliers in water provision to the urban poor (Collignon and Vézina 2000; Kariuki and others 2003; Kariuki and Schwartz 2005; Keener and Banerjee 2007). The unconnected market is heterogenous and made up of many players. Figure 1.1 presents the different categories of alternative providers considered in the study according to the relationship to the water source and technology employed in water service delivery. The formal alternatives include public standpipes/kiosks, which can be managed under a variety of schemes. The informal alternatives include sources that resell network water. In most countries with low- to medium-coverage, the most important informal source is people who resell water directly from their house connection. Given its importance, it is surprising that there are so few in-depth case studies of the prevalence of this practice, its coverage, and its market dynamics. PROVISION OF WATER TO THE POOR IN AFRICA Table 1.1 Slum and unconnected population sorted by conflict incidence Slum urban popula Conflict index Country (% of total urban pop DRC 50 Sudan 86 High Uganda 93 Angola 83 Ethiopia 99 Mozambique 94 Rwanda 88 Medium Côte d'Ivoire 68 Namibia 38 Chad 99 Kenya 71 Lesotho 57 Nigeria 79 Ghana 70 Benin 84 Burkina Faso 77 Niger 96 Senegal 76 Low South Africa 33 Malawi 91 Zambia 74 Cameroon 67 Cape Verde 70 Madagascar 93 Tanzania 92 Mauritania 94 Average 77.73 High conflict index 78 Medium conflict index 81 Low conflict index 76 Source: UN Habitat 2005; AICD DHS/MICS Database, 2007. Note: The conflict index is a compound indicator that takes into account four different measures related to conflict incidence: lapse of time since the last violent conflict * 2001 data ** latest available data. 2 PROVISION OF WATER TO THE POOR IN AFRICA Figure 1.1 Typology according to source and technology employed Relationship to source Dependent Independent (source supplied by utility) (develop own source) Community SPN Community SPN Small piped network (SPN) Private SPN Private SPN Public standpipe Private standpipe (kiosk) Technology employed Point source Private standpipe (kiosk) Community standpipe Household reseller (informal standpipe) Water tankers Water tankers Carters: Carters: Mobile distributor Animal traction carters Hand carters Water bearers Source: Kariuki and Schwartz, 2005 Mobile distributors, often referred to as vendors, supply a large share of the urban unconnected population in only a few countries. Private standpipes dependent on network water are even more rare. Non-network sources include small-scale independent providers (SSIPs)--businesses or people that sell water from sources they have developed or found such as boreholes, wells, or even rivers. In the past decade, these various sources, which together comprise the " informal"water market, have gained more attention from the development community. This paper summarizes the available knowledge on standpipes and the informal water sector, focusing primarily on coverage, price transmission mechanisms, regulation, and standpipe management in urban Africa. It identifies gaps in the research and outlines priorities in terms of future field work to fill those gaps. In preparing the paper, we performed an extensive review of all of the available literature on the topic and analyzed data from a subset of African countries (see below). Another objective of the study is to design indicators that show cross-country comparisons of the structure of the informal water market and its relative importance. The paper draws upon two data sets, the AICD DHS/MICS database 2007 and the AICD WSS database (2007). The first database relies on 63 national Demographic and Health Surveys (DHS) covering households in 32 countries. This DHS database provides information on water services at the urban level based on household surveys. The second database, AICD WSS, is based on surveys of government officials and utility staff in the largest city of each of 24 countries in Africa 1. Existing independent case studies based on sector-specific field research were used to fill specific data gaps and to test the validity of some utility-reported data appearing in the AICD WSS database (2007). A study on the unconnected market is complicated by data constraints. The AICD DHS/MICS database (2007) on water coverage is very comprehensive, but the breakdown of water by source does not include household water resellers of water as a separate category; it therefore misses the coverage 1 With the exception of Kaduna, Nigeria, the AICD 2007 Database is based on information collected during January ­ July 2007 in 24 countries in Africa, and included a module on SSIPs for the largest city in each country. 3 PROVISION OF WATER TO THE POOR IN AFRICA information of an increasingly important informal water service provider.2 DHS data refers only to a primary source of water, and it fails to capture the fact that households in sub-Saharan Africa, and in particular the urban poor, are increasingly forced to rely on more than one source of water. In the case of the AICD WSS database, data is divided between information coming from utility staff and government documents (74 percent) and independent studies (10 percent);3 comparing these two data sources provided for a more accurate assessment of what the current multi-country data sources were missing. Comparison of case studies and the AICD analysis on the informal sector revealed that there was serious bias depending on the source. Independent studies note that information from the utility or the government overestimated the coverage of the population by standpipes and underestimated the extent of the informal water sector. Because of these caveats, comparable cross-country information (DHS) on the urban informal water sector is most likely to provide an indication of its minimum coverage rather than an overall coverage level.4 There is tremendous diversity among countries in the size of the unconnected market as well as in the composition of coverage provided by each water supplier. The unconnected urban population can be anywhere above 80 percent in Uganda, Mozambique, Rwanda, Nigeria, and Madagascar. In contrast, the middle-income countries in Southern Africa--Namibia and South Africa--have 21 percent and 12 percent unconnected urban population respectively. Central and Eastern Africa rely to a greater degree on standpipes (almost as important as house/yard connections); Western Africa has slightly lower reliance on standpipes (21 percent of the urban population) but substantially higher reliance on wells and boreholes (37 percent of the urban population), which can also capture a portion of the informal sector market. It is interesting that ECOWAS countries, despite being only slightly richer in per capita terms than central ones, enjoy much better piped water coverage (table 1.2). This regional (DHS) data must be interpreted with caution, because informal water sellers can show up under several categories: "standpipe" (SSIPs), "boreholes" (SSIPs), "house connection," and "vendor." 2 While DHS surveys ask respondents about water vendors, the informal water sector can take many forms, from resale of water from house connections, to resale from boreholes, to more traditional mobile water vendors who may obtain water for a variety of sources (including public standposts); some households who purchase water from their neighbor's piped connection categorize this source as piped water from a house connection rather than a vendor, particularly in countries where such purchase is illegal or discouraged. By the same token, the DHS surveys asking about standpost use do not distinguish between public, private, network or non-network standposts. In addition, much of the cross-country data only accounts for a primary source of water, when in fact poor households may regularly rely on multiple sources for different uses. Nonetheless, to date the only available cross country primary data for urban areas comes from these imperfect sources. 3 Due to the common problem of lack of adequate records for the informal sector, about 16 percent of the information on the 24 largest cities in the study was not available. 4 Comparison of case study data with DHS data suggests that households reliant on resale from neighbor's taps are likely to report in categories other than "vendor" (for example, private tap, standpost, etc.). 4 PROVISION OF WATER TO THE POOR IN AFRICA Table 1.2 Urban households connected and unconnected to piped water by region Percent Unconnected Region Connected All unconnected Standpipes Wells and boreholes Surface Vendor Other West 28 72 21 37 6 7 0 Central 34 66 32 14 16 1 3 East 37 63 31 20 8 1 3 South 65 35 22 9 3 0 0 Total 38 62 25 24 7 4 2 Source: AICD DHS/MICS Database, 2007 Most utilities have pursued expanded coverage and financial viability primarily via household connections, which are typically used to subsidize the cost of standpipes. Almost no urban utilities have pursued standpipes as a primary mode of expansion of coverage.5 The percentage of unconnected people covered by standpipes is substantially higher for countries with higher household connection rates. In countries with medium to high household connection rates, 71 percent of the unconnected population relies on standpipes, on average. In countries with low to medium household connection rates, 48 percent of the unconnected population relies on standpipes, on average; and in countries with very low household connection rates, 32 percent of the unconnected population relies on standpipes, on average. The very existence of a relatively expanded water network has spillover effects, allowing better access through standpipes. The prevalence of the informal market is directly linked to the household connection rate. Not surprisingly, the DHS data show that the percentage of unconnected people covered by water tankers or water vendors is higher for countries with lower household connection rates. Countries with very low household connection rates have 13 percent of their urban unconnected population that relies on either water trucks or water vendors, on average. In countries with low-medium household coverage rates, 4 percent of the urban unconnected population relies on either water trucks or vendors, on average; for countries with medium-high household coverage rates, only 2 percent of the urban unconnected population relies on either water trucks or vendors, on average. Standpipes Standpipes represent the main source of water for unconnected households for most cities. Therefore, it is particularly important to take them into account if one is to understand not only the characteristics of water coverage but also the dynamics of the water market and supply chains. Average standpipe coverage in the cities studied is 28 percent, but standpipe coverage can provide up to 53 percent of the water supply for the unconnected households (table 1.3). These results are very much in line with the widespread belief that standpipes are the main water source for the urban poor and that the poor are likely to comprise a 5 In recent projects in urban Burundi, there is a greater focus on standpipes, largely because of constraints in bulk water supply and capital financing. 5 PROVISION OF WATER TO THE POOR IN AFRICA larger proportion of standpipe users. 6 The wide inter-city variation in standpipe coverage implies that the policies governing standpipes need to be tailored. The approach to standpipes in Johannesburg, where this source provides almost the totality of coverage to the unconnected and disconnected, will clearly differ from that in Khartoum, where water vendors abound and there is only marginal standpipe coverage, or from that in another country where some portion of standpipe users may actually be eligible for house connections but unable to pay the high connection fees. The "real" coverage of public standpipes falls when the results of independent sectoral surveys are compared to the official data from utilities and governments. Independent studies assessed the coverage provided by standpipes as well as by other alternative providers in detail and made it possible to compare results with official statistics. In Maseru, the capital of Lesotho, for example, MICS data revealed about 50 percent of the urban population did not have a piped connection but the utility assumed that this segment was reliant on its free public standposts. However, an earlier detailed sectoral survey undertaken in Maseru in 2002 showed that coverage by free public standpipes was as low as 16 percent of the population, with the coverage among the unconnected falling from 100 percent to 24 percent of that population group (Sechaba/Hall 2002).7 In spite of the three year lag between surveys, it is unlikely that this accounts for the differences in these numbers. Similarly, in Ethiopia the formal standpipe coverage is overestimated, with the gap filled by resale from household connections. Utility data deviate from sectoral household survey data in estimating standpipe coverage. The most common way utilities calculate standpost coverage is to multiply a "standard" number of people using a stand post (300­500ppl/standpipe) by the number of existing standpipes.8 This estimation, however, can be highly inaccurate as it cannot take into account the variety of factors that affect the real usage of standposts (geographic distribution relative to population, distance, water pressure, operating hours, functioning or non functioning). In Ouagadougou, for example, the number of people that rely on standpipes was often calculated using a rate of 700 people per standpipe. However, detailed field studies showed that the real coverage was much lower; as a result, the utility reduced that "standard" number from 700 to 300 people per standpipe for water studies.9 6 Standpipe users have higher incomes than those with no access to standpipes at the national level. The poorer rural population relies on less-improved water sources than standpipes. However, within urban areas, and in particular within primary cities, standpipes represent an important water source for lower income residents. 7 These figures are likely to have changed. Since this study was completed, the WASA (the water utility) has undertaken a new standpost program focusing on token run standposts, with apparent success. 8 For all the cities for which we could only rely on utility's information, coverage was calculated this way. 9 Personal communication with Seydou Traore, WSP, on September 25, 2007. 6 PROVISION OF WATER TO THE POOR IN AFRICA Table 1.3 Coverage of water supply in the largest cities 23 cities included in AICD study Other Small Ratio of Household Standpipes/ Water Household Water piped stdp-kiosk/ connection kiosks tankers resellers vendors networks unconnect. Country Largest city (%) (%) (%) (yes/no/%) (yes/no) (yes/no) (%) Benin Cotonou 31 N/V N/A yes no yes N/V Burkina Faso Ouagadougou 34 61 N/A no 5 no 92 Ethiopia Addis Ababa 39 40 N/A yes yes no 66 Mozambique Maputo 26 26 N/A 26 yes 12 35 Niger Niamey 31 21 N/A no 10 no 30 Nigeria Kaduna 48 2 N/V yes yes no 3 Rwanda Kigali 35 51 3.21 10 no no 79 Senegal Dakar 77 19 N/A yes no no 81 South Africa Johannesburg 88 12 0.24 no no no 98 DRC Kinshasa 36 N/V N/A yes no yes N/V Ghana Accra 56 N/V N/V yes yes no N/V Kenya Nairobi 51 41 N/V no 8 9 84 Lesotho Maseru 33 16 1.00 31 5 no 24 Malawi Blantyre 47 N/V N/A yes no no N/V Namibia Windhoek 73 20 N/A no no no 74 Sudan Great Khartoum 27 0.11 0.43 yes 60 no 0.1 Zambia Lusaka 27 58 N/A yes yes no 79 Cape Verde Praia 34 60 6.30 no no no 90 Chad N'Djamena 22 N/V N/V yes yes yes N/V Cote d'Ivoire Abidjan 65 N/V N/A yes no yes N/V Madagascar Antananarivo 42 34 N/A yes 8 yes 58 Tanzania Dar es Salaam 29 4 2.00 35 2 yes 6 Uganda Kampala 30 5 N/V yes yes yes 7 Average 43 28 2.20 N/V N/V N/V 53 Median 35 21 2 N/V N/V N/V 66 Minimum 22 0.11 0 10 2 6 0.1 Maximum 88 61.0 6 35 60 12 98.1 Number of countries with relevant presence all all 11/23 (48) 17/23 (74) 14/23 (61) 9/23 (39) Source: AICD WSS data, other. Note: For the unconnected market, the data obtained from independent studies have been highlighted. The remaining data come from utility and government sources. These factors point to a trend of utility overestimates of coverage from public standpipes. But in some countries, that overestimation is mitigated by substantial mobile resale of standpipe water. In cities where standpipe coverage is very low, vendors sell water door-to-door or from existing household connections. In these cases, while people may occasionally obtain their water from the standpipe, they also obtain it from vendors who buy it from the standpipe. Since utilities and standpipe operators do not keep track of 7 PROVISION OF WATER TO THE POOR IN AFRICA the different customers they serve, coverage numbers "hide" the breakdown by type of consumer. This is very important when it comes to understanding the price structure of the market, for the standpipe operator usually charges the direct consumer and the reseller differently. In peri-urban areas of Accra, although most water is sold primarily through standpipes, 20 percent of that water is resold by cart operators (Sarpong and Ambrampah 2006). Likewise, standpipes in Khartoum sell most of their water (80 percent) to cart operators, who then resell it to households (Elamin and Gadir 2006). Similarly, in Ouagadougou, more than 80 percent of water sold at standpipes is bought by carters and not by individuals (Collignon and Vézina 2000). In Luanda, Angola, most of the water delivered in peri-urban areas, where the majority of the population lives, is brought in by trucks that sell water obtained either from the piped water system or directly from the river. The water trucks then sell the water to an estimated 10,000 nonmobile water vendors, primarily households that have built water storage tanks; these households in turn sell the water to the rest of the population. In peri-urban areas of Luanda, 70 percent of the dwellers purchased their water from water vendors (Development Workshop 1995). Utilities reported that 19 percent of public standpipes were dysfunctional, but the real number is probably higher. Estimates of working standpipes obtained from independent studies gave much lower rates--with an average of 42 percent of standpipes in working order, versus the utility generated estimate of 81 percent (table 1.4). This raises reasonable doubts about the accuracy of the numbers reported by utilities on the status of standpipes.10 Further, many utilities do not have an updated inventory of existing public standpipes and their current operating conditions, reflecting a low level of monitoring of this generally low-revenue- generating service for the utility--and an absence of regulation. Recent studies conclude that standpipes in many cities have been poorly maintained, with a decline in the number of standpipes in use as well as in the quality of their service (hours of operation and pressure) over time. For future research, it will be very important to understand the capacity that utilities have to deal with these issues, in terms of financial and human resources. Finally, the information base is weak in part because regulators often track hours of water service of the system, but not the number of standpipes in good working condition. Support for the premise that charging for standpipe water will provide incentives to the utility or to a standpipe manager to keep it in good working order does not clearly emerge from a review of 15 city utilities. However, because of the caveats noted on utility reporting, this finding needs to taken with caution and prioritized for further scrutiny in future research. Countries with a higher conflict incidence show a somewhat lower percentage of standpipes in good working condition. Table 1.4 Public standpipes in good working order and free of charge in 15 cities Share in good working order Share free of Country Largest city (%) charge (%) Sudan (HCI) Great Khartoum 100 0 10 As reported in AICD WSS data. Since water provision through standpipes is considered an "improved" source in the MDGs (a person supplied through a household connection counts the same as one supplied by a standpipe), there is an incentive for government officials and utility staff to err on the side of "inflating" coverage numbers (Cudjoe and Okonski, 2006). 8 PROVISION OF WATER TO THE POOR IN AFRICA Public standposts are by and large DRC (HCI) Kinshasa 21 N/V connected to a city-wide utility water Mozambique (MCI) Maputo 58 0 system. Standposts that rely on Rwanda (MCI) Kigali 75 0 groundwater for their supply are found Namibia (MCI) Windhoek 100 100 only in cities with accessible groundwater Lesotho (LCI) Maseru (a) 48 100 resources and in less densely populated Kenya (LCI) Nairobi 89 0 peri-urban areas with low exposure to Nigeria (LCI) Kaduna 55 96 Benin (LCI) Cotonou 100 0 pollution hazards. In these places, private Burkina Faso (LCI) Ouagadougou 100 0 boreholes have flourished, as noted Cape Verde (LCI) Praia 100 0 below. These are most often found in Niger (LCI) Niamey 98 0 specific areas within a city where the Zambia (LCI) Lusaka 97 0 utility does not have a water network. Malawi (LCI) Blantyre 90 0 Madagascar (LCI) Antananarivo 82 40 Household resellers Average 81 24 Source: AICD WSS Survey, 2007. Perhaps the most significant sign of Note: Data obtained from independent studies have been highlighted. The the inability of utilities to keep pace with remaining data come from utility and government sources. urban growth is found in the development a. A negligible percentage of the standpipe/kiosk coverage is paid. of household resellers in countries with LCI = low conflict index; MCI = medium conflict index. medium to low water coverage levels. This phenomenon is somewhat hidden, but it emerges clearly when comparing detailed case studies. About 70 percent of utilities surveyed have reported that the resale of water from households is commonplace, and consumer assessment surveys in cities in Mozambique, Lesotho, Ethiopia, and other countries have shown that reliance on household water resellers can account for as much as 50 percent of water resources for a city's population, and up to 80 percent of water resources for the urban poor. Households usually "hide" in the surveys the fact that they buy water from their neighbors because household water resellers often are not listed in the established categories of household surveys. Therefore, the household water resellers are concealed in the "piped water" or "other" coverage categories. Independent sectoral surveys on the coverage of household water resellers for four cities included in the AICD study ranges from 10 to 35 percent for the connected and from 15 to 50 percent for the unconnected. Evidence from case studies suggests that household water resellers can be as important as standpipes for the supply of the unconnected in Sub-Saharan cities. This market can represent a significant loss for the utility. Detailed analysis in a consumer assessment in five cities in Mozambique in 1996 showed that the estimated annual sales of water in Maputo totaled $3.2 million, of which $1.2 million could be attributed to formal house connections and yard tap sales and $1.5 million to yard tap owners who resell water to their neighbors (SAWA 1997; Keener and Banerjee 2007). Thus, the sales volume in the informal resale market exceeded the size of the domestic consumer market, representing a benefit for yard tap owners and lost revenues for the water utility. Ironically, the other delivery vehicle for low-volume water sales, standposts, was also in a state of decline. In the much- smaller secondary city of Quelimane, the size of the resale water market was constrained by very low and irregular supplies of network water. The approximate value of water sold per annum was $711,000, of which only 32 percent ($230,000) went to the water utility. As in Maputo, the largest source of sales from 9 PROVISION OF WATER TO THE POOR IN AFRICA water in the informal market came from the resale of yard tap water, accounting for estimated annual sales of more than $400,000. Standpost sales generated roughly $60,000 in sales; with less than $8,000 received by the water company in revenues. In Maputo, residents with yard taps were able to resell this water for 219 percent of the price they paid for it, and in Quelimane water was re-sold for 686 percent of the purchase price (see below). Household water resellers often provide a competitive service preferred by consumers over standpipes, though this depends also on relative pricing. In some cases, household resellers offer a "middle" level of service between a full house connection and a standpipe. Household water resellers are also common in cities where the distance between standpipes is too large or the usage (in terms of people per standpipe) too high, as in Dakar, Abidjan, Conakry, and Addis Ababa (Hall 2002; Kariuki and others 2003; Lauria and others 2005; Boyer 2007; O'Connor 2007). Certain studies indicate that there are several additional reasons why households may prefer to choose to buy water from their neighbor instead of using the standpipe. Neighbors can offer more convenient hours of operation and a better water pressure level; because neighbors are located close by, less time is needed to collect the water. In addition, neighbors may offer more flexible payment mechanisms than either public standpipes or one's own house connection (Maputo: SAWA 1997; Boyer 2007; Accra: Sarpong and Abrampah 2006; Maseru: Hall 2002; Abidjan, Cotonou, Conakry, Kampala, and Yaouandé: Kariuki and others 2003; Dakar: Brocklehurst and Janssens 2004; Blantyre: Chirwa and Junge 2007; O'Connor 2007). Certain neighborhood types are fertile for household resale, such as insecure, high-density slum areas. Households in high crime areas tend to prefer purchase of water from household resellers because they want to avoid going out after dark. Moreover, public standposts in such areas are more likely to have been vandalized, and no longer functional. In some instances, resales from household connections are linked to deterioration in standpipe service. The low quality of standpipe service comes from poor maintenance by the utility, or the delegated manager, but also from illegal connections of standpipe lines. For instance, in inner peri-urban areas of Maputo and Dar es Salaam, low pressure and shortages at the standpipes are associated with illegal connections. Most of the illegal connections are made in the periphery of the network where the water pressure is usually the lowest, thus further degrading the water pressure of standpipes, which are often located near the ends of the network (SAWA 1997; Kjellén 2006). Low pressure adds to waiting time at standpipes and makes the purchase from neighbor's yard taps more competitive. In Maseru, Lesotho, a similar pattern occurred in terms of the decline in standpipes relative to household resellers; there standpipe coverage fell from an estimated 66 percent to 16 percent (Hall 2002) of the urban population, while household water resellers provided water to 31 percent of the urban population and to almost half of the unconnected population. In Maputo's inner peri-urban areas, the standpipe system suffers from the most acute maintenance problems, and thus household reseller coverage can be as high as 69 percent of the population (Boyer 2007). 10 PROVISION OF WATER TO THE POOR IN AFRICA Mobile vendors Although mobile vendors do not represent a significant source of water for the unconnected in most African countries, they do serve a significant portion of urban households in some African countries.11 For two-thirds of the African countries surveyed, less than 1 percent of the urban population reports that they purchase from vendors, although, as noted, this likely represents only a portion of the informal water market. There are exceptions, however. In Mauritania, 32 percent of urban residents purchase water from mobile vendors, and in Khartoum, 60 percent of the population is served by water tankers. Cities in Burkina Faso, Chad, Niger, Nigeria and Tanzania also had more than 5 percent of households reporting they were dependent on vendors. The estimates of coverage are based on household surveys or calculated indirectly to determine coverage from the sources. The literature shows little quantitative data on the different ways water carters get their water and their different prices. Water vendors often provide water to communities situated a long distance from the network and to informal settlements where private connections and standpipes have not been installed (Kariuki and others 2003). Water truckers often supply mostly upper- and middle-income households. They are especially present in cities where the piped water service is very poor, both in terms of reliability and extension of the network, such as in Nairobi, Dar es Salaam, and Kampala. Half of the cities considered in the study have mobile distribution for water, but coverage is relatively limited to a small percentage of the population, from 0.24 percent to 6.5 percent (see table 1.3). In other cities, such as Accra and Luanda, water tankers supply directly to upper- and middle-income households but also play a key role in the supply chain. Due to the limited extension of the piped water network, a great part of the kiosks depend on water supplied by tankers. In fact, in informal settlements of Accra, 70 percent of the water bought in kiosks comes from water tankers (Sarpong and Abrampah 2006). In the case of Luanda in the mid- to late-1990s, the majority of the population (between 70 and 100 percent) living in peri-urban areas purchased water from water vendors that sold from household water tanks usually filled by water tankers (Development Workshop 1995). Small-scale independent providers There are small secondary water networks operated by small-scale independent providers (SSIPs) in almost 40 percent of the cities in the study. These may be connected to the main city network, as in Nairobi, Cotonou, and Abidjan, or completely separate from the city network, as in Kampala, Nairobi, and Maputo. However, the coverage of small secondary water networks is in general low--only 12 percent in Maputo and 9 percent in Nairobi (table 4). Those that are not connected to the utility's network, but rather to independent boreholes, are referred to here as "independent standpipes/kiosks." These have emerged in peri-urban areas that are less densely populated and often out of reach of the utility's water network. Although they are not prevalent in any African city, independent standpipes/kiosks appear to be one of the fastest-growing segments of the informal water market.12 This source often offers consumers a 11 Although not specified in the DHS, this category is often associated with mobile water sources. 12 Of 19 AICD cities, 8 reported some standpipes connected to independent systems. In five cities (Maputo, Nairobi, Kaduna, Maseru, and Lusaka), this service caters to a minority of the overall urban population. In Kinshasa, Dar es Salaam, and Khartoum all or most standposts use groundwater that is independent from the utility network. 11 PROVISION OF WATER TO THE POOR IN AFRICA good quality service because it is not constrained by network hours of supply and often offers good water pressure and more flexible hours, albeit at a higher price than standpipes connected to the network that are managed by community organizations or local leaders (Maputo: SAL 2007; Dar es Salaam: Materu and Mkanga 2006). It would be useful to have data on the coverage provided by each modality (i.e. connected to the main network vs. independent from the main network) in order to assess the future potential of each option. It would be equally interesting to have information on the income level of the households currently covered by this source. Case study of the evolution of water sources: Mozambique The case of Mozambique provides an interesting example of how various segments of the water market interact over time. In Maputo and several other cities in Mozambique, periodic surveys of the water market were carried out over a 10 year period in tandem with its water sector reform. First, a 2006 consumer assessment confirmed that poorer peri-urban households were more likely to depend on higher- priced re-sold yard tap water and on standposts. The assessment grouped households into poverty quintiles using standard factor analysis of 21 variables of household assets and indicators of wealth (figure 1.3). Second, the series of consumer assessments showed that the number of people reliant on formal house and yard tap connections has continued to decline since 1996 to a low of 23 percent of peri-urban residents' primary water source. However, because of long-term improvements in the financial and management aspects of the utility (currently under a lease contract), in recent years the sector has made improvements to bulk water supply, thus increasing the availability of water in urban systems. The utilities have also been able to attract funding and are about to undertake a large new wave of network expansion, which should have a substantial impact on these figures. Between 2001 and 2006, independent providers who supply small piped systems connected to boreholes (SSIPs) increased their market share to 23 percent from 9 percent, largely in the outer peri- urban areas where use of standpost water has also declined (figure 1.4).13 Consumers reported that SSIPs provided a very efficient service and responded more quickly for a request for a connection than did the utility, Aguas de Maputo. On the other hand, SSIPs were priced higher than some other sources and out of reach of the lower quintiles. Purchases from neighbors' taps continued to grow, accounting for 26 percent of peri-urban water sources. 13 Data are also available for 1996. However, because the 1996 data also included a center urban area that was not included in the later surveys, the 2001 and 2006 surveys provide a better comparison. 12 PROVISION OF WATER TO THE POOR IN AFRICA Figure 1.3 Source of water by wealth quintile: Maputo, Mozambique, 2006 40 35 % consumers using source 30 25 20 15 10 5 0 Quintil 1- poorest Quintil 2 Quintil 3 Quintil 4 Quintil 5- least poor AdeM connections SSIP connections Neighbours tap Public SP Private SP Source: Thompson, SAL Consultants 2007. Note: Includes Maputo and adjacent areas of Matola and Boane. Figure 1.4 Primary water source in peri-urban Maputo, 2001 and 2006 Source: Thompson, SAL Consultants 2007. The assessments also provided an indication of how prices have varied over time (figure 1.5). While those with connections to the utility (AdeM) saw increases of 340 percent in prices over the five-year period from 2001 to 2006, the price for household resale only increased by 223 percent (figure 1.6). 13 PROVISION OF WATER TO THE POOR IN AFRICA Figure 1.5 Price per cubic meter by source in peri-urban Maputo, 2001 and 2006 25.0 22.3 20.6 19.6 Price per cubic metre in MT 20.0 16.6 16.5 15.0 11.3 10.1 8.7 9.2 10.0 5.0 3.3 0.0 AdeM SSIP Neighbours tap Public SP Private w ell/bh connections connections BA 2001 BA 2006 Source: Thompson, SAL Consultants 2007. Figure 1.6 Percent price increase by source in peri-urban Maputo, 2001 and 2006 400 340 350 % price increase 2001 - 2006 300 257 250 223 200 164 150 119 100 50 0 AdeM SSIP Neighbours tap Public SP Private w ell/bh connections connections Source: Thompson, SAL Consultants 2007. Finally, by dissagregating the different types of peri-urban neighborhoods by social, water, and density characteristics, one can see that in the outer peri-urban areas where the utility's piped network did not reach, SSIPs quickly filled the gap (table 1.5), while in inner peri-urban (slum) areas, purchases from those with house connections were more important than public standpipes. 14 PROVISION OF WATER TO THE POOR IN AFRICA Table 1.5 Maputo water source by type of peri-urban area, 2006 Percent; N = 600 Inner peri- Middle Outer peri- Water sources used urban peri-urban urban Formal household connection 30 30 2 SSIP connection 1 8 31 Neighbors tap/other neighborhood 36 30 6 Public standpipe 22 13 7 SSIP standpipe 6 8 25 Private well/borehole (neighbors) 4 5 14 Own well/borehole 1 7 10 Public handpump (on well/borehole) 0 7 Total 100 100 100 Source: Thompson, SAL Consultants (2007). 15 PROVISION OF WATER TO THE POOR IN AFRICA 2 Management of the unconnected water market There has been much debate on how management arrangements for public standpipes and kiosks affect the final retail price, the quality of service, payment to the utility, and the proper functioning of the standpipe, but data gaps remain. Information on the success of management models for standposts and kiosks is still based on individual case studies and anecdotes. Cross-country primary research on the effectiveness of different management models under different conditions is needed in order to draw more definitive conclusions. There are many variations on how public standpipes are managed and who retains responsibility for payment, supervision, and maintenance (table 3.1). However, management systems tend to fall into two general patterns where: (i) the utility retains control; or (ii) the utility delegates various functions to third 14 parties and serves primarily as a bulk water supplier. In a little more than one-quarter of the cities studied, utility staff retains responsibility for managing standpipes along one of three management models (free, pre-payment, or managed by a paid utility staff member). In almost three-quarters of the cases, utilities had entered into a contract with a third party (whether a private individual or a community organization) or with a support institution (local government, CBO or NGO) for management of the 15 standpipe. Direct management by utilities Standpipes have been directly managed by utilities in three ways: free of charge, attended, and prepaid (figure 3.1). In the last three decades, there has been a shift from standpipes owned and managed free of charge by the utility to standpipes run either by private individuals or community groups, and kiosks that are privately or community owned. The data reveal that free standpipes are declining, largely because they are viewed by many utilities as transaction-intensive and a financial drain. As a result, among the sample cities only five (27 percent) still had standpipes free of charge. With the exception of Madagascar, for which less than half the standpipes provide free water, free public standpipes were mostly concentrated in larger piped systems or cities with sufficient levels of piped coverage to cross subsidize the costs--in South Africa, Namibia, Lesotho, and Nigeria. Further, other cities are moving towards paid standpipes or kiosks, except for Kaduna, Nigeria; the cities of Johannesburg, Maseru, and Windhoek are installing prepaid standpipes, and Antananarivo is installing kiosks. 14 In the majority of Sub-Saharan cities, the utility follows one of these two models. There are examples of kiosks that are both owned and operated by private individuals that use utility water, as in Nairobi and Blantyre (Oenga and Kuria 2006;Chirwa and Junge 2007) or that are owned and operated by community groups, as in Dakar (Brocklehurst and Janssens 2004). However, these are largely the exceptions. 15 In about half of the AICD cities, more than one management model was being used, either because one model is in the process of being replaced by another (Lesotho for example) or because of heterogeneous areas demanding different management approaches. 16 PROVISION OF WATER TO THE POOR IN AFRICA The second model, in Table 2.1 Modes of standpipe management which the utility directly hires a % free Management (% by:) salaried attendant, is an of Privat Commu- increasingly uncommon Ownership Country City charge e Utility nity * practice still in use in a few South Africa Johannesburg 100 0 100 0 countries (3 out of 18 sampled). Namibia Windhoek 100 0 100 0 This model has been rejected in Lesotho Maseru 100 0 97 3 some countries because Zambia Lusaka 0 5 90 5 Utility experience has shown that there Madagascar Antananarivo 40 60 0 40 is limited incentive for a wage- Nigeria Kaduna 96 4 96 0 earning employee to ensure Cape Verde Praia 0 0 100 0 cost-recovery. In Zambia, the Sudan Great Khartoum 0 0 100 0 utility has tried to improve this Benin Cotonou 0 100 0 0 model by introducing water Burkina Faso Ouagadougou 0 100 0 0 commissions. Niger Niamey 0 100 0 0 Private Rwanda Kigali 0 100 0 0 Pre-paid electronic Kenya Nairobi 0 88 0 12 standpipes have no on-site Senegal Dakar 0 85 0 15 manager, and are intended to Mozambique Maputo 0 44 0 56 reduce management costs. Community Ethiopia Addis Ababa 0 0 0 100 Lower management costs Malawi Blantyre 0 N/V N/V 70 should reduce costs to the * In the community category we merge the delegated management model with direct consumer and avoid the contracting with a community group and the delegated management model with institution politically charged problem of support as discussed later in this section. non-payment and consequent Source: AICD WSS Survey, 2007. need to shut standpipes down. A pre-paid system also has the potential to provide more targeted subsidies, as the tokens for pre-payment can be distributed via existing safety net systems. Electronic pre-payment cards and vending machines are currently in use in South Africa and are being introduced in Lesotho and Namibia. In Zambia, as an alternative to vending machines, tokens or monthly cards are used. These systems allow for tariffs to be set at a unit rate that is lower than the smallest coin (Kariuki and others 2003; Brocklehurst 2004) and may allow for more efficient transmission of prices as they eliminate the middleman. In Lesotho, the water utility sells the pre-paid cards, which are also sold at retail outlets. In some instances, however, self-styled "operators" set up at the standpipes and offered higher priced tokens; while this can provide a convenience to some customers, information dissemination on formal prices and formal outlets is important. 17 PROVISION OF WATER TO THE POOR IN AFRICA Figure 3.1 Utility direct management models Free-of-charge standpipes Utility staff attendant Pre-payment systems Utility Utility Utility Water Salary Payment Salary Payment Standpipe operator / Consumer Standpipe operator Vending machine Water Payment Water Payment Consumer Consumer South Africa, Namibia, Lesotho, Zambia, Cape Verde, Sudan South Africa, Namibia, Madagascar, Nigeria Lesotho, Zambia The delegated management model In the increasingly common delegation model for public standpipes (figure 3.2), utilities either sign a contract directly with a standpipe operator, who maintains responsibility for paying the standpipe bill (and in some cases for maintaining the standpipe), or they sign a contract with a support institution. In the support institution model, the operators are then supervised by members of a water committee or supervised directly by local officials. The utility issues a bill for each standpipe at a bulk water price that is paid by the institution in the institution support model. In most of the cities studied, even though the water provided at the standpipes is subsidized, this subsidy does not reach the final consumers, who pay several times the subsidized rate. The selection processes for standpipe operators typically involves a community-level group or a local government representative, and is generally far from transparent, subject in many cases to local political influence. Existing case studies suggest that, over the medium-term, the delegation model has had very mixed results in terms of providing a reliable service with timely bill payment to the utility; in terms of providing a subsidized or "social" price to the end-consumer, as the next chapter will show, it has by and large not been effective. The cases that have been most successful have involved sufficient utility (or external) oversight and monitoring, thus adding to the costs of administering the schemes. Conversely, where the utility has delegated all aspects (management, monitoring, maintenance, oversight), it has often been at the cost of higher consumer prices, and break-downs in service. There are exceptions, particularly in areas with high social capital. 18 PROVISION OF WATER TO THE POOR IN AFRICA Figure 3.2 Delegated management models Direct contract Contract with institution support Utility Water Utility Water Payment Supervision of the service Payment Standpipe operator* Water committee Support institution** Water Payment Stipend Payment Consumer Standpipe operator* Water Payment Consumer Private: Benin, Burkina Faso, Private: Mozambique, Niger, Rwanda, Kenya, Senegal, Ethiopia, Malawi and Tanzania Mozambique and Malawi CBO: Lesotho, Madagascar, CBO: Zambia and Senegal Malawi and Tanzania * Standpipe operator can be a private individual or a community based organization ** Support Institution: Local leaders, local authority administrators or NGOs Another important disincentive to payment of standpipe fees is that standpipes receive less attention from the utility. In Maputo, standpipes account for less than 1 percent of total water consumption from the utility and less than 0.5 percent of total revenues for the utility (Boyer 2007). For certain cities with available data, we find similar low percentages for the utility's market share. In Dakar and Addis Ababa, standpipes account for 6.4 percent and 8 percent of total revenues respectively (Boyer 2007; AICD WSS database). The fact that standpipes comprise a small percentage of the utility business, together with the highly polititical reaction to shutting down the operation of standpipes when bills are unpaid, creates incentives for utilities to focus their attention on increasing their revenue base through better maintenance and improved billing collection from household connections. In some other cities, utilities informally admit to rationing water to standpipes in order to minimize losses. Community-based management Local leaders: There are wide variations on how communities and their representatives are involved in standpipe management and oversight. In some cases, utilities have assumed that local leaders will represent the broader public interest of their communities, and have handed over responsibility for operations and maintenance to these leaders (in parts of Maputo, Blantyre, Addis Ababa, and Dar es 19 PROVISION OF WATER TO THE POOR IN AFRICA Salaam). In these cases, performance of the standpost in terms of pricing, maintenance, timely bill payment and so forth, is largely a function of local social context, the skills in financial management and legitimacy of the local leader and the degree of oversight by an external party. In many cases, utility staff does not have the skills or personnel with time to assess these issues up-front, nor to monitor them sufficiently. Management by Community Organizations: In an effort to improve the accountability of standpipe/kiosk operators towards consumers, several schemes have implicated community organizations in management or oversight, and have been somewhat more effective than schemes that simply delegate management to a local leader. This is still very limited in urban and peri-urban areas of sub-Saharan countries and in those cases where there is not enough social cohesion, strong local power structures, and no oversight from a supporting institution, the model can also lead to corruption and mismanagement. In Blantyre and Lilongwe, community managed kiosks that had been developed with extensive community involvement were captured by local elites as soon as the mediating NGO left. In another case in Dar es Salaam, pricing policies did not cover standpost operation and maintenance, and voluntary community contributions (in kind or in cash) do not bridge the gap. The principle of community pressure only works where there is a mutually recognized sense of "community" and where there is personal security and common social values in confronting those who digress. Unlike rural areas, urban areas exhibit a greater degree of heterogeneity among different types of neighborhoods. Residents in some neighborhoods ­ for example in the outskirts of a city - may retain a sense of belonging to a community, know their neighbors, share social norms that can create "community pressure,"; in many other inner urban or core slum neighborhoods, residents may come from different ethnic or geographic areas and live in the area for a short time, without any of the social bonds that contribute to social capital, and face crime and insecurity that causes them to refrain from confronting someone who may not have managed a standpipe well. In such areas, information also may not circulate sufficiently on the accountability arrangements for a standpipe. In such areas, it is not clear that a designated "community" leader is accountable to any wider public. Political economy issues are central to many problems both with standpipe payment and with selection of who manages and captures revenues from standpipes. An example of the types of implementation challenges experienced with schemes involving communities and their designated leaders can be found in Maputo, Mozambique. In Maputo, communities would elect a neighborhood water commission which would, in turn, elect a caretaker for a standpipe responsible for maintenance of the water points, together with the collection of the consumers' payments. Although designed to be apolitical, local party structures in Mozambique are very strong, and some local leaders have ensured that they are represented in these commissions that are ultimately responsible for payment to the utilities. Many local officials interfered in the operation of the standpipes to an extent that far exceeded a mere oversight role. Since the utility encounters strong political opposition to shutting down a standpipe with a large account in arrears, non-payment of standpipe bills is very common. Local officials have an incentive to develop rent-seeker behaviours, for they can keep the money collected by the standpipe attendant, pay the attendant a small stipend and then withhold payment to the utility because they know that the utility will not close the standpipe. One study found that bill collection rates in Maputo were only 37 percent in 2002 and 44 percent in 2003 (Boyer 2007). As a result, few public standposts had ever had repairs, and many 20 PROVISION OF WATER TO THE POOR IN AFRICA have fallen into different levels of degradation. Similarly, in slum areas of Luanda, Angola, in the 1990s, where the informal price of water was extremely high, there were reports in some areas that local party leaders had taken over the revenue collection at standpipes to provide capital for local party activities. In schemes that have experienced problems, information dissemination to the broader community or consumers is often lacking. At the same time, community pressure only works when there is sufficient information dissemination. In the Mozambique case, a 2006 assessment confirmed that: (a) the majority of consumers did not know who water committee members were; (b) few consumers had a clear idea of the roles and responsibilities of the local structures for standpipe management and oversight; (c) and consumers generally played no role in the selection of management structures. Experience with schemes involving community organizations varies across countries and depends on the degree of social cohesion of the community, management capacity in the community and external monitoring. A WSP Report on the role of small and medium-size organizations providing water in urban areas stressed the limitations of community-based management models without enough external monitoring and support as: i) there is a tendency to minimize expenses by limiting the extension of the system; ii) although in principle based on the voluntary participation of members of the community to reduce operating and maintenance costs, actual management is often controlled by a small group that may not be representative of all the users and that monopolizes control of the finances (Vézina 2002). With such arrangements, elite capture remains a problem that requires strong institutional controls, and active monitoring. Some more recent models for community involvement integrate more sophisticated incentives, and monitoring to mitigate corruption by larger water user associations or NGOs. In Blantyre, Malawi, water users associations (WUAs) control as many as 70 water points each. The utility provides technical assistance, legally registers the WUA, and monitors operation of the standpost. The WUA employs both the kiosk attendants and meter inspectors. The latter check the meter readings; if there is a difference between the meter reading from the inspector and the amount of revenue collected, it is subtracted from the attendant's salary. Although the price of this water is 25 percent higher than at other kiosks, because the quality of service is monitored and reliable, households prefer to purchase from these kiosks than from their neighbors. This is not the case with other neighborhoods with kiosks. In Senegal (Dakar), about 15 percent of the public standposts were built through a partnership between the utility and NGO (Enda Tiers Monde). ENDA works with communities and local neighborhood associations (women's groups, self-help groups), and arranges for them to pay 25 percent of the capital costs of a standpipe which is built by the utility. Once operational, the utility bills a standpost operator selected by the community, and ENDA assists in the creation of a local water council. Private management Utilities also contract out the operation and management of standpipes to private managers on the premise that commercial management promotes efficiency and cost-recovery and avoids some of the implementation challenges noted above, but experience has also been mixed. Many utilities in African cities such as Cotonou, Ouagadougou, Niamey, Kigali, Nairobi, Dakar, Quelimane and Blantyre have leased their installations to private operators and sold the operators bulk water. There are two particular 21 PROVISION OF WATER TO THE POOR IN AFRICA weaknesses of the model: the poor transparency of the selection procedures for the standpipe operators, particularly when the municipality is involved in choosing the manager; and the lack of monitoring efforts by the water utility in collecting water revenues, ensuring good quality service and maintaining adequate tariff levels. Privately managed standpipes tend to be better Table 2.2 Type of standpipe/kiosk maintained (in working order) than those managed under management and percentage in good alternative schemes (table 2.2) but they are more expensive working condition for consumers. However, because of issues with utility Standpipe / kiosk % good working condition reporting and the sample size, this finding is not conclusive. operator The estimation problem arises as utilities may over-estimate Private 91 the number of properly working standpipes/kiosks if these are Utility 83 not regularly monitored. Community 74 Source: AICD WSS database This model is dependent on regular hours of supply and pressure of water to the standpipe by the utility. In the 1990s in Quelimane, Mozambique, private standpipe operators were invoiced according to fixed estimates of water consumption, but water supply was extremely limited and intermittent. Certain standpipe operators found it difficult to generate enough water revenues to pay back the water bill and did not have funds for adequate maintenance of the standpipes (SAWA 1997). 22 PROVISION OF WATER TO THE POOR IN AFRICA 3 Analysis of water prices, costs, and regulation The range for prices of water by service provider goes from 1.3 times the utility price for small piped networks to 10 to 20 times the utility price for mobile distributors (table 3.1). Standpipe prices include "formal"rates by the utility which differ from "retail" prices (referred to here as "informal" prices) faced by the consumer when there is a delegated management model. Table 3.1 Prices by water service provider HH Small piped Water Water Standpipe HH reseller connection network tanker vendor Country Largest city (US$/m3)* (US$/m3) (US$/m3) (US$/m3) (US$/m3) (US$/m3) Benin Cotonou 0.41 N/A 1.91 1.91 N/A N/A Burkina Faso Ouagadougou 0.90 N/A 0.48 N/A N/A 1.67 Ethiopia Addis Ababa 0.19 N/A 0.87 1.44 3.85 N/V Mozambique Maputo 0.96 0.98 0.98 0.98 N/A N/V Niger Niamey 0.52 N/A 0.48 N/A N/A 1.79 Nigeria Kaduna 0.17 N/A N/V N/V 3.43 5.71 Rwanda Kigali 0.44 N/A 1.79 1.79 4.48 N/A Senegal Dakar 0.37 N/A 1.53 N/V N/A 2.29 South Africa Johannesburg 0.05 N/A N/A N/A N/V N/V DRC Kinshasa 0.05 2.11 1.02 1.01 N/A N/A Ghana Accra 0.52 N/A 5.51 1.53 5.46 6.89 Kenya Nairobi 0.18 0.60 1.73 N/A 3.74 3.47 Lesotho Maseru 0.40 N/A 2.58 N/V N/V N/V Malawi Blantyre 0.12 N/A 1.16 3.38 N/A N/A Namibia Windhoek 1.45 N/A N/A N/A N/A N/A Sudan Great Khartoum 0.37 N/A 1.15 N/V 4.32 3.00 Zambia Lusaka 0.56 N/A 1.67 N/V N/A 3.00 Cape Verde Praia 2.67 N/A 9.44 N/A 9.67 11.38 Chad N'Djamena 0.22 N/V N/V N/V N/A N/V Cote d'Ivoire Abidjan 0.04 N/V 0.93 1.82 N/A 3.35 Madagascar Antananarivo 0.11 0.47 1.24 N/V N/A 2.33 Tanzania Dar es Salaam 0.39 N/V 0.87 0.98 2.40 2.56 Uganda Kampala 0.25 N/A 1.40 1.40 N/V 4.50 Average 0.49 1.04 1.93 1.63 4.67 4.00 Median 0.37 0.79 1.24 1.49 4.08 3.00 Min 0.04 0.47 0.48 0.98 2.40 1.67 Max 2.67 2.11 9.44 3.38 9.67 11.38 Overprice** 2.14 3.36 4.02 11.03 8.11 * 4 m3 / month ** Price SSIP/HH connection Source: AICD WSS database, Other Note: Data from 23 cities. Standpipe price is the "retail" otherwise referred to as informal price paid by the consumer at the tap. Standpipes In almost three quarters of the sampled cities,16 utilities had set a formal/wholesale standpipe price below the unit price for those with house connections, implying a "social" tariff or tariff reflective of the lower level of service.17 Only in Sudan, Madagascar, Tanzania and Ghana did utilities have a standpipe rate that was above that of household connection water. 16 Analysis based on data from 9 cities. 17 For this analysis it was assumed average household consumption of 10 M3 for house connections (60 l/c/d). 23 PROVISION OF WATER TO THE POOR IN AFRICA While standpipe water appears to be cross-subsidized by utilities, only in a minority of cases does this subsidy reach the ultimate water consumers. In 89 percent of the sample cities, the informal or retail standpipe unit price exceeded that for house connections (figures 3.1 and 3.2), in some cases by a large degree--as in Kinshasa, where consumers pay over 20 times the formal price. Thus the social tariff has not, by and large, been effective at reaching the end-consumer, who pays a median of three times the "wholesale" or formal price of water to the standpipe. 18 The cases of Burkina Faso and Niger are worth further exploration, as these were the only two countries (out of 18) that appear to have a social tariff that reaches the actual consumer (see figure 3.1). A social tariff is defined here as a retail/informal standpipe price that is below the unit price for water from a household connection. Key analysis should include both the management structures, incentives for these schemes, as well as the financial impact on the utilities themselves. Figure 3.1 Comparative water price from household connection vs. from standpipe Source: AICD WSS database 2007. Note: Unit price household connection based on assumption 10m3 consumption per household per month. In most cases, the utility sets a formal/wholesale price for standpipes that is below the price for house connections (table 3.2). The differential, or cross-subsidy, amounts to between $0.19 million per annum to $1.3 million per annum per country. In many cases, a significant percentage of this cross-subsidy is used by the standpipe operator. In the case of standpipes / kiosks that depend on the utility's water, the literature suggests that the underlying causes for higher informal tariffs are not driven by high operation and maintenance costs, but are, in some cases, linked to high profits (Whittington 1991; CollignonandVézina 2000; Brocklehurst and Janssens 2004; Gulyani and others 2005; Boyer 2007). The main reasons for this situation are as follows: (a) low operating and maintenance costs due to inadequate maintenance of the standpipes; (b) low water costs due to the existence of "social" tariffs subsidized by the government; (c) underpayment of water 18 Where there is a standpipe manager, the formal price refers to the wholesale price that the manager pays to the utility; where the utility takes care of operations and maintenance, the formal price is the suggested price. 24 PROVISION OF WATER TO THE POOR IN AFRICA bills to the utility; (c) low level of regulations / enforcement of formal and subsidized tariffs; (d) social factors (degree of community cohesion, community pressure or lack thereof, high crime). Figure 3.2 Formal and Informal standpipe prices 3,00 2,50 Formal Informal Water price (US$/m3) 2,00 1,50 1,00 0,50 0,00 re an o u ey i o a r ka u ou um la bi sa l am a ga ut ab er riv o ty ro ak pa j m sa on g ha id ap as to an Ki na la Ab ai ou ia D m Ab Lu ar ot Sa ns M M N Bl N na Ka d s C Kh Ki ga di ta es Ad ua at An ar re O D G Due to the combined factors of high informal prices and large population coverage by standpipes, the total gross profit19 captured by standpipe operators in economic terms is quite high. In the cities in which it could be estimated, the annual value of the gross profit ranges from $15,477 in Khartoum to almost $10 million in Lusaka. In relative terms, the gross profit captured by the standpipe operator compared to water revenues of the utility can represent a significant percentage: Maputo 12 percent, Addis Ababa 44 percent and Lusaka 120 percent. Because there is a great variability in costs by country, further research is needed on the factors that affect why some operators charge the maximum the market will bear (which may lead to high profits) while others appear to charge a level below the maximum rate for the informal sector. 19 Gross Profit = Revenues from water sales ­ Cost of water sales. This calculation does not include OandM ,other overhead costs, taxes and financial costs 25 PROVISION OF WATER TO THE POOR IN AFRICA Table 3.2 Formal and Informal standpipe / kiosk price Informal (US$/m3) Population coverage (%) Annual House- House- cross- Annual hold Formal hold subsidy gross connec. Stdpipe/ Country City (US$/m3) Min Max Avg. Rate conn. (%)* ($) profit ($) Conflict index (% kiosk Burkina Ouagadougou Faso 0.51 0.42 0.50 0.48 0.9 0.76 1,278,002 -164,241 Low 34 61 Niger Niamey 0.24 N/V N/V 0.48 2.0 0.36 191,293 375,635 Low 31 21 Ethiopia Addis Ababa 0.19 0.58 1.15 0.87 4.6 0.24 545,418 7,210,815 Medium 39 40 Dar es Tanzania Salaam 0.58 0.55 1.20 0.87 1.5 0.45 ­109,102 250,715 Low 29 4 Côte Abidjan d'Ivoire 0.45 0.60 1.25 0.93 2.1 0.06 Low 65 N/V Mozam- Maputo bique 0.31 0.31 1.51 0.98 3.2 0.38 224,480 2,078,976 Medium 26 26 DRC Kinshasa 0.05 N/V N/V 1.02 20.4 0.05 High 36 N/V Great Sudan Khartoum 0.92 N/V N/V 1.15 1.3 0.37 ­37,232 15,477 High 27 0.1 Malawi Blantyre 0.29 0.63 1.48 1.16 4.0 0.29 Low 47 N/V Madagascar Antananarivo 0.14 N/V N/V 1.24 8.6 0.06 ­394,068 5,360,254 Low 42 34 Uganda Kampala 0.39 0.25 2.00 1.40 3.6 0.74 214,305 612,383 High 30 5 Senegal Dakar 0.54 1.15 1.91 1.53 2.8 0.37 ­614,036 3,608,063 Low 77 19 Zambia Lusaka 0.19 N/V N/V 1.67 9.0 0.39 1,368,437 9,818,638 Low 27 58 Kenya Nairobi N/V 1.39 2.08 1.73 N/V 0.60 Low 51 41 Rwanda Kigali 0.44 N/V N/V 1.79 4.1 0.50 201,407 4,937,298 Medium 35 51 Benin Cotonou 0.41 0.50 2.50 1.91 4.7 0.63 Low 31 N/V Lesotho Maseru N/A 1.48 3.69 2.58 N/A 0.43 Low 36 N/V Ghana Accra 3.64 N/V N/V 5.51 1.5 0.52 Low 56 N/V Cape Verde Praia N/V N/V N/V 9.44 N/V 3.09 Low 34 60 Average 0.58 0.71 1.75 1.93 4.64 Median 0.40 0.58 1.51 1.24 3.40 Minimum 0.05 0.48 0.94 Maximum 3.64 9.44 20.40 Source: AICD WSS database 2007. * Household connection at 10m3/month 26 PROVISION OF WATER TO THE POOR IN AFRICA Although numerous utilities and governments had made an effort to set a "retail" price for standpipe water, in general, the final "informal" price tends to be fixed by the manager of the standpipe. To better understand the underlying causes of the high standpipe prices, it is necessary to assess who acts as a price-setting agent (table 3.3). For standpipes and kiosks managed by private individuals or community groups, the price is primarily fixed by the kiosk manager or the community group respectively. In standpipes managed by utility staff, there is no principal actor setting the price. The number of standpipes managed directly by utility staff has been decreasing in all the cities studied and their relative weight is marginal. Table 3.3 Price setting in standpipes/kiosks20 Price-setting agent Management (% of countries) Kiosk manager Utility Government Community Other TOTAL Private individual 47 13 27 0 13 100 Utility 0 14 29 29 29 100 Community 0 11 22 67 0 100 Source: AICD WSS database 2007. The delegated management contract model for public standpipes, used by close to three quarters of utilities studied, falls short in terms of effective regulation of standpipe prices. Under this model, individual standpipes are directly regulated by local authorities or community groups and indirectly regulated by the utility or the water regulator agency. It is generally acknowledged that both the regulator and local officials lack the capacity, resources and incentives to regulate and monitor this activity. There is evidence of the lack of standpipe control in many cities, including the following: Dakar; Addis Ababa; Maputo; Kampala; Maseru; and Dar es Salaam. Household water resellers21 In general, household water resellers emerge largely as a result of malfunctioning or absent standpipes, or because of high connection costs. In two-thirds of the cities studied, the informal household reseller price is similar to the informal price for standpipes (figure 3.3). However, two cities are exceptions to this trend­ Accra and Blantyre ­ because of supply-chain specificities. The vast majority of kiosks in Accra are supplied by water tankers; they have to pass-through the cost of the transport by water tankers. Discounting this cost, the water price of a household reseller is quite similar to the standpipe informal price. In Blantyre, certain parts of the city experience a huge increase in the price of water due to restrictions on the supply side. A couple of years ago, the price of water from the household resellers was equal to the informal price of the standpipes (Chriwa and Junge 2007). 20 Analysis based on data from 15 cities. 21 Analysis based on data from 9 cities. 27 PROVISION OF WATER TO THE POOR IN AFRICA Figure 3.3 Costs and informal prices of household water resellers and standpipes / kiosks 6,00 5,00 4,00 Cost of water tanker $/m3 3,00 2,00 1,00 0,00 Addis Cotonou Accra Abidjan Maputo Blantyre Kampala Kigali Dar es Ababa Salaam HH reseller cost of water standpipe/kiosk informal price HH reseller informal price Source: AICD WSS database 2007. The average household water reseller sells water at three times its cost (table 3.4). This generally covers the cost of water sold, plus their own consumption, and in some cases provides a small amount of extra income. Household water resellers face an increasing block tariff (IBT) in most of the countries studied, and can be charged a high tariff even if the final costumers are low-income households (Whittington 1992; Collignon and Vézina 2000). It is not clear whether increasing block tariffs (IBT) are hurting the poor by increasing water costs of household resellers. In many countries, the IBT has defined large "social" blocks in terms of consumption, and the difference between the prices paid by the different blocks is small (Komives and others 2005; Banerjee and others 2007). 22 As some utilities have not kept pace with metered consumption, but rather charge based on flat or estimated rates, the volume of water sold through household resale can represent a significant loss of income for the utility (as the case in Mozambique illustrated). In these cases (as in Maputo), the household reseller can make a substantial profit. Payment mechanisms to household resellers include monthly payment schemes, as well as payment by bucket. Case studies point to the importance of personal relations and mutual trust in determining which scheme is used, but also in determining prices. In Maputo, Mozambique, 40 percent of household resellers had monthly payment agreements; standpipe managers started to offer such schemes to customers also in order to compete with household resale (Thompson, SAL consultants, 2007). 22 In the case of Côte d'Ivoire, the resale of water by household consumers is a regulated activity, and therefore there is a record of the average amount sold per reseller, which is 40m3/month (Kariuki and others 2003). This level of consumption, which represents 5 people per household consuming 40 l/c/d (6.7 households/household reseller), is the one used for estimation of the water costs of the household reseller. 28 PROVISION OF WATER TO THE POOR IN AFRICA An important area for future research relates to how formal water tariffs and quality (hours of service) affect the household resale market. If policy makers increase prices in the formal sector in an effort to make pricing more equitable, this may harm the lower income purchaser of household resale water more than the seller. At the same time, if the utility improved hours of supply and pressure of water, and if the resale market is competitive, this could serve to lower prices, particularly where there are flat or estimated payments on household connections. The one case providing time series data on this is in Maputo, Mozambique. In Maputo, the unit price of water from a household connection had increased by 340 percent between 2001 and 2006, but the price increase from household resale increased by only 223 percent. While the formal price of water had increased over this period, many of those with yard taps who were reselling water continued to be metered on estimated (likely lower than actual) consumption. Table 3.4 Prices charged by formal and informal standpipes / kiosks and by household water resellers Standpipe / kiosks Household resellers Informal Informal Formal Min Max Average Rate Cost* Min Max Average Rate City (US$/m3) (US$/m3) (US$/m3) (US$/m3) (inf/for) (US$/m3) (US$/m3) (US$/m3) (US$/m3) (inf/cost) Addis Ababa 0.19 0.58 1.15 0.87 4.6 0.36 1.2 1.7 1.44 4.0 Cotonou 0.41 N/V N/V 1.91 4.7 0.79 N/V N/V 1.91 2.4 Accra 3.64 N/V N/V 5.51 1.5 0.63 N/V N/V 1.53 2.4 Abidjan 0.45 0.60 1.25 0.93 2.1 0.53 1.5 2.1 1.82 3.5 Maputo 0.31 0.31 1.51 0.98 3.2 0.62 0.6 1.1 0.98 1.6 Blantyre 0.29 0.63 1.48 1.16 4.0 0.51 0.8 8.4 3.38 6.6 Kampala 0.39 0.25 2.00 1.40 3.6 0.67 N/V N/V 1.40 2.1 Kigali 0.44 N/V N/V 1.79 4.1 0.63 N/V N/V 1.79 2.9 Dar es Salaam 0.58 0.55 1.20 0.87 1.5 0.50 0.8 1.2 0.98 2.0 Average 0.74 0.49 1.43 1.71 3.24 0.58 0.99 2.92 1.69 3.05 Median 0.41 0.56 1.36 1.16 3.63 0.62 0.84 1.73 1.53 2.45 Min 0.19 0.25 0.87 1.51 0.36 0.65 0.98 1.60 Max 3.64 2.00 5.51 4.66 0.79 8.44 3.38 6.63 Source: AICD WSS database 2007, other. * Household reseller cost is calculated using domestic tariff 40m3/month Reselling of water by households with private connections is commonly believed to be illegal in Sub- Saharan cities (Collignon andVézina 2000; Kariuki 2003; Boyer 2007), but only 4 out of 15 cities in the study with prevalence of household water resellers23 explicitly prohibit the resale of water by households (table 3.5). Only 3 cities have legalized household resale and require a permit for this business. In the majority of cases, a confusing legal limbo prevails; household water resellers are neither prohibited nor legalized. Even if regulations are in place prohibiting household water resellers, they are not enforced, as in Dakar or Dar es Salaam. Utilities and government simply do not control and rarely contest this practice, and in the case of Kampala the practice is encouraged in areas at the end of the network. Detailed case studies that highlight the importance of this source in allowing access where standposts or 23 See Table 8 29 PROVISION OF WATER TO THE POOR IN AFRICA individual connections have not kept pace point to the serious impact prohibition of this source would have on poor urban households. Given the coverage gap and the ready Table 3.5 Regulation of household water resellers distribution system that household resellers provide, Country City Prohibited License a valid question is whether to explore methods to Benin Cotonou no no partner with private households to increase Ethiopia Addis Ababa no no coverage. Abidjan is one of the few cities with Mozambique Maputo no no experience in attempting to regulate this sector, Nigeria Kaduna yes N/A though they also the focus was on removing illegal Rwanda Kigali no yes connections; although the results have been Senegal Dakar yes yes disappointing because of a lack of incentives, there Lesotho Maseru N/V N/V is still potential to explore better mechanisms for Malawi Blantyre N/V N/V using this source. In the early 1980s, the utility DRC Kinshasa no no SODECI and the national government decided to Sudan Great Khartoum yes no address the increasing growth of household water Zambia Lusaka no no resellers that tapped in to illegal connections to the Ghana Accra no no network. They would provide permits to the Chad N'Djamena no N/V household water resellers as long as they converted Cote d'Ivoire Abidjan no yes their connections into formal ones. The expected Madagascar Antananarivo no no outcomes were an increase in sales among the poor, Tanzania Dar es Salaam yes no a reduction in illegal activity and an improvement Uganda Kampala no no in revenue collection. The campaign did not % yes 24 18 provide any incentive to the resellers; they were Source: AICD WSS database 2007. billed as domestic customers and faced an increasing block tariff (IBT). Moreover, the water vendor was required to provide a title deed for the permit and to invest in an extension from the meter to the water point. As a result, only 1 percent of the total resale at the household level is currently conducted through legalized resellers (Kariuki and others 2003). Mobile distributors24 Mobile distributors charge the highest prices among all the different water service providers. The water delivered by water tankers and carters costs between $2 and $8 per cubic meter. But the economic burden among the unconnected people in different cities is not evenly shared. There are cities where the lack of access to the network makes unconnected people heavily reliant on water tankers, as in Accra and Luanda, or heavily reliant on water vendors, as in Khartoum. Figure 3.4 presents a comparison of the prices of water tankers and water vendors in cities where data is available. There is little difference between the unit sale price of water tankers and water vendors, probably because of the strong competition between the two for the provision of water to certain types of clients. 24 Analysis based on data from 15 cities. 30 PROVISION OF WATER TO THE POOR IN AFRICA Figure 3.4 Prices of water tankers and water vendors 12,00 10,00 Price of water (US$/m3) 8,00 6,00 4,00 2,00 0,00 a re na a e a r n r da so a da al ria ca e ny rd ni i bi da oi op g ig ha n Fa n e za Ve m as ne Ke Iv Su ga N wa ig hi G Za n d' ag Se N a Et U e Ta R in e ap ad rk ot C M Bu C Water vendors Water tankers The high price charged by mobile distributors is Table 3.6 Operating accounts for mobile generally justified by high transport costs. The distributors in three cities literature reveals that carters do not yield large profits Tanker Vendor on the water that they sell; actually, the salaries that USD/m3 Luanda Accra Khartoum they earn are among the lowest in their cities Sale Price 5.46 5.46 3.00 (Collignon and Vézina 2000; Kariuki and others Transport costs 3.85 4.09 1.53 2003). Table 3.6 illustrates this reality in Accra, Water costs 0.44 0.55 0.84 Khartoum and Luanda, where water supply systems Profit 1.17 0.82 0.63 for the unconnected are mainly based on mobile Profit (% income) 21 15 21 distributors, either as wholesalers or retailers. The Source: For Luanda, Development Workshop 1995; for Accra, profits that these distributors make are not very high; Sarpong and Abrampah 2006; for Khartoum, Gadir 2006. in the case of carters, sales are relatively low level, and carters barely make a subsistence salary. Even at zero profit, the water prices are very high in volumetric terms. Two of the places where there is a buoyant mobile water sector are in Luanda, Angola, and Accra, Ghana; in these cities, empirical studies show that the market is quite competitive. However, this does not necessarily imply low prices compared to other water service providers. Almost half of the cities that have water tankers in operation to supply water have regulations in place (table 3.7). The utility emerges as a minor player in the operation of water tankers. The formal and informal private sectors are the main operators in 4 out of 9 cities with water tanker supply. When the formal private sector is the main operator, the market is more competitive than when the informal sector is the main operator. These results should be taken with certain reservations because they are based on impressions by utility staff, and not necessarily based on empirical analysis. 31 PROVISION OF WATER TO THE POOR IN AFRICA Table 3.7 Regulation of water tankers Country City Regulated Regulated Ethiopia Addis Ababa yes 1 Nigeria Kaduna no 2 Rwanda Kigali no 2 South Africa Johannesburg no 2 Ghana Accra no 2 Kenya Nairobi yes 1 Sudan Great Khartoum yes 1 Cape Verde Praia yes 1 Chad N'Djamena yes 1 Tanzania Dar es Salaam no 2 Uganda Kampala no 2 Source: AICD WSS database, 2007. Small piped networks The price charged by small piped networks is slightly higher than the prices charged by the utility for a household connection. In the cities studied, the prices charged by small piped networks range from $0.47/m3 in Madagascar to $2.11/m3 in the DRC. Since small piped networks are a relatively recent solution to inadequate water supply, less is known about the costs that they bear or their performance according to management by private individuals or by community groups. Half of the cities do not have regulations that control the number of boreholes or restrict the amount of water withdrawn from them. For those cities in which regulations exist, regulations are unclear or rarely enforced. As utilities expand service into peri-urban areas, they are likely to increasingly operate in areas where these boreholes and small piped networks exist, and the pressure is likely to grow to either put them under the purview of the utility or to regulate them. Although there are limited data, analysis of SPNs shows most of the cities do not regulate these activities. An indicator for measuring the distortion in the water sector Two main conclusions emerge from the overall price analysis. First, households without private connections or yard taps pay unit water prices significantly higher than those with these connections. Second, the prices for each water provider in the informal sector show a greater degree of variability than the prices for water offered by utilities to connected households. The standard deviation of the prices for each informal water service is 1.3 to 5 times higher than the price of water for connected households. There can be a great degree of variability in prices in different neighborhoods within the same city. Figure 3.5 shows the price ranges by water provider. In the case of the standpipes/kiosks, the Cape Verde example is highlighted because its high price is directly related to its very specific water production system; the red mark represents the upper value from comparison cities. 32 PROVISION OF WATER TO THE POOR IN AFRICA Figure 3.5 Price by water service provider 14,00 12,00 Cap e Verde 10,00 8,00 US$/m3 6,00 4,67 4,00 4,00 2,00 1,93 1,63 1,04 0,49 0,00 HH connect. Small Piped HH reseller Stdp-kiosk Water vendor Water tanker Network Source: AICD WSS database 2007; other. The growing importance of the informal water market is forcing policymakers to assess the impact of their policies on this market segment both in terms of its coverage, but also in terms of how higher prices influence informal market prices and access to improved water. In countries where the formal sector water market is unable to keep pace with urban growth yet has low tariffs, and the informal market thrives, one might find a large distortion between the formal and the informal water price. At the same time, if a utility is not recovering costs because its formal tariffs are too low, it may be less able to keep pace with service expansion and one would expect the distortion to grow. In order to measure both the weight of the informal sector, and the degree to which its prices exceed those in the formal sector, one can use the weighted average informal overprice (WAIO), calculated as follows: P C i i WAIO i P C c i i Where: Pi: End-user price of each water service provider (US$/m3) Ci: coverage of each water service provider (percent) Pc: end-user price of residential customer 10m3 (US$/m3) i: type of water service provider Since the overall WAIO applies to all water service providers, including the household connections provided by the utility, the calculation indicates the total disruption at the city or urban level. It can be 33 PROVISION OF WATER TO THE POOR IN AFRICA hypothesized that efficient coverage and functioning of formal networks is associated with lower informal prices (figures 3.6 and 3.7). The burden of service disruption is unequally shared between the connected and the unconnected households, because connected households enjoy the low price charged by the utility, whereas the unconnected have to face the high prices associated with the rest of suppliers. For this reason, if one wants to assess how distorted the market is for the unconnected versus the connected, the WAIO can also be calculated just for the unconnected population. 25 Figure 3.6 Urban WAIO (HH consumption 4m3/month) 25 20 15 WAIO = 1 10 5 0 re so e a r da ia na o a ca ia ia l n i a ga r qu ric aw oi ge th Fa bi an ny ni ib op an as Iv ha m ne so bi Af Be m al Ni Ke nz hi d' am ag Rw a Za G M Na Se Le h in Et Ta te ut ad rk oz Co So Bu M M Total Unconnected Figure 3.6 Urban WAIO (HH consumption 10m3/month) 25 20 15 WAIO = 1 10 5 0 re so e a r da ia na o a ca ia ia l n i a ga r qu ric aw oi ge th Fa bi an ny ni ib op an as Iv ha m ne so bi Af Be m al Ni Ke nz hi d' am ag Rw a Za G M Na Se Le h in Et Ta te ut ad rk oz Co So Bu M M Total Unconnected Source: AICD WSS database 2007. 25 See Appendix 5-2 34 PROVISION OF WATER TO THE POOR IN AFRICA The median value of the total WAIO varies between 2 and 2.7 for the total population and for the unconnected population only between just under 4 and 4.5, depending on the assumptions on household consumption.26 The data thus confirms that inadequate water supply by water utilities places a heavy burden on the unconnected population. Burkina Faso has a low WAIO because its informal/retail standpipe price is actually below that of house connections.27 South Africa and Namibia have WAIO's close to 1 because they have high levels of formal connections, and low prices for alternatives (including standpipes). In contrast, despite having one of the highest household connection rates (77 percent), urban Senegal has a WAIO for the unconnected population of 4.15 but an overall WAIO of only 1.42, reflecting the relatively high unit prices faced by the minority of urban residents without connections, but the high overall coverage rate. There are three important caveats of this indicator: First, it does not include owned or free resources such as private wells or the fetching of water directly from a river. Second, it measures the higher price of water compared to the price for the household connection. In certain cities with a formal standpipe price that is highly subsidized (with a substantially higher household connection price), the informal standpipe price might be equal to or slightly higher than that of the household connection. As a result, the coefficient is close to one, whereas the ratio of the informal over the formal standpipe price could be much more than one. Third, this analysis does not consider service quality measures such as distance to the supplier, time needed to collect the water or water quality and pressure. This measure does provide an indication of distortions in the urban water market and help to better track the impact of policies on access and price for the whole water market, not just for the connected market. In Mozambique, the regulator (CRA) regularly carried out consumer assessments to measure formal and informal water prices, coverage, and quality. While the WAIO calculated above uses DHS data and thus provides cross-country information, it does not specifically include the household reseller market, for which there is almost no comparable cross-country data. Nonetheless, the case of Maputo, Mozambique, which throughout its urban water reform process has tracked prices and coverage of both the informal and the formal water market through detailed beneficiary assessments, allows one to calculate the full WAIO below (table 3.8). The results confirm the order of magnitude of the calculations performed at the urban level with DHS and AICD data. The median value of the total WAIO on a consumption of the water volume of 10m3/month with DHS and AICD data is 2.08, and rises to 2.57 for the unconnected population. The median value of the total WAIO on a consumption of the water volume of 10m3/month based on the Maputo data is 1.62, and rises to 1.82 for the unconnected population (BA Maputo 2006). 26 On a consumption of the water volume of 4m3/month, the median value of the total WAIO is almost 2, and rises to almost 4 for the unconnected population. For the water volume of 10m3/month, the median value of the total WAIO is 2.7 and rises to 4.5 WAIOs for the unconnected population. Another important clarification is that the water price used for the household connections has been calculated assuming the same level of consumption for all countries, both at 4m3/month and 10m3/month level. More detailed analyses are needed to understand the effect that real consumption levels have on the price, and therefore in the calculation of the indicator. 27 Based on price data as reported under the AICD by utilities, and coverage data as reported by DHS. 35 PROVISION OF WATER TO THE POOR IN AFRICA Table 3.8 WAIO in Maputo Coverage Price (%) (US$/m3) Adem connection 22.8% 0.44 SSIP connection 11.5% 0.88 HH reseller 25.8% 0.81 Public standpipe 14.3% 0.58 SSIP standpipe 11.4% 0.92 Pvt B/H /neighbours 6.9% 0.99 Own B/H 5.6% 0.00 Public handpump 1.9% 0.00 Total 100% Source: BA Maputo 2006 WAIO (total) 1.62 WAIO (unconnected) 1.82 The lack of attention to standpipe pricing and management issues, together with the constraints that utilities face in expanding service to a rapidly growing population, means that in low coverage countries, the poor remain largely outside of the formal sector. This indicator provides a more accurate picture of the reality faced by all of the urban population in low coverage countries than formal coverage and prices alone, and can therefore provide a useful tool for monitoring purposes before and during reform processes. 36 PROVISION OF WATER TO THE POOR IN AFRICA 4 Conclusions Utilities in African cities have not been able to keep up with the rapid pace of urban growth, in spite of increasing the number of water connections. As a result, the urban populations with no direct water connections are expanding. This paper assesses the current level of knowledge and data on this important segment of water consumers, and identifies priorities for further research. Public water provision to the unconnected Water supply through public standpipes has been the most common public solution to extend improved water services in newly developed areas in the city and to an increasing slum population. Standpipes are the most important source for the urban unconnected population, according to utility data; household survey (DHS) data confirm that all types of standpipes (not just public) accounted for 28 percent of urban coverage in surveyed countries, the most important source after house connections. However, this coverage has generally been overestimated for a variety of reasons; many public standpipes (almost one-third) are nonfunctional. There has been a shift away from provision of free public standpipes managed by utilities to the delegation of standpipe management to private operators, to communities, or to community leaders. Only 27 percent of the utilities sampled still had standpipes free of charge. Delegation represents an effort to reduce the management burden (and cost) on the utility. The experience with different management models has been very mixed, both within cities and among cities, and has generally not resulted in the provision of a lower cost service. While standpipes theoretically can offer a lower cost service to a larger number of consumers, there have been significant implementation challenges with these schemes. In particular, delegating standpipe management to community leaders or groups has run into problems when such schemes assume that complex urban social environments have well formed "communities". Urban areas within cities are often heterogeneous, with varied levels of social capital and community cohesion. Failure to take this context into account has led in some cases to political involvement in the selection of standpipe managers, to the "capture" of kiosks or standpipes by local elites or individuals with little accountability to consumers, to a failure to pay utilities because of the known political cost of shutting off standpipes for non-payment and to the provision of a low quality service at a higher price. Private contractors can increase the efficiency of water provision, but they also tend to increase the cost to the consumer. In general, many standpipe management schemes have lacked a focus on information sharing to broader groups of consumers (on prices, management structures, feedback mechanisms, or recourse for mismanagement), and transparency in the selection and management processes. Further, regulators have, by and large, not provided sufficient attention to monitoring, pricing or quality issues in this sub-sector. Utilities are often not well equipped to deal with these political economy issues. The culture of many utilities, particularly those without incentives aligned to broader policies of expanding access, tends to center around technical aspects of service delivery, and meeting financial performance targets. Further, 37 PROVISION OF WATER TO THE POOR IN AFRICA utilities have little incentive to prioritize attention to this sector, as in many large cities, standpipes account for a small portion of revenues (typically less than 10 percent); in some cases, this leads to a low level equilibrium where a minimal amount is invested in standpipes that tend to offer low levels of service and bring in little revenue. Thus, cost recovery from standpipes tends to be low, and in response, some utilities informally ration water to standpipes to limit losses or allow them to fall into disrepair. The result of some of these implementation problems has been higher prices for standpipe water to consumers, in spite of "social" tariffs for almost three-quarters of sampled cities. In 89 percent of the sample cities, the informal/retail standpipe unit price exceeded that for house connections, often by a significant margin, and tended to align with the going rate in the informal water market. At the same time, the formal or wholesale standpipe price falls far below the retail/informal price that consumers actually pay. Analysis of maintenance and management costs suggests that this price difference represents a substantial transfer of profits from the utility to the standpipe manager, rather than a reflection of operating costs. Among the cities studied, this transfer can represent between $0.19 million to $1.3 million per annum per city. Thus, while standpipes are already heavily subsidized by utilities, almost none of this subsidy reaches the ultimate consumers of the water. The trend towards high standpipe prices, declining service levels, and in some countries, lower effective standpipe coverage has implications for the poor. In countries that already have relatively high price structures, this could lead to a shift from improved to unimproved sources of water. A clear indicator of "stress" on this front can be seen in the diversity of sources used; in countries such as the Copperbelt region of Zambia in 2000, most households used one source of water because coverage was relatively high and formal water prices relatively low. In countries where prices begin to approach affordability limits, households ration the use of standpipe water for drinking/cooking and seek other sources for other uses, further adding to the time burden on the household. Standpipe schemes that have succeeded have generally had more monitoring by a supporting institution ­ whether the utility, or outside groups (such as larger more formalized water associations with accountability procedures, or larger more professional NGOs). Monitoring by a supporting institution can add to the administrative cost. Successful schemes have also involved taking the social context and level of social cohesion into account in determining management structures and arrangements. This implies increasing the "soft" skills of utility staff to be able to assess local market and social conditions. Finally, more successful schemes have included well-thought-through checks and balances to minimize political interference in management and rent-seeking behavior by standpipe managers. Service of good quality at a fair and transparent price is directly associated with dedicated participation of the utility in the model in monitoring the adequate status of the standpipes, regularly collecting the water revenues, and providing technical assistance to the standpipe operators. It is essential to define a good set of incentives so that the utility maintains an interest in participating in the standpipe business. One promising standpipe model is that of the pre-paid standpipe, currently being implemented in Lesotho, South Africa and Namibia. This promises to reduce management costs for the utility (although the up-front cost of the equipment is not low), and do a better job of passing lower tariffs onto the end- consumer. It must be noted, however, that even with this service, it is important to ensure good publication of prices and management arrangements because these could be "captured" as well by local individuals. 38 PROVISION OF WATER TO THE POOR IN AFRICA Overall, beyond the review of case studies, there is little empirical cross-country data to refine the analysis of the characteristics of well functioning standpipes. However, most of the case studies reviewed point to the importance of maintenance, monitoring and the site-specific social and competitive water context (the existence of alternatives to the standpipe). This suggests that one solution for better management should include more flexibility at the design and siting stage. The informal urban water market A thriving "informal" water market has stepped into the coverage gap. The three most common providers in this market consist of people who resell from their network house connection, independent small piped systems or kiosks not attached to the network supply, and mobile vendors or water tankers. By far the most significant informal water source consists of those who resell from their household connection, particularly in medium-low coverage countries (70 percent of surveyed utilities noted that this was common). In the few places where resale has been measured, the sales volume of this market can be significant (for example, US$1.5 million in Maputo in 1996) and can actually exceed the total residential sales volume received by the utility. This source can account for as much as one third of overall coverage in a city, and more than this among the unconnected urban population, particularly in cities with low to medium levels of connection, with high up-front costs to connect to the network, or where utilities are simply unable to respond to requests for connections. Households, particularly those in high crime "inner" peri-urban areas, often prefer to buy water from their neighbor instead of relying on a standpipe because of distance and time factors. However, many also use this source because it is the only one available (particularly as standpipes break down). In addition, low income households may not have a sufficiently steady income to allow for their own household connection. However, a 2006 study in Mozambique showed that 40 percent of those purchasing from neighbors had established monthly payment systems that were more cost effective per unit.28 This points to the importance of understanding the composition of the unconnected consumers in determining the appropriate service mix. Despite the common belief that water reselling by households with private connections is illegal in African cities, in reality water resellers are neither prohibited nor legalized in many cities; utilities and governments simply do not control and rarely contest this practice. In the cities with available data, standpipes acted as price-markers for the household water reseller price and vice versa. Mobile water vendors and tankers, although more visible, provide water to a small portion of the overall water market in all but a few countries. Those countries that rely on mobile water vendors have some specific physical or supply constraints (as in Khartoum, Accra, and Luanda). SSIPs, typically kiosks or small piped systems, are among the fastest growing informal water source as they generally offer a good level of service and hours of supply because they are not dependent on network sources. However, SSIPs tend to be important in niche areas of cities that are generally just beyond the network and can represent between 9 percent and 12 percent of a city's water coverage. 28 Thompson, SAL Consultants 2007. 39 PROVISION OF WATER TO THE POOR IN AFRICA An issue likely to emerge in the next ten years will be the increasing competition between utilities and private operators, particularly SSIPs, as utilities expand their network and begin to operate in the same areas as these providers. This will likely raise issues about whether utilities should explore contracts with these providers, or seek to regulate their prices. All water service providers are interconnected in terms of the final price offered to the consumer. The more disrupted the piped water system is, the higher the price in the informal sector compared to the formal sector. Inadequate water supply by utilities places a heavy burden on the unconnected population as a whole. Considerations for policy makers Meeting the MDGs: the service mix Recent literature on Africa has highlighted the challenges ahead in terms of meeting the Millennium Development Goals for water access, given gaps in infrastructure financing and institutional constraints in terms of utility efficiency and capacity. In light of limited resources, policymakers may look towards greater focus on standpipes at the expense of household connections to increase coverage more quickly at lower cost. However, there is a significant discord between the policy goals and the incentives faced by utilities; to date, most utilities have only extended standpipes to the degree that they also extend household connections that allow them to cover the cost of service extension. Clearly, if one were to shift towards a greater proportion of standpipes in the service mix, this would require a substantial shift in strategy and incentives for utilities, both in terms of better management and monitoring, but also in terms of the pricing structure and financial gain for the utility. Under the current pricing and management schemes, moving this approach to scale is not likely to be financially sustainable. As noted above, this will also likely require some investment by utilities in "soft" aspects of service extension; indeed, one option would be to re-direct subsidies that currently benefit connected customers and standpipe managers to support this capacity in human resources in the utilities. New standpipe models, such as the pre-paid standpipe, should be closely monitored as they may provide a viable solution to some of these challenges. If utilities continue to ignore this sub-sector, there will be consequences for the poor. In some cities with higher connection rates (Johannesburg, parts of Dakar), standpipe customers are often primarily the poor or those who have been disconnected. Eliminating standpipes, or allowing them to deteriorate, would have a negative impact on this population. In other countries, standpipes serve a more heterogeneous group of consumers, including those who may be eligible for house connections, and those who are able to purchase from neighbors. Policymakers and utilities need to better understand the nature of their standpipe customer before eliminating or reducing their attention to this source. An obvious option for expanding coverage would be to further explore the existing distribution mechanisms of resale of house connection water. To start, if better data were available on this sector, one could conceivably include in coverage estimates those purchasing water from households with connections; if this were done, indications suggest that formal coverage rates in Africa would increase substantially. 40 PROVISION OF WATER TO THE POOR IN AFRICA There are several advantages to household resale of water. It can reduce the burden of bill collection on the utility, and for consumers who have trouble managing a monthly payment (which is the majority of those in the informal sector), household re-sale offers a "middle ground" between standpipe and house connection service. However, this source is not necessarily equitable in terms of access (it can be denied at will and pricing is often different depending on whether one is known or not) nor in terms of prices compared to the person paying for a house connection. Nonetheless, for countries where utilities face financial constraints in terms of service extension or where the next incremental customer is unlikely to be able to sustain the monthly cost of a house connection, there is potential to better explore partnerships with private individuals over resale of water. This would imply focusing public efforts on providing good models for equitable pricing among neighbors, and providing support for safe storage of water. Better monitoring indicators For countries with a significant informal sector, surveys and policymakers should consider monitoring not only the formal sector water prices and access, but also informal sector prices and market share (for example, using the WAIO measure introduced here). This is particularly true during periods of water sector reform, and would provide a better indication of the health of the overall water market. Mozambique provides a good example of how this was done over time. In addition, in assessing the impact of higher formal tariffs, it would be useful for standardized surveys to assess and track the number of water sources per household over time, and to explore whether this is driven by supply constraints or by price. The use of multiple sources can be one sign of stress in terms of pricing. Regulators need to play a greater role in monitoring the standpipe sector, including the number of operational standpipes and quality of service (in terms of price, water pressure, hours of service operation). More transparency in pricing, increased social accountability and feedback mechanisms One way to increase the transparency of pricing mechanisms could be through the intensive publication of formal prices and of management arrangements and responsibilities to broader groups of consumers. This would increase the accountability of standpipe operators and could potentially place downwards pressure on prices. To improve the efficiency of this sector, and potentially reduce the amount of resources that are currently "captured" by middlemen, steps could include the following: provide regular feedback mechanisms for consumers; conduct beneficiary assessments to assess whether consumers are even aware of the responsibilities of the operator or rights of the consumer; monitor retail standpipe prices.It is likely that utilities will need to follow the example of standpipe arrangements that have been more successful, and invest in adequate incentive structures and monitoring. However, doing so may reduce the profit levels of standpipe managers, and allow the utility to raise the wholesale price for standpipe water. Priorities for future research Given the importance of the unconnected market, there are several priorities for future research. These include: expanding the empirical cross-country research on management models (and management costs) for public standpipes; assessing the size and price of the resale market and improving existing 41 PROVISION OF WATER TO THE POOR IN AFRICA cross-country household surveys to reflect the major providers in this market; developing more accurate assessments of the percentage of public standpipes that are functional and/or disconnected and reasons for non-functioning; exploring factors behind the variations in retail pricing of public standpipes; and tracking and better understanding how changes in formal tariffs for house connection customers feed into informal tariffs in the resale market. 42 PROVISION OF WATER TO THE POOR IN AFRICA References Albu, M., and Njiru, C. 2002. The role of small-scale independent water providers in urban areas. Water lines. 20(3): 14-16. Allen, A., Dávila, J.D., and Hofmann, P. 2006. The peri-urban water poor: Citizens or consumers? 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Small Scale Private Sector Participation in Niassa Province, Mozambique. A Case Study: Estamos-Organizaçao Comunitaria. Unpublished work. SAL (Thompson). 2007. Avaliaçao de satisfaçao dos consumidores: abastecimiento de água na aglomeraçao de Maputo. Relatorio final. Maputo, Mozambique: Conselho de Regulaçao do Abastecimento de Água. Unpublished work. SAWA. 1997. Beneficiary Assessment on Urban Water in Mozambique: Maputo and Quelimane: República de Moçambique. Ministério das Obras Públicas e Habitaçao. Direcçao Nacional de Águas. Senegal Collignon, B., and Vézina, M. 2000. Independent Water and Sanitation Providers in African Cities Full Report of a Ten-Country Study. Washington, DC: Water and Sanitation Program. Brocklehurst, C., and Janssens, J.G. 2004. Innovative Contracts, Sound Relationships: Urban Water Sector Reform in Senegal, Water Supply and Sanitation Sector Board Discussion Paper. Washington, DC: The World Bank. Lauria, D.T., Hopkins, O.S., and Debomy, S. 2005. Pro-Poor Subsidies for Water Connections in West Africa, Water Supply and Sanitation Working Notes. Washington, DC: The World Bank. Sudan Cairncross, S., and Kinnear, J. 1991. Water vending in urban Sudan. International Journal of Water Resources Development. 7(4): 267-273. Elamin, M., and Gadir, A. 2006. A study of small water enterprises in Karthoum. Leicestershire: Water, Engineering and Development Centre. Loughborough University. 49 PROVISION OF WATER TO THE POOR IN AFRICA Tanzania Water Aid 2001. Private sector participation in Dar es Salaam, Tanzania. Collignon, B., and Vézina, M. 2000. Independent Water and Sanitation Providers in African Cities Full Report of a Ten-Country Study. Washington, DC: Water and Sanitation Program. Kjellén, M. 2006. From Public Pipes to Private Hands: Water Access and Distribution in Dar es Salaam, Tanzania. Stockholm: Stockholm University. Materu, L., and Mkanga, M. 2006. A study of small water enterprises in Dar es Salaam. Leicestershire: Water, Engineering and Development Centre. Loughborough University. Thompson, J., Porras, I.T., Wood, E., Tumwine, J.K., Mujwahuzi, M.R., Katui-Katua, M., and Johnstone, N. 2000. Waiting at the tap: changes in urban water use in East Africa over three decades. Environment and Urbanization. 12(2): 37-52. White, G., Bradley, D., and White, A. 1972. Drawers of Water: Domestic water use in East Africa. Chicago: University of Chicago Press. Uganda Collignon, B., and Vézina, M. 2000. Independent Water and Sanitation Providers in African Cities Full Report of a Ten-Country Study. Washington, DC: Water and Sanitation Program. Zambia Malama, A., and Senkwe, B. 2001. Consumer Assessment Survey for Water and Sanitation in Council Townships. Phase 1: The Copperbelt: Government of Zambia. 50 PROVISION OF WATER TO THE POOR IN AFRICA Appendixes Appendix 1 Water provision diagram Source: Collignon and Vézina 2000. Note: 10 capital cities. Benin, Burkina Faso, Côte d'Ivoire, Guinea, Mali, Mauritania, Senegal, Kenya, Tanzania, Uganda. 51 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 2 Total, urban, and slum population growth, sorted by urban population growth Growth (annual average) Urban Total Urban Slum Pop (1990-2005) (1995-2000)* (1990-2001) (2005) Country (%) (%) (%) (%) Mozambique 2.60 6.30 6.94 38 Tanzania 2.50 6.06 6.16 38 Niger 3.30 5.92 5.89 23 Kenya 2.50 5.77 5.88 42 Mauritania 2.80 5.32 5.60 64 Sudan 2.20 5.09 5.19 41 Cameroon 2.20 5.05 4.20 53 Malawi 2.10 5.04 3.92 17 Nigeria 2.50 5.01 4.98 48 Angola 2.80 5.00 5.28 37 Burkina Faso 2.90 4.95 3.97 19 Benin 3.30 4.51 5.34 46 Chad 3.20 4.45 4.26 26 Namibia 2.50 4.35 2.88 34 Ghana 2.40 4.03 1.83 46 Ethiopia 2.20 4.02 4.81 16 Senegal 2.50 4.00 4.05 51 Cape Verde 2.42 3.96 5.42 58 Uganda 3.20 3.60 5.32 12 Madagascar 2.90 3.33 5.33 27 Cote d'Ivoire 2.40 3.31 N/V N/V Rwanda 1.60 3.20 3.55 22 DRC 2.80 2.87 3.61 33 South Africa 1.90 2.51 0.91 58 Lesotho 0.80 1.41 6.32 18 Zambia 2.20 0.94 2.88 37 Average 2.49 4.23 4.58 36.11 pop weighted av 2.50 4.39 4.43 36.51 * Except for Rwanda (1990-1995) Source: WDI 2007,UN-Habitat 2005 52 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 3 Conflict Index Score Compounded score Number of years since Duration of Intensity of the last violent the last violent conflict the last IDPs (4) 1 2 3 4 1+2 1+2+3 1+2+4 1+2+3+4 conflict (3) in the last 30 years (1) conflict (2) (% casualties / (% IDPs / >30=0; 10- <5=0; 5- <1%=0; 1%- <1%=0; 1%- (yr) (yr) (# casualties) (#) population) Population) 30=1;<10=2 10=1;>10=2 3%=1;>3%=2 3%=1;>3%=2 Angola 5 27 500,000 3.14% 61,700 0.4% 2 2 2 0 4 6 4 6 Sudan 0 22 2,300,000 6.35% 5,355,000 18.6% 2 2 2 2 4 6 6 8 Uganda 0 25 12,000 0.04% 1,297,000 8.2% 2 2 0 2 4 4 6 6 Mozambique 15 15 900,000 4.55% 0.0% 1 2 2 0 3 5 3 5 Namibia 18 24 N/V N/V 0.0% 1 2 0 0 3 3 3 3 Chad 0 5 614 0.01% 172,600 0.9% 2 1 0 0 3 3 3 3 Cote d'Ivoire 2 5 1,800 0.01% 709,000 1.9% 2 1 0 1 3 3 4 4 DRC 0 13 4,000,000 6.96% 1,000,000 10.3% 2 2 2 2 4 6 6 8 Ethiopia 7 30 310,000 0.08% 190,000 1.6% 2 2 0 1 4 4 5 5 Lesotho 8 1 0 0.00% 0.0% 2 0 0 0 2 2 2 2 Rwanda 13 1 900,000 10.00% 650,000 1.8% 1 0 2 1 1 3 2 4 Benin >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Burkina Faso >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Niger >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Senegal >30 0 0 0.00% 64,000 0.5% 0 0 0 0 0 0 0 0 South Africa >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Malawi >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Zambia >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Cameroon >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Cape Verde >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Madagascar >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Tanzania >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Mauritania >30 0 0 0.00% 0.0% 0 0 0 0 0 0 0 0 Nigeria >30 0 0 0.00% 200,000 1.0% 0 0 0 1 0 0 1 1 Ghana >30 0 0 0.00% 190,000 2.1% 0 0 0 1 0 0 1 1 Kenya >30 0 0 0.00% 431,000 3.7% 0 0 0 2 0 0 2 2 Source: UN DPKO; IDMC Global Statistics 53 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 4 Percentage of unconnected population at the city level with population density City Unconnected Density Conflict Conflict index Country (largest) (%) (ppl/km2) Index Sudan Great Khartoum 73 6,850 8 High DRC Kinshasa 64 10,650 8 Uganda Kampala 70 118 6 Angola Luanda (2) 80 1,093 6 Ethiopia Addis Ababa 61 5,457 5 Mozambique Maputo 74 4,400 5 Medium Cote d'Ivoire Abidjan (2) 35 1,728 4 Rwanda Kigali (1) 65 1,067 4 Chad N'Djamena (2) 78 819 3 Namibia Windhoek 27 362 3 Lesotho Maseru (1) 67 112 2 Kenya Nairobi 49 4,230 2 Nigeria Kaduna 52 132 1 Ghana Accra (1) 45 3,300 1 Malawi Blantyre 53 191 0 Cameroon Douala (2) 76 109 0 Cape Verde Praia 66 477 0 Madagascar Antananarivo (1) 58 79 0 Low Senegal Dakar (1) 23 26,208 0 Zambia Lusaka 73 18,000 0 Benin Cotonou (1) 69 14,905 0 Tanzania Dar es Salaam 71 14,399 0 South Africa Johannesburg 12 2,500 0 Burkina Faso Ouagadougou (1) 66 1,512 0 Niger Niamey (2) 69 1,269 0 Mauritania Nouakchott (2) 72 558 0 Average 60 4,636 Median 66 1,390 Minimum 12 79 Maximum 80 26,208 Source: AICD WSS database, UN data, DHS Urban, other sources. Note: Shading = density of province in which city is located. 54 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 5 Water supply chain in two African cities Figure 1: Accra Figure 2: Khartoum 55 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 6 Coverage of water supply in urban areas Water tankers (%) Tank + vendors / households (%) households (%) Water vendors Unconnected unconnected households households Standpipe / Standpipes Connected connected (%) (%) (%) (%) Group Country South Africa ht 12 10 0.2 0.1 82.7 2.5 medium- Namibia 79 21 19 0.0 0.0 90.2 0.3 high coverage Senegal 77 23 12 0.0 0.1 50.4 0.4 (>60% HH Cote d'Ivoire 65 35 15 0.0 0.0 43.4 0.0 connected) Benin 60 40 6 0.0 0.0 15.0 0.1 Lesotho 50 50 38 0.2 0.0 77.4 0.3 Kenya 50 50 20 0.0 0.6 40.6 1.2 Ethiopia 48 52 41 0.7 0.0 79.3 1.3 Zambia 46 54 36 0.1 0.0 67.6 0.2 low-medium coverage DRC 40 60 25 N/V N/V 40.9 N/V (30%-60% Sudan 37 63 12 N/V N/V 18.7 N/V HH connected) Ghana 34 66 38 2.3 1.8 57.7 6.2 Burkina Faso 33 67 53 0.0 0.0 79.4 0.0 Malawi 32 68 43 0.0 0.0 63.3 0.0 Niger 31 69 37 0.0 21.0 54.5 30.6 Mauritania 28 72 24 6.8 25.3 32.8 44.3 Cameroon 24 76 43 0.0 0.0 57.1 0.0 Tanzania 22 78 45 2.8 3.7 58.0 8.4 very low Chad 22 78 23 0.0 16.3 29.4 20.8 coverage Mozambique 20 80 43 0.0 0.0 53.4 0.0 (<30% HH connected) Madagascar 17 83 47 0.0 0.0 56.2 0.0 Rwanda 16 84 41 0.1 0.1 48.3 0.1 Nigeria 15 85 17 6.0 5.5 20.0 13.6 Uganda 14 86 47 0.2 0.3 55.5 0.5 Urban Medium- population High 83 17 10 0.2 0.1 70.7 1.9 weighted average Low-Medium 41 59 28 0.7 2.0 48.2 4.0 Very Low 18 82 27 4.2 6.0 33.9 12.7 Source: DHS database 56 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 7 Standpipe and kiosk management models Dependent on utility water Delegated managem Independent from utility water Utility direct management Third party Sup Majority group Country City Private Community Free of charge Utility Staff Pre-payment Private Community Privat South Africa Johannesburg Namibia Windhoek Lesotho Maseru Zambia Lusaka Utility Madagascar Antananarivo Nigeria Kaduna Cape Verde Praia Sudan Great Khartoum Benin Cotonou Burkina Faso Ouagadougou Private Niger Niamey Rwanda Kigali Kenya Nairobi Senegal Dakar Mozambique Maputo Ethiopia Addis Ababa Community Malawi Blantyre Tanzania Dar es Salaam Source: AICD WSS database 2007 and other. 57 PROVISION OF WATER TO THE POOR IN AFRICA Appendix 8 Methodology for estimating the annual gross profit and the annual cross-subsidy between household consumers and standpipes captured by standpipe operators in a city The following figure shows the price charged by the utility to the standpipe operators (formal or official standpipe price) and to a household with a private connection; and the price charged by the standpipe operator to the consumers (informal standpipe tariff). We define unitary standpipe operator gross profit and unitary cross-subsidy between consumers with a household connection and standpipe operators in the following way: Unitary standpipe operator gross profit (PG) ($/m3) = Informal standpipe price ($/m3) ­ Formal standpipe price ($/m3) Unitary cross-subsidy HH connection-Standpipe operator (SHH-Stdp) ($/m3) = HH consumer price ($/m3) ­ Formal standpipe price ($/m3) Water price ($/m3) Informal standpipe tariff Unitary gross profit Household with private connection tariff Unitary cross- subsidy Formal standpipe tariff Since the tariff of a household with private connection in volumetric terms depends on the level of consumption, we have to define a common level of consumption to compare tariff structures across countries. For that, we take as a reference the average consumption level of 60 l/c/d for people with a household private connection as it appears in Banerjee and others 2007, which in its turn is based on the recent survey by Water Utility Partnership in 2002. When analyzing the cross-subsidies between small and large consumers in Banerjee and others 2007, one interesting finding is that the fixed fee and minimum consumption charge means an economic burden on low volume consumers with a household 58 PROVISION OF WATER TO THE POOR IN AFRICA connection. Therefore, despite the fact that the inverted block tariff is commonplace in African countries, the two-part tariff structure can fail to lead to a price favouring small consumers (Banerjee and others 2007). In fact, except for a few countries, the consumers with a household connection that pay the lowest price are not the small consumers (25l/c/d) but the average ones (60l/c/d). In that sense, taking 60l/c/d as a reference can help us to define the lower boundary (and a better estimate) of the cross-subsidy between consumers with a household connection and standpipe operators. In order to estimate the annual gross profit of the standpipe operators and the annual cross-subsidy between the consumer with a household connection and the standpipe operator, we use the following formulation: Annual gross profit of standpipe operators ($/yr) = PG x U x 365 (d/yr) x 1000 (l/ m3) x P x C Where: PG ($/m3): Unitary standpipe operator gross profit U (l/c/d): Standpipe unit consumption. Based on the AICD data, it is fixed at 25l/c/d P (#): City population C ( percent): Coverage of the water service by standpipes Annual cross-subsidy between the consumer with a household connection and the standpipe operator ($/yr) = SHH-Stdp x U x 365 (d/yr) x 1000 (l/ m3) x P x C Where: SHH-Stdp ($/m3): Unitary cross-subsidy between household consumer-Standpipe operator U (l/c/d): Standpipe unit consumption. Based on the AICD data, it is fixed at 25l/c/d P (#): City population C ( percent): Coverage of the water service by standpipes 59 PROVISION OF WATER TO THE POOR IN AFRICA About AICD This study is a product of the Africa Infrastructure Country Diagnostic (AICD), a project designed to expand the world's knowledge of physical infrastructure in Africa. AICD will provide a baseline against which future improvements in infrastructure services can be measured, making it possible to monitor the results achieved from donor support. It should also provide a better empirical foundation for prioritizing investments and designing policy reforms in Africa's infrastructure sectors. AICD is based on an unprecedented effort to collect detailed economic and technical data on African infrastructure. The project has produced a series of reports (such as this one) on public expenditure, spending needs, and sector performance in each of the main infrastructure sectors--energy, information and communication technologies, irrigation, transport, and water and sanitation. Africa's Infrastructure--A Time for Transformation, published by the World Bank in November 2009, synthesizes the most significant findings of those reports. AICD was commissioned by the Infrastructure Consortium for Africa after the 2005 G-8 summit at Gleneagles, which recognized the importance of scaling up donor finance for infrastructure in support of Africa's development. The first phase of AICD focused on 24 countries that together account for 85 percent of the gross domestic product, population, and infrastructure aid flows of Sub- Saharan Africa. The countries are: Benin, Burkina Faso, Cape Verde, Cameroon, Chad, Côte d'Ivoire, the Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Uganda, and Zambia. Under a second phase of the project, coverage is expanding to include as many other African countries as possible. Consistent with the genesis of the project, the main focus is on the 48 countries south of the Sahara that face the most severe infrastructure challenges. Some components of the study also cover North African countries so as to provide a broader point of reference. 60 PROVISION OF WATER TO THE POOR IN AFRICA The World Bank is implementing AICD with the guidance of a steering committee that represents the African Union, the New Partnership for Africa's Development (NEPAD), Africa's regional economic communities, the African Development Bank, the Development Bank of Southern Africa, and major infrastructure donors. Financing for AICD is provided by a multidonor trust fund to which the main contributors are the U.K.'s Department for International Development, the Public Private Infrastructure Advisory Facility, Agence Française de Développement, the European Commission, and Germany's KfW Entwicklungsbank. The Sub-Saharan Africa Transport Policy Program and the Water and Sanitation Program provided technical support on data collection and analysis pertaining to their respective sectors. A group of distinguished peer reviewers from policy-making and academic circles in Africa and beyond reviewed all of the major outputs of the study to ensure the technical quality of the work. The data underlying AICD's reports, as well as the reports themselves, are available to the public through an interactive Web site, www.infrastructureafrica.org, that allows users to download customized data reports and perform various simulations. Inquiries concerning the availability of data sets should be directed to the editors at the World Bank in Washington, DC. 61