Alain MOREL Sr Water and Sanitation Specialist WSP-Africa The World Bank

  • Published on
    14-Jan-2016

  • View
    28

  • Download
    1

DESCRIPTION

Les reformes dans le secteur de leau et de lassainissement: Lexprience de lAfrique sub-saharienne. Alain MOREL Sr Water and Sanitation Specialist WSP-Africa The World Bank. Plan. La toile de fond en Afrique Les Objectifs de Dveloppements du Millnaire Pourquoi la reforme? - PowerPoint PPT Presentation

Transcript

Les reformes dans le secteur de leau et de lassainissement: Lexprience de lAfrique sub-saharienne Alain MORELSr Water and Sanitation SpecialistWSP-Africa The World Bank*PlanLa toile de fond en AfriqueLes Objectifs de Dveloppements du Millnaire Pourquoi la reforme?Le mouvement de reforme en AfriqueLes leons des annes 1990*Toile de fond: Le dfiPlus de 1/3 de la population sans accs aux services deau, et beaucoup plus sans accs lassainissementUn rythme durbanisation trs levDes infrastructures en nombre insuffisant et en mauvais tatPeu dinvestissements de la part des gouvernements (financement interne) ou des agences de dveloppement bilatrales ou multilatrales.*Toile de fond: Le revers de la mdailleDes socits de gestion de services peu performantesTechniquement Pertes en eau leves, personnel en surnombreFinancirement Taux de facturation et de recouvrement bas, tarifs inadapts et non lies aux couts de production et de distributionAutonomie de gestion et financire limiteMandat et rpartition des responsabilits peu clairs*ODMs: Le programme pour le secteur eau et assainissementRduire de moiti la proportion de population sans accs a une source deau saine et durableRduire de moiti la proportion de population sans accs a un mode dassainissement hyginique*ODMs: La dimension du problme en Afrique350 millions de plus dici 2015350 millions couverts rural villesDoubler la population couverte dici 2015Chart3175Rural 2000235175Urban 200040350Total 200027517519015217517836350368188Served 2000Added 2000-2015Not ServedPopulation (million)Couverture eau potable en AfriqueModel IWATER AND SANITATION MILLENNIUM DEVELOPMENT GOALS FINANCING POLICY MODELMDG related Investments and financing optionsAssumptions on financing policyAssumptions on MDGsInvestments (US$ millions)Sources of financing (US$ millions)Main assumption on financing sourcesInvestments in:Compliance with Water MDG:Water Access facilitiesOwn country resources6,547Urb. populations > 500,0005,992DonorsEuropean UnionGrant fundingUrban Centers > 500,000100.0%Urb. populations < 500,0006,200UNICEFCredit fundingUrban Centers < 500,000100.0%Rural areas7,637Bilaterals0KfW (new)Rural areas100.0%Investment in rehabilitation6,044HIPIC (water for debt swaps)HIPIC/PRSPMultilaterals ITotal investment cost25,874Multilaterals II (IDA)Investment assumptionsAfrican economy & W&SReform costsPercapita investments costs in:National economy%Urban centers > 500,00080GDP average growth3.50%Pending of financing19,327Urban centers < 500,00060Contribution.as % of GDP0.10%Rural areas40Contribution.as % of PETotal investment in water25,874Total fuentes25,874Total investment as % GDP0.40%Productive efficiency in W&SUFW:Collection efficiencyTech. EfficiencyOther country specific assumptions II2000200120022003200420052006200720082009201020112012Other country specific assumptions IIIOther country specific assumptions IIIIOther country assumptions13131313131313131313131313Model IIWATER AND SANITATION MILLENNIUM DEVELOPMENT GOALS FINANCING POLICY MODELMDG related Investments and financing optionsAssumptions on financing policyAssumptions on MDGsInvestments (US$ millions)Sources of financing (US$ millions)Main assumption on financing sourcesInvestments in:Compliance with Water MDG:Water Access facilitiesOwn country resources6,547Countries pop 500,000100.0%Countries 2M 500,00080GDP average growth3.50%Pending of financing19,327Urban centers < 500,00060Contribution.as % of GDP0.10%Rural areas40Contribution.as % of PETotal investment in water25,874Total fuentes25,874-0.00Total investment as % GDP0.40%Productive efficiency in W&SUFW:Collection efficiencyTech. EfficiencyOther country specific assumptions II2000200120022003200420052006200720082009201020112012Other country specific assumptions IIIOther country specific assumptions IIIIOther country assumptions13131313131313131313131313Model IIIWATER AND SANITATION MILLENNIUM DEVELOPMENT GOALS FINANCING POLICY MODELMDG related Investments and financing optionsAssumptions on financing policyAssumptions on MDGsInvestments (US$ millions)Sources of financing (US$ millions)Main assumption on financing sourcesInvestments in:Compliance with Water MDG:Water Access facilitiesOwn country resources6,547Countries with advanced reform5,992DonorsEuropean UnionGrant fundingUrban Centers > 500,000100.0%Countries entering reform process6,200UNICEFCredit fundingUrban Centers < 500,000100.0%Countries not interested in RP7,637Bilaterals0KfW (new)Rural areas100.0%HIPIC (water for debt swaps)HIPIC/PRSPMultilaterals ITotal investment cost19,829Multilaterals II (IDA)Investment assumptionsAfrican economy & W&SInvestments in rehabilitation6,044Percapita investments costs in:National economy%Reform costsUrban centers > 500,00080GDP average growth3.50%Pending of financing19,327Urban centers < 500,00060Contribution.as % of GDP0.10%Rural areas40Contribution.as % of PETotal investment in water25,874Total fuentes25,874Total investment as % GDP0.40%Productive efficiency in W&SUFW:Collection efficiencyTech. EfficiencySixto Requena:Not finished yetSixto Requena:Sixto Requena:Not finished yetSummaryYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates8714%7587%4.2%16118%15093.1%75805,993400Cities < 500 th and towns12820%10178%4.0%23025%20488.8%103606,199413Rural areas41166%17442%1.6%51757%36570.6%191407,637509Total625100%35056%2.5%908100%71979.2%36919,8301,322Year 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates8714%7587%4.2%16118%15093.1%75805,992399Cities < 500 th and towns12820%10178%4.0%23025%20488.8%103606,200413Rural areas41166%17442%1.6%51757%36570.6%191407,637509Total625100%35056%2.5%908100%00.0%36919,8291,322Very small countries:Cape Verde, Eq. Guinea, Djibouti, Comoros, Mauritius, G. Bissau, Gabon, and GambiaYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates0.57%0.487%3.2%18%0.792.5%0.380242Cities < 500 th and towns3.041%2.276%3.3%550%4.185.7%1.9601127Rural areas3.752%2.670%0.6%442%3.484.7%0.840342Total7.1100%5.273%2.0%10100%8.285.8%3.017011Small countries: Botswana, Namibia, Lesotho, Mauritania, Congo, CRA, Eritrea, and TogoYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates3.415%3.087%4.4%6.520%6.193.1%3.18024716Cities < 500 th and towns5.624%3.766%3.4%9.429%7.680.9%3.86023015Rural areas14.161%7.050%0.9%16.351%12.073.8%5.04020013Total23.2100%13.759%2.2%32.2100%25.779.8%11.967745Medium size countries: Sierra Leone, Benin, Burundi, Guinea, Chad, Rwanda, Zambia, and SenegalYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates6.811%5.987%4.5%13.115%12.293.1%6.38050634Cities < 500 th and towns11.119%7.063%4.0%19.922%16.080.7%9.16054536Rural areas41.370%18.846%2.0%55.963%40.672.6%21.74086958Total59.1100%31.754%2.8%88.9100%68.877.4%37.11,920128Niger, Malawi, Mali, Zimbawe, Burkina Faso, Angola, Cote d'Ivoire, CamerounYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates12.813%11.187%4.7%25.417%23.693.1%12.58099867Cities < 500 th and towns20.421%15.274%3.5%34.423%29.385.2%14.16084756Rural areas65.866%36.055%2.1%89.560%69.277.3%33.1401,32588Total99.1100%62.463%2.8%149.2100%122.181.8%59.73,169211Madagascar, Mozambique, Ghana, Uganda, Sudan, Kenya, Tanzania South AfricaYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates32.415%28.187%3.7%55.819%52.093.1%23.9801,909127Cities < 500 th and towns43.020%37.086%3.9%76.526%70.892.6%33.8602,028135Rural areas135.664%69.151%1.0%156.854%116.974.6%47.8401,911127Total211.1100%134.364%2.1%289.1100%239.782.9%105.45,848390Republic Democratic of Congo, Ethiopia, NigeriaYear 2000AnnualYear 2015AdditionalInvestments neededPopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Periodmillions%Millions%00 - 15Millions%MDG%accessper capita00 - 15AnnualBig urban conglomarates30.814%26.787%4.5%59.718%55.693.1%28.9802,309154Cities < 500 th and towns45.020%35.479%4.3%84.825%76.189.7%40.6602,437162Rural areas150.066%40.427%1.8%194.757%122.963.1%82.5403,299220Total225.7100%102.645%2.8%339.1100%254.575.1%152.08,045536Water% people in cities < 500 th and townsCountryPopulation (000), 2000People with accessCoverage, 2000Non covered 2000Population (000) 2015With access according to MDGNon covered 2015 (MDG)Persons added during 2000-2015cities < 500 & townsInvestment required (US$ M)UrbanGNP 200020012002200320042005200620072008200920102011201220132014201520002015UrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralUrbanRuralTotal2000201520002015Add 00-15rate of coverageAddedUrbanRuralTotalPop growthBillionCape Verde68.160.6Cape Verde26616242817014431464%89%73%36%11%27%41715056734214248418%6%172-2169369,168100%43100%100%2664171510.50213487757612.20.012.23.0%0.5880.60840148320.62969553510.65173487880.67454559960.69815469560.72259010990.74788076380.77405659050.80114857120.82918877120.85821037820.88824774140.91933641230.95151318680.9848161483Equatorial Guinea ..............................51.750.3Eq Guinea218234452989819645%42%43%55%58%57%42526769230819049828%29%21091301368,999100%42100%100%2184252070.681622718114114.03.717.64.6%0.3630.37612095410.38928518750.4029101690.4170120250.43160744580.44671370640.46234868620.47853089020.49527947130.51261425280.53055575170.5491252030.56834458510.58823664560.6088249282Djibouti61.463.8Djibouti531106637531106637100%100%100%0%0%0%61092702610927020%0%79-1465368,697100%41100%100%531610790.1295081967106.10.06.10.9%0.5530.57285398590.59290387540.61365551110.6351334540.65736312480.68037083420.70418381340.72883024690.75433930550.78074118120.80806712260.83634947180.86562170340.8959184630.9272756092Comoros61.463.8Comoros23146469522644166798%95%96%2%5%4%4556121,0674505971,0471%3%224156380368,632100%40100%100%2314552240.497435897411115.76.221.94.6%0.2120.21973497120.22742569520.23538559450.24362409030.25215093350.26097621620.27011038370.27956424720.28934899580.29947621070.3099578780.32080640380.33203462790.34365583990.3556837943Mauritius61.463.8Mauritius4786801,1584786801,158100%100%100%0%0%0%6326691,3016326691,3010%0%154-11143368,252100%39100%100%4786321540.24367088613811.60.011.61.9%1.1861.22765491.27062282151.31509462031.3611229321.40876223461.45806891281.50910132471.56191987111.61658706661.67316761391.73172848041.79233897721.85507084141.91999832091.9871982621Guinea-Bissau61.460.6G Bissau2889251,2138450959229%55%49%71%45%51%7439841,7274797631,24236%23%396254650368,109100%38100%100%2887434550.825722244837624.110.234.36.5%0.2170916960.22468990540.2325540520.24069344390.24911771440.25783683440.26686112360.27620126290.28586830710.29587369790.30622927730.3169473020.32804045760.33952187360.35140513920.3637043191Gabon ................................................51.750.3Gabon9982281,22672912585473%55%70%27%45%30%1,5631951,7581,3521511,50314%23%62326649367,460100%3752%50%5167862700.461137060412547.41.048.43.0%3.9279311364.06540872584.20769803124.35496746234.50739132344.66515001984.82843027044.99742532995.17233521655.3533669495.54073479225.734660515.93537362786.14311170486.35812061456.580654836Gambia68.160.6Gambia4248821,30633946780780%53%62%20%47%38%7211,0611,7826498121,46110%24%310344654366,81199%36100%100%4247212970.477269224814221.913.835.73.6%0.4395792640.45496453820.47088829710.48736938750.5044273160.52208227210.54035515160.55926758190.57884194730.59910141550.6200699650.64177241380.66423444820.68748265390.71154454680.736448606Botswana49.245.8Botswana8158071,6228157341,549100%91%96%0%9%4%9487451,6939487111,6590%5%133-23110366,15799%35100%100%8159481330.14029535861910.30.010.31.0%5.2797711365.46456312585.65582283525.85377663446.05865881666.27071187526.49018679086.71734332856.9524503457.19578610717.44763862087.70830597257.97809668168.25733006548.54633661778.8454583993Namibia68.145.8Namibia5331,1931,7265337991,332100%67%77%0%33%23%9121,4012,3139121,1702,0820%17%379371750366,04799%3468%56%3635111480.41557017546129.114.843.93.6%3.5694254083.69435529733.82365773273.95748575334.09599775474.23935767614.38773519484.54130592664.7002516344.86476044125.03502705675.21125300365.39364685885.58242449885.77780935635.9800326837Lesotho68.145.8Lesotho6021,5512,1535901,3651,95598%88%91%2%12%9%8331,3082,1418251,2302,0541%6%235-13599365,29799%3368%56%410466570.2846108141618.50.018.52.2%1.1806766081.22200028931.26477029941.30903725991.3548535641.40227343871.45135300911.50215036441.55472562711.60914102411.66546095991.72375209351.78408341681.84652633641.91115475821.9780451747Mauritania61.460.6Mauritania1,5411,1282,66952445197534%40%37%66%60%63%3,0301,0764,1062,0307532,78333%30%1,5063021,808365,19899%3261%61%9461,8368900.7419141914660107.312.1119.44.6%0.9780698241.01230226781.04773284721.08440349691.12235761931.16164013591.20229754071.24437795461.2879311831.33300877441.37966408151.42795232441.47793065571.52965822871.58319626671.638608136Congo51.750.3Congo1,8411,1032,9441,3071881,49571%17%51%29%83%49%3,4321,2984,7302,9347593,69415%42%1,6275722,199363,39098%3152%50%9521,7267740.5545502256429121.622.9144.54.2%1.7345130241.79522097981.85805371411.92308559411.99039358992.06005736562.13215937342.20678495142.28402242472.36396320962.44670192192.53233648922.62096826632.71270215562.80764673112.9059143667Central African Republic ....................51.750.3CAR1,4892,1263,6151,1919782,16980%46%60%20%54%40%2,4242,4534,8772,1821,7913,97210%27%9908131,803361,19198%3052%50%7701,2194490.453978731220475.232.5107.73.3%1.0309463681.06702949091.10437552311.14302866641.18303466971.22444088311.2672963141.3116516851.3575594941.40507407631.4542516691.50515047741.55783074411.61235482011.66878723881.7271947922Eritrea61.463.8Eritrea7223,1293,8514551,3141,76963%42%46%37%58%54%1,4974,2245,7211,2202,9994,21919%29%7651,6852,450359,38797%2961%64%4439555120.627180741932154.867.4122.25.0%0.6962369920.72060528670.74582647180.77193039830.79894796220.82691114090.85585303080.88580788690.91681116290.94889955360.9821110381.01648492431.05206189671.08888406311.12699500531.1664398305Togo ..................................................61.460.6Togo1,5403,0894,6291,3091,1742,48385%38%54%15%62%46%2,8053,7716,5762,5952,6025,1978%31%1,2861,4282,714356,93797%2861%61%9461,7007540.495495495537495.457.1152.54.1%1.3177735681.36389564291.41163199041.461039111.51217547891.56510162071.61988017741.67657598361.7352561431.7959901081.85884976181.92390950351.99124633612.06093995782.13307285642.2077304063Sierra Leone ......................................61.460.6Sierra Leone1,7793,0764,8554099541,36323%31%28%77%69%72%3,3223,7927,1142,0432,4844,52739%35%1,6341,5303,164354,22496%2761%61%1,0922,0139210.7997239394736116.061.2177.24.3%0.6465260160.66915442660.69257483150.71681495060.74190347390.76787009540.79474554880.8225616430.85135130050.8811485960.91198879690.94390840480.97694519891.01113828091.04652812071.083156605Benin68.160.6Benin2,5773,5206,0971,9071,9363,84374%55%63%26%45%37%5,0044,4459,4494,3533,4457,79813%23%2,4471,5093,955351,05995%2668%61%1,7553,0321,2770.5619642217718181.460.4241.74.5%2.3448007682.42686879492.51180920272.59972252482.69071281322.78488776162.88235883332.98324139243.08765484123.19572276063.30757305723.42333811423.54315494823.66716537143.79551615943.928359225Burundi61.463.8Burundi6006,0956,6955763,8404,41696%63%66%4%37%34%1,4288,4079,8351,3996,8528,2512%19%8233,0123,835347,10494%2561%64%3689115430.588406791331959.5120.5180.06.0%0.732333440.75796511040.78449388930.81195117540.84036946650.86978239790.90022478180.93173264910.96434329190.99809530711.03302864281.06918464531.10660610791.14533732171.18542412791.2269139724Guinea68.160.6Guinea2,4354,9957,4301,7531,7983,55172%36%48%28%64%52%4,0077,29311,3003,4464,9598,40514%32%1,6933,1614,854343,26993%2468%61%1,6582,4287700.4912391687378127.9126.4254.33.4%3.302705923.41830062723.53794114923.66176908943.78993100753.92257859284.05986884354.2019642534.34903300194.5012491574.65879287744.82185062824.99061540015.16528693915.3460719825.5331845014Chad51.750.3Chad1,8205,8317,6515641,5162,08031%26%27%69%74%73%3,8278,54912,3762,5075,3867,89335%37%1,9423,8705,812338,41592%2352%50%9411,9259840.7749218589763140.1154.8294.95.1%1.5413936641.59534244221.65117942771.70897070771.76878468251.83069214631.89476637151.96108319452.02972110632.1007613452.17428799212.25038807182.32915165432.41067196222.49504548092.5823720727Rwanda51.763.8Rwanda4767,2577,7332862,9033,18860%40%41%40%60%59%9369,56810,5047496,6987,44620%30%4633,7954,258332,60390%2252%64%2465973510.618589743621732.7151.8184.54.6%1.9876829442.0572518472.12925566172.20377960982.28091189622.36074381262.4433698462.52888779062.61739886332.70900782352.80382309732.90195690573.00352539743.10864878633.21745149393.3300622961Zambia ..............................................61.463.8Zambia3,6325,5379,1693,1962,6585,85488%48%64%12%52%36%6,6898,10714,7966,2885,99912,2876%26%3,0923,3416,433328,34589%2161%64%2,2304,2682,0380.4916773491,002227.3133.7360.94.2%3.0261967363.13211362183.24173759853.35519841453.4726303593.59417242153.71996845633.85016735233.98492320964.12439552194.26874936524.4181555934.57279103874.73283872514.89848808055.0699351633Senegal61.460.6Senegal4,4984,9839,4814,1383,2397,37792%65%78%8%35%22%7,7595,75713,5167,4494,75012,1984%18%3,3101,5114,821321,91287%2061%61%2,7624,7021,9400.4444408644862247.660.4308.03.7%4.714378244.87938147845.05015983015.22691542425.4098574645.59920247535.79517456195.99800567166.20793587016.42521362556.65009610246.8828494667.12374919737.37308041927.63113823397.8982280721Niger68.160.6Niger2,2078,52310,7301,5454,7736,31870%56%59%30%44%41%5,38713,09418,4814,57910,21314,79215%22%3,0345,4408,474317,09186%1968%61%1,5033,2651,7620.66260823991,167219.4217.6437.06.1%1.9391823362.00705371782.07730059792.15000611882.2252563332.30314030462.38375021532.46718147282.55353282442.64290647322.73540819982.83114748682.93023764883.03279596653.13894382533.2488068592Malawi68.163.8Malawi2,7238,02010,7432,5873,5296,11695%44%57%5%56%43%3,33012,32615,6563,2478,87512,1213%28%6605,3466,006308,61684%1868%64%1,8542,1252700.20324940325551.7213.8265.51.4%1.7443631361.80541584581.86860540041.93400658942.001696822.07175620872.1442676762.21931704472.29699314122.37738790122.46059647772.54671735442.63585246182.7281072982.82359105342.9224167403Mali68.160.6Mali3,3757,85911,2342,4984,7947,29174%61%65%26%39%35%7,19410,46317,6576,2598,42314,68113%20%3,7613,6297,390302,61082%1768%61%2,2984,3602,0610.60096057061,239276.1145.1421.35.2%2.548296962.63748735362.7297994112.82534239042.9242293743.02657740213.13250761123.24214537763.35562046583.47306718213.59462453353.72043639213.85065166593.98542447424.12491433084.2692863323Zimbabwe ..........................................61.463.8Zimbabwe4,1217,54811,6694,1215,8129,933100%77%85%0%23%15%7,5088,86016,3687,5087,84115,3490%12%3,3872,0295,416295,22080%1661%64%2,5304,7902,2600.45111880661,019250.681.2331.74.1%5.850600966.05537199366.26731001346.48666586386.71369916916.948678647.19188239247.44359827617.70412421587.97376856338.25285046318.54170022938.84065973739.15008282819.47033572719.8017974775Burkina68.160.6Burkina2,2049,73311,9371,8515,3537,20584%55%60%16%45%40%4,26814,24018,5083,92711,03614,9638%23%2,0755,6837,758289,80479%1568%61%1,5012,5861,0850.528503321574154.5227.3381.94.5%2.4219133442.5066803112.59441412192.68521861622.77920126782.87647331212.97714987813.08135012383.18919737813.30081928643.41634796143.535920143.65967734493.7877660523.92033786384.0575496891Angola51.750.3Angola4,4048,47412,8781,4973,3904,88734%40%38%66%60%62%9,17411,62220,7966,1478,13514,28233%30%4,6494,7469,395282,04676%1452%50%2,2774,6152,3380.75639135911,768336.6189.8526.45.0%3.8469137923.98155577474.12091022684.26514208484.41442205774.56892682984.72883926884.89434864325.06565084575.24294862535.42645182725.61637764125.81295085866.01640413876.22697828356.4449225234Cte d'Ivoire68.160.6Cote d'Ivoire6,8547,93214,7866,1695,15611,32490%65%77%10%35%23%10,95410,57521,52910,4068,72419,1315%18%4,2383,5697,806272,65174%1368%61%4,6686,6381,9710.4072244698802323.0142.7465.73.2%9.59109129.92677939210.274216670710.633814254211.005997753111.391207674511.789899943112.202546441112.629635566513.071672811313.529181359714.002702707314.492797302115.000045207615.525046789916.0684234276Cameroon ..........................................51.750.3Cameroun7,3797,70615,0856,0513,2379,28782%42%62%18%58%38%11,9058,32120,22610,8345,90816,7419%29%4,7832,6717,454264,84572%1252%50%3,8155,9882,1730.441477632959363.4106.9470.33.2%8.6444533768.94700924429.26015456779.58425997769.919709076810.266898894510.626240355810.998158768211.383094325111.781502626512.193855218412.620640151113.062362556413.519545245813.992729329414.482474856Madagascar61.463.8Madagascar4,72111,22115,9424,0133,4797,49185%31%47%15%69%53%9,49414,57824,0728,7829,54918,3318%35%4,7696,07010,839257,39170%1161%64%2,8996,0573,1580.54305706591,715347.2242.8590.04.8%3.8687759364.00418309384.1443295024.28938103464.43950937084.59489219884.75571342584.92216339575.09443911455.27274448355.45729054045.64829570945.84598605926.05059557136.26236641636.4815492408Mozambique49.263.8Mozambique7,91711,76419,6816,8096,23513,04486%53%66%14%47%34%11,33812,18823,52610,5449,32419,8687%24%3,7363,0896,825246,55267%1049%64%3,8957,2343,3380.35428675481,183275.2123.6398.82.4%3.7463152643.87743629824.01314656874.15360669864.2989829334.44944733574.60517799244.76635922224.93318179495.10584315785.28454766835.46950683675.6609395765.85907246116.06413999736.2763848972Ghana68.160.6Ghana7,75312,46020,2136,7456,10512,85187%49%64%13%51%36%11,18215,19626,37810,45511,32121,7767%26%3,7105,2168,926239,72765%968%61%5,2806,7761,4960.3548541057531286.2208.6494.82.5%6.5938365446.8246208237.06348255187.31070444127.56657909667.8314093658.10550869288.3892014978.68282354948.98672237369.30125765679.62680167479.963739733310.31247062410.673407095811.0469763442Uganda61.463.8Uganda3,08318,69521,7782,2208,60010,81972%46%50%28%54%50%8,01430,72538,7396,89222,42929,32114%27%4,67213,83018,502230,80163%861%64%1,8935,1293,2360.67792409792,194329.9553.2883.16.6%6.6988282886.93328727817.17595233287.42711066457.68705953777.95610662158.23457035338.52278031578.82107762679.12981534369.44935888079.780086441510.122389466910.476673098310.843356656711.2228741397Sudan ................................................49.253.1Sudan10,65218,83829,4909,16112,99822,15986%69%75%14%31%25%20,65721,77642,43319,21118,40137,6127%16%10,0505,40315,453212,29958%749%53%5,24110,9695,7280.52315260882,997744.1216.1960.24.5%9.5994818569.93546372110.283204951210.643117124511.015626223811.401173141711.800214201612.213221698712.640684458113.083108414213.541017208714.01495281114.505476159415.013167824915.538628698816.0824807033Kenya49.263.8Kenya9,95720,12330,0808,6636,23814,90187%31%50%13%69%50%18,86721,13440,00117,64113,84331,4837%35%8,9787,60516,583196,84753%649%64%4,89912,0377,1380.50894142483,633645.6304.2949.84.4%10.609971210.98132019211.365666398711.763464722712.17518598812.601317497513.0423636113.498846336313.971305958114.460301666614.966412224915.490236652816.032394935716.593528758417.17430226517.7754028442Tanzania68.163.8Tanzania11,02122,49633,5178,8179,44818,26580%42%54%20%58%46%22,78526,55949,34420,50718,85739,36310%29%11,6909,40921,098180,26449%568%64%7,50514,5377,0320.57004852124,008855.0376.31231.45.0%9.0132152329.32867776519.65518148699.993112838910.342871788310.704872300911.079542831411.467326830511.868683269612.28408718412.714030235513.159021293713.61958703914.096272585414.589642125815.1002796002South56.245.8South Africa20,33020,04740,37718,70416,03834,74192%80%86%8%20%14%29,96114,65544,61628,76313,19041,9524%10%10,059-2,8487,211159,16643%456%46%11,42513,7222,2970.3497240858803788.70.0788.72.6%129.170948096133.6919312794138.3711488741143.2141390847148.2266339527153.414566141158.784075956164.3415186144170.0934717659176.0467432778182.2083792925188.5856725677195.1861711076202.0176870963209.0883061447216.4063968598Democratic51.750.3RDC15,64136,01451,65513,9209,36423,28489%26%45%11%74%55%33,00851,03784,04531,19332,15363,3466%37%17,27222,79040,062151,95541%352%50%8,08616,6038,5170.55372402914,7161287.4911.62199.05.1%15.284415.81935416.3730313916.946087488617.539200550818.1530725718.7884301119.446025163820.126636044620.831068306121.560155696822.314761146223.095777786323.904130008924.740774559225.6067016687Ethiopia61.463.8Ethiopia11,04251,52362,5658,5026,69815,20077%13%24%23%87%76%19,73870,02789,76517,46839,56557,03312%44%8,96632,86741,833111,89330%261%64%6,78012,5935,8130.51326558712,984657.61314.71972.33.9%6.7374530566.9732639137.21732814997.46993463527.73138234748.00198072958.28205005518.5719218078.87193907039.18245693779.50384293059.836477433110.180754143310.537080538310.905878357111.2875840996Nigeria61.460.6Nigeria49,05062,456111,50639,73124,35864,08881%39%57%19%61%43%91,69173,623165,31482,98051,168134,14810%31%43,25026,81070,06070,06019%161%61%30,11755,56525,4480.521205952913,2643194.71072.44267.14.3%32.70498508833.849659566135.034397650936.260601568737.529722623638.843262915440.202777117441.609874316643.066219917644.573537614746.133611431347.748287831449.419477905551.149159632152.939380219354.7922585269214,768410,533625,301175,810174,020349,83182%42%56%44%390,874517,223908,097354,043364,956718,998178,232190,936369,168128,115229,615101,50013184.38792890267758.777220943.16512890264.1%312.186214256323.112731755334.4216773664346.1264360742358.2408613368370.7792914836383.7565666855397.1880465195411.0896281477425.4777651329440.3694869125455.7824189545471.7348036179488.2455217445505.3341150055523.02080903076546.866374023191%71%0.31218621430.32311273180.33442167740.34612643610.35824086130.37077929150.38375656670.39718804650.41108962810.42547776510.44036948690.4557824190.47173480360.48824552170.5053341150.523020809Additional served per year24,61136,831152,267517Out of which urban11,882389Out of which rural12,729-189906Investement US$ percapita Urban70Cities < 500,00060Urban > 500,00080Investement US$ percapita rural40Annual investment urban831,751Annual investment Rural509,162Total annual investment1,340,91220113686.1Liberia, Saint Helena, Sao Tome, Seychelles, Somalia, and Swaziland are not included because they do not have informationCombined population of Liberia, Saint Helena, Sao Tome, Seychelles, Somalia, and Swaziland is14.338Rural 2000Urban 2000Total 2000Rural 2015Urban 2015Total 2015Served 2000175175350175175350Added 2000-2015190178368Not Served2354027515236188Water000000000000000000Served 2000Added 2000-2015Not ServedPopulation (million)Water Supply Coverage in AfricaSanitationSANITATIONPopulation, 2000CoveragePop. ServedCoveragePop. ServedCountryUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalCape Verde26616242864%89%73%17014431495%32%71%25352305Eq Guinea21823445245%42%43%989819660%46%53%131108238Djibouti531106637100%100%100%53110663799%50%91%52653579Comoros23146469598%95%96%22644166798%98%98%226455681Mauritius4786801,158100%100%100%4786801,158100%99%99%4786731,151G Bissau2889251,21329%55%49%8450959288%34%47%253315568Gabon9982281,22673%55%70%72912585425%4%21%2509259Gambia4248821,30680%53%62%33946780741%35%37%174309483Botswana8158071,622100%91%96%8157341,54984%44%64%6853551,040Namibia5331,1931,726100%67%77%5337991,33296%17%41%512203714Lesotho6021,5512,15398%88%91%5901,3651,95592%92%92%5541,4271,981Mauritania1,5411,1282,66934%40%37%52445197544%19%33%678214892Congo1,8411,1032,94471%17%51%1,3071881,49514%9%2580258CAR1,4892,1263,61580%46%60%1,1919782,16943%23%31%6404891,129Eritrea7223,1293,85163%42%46%4551,3141,76966%1%13%47731508Togo1,5403,0894,62985%38%54%1,3091,1742,48369%17%34%1,0635251,588Sierra Leone1,7793,0764,85523%31%28%4099541,36323%31%28%4099541,363Benin2,5773,5206,09774%55%63%1,9071,9363,84346%6%23%1,1852111,397Burundi6006,0956,69596%63%66%5763,8404,41679%12%18%4747311,205Guinea2,4354,9957,43072%36%48%1,7531,7983,55194%41%58%2,2892,0484,337Chad1,8205,8317,65131%26%27%5641,5162,08081%13%29%1,4747582,232Rwanda4767,2577,73360%40%41%2862,9033,18812%6%6%57435493Zambia3,6325,5379,16988%48%64%3,1962,6585,85499%64%78%3,5963,5447,139Senegal4,4984,9839,48192%65%78%4,1383,2397,37794%49%70%4,2282,4426,670Niger2,2078,52310,73070%56%59%1,5454,7736,31879%5%20%1,7444262,170Malawi2,7238,02010,74395%44%57%2,5873,5296,11696%70%77%2,6145,6148,228Mali3,3757,85911,23474%61%65%2,4984,7947,29193%50%63%3,1393,9307,068Zimbabwe4,1217,54811,669100%77%85%4,1215,8129,93399%51%68%4,0803,8497,929Burkina2,2049,73311,93784%55%60%1,8515,3537,20588%16%29%1,9401,5573,497Angola4,4048,47412,87834%40%38%1,4973,3904,88770%30%44%3,0832,5425,625Cote d'Ivoire6,8547,93214,78690%65%77%6,1695,15611,32478%30%52%5,3462,3807,726Cameroun7,3797,70615,08582%42%62%6,0513,2379,28799%85%92%7,3056,55013,855Madagascar4,72111,22115,94285%31%47%4,0133,4797,49170%30%42%3,3053,3666,671Mozambique7,91711,76419,68186%53%66%6,8096,23513,04469%29%45%5,4633,4128,874Ghana7,75312,46020,21387%49%64%6,7456,10512,85162%64%63%4,8077,97412,781Uganda3,08318,69521,77872%46%50%2,2208,60010,81996%82%84%2,96015,33018,290Sudan10,65218,83829,49086%69%75%9,16112,99822,15987%48%62%9,2679,04218,309Kenya9,95720,12330,08087%31%50%8,6636,23814,90196%81%86%9,55916,30025,858Tanzania11,02122,49633,51780%42%54%8,8179,44818,26598%86%90%10,80119,34730,147South Africa20,33020,04740,37792%80%86%18,70416,03834,74199%72%86%20,12714,43434,561RDC15,64136,01451,65589%26%45%13,9209,36423,28452%6%20%8,1332,16110,294Ethiopia11,04251,52362,56577%13%24%8,5026,69815,20058%6%15%6,4043,0919,496Nigeria49,05062,456111,50681%39%57%39,73124,35864,08885%45%63%41,69328,10569,798214,768410,533625,301175,810174,020349,83180%40%54%172,635165,750338,386List of excluded countriesLiberia, Saint Helena, Sao Tome, Seychelles, Somalia, and Swaziland are not included because they do not have informationPopulation, 2000CoveragePop. ServedCoveragePop. ServedCountryUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalLiberia1,4161,7383,1540%0000%000Sao Tome69781470%0000%000Seychelles4928770%0000%000Somalia2,7767,32110,0970%0000%000Swaziland2667421,0080%0000%000Sheet3201320142015201613131313*Manque dAEP = Une dimension centrale de la pauvretODMs: Ou en sommes nous?*3 paramtres fondamentaux pour latteinte des ODMs en AfriqueREFORMES INSTITUTIONNELLES EN COURS DANS 39 PAYS Amlioration de la gouvernance : NEPAD, PPP, secteur priv local, socit civile, dcentralisation, intgration rgionaleNcessaire dencourager et de prenniser les reformesSYSTEMES DE FINANCEMENTS SONT FONDAMENTAUXMcanismes financiers non viables, dpendant fortement de laide extrieure (>80%)Nouvelles orientations de laide: Accent mis sur la rduction de la pauvret; ncessit de restaurer les institutions avant de faire des investissements; annulation de dette, soutien budgtaire; recherche de nouvelles sources.Les stratgies de financement des ODM ncessitent de linnovationCAPACITES SONT LA CLE DE LA PERFORMANCEFaiblesse du secteur publique, tat providenceApproche programme, dcentralisation, participation PME et SPD, et consultation des consommateurs et usagers sont des opportunits de dveloppement des capacitsOpportunits pour soutenir lapproche programme, et renforcer lutilisation du secteur priv et les capacits des consommateurs*Raisons pour sengager dans des reformesManque dautonomieManque de capacitsDifficults de mobilisation des investissementsOptimisation des investissementsGestion des pertes et de la demandeAmlioration*Manque dautonomie dans la gestion quotidienneDifficults dtablir des tarifs adquatsDifficults de recouvrement des factures de lAdministration et des communesManque de moyens financiers pour raliser les investissementsContraintes institutionnelles*Objectifs de la reformeAssurer la viabilit financire du secteur en amliorant la gestion, la tarification et le recouvrement des facturesRduction de la pauvret et amlioration de la sant des populations dfavorises des zones pri urbaines par un accs leau potable et un assainissement adquat*Objectifs de la reformeParticipation du secteur priv dans la gestion du service deau en milieu urbain pour amliorer les performances techniques et commerciales Renforcement des capacits institutionnelles des acteurs chargs de la mise en uvre de cette rforme *Ncessit des reformes est largement reconnuePlutt Comment? que Pourquoi?Une majorit ont impliqu le PPPSparer la gestion du service des fonctions de rgulationRenforcement de lautonomie de gestionCrer les conditions de viabilit financireContexte africain*RgulationInvestissements et dvt des infrastructuresGestion du service,exploitation et maintenanceGouvernement CentralMunicipalitSocit publiquePublicPrivContrat de gestion AffermageConcessionPolitique sectorielle*Sharing the experience of reformArrangements institutionnels pour la gestion du service*Ghana, Botswana, Maurice, Togo, Congo (B), DRC, RCA., Cameroun, Tchad, TunisieMalawiGhanaOuganda, Burkina Faso, Swaziland, Lesotho, Liberia, Sierra Leone, LybieKenya, Zimbabwe, Afrique du Sud, Namibie, Zambie, EgypteZambieNiger, Cote dIvoire, Sngal, Cap VertMozambiqueGabon, MarocMaliTanzanieSocit publiquesCompagnies NationaleRgulateurVille or RgionaleEau - AssainissementParticipation du secteur privEauEau - ElectricitBenin, RCA, MauritanieEauEau - Electricit*Les difficults de la rgulationOrientations: Diffrentes approches de rgulation Agent de circulation ou police de quartier?Finances: Qui finance le rgulateur, et quelles sont les implications?Indpendance du politique: Non assure quand le politique utilise le rgulateur comme couverture.Indpendance du gestionnaire: Non assure quand le rgulateur dpend de la socit de services.Information: Maintenir un rgulateur inform des dtails du secteur par des changes rguliers avec la socit, sans compromettre son indpendance.*Ralentissement des PSP en Afrique Sub-Saharienne (La demande est passe des aspects contractuels aux cadres de rgulation et a la stimulation des marchs, et loffre sest affaiblie)Le PSP nest pas une fin en soi (Cest un outil sintgrant dans les Documents Stratgiques de Rduction de la Pauvret pour (i) croissance et emploi, et (ii) favoriser laccs aux marches et aux services de base, leau tant de plus en plus intgre aux PRSP, avec la dfinition de plans ODM associant reformes, investissements progressifs, et renforcement de capacits)Les leons des annes 1990*Leons sur la mise en uvre, mais aussi sur la prennit (Importance des reformes structurelles avant le PPP, (re)construction des capacit du secteur public pour la supervision, la gestion et le suivi des contrats, participation de toutes les partie prenantes, intgration dobjectifs pour amliorer les services aux populations dfavorises)Services aux pauvres est le point dattaque des PPP (Politiques, socit civile et perception du secteur prive ont joue un rle central dans les checs)Les leons des annes 1990*Stratgies pour les services aux pauvres est devenu critique (Cot lev des services alternatifs, rle les petits oprateurs, ncessite de lier loprateur central aux autres oprateurs, ncessite davoir des programmes a grande chelle)Problmatique de lassainissement urbain (plus large que le mandat des socits deau, ncessite de dvelopper des stratgies et approches spcifiques)Les leons des annes 1990MERCI A Delegated Management Model to Improve Water Supply Delivery within Informal Settlements:Lessons from Nyalenda - KisumuOn prioritization: The UN Convention states that special regard should be given to the requirements of vital human needs.

Recommended

View more >