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MILLENNIUM CHALLENGE ACCOUNT SENEGAL (MCA-SENEGAL)
Post-CompactMonitoring and Evaluation Plan
Revision N° 01/2015Main Document and Annexes
With the support of:
REVISIONNO: N1DATE:DATE OF APPROVAL BY THE BOARDDATE OF APPROVAL BY THE MCC
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 2
TABLE OF CONTENTS
PREAMBLE ................................................................................................................................................... 4 ACRONYMS .................................................................................................................................................. 5 1. PRESENTATION OF THE POST-COMPACT EVALUATION AND MONITORING PLAN....................................... 6
1.1. INTRODUCTION ....................................................................................................................................... 6 1.2. PROGRAM INTERVENTION LOGIC ............................................................................................................ 6
1.2.1. The Roads Rehabilitation Project...................................................................................................................................7 1.2.2. The Irrigation and Water Resource Management Project ............................................................................................8
1.3. ECONOMIC IMPACTS OF THE PROJECTS ................................................................................................. 9 1.4. PROGRAM BENEFICIARIES .................................................................................................................... 10
2. MONITORING COMPONENT.................................................................................................................. 11
2.1. MONITORING STRATEGY ....................................................................................................................... 11 2.1.1. Objectives and organization .........................................................................................................................................11 2.1.2. Performance Indicators .................................................................................................................................................11
2.2. DATA QUALITY REVIEWS ....................................................................................................................... 13 2.3. REPORTING REQUIREMENTS ................................................................................................................ 13
2.3.1. Post-Compact Annual Report .......................................................................................................................................13 TABLE 5 : SCHEDULE FOR THE COLLECTION AND USE OF PERFORMANCE INDICATORS ........................... 14 3. EVALUATION COMPONENT ................................................................................................................... 15
3.2. SPECIFIC EVALUATION PLANS ............................................................................................................... 15 3.2.1. Impact Evaluation...........................................................................................................................................................16
6. ANNEXES........................................................................................................................................... 22
6.1. ANNEX I: GLOSSARY .............................................................................................................................. 22 6.2. ANNEX II: PROGRAM LOGIC ................................................................................................................... 24
6.2.1. Logic of the Irrigation and Water Resources Management Project .......................................................................... 24 6.2.2. Logic of the Roads Rehabilitation Project...................................................................................................................25
6.3. ANNEX III: ANALYSIS OF POST-COMPACT MONITORING AND EVALUATION STAKEHOLDERS ................ 26 6.4. ANNEX V: PERFORMANCE INDICATOR TARGETS ................................................................................... 28 6.5. ANNEX VIII: ANNUAL REPORTING FRAMEWORK .................................................................................... 31
6.5.1. Annual Status Report Outline .......................................................................................................................................31 6.6. ANNEX IX: FOCAL POINTS OF POST COMPACT MONITORING AND EVALUATION ................................... 32
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List of tables
TABLE 1 : TRAFFIC ON ROAD SECTIONS TO BE REHABILITATED BY THE COMPACT..8ERROR! BOOKMARK NOT DEFINED. TABLE 2 : IWRM PROJECT OBJECTIVES ............................................................................................................... 9 TABLE 3 : RESULTS OF THE ECONOMIC ANALYSIS OF MCA-SENEGAL PROJECTS .......................................................... 9 TABLE 4 : ESTIMATION OF PROGRAM BENEFICIARIES............................................................................................. 10 TABLE 5 : POST-COMPACT GOAL, OBJECTIVE, AND RESULT INDICATORS.................................................................... 12 TABLE 6 : SCHEDULE FOR THE COLLECTION AND PROCESSING OF PERFORMANCE INDICATORS ...................................... 14
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 4
PREAMBLE
This Post-Compact Monitoring and Evaluation Plan (MEP):Is part of the action plan set out in the Compact signed on September 16, 2009 between the United States of America, acting through the Millennium Challenge Corporation (MCC), a public institution of the United States Government, and Senegal, acting through its government;and is a guide for monitoring the sustainability of MCC’s investments;is governed by principles stipulated in the policy for monitoring and evaluation of Compacts and Threshold Programs (MCC M&E Policy);In accordance with the close-out plan, the post-compact MEP will ensure observation of the sustainability of impacts achieved under the compact. The plan will include a description of future monitoring and evaluation activities, identify individuals and entities that will support these activities and provide the budget framework for the next monitoring and evaluation activities that will be drawn from both MCC’s and the host country’s resources.
The M&E plan is considered a binding document, and failure to comply with its stipulations could be regarded as aviolation of the agreement between MCC and the Government of Senegal.
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ACRONYMS
AfDB: African Development BankAGEROUTE: Roads Management AgencyANSD: National Statistics and Demography AgencyAPR: Annual Progress ReportBADEA: Arab Bank for Economic Development in AfricaBLS: Baseline Study CCR: Compact Completion ReportCD: (MCA) Communication DirectorateCGS: ?CNCAS: National Agricultural Credit Institution of SenegalDAF: (MCA) Directorate of Administration and FinanceDEEC: Department of Environmental Affairs and Classified InstitutionsDFRI: (MCA) Land Tenure and Institutional Reforms DirectorateDG: (MCA) Director GeneralDDG: (MCA) Deputy Director GeneralERR: Economic Rate of ReturnESA: (MCA) Environmental and Social Assessment DirectorateEU: European UnionGIS: Geographic Information SystemGPRSP: Growth and poverty reduction strategy paperGTZ: German Technical Cooperation IEA : Implementing Entity Agreement IT: Invitation to tendersITT: Indicator Tracking TablesIWRMP: Irrigation and Water Resources Management ProjectJICA: Japan International Cooperation AgencyLOASP: Agro-silvo-pastoral (agriculture, forests and pastoral) guidance lawMCA-S: Millennium Challenge Account SenegalMCC: Millennium Challenge CorporationMDGs: Millennium Development GoalsMED: (MCA) Monitoring and Evaluation DirectorateMEF: Ministry of Economy and FinanceM&E: Monitoring and EvaluationMEP: Monitoring and Evaluation PlanNPRSS: National Program for Rice Self-sufficiencyPCAR: Post-Completion Assessment ReportPDRG: Development Plan for the Left Bank of the Senegal RiverPM: Prime Minister’s OfficePMU: Project Management UnitQPR: Quarterly Progress ReportRAP: Resettlement Action PlanRRP: Roads Rehabilitation ProjectSAED: National Agency for agricultural land development in the Senegal River Delta and the valleys of
the Senegal and Faleme RiversSB: (MCA) Supervisory BoardSU/MCA-S: Support Unit for the Millennium Challenge Account SenegalWB: World Bank
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1. PRESENTATION OF THE POST-COMPACT EVALUATION AND MONITORING PLAN
1.1. INTRODUCTION
1. Monitoring and evaluation within the framework of the Compact is an essential function for the success of the program in connection with the results-based approach. These are decision-aiding tools at different levels of monitoring, oversight, supervision and implementation of MCA-Senegal.2. The post-Compact Monitoring and Evaluation Plan (MEP) is intended to define the organization and operation of this function in order to facilitate the post-Compact monitoring and evaluation missions.3. The post-Compact Monitoring and Evaluation Plan describes (i) how the objectives and performance indicators will be monitored and measured, and (ii) how evaluations will be carried out. It is prepared based on Annex III of the Compact, which describes the approach and monitoring and evaluation methods recommended for the management of the Millennium Challenge Corporation (MCC) funds.4. MCA-Senegal’s post-Compact Monitoring and Evaluation Plan:
explains in details the terms and conditions of post-Compact monitoring through performance indicator tables of the program and of various projects and a data collection and quality control strategy;describes the needs of projects for M&E information that the government has to provide to the various stakeholders;is used as a monitoring tool for MCC, the MCA-Senegal Stakeholders Committee and for other stakeholders during the post-Compact period;is used to provide guidance on measuring progress towards the achievement of objectives and targets during the post-Compact three-year period.
5. The Post-Compact Monitoring and Evaluation Plan is based on the principles of:participation and accountability of all stakeholders, including women and other vulnerable groups, in program monitoring and evaluation, namely in data collection, processing and analysis;linkage with the evaluations through the incorporation of performance indicators listed in the reference documents and common indicators identified by MCC;diversity in indicator types: quantitative and qualitative indicators;getting things done by outsourcing a number of tasks to consultants or to implementing partners;reliability and accuracy of data and situations reported in the indicator tracking tables1
availability and transparency in reporting results data on the MCA-Senegal website.
1.2. PROGRAM INTERVENTION LOGIC
6. On 16 September 2009, the United States of America through the Millennium Challenge Corporation (MCC) and the Government of the Republic of Senegal signed a "Compact" contract meant to reduce poverty through economic growth.
7. Pursuant to this agreement, MCC grants the Government of Senegal acting through the Millennium Challenge Account Senegal (MCA-Senegal), a financing program of up to five hundred and forty million US Dollars (US $ 540 million, or about 270 billion CFAF) to implement the Compact2 over a five-year period.
8. With a population of about 12 million people, Senegal is bordered in the north by Mauritania, in the east byMali, in the west by the Atlantic Ocean and in the south by the Republic of Guinea, Guinea-Bissau and the enclaveof Gambia that runs through the center and isolates the natural region of the Casamance from the rest of the territory. The Republic of Senegal was declared eligible for MCC assistance in 2004.
9. During the period from February to July 2008 and following extensive consultations undertaken by the Government to analyze the economic constraints of the country, the MCA -Senegal Program decided to focus on
1 Using the Indicator Tracking Tables (ITT)2 See Annex II : Logic of the Roads Rehabilitation Project
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reducing poverty in the northern (in the Senegal River Valley) and the southern (in the Casamance) regions of Senegal.
10. The northern and southern areas were chosen to promote economic growth in these regions, increase food security in Senegal by tapping the agricultural potential in these areas and encourage penetration into the subregional market. The Senegal River Valley, like the Casamance, is an agriculturally rich region, especially with rice,which is the staple food crop of the Senegalese people.
11. The northern zone, which is very conducive to intensive irrigation, is facing small areas under cultivation and low crop yields due to the low capacity of the existing irrigation infrastructure and drainage systems (insufficient water availability, increased land salinity due to lack of drainage).
12. Despite its economic development potential, which is considered important, the natural region of the Casamance is one of the poorest in Senegal. Enhancing this potential, characterized by its rich natural resources and its large agricultural production, could significantly contribute to increasing food security at the national level. A primary constraint to the development of this potential is the poor road network, which limits national and regional-level export of regional products and services.
13. See Annex 2: Logic of IWRM and Roads Rehabilitation Projects.
1.2.1. The Roads Rehabilitation Project
14. The Roads Rehabilitation Project (RRP) is designed to increase beneficiaries' access to domestic and international markets by improving the quality of roads and reducing the time and costs3 of travel.
15. The RRP focus was on national roads no. 2 ("RN#2") and no. 6 ("RN#6"), which were identified as priorities in the road sector. They are expected to help facilitate the transport of manufactured goods, minerals and agricultural products.
16. The RRP activities included:
Rehabilitation (strengthening, widening and replacing associated structures) of National Road 2 over 120 kms from Richard-Toll to Ndioum and of National Road 6 up to 256 kms from Ziguinchor to Kounkané;
Implementation of environmental and social mitigation measures including (i) developing community reforestation plans, (ii) implementing an HIV/AIDS awareness-raising program, (iii) relocating or resettling families likely to be affected by the rehabilitation construction, (iv) implementing an environmentalawareness program for communities, (v) ensuring environmental monitoring, (vi) tree planting in lines, (vii) constructing/relocating weekly markets, (viii) supporting the use of wood products from deforestation caused by communities, and (ix) an affirmative action strategy for the recruitment of women in infrastructure works.
17. The RN#2 is the main transportation and export road for products from irrigated perimeters along the Senegal River. It is also a strategic road link with Mauritania and Mali.
18. The RN#6 links Senegal with Guinea Bissau, Guinea (Conakry), and Mali. The RN#6 is also a strategic road that enables the transportation of local agricultural products and other products and services from the Casamance region to the rest of Senegal without having to travel through the Gambia. The RN#6 is the single national road providing land access to and from the Casamance. The rehabilitation of these national roads (NRs) is expected to stimulate the internal and trans-border traffic and facilitate trade by providing reliable access all yearround.
19. According to the Compact, RN # 2 is expected to benefit some 21,000 households or 250,000 people over the next 20 years.
3 About 99% of goods produced in Senegal are transported by road and 95% of national travels are made by road.
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20 According to the Compact, the RN # 6 activity is expected to affect some 102,000 households, or about 1.1 million people over the next 20 years.
21. The expected traffic results are presented in the table below:
Table 1: Traffic on sections of roads to be rehabilitated by the Compact4
Sections 2009 (*) Results for2012 (**)
Targets in 2015 (***)
RN2 Richard-Toll – Ndioum 870 1,029 1,116RN6 Lot 1 Ziguinchor – Tanaff 540 181 963RN6 Lot 2 Tanaff – Kolda 820 23 562RN6 Lot 3 Kolda – Vélingara 1,200 716 1,426
N.B.: (*): Objectives and baseline as set in the Compact.(**): Results of the counting study undertaken in 2012 by AGEROUTE(***): Targets from the Closeout M&E Plan
1.2.2. The Irrigation and Water Resource Management Project
22. The Senegal River Valley is conducive to intensive irrigation because of its:
- Long history of irrigation in the valley for over 30 years;- Availability of water for irrigation;- Support from the government, from the National Company for the Development and Exploitation of Land
in the Delta of the Senegal River and the Valleys of the Senegal River and the Faleme (SAED), frombanking institutions such as the National Agricultural Credit Institution of Senegal (CNCAS) and from the financial partners (Word Bank, JICA, French Cooperation, GTZ, African Development Bank (AfDB), BADEA, Kuwait Fund, etc.;
- Strengthened capacity of farmers' associations to manage irrigation systems.
23. Tapping the full agricultural production potential in the valley could largely address the national needs for agricultural products, particularly for rice, even without further improvements that are still needed along the value chain. However, various constraints have led to the abandonment of thousands of hectares of land. Associated with low agricultural yields, this situation was largely attributable to insufficient availability of water for irrigation, the lack of an adequate drainage system and its consequence, i.e., soil salinity.
24. The Irrigation and Water Resource Management Project contributes to the poverty reduction strategy and agricultural development in the Valley. Its objective is to increase the productivity of the agricultural sector by (1) increasing cropping intensity; (2) increasing agricultural production and farm incomes; (3) increasing investments in the agricultural sector, and (5) improving the local governance of land resources5. The project focuses on 3 activities: “Delta activity”, “Podor activity” and “land tenure security activity.”
25. The goal of the land tenure security activity was to provide or maintain an environment conducive to landtenure for all beneficiaries directly involved in the project by granting them land tenure titles and by providing local governments with adapted land registers and records. This is expected to help improve the level of investment in the area. To fulfill such an ambition, the project supported the development and implementation of efficient land allocation conditions and processes for fair and secured access to land. It strengthened the capacities of local officials through the development of tools such as procedures manuals as well as through communication and training in land management. This process facilitated the allocation and formalization of land use rights in accordance with current legislation and contributed to considerable reduction of land conflicts in the program area.
26. According to the Compact, the Irrigation and Water Resource Management Project will benefit the households using the perimeters, the owners or the shareholders of agricultural enterprises and the households working in the farms. The total number of beneficiaries is estimated at about 22,390 households or 260,000 people,52% of which are female.
4 OD and counting surveys data5 See Annex II: Logic of the Irrigation and Water Resources Management Project
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27. The key results expected from the Irrigation and Water Resources Management Project are presented in the table below:
Table 1 : IWRM Project objectives
Indicators 2009(*)
2012(**)
Targets in 2015 (***)
Long-TermTargets (***)
Production of paddy rice (tons) 55,000 107,000 111,000 277,000Production of Tomatoes (tons) 10,500 14,200 35,500 115,000Production of onions (tons) 5,000 16,000 40,000 130,000Delta cropping intensity 60% 60% 70% 150%Ngalenka cropping intensity 0% 20% 120% 180%
N.B. : (*): Baseline as set in the Compact.(**): 2012 Targets as set in the Closeout M&E Plan(***): Targets as set in the Closeout M&E Plan
1.3. ECONOMIC IMPACTS OF THE PROJECTS
28. The projects implemented under the MCA-Senegal Program are to attain revised economic rates of return somewhere between 2% and 11%, based on calculations over a 20-year period. The projects will mostly benefit:
quintiles 2 (<$2 per day) and 3 (from $2 to $4 per day) for the RN#2 and RN#6 rehabilitation project;quintiles 1 (<$1.25 per day), 2 (<$2 per day) and 3 (from $2 to $4 per day) for activities in Ngalenka, and;quintiles 2 (<$2 per day), 3 (from $2 to $4 per day)and 4 (>$4 per day) for activities in the Delta6.
Table 2: Results of the economic analysis of MCA-Senegal projects
Activities Original (ERR) (*) Date of originalERR
Revised current ERR
Date of revised current ERR
RN#6 Rehabilitation 11% Year 2009 1 to6.8% June 2015
RN#2 Rehabilitation 11% Year 2009 8 to11% June 2015Irrigation and Water Resources Management 16% Year 2009 10 to 11% March 2013
N.B.: (*)ERR incorporating the Compact management costs. ERR: Economic Rate of ReturnSources: Economic Analysis du MCC, 2009, 2012 and 2013, and 2015.See http://www.mcc.gov/pages/countries/err/senegal-compact or www.mcasenegal.org
6 See the beneficiary study
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1.4. PROGRAM BENEFICIARIES
29. The purpose of the MCA-Senegal Compact is to help reduce poverty in Senegal through economic growth.The objective of the program7 is to help improve agricultural productivity and access to markets and services through investment in structural infrastructure in the road and irrigation sectors through two major projects:
The Project for the Rehabilitation of national roads 2 and 6 with the objective of improving access to markets and services with a view to reducing the duration and costs of transportation.
The Irrigation and Water Resources Management Project which seeks to increase the productivity of the agricultural sector through expansion and improvement of the irrigation systems in Northern Senegal.
30. According to the Compact, the number of direct beneficiaries is estimated at about 1.55 million people by2029, or about 138,600 households, including 1.1 million people living in the natural region of the Casamance8. Inthat area, the majority of direct beneficiaries come from households living with less than $US 2 per person and per day, with 42% of them living with less than $US 1.25 per person and per day. In the northern area, about 45% of direct beneficiaries are households living with less than $US 2 per person and per day, including 25% living with less than $US 1.25.
31. The program will generate direct services to beneficiaries, including about 38% for those living in thenatural region of the Casamance and 62% for those in the Senegal River Valley. Ultimately, the programwould contribute significantly to the development of the Casamance by facilitating future investments in the region(leverage effect). See table below.
Table 3 : Estimation of Program Beneficiaries
Projects Estimated number of beneficiaries
Estimated number beneficiary houselholds
Roads Rehabilitation Project 1,350,000 people 123,000 households
Irrigation and Water Resources Management Project 260,000 people 22,390 households
TOTAL 1,550,000 people (*) 138,600 households(*)
N.B. : (*) : Some households in the Northern Zone will benefit from the Roads and Irrigation Projects..
7 See Senegal Compact, Annex 1.8 Source: Senegal Compact, Annex 1 1-2. Some people in the Northern Zone are also benefitting from both the Irrigation and Roads Projects
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2. MONITORING COMPONENT
2.1. MONITORING STRATEGY
32. The Post-Compact MEP aims to:
Measure, through performance indicators ("Program Monitoring function"), the results and performanceof the Program during and after its implementation to ensure that the objectives and the expected economic gains will be achieved, and;Track the results and level of achievement of MCA-Senegal's performance indicators as defined in the different agreements, and report on the achievement of (or failure to achieve) the program objectives,using the ITT.
2.1.1. Objectives and organization
33. The purpose of the Program’s post-Compact performance monitoring is to track the results and level of achievement of performance indicators, as defined in the different agreements, and report on the achievement of (orfailure to achieve) the program objectives.34. The main stakeholders of post-Compact Monitoring and Evaluation are:
Decision makers: The Government of Senegal and the Millennium Challenge Corporation;Implementing partners: the implementing partners (AGEROUTE and SAED);Partners: other development players, local and administrative authorities, etc.Beneficiaries: Direct beneficiaries, the general public and the press.
35. The roles of the key players involved in the implementation of the post-Compact Monitoring and Evaluation Plan are:
Implementers of the post-Compact M&E Plan: this group of players (who provide input and facilitate the M&E Plan) includes SAED and AGEROUTE focal points and the MCC focal point from the Support Unit ofMCA-Senegal;First level users (primary users of information from the M&E system): this group includes the MCC, the Prime Minister’s Office (Support Unit of MCA-Senegal);Second level users: This group includes other partners (ANSD, DEEC), development partners involved inthe same intervention zones as MCA-Senegal (World Bank, European Union, GTZ, JICA, etc..), partner projects and programs in the same geographic areas, administrative and local community authorities, professional organizations, and direct beneficiaries (households and enterprises);Third level users: this group includes the beneficiaries, the General Public and the Press.
36. The results and performance of the Program will be monitored through the performance indicators defined in the agreements, and especially on the basis of Annex III of the Compact.
2.1.2. Performance Indicators
37. The Program was monitored during the five years of the Compact, using performance indicators9. The next three years will help measure the long-term effects and sustainability.38. Document 2 "Memorandum on Post-Compact M&E Plan/2015" presents the results and sustainability indicators selected for measuring progress by the Compact, with baseline and target indicators.39. See Annex V on MCA-S’s performance indicator targets.40. For each performance indicator, a baseline, a target, the methodology and frequency as well as the person in charge of data collection are defined. See Memorandum on Post-Compact MEP/2015 relating to the definition of performance indicators.41. Through these indicators, program performance can be monitored during the post-Compact period, to ensure achievement of the objectives and economic gains.
9 See Annex III. Description of the Monitoring and Evaluation Plan, Senegal Compact
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42. For each indicator, a tracking sheet is developed to facilitate its collection, monitoring and use. See Memorandum on Post-Compact MEP/2015.
43. The indicator sheets provide for each indicator:
- The specific definition;- The origin (or source) of the data;- The frequency of collection;- Baselines and targets per period, and;- Analyses and performance reviews.44. The table below presents the post-Compact list of indicators.
Table 4 : Post-Compact goal, objective and result indicators
Level Indicator (Code and title) UnitData disaggregation by …
Sex Age Income Locality/Project type
Goal P indicator 1: Rate of variation of beneficiaries’ net income drawn from the Irrigation Project % YES NO YES NO
Goal P indicator 2: Change in vehicle operating costs per trip/kilometer for the RN2 US$ NO NO NO NO
Goal P indicator 3: Change in vehicle operating costs per trip/kilometer for the RN6 US$ NO NO NO NO
Irrigation and Water Resources Management ProjectOutcome IWRM indicator 1: Rice Paddy Production Tons NO NO NO YESOutcome IWRM indicator 2: Tomato production Tons NO NO NO YESOutcome IWRM indicator 3: Onion production Tons NO NO NO YESOutcome IWRM indicator 4: Cropping intensity (Delta) % NO NO NO NOOutcome IWRM indicator 5: Cropping intensity (Ngalenka) % NO NO NO NO
Outcome IWRM indicator 6: Total area with improved irrigation infrastructure (Delta and Ngalenka) Ha NO NO NO YES
Outcome IWRM indicator 7: Hectares under production across cropping seasons Ha NO NO NO YES
Outcome IWRM indicator 8: Total flow measured (Q) at the Ronkh and G works Rate NO NO NO NO
Outcome IWRM indicator 9: Number of hectares formalized (having a land allocation title and registered) Ha NO NO NO YES
Outcome IWRM indicator 10. : Percentage of land disputes resolved % NO NO NO YESOutput IWRM indicator 11: Conflicts successfully mediated Number NO NO NO YES
Output IWRM indicator 12. : Parcels corrected or incorporated in the land system Parcels NO NO NO YES
Output IWRM indicator 13: Land rights formalized10 Number NO NO NO YES
Output IWRM indicator 14: Number of land management committees and commissions set up or improved upon Number NO NO NO NO
Outcome IWRM.15. : Total length of main drainage canals and outfalls serviced (raked and/or cleaned out) annually Number NO NO NO YES
Outcome IWRM.16. : Number of pumping equipment serviced annually Number NO NO NO YES
ROADS REHABILITATION PROJECT
Outcome RRP Indicator 1: Average annual daily traffic (AADT) Richard-Toll – Ndioum Number NO NO NO NO
Outcome RRP Indicator 2: Average annual daily traffic (AADT) Ziguinchor – Tanaff Number NO NO NO NO
Outcome RRP Indicator 3: Average annual daily traffic (AADT) Tanaff –Kolda Number NO NO NO NO
Outcome RRP Indicator 4: Average annual daily traffic (AADT) Kolda –Kounkané Number NO NO NO NO
Outcome RRP Indicator 5: Rate of change in the duration of travel time on RN#2 % NO NO NO NO
Outcome RRP Indicator 6: Rate of change in the duration of travel time on RN#6 % NO NO NO NO
Outcome RRP Indicator 7: Roughness (RN2) m/km NO NO NO NOOutcome Indicateur RRP.8. : Roughness (RN6) m/km NO NO NO NO
10 This indicator refers to households, businesses and legal entities holding formalized land rights
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Level Indicator (Code and title) UnitData disaggregation by …
Sex Age Income Locality/Project type
Outcome RRP Indicator.9. : Road traffic fatalities Number YES NO NO YESOutput RRP Indicator 10: Kilometers of roads rehabilitated on RN#6 Km NO NO NO NOOutput RRP Indicator 11 : Kilometers of roads completed Km NO NO NO YES
OutcomeRRP Indicator12. : Percentage of the annual budget mobilized for the road network maintenance with regard to the annual necessary budget (Ratio budget with constraint on the budget without constraint)
% NO NO NO NO
Outcome RRP Indicator13. : Percentage of paved roads maintained in good and average condition % NO NO NO NO
Outcome Indicator RRP.14. : The visual state of the road network % NO NO NO YESOutcome Indicator RRP.15. : The deflection Number NO NO NO YESOutcome Indicator RRP.16. : Number of gardening plots functional Number NO NO NO NOOutcome Indicator RRP.17. : Number of borrow-pits rehabilitated Number NO NO NO NO
2.2. DATA QUALITY REVIEWS
45. To ensure the accuracy, objectivity and reliability of the data used to measure the performance of MCA-Senegal as well as the sources and methods used to collect data on performance indicators, the Post-Compact M&E plan includes a strategy for data quality evaluation and management. This strategy precisely defines the responsibilities of each entity involved in data collection and information management.
46. Data quality was reviewed in accordance with the procedures and requirements described by MCC’sprocedures11. The strategy included a schedule of internal and external data quality assessments undertaken with the support of independent consultants. It is a process requiring quality assurance at every level, throughout the chain.
47. The objectives of data quality reviews were to assess the conformity of the monitoring – evaluation datawith the standards defined by MCC's M&E procedures. The data were audited on the basis of the following criteria:
- Validity: Do the data satisfactorily represent the desired results?- Reliability: Are the data collection procedures stable and consistent over time?- Timeliness: Are the data current and frequently collected?- Precision: Do the data have an acceptable margin of error?- Integrity: Are the data free from manipulation?- Appropriateness: To what extent do the indicators fully portray the results?- Practicability: Are the data current and frequently collected?
48. The main sources of data in the Post-Compact M&E are:
(i) Surveys (Households and Businesses, on the roads, etc.);(ii) Beneficiary organizations and individuals of the intervention area;(iii) Consultants responsible for conducting studies for MCC;(iv) Partners (ANSD, SAED, AGEROUTE, Development partners intervening in the same areas,
other sources);(v) etc.
49. SAED and AGEROUTE are each responsible for the quality of data that they provide. They ensure that the data collection procedures do not include risks for data quality and comply with the basic conditions and factors influencing data quality. 2.3. REPORTING REQUIREMENTS
2.3.1. Post-Compact Annual Report
11 See «M&E Policy» and “Policy on Prevention, Detection and Remediation of Fraud and Corruption”. www.mcc.gov
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50. The Post-Compact Annual Report shall describe:
A summary of activities implemented by the government as a follow-on to the Compact and the level of achievement of construction works and additional activities;The status of all works and/or activities originally planned under the Compact that were not completed by CED, including:
o The closure of worksites and borrow pitso Completion of resettlement activities o Completion of reforestation activities
An update regarding the status of environment and social measures (reforestation, sustaining livelihoods, etc) that were implemented under the compactAn update regarding the sustainability and maintenance actions regarding :
o The Ngalenka perimetero The Irrigation Maintenance Action Plano The ongoing implementation and/or expansion of the Land Tenure Security Activitieso Routine and periodic maintenance on the roadso The status and/or any changes regarding the overloading of trucks on the roads
The annual ITT.
51. The Post-Compact Annual Report will be a compilation of the annual reports from SAED and AGEROUTE. It will be prepared by the Supporting Unit for MCA-Senegal or the entity designated by the Prime Minister’s Office for that purpose. The report shall be submitted before March 31 of each of the three years following the completion of the Compact.52. The annual report shall be submitted by e-mail to the MCC Vice-President in the Department of Compact Operations (DCO), with a copy to MCC’s Monitoring and Evaluation Expert ([email protected]). The email subject line must include the country name followed by Post Compact Reporting and the report period. For Senegal, for instance, this would read as follows, « Senegal Post Compact Reporting January-December 2016 ».
53. The schedule for collection and use of indicators is as follows:Table 5 : Schedule for the collection and use of performance indicators
Frequency of collection Deadline Entity responsible for action
Summary deadline Submission to MCC
Annual ITT Year # 0: October – December 2015 10 January 2016 M&E Directorate 15 January 2016 20 January 2016Year # 1: January – December 2016 20 January 2017 CGS in conjunction
with SAED andAGEROUTE
31 January 2017 31 March 2017
Year # 2: January – December 2017 20 January 2018 31 January 2018 31 March 2018
Year # 3: January – December 2018 20 January 2019 31 January 2019 31 March 2019
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 15
3. EVALUATION COMPONENT
3.1. EVALUATION STRATEGY ____________________________________________________________________________________
54. Evaluation is an essential component of MCA-Senegal Program and is a major focus of MCC’s approach.This approach incorporates specific methodologies that can provide guidance on the impact of the programsimplemented and attributable to the intervention of the funded projects.
55. The evaluation component of the MCA-S M&E Plan aims to:
Complete a retrospective analysis (summative evaluation) of results achieved in light of the expected outcomes and determine whether these results are attributable to the intervention;Assess the impact of MCA Senegal’s projects on the beneficiaries, including vulnerable groups whomay be less likely to equally benefit from program activities;
56. The evaluation strategy is based on scientific models with advantages of neutrality, accuracy, objectivityand validity of information. The evaluation methodologies are selected on the basis of the assessment of thesecriteria and of their costs.
57. The activities of the post-Compact evaluation component should be focused on independent evaluations.
58. The evaluations should also analyze the differences in the project impact disaggregated by gender, age and income.
59. Each evaluation will be based on statistical methods, using data collected through surveys undertaken by MCA contract consultants, and on data collected by MCC consultants during the post-Compact period.
60. The collaboration between the MCA-Senegal monitoring-evaluation team and the impact evaluation teams will be pursued with the post-Compact monitoring-evaluation teams (SAED, AGEROUTE, Supporting Unit for MCA or any other entity designated by the Prime Minister’s Office).
3.2. SPECIFIC EVALUATION PLANS
61. Activities of the evaluation component will be focused on:
i. Independent evaluation: in accordance with the procedures in force, an independent evaluation of project outcomes will be undertaken. This in-depth results-focused evaluation will help measure changes registered at individual level, in the households or in the well-being of the community as a result of the intervention of the Irrigation and Roads projects. MCC is responsible for the selection of one or several independent consulting firms specializing in evaluations to design and carry out the evaluation of bothprojects.
ii. Special studies.
62. See table below on specific evaluation plans.
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 16
Table7: Summary of Specific Evaluation Plans
Name of evaluation Surveys concerning Evaluation period Type of
evaluation Evaluator Methodology Date ofFinal Report
Evaluation of IWRM Project
Baseline Survey of IWRM Project
March 2012 – January 2013
Impact To be determined
Difference-in-difference Early 2019Mid-term Survey of
IWRM Project Ngalenka & Delta: Sept-Dec 2016
Final Survey of IWRM Project Ngalenka & Delta:June 2017-May 2018
Evaluation of Roads Project
Baseline Survey of Roads Project May - December 2012
Performance To be determined HDM-4 End of 2018
Counting Survey an OD initial situation September 2012
Counting Survey and OD Sept.-2015
Counting Surveys Regularly through 2018
Additional surveys for analysis of final HDM-4 2018
3.2.1. Impact Evaluation
3.2.1.1. Evaluation of the IWRM Project Impact63. It is worth noting that the evaluation plan for this project was adopted in 2011 in conjunction with MCC and its consultant, IRIS Center of University of Maryland, for the evaluation. The design is based on the difference-in-difference estimation with matching.
Sample selection
64. Since the IWRM Project beneficiaries were selected on a non-random basis, the sampling methodology for the survey should have identified and selected treatment areas (beneficiaries of interventions) as similar aspossible to comparison communities (i.e. to represent the counterfactual).
65. The methodology proposed is based on the difference-in-difference (DID) method which compares changes before-after the results between households in the intervention areas (treatment group) and households incomparison zones (comparison group).
66. The key assumption of the difference-in-difference methodology is that the outcome trends between the treatment group and the comparison group should be similar. However, in case the characteristics of the treatment and control groups are highly different, a combination of the difference-in-difference method and the matching estimation is used.
67. The combined difference-in-difference with matching approach is a merger of the difference-in-differencemethod and matching estimation to compare the changes in the results of households belonging to the treatmentgroup with those of households of the comparison group based on observable characteristics.
Survey data collection
68. MCA–Senegal signed an Implementing Entity Agreement with the National Statistics and Demography Agency for the collection of baseline data in the geographic areas of intervention and control of the IWRM Project.The survey data are collected during three visits in the Delta and the Podor region. The three surveys help collect information on households, achievements and results of the three cropping seasons:
Cold off-season (wave 1: from December 2011 to March 2012);Hot off-season (wave 2: from April to July 2012); andWet season (wave 3: from August to November 2012).
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 17
69. Prior to the survey, a comprehensive census to collect a set of variables used to match treatment households and control households was carried out.
Household sample selection in the Delta
70. The census carried out in March 2012 in the Delta, in the departments of Saint-Louis and Dagana, identified atotal of about 11,600 households surveyed on the basis of the following criteria:
Age and sex of head of household;Household size;Number of male and female workers;Number of male and female agricultural workers;Ethnicity;Educational level;Socio-administrative status;Status of land belonging to head of household;Involvement in FO (Farmer Organization);Types of roofs, floors, walls
71. These were used as distinct variables in the sample selection of households to be interviewed during the three visits to comply with the difference-in-difference and matching methodology.
72. Thus, 1,637 treatment households and 1,637 control households were drawn, or 25% more than the required sample size. To identify similar control households, the commonly-used matching method, i.e., thepropensity score method, was used.
Podor sample selection
73. In the Ngalenka zone (Podor), the census held in March 2012, helped identify 1617 households in the Podor treatment zone and 585 others in the Podor comparison zone. However, in view of the fact that the households are not yet known, all 1617 households of the treatment zone were sampled. By contrast, for the comparison zone, a random sample of 440 households in the Podor comparison zone was selected.
Evaluation questions:
74. Using the conceptual model adopted for the baseline survey, the key research questions to be addressed are:
Has access to (or use of) irrigation water increased?Has there been an increase in hectares under production?Has there been an increase in the volume of agricultural production?If so, by how much?What is the impact of project activities on the sources and level of household income?Does the impact on outcomes vary according to gender, age and income group?Do project activities result in better perception of land tenure security?Does improved land tenure security encourage farmer investment?
Other Analyses
75. The evaluation of the IWRM project impact will also include gender and other sub-groups analysis (age, socio-economic category, etc.) and that of unintended consequences.
76. The gender and other sub-groups analysis will be done based on beneficiary involvement by examining the distribution of benefits by sub-group (for example gender and income category). This analysis seeks to address the following questions:
(1). How many people are expected to benefit from increased household incomes as a result of the project?
(2). What is the ratio of poor beneficiaries?
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 18
(3). How much on average will each individual beneficiary gain from the project?(4). For each dollar invested by MCC, how much will be gained by the poor?(5). What have been women’s experiences and the resulting socio-economic changes, especially in
the basin of Ngalenka?
77. The analysis of "unintended consequences" will focus on unforeseen obstacles or on unexpected side effects of the IWRM Project, using quantitative data collected from households, businesses and other stakeholders through the following questions:
Were there any unintended consequences of the IWRM project? If so, why did they occur?Who was affected by any unintended consequences?Could any unintended negative consequences have been mitigated? How?
3.2.1.2. Evaluation of the Roads Project Impact
78. For the Roads Rehabilitation Project, the independent evaluation seeks to assess the economic benefits to the Roads Project.
79. At the beginning of the project, MCC and MCA tried to carry out an impact evaluation based on a difference-in-difference methodology. Eventually, it was decided that the method was not the best for assessing all the project benefits, based on the following reasons.
80. The Roads Rehabilitation Project (RRP) aims to increase incomes for numerous households. However, expected benefits for each individual household are not likely to be large enough to be captured by the difference-in-difference method. Furthermore, it would not be possible with the difference-in-difference methodology to capture the full expected benefits for the roads project. There are many road users who do not live nor are based near the road, but who use it regularly. Benefits for these users would not be captured by the difference in difference methodology.
81. A review by MCC of former evaluations, with input from transportation experts, identified the HDM-4 model as the most suitable method for estimating road project benefits (especially for primary roads). Consequently, MCC has decided to use the HDM-4 model for estimating the RRP’s final benefits.
82. In using the HDM-4 to estimate the benefits of the Roads Project, the evaluation will include an estimate not only of the end-of-project status, but also a second estimation three years after the end (in 2018) of the project. This second estimation will be supported by repeat traffic counting surveys and other studies required under the model over a three-year period following the end of the Compact. The Roads Rehabilitation Project (RRP) is expected to increase the incomes of numerous households. But, the benefits expected for each individual household would not likely be significant enough to be captured by the difference-in-difference method. Furthermore, in the current context of the RRP, it is not possible with the difference-in-difference method to capture the expected benefits for the treatment groups. In fact, there may be a number of road users who might not be established near the road but who could use it regularly. In this case, benefits for the latter group, in terms of reduction in transport costs would not be captured by the established methodology.
83. The new methodology will address the following questions:
a. What is the value of the project benefits?b. Was the project justified based on cost-benefit analysis?c. What was the increase level in traffic on RN2 and RN6?
The final evaluation report is due at the end of 2018.
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 19
4. MANAGEMENT AND ADMINISTRATION OF MONITORING AND EVALUATION___________________________________________________________________________________________
4.1. MONITORING AND EVALUATION RESPONSIBILITIES____________________________________________________________________________________
85. The development of the post-Compact Monitoring and Evaluation Plan by the program staff wasbased on a participatory approach involving implementing partners (SAED AGEROUTE), other partnersand the beneficiaries in accordance with MCC's monitoring and evaluation procedures. The management of the M&E plan will be under the responsibility of the entity to be designated by the Prime Minister’s Office, working closely with SAED and AGEROUTE.
86. The management and coordination of all post-Compact monitoring and evaluation activities are under thedirect responsibility of the entity designated by the Prime Minister’s Office for that purpose. The entity is responsible for the collection, compilation, processing and analysis of activity data and specific indicators.
87. The MCC focal point for monitoring and evaluation will provide technical assistance to the post-Compact monitoring and evaluation team, to facilitate the implementation of specific activities in accordance with existing procedures.88. The main tasks of the Monitoring and Evaluation Directorate are:
setting up a monitoring and evaluation system including the collection, processing, analysis,verification/validation and centralization of information on ITT indicators;disseminating information and results related to program performance and impact in orderto ensure transparency through the website and/or any other medium;facilitating participation in M&E activities and attracting the interest of different stakeholders directly or indirectly involved in the conduct of activities and the success of the Compact;verifying data quality;managing partnership agreements with governmental entities in the field of monitoring and evaluation;facilitating the work of impact evaluation teams, particularly through mission planning
support, coordination of stakeholders’ comments on deliverables, and organization of restitution workshops.
89. The Compact Activities Monitoring Unit (USAC) shall perform the following tasks:
Collecting and reporting on activity data from other partners in the geographic intervention areas of the projects;External dissemination of the data on MCA-Senegal’s indicators, particularly amonggovernment agencies;Optimizing experiences/lessons learned from MCA-Senegal’s implementation process;Working closely with MCC to update economic rate of return indicators based on field data.
4.1.1. Monitoring and Evaluation Dissemination system
90. Disseminating the results of the post-Compact Monitoring and Evaluation Plan is structured around the following products:
Annual Report, including the Indicator Tracking Table (ITT), which presents the level of periodic and cumulative achievement of the performance indicators;
Special Reports: These are updates developed upon request, survey reports, and specific studies reports.
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 20
4.1.2. Communication Strategy of Post-Compact Monitoring-Evaluation____________________________________________________________________________________
91. The organization of stakeholder workshops is also planned as part of the Post-Compact M&E Plan to disseminate the results. USAC or the entity designated by the lead Ministry will take on that role.
5. M&E BUDGET___________________________________________________________________________________________
92. The impact evaluation is directly funded by the MCC. MCC will cover the costs for the recruitment of independent evaluators and evaluation-related data collection while the Government of Senegal will be responsible for the collection of monitoring data and for the organization of restitution workshops for these evaluations.
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 21
ANNEXES
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 22
6. ANNEXES
6.1. ANNEX I: GLOSSARY
Accomplishment: is the physical or no-physical state that results from products and services deriving directly fromthe implementation of project activities.
Activity: Actions taken or work performed through which inputs, such as funds, technical assistance and othertypes of resources are mobilized to produce specific outputs. As a general rule, several activities make up a Projectand contribute to achieving the Project Objective.
Assumptions: explicit and reasonable suppositions about the behaviors of variables or factors exogenous to theproject (background information) likely to have an impact on the progress or success of this project. They areexpressed in the form of permissive conditions in the program logic and relating to conditions considered asnecessary to fully achieve the set objectives.
Baseline (starting point): the situation before a development action that serves as a reference point against whichthe progress achieved can be assessed or compared. It is the description of the state in which, prior to theintervention, the project’s action zone, the beneficiaries, the main stakeholders are in, as well as the keyparameters for the realization, outcome and impact indicators. All this information will serve as a benchmark tomeasure the progress accomplished.
Baseline survey or baseline study: a survey or study conducted at the start of a project/program and prior to thedevelopment intervention in order to obtain information that could establish a reference situation including data oneach category of actors and beneficiaries. It will serve as a reference point against which the progress made(results and accomplishments) can be assessed and as an important reference for the final evaluation.
Beneficiary: a person whose standard of living is improved through an increase in income deriving from theeconomic gains generated by projects financed by MCC.
Common indicator: indicators used by MCC to pool the results of different countries in some sectors and providean external report on key stakeholders.
Compact – the agreement referred to as Millennium Challenge Compact, concluded between the United States,acting through the Millennium Challenge Corporation, and the Government of countries benefitting from theassistance of the Millennium Challenge Account pursuant to which, the MCC provides this assistance to thecountry.
Counterfactual situation: the situation or conditions which, according to assumptions, would have occurred forsome people or groups of people, in the absence of the MCC program.
Critical condition: condition which belongs to the project environment and which is out of control and outside theresponsibility of the project manager.
Outcomes: changes, intended or unintended, that derive directly or indirectly from a development intervention.
Economic Rate of Return (ERR): an analysis of growth at micro-economic level which measures the increasesexpected in household incomes or the added value of different firms to compare them with the costs linked toincome increases. The economic rate of return is expressed in terms of percentage and represents the interestrates for which the discounted net benefits is equal to the net discounted costs.
Efficiency: correlation between the results obtained and the means deployed (human, material, financial, time,etc.).
Effectiveness: the extent to which a project achieves desired changes for its target population.
Entry Into Force: date with effect from which the Compact comes into force, i.e. the beginning of its lifespan. TheCompact duration is 5 years.
Evaluation: systematic and objective assessment of an ongoing or completed program, of its development, itsimplementation and its results. The purpose of the evaluation is to provide responses to specific questions, make
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 23
an overall judgment on an operation and draw lessons meant to improve the actions, planning and future decisions.The evaluation is generally meant to determine the efficiency, effectiveness, impact, sustainability and relevance ofthe objectives of the project or the organization.
Final evaluation: an evaluation performed at the end of the project or of the period of implementation of an actionin order to identify the performances, results and impacts in comparison to the baseline and its objectives.
Goal: the ultimate objective of a development action. As far as the Compacts go, the purpose has always been toreduce poverty through economic growth.
Goal indicator: indicators that measure developments in economic growth and poverty reduction observed duringand after the program’s implementation.
Impact evaluation: a study that appraises the evolution of the income of individuals, households or the communityas well as other welfare aspects as a result of the action of a given project or program. The distinctive feature of an impact evaluation is the use of the counterfactual scenario, which identifies what would have become ofbeneficiaries if the project or program did not exist.
Impact: the effect a Compact is expected to have on the beneficiaries. The impact of MCC Compacts is povertyreduction through economic growth.
Indicator: a quantitative or qualitative variable, which provides simple and reliable means of measuring theperformance of a development action.
Inputs: the financial, human and material resources used for development interventions.
Integrated Management System: a system designed to collect, process, and store and disseminate data to helpin the management of programs.
Mid-term review: evaluation performed mid-way of the program’s intervention period in order to identify theperformance and results of the project in relation to the reference situation and the initial objectives.
Relevance: measurement in which the objectives of a project correspond to the priorities of the target group andthe policies of borrowers and donors.
Results-based management: a management philosophy and approach that focuses more on the achievement ofresults with respect to planning, implementation and monitoring-evaluation. It is based on the principle of thecommitment made to achieve results and serves as a guide for the definition of activities, the evaluation of meansdeployed and the management strategy of the project/program. It is meant to compare the expenditure on theactivity and the activity of beneficiaries and to ensure traceability and accountability.
Result: the outcome or impact of a development intervention, it is a measurable and describable change thatresults from the performance of a certain number of activities or derives from a cause-and-effect relationship.
Risk management: comprises the entire processes of the project’s risk management planning, identification andanalysis, responses as well as its monitoring and control. Most of these processes are updated throughout theproject's lifespan. The objectives of risk management are to increase the likelihood and impact of positive eventsand reduce the likelihood and impact of events unfavorable to the project.
Risks: threat to the internal or external environment, likely to delay or prevent the accomplishment of the projectobjectives, hamper its timely commencement or continuation. It involves the possibility that an event withundesirable consequences may occur.
Stakeholders: the people and organizations actively involved in the project or program, or whose interests may bepositively or negatively impacted by the implementation or completion of the project.
Sustainability: probability that the positive effects of a project or a program continue after the termination offunding.
Target: the result that a specific indicator is expected to achieve at a given time.
Mill
enni
um C
halle
nge
Acco
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al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
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lan–
Rev
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n N
° 1
–Fi
nal V
ersi
on
24
6.2.
ANNE
X II:
PROG
RAM
LOGI
C6.2
.1.Lo
gic o
f the
Irrig
atio
n an
d W
ater
Res
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Prob
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ong-
term
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com
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(Yea
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2016
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Impa
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(Yea
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Activityin theDelta ($159.4m)
Low
agric
ultur
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ldsTh
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nds o
f hec
tares
of la
nd
aban
done
dLo
w ag
ricult
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or qu
ality
of irr
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or qu
ality
of ex
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wate
r for
irr
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ted-
149 k
m of
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36 km
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8 km
of pr
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kes b
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ectar
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prod
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ase i
n wate
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(65m
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p a sa
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Incre
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come
s-
Enha
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n the
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Inves
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the
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Pim
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of a
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and
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-
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rs-
8day
care
cente
rs bu
ilt-
8man
agem
ent c
ommi
ttees
set u
p-
16 te
ache
rs an
d ass
istan
ts tra
ined
-Nu
mber
of ch
ildre
n atte
nding
day
care
cente
rs inc
reas
ed
-W
omen
’s pr
oduc
tivity
incre
ased
-Nu
mber
of ch
ildre
n enr
olled
in pr
imar
y sc
hools
befor
e age
7 inc
reas
ed-
Wom
en’s
empo
werm
ent a
nd se
lf-pr
omoti
on in
creas
ed
*Figu
res r
epor
ted in
this
prog
ram
logic
have
not b
een u
pdate
d to c
orre
spon
d toa
ny ne
w tar
gets
set in
ther
evise
d M&E
Plan
. Whil
e the
prog
ram
logic
rema
ins th
e sam
e, the
figur
es m
ay
have
sligh
tly ch
ange
d.
Mill
enni
um C
halle
nge
Acco
unt S
eneg
al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
atio
n P
lan–
Rev
isio
n N
° 1
–Fi
nal V
ersi
on
25
6.2.2.
Logi
coft
he R
oads
Reh
abilit
atio
n Pr
ojec
t
Prob
lemAc
tiviti
y/Sub
-Act
ivitie
sOu
tput
s (Ye
ars 1
-5)
2010
-201
5Sh
ort-t
erm
Out
com
es
(Yea
r 5) 2
015
Medi
um/L
ong-
term
Out
com
es
(Yea
rs 6-
10)
2016
-202
0Im
pact
s (Y
ears
10-2
0)
Rehabilitation ofRN2
The R
oads
Reh
abilit
ation
Pro
ject
is de
signe
d to i
ncre
ase
bene
ficiar
ies’ a
cces
s to d
omes
tican
d inte
rnati
onal
marke
ts tha
nks
to be
tter q
uality
road
s and
are
ducti
on in
trav
el tim
e and
costs
.Th
e roa
d sec
tor pl
ays a
key r
olein
Sene
gal. A
bout
99%
of go
ods
prod
uced
in S
eneg
al ar
etra
nspo
rted b
y roa
d and
95%
ofdo
mesti
c tra
vels
are d
one b
yro
ad.
-Reh
abilit
ation
of R
N2-C
onstr
uctio
n of th
e Ndio
um
Bridg
e-
-Co
nstru
ction
-relat
ed te
mpor
ary j
obs c
reate
d-
120k
m of
road
s reh
abilit
ated o
n RN2
-Imp
rove
d qua
lity of
road
s-I
ncre
ased
traff
ic on
RN2
and
RN6
-Red
uctio
n of tr
avel
times
-Red
uctio
n of tr
ansp
ortat
ion
costs
-Imp
rove
d acc
essib
ility t
o bas
icso
cial s
ervic
es-I
mpro
ved a
cces
sibilit
y to
dome
stic a
nd in
terna
tiona
lma
rkets
-Inc
reas
ed ec
onom
icop
portu
nities
for
hous
ehold
s-I
ncre
ased
trad
e flow
san
d opp
ortun
ities
-Inc
reas
ed tu
rnov
er fo
rbu
sines
ses
-260
,000 p
rojec
tbe
nefic
iaries
-Inc
reas
e in
bene
ficiar
ies’
incom
e/co
nsum
ption
-Soc
ial an
d Env
ironm
ental
Mi
tigati
on-S
ocial
and G
ende
r Inte
grati
on-
RAPs
imple
mente
d-
Socia
l and
gend
er ac
tivitie
s imp
lemen
ted
Rehabilitation of RN6
-Ré
habil
itatio
n of R
N6-
Cons
tructi
on of
Kold
a Brid
ge-
Cons
tructi
on-re
lated
temp
orar
y job
s cre
ated
-25
6 km
of ro
ads r
ehab
ilitate
d on R
N6
-Soc
ial an
d Env
ironm
ental
Mi
tigati
on-S
ocial
and G
ende
r Inte
grati
on-
-RA
Ps im
pleme
nted
-So
cial a
nd ge
nder
activ
ities i
mplem
ented
*Figu
res r
epor
ted in
this
prog
ram
logic
have
not b
een u
pdate
d to c
orre
spon
d to a
ny ne
w tar
gets
set in
the r
evise
d M&E
Plan
. Whil
e the
prog
ram
logic
rema
ins th
esam
e, the
figur
es m
ay
have
sligh
tly ch
ange
d.
Mill
enni
um C
halle
nge
Acco
unt S
eneg
al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
atio
n P
lan–
Rev
isio
n N
° 1
–Fi
nal V
ersi
on
26
6.3.
ANNE
X III:
ANAL
YSIS
OF
POST
-COM
PACT
MON
ITOR
ING
AND
EVAL
UATI
ON S
TAKE
HOLD
ERS
Key s
take
hold
ers
(key
play
ers)
Objec
tives
pur
sued
or i
nter
est i
n re
latio
n to
the C
ompa
ct M
onito
ring
-Ev
aluat
ion
(exp
ress
ed o
r not
)
Powe
r/cap
acity
(key s
treng
ths a
nd
weak
ness
es)i
n re
latio
n to
ME
Relat
iona
l pos
ition
(o
bjecti
ve)
Prop
osed
stra
tegi
es/ac
tions
(for t
hepo
st-Co
mpa
ct M
E)
1 Gov
ernm
ent o
f Se
nega
l
Monit
oring
and E
valua
tion o
f Com
pact
imple
menta
tion
Monit
oring
the c
ontrib
ution
to th
e figh
t ag
ainst
pove
rty an
d to o
ther p
lannin
g do
cume
nts or
stra
tegies
Comp
letion
of co
nstru
ction
and
maint
enan
ce of
stru
ctura
l infra
struc
ture
Capit
alizin
g on t
he pr
oces
s
Repr
esen
ted by
the S
uppo
rt Un
it or a
ny ot
her e
ntity
that w
ill be
desig
nated
by th
e Prim
e Mini
ster’s
Of
fice.
Decis
ion-m
aker
,rep
rese
nted b
y the
Sup
port
Unit o
r any
othe
r en
tity th
at wi
ll be d
esign
ated b
ythe
Prim
e Mini
ster’s
Offic
e.
•Obs
erve
:the d
irecti
ves,
polic
y ame
ndme
nts, s
trateg
ies, o
ther M
E me
chan
isms;
•Com
munic
ate:fo
rmal
(corre
spon
denc
es, b
riefin
g note
s, re
ports
) and
info
rmal
(resti
tution
of st
udies
, org
aniza
tion o
f miss
ions,
partic
ipatio
n in f
orum
s/wo
rksho
ps/se
mina
rs) on
indic
ators,
perfo
rman
ce, a
nalys
es of
MEP
;•S
atisfy
: all i
denti
fied a
nd ne
w inf
orma
tion n
eeds
;•C
ollab
orate
: dire
ct an
d for
mal c
ollab
orati
on
2 Mille
nniu
m
Chall
enge
Co
rpor
atio
n MC
C
Monit
oring
and e
valua
tion o
f Com
pact
Imple
menta
tion;
Monit
oring
Com
pact
perfo
rman
cethr
ough
the p
erfor
manc
e ind
icator
sre
ferre
d to i
n the
agre
emen
ts;Mo
nitor
ing th
e con
sisten
cy of
the p
ost-
Comp
act M
E&P
with
the di
recti
ves.
Estab
lishin
g the
ME
proc
edur
es;
Appr
oval
of the
post-
Comp
act M
onito
ring &
Evalu
ation
Plan
;En
surin
g com
plian
ce w
ith th
eME
P, th
e qua
lity an
d reli
abilit
y of
ME da
ta;Co
ntrol
and A
ppro
val o
f pos
t-Com
pact
MEP
Prod
ucts
Dono
rAp
prov
al of
prod
ucts
from
the
post-
Comp
actM
EPCo
mpac
teva
luatio
n
•Obs
erve
:the d
irecti
ves,
polic
y ame
ndme
nts an
d ins
tructi
ons r
elated
to th
e pos
t-Co
mpac
t MEP
and t
he pr
oduc
ts;•C
ommu
nicate
:form
al (co
rresp
onde
nces
, brie
fing n
otes,
repo
rts) a
nd in
form
al (re
stitut
ion of
stud
ies, o
rgan
izatio
n of m
ission
s, pa
rticipa
tion i
n for
ums /
works
hops
/ se
mina
rs) on
indic
ators,
perfo
rman
ce, a
nalys
es of
post-
Comp
act M
EP;
•Sati
sfy: a
ll ide
ntifie
d and
new
infor
matio
n nee
ds;
•Coll
abor
ate: d
irect,
form
al an
d info
rmal
colla
bora
tion.
3MCA
-Sen
egal
Supp
ort U
nit o
r any
en
tity de
signa
ted by
the
Prim
e Mini
ster’s
Of
fice.
Monit
oring
and E
valua
tion o
f Com
pact
imple
menta
tion
Coor
dinati
on of
post-
Comp
acta
ctivit
ies
Suivi
et E
valua
tion d
e la p
artic
ipatio
n des
pa
rtena
ires d
'exéc
ution
(SAE
D et
AGER
OUTE
)
Cons
ultati
on in
post-
Comp
act M
EP im
pleme
ntatio
n an
d dev
elopm
ent
Supp
ort a
nd ad
vice f
or im
pleme
ntatio
n and
fun
ction
ing of
the p
ost-C
ompa
ct ME
P Int
erme
diatio
n with
othe
r M&E
mec
hanis
ms am
ong
deve
lopme
nt pa
rtner
s
Supp
ort a
nd ad
vice f
or
imple
menta
tion a
nd fu
nctio
ning
of the
post-
Comp
act M
EP.
•Obs
erve
: the
comm
ents
and p
ropo
sals
for im
prov
ing th
e pos
t-Com
pact
MEP
and
prod
ucts;
•Com
munic
ate: f
orma
l (cor
resp
onde
nces
, brie
fing n
otes,
repo
rts) a
nd in
form
al (re
stitut
ion of
stud
ies, o
rgan
izatio
n of m
ission
s, pa
rticipa
tion i
n for
ums/w
orks
hops
/semi
nars)
on po
st-Co
mpac
t MEP
indic
ators,
perfo
rman
ce,
analy
ses;
•Sati
sfy:a
ll ide
ntifie
d and
new
infor
matio
n nee
ds;
•Coll
abor
ate: d
irect,
form
al an
d info
rmal
colla
bora
tion.
4Dire
ct
bene
ficiar
ies(H
ouse
hold
sand
Entre
prise
s in
the
inte
rven
tion
zone
)
Obtai
ning i
nform
ation
on po
st-Co
mpac
t ac
tivitie
s.Pr
ovidi
ng in
forma
tion a
nd da
ta on
their
asse
ssme
nt of
activ
ities b
eing i
mplem
ented
Identi
ficati
on of
cons
traint
s
Prod
uct b
enefi
ciarie
s (in
forma
tion o
n pos
t-Com
pact
MEP)
.Obs
erve
:the
ir int
eres
ts in
the da
ta pr
ovide
d (for
mat o
r typ
e of m
edium
use
d);
.Com
munic
ate: f
orma
l and
infor
mal (r
estitu
tion,
orga
nizati
on of
mee
tings
, pa
rticipa
tion i
n acti
vities
) on
post-
Comp
act M
EP in
dicato
rs, pe
rform
ance
, and
an
alyse
s;.S
atisfy
:all i
denti
fied a
nd ne
w inf
orma
tion n
eeds
;.C
ollab
orate
:ind
irect,
form
al(th
roug
h mea
ns of
comm
unica
tion)
and i
nform
al (p
erso
nal c
ommu
nicati
on) c
ollab
orati
on.
Mill
enni
um C
halle
nge
Acco
unt S
eneg
al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
atio
n P
lan–
Rev
isio
n N
° 1
–Fi
nal V
ersi
on
27
Key s
take
hold
ers
(key
play
ers)
Objec
tives
pur
sued
or i
nter
est i
n re
latio
n to
the C
ompa
ct M
onito
ring
-Ev
aluat
ion
(exp
ress
ed o
r not
)
Powe
r/cap
acity
(key s
treng
ths a
nd
weak
ness
es)i
n re
latio
n to
ME
Relat
iona
l pos
ition
(o
bjecti
ve)
Prop
osed
stra
tegi
es/ac
tions
(for t
hepo
st-Co
mpa
ct M
E)
5Im
plem
entin
gpa
rtner
s(SA
ED an
dAG
EROU
TE)
Monit
oring
and E
valua
tion o
f Com
pact
imple
menta
tion
Comp
letion
of co
nstru
ction
and
maint
enan
ce of
infra
struc
ture
Prov
iding
prim
ary a
nd se
cond
ary d
ata to
the p
ost-
Comp
act M
EP;
Prov
ision
of se
cond
ary d
ata to
the p
ost-C
ompa
ct ME
P;Inf
ormi
ng th
e ITT
on a
timely
basis
.
Inter
vene
s (pr
ovisi
on of
inf
orma
tion)
in th
e data
co
llecti
on pr
oces
sPr
ovisi
on of
data
and
infor
matio
n (int
erna
l M&E
sy
stems
)
•Obs
erve
:the d
irecti
ves,
polic
y ame
ndme
nts an
d ins
tructi
ons r
elated
to th
e pos
t-Co
mpac
t MEP
and t
he pr
oduc
ts;•C
ommu
nicate
:for
mal (c
orre
spon
denc
es, b
riefin
g note
s, re
ports
) and
info
rmal
(resti
tution
of st
udies
, org
aniza
tion o
f miss
ions,
partic
ipatio
n in
forum
s/wor
ksho
ps/se
mina
rs) on
post-
Comp
act M
EP in
dicato
rs, pe
rform
ance
, and
an
alyse
s; .S
atisfy
:all i
denti
fied a
nd ne
w inf
orma
tion n
eeds
; if th
ey do
not e
ntail a
dditio
nal
costs
;.C
ollab
orate
:dire
ct, fo
rmal
and i
nform
al co
llabo
ratio
n amo
ng M
EP m
echa
nisms
; ide
ntify
princ
ipal a
reas
for c
onve
rgen
ce an
d syn
ergy
.
6Oth
erpa
rtner
s(A
NSD,
DEE
C,Di
rect
ion
des
Rout
es, D
APSA
, et
c.)
Exch
ange
of da
ta an
d sha
ring i
nform
ation
on
post-
Comp
act a
ctivit
ies.
Prov
ision
of se
cond
ary d
ata fo
r the
post-
Comp
act
MEP.
Post-
Comp
act im
pleme
ntatio
n pa
rtner
s.•O
bser
ve: th
eir re
quire
ments
on M
E da
ta qu
ality;
the o
bser
vatio
ns an
d pro
posa
ls for
im
prov
emen
t ofp
ost-C
ompa
ct ME
P an
d pro
ducts
;•C
ommu
nicate
: form
al (co
rresp
onde
nces
, brie
fing n
otes,
repo
rts) a
nd in
form
al (re
stitut
ion of
stud
ies, o
rgan
izatio
n of m
ission
s, pa
rticipa
tion i
n for
ums
/wor
ksho
ps/se
mina
rs) on
post-
Comp
act M
EP in
dicato
rs, pe
rform
ance
, ana
lyses
;•S
atisfy
: all i
denti
fied a
nd ne
w inf
orma
tion n
eeds
;•C
ollab
orate
: dire
ct, fo
rmal
and i
nform
al co
llabo
ratio
n, thr
ough
a co
oper
ation
ag
reem
ent.
7Med
ia
Obtai
ningi
nform
ation
s onp
ost-C
ompa
ctac
tivitie
s and
leve
l of p
erfor
manc
e.Po
wer o
finflu
ence
, par
tner in
the
disse
mina
tion o
f infor
matio
n on
the im
pleme
ntatio
n of th
e Com
pact
Prov
iding
infor
matio
n and
data
base
d on t
heir
asse
ssme
nt of
imple
mente
d acti
vities
.
Powe
r of in
fluen
ce
Bene
ficiar
ies of
pos
t-Com
pact
MEP
prod
ucts
(infor
matio
n)
•Obs
erve
:their
inter
ests
in the
data
prov
ided (
forma
t or t
ype o
f med
ium u
sed)
, use
of
data
and t
he pu
blica
tions
of ar
ticles
on th
e acti
vities
;•C
ommu
nicate
:form
al (w
orks
hops
, org
aniza
tion o
f visi
ts, pr
ovidi
ng po
st-Co
mpac
t ME
P pr
oduc
ts, w
orks
hops
to pr
esen
t res
ults)
on M
EP in
dicato
rs, pe
rform
ance
s, an
alyse
s;•S
atisfy
: all i
denti
fied a
nd ne
w inf
orma
tion n
eeds
;•C
ollab
orate
: dire
ct an
d for
mal c
ollab
orati
on.
8Gen
eral
Publ
icOb
tainin
g info
rmati
ons o
n pos
t-Com
pact
activ
ities a
nd le
vel o
f per
forma
nce.
Prov
ision
of in
forma
tions
and d
ata ba
sed o
n the
ir as
sess
ment
of ac
tivitie
s imp
lemen
ted.
Identi
ficati
on of
cons
traint
s.
Bene
ficiar
ies of
pos
t-Com
pact
MEP
prod
ucts
(infor
matio
n)•O
bser
ve:th
eir in
teres
ts in
the da
ta pr
ovide
d (for
mat o
r typ
e of m
edium
use
d);
•Com
munic
ate: fo
rmall
y thr
ough
the P
ress
, MEP
and w
ebsit
epro
ducti
ons;
•Sati
sfy:a
ll info
rmati
onne
ed.
Mill
enni
um C
halle
nge
Acco
unt S
eneg
al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
atio
n P
lan–
Rev
isio
n N
° 1
–Fi
nal V
ersi
on
28
6.4.
ANNE
X V:
PERF
ORMA
NCE
INDI
CATO
R TA
RGET
S
Indi
cato
rUn
itsIn
dica
tor
Clas
sifica
tion
Type
Base
line
Base
line
year
Year
1Ye
ar 2
Year
3Ye
ar 4
Year
5Lo
ng T
erm
Oct.
2010
-Se
pt. 2
011
Oct.
2011
-Se
pt. 2
012
Oct.
2012
-Se
pt. 2
013
Oct.
2013
-Se
pt. 2
014
Oct.
2014
-Se
pt. 2
015
PROG
RAM
Pind
icator
1: R
ate of
varia
tion o
f ben
eficia
ries’
net in
come
draw
n fro
m the
Irrig
ation
Pro
ject
Perce
ntage
Leve
l0
2011
-12
035
P ind
icator
2:Ch
ange
in ve
hicle
oper
ating
co
sts pe
r trip
/kilom
eter f
or th
e RN2
US$
Leve
l0
2010
0.05
N/A
Pind
icator
3:Ch
ange
in ve
hicle
oper
ating
co
sts pe
r trip
/kilom
eter f
or th
e RN6
US$
Leve
l0
2010
0.16
N/A
IRRI
GATI
ON A
ND W
ATER
RES
OURC
ES M
ANAG
EMEN
T PR
OJEC
TIW
RM in
dicato
r 1: R
ice P
addy
Pro
ducti
on
(Delt
a / N
galen
ka)
Tons
Leve
l10
2,000
2010
-11
102,0
0010
7,000
107,0
0010
7,000
111,0
0027
7 000
IWRM
indic
ator 2
: Tom
ato pr
oduc
tion
(Delt
a and
Nga
lenka
) To
nsLe
vel
12,70
0 20
10-1
112
,700
14,20
014
,200
14,20
035
,500
115 0
00
IWRM
indic
ator 3
: Onio
n pro
ducti
on
(Delt
a and
Nga
lenka
)To
nsLe
vel
10,90
020
10-1
110
,900
16,00
016
,000
16,00
040
,000
130 0
00
IWRM
indic
ator 4
: Cro
pping
inten
sity (
Delta
)Pe
rcenta
geLe
vel
60%
2011
-12
60%
60%
60%
60%
70%
150%
IWRM
indic
ator 5
: Cro
pping
inten
sity
(Nga
lenka
)Pe
rcenta
geLe
vel
20%
2010
-11
20%
20%
0%10
0%12
0%18
0%
IWRM
indic
ator6
: Tota
l are
a with
impr
oved
irr
igatio
n infr
astru
cture
(Delt
a and
Nga
lenka
)Ha
Leve
l34
,848
2010
-11
34,84
836
,541
37,55
438
,381
38,38
142
721
IWRM
indic
ator 7
: Hec
tares
unde
r pro
ducti
on
acro
ss cr
oppin
g sea
sons
Ha
Leve
l21
,400
2010
-11
20,30
020
,300
20,30
020
,300
23,60
056
600
IWRM
indic
ator 8
:Tota
l flow
mea
sure
d (Q)
at
the R
onkh
and G
wor
ksRa
teLe
vel
2020
11-1
220
2020
2065
N/A
IWRM
indic
ator 9
:Num
ber o
f hec
tares
for
maliz
ed (h
aving
a lan
d allo
catio
n title
and
regis
tered
)Ha
Cumu
lative
020
10-1
10
00
748
3 ,44
0N/
A
IWRM
indic
ator1
0: Pe
rcenta
ge of
land
dis
putes
reso
lved
Perce
ntage
Leve
l(C
umula
tive)
020
10-1
10
00
3050
50
IWRM
indic
ator1
1: Co
nflict
s suc
cess
fully
media
tedNu
mber
Cumu
lative
020
11-1
20
0N/
AN/
AN/
A
IWRM
indic
ator1
2.: P
arce
ls co
rrecte
d or
incor
pora
ted in
land
syste
mPa
rcels
Cumu
lative
020
11-1
20
5,694
5,787
5,787
N/A
IWRM
indic
ator1
3: La
nd rig
hts fo
rmali
zed
12Nu
mber
Cumu
lative
020
11-1
20
060
02,5
0025
00
12Th
is ind
icator
refer
s to h
ouse
holds
, bus
iness
es an
d leg
al en
tities
holdi
ng fo
rmali
zed l
and r
ights
Mill
enni
um C
halle
nge
Acco
unt S
eneg
al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
atio
n P
lan–
Rev
isio
n N
° 1
–Fi
nal V
ersi
on
29
Indi
cato
rUn
itsIn
dica
tor
Clas
sifica
tion
Type
Base
line
Base
line
year
Year
1Ye
ar 2
Year
3Ye
ar 4
Year
5Lo
ng T
erm
Oct.
2010
-Se
pt. 2
011
Oct.
2011
-Se
pt. 2
012
Oct.
2012
-Se
pt. 2
013
Oct.
2013
-Se
pt. 2
014
Oct.
2014
-Se
pt. 2
015
IWRM
indic
ator1
4: Nu
mber
of la
nd
mana
geme
nt co
mmitte
es an
d com
miss
ions
set u
p or im
prov
ed up
onNu
mber
Cumu
lative
020
10-1
19
99
99
N/A
Indica
tor IW
RM.15
.:To
tal le
ngth
of ma
in dr
ainag
e can
als an
d outf
alls s
ervic
ed (r
aked
an
d/or c
leane
d out)
annu
ally
Kilom
eters
Leve
l11
620
15N/
AN/
AN/
AN/
AN/
AN/
A
Indica
tor IW
RM.16
.:Nu
mber
of pu
mps
servi
ced a
nnua
llyNu
mber
Leve
l11
520
15N/
AN/
AN/
AN/
AN/
AN/
A
ROAD
S RE
HABI
LITA
TION
PRO
JECT
RRP
Indica
tor 1:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) R
ichar
d-To
ll –Nd
ioum
Numb
erLe
vel
1,029
2011
-12
1,029
1,155
N/A
RRP
Indica
tor 2:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) Z
iguinc
hor –
Tana
ffNu
mber
Leve
l57
120
0757
196
3N/
A
RRP
Indica
tor 3:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) T
anaff
–Ko
ldaNu
mber
Leve
l30
120
0730
156
2N/
A
RRP
Indica
tor 4:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) K
olda –
Koun
kané
Numb
erLe
vel
798
2007
798
1,426
N/A
RRP
Indica
tor 5:
Rate
of ch
ange
in th
e du
ratio
n of tr
avel
time o
n RN#
2Pe
rcenta
geLe
vel
020
11-1
20
-15
-15
RRP
Indica
tor 6:
Rate
of ch
ange
in th
e du
ratio
n of tr
avel
time o
n RN#
6Pe
rcenta
geLe
vel
020
11-1
20
-50
-50
RRP
Indica
tor 7:
Rou
ghne
ss (R
N2)
m/km
Leve
l3.2
2011
-12
3.22.4
N/A
Indica
teur R
RP.8.
: Rou
ghne
ss (R
N6)
m/km
Leve
l13
.020
11-1
213
.02.5
N/A
RRP
Indica
tor.9.
: Roa
d tra
ffic fa
talitie
sNu
mber
Leve
l43
2013
-14
N/A
N/A
N/A
RRP
Indica
tor 10
: Kilo
meter
s of r
oads
re
habil
itated
on R
N#6
KmCu
mulat
ive0
2010
-11
00
00
252
N/A
RRP
Indica
tor 11
: Kilo
meter
s of r
oads
co
mplet
edKm
Cumu
lative
020
10-1
10
012
234
372
N/A
Indica
tor R
RP.12
. : Pe
rcenta
ge of
the r
equir
ed
annu
al bu
dget
mobil
ized f
orro
ad ne
twor
k ma
inten
ance
Perce
ntage
Leve
lUn
avail
able
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.13
. : Pe
rcenta
ge of
pave
d ro
ads m
aintai
ned
Perce
ntage
Leve
lUn
avail
able
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.14
. : Th
e visu
al sta
te of
the
road
netw
ork
Perce
ntage
Leve
l71
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.15
. : De
flecti
ons
Numb
erLe
vel
RN2
7020
15N/
AN/
AN/
AN/
AN/
AN/
ARN
6 Lo
t1N/
A
RN6
Lot2
68
RN6
Lot3
73
Mill
enni
um C
halle
nge
Acco
unt S
eneg
al (M
CA
-Sen
egal
)
Mon
itorin
g an
d E
valu
atio
n P
lan–
Rev
isio
n N
° 1
–Fi
nal V
ersi
on
30
Indi
cato
rUn
itsIn
dica
tor
Clas
sifica
tion
Type
Base
line
Base
line
year
Year
1Ye
ar 2
Year
3Ye
ar 4
Year
5Lo
ng T
erm
Oct.
2010
-Se
pt. 2
011
Oct.
2011
-Se
pt. 2
012
Oct.
2012
-Se
pt. 2
013
Oct.
2013
-Se
pt. 2
014
Oct.
2014
-Se
pt. 2
015
Indica
tor R
RP.16
. : Nu
mber
of fu
nctio
nal
gard
en pl
otsNu
mber
Leve
l0
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.17
. : Nu
mber
of bo
rrow
pits
reha
bilita
tedNu
mber
Leve
l0
2015
N/A
N/A
N/A
N/A
N/A
N/A
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 31
6.5. ANNEX VIII: ANNUAL REPORTING FRAMEWORK
6.5.1. Annual Status Report Outline
LETTER HEAD INCLUDING THE NAME OF THE DIRECTORATE OF ORIGININTRODUCTION
o Review of SAED, AGEROUTE annual objectives)STATUS OF IMPLEMENTATION OF ANNUAL WORK PLAN
Product or Result N°….. : "Entitled ……………………" o Annual review and analysiso Summary of planned activities (qualitative objectives :o Accomplishments during the year by activity and task:o Title of activity :
AccomplishmentsPerformance analysisSpecific problems encountered
o Title of activity :AccomplishmentsPerformance analysisSpecific problems encountered
Table: Level of achievement of Product/Outcome performance indicators ….. during the post-Compact year ……..
Product/Outcome XX.: "Entitled"
Indicators Targets AccomplishmentEfficiency rate
Comments/justification of variance
Product/Outcome indicatorsCode as per logical framework and Activity title Indicators Targets Accomplishment Efficiency
rateAXX1. ……………… Indicators …. ….AXX2. ……………. Indicators …. ….AXX3. …………….. Indicators …. ….
Indicators …. ….o Lessons learnedo Analysis of key constraints experienced and lessons learned from implementing the product/outcome.
PROBLEMS ENCOUNTERED AND SOLUTIONS PROPOSED
PROSPECTS o Focus areas of intervention for SAED and AGEROUTE during the next year
ANNEXESo Summary table on activity performance level during the yearo Table on annual progress against Post-Compact objectiveso Etc.
Millennium Challenge Account Senegal (MCA-Senegal)
Monitoring and Evaluation Plan– Revision N° 1 – Final Version 32
6.6. ANNEX IX: FOCAL POINTS OF POST COMPACT MONITORING AND EVALUATION
First & last names
Responsibility ImplementingOrganization
Locality Telephone E-mail
Amadou NIANG M&E Focal Point SAED St-Louis 77 511 22 72 [email protected] NDAO
M&E Focal Point AGEROUTE Dakar 77 333 89 16 [email protected]
Ousmane FAYE HDM-4 Focal Point AGEROUTE Dakar 77 740 13 31 [email protected] BASEI HDM-4 Assistant
Focal PointAGEROUTE 77 332 49 20 [email protected]
Mamadou Assane NIANG
M&E Focal Point USAC Dakar 77 333 07 96 [email protected]
MILLENNIUM CHALLENGE ACCOUNT SÉNÉGAL (MCA-SENEGAL)
Post-CompactMonitoring and Evaluation Plan
Memorandum Post-Compact MEP/2015
With the support of the:
N° Version : N° 1Date : Date d’approbation par le Conseil de Surveillance :Date d’approbation par MCC :
Millennium Challenge Account Sénégal (MCA-Sénégal)
Memorandum to the Monitoring and Evaluation Plan– Version N° 03 – Sept, 20151
TABLE OF CONTENTS
ACRONYMS............................................................................................................................................................. 1
DOCUMENTATION ................................................................................................................................................... 1
1. PERFORMANCE INDICATORS AND COMPACT TARGETS .................................................................................. 3
1.1. INDICATOR P.1. RATE OF VARIATION OF BENEFICIARIES’ NET INCOME DRAWN FROM THE IRRIGATION PROJECT .................. 4 1.2. INDICATOR P.2. CHANGE IN VEHICLE OPERATING COSTS PER TRIP/KILOMETER FOR THE RN2 ......................................... 8 1.3. INDICATOR P.3. CHANGE IN VEHICLE OPERATING COSTS PER TRIP/KILOMETER FOR THE RN6 ....................................... 11
2. PERFORMANCE INDICATORS AND TARGETS OF THE IRRIGATION PROJECT .................................................. 14
2.1. INDICATOR IWRM.1. RICE PADDY PRODUCTION (DELTA / NGALENKA)..................................................................... 15 2.2. INDICATOR IWRM.2. TOMATO PRODUCTION (DELTA / NGALENKA) .......................................................................... 18 2.3. INDICATOR IWRM.3. ONION PRODUCTION (DELTA / NGALENKA) ............................................................................. 22 2.4. INDICATOR IWRM.4. CROPPING INTENSITY (DELTA) ............................................................................................ 25 2.5. INDICATOR IWRM.5. CROPPING INTENSITY (NGALENKA) ...................................................................................... 29 2.6. INDICATOR IWRM.6. TOTAL AREA WITH IMPROVED IRRIGATION INFRASTRUCTURE (DELTA AND NGALENKA) .................... 33 2.7. INDICATOR IWRM. 7. HECTARES UNDER PRODUCTION ACROSS CROPPING SEASONS (DELTA / NGALENKA) ..................... 36 2.8. INDICATOR IWRM.8: TOTAL FLOW MEASURED (Q) AT THE RONKH AND G WORKS ...................................................... 40 2.9. INDICATOR IWRM.9. NUMBER OF HECTARES FORMALIZED (HAVING A LAND ALLOCATION TITLE AND REGISTERED) ............ 44 2.10. INDICATOR IWRM.10. PERCENTAGE OF LAND DISPUTES RESOLVED ........................................................................ 48 2.11. INDICATOR IWRM.11. CONFLICTS SUCCESSFULLY MEDIATED ................................................................................ 52 2.12. INDICATOR IWRM.12. PARCELS CORRECTED OR INCORPORATED IN LAND SYSTEM .................................................... 55 2.13. INDICATOR IWRM.13. LAND RIGHTS FORMALIZED................................................................................................ 58 2.14. INDICATOR IWRM.14. NUMBER OF LAND MANAGEMENT COMMITTEES AND COMMISSIONS SET UP OR IMPROVED UPON ...... 61 2.15. INDICATEUR IWRM.15. TOTAL LENGTH OF MAIN DRAINAGE CANALS AND OUTFALLS SERVICED (RAKED AND/OR CLEANED OUT)
ANNUALY .................................................................................................................................................... 64 2.16. INDICATEUR IWRM.16. NUMBER OF PUMPING EQUIPMENT SERVICED ANNUALLY ........................................................ 68
3. PERFORMANCE INDICATORS AND TARGETS OF THE ROADS REHABILITATION PROJECT .............................. 72
3.1. INDICATOR RRP.1. AVERAGE ANNUAL DAILY TRAFFIC (AADT) RICHARD-TOLL – NDIOUM ............................................ 73 3.2. INDICATOR RRP.2. AVERAGE ANNUAL DAILY TRAFFIC (AADT) ZIGUINCHOR – TANAFF ................................................ 76 3.3. INDICATOR RRP.3. AVERAGE ANNUAL DAILY TRAFFIC (AADT) TANAFF - KOLDA ........................................................ 81 3.4. INDICATOR RRP.4. AVERAGE ANNUAL DAILY TRAFFIC (AADT) KOLDA-KOUNKANÉ ..................................................... 85 3.5. INDICATOR RRP.5 RATE OF CHANGE IN THE DURATION OF TRAVEL TIME ON RN#2 ..................................................... 88 3.6. INDICATOR RRP.6. RATE OF CHANGE IN THE DURATION OF TRAVEL TIME ON THE RN#6 .............................................. 92 3.7. INDICATOR RRP.7.ROUGHNESS (RN2) ............................................................................................................. 96 3.8. INDICATOR RRP.8.ROUGHNESS (RN6) ........................................................................................................... 100 3.9. INDICATOR RRP.9. ROAD TRAFFIC FATALITIES ................................................................................................. 103 3.10. INDICATOR RRP.10. KILOMETERS OF REHABILITATED ROADS ON RN#6 ................................................................. 106 3.11. INDICATOR RRP.11. KILOMETERS OF ROADS COMPLETED ................................................................................... 110 3.12. INDICATEUR RRP.12. BUDGET ALLOCATED ANNUALLY TO ROAD NETWORK SERVICING .............................................. 113 3.13. INDICATEUR RRP.13. PERCENTAGE OF PAVED ROADS MAINTAINED IN GOOD AND AVERAGE CONDITION ...................... 116
4. TARGET VALUES OF MCA-SENEGAL’S PERFORMANCE INDICATORS ........................................................... 133
ACRONYMS
IWRM: Irrigation and Water Resources Management NA: Not ApplicableRRP: Roads Rehabilitation ProjectTBD: To Be Determined
DOCUMENTATION
Guidance on Common Indicator, May 2012, MCCLettre SAED N° 1959-12 du 12-12-2012
Millennium Challenge Account Sénégal (MCA-Sénégal)
Memorandum to the Monitoring and Evaluation Plan– Version N° 03 – Sept, 20152
Méthode d'estimation des carrés de rendement du RizMéthode d'estimation des rendements des cultures de diversificationPlan de Travail du Projet Réhabilitation RoutesPlan de travail du Projet IWRMRapport à mi-parcours de la CNCE et Enquêtes O/D AGEROUTE, Janvier 2013Rapport d'Orientation Méthodologique de l'Enquête de référenceRapport mesure de débit du 12 Mars 2012" SAED, mars 2012)Rapport Plan d’Action de Réinstallation de Ngalenka Rapport PAR Ngalenka (Direction ESA). Rapport Technique d'orientation Version Finale de la CNCE de l'AGEROUTE, avril 2012Résultats d’enquête Trafic et Origine – Destination – AGEROUTE, Sept. 2012 :RN2 Model, MCCStatistiques de Campagne 2011 de la SAEDTD-37 – ERR Indicators – IRI data collection, traffic counts and calculation of VOC and TTC with sensitivity analysis Principe de calcul de l’IRI, AGEROUTE, 2012
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
3
1.Pe
rform
ance
Indi
cato
rs an
d Co
mpa
ct T
arge
ts
PERF
ORMA
NCE
INDI
CATO
RS
AT T
HE C
OMPA
CT G
OAL
LEVE
L
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
4
1.1.
Indi
cato
r P.1.
Rat
e of v
ariat
ion
of b
enef
iciar
ies’ n
et in
com
e dra
wn fr
om th
e Irri
gatio
n Pr
ojec
t
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eRa
tes of
varia
tion o
f ben
eficia
ries’
net in
come
draw
n fro
m the
Irrig
ation
Pro
ject
Vers
ion
N° 03
/ Sep
t201
5Co
mm
on In
dica
tor
Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rP.
1.Al
l Pre
vious
Indi
cato
r Num
bers
P.1.
Leve
lGo
alCl
assif
icatio
nLe
vel
Unit
of M
easu
rePe
rcenta
geDe
taile
d De
finiti
onVa
riatio
n of b
enefi
ciarie
s’ ne
t inco
me, in
real
terms
(acc
ordin
g to g
ende
r), dr
awn f
rom
theIrr
igatio
n Pro
ject.
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
n
By ge
nder
(YES
/NO)
YES
By ag
e (YE
S/NO
)NO
By
inco
me (Y
ES/N
O)YE
S (Q
uintile
1 (<
1.25 $
/d), Q
uintile
2 (<
2 $/d)
, Quin
tile 3
(betw
een 2
and 3
$/d),
Quint
ile 4
(>4 $
/d))
By lo
cality
(YES
/NO)
NO
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
Just
ifica
tion
for I
nclu
ding
In
dica
tor
The g
oal o
f the M
CA-S
eneg
al Co
mpac
t is to
help
redu
ce po
verty
in S
eneg
al thr
ough
econ
omic
grow
th by
impr
oving
agric
ultur
al pr
oduc
tivity
and a
cces
s to m
arke
ts an
d se
rvice
s tha
nks t
o inv
estm
ents
in de
velop
menta
l infra
struc
ture i
n the
road
s and
irriga
tion s
ector
s. Th
us, in
the I
WRM
proje
ctar
ea, th
is ob
jectiv
e will
be as
sess
ed by
the
varia
tion i
n the
bene
ficiar
ies’ in
come
. Indic
ator P
.1 wi
ll the
refor
e pro
vide e
lemen
ts of
resp
onse
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rega
rd to
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ariat
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opula
tions
’ inco
me an
d the
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e of th
is va
riatio
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s will
help
asse
rt or
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hethe
r the
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ram
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ibuted
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or no
t.
How
does
the i
ndica
tor
link t
o th
e ERR
?Th
e inc
ome d
rawn
from
irriga
tioni
s high
ly co
rrelat
ed w
ith th
e pro
ducti
on an
d mar
ketin
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rodu
cts of
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rriga
ted ar
eas.
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ctors
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prod
uctio
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d, pr
imar
ily th
e "W
ater"
and "
Land
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pital"
facto
rs, th
e pro
gram
contr
ibutes
to la
nd te
nure
secu
rity an
d inc
ome i
ncre
ase.
Addit
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y, an
y inc
reas
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ncom
e dr
awn f
rom
irriga
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ill he
lp im
prov
e the
econ
omic
viabil
ity of
the p
rogr
am’s
activ
ities.
How
does
the i
ndica
tor
link t
o th
e BA?
The i
ncre
ase i
n inc
omed
rawn
from
irriga
tion w
ill ste
p up t
he pu
rchas
ing po
wer o
f the b
enefi
ciary
popu
lation
s and
will
also i
mpac
t on t
he ot
her a
ctivit
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strea
m or
do
wnstr
eam
of the
agric
ultur
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oduc
tion.
How
does
the i
ndica
tor
link t
o th
e im
pact
ev
aluat
ion?
The p
rojec
tis an
ticipa
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ase t
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ctare
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er pr
oduc
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nd cr
oppin
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nsity
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ctors
are e
xpec
ted to
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o ani
ncre
ase i
n inc
ome d
rawn
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ill be
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he ev
aluati
on.T
o mea
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mpac
t of th
e pro
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n inc
ome,
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aluati
on w
ill inc
lude m
easu
reme
ntin
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nzon
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rogr
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ot be
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pleme
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ompa
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itial a
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al sit
uatio
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wo gr
oups
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esen
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rogr
am’s
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ibutio
n to
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e var
iation
.
Just
ifica
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icator
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orde
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ote th
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iffere
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ll be d
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reak
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igure
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hrou
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halle
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égal
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CA
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Mem
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onito
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and
Eva
luat
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n–V
ersi
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ept,
2015
5
Deta
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riptio
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lectio
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etho
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cludin
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icultu
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ntifie
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heIrr
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ne.
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ssag
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If su
rvey
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a, ve
rbat
im q
uest
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s) p
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Refer
toQu
estio
nnair
e Irri
gatio
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seho
ld:-S
ectio
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prod
uctio
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-S
ectio
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ketin
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Deta
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se fo
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vey a
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e foll
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p sur
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uenc
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tim
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ata a
cqui
sitio
nTw
ice: a
t the s
tart a
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ter pr
oject
comp
letion
Nam
es o
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ifica
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ces
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erifi
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ort a
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ses
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ort a
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ses
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t table
draw
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seLo
catio
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Dat
a Sto
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USAC
-Sen
egal
INDI
CATO
R DA
TA Q
UALI
TYDa
te o
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a Qua
lity R
eview
Nove
mber
2014
Main
find
ings
of d
ata q
ualit
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iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
3,4N/
A
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,7
N/A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and
frequ
ently
colle
cted?
3,2N/
A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
6
4. PR
ECIS
ION
–Doe
s the
data
have
an
acce
ptable
mar
gin of
erro
r?3,6
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indic
ators
fully
portr
ay th
e res
ults?
4,0Th
e gro
wth r
ate of
agric
ultur
al inc
ome w
ould
meas
ure t
he im
pact
of the
proje
ct mo
re ac
cura
tely.
Othe
rwise
, at th
e lev
el of
the
hous
ehold
, con
sume
r spe
nding
wou
ld be
mor
e app
ropr
iate.
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,7
N/A
Over
all as
sess
men
t 3,7
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Apa
rt fro
m the
agric
ultur
al inc
ome,
the su
rvey g
ather
ed da
ta on
the c
onsu
mptio
n and
asse
ts of
hous
ehold
sKn
own
data
limita
tions
and
signi
fican
ceNo
t App
licab
leAc
tions
take
n to
addr
ess d
ata l
imita
tions
Not A
pplic
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INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
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ear
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urce
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ld B
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ses o
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r 20
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012
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fNew
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Base
s of b
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Just
ifica
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hang
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nitial
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1 was
delay
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e ter
mina
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ontra
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nsult
ant. T
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as en
truste
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throu
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Imple
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ng E
ntity
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Sep
tembe
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e sur
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theD
ecem
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011 –
Nove
mbe
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2per
iod, i.
e. pr
ior to
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works
phas
eIN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
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AR 1
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Just
ifica
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hang
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)Th
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ecem
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011 –
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mber
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orks
phas
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t.201
0 -Se
pt. 20
11N/
AN/
AEx
plan
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mpt
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ts to
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lculat
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2Ol
dNe
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stifi
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The b
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ecem
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011 –
Nove
mber
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. Prio
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he
works
phas
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us, th
e Yea
r 2 fig
ure f
or O
ct 20
11-S
ept 2
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s fixe
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ould
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Oct 2
011 -
Sept.
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0%0%
Expl
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d in
puts
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AR 3
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ifica
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t 201
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pt. 20
13N/
AN/
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mpt
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4Ol
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Oct 2
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Sept.
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N/A
N/A
Mille
nniu
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halle
nge
Acc
ount
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égal
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CA
-Sén
égal
)
Mem
oran
dum
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e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
7
Expl
anat
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sum
ptio
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puts
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rget
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nsYE
AR 5
Old
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ifica
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hang
es to
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rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
4 -Se
pt. 20
15N/
AN/
AEx
plan
atio
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mpt
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ts to
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Long
Ter
m T
arge
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ulat
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35%
Expl
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ptio
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d in
puts
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e 35%
targ
et for
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comp
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hang
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COMM
ENTS
: SU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)Re
port
on M
ethod
ologic
al Or
ientat
ion of
the b
aseli
ne su
rvey
Mille
nniu
m C
halle
nge
Acc
ount
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égal
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CA
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égal
)
Mem
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onito
ring
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Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
8
1.2.
Indi
cato
r P.2.
Cha
nge i
n ve
hicle
ope
ratin
g co
sts p
er tr
ip/ki
lom
eter
for t
he R
N2
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eCh
ange
in ve
hicle
oper
ating
costs
per t
rip/ki
lomete
r for
theR
N2Ve
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rP.
2.Al
l Pre
vious
Indi
cato
r Num
bers
P.2
Leve
lGo
alCl
assif
icatio
nLe
vel
Unit
of M
easu
reUS
$
Deta
iled
Defin
ition
Calcu
lated
using
the H
DM-4
mod
el, th
e cha
nge i
n veh
icle o
pera
ting c
osts
will b
e calc
ulated
and t
hen a
vera
ged a
cross
vehic
le trip
s on t
he ro
ad as
well
as by
the
numb
er of
kilom
eters
to ar
rive a
t an a
vera
ge ch
ange
in ve
hicle
oper
ating
costs
per t
rip/ki
lomete
rFr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
POST
COM
PACT
Disa
ggre
gatio
n
By ge
nder
(YES
/NO)
NO
By ag
e (YE
S/NO
)NO
By
inco
me (Y
ES/N
O)NO
By
loca
lity(Y
ES/N
O)NO
IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e goa
l of th
e MCA
-Sen
egal
Comp
act is
to he
lp re
duce
pove
rty in
Sen
egal
throu
gh ec
onom
ic gr
owth
by im
prov
ing ag
ricult
ural
prod
uctiv
ity an
d ac
cess
to m
arke
ts an
d ser
vices
than
ks to
inve
stmen
ts in
deve
lopme
ntal in
frastr
uctur
e in t
he ro
ad an
d irri
gatio
n sec
tors.
Thus
, in th
e RRP
proje
ct ar
ea, th
is go
al wi
ll be a
sses
sed b
y the
rate
of va
riatio
n in t
he in
come
s of
hous
ehold
s. Th
e P2 i
ndica
tor w
ill the
refor
e pro
vide s
ome
answ
ers a
s to t
he ch
ange
in ve
hicle
oper
ating
costs
on th
e RN6
.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?In
addit
ion to
incre
asein
gmob
ility,
the ro
ads f
acilit
ate ac
cess
to se
rvice
s. Th
us, b
y see
king t
o imp
rove
the q
uality
of th
e netw
ork a
nd re
duce
tra
nspo
rtatio
n cos
ts an
d dur
ation
, the p
rogr
am w
ill he
lp re
duce
the o
pera
ting c
osts
of ve
hicles
alon
g the
reha
bilita
ted ro
ads,
which
will
resu
lt in
incre
ased
traff
ic of
good
s and
peop
le wh
o are
key t
o the
econ
omic
bene
fits , a
nd co
nseq
uentl
y , by
impr
oving
the e
cono
mic v
iabilit
y of p
rogr
am
activ
ities
How
does
the i
ndica
tor l
ink t
o th
e BA?
The i
mpro
veme
nt of
the ne
twor
k’s qu
ality
and t
he re
ducti
on of
tran
spor
tation
dura
tion a
nd co
sts w
ill be
felt b
y ben
eficia
ries l
ocate
d with
in a
radiu
s of 5
km of
the R
Nto
be re
habil
itated
, thro
ugh b
etter
acce
ss to
basic
socia
l ser
vices
as w
ell as
econ
omic
oppo
rtunit
ies.
How
does
the i
ndica
tor l
ink t
o th
e im
pact
ev
aluat
ion?
The i
ndica
tor w
ill de
termi
ne th
e inc
reas
e in t
he in
come
of be
nefic
iary h
ouse
holds
of th
e Roa
ds R
ehab
ilitati
on P
rojec
t. The
road
s pro
ject is
ex
pecte
d to i
ncre
ase i
ncom
e of h
ouse
hold
and b
usine
sses
alon
g the
road
s. T
o mea
sure
the i
mpac
t of th
e pro
ject o
n inc
ome,
the ev
aluati
on w
ill inc
lude m
easu
reme
nt in
comp
ariso
n zon
es in
whic
h the
prog
ram’
s acti
vities
have
not b
een i
mplem
ented
The
comp
ariso
n betw
een t
he in
itial
and f
inal s
ituati
ons o
f the t
wo gr
oups
will
repr
esen
t the p
rogr
am’s
contr
ibutio
n to i
ncom
e var
iation
.
Just
ifica
tion
for D
isagg
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Date
of D
ata Q
ualit
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iewNo
vemb
er 20
14
Main
find
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ata q
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iewAv
erag
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out o
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Reco
mmen
datio
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1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
3,2N/
A2.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es st
able
and c
onsis
tent o
ver
time?
3,3N/
A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
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colle
cted?
4.0N/
A4.
PREC
ISIO
N –D
oes t
he da
ta ha
ve an
acce
ptable
mar
gin of
erro
r?3.2
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3.7
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors f
ully p
ortra
y the
re
sults
?3.6
N/A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?3.3
N/A
Over
all as
sess
men
t 3,4
Actio
n ta
ken
in re
spon
se to
dat
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lity r
eview
-Apa
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rvey g
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mptio
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R BA
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ew B
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This
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pecte
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nomi
c ben
efits.
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
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of as
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ptio
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d in
puts
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irectl
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AEx
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AR 3
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ifica
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ifica
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COMM
ENTS
:SU
PPLE
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R DE
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1.3.
Indi
cato
r P.3.
Cha
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n ve
hicle
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er tr
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eter
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N6
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CATO
R BA
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umbe
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3.Al
l Pre
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P.3.
Leve
lGo
alCl
assif
icatio
nLe
vel
Unit
of M
easu
reUS
$
Deta
iled
Defin
ition
Calcu
lated
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the H
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e cha
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n veh
icle o
pera
ting c
osts
will b
e calc
ulated
and t
hen a
vera
ged a
cross
vehic
le tri
ps on
the r
oad a
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numb
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eters
to ar
rive a
t an a
vera
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ange
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hicle
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rip/ki
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rFr
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ortin
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NUAL
Repo
rting
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iod
Cove
red
POST
COM
PACT
Disa
ggre
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By ge
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(YES
/NO)
NOBy
age (
YES/
NO)
NO
By in
come
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NO
By lo
cality
(YES
/NO)
NO
INDI
CATO
R JU
STIF
ICAT
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ILS
Just
ifica
tion
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nclu
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In
dica
tor
The g
oal o
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CA-S
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al Co
mpac
t is to
help
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ce po
verty
in S
eneg
al thr
ough
econ
omic
grow
th by
impr
oving
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oduc
tivity
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cces
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d ser
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ks to
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ts in
deve
lopme
ntal in
frastr
uctur
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ad an
d irri
gatio
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tors.
Thus
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proje
ct ar
ea, th
is go
al wi
ll be
asse
ssed
by th
e rate
of va
riatio
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come
s of
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ndica
tor w
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ome a
nswe
rs as
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n veh
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pera
ting c
osts
on th
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.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?
In ad
dition
to in
creas
eing m
obilit
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road
s fac
ilitate
acce
ss to
servi
ces.
Thus
, by s
eekin
g to i
mpro
ve th
e qua
lity of
the n
etwor
k and
redu
ce tr
ansp
ortat
ion co
sts
and d
urati
on, th
e pro
gram
will
help
redu
ce th
e ope
ratin
g cos
ts of
vehic
les al
ong t
he re
habil
itated
road
s,wh
ich w
ill re
sult i
n inc
reas
ed tr
affic
of go
ods a
nd pe
ople
who a
re ke
y to t
he ec
onom
ic be
nefits
, and
cons
eque
ntly,
by im
prov
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e eco
nomi
c viab
ility o
f pro
gram
activ
ities
How
does
the i
ndica
tor l
ink t
o th
e BA?
The i
mpro
veme
nt of
the ne
twor
k’s qu
ality
and t
he re
ducti
on of
tran
spor
tation
dura
tion a
nd co
sts w
ill be
felt b
y ben
eficia
ries l
ocate
d with
in a r
adius
of 5
km of
the
RNto
be re
habil
itated
, thro
ugh b
etter
acce
ss to
basic
socia
l ser
vices
as w
ell as
econ
omic
oppo
rtunit
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How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?
The i
ndica
tor w
ill de
termi
ne th
e inc
reas
e in t
he in
come
of be
nefic
iary h
ouse
holds
of th
e Roa
ds R
ehab
ilitati
on P
rojec
t. The
road
s pro
ject is
expe
cted t
o inc
reas
e inc
ome o
f hou
seho
ld an
d bus
iness
es al
ong t
he ro
ads.
To m
easu
re th
e imp
act o
f the p
rojec
t on i
ncom
e, the
evalu
ation
will
includ
e mea
sure
ment
in co
mpar
ison
zone
s in w
hich t
he th
e pro
gram
’s ac
tivitie
s hav
e not
been
imple
mente
d.Th
e com
paris
on be
twee
n the
initia
l and
final
situa
tions
of th
e two
grou
ps w
ill re
pres
ent
the pr
ogra
m’s
contr
ibutio
n to i
ncom
e var
iation
.Ju
stifi
catio
n fo
r Di
sagg
rega
tions
The i
ndica
tor w
ill no
t be d
isagg
rega
ted
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at A
GERO
UTE:
Mama
dou N
DAO
Phon
e+2
21 77
333 8
9 16
E-m
ailmn
dao@
ager
oute.
sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aMC
Cco
llecte
d the
data
for th
e bas
eline
using
the H
DM4 M
odeli
ng in
2015
.
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
ca
lculat
ions c
ompu
ted by
sour
ce)
The f
igure
s will
bepu
lled f
rom
the H
DM-4
mod
els co
nduc
ted by
MCC
and/o
r its c
onsu
ltants
, bas
ed on
chan
ges i
n ro
ad m
easu
res (
IRI, d
eflec
tions
, etc)
as w
ell as
othe
r mod
el pa
rame
ters (
includ
ing tr
affic
coun
ts)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
12
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Refer
toQu
estio
nnair
e Roa
d Pro
ject H
ouse
hold
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to U
SAC
The d
ata ar
e coll
ected
by th
e PMU
-AGE
ROUT
E wi
th the
supp
ort o
f MCC
and
tran
smitte
d to U
SAC-
S.Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
Twice
: at th
e en
d of th
e Com
pact
and d
uring
the p
ost c
ompa
ctNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
Base
line s
urve
ysDa
ta ba
se an
alysis
table
Final
surve
ysDa
ta ba
se an
alysis
table
Loca
tion
of D
ata S
tora
geUS
AC-S
eneg
al.IN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er 20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re (o
ut of
4)Re
comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
Scor
e Moy
en (n
ote
sur 4
)N/
A
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,5N/
A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and
frequ
ently
colle
cted?
3,6N/
A
4. PR
ECIS
ION
–Doe
s the
data
have
an
acce
ptable
mar
gin of
erro
r?3,2
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,6
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indic
ators
fully
portr
ay th
e res
ults?
3,8N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?1,6
N/A
Over
all as
sess
men
t 3,7
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Apa
rt fro
m the
agric
ultur
al inc
ome,
the su
rvey g
ather
ed da
ta on
the c
onsu
mptio
n and
asse
ts of
hous
ehold
sKn
own
data
limita
tions
and
signi
fican
ceN/
AAc
tions
take
n to
addr
ess d
ata l
imita
tions
N/A
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
e0
Old
Base
line Y
ear
2010
Sour
ce o
f old
Bas
eline
MCC
HDM4
Mod
eling
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
10So
urce
of N
ew B
aseli
neMC
C HD
M4 M
odeli
ngJu
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)Th
isind
icator
was
chan
ged t
o alig
n mor
e dire
ctly w
ith th
e HDM
-4 m
odel
and t
he ex
pecte
d eco
nomi
c ben
efits.
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
P.3
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
13
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
This
indica
tor w
as ch
ange
d to a
lign m
ore d
irectl
y with
the H
DM-4
mod
el an
d the
ex
pecte
d eco
nomi
c ben
efits.
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
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lculat
ions
YEAR
2Ol
dNe
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stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
This
indica
tor w
as ch
ange
d to a
lign m
ore d
irectl
y with
the H
DM-4
mod
el an
d the
ex
pecte
d eco
nomi
c ben
efits.
Oct 2
011 -
Sept.
2012
0%N/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
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nsYE
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ifica
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rget
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)Oc
t 201
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pt. 20
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AN/
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plan
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mpt
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and
inpu
ts
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latio
nsYE
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ifica
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rget
s or c
alcul
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f any
)Oc
t 201
3 -Se
pt. 20
14N/
AN/
AEx
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atio
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assu
mpt
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YEAR
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catio
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ulat
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ny)
This
targe
t is de
rived
from
the H
DM-4
mod
el co
mplet
ed in
2015
.
Oct 2
014 -
Sept.
2015
.16.16
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Long
Ter
m T
arge
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stifi
catio
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Expl
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ptio
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COMM
ENTS
:
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
14
2.Pe
rform
ance
Indi
cato
rs an
d ta
rget
s of t
he Ir
rigat
ion
Proj
ect
PERF
ORMA
NCE
INDI
CATO
RS
IRRI
GATI
ON A
ND W
ATER
RES
OURC
ES M
ANAG
EMEN
T PR
OJEC
T
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
15
2.1.
Indi
cato
r IW
RM.1.
Rice
Pad
dy P
rodu
ctio
n (D
elta /
Ngale
nka)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eRi
ce P
addy
Pro
ducti
on(D
elta/
Ngale
nka)
Vers
ion
N° 03
/ Sep
t201
5Co
mm
on In
dica
tor N
umbe
rNo
t App
licab
leCu
rrent
Indi
cato
r Num
ber
IWRM
.1.Al
l Pre
vious
Indi
cato
r Num
bers
IWRM
.1.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Tons
Deta
iled
Defin
ition
Total
quan
tity of
padd
y rice
prod
uced
per a
nnum
in th
e pro
ject’s
inter
venti
on ar
eas.
Freq
uenc
y of R
epor
ting
ANNU
AL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By ag
e (YE
S/NO
)NO
By
inco
me (Y
ES/N
O)NO
By
loca
lity (Y
ES/N
O)
YES
(Delt
a / N
galen
ka)
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
Just
ifica
tion
for I
nclu
ding
In
dica
tor
The i
ndica
tor pr
ovide
s info
rmati
on on
the a
ttainm
ent o
f the I
WRM
proje
ct ob
jectiv
e, wh
ichis
to inc
reas
e agr
icultu
ral p
rodu
ction
and t
he pr
oduc
tivity
of th
e ag
ricult
ural
secto
r. Ac
tually
, the c
onstr
uctio
n of th
e wate
r infra
struc
ture,
the im
prov
emen
t of th
edra
inage
syste
ms an
d the
land
tenu
re se
curity
activ
ities w
ill he
lp inc
reas
e rice
prod
uctio
n, on
e of th
e key
crop
s of th
e irri
gatio
n zon
es. S
uch p
rodu
ction
incre
ase w
ill he
lp as
sess
the p
rogr
essio
n of p
rodu
ction
and
prod
uctiv
ity.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?Th
e ind
icator
will
prov
ide in
forma
tion o
n the
incre
ase i
n pro
ducti
on re
sultin
g in t
he in
creas
e in c
ultiva
ble he
ctare
s, cro
pping
inten
sity a
nd yi
elds,
all of
whic
h inc
reas
e und
er th
e with
-pro
ject c
ase,
creati
ng th
e eco
nomi
c ben
efits.
The
ERR
was
set o
n the
basis
of 3
crops
(Rice
, Tom
atoes
, Onio
ns).
How
does
the i
ndica
tor l
ink t
o th
e BA?
The i
ncre
ase i
n rice
prod
uctio
n res
ulting
from
the c
ondu
ct of
activ
ities w
ill ha
ve an
impa
ct on
emplo
ymen
t and
the a
lloca
tion o
f rec
over
ed la
nd an
d/or
exten
sion t
o new
bene
ficiar
ies. T
hus,
one e
xpec
ts clo
se to
22,33
6 ben
eficia
ry ho
useh
olds i
.e. 26
8,029
peop
le.Ho
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct ev
aluat
ion?
The i
mpac
t eva
luatio
n sur
vey l
ays e
mpha
sis on
the r
ice pr
oduc
tion o
f hou
seho
lds in
the p
roce
ssing
area
s and
test
zone
s. Th
e dat
a obta
ined w
ith te
st zo
nes
may b
e com
pare
d with
thos
e obta
ined i
n the
proc
essin
g are
as w
ith a
view
to ev
aluati
ng th
e imp
act o
f infra
struc
ture b
uiltin
the p
roce
ssing
area
s.
Just
ifica
tion
for
Disa
ggre
gatio
nsTh
e data
will
be di
sagg
rega
ted by
loca
lity or
zone
(Delt
a and
Nga
lenka
). T
his di
sagg
rega
tion s
hows
the c
ontrib
ution
of ea
ch of
the c
ompo
nents
and z
ones
in
agric
ultur
al pr
oduc
tion a
nd pr
oduc
tivity
.
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
SAED
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adou
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llect
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rimar
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aSA
ED -
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oring
–Ev
aluati
on U
nitDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(in
cludin
g any
calcu
lation
s com
puted
by so
urce
)Do
ne on
the b
asis
of re
sults
publi
shed
by S
AED
on th
e yiel
d plot
s and
the s
ituati
on on
the h
ectar
es cu
ltivate
d acc
ordin
g to t
he
seas
on (r
ainy s
easo
n, co
ld dr
y sea
son,
and h
otdr
y sea
son)
. On
arriv
al on
the e
dge o
f the p
lot, th
e Agr
icultu
ral A
dvise
r mak
es a
roug
h esti
mate
of the
widt
h and
leng
th of
the pl
ot. D
epen
ding
onwh
ich of
thes
e two
estim
ation
s he i
s calc
ulatin
g, the
Agr
icultu
ral A
dvise
r ran
doml
y dra
ws fr
om hi
s ran
dom
table
2num
bers
(of
1, 2 o
r3 fig
ures
depe
nding
on th
eesti
matio
ns m
ade o
f the l
ength
and w
idth)
. To r
aise t
he sq
uare
,the A
gricu
ltura
l Adv
iserw
alks
length
wise
coun
ting a
s man
y step
s as t
he fir
st nu
mber
draw
n, th
en, w
hen h
e gets
to hi
s des
tinati
on, h
e walk
s alon
g the
plot’
s
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
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e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
16
width
and t
akes
as m
any s
teps a
s the
seco
nd nu
mber
draw
n. An
d he r
aises
the s
quar
e on t
he po
int at
whic
h he s
tops.
Form
ula =
Aver
age y
ield X
total
cultiv
atedh
ectar
es
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Thes
e are
surve
y data
obtai
ned t
hrou
gh th
e meth
odolo
gy of
yield
plots
insta
lled b
y SAE
DDe
taile
d de
scrip
tion
of h
ow d
ata i
s tra
nsm
itted
from
so
urce
toUS
ACTh
e data
is tr
ansm
itted t
o MCA
-S th
roug
h offic
ial co
rresp
onde
nce b
y SAE
D. B
eside
s, a m
ission
of th
e M&E
Dire
ctora
te is
sche
duled
to m
eet th
e Mon
itorin
g and
Eva
luatio
n tea
m wi
th a v
iew to
colle
cting
all ra
w da
ta re
quire
d for
the c
alcula
tion o
f the
indica
tor.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nAN
NUAL
Na
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
SEAD
Ann
ual R
epor
t, Lett
er fr
om S
AED
Annu
al pr
oduc
tion s
tatist
icsSA
ED D
ata B
ase
Prod
uctio
n Sur
veys
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er 20
14Ma
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of
4)Re
comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?
3,4
Infor
matio
n pro
vided
by th
e SA
ED
infor
matio
n sys
tem
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?3,5
None
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
SAED
ME
syste
m da
ta
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?3,2
Prop
ose t
o pro
vide i
nform
ation
on th
e ma
rgin
of er
ror
resu
lting f
rom
the us
e of
the yi
elds e
stima
tion m
ethod
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.1
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
17
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
None
6.AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
4,0No
ne
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,7
None
Over
all E
valu
atio
n3,7
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity
revie
w-C
ollec
tion p
roce
dure
clar
ified a
nd ha
rmon
ized w
ith S
AED
-Mar
ginso
f erro
r link
ed to
the y
ield p
lots
spec
ified
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
-A sa
mplin
g of P
rodu
cers’
Org
aniza
tions
is un
derta
ken b
y SAE
D. P
rivate
prod
ucer
s are
not ta
ken i
nto co
nside
ratio
n.Ac
tions
take
n to
addr
ess d
ata
limita
tions
-MCA
-S’s
requ
ests
to SA
ED to
take
the l
ocali
ty as
pects
into
cons
idera
tion (
differ
entia
te De
lta an
d Nga
lenka
) in th
e sam
pling
devic
e;-E
xcha
nges
on th
e mea
sure
s tak
en w
ith re
gard
to da
te qu
ality
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
e10
2 000
Old
Base
line Y
ear
2010
-201
1So
urce
of o
ld B
aseli
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ta Ba
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ED:R
efer t
o Lett
erSA
ED N
° 195
9-12
du 12
-12-
2012
New
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line
1020
00Ne
w Ba
selin
e Yea
r 20
10-2
011
Sour
ce o
f New
Bas
eline
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Base
SAE
D:R
efer t
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er S
AED
N° 19
59-1
2 of 1
2-12
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2Ju
stifi
catio
n fo
r Bas
eline
Cha
nge
(if an
y)IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
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hang
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rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
0 -Se
pt. 20
1110
2 000
102 0
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plan
atio
n of
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mpt
ions
and
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ts to
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rget
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latio
nsYE
AR 2
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ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
1210
7000
1070
00Ex
plan
atio
n of
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mpt
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ts to
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latio
ns
YEAR
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dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
107 0
0010
7 000
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Durin
g yea
r 3, th
e exp
loitat
ion of
the N
galen
ka B
asin
will c
ome t
o a ha
lt with
the s
tart o
f wor
ks sc
hedu
led in
Yea
r 1. H
owev
er, th
e pro
ducti
ons w
ill be
pursu
ed in
the D
elta.
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
107 0
0010
7 000
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
tota
rget
calcu
latio
nsDu
ring Y
ear 4
, the N
galen
ka B
asin
will b
e und
er pr
oduc
tion a
nd in
the D
elta,
some
ofthe
built
infra
struc
ture w
ill be
oper
ation
al an
d will
help
impr
ove t
he irr
igatio
n sys
tem
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
18
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
111 0
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1 000
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
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ions
Long
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arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
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ions
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ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
:SU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)Me
thod o
f esti
matin
g rice
yield
plots
2.2.
Indi
cato
r IW
RM.2.
Tom
ato
prod
uctio
n(D
elta /
Nga
lenka
)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eTo
mato
prod
uctio
n(De
lta / N
galen
ka)
Vers
ion
N° 03
/ Sep
t201
5Co
mm
on In
dica
tor N
umbe
rNo
t App
licab
leCu
rrent
Indi
cato
r Num
ber
IWRM
.2.Al
l Pre
vious
Indi
cato
r Num
bers
IWRM
.2.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Tons
Deta
iled
Defin
ition
Total
quan
tity of
cold
off-se
ason
toma
toes p
rodu
ced p
er ye
ar in
the p
rojec
t’s in
terve
ntion
zone
s.Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By ag
e (YE
S/NO
)NO
By in
come
(YES
/NO)
NOBy
loca
lity (Y
ES/N
O)YE
S (D
elta /
Nga
lenka
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor pr
ovide
s info
rmati
on on
the a
ttainm
ent o
f the I
WRM
proje
ct ob
jectiv
e, wh
ichis
to inc
reas
e agr
icultu
ral p
rodu
ction
and t
he pr
oduc
tivity
of th
e ag
ricult
ural
secto
r. Ac
tually
, the c
onstr
uctio
n ofth
e wate
r infra
struc
ture,
the im
prov
emen
t of th
e dra
inage
syste
ms an
d the
land
tenu
re se
curity
activ
ities
will h
elp in
creas
e tom
ato pr
oduc
tion,
one o
f thek
ey cr
ops o
f the i
rriga
tion z
ones
. Suc
hpro
ducti
on in
creas
e will
help
asse
ss th
e inc
reas
e in a
gricu
ltura
l pr
oduc
tiona
nd pr
oduc
tivity
.Ho
w do
es th
e ind
icato
r lin
k to
the
ERR?
The i
ndica
tor w
ill pr
ovide
infor
matio
n on t
he in
creas
e in p
rodu
ction
resu
lting i
n the
incre
ase i
n cult
ivable
hecta
res,
cropp
ing in
tensit
y and
yield
s. Th
e ERR
wa
s set
on th
e bas
is of
3 cro
ps (R
ice, T
omato
es, O
nions
). Ho
w do
es th
e ind
icato
r lin
k to
the
BA?
The i
ncre
ase i
n tom
atopr
oduc
tion r
esult
ing fr
om th
e con
duct
of ac
tivitie
s will
have
an im
pact
on em
ploym
ent a
nd th
e allo
catio
n of
reco
vere
d lan
d and
/or
exten
sion t
o new
bene
ficiar
ies. T
hus,
one e
xpec
ts clo
se to
22,33
6 ben
eficia
ry ho
useh
olds i
.e. 26
8,029
peop
le, 35
% of
who
are i
n qu
intile
1 (<
$2/j),
42%
be
twee
n $2 a
nd $4
/d an
d 23%
high
er th
an $4
/d.
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?Th
e imp
act e
valua
tion s
urve
y lay
s emp
hasis
on th
e tom
ato pr
oduc
tion
of ho
useh
olds i
n the
proc
essin
g are
as an
d tes
t zon
es. T
he da
ta ob
taine
d with
test
zone
s may
be co
mpar
ed w
ith th
ose o
btaine
d in t
he pr
oces
sing a
reas
with
a vie
w to
evalu
ating
the i
mpac
t of in
frastr
uctur
e buil
t in th
epro
cess
ing ar
eas.
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
19
Just
ifica
tion
for D
isagg
rega
tions
The d
ata w
ill be
disa
ggre
gated
by zo
ne (D
elta a
nd N
galen
ka) T
he di
sagg
rega
tion s
hows
the c
ontrib
ution
of ea
ch of
zone
s in a
gricu
ltura
l pro
ducti
on an
d pr
oduc
tivity
.IN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
Irr
igatio
n Pro
ject D
irecto
rate
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding
any c
alcula
tions
comp
uted b
y sou
rce)
Done
on th
e bas
is of
resu
lts pu
blish
ed by
SAE
D on
the y
ield p
lots a
nd th
e situ
ation
on th
e are
as cu
ltivate
d acc
ordin
g to t
he
seas
on (c
old of
f-sea
son)
. Iti
nvolv
es co
nduc
ting a
rand
om sa
mplin
g con
cern
ing10
% of
plots
in th
e tota
lpop
ulatio
n of p
lots i
n eac
h zon
e unti
l the
surfa
ce ar
ea to
be sa
mpled
is at
taine
d. Th
is me
thod w
ill thu
s be a
pplie
d to t
he pl
ot wh
ose s
ize is
norm
ally b
etwee
n 0.1
and
1ha.
The s
quar
e or r
ectan
gle sh
ould
meas
ure 1
0m2
Form
ula =
Aver
age y
ield X
total
cultiv
atedh
ectar
esIf
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
resp
onde
ntTh
ese a
re su
rvey d
ata ob
taine
d thr
ough
the m
ethod
ology
of yi
eld pl
ots in
stalle
d by S
AED
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
The d
ata is
tran
smitte
d to M
CA-S
thro
ugh o
fficial
corre
spon
denc
e by S
AED.
Add
itiona
lly, a
miss
ion of
the M
&E D
irecto
rate
is sc
hedu
led to
mee
t the M
onito
ring a
nd E
valua
tion t
eam
with
a view
to co
llecti
ng al
l raw
data
requ
ired f
or th
e calc
ulatio
n of th
e ind
icator
.Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
ANNU
ALNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
SAED
Ann
ual R
epor
t, Lett
erAn
nual
prod
uctio
n stat
istics
SAED
Data
Bas
ePr
oduc
tion s
ampli
ng su
rveys
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14Ma
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?
3,4
Infor
matio
n pro
vided
by th
e SA
ED
infor
matio
n sys
tem
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?3,5
None
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.2
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
20
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
SAED
ME
syste
mda
ta
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?3,2
Prop
ose t
o pro
vide i
nform
ation
on th
e ma
rgin
of er
ror r
esult
ing fr
om th
e use
of
the yi
elds e
stima
tion m
ethod
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
None
6.AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
4,0No
ne
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,7No
ne
Over
all as
sess
men
t 3,7
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity
revie
w-C
ollec
tion p
roce
dure
clar
ified a
nd ha
rmon
ized w
ith S
AED
-Mar
ginso
f erro
r link
ed to
the y
ield p
lots
spec
ified
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
-A sa
mplin
g is u
nder
taken
by S
AED
with
the P
rodu
cers
Orga
nizati
on. P
rivate
prod
ucer
s are
not ta
ken i
nto co
nside
ratio
n.Ac
tions
take
n to
addr
ess d
ata l
imita
tions
-Tak
ing in
to co
nside
ratio
n the
loca
lity as
pects
into
cons
idera
tion (
differ
entia
te De
lta an
d Nga
lenka
) in th
e sam
pling
devic
e;-E
xcha
nges
on th
e mea
sure
s tak
en w
ith re
gard
to da
ta qu
ality
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
e12
700
Old
Base
line Y
ear
2010
-201
1So
urce
of o
ld B
aseli
neCo
mpac
t et a
nd E
RR
New
Base
line
12 70
0Ne
w Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f New
Bas
eline
Data
Base
SAE
D:R
efer t
oLett
er S
AED
N°
1959
-12 o
f 12-
12-2
012
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
The o
rigina
l bas
eline
of 10
,500 (
and s
ubse
quen
t targ
ets)w
eree
rrone
ously
set b
ased
on ac
cepti
ng im
prop
er ou
tput fr
om th
e ERR
mod
el. T
he ne
w tar
get is
base
d on S
AED
value
s for
prod
uctio
n the
year
prior
to th
e com
pact
works
.IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
0 -Se
pt. 20
1112
700
1270
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
1214
200
14 20
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
2 -Se
pt. 20
1314
200
14 20
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
3 -Se
pt. 20
1414
200
14 20
0
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
21
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
etca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
35 50
035
500
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
115 0
0011
5 000
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Metho
d of e
stima
ting y
ields
of di
versi
ficati
on cr
ops
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
22
2.3.
Indi
cato
r IW
RM.3.
Onio
n pr
oduc
tion
(Delt
a / N
galen
ka)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eOn
ion pr
oduc
tion (
Delta
/ Nga
lenka
)Ve
rsio
nN°
03 /S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.3.
All P
revio
us In
dica
tor N
umbe
rsIW
RM.3.
Leve
lOu
tcome
Clas
sifica
tion
Leve
lUn
it of
Mea
sure
*To
nsDe
taile
d De
finiti
onTo
tal qu
antity
of co
ld off
-seas
on on
ions p
rodu
ced p
er an
num
in the
proje
ct’s i
nterve
ntion
area
s.Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Re
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NO
By in
come
(YES
/NO)
NO
By lo
cality
(YES
/NO)
YES
(Delt
a / N
galen
ka)
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
prov
ides i
nform
ation
on th
e atta
inmen
t of th
e IW
RM pr
oject
objec
tive w
hich i
s to i
ncre
ase a
gricu
ltura
l pro
ducti
on an
d the
pr
oduc
tivity
of th
e agr
icultu
ral s
ector
. Actu
ally,
the co
nstru
ction
ofthe
wate
r infra
struc
ture,
the im
prov
emen
t of th
e dra
inage
syste
ms
and t
he la
nd te
nure
secu
rity ac
tivitie
s will
help
incre
ase o
nion p
rodu
ction
, one
of th
e key
crop
s of th
e irri
gatio
nzon
es. S
uch
prod
uctio
n inc
reas
e will
help
asse
ss th
e pro
gres
sion o
f pro
ducti
on an
d pro
ducti
vity.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?Th
e ind
icator
will
prov
ide in
forma
tion o
n the
incre
ase i
n pro
ducti
on re
sultin
g in t
he in
creas
e in c
ultiva
ble he
ctare
s, cro
pping
inten
sity
and y
ields
. The
ERR
was
set o
n the
basis
of 3
crops
(Rice
, Tom
atoes
, Onio
ns).
How
does
the i
ndica
tor l
ink t
o th
e BA?
The i
ncre
ase i
n onio
n pro
ducti
on re
sultin
g fro
m the
cond
uct o
f acti
vities
will
have
an im
pact
on em
ploym
ent a
nd th
e allo
catio
n of
reco
vere
d lan
d and
/or ex
tensio
n to n
ew be
nefic
iaries
. Thu
s,on
e exp
ects
close
to 22
,336 b
enefi
ciary
hous
ehold
s i.e.
268,0
29 pe
ople,
35
% of
who
m ar
e in q
uintile
1 (<
$2/d)
, 42%
betw
een $
2 and
$4/d
and 2
3% hi
gher
than
$4/d.
How
does
the i
ndica
tor l
ink t
o th
e im
pact
ev
aluat
ion?
The i
mpac
t eva
luatio
n sur
vey l
ays e
mpha
sis on
the o
nion p
rodu
ction
of h
ouse
holds
in th
e pro
cess
ing ar
eas a
nd te
st zo
nes.
The d
ata
obtai
ned w
ith te
st zo
nes m
ay be
comp
ared
with
thos
e obta
ined i
n the
proc
essin
g are
as w
ith a
view
to ev
aluati
ng th
e imp
act o
f inf
rastr
uctur
e buil
t in th
e pro
cess
ingar
eas.
Just
ifica
tion
for D
isagg
rega
tions
The d
ata w
ill be
disa
ggre
gated
by zo
ne (D
elta a
nd N
galen
ka).
The
disa
ggre
gatio
n sho
ws th
e con
tributi
on of
each
of th
e zon
es in
ag
ricult
ural
prod
uctio
n and
prod
uctiv
ity.
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
SAED
:Am
adou
NIA
NGPh
one
7751
1 22 7
2E-
Amad
ou.ni
ang@
saed
.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
ED
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
23
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy
(inclu
ding a
ny ca
lculat
ions c
ompu
ted by
sour
ce)
Done
on th
e bas
is of
resu
lts pu
blish
ed by
SAE
D on
the y
ield p
lots a
nd th
e situ
ation
on th
e are
as cu
ltivate
d acc
ordin
g to t
he se
ason
(co
ld off
-seas
on).
Itinv
olves
cond
uctin
g a ra
ndom
samp
ling c
once
rning
10%
of pl
ots in
the t
otal p
opula
tion o
f plot
s in e
ach z
one u
ntil th
e sur
face
area
to
be sa
mpled
is at
taine
d. Th
is me
thod w
ill thu
s be a
pplie
d to t
he pl
ot wh
ose s
ize is
norm
ally b
etwee
n 0.1
and 1
ha. T
he sq
uare
or
recta
ngle
shou
ld me
asur
e 10m
2. H
owev
er, fo
r the
purp
ose o
f rep
rese
ntativ
enes
s, the
follo
wing
spec
tra w
ill be
used
:0.1
0 –0.5
ha : 1
squa
re or
rec
tangle
More
than
0.5 h
a : 2
squa
res o
r rec
tangle
sFo
rmula
= Av
erag
e yiel
d X to
tal cu
ltivab
le he
ctare
sIf
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
re
spon
dent
Thes
e are
surve
y data
obtai
ned t
hrou
gh th
e meth
odolo
gy of
yield
plots
insta
lled b
y SAE
D
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om
sour
ce to
USA
CTh
e data
is tr
ansm
itted t
o MCA
-S th
roug
h offic
ial co
rresp
onde
nce b
y SAE
D. B
eside
s, a m
ission
of th
e M&E
Dire
ctora
te is
sche
duled
to
meet
the M
onito
ring a
nd E
valua
tion t
eam
with
a view
to co
llecti
ng al
l raw
data
requ
ired f
or th
e calc
ulatio
n of th
e ind
icator
.Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
ANNU
ALNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
SAED
Ann
ual R
epor
t, Lett
erAn
nual
prod
uctio
n stat
istics
SAED
Data
Bas
ePr
oduc
tion s
ampli
ng su
rveys
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er 20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d re
sults
?
3,4
Infor
matio
n pro
vided
by th
e SA
ED
infor
matio
n sys
tem
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
stab
le an
d co
nsist
ent o
ver t
ime?
3,5No
ne
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.3
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
24
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
colle
cted?
4,0SA
ED M
E sy
stem
data
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of
erro
r?3,2
Prop
ose t
o pro
vide i
nform
ation
on th
e ma
rgin
of er
ror r
esult
ing fr
om th
e use
of
the yi
elds e
stima
tion m
ethod
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
None
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors f
ully
portr
ay th
e res
ults?
4,0No
ne
7.PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,7No
ne
Over
all as
sess
men
t 3,7
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re cl
arifie
d and
harm
onize
d with
SAE
D-D
isagg
rega
tionb
y gen
der a
nd in
the a
bsen
ce of
disa
ggre
gated
data,
infor
m the
head
ing "U
nspe
cified
"Kn
own
data
limita
tions
and
signi
fican
ce-A
samp
ling i
s und
ertak
en by
SAE
D wi
th the
Pro
duce
rs’ O
rgan
izatio
n. Pr
ivate
prod
ucer
s are
not ta
ken i
nto co
nside
ratio
n.
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
ns-I
ntegr
ation
of lo
cality
aspe
cts (d
iffere
ntiate
Delta
andN
galen
ka) in
the S
AED
samp
ling s
ystem
;-E
xcha
nges
on th
e mea
sure
s tak
en w
ith re
gard
to da
ta qu
ality
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
e10
900
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Base
line Y
ear
2010
-201
1So
urce
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ld B
aseli
neCo
mpac
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nd E
RR
New
Base
line
1090
0Ne
w Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f New
Bas
eline
SAED
Data
Bas
e:Re
fer to
Lette
rfro
mSA
ED
N° 19
59-1
2 du 1
2-12
-201
2Ju
stifi
catio
n fo
r Bas
eline
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nge
(if an
y)IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
0 -Se
pt. 20
1110
900
1090
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
16 00
016
000
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
2 -Se
pt. 20
1316
000
16 00
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
16 00
016
000
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
25
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
4 -Se
pt. 20
1540
000
40 00
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
Long
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m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
130 0
0013
0 000
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsCO
MMEN
TSSU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)Mé
thode
d'esti
matio
n des
rend
emen
ts de
s cult
ures
de di
versi
ficati
on
2.4.
Indi
cato
r IW
RM.4.
Crop
ping
inte
nsity
(Delt
a)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eCr
oppin
g inte
nsity
(Delt
a)Ve
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.4.
All P
revio
us In
dica
tor N
umbe
rsIW
RM.4.
Leve
lOu
tcome
Clas
sifica
tion
Leve
l Un
it of
Mea
sure
*Pe
rcenta
geDe
taile
d De
finiti
onCr
oppin
g inte
nsity
in irr
igated
area
s of th
e Delt
a isc
alcula
ted on
the b
asis
of the
form
ula:T
otal n
umbe
r of h
ectar
es cu
ltivate
d per
year
/Tota
l num
ber
of cu
ltivab
le he
ctare
s.Th
e cult
ivable
land r
epre
sents
the en
tire su
rface
area
that
can b
e cult
ivated
(repo
rted b
y SAE
D as
«su
perfic
ie ex
ploita
ble»)
Freq
uenc
y of R
epor
ting
ANNU
AL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By
age (
YES/
NO)
NO
By in
come
(YES
/NO)
NO
By lo
cality
(YES
/NO)
NO
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
will
prov
ide in
forma
tion o
n the
achie
veme
nt of
the IW
RM pr
oject
objec
tive c
onsis
ting i
n inc
reas
ing ag
ricult
ural
prod
uctio
n and
the
prod
uctiv
ity of
the a
gricu
ltura
l sec
tor. T
he de
velop
ment
of cro
pping
inten
sity w
ill co
nstitu
te a r
esult
that
will h
elp as
sess
the p
rogr
essio
n in h
ectar
es
unde
r pro
ducti
on.
How
does
the i
ndica
tor l
ink t
o th
e ER
R?Th
e ind
icator
will
prov
ide in
forma
tion o
n Cro
pping
Inten
sity,
which
is the
ratio
of he
ctare
s und
er pr
oduc
tion o
verc
ultiva
blear
eas.
This
ratio
will
make
it po
ssibl
e to a
ccur
ately
repo
rt the
incre
asei
n pro
ducti
vity a
nd th
us th
e ERR
. Mor
eove
r, the
CIw
ill be
a de
cisive
facto
r to s
how
the i
ncre
ase i
n ava
ilable
wa
ter qu
antiti
es an
d the
effic
iency
of th
e dra
inage
syste
m.Ho
w do
es th
e ind
icato
r lin
k to
the
BA?
Not A
pplic
able
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
26
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?Th
e imp
act e
valua
tion s
urve
y sho
ws th
e CI tr
end i
n com
paris
on an
d con
trol z
ones
. The
data
obtai
ned w
ith co
ntrol
zone
s may
be co
mpar
ed w
ith th
ose
in the
comp
ariso
n zon
es in
orde
r to e
valua
te the
impa
ct of
infra
struc
tureb
uilt in
the c
ompa
rison
zone
s.Ju
stifi
catio
n fo
r Disa
ggre
gatio
nsNo
t App
licab
leIN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
SA
EDPo
int o
f Con
tact
Res
pons
ible
for C
ollec
ting
the
Data
at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Da
taSA
ED
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
calcu
lation
s com
puted
by
sour
ce)
The c
ollec
tion o
f data
on th
e tota
l cult
ivated
area
s in t
he irr
igated
land
and p
er se
ason
(rain
y sea
son,
dry s
easo
n, ho
t dry
seas
on).
The d
ata
colle
cted c
ome f
rom
the fo
llowi
ng so
urce
s:Sa
tellite
imag
es ta
ken i
n the
midd
le of
the c
ycle
(for d
iffere
nt far
ming
seas
ons);
Resu
ltsof
field
surve
ys (c
ondu
cted b
y the
remo
te se
nsing
team
) an
d spe
cific
studie
s (so
cio-la
nd st
udies
)Va
rious
map
ping m
eans
reco
vere
d in d
igital
form
(soil
map
s, dr
awing
plans
of w
orks
, etc.
);so
cio-e
cono
mic d
ata ba
se (d
evelo
pmen
ts / d
evelo
pmen
t acto
rs);
Data
on th
e tot
al cu
ltivate
d ar
eas c
once
rning
the
rainy
seas
on is
colle
cted
by m
obiliz
ing S
AED’
s fiel
d str
uctur
e, in
each
Dele
gatio
n, un
der
the re
spon
sibilit
y of t
he M
onito
ring-
Evalu
ation
Offic
e (B
SE),
For e
ach
Deve
lopme
nt Un
it (UM
V), t
he ty
pe o
f cro
ps a
nd cu
ltivate
d ar
eas a
s we
ll as t
he P
O gr
owing
them
will
be re
gister
ed. T
he co
llecte
d data
on ar
eas s
own d
uring
the r
ainy s
easo
n, aft
er ve
rifica
tion b
y the
head
s of
secto
rs, ar
e ente
red b
y the
Mon
itorin
g and
Eva
luatio
n Offic
e.Nu
mera
tor (1
) = to
tal cu
ltivate
d are
as fo
r all s
easo
ns
Deno
mina
tor (2
) = cu
ltivab
le lan
d sur
faces
in th
e Delt
a[“su
perfic
ie ex
ploita
ble” in
the S
AED
datab
ase]
Crop
ping I
ntens
ity =
(1) /
(2)
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to
resp
onde
ntTh
ese a
re su
rvey d
ata ob
taine
d by S
AED
on th
e tota
l cult
ivated
area
s in t
he irr
igated
land
. The
data
colle
ction
on th
e tota
l cult
ivated
area
sco
ncer
ns th
e thr
ee se
ason
s of th
e yea
r.De
taile
d de
scrip
tion
of h
ow d
ata i
s tra
nsm
itted
fro
m so
urce
to U
SAC
The d
atais
trans
mitte
d to S
AED
throu
gh M
CA-S
’s off
icial
corre
spon
denc
e. Be
sides
, a m
ission
of th
e M&E
Dire
ctora
te is
sche
duled
to m
eet
the M
onito
ring a
nd E
valua
tion t
eam
with
a view
to co
llecti
ng al
l raw
data
requ
ired f
or th
e calc
ulatio
n of th
e ind
icator
.Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
ANNU
AL
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nRa
ppor
t Ann
uel S
AED,
lettr
e SAE
DSt
atisti
ques
sur le
s sup
erfic
ies cu
ltivab
les et
cultiv
ées d
ans l
e Nga
lenka
Base
de D
onné
es S
AED
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14Ma
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of
4)Re
comm
enda
tions
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
27
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?
4,0
Infor
matio
n pro
vided
by S
AED
infor
matio
n sys
tem In
dicato
r to
repo
sition
as im
pact
indica
tor.
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
rtim
e?4,0
N/A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
SAED
ME
syste
m da
ta
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?4,0
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
4,0N/
A
7.PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,7N/
A
Over
all as
sess
men
t 4,0
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Pro
cédu
re et
méth
odolo
gie de
colle
cte pr
écisé
e et h
armo
nisée
avec
la S
AED
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Not A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
0,6Ol
d Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f old
Bas
eline
SAED
Data
Base
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r To L
etter
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D N°
1959
-12 o
f 12-
12-2
012
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Base
line
60%
New
Base
line Y
ear
2010
-201
1So
urce
of N
ew B
aseli
neSA
EDDa
ta Ba
se: R
efer T
o Lett
er S
AED
N° 19
59-1
2 of 1
2-12
-201
2
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.4
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
28
Just
ifica
tion
for B
aseli
ne
Chan
ge (i
f any
)MC
C ha
s req
ueste
d tha
t the i
ndica
tor be
refor
mulat
ed as
a pe
rcenta
ge
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CATO
R TA
RGET
CAL
CULA
TION
STa
rget
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dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
MCC
has r
eque
sted t
hat th
e ind
icator
be re
formu
lated
as a
perce
ntage
Oct 2
010 -
Sept.
2011
0,660
%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)MC
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s req
ueste
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ndica
tor be
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rcenta
geOc
t 201
1 -Se
pt. 20
120,6
60%
Expl
anat
ion
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sum
ptio
ns an
d in
puts
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et ca
lculat
ions
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3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
MCC
has r
eque
sted t
hat th
e ind
icator
be re
formu
lated
as a
perce
ntage
Oct 2
012 -
Sept.
2013
0,660
%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)MC
C ha
s req
ueste
d tha
t the i
ndica
tor be
refor
mulat
ed as
a pe
rcenta
geOc
t 201
3 -Se
pt. 20
140,6
60%
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
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et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
MCC
has r
eque
sted t
hat th
e ind
icator
be re
formu
lated
as a
perce
ntage
Oct 2
014 -
Sept.
2015
0,770
%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsLo
ng T
erm
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get
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ifica
tion
for c
hang
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rget
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alcul
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ndica
tor be
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ed as
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ge1,5
150%
Expl
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ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
29
2.5.
Indi
cato
r IW
RM.5.
Cro
ppin
g In
tens
ity (N
galen
ka)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eCr
oppin
g Inte
nsity
(Nga
lenka
)Ve
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.5.
All P
revio
us In
dica
tor N
umbe
rsIW
RM.5.
Leve
lOu
tcome
Clas
sifica
tion
Leve
l Un
it of
Mea
sure
*Pe
rcenta
geDe
taile
d De
finiti
onTh
e cro
pping
inten
sity i
n the
Nga
lenka
irriga
ted ar
eas i
s calc
ulated
acco
rding
to th
e foll
owing
form
ula: T
otal n
umbe
r of h
ectar
es cu
ltivate
d per
year
/ Tota
l nu
mber
of cu
ltivab
le he
ctare
s. Th
e cult
ivable
land
repr
esen
ts the
all th
e lan
d tha
t can
be cu
ltivate
d. Fo
r Nga
lenka
, this
refer
s to t
he ev
entua
l 450
haco
vere
d by
the p
erim
eter,
even
durin
g yea
rs 1 –
3.Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Re
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iodDi
sagg
rega
tions
By ge
nder
(YES
/NO)
NO
By ag
e (YE
S/NO
)NO
By
inco
me (Y
ES/N
O)NO
By
loca
lity (Y
ES/N
O)NO
IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor pr
ovide
s info
rmati
on on
the a
ttainm
ent o
f the I
WRM
proje
ct ob
jectiv
e whic
h is t
o inc
reas
e agr
icultu
ral p
rodu
ction
and t
he pr
oduc
tivity
of
the ag
ricult
ural
secto
r. Th
e tre
nd of
the c
ropp
ing in
tensit
y will
cons
titute
a res
ult th
at wi
ll help
asse
ss th
e pro
gres
sion
of he
ctare
s und
er
prod
uctio
n.Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
The i
ndica
tor w
ill pr
ovide
infor
matio
n on t
he C
ropp
ing In
tensit
y, wh
ich is
the r
atio b
etwee
n the
hecta
res u
nder
prod
uctio
n/ an
d the
cultiv
able
area
s. Th
is re
lation
ship
accu
ratel
y refl
ects
the in
creas
e in p
rodu
ctivit
y and
thus
of th
e ERR
. Thu
s, the
CI w
ill be
a de
cisive
facto
r in sh
owing
the i
ncre
ase
in the
quan
tities
of w
ater a
vaila
ble an
d the
effic
iency
of th
e dra
inage
syste
m.Ho
w do
es th
e ind
icato
r lin
k to
the B
A?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct
evalu
atio
n?Th
e Imp
act e
valua
tion s
urve
y sho
ws th
e CI tr
ends
in th
e pro
cess
ing an
d tes
t zon
es. T
he da
ta ob
taine
d with
test
zone
s may
be co
mpa
red w
ith
those
obtai
ned i
n the
proc
essin
g are
as w
ith a
view
to ev
aluati
ng th
e imp
act o
f infra
struc
ture b
uilt in
the p
roce
ssing
area
s.Ju
stifi
catio
n fo
r Disa
ggre
gatio
nsNo
t App
licab
leIN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
SA
EDPo
int o
f Con
tact
Res
pons
ible
for C
ollec
ting
the D
ata
at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(in
cludin
g any
calcu
lation
s com
puted
by so
urce
)Th
e coll
ectio
n of d
ata on
the t
otal c
ultiva
ted ar
eas i
n the
irriga
ted pe
rimete
rsan
d per
seas
on(ra
iny se
ason
, dry
seas
on, h
ot dr
y se
ason
). Th
e data
colle
cted c
ome f
rom
the fo
llowi
ng so
urce
s:Sa
tellite
imag
estak
en in
the m
iddle
of the
cyc
le (fo
r diffe
rent
farmi
ng se
ason
s);Re
sults
of fie
ld su
rveys
(cond
ucted
by th
e rem
ote se
nsing
team
)an
d spe
cific
studie
s (so
cio-la
nd st
udies
)Va
rious
map
ping m
eans
reco
vere
d in d
igital
form
(soil m
aps,
draw
ing pl
ans o
f wor
ks, e
tc.);
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
30
socio
-eco
nomi
c data
base
(dev
elopm
ents
/dev
elopm
ent a
ctors)
;Da
ta on
the t
otal c
ultiva
ted ar
eas c
once
rning
the r
ainy s
easo
n is c
ollec
ted by
mobil
izing
SAE
D’s f
ield s
tructu
re, in
each
Dele
gatio
n, un
der
the re
spon
sibilit
y of th
e Mon
itorin
g-Ev
aluati
on O
ffice (
BSE)
, For
each
Dev
elopm
ent U
nit (U
MV),
the ty
pe of
crop
s and
cultiv
ated a
reas
as
well a
s the
PO
grow
ing th
em w
ill be
regis
tered
.The
colle
cted d
ata on
area
s sow
n dur
ing th
e rain
y sea
son,
after
verifi
catio
n by t
he he
ads
of se
ctors,
are e
ntere
d by t
he M
onito
ring a
nd E
valua
tion O
ffice.
Nume
rator
(1) =
total
cultiv
ated a
reas
for a
ll sea
sons
De
nomi
nator
(2) =
cultiv
able
land s
urfac
es in
theN
galen
kaCr
oppin
g Inte
nsity
= (1
) / (2
)If
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
re
spon
dent
Thes
e are
surve
y data
obtai
ned b
y SAE
D on
the t
otal c
ultiva
ted ar
eas i
n the
irriga
ted la
nd.
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om
sour
ce to
USA
CTh
e data
is tr
ansm
itted t
o SAE
D thr
ough
MCA-
S’s o
fficial
corre
spon
denc
e. Be
sides
, a m
ission
of th
e M&E
Dire
ctora
te is
sche
duled
to
meet
the M
onito
ring a
nd E
valua
tion t
eam
with
a view
to co
llecti
ng al
l raw
data
requ
ired f
or th
e calc
ulatio
n of th
e ind
icator
.Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
ANNU
AL
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nSE
AD A
nnua
l Rep
ort
Stati
stics
on cu
ltivab
le an
d cult
ivated
land
in th
e Delt
aSA
ED D
ata B
ase
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14Ma
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of
4)Re
comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?4,0
N/A
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?4,0
N/A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.5
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
31
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?4,0
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
texte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
4,0N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,7N/
A
Over
all as
sess
men
t 4,0
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re an
d meth
odolo
gy cl
arifie
d and
harm
onize
d with
SAE
DKn
own
data
limita
tions
and
signi
fican
ceNo
t App
licab
leAc
tions
take
n to
addr
ess d
ata l
imita
tions
Not A
pplic
able
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
e0,2
Old
Base
line Y
ear
2010
-201
1So
urce
of o
ld B
aseli
neSA
EDDa
ta Ba
se: R
efer T
o Lett
er S
AED
N° 19
59-1
2 of 1
2-12
-20
12
New
Base
line
20%
New
Base
line Y
ear
2010
-201
1So
urce
of N
ew B
aseli
neSA
EDDa
ta Ba
se: R
efer T
o Lett
er S
AED
N° 19
59-1
2 of 1
2-12
-20
12Ju
stifi
catio
n fo
r Bas
eline
Cha
nge
(if an
y)MC
C ha
s req
ueste
d tha
t the i
ndica
tor be
refor
mulat
ed as
a pe
rcenta
ge
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
MCC
has r
eque
sted t
hat th
e ind
icator
be re
formu
lated
as a
perce
ntage
Oct 2
010 -
Sept.
2011
0.220
%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
MCC
has r
eque
sted t
hat th
e ind
icator
be re
formu
lated
as a
perce
ntage
Oct 2
011 -
Sept.
2012
0,220
%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
MCC
has r
eque
sted t
hat th
e ind
icator
be re
formu
lated
as a
perce
ntage
Oct 2
012 -
Sept.
2013
0,00%
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)MC
C ha
s req
ueste
d tha
t the i
ndica
tor be
refor
mulat
ed as
a pe
rcenta
geOc
t 201
3 -Se
pt. 20
141.0
100%
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
32
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)MC
C ha
s req
ueste
d tha
t the i
ndica
tor be
refor
mulat
ed as
a pe
rcenta
geOc
t 201
4 -Se
pt. 20
151.2
120%
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsLo
ng T
erm
Tar
get
Old
New
Just
ifica
tion
for
chan
ges t
o ta
rget
s or
calcu
latio
ns (i
f any
)Th
is fig
ure i
s give
n by S
AED
base
d on a
gricu
ltura
l pote
ntial.
MCC
has r
eque
sted t
hat th
e ind
icator
be
refor
mulat
ed as
a pe
rcenta
geTB
D18
0%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
33
2.6.
Indi
cato
r IW
RM.6.
Tota
l are
a with
impr
oved
irrig
atio
n in
frast
ruct
ure (
Delta
and
Ngale
nka)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eTo
tal ar
ea w
ith im
prov
ed irr
igatio
n infr
astru
cture
(Delt
a and
Nga
lenka
)Ve
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.6.
All P
revio
us In
dica
tor N
umbe
rsIW
RM.6.
Leve
lOu
tcome
Clas
sifica
tion
Leve
l Un
it of
Mea
sure
*He
ctare
sDe
taile
d De
finiti
onTo
tal nu
mber
of he
ctare
s tha
t are
supp
lied w
ith co
mplet
e sys
tems f
or im
prov
ed irr
igatio
n (lan
d tha
t has
acce
ss to
irriga
tion w
ater f
lows,
has b
een p
rope
rly
levele
d)Th
e imp
rove
d irri
gatio
n are
as in
clude
thos
e tha
t wer
e alre
ady i
mpro
ved p
rior t
o the
MCC
proje
ct an
d tho
se th
at ar
e add
ed vi
a irri
gatio
n exte
nsion
s tha
t are
supp
lied b
y the
syste
m tha
t is be
ing re
habil
itated
thro
ugh t
he co
mpac
t. This
is re
porte
d by S
AED
as “s
uper
ficie
amen
agee
”.Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Re
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iodDi
sagg
rega
tions
By ge
nder
(YES
/NO)
NO
By ag
e (YE
S/NO
)NO
By
inco
me (Y
ES/N
O)NO
By
loca
lity (Y
ES/N
O)YE
S (D
elta /
Nga
lenka
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor ai
ms to
captu
re th
e obje
ctive
of th
e IW
RM pr
oject
to inc
reas
e the
land
area
that
is un
der p
rodu
ction
. The
comp
letion
of irr
igatio
n wo
rks un
der t
he pr
oject
will i
ncre
ase t
he av
ailab
ility o
f wate
r, im
prov
e dra
inage
and r
educ
e sali
nizati
on, a
nd en
cour
age t
he ex
tensio
n of im
prov
ed
irriga
tion i
nfras
tructu
re (e
ither
by ot
her o
rgan
izatio
ns or
by in
dividu
als) in
to ne
w ar
eas.
Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
The i
ndica
tor do
es no
t dire
ctly a
ffect
the ec
onom
ics, b
ut co
nstra
ins to
tal pr
oduc
tion i
n a gi
ven s
easo
n. If t
he in
dicato
r doe
s not
incre
ase o
ver t
ime,
then t
he in
creas
e in c
ultiva
tedar
ea w
ill als
o eve
ntuall
y be l
imite
d
How
does
the i
ndica
tor l
ink t
o th
e BA?
Not A
pplic
able
How
does
the i
ndica
tor l
ink t
o th
e im
pact
ev
aluat
ion?
Not a
pplic
able
Just
ifica
tion
for D
isagg
rega
tions
The d
ata sh
ould
be di
sagg
rega
ted by
loca
lity (D
elta/N
galen
ka)
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
SAE
D:Am
adou
NIA
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one
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1 22 7
2E-
Amad
ou.ni
ang@
saed
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Entit
y Res
pons
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he co
llect
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of p
rimar
y Dat
aSA
EDDe
taile
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scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(in
cludin
g any
calcu
lation
s com
puted
by so
urce
)Th
e data
will
be co
llecte
d bas
ed on
the S
IG fr
om th
e Imp
lemen
ting E
ntity
for Ir
rigati
on an
d fro
m SA
ED (in
cludin
g disa
ggre
gatio
n by
locali
ty). T
he da
ta wi
llbe t
aken
from
SAE
D’s s
tatist
ics on
the a
gricu
lture
camp
aigns
and f
rom
maps
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to
resp
onde
ntNo
t app
licab
le
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om
sour
ce to
USA
CTh
e data
are c
ommu
nicate
d via
offici
al co
rresp
onde
nce f
rom
SAED
to th
e MCA
-S. A
dditio
nally
, miss
ions b
y the
M&E
Dire
ctora
te ar
e pe
riodic
ally p
lanne
d to c
ollec
t and
verify
the d
ata pr
ovide
d by S
AED.
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
34
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nQU
ARTE
RLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nSE
AD A
nnua
l Rep
ort
Repo
rt fro
m the
PMU
-Irrig
ation
, SAE
D Ag
ricult
ural
Camp
aign S
tatist
ics, M
aps
SAED
Data
Bas
e Lo
catio
n of
Dat
a Sto
rage
SAED
INDI
CATO
R DA
TA Q
UALI
TYDa
te o
f Dat
a Qua
lity R
eview
Nove
mber
2014
Main
find
ings
of d
ata q
ualit
y rev
iew
Aver
age S
core
(o
ut of
4)Re
comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?3,8
N/A
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?4,0
N/A
3.TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?4,0
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
1,7N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
4,0N/
A
Over
all as
sess
men
t 3,6
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re an
d meth
odolo
gy cl
arifie
d and
harm
onize
d with
SAE
DKn
own
data
limita
tions
and
signi
fican
ceNo
t App
licab
le
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.6
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
35
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
34 84
8Ol
d Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f old
Bas
eline
ERR/
SAED
datab
ase
New
Base
line
34 84
8Ne
w Ba
selin
e Yea
r 20
10-2
011
Sour
ce o
f New
Bas
eline
ERR/
SAED
datab
ase
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Delta
: 34 8
02 ha
Ng
alenk
a: 46
haOc
t 201
0 -Se
pt. 20
1134
, 848
34,84
8Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
tota
rget
s or c
alcul
atio
ns (i
f any
)De
lta : 3
6495
ha
Ngale
nka:
46 ha
Oct 2
011 -
Sept.
2012
36,54
136
,541
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)De
lta : 3
7 502
ha
Ngale
nka:
52 ha
Oct 2
012 -
Sept.
2013
37,55
437
,554
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)De
lta : 3
7 941
haNg
alenk
a : 44
0 ha
Oct 2
013 -
Sept.
2014
38,38
138
,381
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)De
lta : 3
7941
ha
Ngale
nka:
440 h
aOc
t 201
4 -Se
pt. 20
1538
,381
38,38
1Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r ch
ange
s to
targ
ets o
r ca
lculat
ions
(if a
ny)
42,72
142
,721
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
ns
COMM
ENTS
This
indica
tor re
place
s the
form
er “P
otenti
ally I
rriga
ble La
nd A
rea (
Delta
/Nga
lenka
)” be
caus
e, as
the f
orme
r had
been
colle
cted i
n pra
ctice
by S
AED,
it wa
s no
t goin
g to a
llow
us to
see a
ny ch
ange
over
time.
This
indic
ator p
rovid
es a
bette
r app
recia
tion o
f the i
ncre
ase i
n imp
rove
d irri
gatio
n as a
resu
ltof C
ompa
ct inv
estm
ents.
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
36
2.7.
Indi
cato
r IW
RM. 7
. Hec
tare
s und
er p
rodu
ctio
n ac
ross
crop
ping
seas
ons(
Delta
/ Nga
lenka
)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eHe
ctare
s und
er pr
oduc
tion a
cross
crop
ping s
easo
ns(D
elta /
Nga
lenka
)Ve
rsio
nN°
02 03
/Sep
t201
5Co
mm
on In
dica
tor N
umbe
rNo
t App
licab
leCu
rrent
Indi
cato
r Num
ber
IWRM
.7Al
l Pre
vious
Indi
cato
r Num
bers
IWRM
.8.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Hecta
res
Deta
iled
Defin
ition
Total
numb
er of
hecta
res d
evote
d to a
gricu
ltura
l pro
ducti
on w
ith th
e irri
gatio
n and
drain
age s
ystem
s sup
porte
d by t
he M
CC in
the D
elta a
nd N
galen
ka.
Each
hecta
re w
ill be
coun
ted on
ce fo
r eac
h cro
pping
seas
on in
whic
h it is
unde
r pro
ducti
on (t
hus,
the sa
me he
ctare
could
be co
unted
up to
thre
e tim
es pe
r ye
ar)
Freq
uenc
y of R
epor
ting
ANNU
AL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By ag
e (YE
S/NO
)NO
By
inco
me (Y
ES/N
O)NO
By
loca
lity (Y
ES/N
O)YE
S (D
elta /
Nga
lenka
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor pr
ovide
s info
rmati
on on
the a
ttainm
ent o
f the I
WRM
proje
ct ob
jectiv
e, wh
ich is
to in
creas
e hec
tares
unde
r pro
ducti
on. T
he
deve
lopme
nt of
hecta
res u
nder
prod
uctio
n in t
he irr
igated
area
s will
cons
titute
a res
ult th
at wi
ll help
asse
ss th
e pro
gres
sion
of cro
pping
int
ensit
y.Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
It is o
n the
basis
of th
e Hec
tares
unde
r pro
ducti
on as
sump
tions
(i.e.,
total
cultiv
ated a
rea a
cross
seas
ons),
whic
h wer
e cap
tured
in th
e ec
onom
ic mo
del.)
How
does
the i
ndica
tor l
ink t
o th
e BA?
Not A
pplic
able
How
does
the i
ndica
tor l
ink t
o th
e im
pact
ev
aluat
ion?
Not A
pplic
able
Just
ifica
tion
for D
isagg
rega
tions
The d
ata sh
ould
be di
sagg
rega
ted by
loca
lity.
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
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LIABI
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2015
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6. AP
PROP
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ENES
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tly co
llecte
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2.8.
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-S’s
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al co
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onde
nce.
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es, a
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&E D
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rate
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hedu
led to
mee
t the M
onito
ring a
nd E
valua
tion t
eam
with
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to co
llecti
ng al
l raw
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or th
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n of th
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m C
halle
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égal
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CA
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dum
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e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
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2015
41
Nam
es o
f ver
ifica
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sour
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ase
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ata S
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INDI
CATO
R DA
TA Q
UALI
TYDa
te o
f Dat
a Qua
lity R
eview
Nove
mber
2014
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?3,7
N/A
2.RE
LIABI
LITY
–Are
the d
ata co
llecti
on
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
4,0N/
A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?4,0
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
4,0N/
A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
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Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
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CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
42
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,7
N/A
Over
all as
sess
men
t 3,9
Actio
n ta
ken
inre
spon
se to
dat
a qua
lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Not A
pplic
able
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ns ta
ken
to ad
dres
s dat
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itatio
nsNo
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targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
65N/
A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
43
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
NB : M
easu
reme
nts fo
r the
base
line y
ear m
ade i
n 12th
March
, 201
2(Re
fer To
"Rap
port
mesu
re de
débit
du 12
Mar
s 201
2"SA
ED, m
ars 2
012)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
44
2.9.
Indi
cato
r IW
RM.9.
Num
ber o
f hec
tare
s for
mali
zed
(hav
ing
a lan
d all
ocat
ion
title
and
regi
ster
ed)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eNu
mber
of he
ctare
s for
maliz
ed (h
aving
a lan
d allo
catio
n title
and r
egist
ered
)Ve
rsio
nN°
03 /S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.9
All P
revio
us In
dica
tor N
umbe
rsIW
RM.10
.Le
vel
Outco
meCl
assif
icatio
nCu
mulat
iveUn
it of
Mea
sure
Hecta
res
Deta
iled
Defin
ition
Numb
er of
hecta
res o
f rur
al lan
d tha
t wer
e offic
ially
reco
gnize
d thr
ough
the i
ssua
nce o
f a la
nd al
locati
on tit
le by
the L
ocal
Autho
rities
in th
e pro
ject’s
int
erve
ntion
area
s. Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By
age (
YES/
NO)
NO
By in
come
(YES
/NO)
NO
By lo
cality
(YES
/NO)
YES
(Delt
a / P
odor
)Co
mm
ents
abou
t the
Di
sagg
rega
tion
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
Just
ifica
tion
for I
nclu
ding
Indi
cato
rLa
nd te
nure
secu
rity ac
tivitie
s will
help
ensu
re ne
w all
ocati
ons o
r the
regu
lariza
tion o
f exis
ting o
nes a
nd of
their
regis
tratio
n. Th
e reg
istra
tion o
f plot
s wi
ll thu
s imp
rove
land
man
agem
ent a
nd, in
partic
ular, t
o for
maliz
e lan
d use
rights
.Ho
w do
es th
e ind
icato
r lin
k to
the
ERR?
Not A
pplic
able
How
does
the i
ndica
tor l
ink t
o th
e BA?
The i
ndica
tor in
dicate
s the
numb
er of
bene
ficiar
ies of
new
alloc
ation
s or r
egula
rizati
ons f
or th
e lan
d ten
ure s
ecur
ity ac
tivity
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?No
t App
licab
le
Just
ifica
tion
for D
isagg
rega
tions
The i
ndica
tor w
ill be
disa
ggre
gated
by lo
cality
(Delt
a / P
odor
)IN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
SA
EDPo
int o
f Con
tact
Res
pons
ible
for C
ollec
ting
the D
ata a
t SA
ED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding
any c
alcula
tions
comp
uted b
y sou
rce)
Use r
epor
ts of
the P
MU Ir
rigati
on, o
f the C
onsu
ltant
resp
onsib
le for
land
tenu
re se
curity
. Co
untin
g on t
he ba
sis of
land
regis
ters a
nd la
nd al
locati
on tit
les is
sued
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
The d
ata is
tran
smitte
d byt
he La
nd an
d Ins
titutio
nal R
eform
s Dire
ctora
te
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nQU
ARTE
RLY
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
45
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nF&
RI D
irecto
rate
Repo
rt F&
RI D
irecto
rate
Loca
l Gov
ernm
ents
Land
Reg
ister
s (Lo
cal G
over
nmen
ts)Lo
catio
n of
Dat
a Sto
rage
USAC
(Lan
d and
Insti
tution
al Re
forms
Dire
ctora
te)
INDI
CATO
R DA
TA Q
UALI
TYDa
te o
f Dat
a Qua
lity R
eview
Nove
mber
2014
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns1.
VALID
ITY
–Doe
s the
data
clear
ly re
pres
ent th
e des
ired
resu
lts?
3,6
None
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
stab
le an
d con
sisten
t ove
r tim
e?3,6
None
3.TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?3,7
None
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of
erro
r?4,0
None
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
None
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.9
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
46
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors
fully
portr
ay th
e res
ults?
4,0No
ne
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
4,0No
ne
Over
all as
sess
men
t 3,8
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
NotA
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
NotA
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
tApp
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
0Ol
d Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f old
Bas
eline
F&RI
Dire
ctora
teW
ork P
lanNe
w Ba
selin
e0
New
Base
line Y
ear
2010
-201
1So
urce
of N
ew B
aseli
neF&
RI D
irecto
rate
Wor
k Plan
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
120
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
3 -Se
pt. 20
1474
874
8Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
Podo
r (Ng
alenk
a):4
40 ha
et De
lta:3
08 ha
.
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
3 440
3 440
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsInc
ludes
Delta
(300
0 ha)
and P
odor
/Nga
lenka
(440
ha)
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
N/A
N/A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
47
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsCO
MMEN
TSSU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
48
2.10.
Indi
cato
r IW
RM.10
. Per
cent
age o
f lan
ddi
sput
es re
solve
d
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
ePe
rcenta
ge of
land
dispu
tes re
solve
dVe
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.10
All P
revio
us In
dica
tor N
umbe
rsIW
RM.11
.Le
vel
Outco
meCl
assif
icatio
nLe
vel (C
umula
tive)
Unit
of M
easu
rePe
rcenta
geDe
taile
d De
finiti
onRa
tio of
land
disp
utes r
esolv
ed at
the l
evel
of lan
d disp
ute re
solut
ion co
mmiss
ions,
media
tion a
nd la
nd se
ttleme
nt co
mmiss
ions i
n the
town
or m
unici
pal
coun
cil, fo
r all o
f the l
and d
ispute
s reg
ister
ed by
thes
e lan
d con
flict r
esolu
tion b
odies
.
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iodDi
sagg
rega
tions
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NO
By in
come
(YES
/NO)
NO
By lo
cality
(YES
/NO)
YES
(Delt
a / P
odor
)Co
mm
ents
abou
t the
Disa
ggre
gatio
nIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The "
Land
Tenu
re S
ecur
ity" a
ctivit
y will
help
institu
te an
d stre
ngthe
n the
capa
cities
of m
ediat
ion bo
dies.
It will
also p
ut in
place
dis
pute
mana
geme
nt ins
trume
nts. T
his in
dicato
r will
help
meas
ure t
he sc
ope o
f instr
umen
ts pu
t in pl
ace a
nd ac
tivitie
s co
verin
g the
bodie
s by a
sses
sing w
hethe
r disp
utes a
re re
solve
d or n
ot; in
acco
rdan
ce w
ith th
e reg
ulator
y pro
vision
s in f
orce
.Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
Not A
pplic
able
How
does
the i
ndica
tor l
ink t
o th
e BA?
Not A
pplic
able
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?No
t App
licab
leJu
stifi
catio
n fo
r Disa
ggre
gatio
nsTh
e ind
icator
will
be di
sagg
rega
ted by
loca
lity (D
elta /
Pod
or)
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding a
ny
calcu
lation
s com
puted
by so
urce
)Co
llecti
ng da
ta on
disp
utes o
n the
basis
of re
gister
s man
aged
by th
e con
sulta
nt an
d com
miss
ions r
espo
nsibl
e for
disp
ute re
solut
ion.
“Per
centa
ge of
land
disp
utes r
esolv
ed”=
(Num
ber o
f disp
utes r
esolv
ed) x
100 /
(Num
ber o
f disp
utes
regis
tered
). If
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
resp
onde
ntNo
t App
licab
leDe
taile
d de
scrip
tion
of h
ow d
ata i
s tra
nsm
itted
from
sour
ce to
USA
CTh
e data
is tr
ansm
itted b
y the
Land
and I
nstitu
tiona
l Refo
rms D
irecto
rate
Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
QUAR
TERL
YNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
F&RI
Dire
ctora
te Re
port
F&RI
Dire
ctora
te Lo
cal G
over
nmen
tsLa
nd R
egist
ers (
Loca
l Gov
ernm
ents)
F&RI
Dire
ctora
te Di
spute
mon
itorin
g she
et
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
49
Loca
tion
of D
ata S
tora
geUS
AC(L
and a
nd In
stitut
ional
Refor
ms D
irecto
rate)
IN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewJu
ne 20
13Ma
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of
4)Re
comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d re
sults
?3,6
N/A
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?4,0
N/A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?3,2
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?3,0
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
2,4N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
2,7N/
A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.10
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onito
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luat
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n–V
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° 03
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50
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égal
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CA
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égal
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Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
51
Mille
nniu
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Acc
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CA
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Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
52
2.11.
Indi
cato
r IW
RM.11
.Con
flict
s suc
cess
fully
med
iated
INDI
CATO
R BA
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eCo
nflict
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cess
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media
tedVe
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ept2
015
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IWRM
.11Al
l Pre
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Indi
cato
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mbe
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RM.19
/IWRM
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lOu
tput
Clas
sifica
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Cumu
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Unit
of M
easu
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erDe
taile
d De
finiti
onTh
e num
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uted l
and a
nd pr
oper
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ses t
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ave b
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r cou
rts w
ith co
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porti
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sagg
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(YES
/NO)
NOBy
age (
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inco
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ES/N
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cality
(YES
/NO)
YES
(Delt
a / P
odor
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DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
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r Inc
ludi
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dica
tor
It is a
n ind
icator
prop
osed
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of co
mmon
indic
ators.
See
"Guid
ance
on C
ommo
n Ind
icator
, May
2012
" MCC
. The
indic
atorw
ill he
lp as
sess
thee
fficien
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disp
ute re
solut
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dies,
which
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rece
ived l
and m
anag
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and b
enefi
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ities.
How
does
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o th
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?No
t App
licab
leHo
w do
es th
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icato
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k to
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A?Di
spute
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vestm
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area
sHo
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aluat
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ifica
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odor
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PLAN
Entit
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égal
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oran
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e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
53
PMU
Irriga
tion R
epor
tsTa
bles o
f indic
ators
and r
egist
er
Loca
tion
of D
ata S
tora
geLa
nd an
d Ins
titutio
nal R
eform
s Dire
ctora
te IN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
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iewN/
AMa
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of
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comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
2,42.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,63.
TIME
LINES
S-Ar
e the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,2
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of er
ror?
3,05.
INTE
GRIT
Y-Is
the da
ta fre
e fro
m ma
nipula
tion?
2,06.
APPR
OPRI
ATEN
ESS
–To w
hat e
xtent
do th
e ind
icator
s full
y por
tray t
he re
sults
?3,9
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
Over
all as
sess
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t 3,1
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ken
in re
spon
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lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
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pplic
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Actio
ns ta
ken
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nsNo
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TOR
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LINE
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égal
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CA
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dum
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onito
ring
and
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luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
54
Just
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tion
for B
aseli
ne C
hang
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CATO
R TA
RGET
CAL
CULA
TION
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1Ol
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wJu
stifi
catio
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targ
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Oct 2
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2011
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N/A
Expl
anat
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sum
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puts
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Oct 2
011 -
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Expl
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puts
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YEAR
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Oct 2
013 -
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N/A
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Expl
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puts
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Oct 2
014 -
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N/A
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Expl
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puts
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arge
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Expl
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puts
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COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
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CA
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égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
55
2.12.
Indi
cato
r IW
RM.12
.Par
cels
corre
cted
or i
ncor
pora
ted
in la
nd sy
stem
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
ePa
rcels
corre
cted o
r inco
rpor
ated i
n lan
d sys
temVe
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
(L-5
)Cu
rrent
Indi
cato
r Num
ber
IWRM
.12Al
l Pre
vious
Indi
cato
r Num
bers
IWRM
.20/IW
RM.18
Leve
lOu
tput
Clas
sifica
tion
Cumu
lative
Unit
of M
easu
rePa
rcels
Deta
iled
Defin
ition
The n
umbe
r of p
arce
ls wi
th re
levan
t par
cel in
forma
tion c
orre
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r new
ly inc
orpo
rated
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an of
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land
infor
matio
n sys
tem(w
hethe
r a sy
stem
for
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oper
ty re
gistry
, cad
aster
or an
integ
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syste
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eque
ncy o
f Rep
ortin
gAN
NUAL
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rting
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ggre
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gend
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ES/N
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S/NO
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come
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/NO)
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loca
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S (D
elta /
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CATO
R JU
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ILS
Just
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nclu
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s ani
ndica
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opos
ed on
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on in
dicato
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ee "G
uidan
ce on
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ndica
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ay 20
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CC. T
he
indica
tor w
ill dis
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R AC
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ARTE
RLY
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ifica
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ces
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port
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egist
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rt Co
nsult
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nd te
nure
secu
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Table
s of in
dicato
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PM
U Irr
igatio
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orts
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s of in
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ister
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
56
Loca
tion
of D
ata S
tora
geLa
nd an
d Ins
titutio
nal R
eform
s Dire
ctora
te IN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewN/
AMa
in fi
ndin
gs o
f dat
a qua
lity r
eview
Aver
age S
core
(o
ut of
4)Re
comm
enda
tions
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
3,6N/
A2.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,6N/
A3.
TIME
LINES
S-Ar
e the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,5
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of er
ror?
4,0N/
A5.
INTE
GRIT
Y-Is
the da
ta fre
e fro
m ma
nipula
tion?
4,0N/
A6.
APPR
OPRI
ATEN
ESS
–To w
hat e
xtent
do th
e ind
icator
s full
y por
tray t
he re
sults
?4,0
N/A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
N/A
Over
all as
sess
men
t 3,8
Actio
nta
ken
in re
spon
se to
dat
a qua
lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Not A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
0Ol
d Ba
selin
e Yea
r20
11-2
012
Sour
ce o
fold
Bas
eline
DFRI
Wor
k Plan
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
11-2
012
Sour
ce o
f New
Bas
eline
DFRI
Wor
k Plan
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilit
e
IWRM
.12
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
57
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
rcalc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions YE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
120
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
ns YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
5 694
5 694
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
This
includ
es : D
elta (
5520
parce
ls)an
dPod
or in
cludin
g 17
4 par
cels
in Ng
alenk
a
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
5 787
5 787
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
This
includ
es: D
elta (
5580
parce
ls)an
dPod
or (2
07 pa
rcels)
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
5 787
5 787
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
Note:
For N
galen
ka(P
odor
), 17
4 plot
s are
curre
ntly o
ccup
ied by
EIG
affec
ted by
the p
rojec
t (PA
Ps).
The r
emain
ing ar
ea, i.
e. ab
out 3
66 ha
will
be su
bdivi
ded i
nto 33
deve
lopme
nt un
its di
stribu
ted am
ong 3
3 EIG
s. Fo
r the
Delt
a, 55
20 pl
ots ar
e cur
rentl
y sur
veye
d and
integ
rated
into
the
land d
ata ba
se. In
this
part,
new
alloc
ation
s of a
bout
3000
ha, i.
e. ab
out 6
0plot
s of 5
0 ha a
re en
visag
ed be
caus
e the
zone
is p
rimar
ily m
eant
to be
occu
pied b
y far
mer o
rgan
izatio
ns w
hich f
arm
arou
nd la
rge a
reas
(majo
r dev
elopm
ent a
ctivit
ies).
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
58
2.13.
Indi
cato
r IW
RM.13
.Lan
d rig
hts f
orm
alize
d
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eLa
nd rig
hts fo
rmali
zed
Vers
ion
N° 03
/Sep
t201
5Co
mm
on In
dica
tor
Num
ber
(L-6
)Cu
rrent
Indi
cato
rNum
ber
IWRM
.13Al
l Pre
vious
Indi
cato
r Num
bers
IWRM
.21/IW
RM.19
Leve
lOu
tput
Clas
sifica
tion
Cumu
lative
Unit
of M
easu
reNu
mber
Deta
iled
Defin
ition
The n
umbe
r of h
ouse
hold,
comm
ercia
l and
othe
r lega
l enti
ties (
e.g. N
GOs,
chur
ches
, hos
pitals
) rec
eiving
form
al re
cogn
ition o
fown
ersh
ip an
d/or u
se rig
hts
throu
gh ce
rtifica
tes, ti
tles,
lease
s, or
othe
r rec
orde
d doc
umen
tation
by go
vern
ment
institu
tions
or tr
aditio
nal a
uthor
ities a
t nati
onal
or lo
cal le
vels.
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iodDi
sagg
rega
tions
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
YES
(Delt
a / P
odor
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor m
akes
it po
ssibl
e to e
nume
rate
the nu
mber
of ho
useh
olds b
y loc
ality
that h
ave b
enefi
tted f
rom
the fo
rmal
reco
gnitio
n of
owne
rship
rights
and/o
r the
use o
f cer
tifica
tes, ti
tles,
lease
s or o
ther d
ocum
ents
regis
tered
with
gove
rnme
nt or
loca
l insti
tution
s or
tradit
ional
autho
rities
with
the s
uppo
rt of
bodie
s stre
ngthe
ned b
y the
proje
ct.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the B
A?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct
evalu
atio
n?No
t App
licab
le
Just
ifica
tion
for D
isagg
rega
tions
The d
ata w
ill be
pres
ented
by lo
cality
(Delt
a / P
odor
)IN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
SA
EDPo
int o
f Con
tact
Res
pons
ible
for C
ollec
ting
the D
ata
at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(in
cludin
g any
calcu
lation
s com
puted
by so
urce
)Co
unt th
e num
ber o
f hou
seho
lds th
at ha
ve be
nefitt
ed fr
om th
e for
mal re
cogn
ition o
f own
ersh
ip rig
hts an
d/or t
he us
e of
certif
icates
, title
s, lea
ses o
r othe
r doc
umen
ts.
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to
resp
onde
ntNo
t App
licab
le
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om
sour
ce to
USA
CTh
e data
is tr
ansm
itted b
y the
Land
and I
nstitu
tiona
l Refo
rms D
irecto
rate
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nQU
ARTE
RLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nRe
port
F&RI
Dire
ctora
teTa
bles o
f indic
ators
and r
egist
er
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
59
Repo
rt Co
nsult
ant in
char
ge of
imple
menti
ng la
nd te
nure
secu
rity
Table
s of in
dicato
rs an
d reg
ister
PM
U Irr
igatio
n Rep
orts
Table
s of in
dicato
rs an
d reg
ister
Lo
catio
n of
Dat
a Sto
rage
Land
and I
nstitu
tiona
l Refo
rms D
irecto
rate
INDI
CATO
R DA
TA Q
UALI
TYDa
te o
f Dat
a Qua
lity R
eview
N/A
Main
find
ings
of d
ataq
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
3,6N/
A
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
stab
le an
d con
sisten
t ov
er tim
e?3,6
N/A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
colle
cted?
3,7N/
A4.
PREC
ISIO
N –D
oes t
he da
ta ha
ve an
acce
ptable
mar
gin of
erro
r?4,0
N/A
5.IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors f
ully p
ortra
y the
re
sults
?4,0
N/A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
N/A
Over
all as
sess
men
t 3,8
Actio
nta
ken
in re
spon
se to
dat
a qua
lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Not A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
0Ol
d Ba
selin
e Yea
r20
11-2
012
Sour
ce o
fold
Bas
eline
DFRI
Wor
k Plan
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
11-2
012
Sour
ce o
f New
Bas
eline
DFRI
Wor
k Plan
Just
ifica
tion
for
Base
line C
hang
e (if
any)
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.13
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
60
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
00
Expl
anat
ion
of as
sum
ptio
nsan
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
600
600
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
2500
2500
Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
ta
rget
calcu
latio
nsLo
ng T
erm
Tar
get
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)25
0025
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
YDO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
61
2.14.
Indi
cato
r IW
RM.14
. Num
ber o
f lan
d m
anag
emen
t com
mitt
ees a
nd co
mm
issio
ns se
t up
or im
prov
ed u
pon
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eNu
mber
of la
nd m
anag
emen
t com
mitte
es an
d com
miss
ions s
et up
or
impr
oved
upon
. Ve
rsio
nN°
03 /S
ept2
015
Com
mon
Indi
cato
r Num
ber
Not A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.14
All P
revio
us In
dica
tor N
umbe
rsIW
RM.23
. / IW
RM.31
/IW
RM.30
.Le
vel
Outpu
tCl
assif
icatio
nCu
mulat
iveUn
it of
Mea
sure
*Nu
mber
Deta
iled
Defin
ition
Coun
t the n
umbe
rofte
chnic
al co
mmitte
es in
supp
ort o
f land
tenu
re se
curity
and
dispu
te me
diatio
n com
miss
ions s
et up
by pr
efectu
ralo
rder
Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By ag
e (YE
S/NO
)NO
By in
come
(YES
/NO)
NOBy
loca
lity (Y
ES/N
O)NO
INDI
CATO
R JU
STIF
ICAT
ION
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ILS
Just
ifica
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for I
nclu
ding
Indi
cato
rTe
chnic
al co
mmitte
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supp
ort o
f land
tenu
re se
curity
and d
ispute
med
iation
comm
ission
s are
set u
p in t
he di
ffere
nt Lo
cal
Comm
unitie
s to f
acilit
ate th
e imp
lemen
tation
of la
nd te
nure
secu
rity ac
tivitie
s. Th
ese c
ommi
ttees
take
a ve
ry ac
tive p
art in
train
ing
and m
ediat
ion ac
tivitie
s but
espe
cially
in th
e allo
catio
n of la
nd in
their
loca
l com
munit
ies.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the B
A?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct ev
aluat
ion?
Not A
pplic
able
Just
ifica
tion
for D
isagg
rega
tions
Not A
pplic
able
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
SAED
:Am
adou
NI
ANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(in
cludin
g any
calcu
lation
s com
puted
by so
urce
)Co
unt th
e num
ber o
f com
mitte
es an
d com
miss
ions s
uppo
rted b
y the
cons
ultan
t in ch
arge
of im
pleme
nting
land
tenu
re se
curity
in
the Ir
rigati
on P
rojec
t zon
eIf
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
resp
onde
ntNo
t App
licab
leDe
taile
d de
scrip
tion
of h
ow d
ata i
s tra
nsm
itted
from
sour
ce
toUS
ACTh
e data
is tr
ansm
itted b
y the
Con
sulta
nt re
spon
sible
for im
pleme
nting
land
tenu
re se
curity
thro
ugh t
he D
FRI fo
rm
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nAN
NUAL
Na
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
Repo
rt of
the c
onsu
ltant
in ch
arge
of im
pleme
nting
land
tenu
re se
curity
Pr
efectu
ral O
rder
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
62
PMU
Irriga
tion R
epor
tsTa
ble of
indic
ators
DFRI
Rep
ort
Table
of in
dicato
rsLo
catio
n of
Dat
a Sto
rage
Land
and I
nstitu
tiona
l Refo
rms D
irecto
rate
INDI
CATO
R DA
TA Q
UALI
TYDa
te o
f Dat
a Qua
lity R
eview
N/A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 3)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
4,0N/
A2.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es st
able
and c
onsis
tent o
ver
time?
3,5N/
A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
colle
cted?
4,0N/
A4.
PREC
ISIO
N –D
oes t
he da
ta ha
ve an
acce
ptable
mar
gin of
erro
r?4,0
N/A
5.IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors f
ully p
ortra
y the
re
sults
?4,0
N/A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
N/A
Over
all as
sess
men
t 3,9
Actio
nta
ken
in re
spon
se to
dat
a qua
lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Not A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
0Ol
d Ba
selin
e Yea
r20
10-2
011
Sour
ce o
fold
Bas
eline
Comp
act,i
nitial
sour
ce no
t ava
ilable
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
10-2
011
Sour
ce o
f New
Bas
eline
Wor
kPlan
of th
e FRI
Dire
ctora
teJu
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
.14
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
63
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
19
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions YE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt.20
129
9Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
ns YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
99
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions YE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
3 -Se
pt. 20
149
9Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
ns YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
99
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
64
2.15.
Indi
cato
r IW
RM.15
.Tot
al len
gth
of m
ain d
rain
age c
anals
and
outfa
lls s
ervic
ed (r
aked
and/
or cl
eane
d ou
t) an
nuall
y
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eTo
tal le
ngth
ofma
in dr
ainag
e can
als an
d outf
alls s
ervic
ed (r
aked
and/o
r cle
aned
out)
annu
ally
Vers
ion
N° 04
/Oct.
2015
Com
mon
Indi
cato
r Num
ber
Non A
pplic
able
Curre
nt In
dica
tor N
umbe
rIW
RM.15
.Al
l Pre
vious
Indi
cato
r Num
bers
New
Indica
torNi
veau
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
KmDe
taile
d De
finiti
onMe
surin
g of th
e num
ber o
f kilo
meter
s of d
raina
ge ca
nals
rake
d (we
eded
out)
and c
leane
d out
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iodDi
sagg
rega
tions
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
YES
(Delt
a / N
galen
ka)
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
prov
ides i
nform
ation
on th
e ach
ievem
ent o
f the o
bjecti
ve of
the I
WRM
proje
ct wh
ich is
to in
creas
e agr
icultu
ral p
rodu
ction
and
prod
uctiv
ity in
the a
gricu
ltura
l sec
tor. In
deed
, main
tainin
g up t
o par
infra
struc
tures
and c
anals
and d
rains
func
tiona
lity by
weed
s and
leafs
rakin
g an
d clea
ning i
t out
will g
reatl
y con
tribute
in th
e effe
ctive
ness
of th
e wate
r infra
struc
ture a
nd th
us w
ill inc
reas
e pro
ducti
vity a
nd ag
ricult
ural
prod
uctio
n in t
he D
elta a
nd th
e Nga
lenka
regio
n.Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
The i
ndica
tor w
ill pr
ovide
infor
matio
n on w
eeds
and l
eafs
rakin
g and
the o
vera
ll clea
ning a
ctivit
ies de
velop
ed in
orde
r to m
aintai
n the
optim
al fun
ction
ing of
the c
anals
and d
rains
. The
indic
ator a
cts th
usly
as a
factor
in as
sess
ing th
e sus
taina
bility
of th
e inv
estm
ents
made
to en
sure
av
ailab
ility o
f wate
r in th
e plot
s of a
gricu
ltura
l pro
ducti
on.
How
does
the i
ndica
tor l
ink t
o th
e BA?
Maint
enan
ce w
orks
on th
e can
als an
d dra
ins w
ill he
lp pr
ovide
stea
dy su
pply
of dr
aining
wate
r for
the b
enefi
ciarie
s.
How
does
the i
ndica
tor l
ink t
o th
e im
pact
ev
aluat
ion?
N/A
Just
ifica
tion
for D
isagg
rega
tions
The d
ata w
ill be
disa
ggre
gated
by ar
ea(D
elta e
t Nga
lenka
).
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding
any c
alcula
tions
comp
uted b
y sou
rce)
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nYE
ARLY
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
65
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nMi
ssion
Rep
orts
from
DAM
(Dire
ction
Auto
nome
de la
Ma
inten
ance
)W
orks
contr
acted
shee
ts
Final
repo
rts an
d Minu
tes of
wor
ks re
cepti
onFin
al re
ports
and M
inutes
of w
orks
rece
ption
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewOc
tober
2015
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sc
ore (
on a
scale
of 3)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s don
nées
so
nt-ell
es st
ables
et co
nsist
antes
dans
le te
mps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s actu
elles
et
fréqu
emme
nt co
llecté
es?
TBD
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
manip
ulatio
ns?
TBD
- 1.0
2.0
3.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
. 15
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
66
6. AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
indic
ateur
s ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles a
ctuell
es
et fré
quem
ment
colle
ctées
?TB
D
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity
revie
wKn
own
data
limita
tions
and
signi
fican
ceAc
tions
take
n to
addr
ess d
ata l
imita
tions
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
eN/
AOl
d Ba
selin
e Yea
rN/
ASo
urce
of o
ld B
aseli
neNe
w Ba
selin
e11
6Ne
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neSA
ED da
tabas
eJu
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f an
y)Oc
t 201
0 -Se
pt. 20
11N/
AN/
A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if
any)
Oct 2
011 -
Sept.
2012
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if
any)
Oct 2
012 -
Sept.
2013
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if
any)
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if
any)
Oct 2
014 -
Sept.
2015
N/A
N/A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
67
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
Post
-Com
pact
Targ
etOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if
any)
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
68
2.16.
Indi
cato
rIW
RM.16
. Num
ber o
f pum
psse
rvice
d an
nuall
y
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eNu
mber
of pu
mpss
ervic
ed an
nuall
yVe
rsio
nN°
04/O
ct.20
15Co
mm
on In
dica
tor N
umbe
rNo
n App
licab
leCu
rrent
Indi
cato
r Num
ber
IWRM
.16.
All P
revio
us In
dica
tor N
umbe
rsNe
w Ind
icator
Nive
auOu
tcome
Clas
sifica
tion
Leve
lUn
it of
Mea
sure
*Nu
mber
Deta
iled
Defin
ition
Meas
uring
of th
e num
ber o
f ser
viced
pump
ing eq
uipme
ntFr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
nsBy
gend
er (Y
ES/N
O)NO
By ag
e (YE
S/NO
)NO
By in
come
(YES
/NO)
NOBy
loca
lity (Y
ES/N
O)YE
S(D
elta /
Nga
lenka
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor pr
ovide
s info
rmati
on on
the a
chiev
emen
t of th
e obje
ctive
of th
e IW
RM pr
oject
which
is to
incre
ase a
gricu
ltura
l pro
ducti
on
and p
rodu
ctivit
y in t
he ag
ricult
ural
secto
r. Ind
eed,
the nu
mber
of pu
mping
equip
ment
servi
ced w
ill gr
eatly
contr
ibute
to the
effic
iency
of
the hy
drau
lic in
frastr
uctur
es an
d thu
s inc
reas
e pro
ducti
vity a
nd ag
ricult
ural
prod
uctio
n in t
he D
elta a
nd th
e Nga
lenka
regio
n.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?Th
e ind
icator
will
prov
ide in
forma
tion o
n the
activ
ities r
elated
to th
e ser
vicing
of pu
mping
equip
ments
whic
h ens
ures
oper
ation
nality
of th
e can
alsan
d dra
ins. T
he in
dicato
r is an
asse
ssme
nt too
l for t
he su
staina
bility
of th
e inv
estm
ents
made
for w
ater a
vaila
bility
in ag
ricult
ural
prod
uctio
n plot
s.Ho
w do
es th
e ind
icato
r lin
k to
the B
A?Th
e ser
vicing
wor
ks on
the c
anals
and d
rains
help
ensu
re an
optim
al op
erati
on of
the w
ater in
frastr
uctur
e for
the b
enefi
ciarie
s.
How
does
the i
ndica
tor l
ink t
o th
e im
pact
ev
aluat
ion?
N/A
Just
ifica
tion
for D
isagg
rega
tions
The d
ata w
ill be
disa
ggre
gated
by ar
ea(D
elta e
t Nga
lenka
).
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
SAED
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at S
AED:
Amad
ou N
IANG
Phon
e77
511 2
2 72
E-m
ailAm
adou
.nian
g@sa
ed.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aSA
EDDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding
any c
alcula
tions
comp
uted b
y sou
rce)
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nYE
ARLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nRa
ppor
ts de
miss
ions d
e la D
AMFin
al re
ports
and M
inutes
of w
orks
rece
ption
Final
repo
rts an
d Minu
tes of
wor
ks re
cepti
on
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
69
Wor
ks co
ntrac
ted sh
eets
Loca
tion
of D
ata S
tora
geSA
EDIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewOc
tober
2015
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of
3)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s don
nées
so
nt-ell
es st
ables
et co
nsist
antes
dans
le te
mps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s actu
elles
et
fréqu
emme
nt co
llecté
es?
TBD
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
manip
ulatio
ns?
TBD
6. AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
indic
ateur
s ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
- 1.0
2.0
3.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
IWRM
. 16
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
70
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles a
ctuell
es
et fré
quem
ment
colle
ctées
?TB
D
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity
revie
wKn
own
data
limita
tions
and
signi
fican
ceAc
tions
take
n to
addr
ess d
ata l
imita
tions
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
eN/
AOl
d Ba
selin
e Yea
rN/
ASo
urce
of o
ld B
aseli
neNe
w Ba
selin
e11
5Ne
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neSA
ED D
ataba
seJu
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
12N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
2 -Se
pt. 20
13N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
3 -Se
pt. 20
14N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
4 -Se
pt.20
15N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et
calcu
latio
ns
Post
-Com
pact
Targ
etOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
ca
lculat
ions
COMM
ENTS
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
71
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
72
3.Pe
rform
ance
indi
cato
rs an
d ta
rget
s of t
he R
oads
Reh
abilit
atio
n Pr
ojec
tRoad
s Reh
abilit
atio
n Pr
ojec
t
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
73
3.1.
Indi
cato
r RRP
.1. A
vera
ge an
nual
daily
traf
fic (A
ADT)
Rich
ard-
Toll –
Ndio
um
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eAv
erag
e ann
ual d
aily t
raffic
(AAD
T) R
ichar
d-To
ll –Nd
ioum
Vers
ion
N° 03
/Sep
t201
5Co
mm
on In
dica
tor N
umbe
rR-
10Cu
rrent
Indi
cato
r Num
ber
RRP.
1.Al
l Pre
vious
Indi
cato
r Num
bers
RRP.
1.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Numb
er
Deta
iled
Defin
ition
The a
vera
ge nu
mber
and t
ype o
f veh
icles
per d
ay, a
vera
ged o
ver d
iffere
nt tim
es (d
ay an
d nigh
t) an
d ove
r diffe
rent
seas
ons t
o arri
ve at
an an
nuali
zed d
aily
aver
age
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
RN2R
ichar
d Toll
-Nd
ioum
(aro
und 1
20 km
) and
the N
dioum
Brid
ge w
ill be
built
by th
e Com
pact.
The
reha
bilita
tion o
f this
stretc
h wi
ll imp
act o
n tra
ffic in
thi
s Nor
thern
part
of Se
nega
l by f
acilit
ating
trav
elling
to th
e Reg
ion of
Mata
m bu
t also
to th
e othe
r par
ts of
the R
epub
lic of
Mau
ritania
and t
hat o
f Mali
.Ho
w do
es th
e ind
icato
r lin
k to
the
ERR?
The i
ncre
ase i
n tra
ffic on
this
road
will
help
redu
ce th
e cos
ts an
d dur
ation
of tr
avels
and p
romo
te the
tran
spor
tation
and e
xpor
t of p
rodu
cts fr
om th
e irr
igated
zone
s alon
g Rive
r Sen
egal
and t
hose
with
the R
epub
lics o
f Mau
ritania
and M
ali.
How
does
the i
ndica
tor l
ink t
o th
e BA
?
The r
ehab
ilitate
d RN2
Rich
ard T
oll -
Ndiou
m (a
roun
d 120
km) a
nd N
dioum
Brid
ge w
ill be
nefit
abou
t 21,
000 h
ouse
holds
or 25
1,000
peop
le in
year
20.
Abou
t 9,29
0 hou
seho
lds, i.
e. 11
1,500
peop
le cu
rrentl
y live
with
in a r
adius
of 5k
m on
eithe
r side
of R
N#2.
The r
ehab
ilitati
on of
this
road
will
help
incre
ase
trade
but a
lso re
duce
the c
osts
and d
urati
on of
trav
els an
d da
ily co
nsum
ption
by 7
% fo
r peo
ple w
ith le
ss th
an $2
a da
y, by
10%
for t
hose
havin
g betw
een
$2 an
d $4
and b
y 20%
fort
hose
with
mor
e tha
n $4
. Ho
w do
es th
e ind
icato
r lin
k to
the
impa
ct ev
aluat
ion?
The i
ndica
tor w
ill sh
ow th
e tra
ffic tr
ends
betw
een t
he pr
e-wo
rks pe
riod a
nd po
st-wo
rks pe
riod.
The c
ost a
nd du
ratio
n of tr
avels
and t
he tr
ade i
n agr
icultu
ral
prod
ucts
will b
e affe
cted,
as w
ill ac
cess
to ba
sic so
cials
ervic
es fo
r the
popu
lation
s livi
ng w
ithin
a rad
ius of
less
than
5kil
omete
rson
eithe
r side
of th
e roa
d.Ju
stifi
catio
n fo
r Disa
ggre
gatio
nsNo
t App
licab
leIN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
AG
EROU
TEPo
int o
f Con
tact
Res
pons
ible
for C
ollec
ting
the
Data
at A
GERO
UTE:
Mama
dou N
DAO
Phon
e+2
21 77
333 8
9 16
E-m
ailmn
dao@
ager
oute.
sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Da
ta
AGER
OUTE
(201
2) an
dCon
sulta
nt to
be se
lected
by M
CA-S
(201
5)
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy(in
cludin
g any
calcu
lation
s co
mpute
d by s
ource
)
The i
ndica
tor w
ill be
colle
cted d
uring
the c
ollec
tion c
ampa
ign of
repr
esen
tative
wee
k in t
he m
onth
at the
coun
ting s
tation
s sele
cted r
ation
ally
base
d on w
hethe
r the
re is
loca
l traff
ic or
not. T
he co
unt s
hould
disti
nguis
h betw
een p
asse
nger
traff
ic an
d car
go tr
affic
and t
ake i
nto ac
coun
t the
diffe
rent
silho
uette
s con
sider
ed in
the C
NCE
cond
ucted
by A
GERO
UTE.
An e
stima
tion o
f pote
ntial
induc
ed tr
affic
(gen
erate
d and
div
erted
) may
be m
ade b
y usin
g stat
istica
l data
(ava
ilable
at A
NSD)
, the a
nalys
is of
comp
eting
route
s and
the d
evelo
pmen
t pro
gram
s plan
ned
for th
is zo
ne.
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
74
The c
ount
is do
ne on
each
post,
by te
ams o
f thre
e to f
our p
eople
with
at le
ast a
12th
grad
e lev
el of
educ
ation
, wor
king
in sh
ifts th
roug
hout
the
day a
nd us
ing a
coun
t form
desig
ned a
nd te
sted b
efore
hand
. Tea
m me
mber
s will
be se
lected
after
prior
train
ing an
d full
-scale
tests
.
The c
alcula
tion f
ormu
la ap
plied
is:
T ijbe
ingthe
traff
ic be
twee
n the
origi
n i a
nd th
e des
tinati
on j a
nd a,
b be
ing ca
libra
tion c
onsta
ntsIf
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
re
spon
dent
The i
ndica
torwi
ll be c
ollec
ted in
the f
ield t
hrou
gh m
anua
l cou
nting
with
no re
spon
dents
. The
data
is co
llecte
d per
vehic
le typ
e an
d by t
raffic
hour
.De
taile
d de
scrip
tion
of h
ow d
ata i
s tra
nsm
itted
fro
m so
urce
to U
SAC
Data
is tra
nsmi
tted i
n the
form
of da
ta ba
ses a
nd an
alysis
repo
rt pr
esen
ting t
he re
sults
for t
he co
ncer
ned s
ectio
n
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nDa
ta wi
ll be o
btaine
d twi
ce: a
t the c
omme
ncem
ent a
nd at
the e
nd of
the C
ompa
ct.Na
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
:Na
tiona
l Roa
d Tra
ffic C
ounti
ng C
ampa
ign an
d Orig
in / D
estin
ation
Sur
vey/
AGER
OUTE
Data
base
, ana
lysis
repo
rt, cr
oss-t
abula
tions
Coun
ting a
nd O
rigin
/ Des
tinati
on S
urve
y in 2
015
Data
base
, ana
lysis
repo
rt, cr
oss-t
abula
tions
Loca
tion
of D
ata S
tora
geAG
EROU
TE an
d USA
C-Se
nega
lIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d re
sults
?3,2
Ensu
re tim
e con
sisten
cy of
es
timati
on m
ethod
s; Ta
ke
noctu
rnal
coun
ting i
nto ac
coun
t2.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,3N/
A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
1
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
75
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of
erro
r?3,2
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,7
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors
fully
portr
ay th
e res
ults?
3,6N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,3N/
A
Over
all as
sess
men
t 3,5
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re cl
arifie
d and
harm
onize
d with
AGE
ROUT
E an
d inc
orpo
ratin
g noc
turna
lcou
nting
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
-The
key l
imita
tion c
once
rns t
he cl
arific
ation
of da
ta in
the lig
ht of
the da
ily, w
eekly
, mon
thly a
nd se
ason
al va
riabil
ity of
data
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsTh
e mon
thly v
ariab
ility c
onstr
aint th
at wi
ll be l
ifted o
n the
assu
mptio
n tha
t dur
ing th
e mon
th, th
e wee
ks an
d day
s reo
ccur
in e
xactl
y the
same
wa
y. Th
esea
sona
l var
iabilit
y con
strain
t will
belift
ed by
integ
ratin
g an e
xtra-
seas
onal
factor
base
d on f
uel c
onsu
mptio
n (su
per a
nd di
esel)
.IN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
1029
Old
Base
line Y
ear
2011
-20
12So
urce
of o
ld B
aseli
neRe
sults
Sur
vey o
n Tra
ffic an
d Orig
in–De
stina
tion –
AGER
OUTE
, Sep
t. 201
2:Re
port
CNCE
Sur
veys
and O
/D S
urve
ys A
GERO
UTE
2012
New
Base
line
1 029
New
Base
line Y
ear
2011
-20
12So
urce
of N
ew B
aseli
neRe
sults
Sur
vey o
n Tra
ffic an
d Orig
in–De
stina
tion –
AGER
OUTE
, Sep
t. 201
2:Re
port
CNCE
Sur
veys
and O
/D S
urve
ysAG
EROU
TE20
12Ju
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)Th
e Cou
nt an
d O/D
Sur
vey w
as fin
ally c
ondu
cted b
y AGE
ROUT
E in
2012
atse
ction
s ofR
NRN2
andR
NRN6
.IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Th
e ann
ual s
urve
y sch
edule
d by A
GERO
UTE
in 20
10-2
011 d
id no
t take
plac
e.Oc
t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
w
Just
ifica
tion
for c
hang
es to
ta
rget
s orc
alcul
atio
ns (i
f any
)
The s
urve
y con
ducte
d fro
m 24
to 29
Sep
tembe
r 201
2 by A
GERO
UTE
for th
is str
etch w
ith po
st N°
621
situa
ted at
the e
xit of
Dag
ana g
ives a
n AAD
T of
1029
vehic
les/da
y. S
ource
:Mid-
term
repo
rt. N
ation
al Ro
ad C
ount
and O
rigin
/ Des
tinati
on S
urve
y Cam
paign
on al
l the c
lassif
ied ro
ad ne
twor
ks of
Sen
egal,
Ja
nuar
y 20
13.R
efer T
oRes
ults S
urve
y on T
raffic
and O
rigin–
Desti
natio
n –AG
EROU
TE, S
ept. 2
012
Oct 2
011 -
Sept.
2012
1 029
1 029
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)AG
EROU
TE w
ill no
w co
nduc
t ann
ual s
urve
ys bu
t the r
oads
being
reha
bilita
ted w
ith M
CC fu
nds w
ill no
t be
inclu
ded
Oct 2
012 -
Sept.
2013
N/A
N/A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
76
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)AG
EROU
TE w
ill no
w co
nduc
t ann
ual s
urve
ys bu
t the r
oads
being
reha
bilita
ted w
ithMC
C fun
ds w
ill no
t be i
nclud
edOc
t 201
3 -Se
pt.20
14N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
The s
urve
y in y
ear 5
will
be co
nduc
ted by
MCA-
S ac
cord
ing to
the s
ame m
ethod
ology
as th
e one
used
by
AGE
ROUT
Ein
2012
. Upd
ated t
arge
t bas
ed on
3.5%
grow
th ra
te fro
m the
mea
sure
d 201
2 valu
e.Oc
t 201
4 -Se
pt. 20
151 1
401 1
16Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Base
d on E
RR es
timati
on, 2
015
N/A
2029
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsCO
MMEN
TSSU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)Ra
ppor
t à m
i-par
cour
s de l
a CNC
E et
Enqu
êtes O
/D A
GERO
UTE,
Janv
ier 20
13Ra
ppor
t Tec
hniqu
e d'or
ientat
ion V
ersio
n Fina
le de
la C
NCE
de l'A
GERO
UTE,
avril
2012
RN2M
odel
[to be
prov
ided b
y MCC
]
3.2.
Indi
cato
rRRP
.2. A
vera
ge an
nual
daily
traf
fic (A
ADT)
Zig
uinc
hor –
Tana
ff
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eAv
erag
e ann
ual d
aily t
raffic
(AAD
T) Z
iguinc
hor –
Tana
ffVe
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
(R-1
0)Cu
rrent
Indi
cato
r Num
ber
RRP.
2Al
l Pre
vious
Indi
cato
r Num
bers
RRP.
2.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
reNu
mber
Deta
iled
Defin
ition
The a
vera
ge nu
mber
and t
ype o
f veh
icles
per d
ay, a
vera
ged o
ver d
iffere
nt tim
es (d
ay an
d nigh
t) an
d ove
r diffe
rent
seas
ons t
o arri
ve at
an an
nuali
zed d
aily
aver
age
Freq
uenc
y of R
epor
ting
ANNU
AL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAILS
Just
ifica
tion
for I
nclu
ding
In
dica
tor
Lot 1
of R
N6Zig
uinch
or -
Tana
ff (11
6 km)
will
be re
habil
itated
by th
e Com
pact.
The
reha
bilita
tion o
f this
secti
on w
ill im
pact
on tr
affic
in thi
s Sou
thern
part
of Se
nega
l by f
acilit
ating
trav
elling
to th
e Reg
ions o
f Zigu
incho
r and
Sed
hiou a
nd pr
omoti
ng tr
ade w
ith th
e Rep
ublic
s of G
uinea
and G
uinea
Biss
au. R
N#6i
s also
a str
ategic
road
that
facilit
ates t
he tr
ansp
ortat
ion of
loca
l agr
icultu
ral p
rodu
cts an
d othe
r goo
ds an
d ser
vices
from
Cas
aman
ceto
other
Sen
egale
se ci
ties,
witho
ut ha
ving t
o go t
hrou
gh G
ambia
. RN#
6is t
he on
ly na
tiona
l land
acce
ss to
and f
rom
Casa
manc
e.
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
77
How
does
the i
ndica
tor l
ink t
o th
e ERR
?Th
e inc
reas
e in t
raffic
on th
is se
ction
will
help
redu
ce th
e cos
t and
dura
tion o
f trav
els an
d pro
mote
the tr
ansp
ortat
ion an
d exp
ort o
f loca
l agr
icultu
ral p
rodu
cts
and o
ther g
oods
and s
ervic
es fr
om C
asam
ance
to ot
her S
eneg
alese
citie
s, wi
thout
havin
g to g
o thr
ough
Gam
bia. R
N#6i
s the
only
natio
nal la
nd ac
cess
to an
dfro
m Ca
sama
nce.
How
does
the i
ndica
tor l
ink t
o th
e BA?
The r
ehab
ilitati
on of
RN6
Ziguin
chor
-Ko
unka
né (a
roun
d 256
km) a
nd of
the K
olda B
ridge
will
bene
fit clo
se to
120,0
00 ho
useh
olds o
r 1,27
7,000
peop
le in
year
20
. Abo
ut 44
,000 h
ouse
holds
, i.e.
474,0
00 pe
ople
curre
ntly l
ive w
ithin
a rad
ius of
5km
on ei
ther s
ide of
RN#
6. Th
e reh
abilit
ation
of th
is ro
ad w
ill he
lp inc
reas
e tra
de bu
t also
redu
ce th
e cos
tsan
d dur
ation
of tr
avels
and d
aily c
onsu
mptio
n by 7
5% fo
r peo
ple w
ith le
ss th
an $2
a da
y, by
21%
for t
hose
havin
g betw
een $
2 an
d $4 a
nd by
4% fo
rtho
se w
ith m
ore t
han $
4. Ho
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct ev
aluat
ion?
The i
ndica
tor w
ill sh
ow th
e tra
ffic tr
ends
betw
een t
he pr
e-wo
rks pe
riod a
nd po
st-wo
rks pe
riod.
The c
ost a
nd du
ratio
n of tr
avels
and t
he tr
ade i
n agr
icultu
ral
prod
ucts
will b
e affe
cted,
as w
ill ac
cess
to ba
sic so
cial s
ervic
es fo
r the
popu
lation
s livi
ng w
ithin
a rad
ius of
less
than
5 kil
omete
rson
eithe
r side
of th
e roa
d.Ju
stifi
catio
n fo
r Di
sagg
rega
tions
Not A
pplic
able
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at A
GERO
UTE:
Mama
dou N
DAO
Phon
e+2
21 77
333 8
9 16
E-m
ailmn
dao@
ager
oute.
sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of
prim
ary D
ata
AGER
OUTE
(201
2) an
d Con
sulta
nt to
be se
lected
by M
CA-S
(201
5)
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
calcu
lation
s co
mpute
d by s
ource
)
The i
ndica
tor w
ill be
colle
cted d
uring
the c
ollec
ting c
ampa
igns o
f a re
pres
entat
ive w
eek a
t the c
ounti
ng st
ation
s cho
sen r
ation
ally b
ecau
se of
the
pres
ence
or ot
herw
ise of
loca
l traff
ic. In
fact,
clos
er to
urba
n cen
ters,
beca
use o
f the r
isk in
volve
d in c
ounti
ng lo
cal d
omes
tictra
ffic, th
ere i
s a t
ende
ncy t
o ove
r-esti
mate
the ex
chan
ge tr
affic
on th
is se
ction
. Fur
ther f
rom
the ur
ban c
enter
s, be
caus
e of th
e dwi
ndlin
g loc
al tra
ffic, th
e ten
denc
y is t
o und
er-e
stima
te. B
eside
s, the
mon
thly v
ariab
ility c
onstr
aint th
at wi
ll be l
ifted o
n the
assu
mptio
n tha
t dur
ing th
e mon
th, th
e wee
ks
and d
ays r
eocc
ur in
exac
tly th
e sam
e way
. The
seas
onal
varia
bility
cons
traint
will
be lif
ted by
integ
ratin
g an e
xtra-
seas
onal
facto
r bas
ed on
fuel
cons
umpti
on (s
uper
and d
iesel)
.If
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
re
spon
dent
The i
ndica
tor w
ill be
colle
cted a
t the e
nd of
the f
ield s
urve
y by m
anua
l cou
nting
, and
thus
with
no re
spon
dent.
The
data
is co
llecte
d by t
ype o
f ve
hicle
and t
he tim
e of d
ay.
Deta
iled
desc
riptio
n of
how
dat
a is
trans
mitt
ed fr
om so
urce
to U
SAC
The i
ndica
tor w
ill be
colle
cted d
uring
the c
ollec
tion c
ampa
ign of
repr
esen
tative
week
in th
e mon
th at
the co
untin
g stat
ions s
electe
d rati
onall
y ba
sed o
n whe
ther t
here
is lo
cal tr
affic
or no
t. The
coun
t sho
uld di
sting
uish b
etwee
n pas
seng
er tr
affic
and c
argo
traff
ic an
d tak
e into
acco
unt th
e dif
feren
t silh
ouett
es co
nside
red i
n the
CNC
E co
nduc
ted by
AGE
ROUT
E. A
n esti
matio
n of p
otenti
al ind
uced
traff
ic (g
ener
ated a
nd de
rivati
ve)
may b
e mad
e by u
sing s
tatist
ical d
ata (a
vaila
ble at
ANS
D), th
e ana
lysis
of co
mpeti
ng ro
utes a
nd th
e dev
elopm
ent p
rogr
ams p
lanne
d for
this
zone
. Th
e cou
nt is
done
on ea
ch po
st, by
team
s of th
ree t
o fou
r peo
ple w
ith at
leas
t a 12
th gr
ade l
evel
of ed
ucati
on, w
orkin
g in
shifts
thro
ugho
ut the
da
y and
using
a co
unt fo
rm de
signe
d and
teste
d befo
reha
nd. T
eam
memb
ers w
ill be
selec
ted af
ter pr
ior tr
aining
and a
full-s
cale
tests.
The c
alcula
tion f
ormu
la ap
plied
is:
T ijbe
ing th
e tra
ffic be
twee
n the
origi
n i a
nd th
e des
tinati
on j a
nd a,
b be
ing ca
libra
tion c
onsta
ntsFr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
The d
ata w
ill be
clas
sified
by ye
ar an
d mad
e ava
ilable
no la
ter th
an M
arch
of th
at ye
ar fo
r the
traff
ic da
ta of
the pr
eced
ing ye
ar.
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nNa
tiona
l Roa
d Tra
ffic C
ounti
ng C
ampa
ign an
d Orig
in / D
estin
ation
Sur
vey/
AGER
OUTE
Data
base
, ana
lysis
repo
rt, cr
oss-t
abula
tions
Coun
ting a
nd O
rigin
/ Des
tinati
on S
urve
y in 2
015
Data
base
, ana
lysis
repo
rt, cr
oss-t
abula
tions
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
78
Loca
tion
of D
ata S
tora
geAG
EROU
TE an
d USA
C-Se
nega
lIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewJu
ne 20
13
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?3,2
Ensu
re tim
e con
sisten
cy of
estim
ation
me
thods
; Tak
e noc
turna
l cou
nting
into
acco
unt
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,3N/
A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and
frequ
ently
colle
cted?
4,0N/
A
4. PR
ECIS
ION
–Doe
sthe
data
have
an
acce
ptable
mar
gin of
erro
r?3,2
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,7
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indic
ators
fully
portr
ay th
e res
ults?
3,0N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,3
N/A
Over
all as
sess
men
t 3,4
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re cl
arifie
d and
harm
onize
d with
AGE
ROUT
E an
d inc
orpo
ratin
g noc
turna
lcou
nting
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
-The
key l
imita
tion c
once
rns t
he cl
arific
ation
of da
ta in
the lig
ht of
the da
ily, w
eekly
, mon
thly a
nd se
ason
al va
riabil
ity of
data
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
ns-T
he m
onthl
y var
iabilit
y con
strain
t that
will b
e lifte
d on t
he as
sump
tion t
hat d
uring
the m
onth,
the w
eeks
and d
ays r
eocc
ur in
exac
tly th
e sa
me w
ay. T
he se
ason
al va
riabil
ity co
nstra
int w
ill be
lifted
by in
tegra
ting a
n extr
a-se
ason
al fac
tor ba
sed o
n fue
l con
sump
tion (
supe
r and
die
sel).
- 2.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
2
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
79
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
N
Old
Base
line
181
Old
Base
line Y
ear
2011
-20
12So
urce
of o
ld B
aseli
neRe
fer T
o Res
ults S
urve
y on T
raffic
and O
rigin–
Desti
natio
n –AG
EROU
TE, S
ept. 2
012:
Repo
rt CN
CE S
urve
ys an
d O/D
Sur
veys
AGE
ROUT
E 20
12
New
Base
line
571
New
Base
line Y
ear
2007
Sour
ce o
f New
Bas
eline
Due D
iligen
ce st
udy (
2008
)Ju
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)MC
C re
calcu
lated
the E
RR on
the b
asis
of the
oriin
al Du
e Dilig
ence
stud
y (20
08)
study
due t
o con
cern
s abo
ut the
2012
AGER
OUTE
stud
yIN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Th
e ann
ual s
urve
y sch
edule
d by A
GERO
UTE
in 20
10-2
011 d
id no
t take
plac
e.Oc
t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Obse
rvatio
ns on
the r
oad p
laced
the 2
012 s
tudy i
n dou
bt, A
GERO
UTE
was u
nable
to pr
ovide
any
detai
ls on
how
the st
udy w
as do
ne (w
ho w
as se
nt, le
ngth
of co
unts,
meth
odolo
gy, e
tc.).
Rev
ertin
g to
due d
iligen
ce co
unts
as la
st re
liable
coun
t.Oc
t 201
1 -Se
pt. 20
1218
157
1
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)A
traffic
coun
t sur
vey i
s not
plann
ed fo
r 201
3Oc
t 201
2 -Se
pt. 20
13N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
A tra
ffic co
unt s
urve
y is n
ot pla
nned
for 2
014
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)HD
M4 m
odele
d pre
dictio
nsOc
t 201
4 -Se
pt. 20
1568
096
3Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
HDM4
mod
eled p
redic
tions
N/A
1501
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsCO
MMEN
TSMC
C an
d MCA
are c
onsid
ering
the i
mplic
ation
s of th
e low
traff
ic co
unts
and d
elays
in ro
ad pr
oject
for en
d-of-
comp
act ta
rgets
, but
have
not s
et ne
w tar
gets
as
of thi
s M&E
Plan
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
80
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Rapp
ort T
echn
ique d
'orien
tation
Ver
sion F
inale
de la
CNC
E de
l'AGE
ROUT
E, av
ril 20
12Ra
ppor
t à m
i-par
cour
s de l
a CNC
E et
Enqu
êtes O
/D A
GERO
UTE,
Janv
ier 20
13
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
81
3.3.
Indi
cato
r RRP
.3. A
vera
ge an
nual
daily
traf
fic (A
ADT)
Tan
aff -
Kold
a
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eAv
erag
e ann
ual d
aily t
raffic
(AAD
T) T
anaff
-Ko
ldaVe
rsio
nN°
03 / S
ept2
015
Com
mon
Indi
cato
r Num
ber
(R-1
0)Cu
rrent
Indi
cato
r Num
ber
RRP.
3.Al
l Pre
vious
Indi
cato
r Num
bers
RRP.
3.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
reNu
mber
Deta
iled
Defin
ition
The a
vera
ge nu
mber
and t
ype o
f veh
icles
per d
ay, a
vera
ged o
ver d
iffere
nt tim
es (d
ay an
d nigh
t) an
d ove
r diffe
rent
seas
ons t
o arri
ve at
an an
nuali
zed d
aily
aver
age
Freq
uenc
y of R
epor
ting
ANNU
AL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
In
dica
tor
Lot 2
of R
N6Ta
naff -
Kolda
(72 k
m) an
d the
Kold
a Brid
ge w
ill be
reha
bilita
ted by
the C
ompa
ct. T
he re
habil
itatio
n of th
is se
ction
will
impa
ct on
traff
ic in
this
South
ern p
art o
f Sen
egal
by fa
cilita
ting t
rave
lling t
o the
Reg
ion of
Zigu
incho
r and
Sed
hiou a
nd w
ithin
the C
ity of
Kold
a. It w
ill als
o fos
ter tr
ade w
ith th
e Re
publi
cs of
Guin
ea an
d Guin
ea B
issau
. RN#
6is a
lso a
strate
gic ro
ad th
at fac
ilitate
s the
tran
spor
tation
of lo
cal a
gricu
ltura
l pro
ducts
and o
ther g
oods
and
servi
ces f
rom
Casa
manc
e to o
ther c
ities o
f Sen
egal,
with
out h
aving
to go
thro
ugh G
ambia
. RN#
6is t
he on
ly na
tiona
l land
acce
ss to
and f
rom
Casa
manc
e.
How
does
the i
ndica
tor l
ink t
o th
e ER
R?Th
e inc
reas
e in t
raffic
on th
is se
ction
will
help
redu
ce th
e cos
t and
dura
tion o
f trav
els an
d pro
mote
the tr
ansp
ortat
ion an
d exp
ort o
f loca
l agr
icultu
ral p
rodu
cts
and o
ther g
oods
and s
ervic
es fr
om C
asam
ance
to ot
her S
eneg
alese
citie
s, wi
thout
havin
g to g
o thr
ough
Gam
bia. R
N#6i
s the
only
natio
nal la
nd ac
cess
to
and f
rom
Casa
manc
e.
How
does
the i
ndica
tor l
ink t
o th
e BA
?
The r
ehab
ilitati
on of
RN6
Ziguin
chor
-Ko
unka
né (a
roun
d 256
km) a
nd of
the K
olda B
ridge
will
bene
fit clo
se to
120,0
00 ho
useh
olds o
r 1,27
7,000
peop
le in
year
20. A
bout
44,00
0 hou
seho
lds, i.
e. 47
4,000
peop
le cu
rrentl
y live
with
in a r
adius
of 5k
m on
eithe
r side
of R
N#2.
The r
ehab
ilitati
on of
this
road
will
help
incre
ase t
rade
but a
lso re
duce
the c
osts
and d
urati
on of
trav
els an
d dail
y con
sump
tion b
y 75%
for p
eople
with
less
than
$2 a
day,
by 21
% fo
r tho
se ha
ving
betw
een $
2 and
$4 an
d by 4
% fo
rtho
se w
ith m
ore t
han $
4. Ho
w do
es th
e ind
icato
r lin
k to
the
impa
ct ev
aluat
ion?
The i
ndica
tor w
ill sh
ow th
e tra
ffic tr
ends
betw
een t
he pr
e-wo
rks pe
riod a
nd po
st-wo
rks pe
riod.
The c
ost a
nd du
ratio
n of tr
avels
and t
he tr
ade i
n agr
icultu
ral
prod
ucts
will b
e affe
cted,
as w
ill ac
cess
to ba
sic so
cial s
ervic
es fo
r the
popu
lation
s livi
ng w
ithin
a rad
ius of
less
than
5 kil
omete
rson
eithe
r side
of th
e roa
d.Ju
stifi
catio
n fo
r Disa
ggre
gatio
nsNo
t App
licab
leIN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
AG
EROU
TEPo
int o
f Con
tact
Res
pons
ible
for C
ollec
ting
the D
ata a
t AGE
ROUT
E:Ma
mado
u NDA
OPh
one
+221
7733
3 89 1
6E-
mnda
o@ag
erou
te.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of
prim
ary D
ata
AGER
OUTE
(201
2) an
d the
Con
sulta
nt se
lected
by M
CA-S
(201
5)
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
calcu
lation
s co
mpute
d by s
ource
)
The i
ndica
tor w
ill be
colle
cted d
uring
the c
ollec
tion c
ampa
ign of
repr
esen
tative
week
in th
e mon
th at
the co
untin
g stat
ions s
electe
d rati
onall
y ba
sed o
n whe
ther t
here
is lo
cal tr
affic
or no
t. The
coun
t sho
uld di
sting
uish b
etwee
n pas
seng
er tr
affic
and c
argo
traff
ic an
dtak
e into
acco
unt th
e dif
feren
t silh
ouett
es co
nside
red i
n the
CNC
Eco
nduc
ted by
AGE
ROUT
E. A
n esti
matio
n of p
otenti
al ind
uced
traff
ic (g
ener
ated a
nd de
rivati
ve) m
ay
be m
ade b
y usin
g stat
istica
l data
(ava
ilable
at A
NSD)
, the a
nalys
is of
comp
eting
route
s and
the d
evelo
pmen
t pro
gram
s plan
ned f
or th
is zo
ne.
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
82
The c
ount
is do
neon
each
post,
by te
ams o
f thre
e to f
our p
eople
with
at le
ast a
12th
grad
e lev
el of
educ
ation
, wor
king
in sh
ifts th
roug
hout
the
day a
nd us
ing a
coun
t form
desig
ned a
nd te
sted b
efore
hand
. Tea
m me
mber
s will
be se
lected
after
prior
train
ing an
d full
-scale
tests
.
The c
alcula
tion f
ormu
la ap
plied
is:
T ijbe
ing th
e tra
ffic be
twee
n the
origi
n i an
d the
desti
natio
n j an
d a, b
being
calib
ratio
n con
stants
.If
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed
to re
spon
dent
The i
ndica
tor w
ill be
colle
cted a
t the e
nd of
the f
ield s
urve
y by m
anua
l cou
nting
, and
thus
with
no re
spon
dent.
The
data
is co
llecte
d by t
ype o
f ve
hicle
and t
he tim
e of d
ay.
Deta
iled
desc
riptio
n of
how
dat
a is
trans
mitt
ed fr
om so
urce
to U
SAC
The d
ata is
tran
smitte
d in t
he fo
rm of
data
base
and a
nalys
is re
port
show
ing th
e find
ings f
or th
e sec
tion u
nder
stud
y.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nTh
e data
will
be cl
assif
ied by
year
and m
ade a
vaila
ble no
later
than
Mar
ch of
that
year
for t
he tr
affic
data
of the
prec
eding
year
.Na
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
:Na
tiona
l Roa
d Tra
ffic C
ounti
ng C
ampa
ign an
d Orig
in / D
estin
ation
Sur
vey/
AGER
OUTE
Data
base
, ana
lysis
repo
rt, cr
oss-t
abula
tions
Coun
ting a
nd O
rigin
/ Des
tinati
on S
urve
yin 2
015
Data
base
, ana
lysis
repo
rt, cr
oss-t
abula
tions
Loca
tion
of D
ata S
tora
geAG
EROU
TE an
d USA
C-Se
nega
lIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 3)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?3,2
Ensu
re tim
e con
sisten
cy of
estim
ation
me
thods
; Tak
e noc
turna
l cou
nting
into
acco
unt
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?3,3
N/A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
3
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
83
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?4,0
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?3,2
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,7
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
3,0N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?3,3
N/A
Over
all as
sess
men
t 3,2
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re cl
arifie
d and
harm
onize
d with
AGE
ROUT
E an
d inc
orpo
ratin
g noc
turna
lcou
nting
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
-The
key l
imita
tion c
once
rns t
he cl
arific
ation
of da
ta in
the lig
ht of
the da
ily, w
eekly
, mon
thly a
nd se
ason
al va
riabil
ity of
data
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
ns-T
he m
onthl
y var
iabilit
y con
strain
t that
will b
e lifte
d on t
he as
sump
tion t
hat d
uring
the m
onth,
the w
eeks
and d
ays r
eocc
ur in
exa
ctly t
hesa
me
way.
The s
easo
nal v
ariab
ility c
onstr
aint w
ill be
lifted
by in
tegra
ting a
n extr
a-se
ason
al fac
tor ba
sed o
n fue
l con
sump
tion (
supe
r and
dies
el).
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
N
Old
Base
line
23Ol
d Ba
selin
e Yea
r20
11-2
012
Sour
ce o
f old
Bas
eline
Refer
To R
esult
s Sur
vey o
n Tra
ffic an
d Orig
in–De
stina
tion –
AGER
OUTE
, Sep
t. 201
2:Re
port
CNCE
Sur
veys
and O
/D S
urve
ys A
GERO
UTE
2012
New
Base
line
301
New
Base
line Y
ear
2007
Sour
ce o
f New
Bas
eline
Due D
iligen
ce st
udy (
2008
)
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
MCC
reca
lculat
ed th
e ERR
on th
e bas
is of
the or
iinal
Due D
iligen
ce st
udy (
2008
)stu
dy du
e to c
once
rns a
bout
the 20
12 A
GERO
UTE
study
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Th
e upd
ated e
cono
mic m
odeli
ng do
es no
t pro
vide a
n esti
mated
traff
ic co
unt fo
r Yea
r 2.
Oct 2
011 -
Sept.
2012
2330
1Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
A tra
ffic co
unt s
urve
y is n
ot pla
nned
for 2
013
Oct 2
012 -
Sept.
2013
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)A
traffic
coun
t sur
vey i
snot
plann
ed fo
r 201
4Oc
t 201
3 -Se
pt. 20
14N/
AN/
A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
84
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Ob
serva
tions
on th
e roa
d plac
ed th
e 201
2 stud
y in d
oubt,
AGE
ROUT
E wa
s una
ble to
prov
ide an
y de
tails
on ho
w the
stud
y was
done
(who
was
sent,
leng
th of
coun
ts, m
ethod
ology
, etc.
). R
ever
ting
to du
e dilig
ence
coun
ts as
last
relia
ble co
unt.
Oct 2
014 -
Sept.
2015
1490
562
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
tota
rget
calcu
latio
nsLo
ng T
erm
Tar
get
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Ba
sed o
n eco
nomi
c mod
eling
, 201
5N/
A84
9Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts to
targ
et ca
lculat
ions
COMM
ENTS
MCC
and M
CA ar
e con
sider
ing th
e imp
licati
ons o
f the l
ow tr
affic
coun
ts an
d dela
ys in
road
proje
ct for
end-
of-co
mpac
t targ
ets, b
ut ha
ve no
t set
new
targe
ts as
of th
is M&
E Pl
anSU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)Ra
ppor
t Tec
hniqu
e d'or
ientat
ion V
ersio
n Fina
le de
la C
NCE
de l'A
GERO
UTE,
avril
2012
Rapp
ort à
mi-p
arco
urs d
e la C
NCE
et En
quête
s O/D
AGE
ROUT
E, Ja
nvier
2013
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
85
3.4.
Indi
cato
r RRP
.4. A
vera
ge an
nual
daily
traf
fic (A
ADT)
Kol
da-K
ounk
ané
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eAv
erag
e ann
ual d
aily t
raffic
(AAD
T) K
olda-
Koun
kané
Vers
ion
N° 03
/Sep
t201
5Co
mm
on In
dica
tor N
umbe
r(R
-10)
Curre
nt In
dica
tor N
umbe
rRR
P.4.
All P
revio
us In
dica
tor N
umbe
rsRR
P.4.
Leve
lOu
tcome
Clas
sifica
tion
Leve
lUn
it of
Mea
sure
Numb
erDe
taile
d De
finiti
onTh
e ave
rage
numb
er an
d typ
e of v
ehicl
es pe
r day
,ave
rage
d ove
r diffe
rent
times
(day
and n
ight)
and o
ver d
iffere
nt se
ason
s to a
rrive
at an
annu
alize
d dail
y ave
rage
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
In
dica
tor
Lot 3
of R
N6Ko
lda -K
ounk
ané (
64 km
) will
be re
habil
itated
by th
e Com
pact.
The
reha
bilita
tion o
f this
secti
on w
ill im
pact
on tr
affic
in th
is So
uther
n par
t of S
eneg
al by
facil
itatin
g tra
vellin
g to t
he R
egion
of Z
iguinc
hor a
nd S
edhio
u and
prom
oting
trad
e with
the R
epub
lics o
f Guin
ea an
d Guin
ea B
issau
. RN#
6is a
lso a
strate
gic
road
that
facilit
ates t
he tr
ansp
ortat
ion of
loca
l agr
icultu
ral p
rodu
cts an
d othe
r goo
ds an
d ser
vices
from
Cas
aman
ce to
othe
r citie
s of S
eneg
al, w
ithou
t hav
ing to
go
throu
gh G
ambia
. RN#
6is t
he on
ly na
tiona
l land
acce
ss to
and f
rom
Casa
manc
e.
How
does
the i
ndica
tor l
ink t
o th
eERR
?Th
e inc
reas
e in t
raffic
on th
is se
ction
will
help
redu
ce th
e cos
t and
dura
tion o
f trav
els an
d pro
mote
the tr
ansp
ortat
ion an
d exp
ort o
f loca
l agr
icultu
ral p
rodu
cts an
d oth
er go
ods a
nd se
rvice
s fro
m Ca
sama
nce t
o othe
r Sen
egale
se ci
ties,
witho
ut ha
ving t
o go t
hrou
gh G
ambia
. RN#
6is t
heon
ly na
tiona
l land
acce
ss to
and f
rom
Casa
manc
e. Th
e eco
nomi
c rate
of re
turn i
s 12.3
% ov
er a
perio
d of 2
0 yea
rs.
How
does
the i
ndica
tor l
ink t
o th
e BA?
The r
ehab
ilitati
on of
RN6
Ziguin
chor
-Ko
unka
né (a
roun
d 256
km) a
nd of
the K
olda B
ridge
will
bene
fit clo
se to
120,0
00 ho
useh
olds o
r 1, 2
77, 0
00 pe
ople
in ye
ar 20
. Ab
out 4
4,000
hous
ehold
s, i.e
. 474
,000 p
eople
curre
ntly l
ive w
ithin
a rad
ius of
5km
on ei
ther s
ide of
RN#
6. Th
e reh
abilit
ation
of th
is ro
ad w
ill he
lp inc
reas
e tra
de bu
t als
o red
uce t
he co
stsan
d dur
ation
of tr
avels
and d
aily c
onsu
mptio
n by 7
5% fo
r peo
ple w
ith le
ss th
an $2
a da
y, by
21%
for t
hose
hav
ing be
twee
n $2 a
nd $4
and b
y 4%
for t
hose
with
mor
e tha
n $4.
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?Th
e ind
icator
will
show
the t
raffic
tren
ds be
twee
n the
pre-
works
perio
d and
post-
works
perio
d. Th
e cos
t and
dura
tion o
f trav
els an
d the
trad
e in a
gricu
ltura
l pro
ducts
wi
ll be a
ffecte
d, as
will
acce
ss to
basic
socia
l ser
vices
for t
he po
pulat
ions l
iving
with
in a r
adius
of le
ss th
an 5
kilom
eters
on ei
ther s
ide of
the r
oad.
Just
ifica
tion
for
Disa
ggre
gatio
nsNo
t App
licab
le
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at A
GERO
UTE:
Mama
dou N
DAO
Phon
e+2
21 77
333 8
9 16
E-m
ailmn
dao@
ager
oute.
sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of
prim
ary D
ata
AGER
OUTE
(201
2) an
dCon
sulta
nt to
be se
lected
by M
CA-S
(201
5)
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
calcu
lation
s co
mpute
d by s
ource
)
The i
ndica
tor w
ill be
colle
cted d
uring
the c
ollec
tion c
ampa
ign of
repr
esen
tative
week
in th
e mon
th at
the co
untin
g stat
ions s
electe
d rati
onall
y bas
ed
on w
hethe
r the
re is
loca
l traff
ic or
not. T
he co
unt s
hould
disti
nguis
h betw
een p
asse
nger
traff
ic an
d car
go tr
affic
and t
ake i
nto ac
coun
t the d
iffere
nt sil
houe
ttes c
onsid
ered
in th
eCNC
E co
nduc
ted by
AGE
ROUT
E. A
n esti
matio
n of p
otenti
al ind
uced
traffic
(gen
erate
d and
deriv
ative
)may
be m
ade
by us
ing st
atisti
cal d
ata(a
vaila
ble at
ANS
D), th
e ana
lysis
of co
mpeti
ng ro
utes a
nd th
e dev
elopm
ent p
rogr
ams p
lanne
d for
this
zone
.
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
86
The c
ount
is do
ne on
each
post,
by te
ams o
f thre
e to f
our p
eople
with
at le
ast a
12th
grad
e lev
el of
educ
ation
, wor
king
in sh
ifts th
roug
hout
the da
y an
d usin
g a co
unt fo
rm de
signe
d and
teste
d befo
reha
nd. T
eam
memb
ers w
ill be
selec
ted af
ter pr
ior tr
aining
and f
ull-sc
ale te
sts.
The c
alcula
tion f
ormu
la ap
plied
is:
T ijbe
ing th
e tra
ffic be
twee
n the
origi
nian
dthe
desti
natio
n j an
da, b
being
calib
ratio
n con
stants
. If
surv
ey d
ata,
verb
atim
que
stio
n(s)
pos
ed to
re
spon
dent
The i
ndica
tor w
ill be
colle
cted a
t the e
nd of
the f
ield s
urve
y by m
anua
l cou
nting
, and
thus
with
no re
spon
dent.
The
data
is co
llecte
d by t
ype o
f ve
hicle
and t
he tim
e of d
ay.
Deta
iled
desc
riptio
n of
how
dat
a is
trans
mitt
ed fr
om so
urce
to U
SAC
The d
ata is
tran
smitte
d in t
he fo
rm of
data
base
and a
nalys
is re
port
show
ing th
e find
ings f
or th
e sec
tion u
nder
stud
y.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nTw
o mea
sure
ments
will
be m
ade:
at the
comm
ence
ment
(befo
re th
e wor
ks in
2012
) and
at th
e end
of th
e Com
pact.
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
n Na
tiona
l Roa
d Tra
ffic C
ounti
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ign an
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vey/
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Data
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abula
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rigin
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tinati
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urve
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015
Data
base
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lysis
repo
rt, cr
oss-t
abula
tions
Loca
tion
of D
ata S
tora
geAG
EROU
TE an
d USA
C-Se
nega
lIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d re
sults
?3,2
Ensu
re tim
e con
sisten
cy of
es
timati
on m
ethod
s; Ta
ke th
e no
cturn
al co
untin
g into
acco
unt
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
stab
le an
d con
sisten
t ove
r tim
e?3,3
N/A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
colle
cted?
4,0N/
A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
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Prat
icab
ilite
RRP.
4
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
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CA
-Sén
égal
)
Mem
oran
dum
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e M
onito
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and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
87
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of
erro
r?3,2
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,7
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors
fully
portr
ay th
e res
ults?
3,0N/
A
7.PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,3N/
A
Over
all as
sess
men
t 3,4
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
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ectio
n pro
cedu
re cl
arifie
d and
harm
onize
d with
AGE
ROUT
E an
d inc
orpo
ratin
g noc
turna
lcou
nting
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
-The
key l
imita
tion c
once
rns t
he cl
arific
ation
of da
ta in
the lig
ht of
the da
ily, w
eekly
, mon
thly a
nd se
ason
al va
riabil
ity of
data
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
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he m
onthl
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iabilit
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strain
t that
will b
e lifte
d on t
he as
sump
tion t
hat d
uring
the m
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the w
eeks
and d
ays r
eocc
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ex
actly
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ame w
ay. T
he se
ason
al va
riabil
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nstra
int w
ill be
lifted
by in
tegra
ting a
n extr
a-se
ason
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tor ba
sed o
n fue
l co
nsum
ption
(sup
er an
d dies
el).
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CATO
R BA
SELI
NE IN
FORM
ATIO
NOl
d Ba
selin
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6Ol
d Ba
selin
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ar20
11-2
012
Sour
ce o
f old
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selin
eRe
fer T
o Rés
ultats
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estin
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EROU
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ept. 2
012:
CNCE
Sur
veys
repo
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D Su
rveys
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ROUT
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07So
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ew
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line
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iligen
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2008
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Just
ifica
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2008
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GERO
UTE
study
INDI
CATO
R TA
RGET
CAL
CULA
TION
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rget
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l sur
vey s
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ROUT
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Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
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sum
ptio
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d in
puts
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011 -
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2012
716
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Expl
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r calc
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ny)
A tra
fficco
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urve
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013
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012 -
Sept.
2013
N/A
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Expl
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sum
ptio
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d in
puts
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targ
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lculat
ions YEAR
4Ol
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r calc
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ny)
A tra
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nned
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014
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013 -
Sept.
2014
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Expl
anat
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of as
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ptio
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puts
to
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et ca
lculat
ions YEAR
5Ol
dNe
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Mille
nniu
m C
halle
nge
Acc
ount
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égal
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CA
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égal
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Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
88
Oct 2
014 -
Sept.
2015
1850
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Just
ifica
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rget
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f any
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ROUT
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ts, m
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m T
arge
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dNe
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nges
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r calc
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ny)
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odel
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2095
Expl
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ptio
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ENTS
MCC
and M
CA ar
e con
sider
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e imp
licati
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ow tr
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of-co
mpac
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ut ha
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t set
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anSU
PPLE
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MENT
ATIO
N FO
R DE
TAIL
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ALCU
LATI
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quire
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ppor
t Tec
hniqu
e d'or
ientat
ion V
ersio
n Fina
le de
la C
NCE
de l'A
GERO
UTE,
avril
2012
Rapp
ort à
mi-p
arco
urs d
e la C
NCE
et En
quête
s O/D
AGE
ROUT
E, Ja
nvier
2013
3.5.
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cato
r RRP
.5Ra
te o
f cha
nge i
n th
e dur
atio
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el tim
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CATO
R BA
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ifica
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INDI
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ate of
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ta fro
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E AG
EROU
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CA -S
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avel
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GERO
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avel
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epor
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trav
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CNCE
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tinati
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urve
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rpre
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ort a
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avel
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urve
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egal.
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tion
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ata S
tora
geUS
AC-S
eneg
alIN
DICA
TOR
DATA
QUAL
ITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
- 1.0
2.0
3.0
4.0
Valid
ite
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ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
5
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
90
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d re
sults
?3,4
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2. RE
LIABI
LITY
–Are
the d
ata co
llecti
onpr
oced
ures
stab
le an
d con
sisten
t ove
r tim
e?3,6
N/A
3. TI
MELIN
ESS-
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he da
ta cu
rrent
and f
requ
ently
co
llecte
d?3,2
N/A
4. PR
ECIS
ION
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s the
data
have
an ac
cepta
ble m
argin
of
erro
r?3,6
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,8
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
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ndica
tors
fully
portr
ay th
e res
ults?
1,6N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
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3,7N/
A
Over
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men
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n–V
ersi
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° 03
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ept,
2015
91
Oct2
012 -
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ifica
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ifica
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013 -
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2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
targ
ets o
r ca
lculat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
-15%
-15%
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsLo
ng T
erm
Tar
get
Old
New
Just
ifica
tion
for c
hang
es to
targ
ets o
r ca
lculat
ions
(if a
ny)
-15%
-15%
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to ta
rget
calcu
latio
nsCO
MMEN
TSSU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
92
3.6.
Indi
cato
rRRP
.6. R
ate o
f cha
nge i
n th
e dur
atio
n of
trav
el tim
e on
the R
N#6
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eRa
te of
chan
ge in
the d
urati
on of
trav
el tim
e on t
he R
N#6
Vers
ion
N° 03
/ Sep
t201
5Co
mm
on In
dica
tor N
umbe
rNo
t App
licab
leCu
rrent
Indi
cato
r Num
ber
RRP.
6.Al
l Pre
vious
Indi
cato
r Num
bers
RRP.
6.Le
vel
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Perce
ntage
Deta
iled
Defin
ition
Rate
of re
ducti
on of
trav
el tim
e on R
N#6.
Trav
el tim
e will
be es
timate
d in t
erms
of pe
rcenta
ge of
redu
ction
or in
creas
e of th
e tra
vel d
urati
on
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
prov
ides i
nform
ation
on th
e red
uctio
n of tr
avel
time r
esult
ing fr
om th
e imp
rove
ment
of the
quali
ty of
reha
bilita
ted r
oads
. Actu
ally,
with
the de
gree
of de
grad
ation
of R
N6Zig
uinch
or –
Koun
kané
, trav
el tim
e inc
reas
es. H
owev
er, a
fter t
he re
habil
itatio
n of th
e RN6
, the
bene
ficiar
ies w
ill ha
ve th
eir co
nditio
ns of
mov
emen
t impr
oved
beca
use o
f the r
educ
tion i
n tra
vel.
How
does
the i
ndica
torl
ink t
o th
e ERR
?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the B
A?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct
evalu
atio
n?No
t App
licab
le
Just
ifica
tion
for D
isagg
rega
tions
Not A
pplic
able
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Da
ta at
AGE
ROUT
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taMC
A-S
in 20
12 an
d201
5
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
calcu
lation
s com
puted
by
sour
ce)
Done
using
data
from
inves
tigati
on (C
NCE
AGER
OUTE
2012
) and
final
(MCA
-S Y
ear 5
). Ma
de fr
om th
e sur
vey o
f trav
el tim
e con
ducte
d by
the M
CA-S
AGE
ROUT
E on
dema
nd in
2012
at th
e CNC
E. in
2015
), MC
A wi
ll con
duct
the sa
me su
rvey o
f trav
el tim
e (se
e meth
odolo
gy
cour
se tim
e / A
GERO
UTE)
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to
resp
onde
ntDe
taile
d de
scrip
tion
of h
ow d
ata i
s tra
nsm
itted
fro
m so
urce
to U
SAC
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nTw
ice:Y
ears
2 and
5Na
mes
of ve
rifica
tion
sour
ces
Mean
s of v
erifi
catio
n
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
93
Origi
n and
Des
tinati
on S
urve
y inte
rpre
tation
Rep
ort a
nd su
rvey d
ata ba
seCN
CE of
AGE
ROUT
E 20
12Or
igin a
nd D
estin
ation
Sur
vey i
nterp
retat
ion R
epor
t and
surve
y data
base
in ye
ar 5
MCA-
Sene
gal.
Loca
tion
of D
ata S
tora
geAG
EROU
TE an
d USA
C-Se
nega
lIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sco
re
(out
of 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d re
sults
?3,4
None
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on pr
oced
ures
sta
ble an
d con
sisten
t ove
r tim
e?3,6
None
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and f
requ
ently
co
llecte
d?3,2
None
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble
marg
in of
erro
r?3,6
None
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?3,8
None
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the
indica
tors f
ully p
ortra
y the
resu
lts?
1,6No
ne
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly
colle
cted?
3,7No
ne
Over
all as
sess
men
t 3,3
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
6
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
94
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
-Coll
ectio
n pro
cedu
re cl
arifie
d and
harm
onize
d with
AGE
ROUT
EKn
own
data
limita
tions
and
signi
fican
ceAc
tions
take
n to
addr
ess d
ata l
imita
tions
Not A
pplic
able
INDI
CATO
R BA
SELI
NE IN
FORM
ATIO
N
Old
Base
line
0%Ol
d Ba
selin
e Yea
r20
11-2
012
Sour
ce o
f old
Bas
eline
Data
Base
s and
Rep
ort o
f Bas
eline
Sur
veys
of th
e Roa
ds
Reha
bilita
tion P
rojec
t don
e in
2012
New
Base
line
0%Ne
w Ba
selin
e Yea
r 20
11-2
012
Sour
ce o
f New
Bas
eline
Data
Base
sand
Repo
rt of
Base
line S
urve
ys of
the R
oads
Re
habil
itatio
n Pro
ject d
one i
n 20
12Or
igin a
nd D
estin
ation
Sur
vey R
epor
t and
datab
ase s
urve
y in
year
5Ju
stifi
catio
n fo
r Bas
eline
Ch
ange
(if a
ny)
The b
aseli
ne ye
ar is
2011
-201
2 dur
ing w
hich t
he O
rigin
/ Des
tinati
on st
udy w
as un
derta
ken b
y AGE
ROUT
E on
the s
ectio
ns w
hose
reha
bilita
tionw
illbe
finan
ced
with
MCC
funds
.IN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
120%
0%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s orc
alcul
atio
ns (i
f any
)Oc
t 201
2 -Se
pt. 20
13N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
3 -Se
pt. 20
14N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
4 -Se
pt. 20
15-5
0%-5
0%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsLo
ng T
erm
Tar
get
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)-5
0%-5
0%Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
ns
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
95
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
96
3.7.
Indi
cato
r RRP
.7.Ro
ughn
ess (
RN2)
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eRo
ughn
ess (
RN2)
Vers
ion
N° 03
/ Sep
t201
5Co
mm
on In
dica
tor N
umbe
r(R
-9)
Curre
nt In
dica
tor N
umbe
rRR
P.7.
All P
revio
us In
dica
tor N
umbe
rsRR
P.7.
Leve
lOu
tcome
Clas
sifica
tion
Leve
l Un
it of
Mea
sure
*m/
km
Deta
iled
Defin
ition
The m
easu
re of
the r
ough
ness
of th
e roa
d sur
face,
in me
ters o
f heig
ht pe
r kilo
meter
of di
stanc
e tra
veled
(this
insta
nce o
f the
indica
tor re
lates
to th
e RN2
in
Sene
gal)
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
Roug
hnes
sis a
n ind
icator
used
to m
easu
re ro
ad qu
ality.
It ca
lculat
es th
e tra
vel s
uspe
nsion
of a
car w
hen i
t cov
ers a
kilom
eter
of ro
ad at
a sp
eed o
f 80 k
m/h
How
does
the i
ndica
tor l
ink t
o th
e ERR
?Th
e qua
lity of
the r
oad h
as a
signif
icant
impa
ct on
the u
se of
ther
oad a
nd th
us on
the t
raffic
. The
latte
r is st
rong
ly co
rrelat
ed
with
profi
tabilit
y.Ho
w do
es th
e ind
icato
r lin
k to
the B
A?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct ev
aluat
ion?
Not A
pplic
able
Just
ifica
tion
for D
isagg
rega
tions
Not A
pplic
able
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
AGER
OUTE
:Ma
mado
u NDA
OPh
one
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6E-
mnda
o@ag
erou
te.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aAG
EROU
TE in
2012
;Firm
and E
ngine
er R
N2in
2015
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy
(inclu
ding a
ny ca
lculat
ions c
ompu
ted by
sour
ce)
Ther
e is n
eed t
o dist
inguis
h betw
een t
he R
ough
ness
meas
urem
ents
made
on th
e bas
is of
the pr
ogre
ssion
of w
orks
and w
hich
facilit
ates t
he ac
cepta
nce o
f the
surfa
cing w
orks
and t
heRo
ughn
essm
easu
reme
nts to
be m
ade d
uring
the p
rovis
ional
deliv
ery
and w
hich w
ill he
lp ch
arac
terize
the i
nitial
state
of th
e pav
emen
t. To e
nsur
e tha
t thes
e mea
sure
ments
are c
omple
tely a
ccur
ate,
the ca
libra
tion o
f high
-per
forma
nce m
easu
reme
nt de
vices
on th
e con
trol ro
ad se
gmen
ts at
least
500 l
ong,
will b
e mad
e. Su
rveys
will
be co
nduc
ted on
thes
e con
trol s
ectio
ns (o
r cali
brati
on in
strum
ents
like t
he D
ipstic
k use
d) to
deter
mine
the
Roug
hnes
sbefo
re m
easu
ring i
t with
the h
elp of
the h
igh-p
erfor
manc
e ins
trume
nt in
orde
r to c
alibr
ate th
em.
The u
se of
Rou
ghne
ssva
lues a
long e
ach o
f the r
oad s
egme
nts of
RN2
will h
elp de
fine t
he in
itials
tate o
f the r
oad.
This
Roug
hnes
svalu
e will
be co
mpar
ed to
the o
ne m
easu
red b
y AGE
ROUT
E aft
er th
e wor
ks ar
e com
pleted
to de
termi
ne th
e im
prov
emen
t due
tothe
reha
bilita
tion p
rojec
t. It w
ill the
n be c
ompa
red w
ith th
e per
iodic
meas
urem
ents
to be
done
by
AGER
OUTE
to ju
diciou
sly de
fine t
he m
ainten
ance
prog
ram:
Refe
r toR
ough
ness
calcu
lation
princ
iple e
xtrac
t of:
Roug
hnes
sme
asur
emen
t cam
paign
on th
e clas
sified
road
netw
ork,
Rapp
ort d
e pha
se, P
hase
Repo
rt AG
EROU
TE /M
SILA
B 20
12.
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Not A
pplic
able
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
97
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om
sour
ce to
USA
CTh
e data
will
be pr
ovide
d byt
he en
terpr
ise in
char
ge of
cons
tructi
on an
d by t
he E
ngine
er in
char
ge of
wor
ks su
pervi
sion.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
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onito
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ces
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irmTa
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ough
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CATO
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TA Q
UALI
TYDa
te o
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a Qua
lity R
eview
Nove
mber
2014
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sc
ore (
out o
f 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the
desir
ed re
sults
?4,0
Incen
tives
to en
sure
that
cons
tructi
on
firms u
pgra
de th
e roa
ds to
expe
cted
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hnes
sstan
dard
s trig
ger h
opes
that
this i
ndica
tor an
d its
data
will b
e of g
ood
quali
ty;2.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es
stable
and c
onsis
tent o
ver t
ime?
4,0N/
A
3. TI
MELIN
ESS-
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he da
ta cu
rrent
and f
requ
ently
co
llecte
d?3,2
N/A
4.PR
ECIS
ION
–Doe
s the
data
have
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cepta
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in of
erro
r?4,0
N/A
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2.0
3.0
4.0
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ite
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ilite
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nite
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ision
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grite
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uatio
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onito
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and
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luat
ion
Pla
n–V
ersi
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° 03
–S
ept,
2015
102
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TEGR
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6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
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tors f
ully p
ortra
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lts?
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A
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ACTI
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LITY-
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nt an
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llecte
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men
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n ta
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lity r
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ERR
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2.52.5
Expl
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puts
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COMM
ENTS
Zo
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t Lot
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ne III
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,9 km
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t Lot
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PPLE
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MENT
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R DE
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12(T
D-37
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R Ind
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ifica
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r of th
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oes t
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ime?
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LINES
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data
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ECIS
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OPRI
ATEN
ESS
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xtent
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7. PR
ACTI
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LITY-
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nt an
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- 1.0
2.0
3.0
4.0
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ite
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ilite
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Prec
ision
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égal
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CA
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égal
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oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
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° 03
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ept,
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105
Over
all as
sess
men
t 2,4
Actio
n ta
ken
in re
spon
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dat
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lity r
eview
Not A
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Know
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ta lim
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Actio
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ken
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RMAT
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ase o
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t 201
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t 201
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pt. 20
13N/
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Oct 2
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ptio
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AR 5
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torOc
t 201
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pt. 20
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AN/
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ILED
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TION
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onito
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Eva
luat
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n–V
ersi
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° 03
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cato
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.10.K
ilom
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INDI
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R BA
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ILS
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lomete
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lOu
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iled
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ition
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red
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eriod
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/NO)
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age (
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inco
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ES/N
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cality
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IFIC
ATIO
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abilit
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lt con
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abilit
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N2ha
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asis
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ifica
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wor
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rbat
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rans
mitt
ed fr
om so
urce
to
USAC
The d
ata is
tran
smitte
d by t
he R
oads
Pro
ject D
irecto
rate
with
the m
inutes
of ac
cepta
nceo
f the c
once
rned
road
s atta
ched
in
anne
x.Fr
eque
ncy a
nd ti
min
g of
dat
a acq
uisit
ion
Only
once
: atth
e end
of th
e wor
ksNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
AGER
OUTE
Ann
ual R
epor
tTa
ble of
indic
ators
Repo
rt of
the E
ngine
er in
char
ge of
supe
rvisio
nMi
nutes
of ac
cepta
nce
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
107
Loca
tion
of D
ata S
tora
geAG
EROU
TE an
d USA
C-Se
nega
l (PRR
Dire
ctora
te)IN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewNo
vemb
er20
14
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sc
ore (
out o
f 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
4,0
Use o
ther in
terme
diate
for ro
ad w
orks
. Ex:
Perce
ntage
of up
grad
es co
mplet
e (%
), Pe
rcenta
ge of
civil
wor
ks co
mplet
ed (%
) at (
i) su
b-ba
se; (
ii) ba
se; (
iii) su
rfacin
g; an
d (iv)
dr
ainag
e stag
es.
2. RE
LIABI
LITY
–Are
the d
ata co
llecti
on
proc
edur
es st
able
and c
onsis
tento
ver t
ime?
3,6N/
A
3. TI
MELIN
ESS-
Are t
he da
ta cu
rrent
and
frequ
ently
colle
cted?
4,0N/
A
4. PR
ECIS
ION
–Doe
s the
data
have
an
acce
ptable
mar
gin of
erro
r?4,0
N/A
5. IN
TEGR
ITY-
Is the
data
free f
rom
manip
ulatio
n?4,0
N/A
6. AP
PROP
RIAT
ENES
S –T
o wha
t exte
nt do
the i
ndica
tors f
ully p
ortra
y the
resu
lts?
4,0N/
A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
N/A
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
10
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
108
Over
all as
sess
men
t 3,9
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
nsan
d sig
nific
ance
Not A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
0Ol
d Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f old
Bas
eline
Road
s Reh
abilit
ation
Pro
ject W
ork P
lan
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
10-2
011
Sour
ce o
f New
Bas
eline
Road
s Reh
abilit
ation
Pro
ject W
ork P
lan
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if an
y)Oc
t 201
3 -Se
pt. 20
140
0Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
4 -Se
pt. 20
1525
225
2Ex
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsLo
ng T
erm
Tar
get
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsCO
MMEN
TSSU
PPLE
MENT
ARY
DOCU
MENT
ATIO
N FO
R DE
TAIL
ED C
ALCU
LATI
ONS
(if re
quire
d)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
109
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
110
3.11.
Indi
cato
r RRP
.11.K
ilom
eter
s of r
oads
com
plet
ed
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eKi
lomete
rs of
road
s com
pleted
Vers
ion
N° 03
/ Sep
t201
5Co
mm
on In
dica
tor N
umbe
r(R
-8)
Curre
nt In
dica
tor N
umbe
rRR
P.11
All P
revio
us In
dica
tor N
umbe
rsRR
P.19
/RRP
.21Le
vel
Outpu
tCl
assif
icatio
nCu
mulat
iveUn
it of
Mea
sure
*Ki
lomete
rs
Deta
iled
Defin
ition
The l
ength
of ro
ads i
n kilo
meter
s on w
hich c
onstr
uctio
n of n
ew ro
ads o
r rec
onstr
uctio
n, re
habil
itatio
n, re
surfa
cing o
r upg
radin
g of e
xistin
g roa
ds is
comp
lete
(certif
icates
hand
ed ov
er an
d app
rove
d)Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
YES
(RN2
/ RN6
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
prov
ides i
nform
ation
on th
e len
gth in
kilom
eters
on w
hich t
he co
nstru
ction
of R
N#2a
nd R
N#6e
nds (
certif
icates
su
bmitte
d and
appr
oved
, pro
vision
al an
d fina
l acc
eptan
ce m
ade)
. It is
anind
icator
prop
osed
on th
e list
of co
mmon
indic
ators.
See
"G
uidan
ce on
Com
mon I
ndica
tor, M
ay 20
12" M
CC.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?No
t App
licab
leHo
wdo
es th
e ind
icato
r lin
k to
the B
A?No
t App
licab
leHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct
evalu
atio
n?No
t App
licab
le
Just
ifica
tion
for D
isagg
rega
tions
Not A
pplic
able
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Da
ta at
AGE
ROUT
E:Ma
mado
u NDA
OPh
one
+221
7733
3 89 1
6E-
mnda
o@ag
erou
te.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Da
taEn
ginee
rs’ F
irms i
n cha
rge o
f sup
ervis
ing R
N2an
d RN6
reha
bilita
tionw
orks
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g any
calcu
lation
s com
puted
by
sour
ce)
Coun
ting t
he km
of R
N#2a
nd R
N#6r
oads
prov
ision
ally o
r fina
lly ac
cepte
d
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to
resp
onde
ntNo
t App
licab
le
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed
from
sour
ce to
USA
CTh
e data
is tr
ansm
itted b
y the
PRR
thro
ugh t
he an
nual
and q
uarte
rly re
ports
. Bes
ides,
the M
ED m
eets
the R
RPto
colle
ct all
the r
aw
data
requ
ired t
o calc
ulate
the in
dicato
r.Fr
eque
ncya
nd ti
min
g of
dat
a acq
uisit
ion
QUAR
TERL
YNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
111
PRR
quar
terly
and a
nnua
l repo
rts
Table
of in
dicato
rsPM
U-AG
EROU
TE qu
arter
ly an
d ann
ual re
ports
Ta
ble of
indic
ators
Month
ly an
d qua
rterly
repo
rts of
the e
ngine
er in
char
ge of
supe
rvisin
gthe
reha
bilita
tion w
orks
Table
of in
dicato
rsLo
catio
n of
Dat
a Sto
rage
Road
s Reh
abilit
ation
Pro
ject D
irecto
rate,
PMU
-AGE
ROUT
E, S
uper
vision
Con
sulta
nt IN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewN/
A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e Sc
ore (
out o
f 4)
Reco
mmen
datio
ns
1. VA
LIDIT
Y –D
oes t
he da
ta cle
arly
repr
esen
t the d
esire
d res
ults?
4,0N/
A2.
RELIA
BILIT
Y –A
re th
e data
colle
ction
proc
edur
es st
able
and c
onsis
tent o
ver t
ime?
3,6N/
A3.
TIME
LINES
S-Ar
e the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
N/A
4. PR
ECIS
ION
–Doe
s the
data
have
an ac
cepta
ble m
argin
of er
ror?
4,0N/
A5.
INTE
GRIT
Y-Is
the da
ta fre
e fro
m ma
nipula
tion?
4,0N/
A6.
APPR
OPRI
ATEN
ESS
–To w
hat e
xtent
do th
e ind
icator
s full
y por
tray t
he re
sults
?4,0
N/A
7. PR
ACTI
CABI
LITY-
Is the
data
curre
nt an
d fre
quen
tly co
llecte
d?4,0
N/A
Over
all as
sess
men
t 3,9
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Not A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Not A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
t App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilit
e
RRP.
11
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
112
Old
Base
line
0Ol
d Ba
selin
e Yea
r20
10-2
011
Sour
ce o
f old
Bas
eline
Road
s Reh
abilit
ation
Pro
ject W
ork P
lanNe
w Ba
selin
e0
New
Base
line Y
ear
2010
-201
1So
urce
of N
ew B
aseli
neRo
ads R
ehab
ilitati
on P
rojec
t Wor
k Plan
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
New
Indica
tor
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
etso
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
00
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
1212
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
234
234
Expl
anat
ion
ofas
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
372
372
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Long
Ter
m T
arge
tOl
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
113
3.12
.In
dica
tor R
RP.12
. Per
cent
age o
f the
requ
ired
annu
al bu
dget
mob
ilized
for r
oad
netw
ork m
ainte
nanc
eIN
DICA
TOR
BASI
C DE
TAIL
SIn
dica
tor N
ame
Perce
ntage
of th
e req
uired
annu
al bu
dget
mobil
ized f
or ro
ad ne
twor
k main
tenan
ceVe
rsio
nN°
04/O
ct.20
15Co
mm
on In
dica
tor N
umbe
rNo
tApp
licab
leCu
rrent
Indi
cato
r Num
ber
RRP.
12.
All P
revio
us In
dica
tor N
umbe
rsNe
w Ind
icator
Nive
auOu
tcome
Clas
sifica
tion
Leve
lUn
it of
Mea
sure
*Pe
rcenta
ge
Deta
iled
Defin
ition
Perce
ntage
ofthe
budg
et re
quire
d for
annu
al ma
inten
ance
that
is ac
tually
prov
ided t
o AGE
ROUT
E. T
his is
calcu
lated
by di
viding
”bud
get w
ith co
nstra
int” a
nd
the “b
udge
t with
out c
onstr
aint.”
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
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for I
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cato
rTh
e ind
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show
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t of th
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ual b
udge
t rea
lly m
obiliz
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FER
A an
d ded
icated
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e main
tenan
ce of
the
road
netw
ork w
ith re
gard
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e ann
ual p
rojec
ted bu
dget
nece
ssar
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hole
road
netw
ork.
As su
ch, it
will
allow
mea
surin
gthe
effor
t disp
layed
by th
e Sen
egale
se S
tate t
o fac
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degr
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the r
oad n
etwor
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rega
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How
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ifica
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R AC
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r Col
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ta
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avail
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ces t
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ntatio
n of th
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tenan
ce an
d sus
taina
bility
prog
ram
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mplet
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ad in
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uctur
e.Fr
eque
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nd ti
min
g of
dat
a acq
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YEAR
LYNa
mes
of v
erifi
catio
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urce
sMe
ans o
f ver
ifica
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Repo
rts fr
omAG
EROU
TERe
port
of the
main
tenan
ce an
d sus
taina
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prog
ram
of ro
ad in
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uctur
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Budg
et Co
nsoli
dé d’
Inves
tisse
ment
(BCI
)Ta
xe su
r les p
rodu
its pé
trolie
rs (T
SPP)
Taxe
d’us
age s
ur la
rote
(TUR
)Lo
catio
n of
Dat
a Sto
rage
AGER
OUTE
INDI
CATO
R DA
TA Q
UALI
TY
Mille
nniu
m C
halle
nge
Acc
ount
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égal
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CA
-Sén
égal
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Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
114
Date
of D
ata Q
ualit
y Rev
iewN/
A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of 4)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s do
nnée
s son
t-elle
s stab
les et
cons
istan
tes da
ns le
temp
s ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s ac
tuelle
s et fr
éque
mmen
t coll
ectée
s?TB
D
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
man
ipulat
ions?
TBD
6.AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
ind
icateu
rs ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles
actue
lles e
t fréq
uemm
ent c
ollec
tées?
TBD
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Non A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Non A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
n App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
12
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
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CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
115
Old
Base
line
N/A
Old
Base
line Y
ear
2015
Sour
ce o
f old
Bas
eline
AGER
OUTE
wor
k plan
New
Base
line
Unav
ailab
leNe
w Ba
selin
e Yea
r 20
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of N
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TION
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1Ol
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wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
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catio
n fo
r cha
nges
to
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ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
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wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Cible
post
comp
act
Old
New
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
116
3.13.
Indi
cato
r RRP
.13. P
erce
ntag
e of p
aved
road
s main
tain
ed
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
ePe
rcenta
ge of
pave
d roa
ds m
aintai
ned
Vers
ion
N° 04
/Oct.
2015
Com
mon
Indi
cato
r Num
ber
NotA
pplic
able
Curre
nt In
dica
tor N
umbe
rRR
P.13
.Al
l Pre
vious
Indi
cato
r Num
bers
New
Indica
torNi
veau
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Perce
ntage
Deta
iled
Defin
ition
The p
erce
ntage
of pa
ved r
oads
main
taine
d in g
ood a
nd av
erag
e con
dition
base
d ont
he fr
amew
ork f
orthe
imple
menta
tion o
f the m
ainten
ance
and
susta
inabil
ity pr
ogra
m of
comp
leted
road
infra
struc
ture.
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
infor
ms on
the e
ffort
made
in or
der t
o main
tain t
he qu
ality
of re
habil
itated
road
s. Th
e Stat
e of S
eneg
al is
imple
menti
ng a
maint
enan
ce an
d sus
taina
bility
prog
ram
of ro
ad in
frastr
uctur
e car
ried o
ut so
that
to ma
intain
a sa
tisfac
tory l
evel
of ro
ad se
rvice
thro
ugho
ut the
terri
tory.
The i
ndica
tor pr
ovide
s info
rmati
on on
the l
evel
of ro
ad se
rvice
(poo
r, av
erag
e and
ac
cepta
ble)
How
does
the i
ndica
tor l
ink t
o th
e ERR
?N/
AHo
w do
es th
e ind
icato
r lin
k to
the B
A?N/
AHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct ev
aluat
ion?
N/A
Just
ifica
tion
for D
isagg
rega
tions
N/A
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
AGER
OUTE
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6E-
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te.sn
Entit
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aAG
EROU
TE an
d a C
onsu
ltant
selec
ted by
MCC
Deta
iled
desc
riptio
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dat
a col
lectio
n m
etho
dolo
gy (in
cludin
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y calc
ulatio
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mpute
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ource
)Th
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icator
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be co
llecte
d ann
ually
on th
e bas
is of
summ
ary i
nspe
ction
s in t
he fr
amew
ork o
f the i
mplem
entat
ion of
the
maint
enan
ce an
d sus
taina
bility
prog
ram
of co
mplet
ed ro
ad in
frastr
uctur
es.
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
Chec
k the
avail
abilit
y of fi
nanc
ial re
sour
ces t
o ens
ure t
he im
pleme
ntatio
n of th
e main
tenan
ce an
d sus
taina
bility
prog
ram
of co
mplet
ed ro
ad in
frastr
uctur
es.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nYE
ARLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nRe
ports
from
AGER
OUTE
Repo
rt of
the m
ainten
ance
and s
ustai
nabil
ity pr
ogra
m of
road
infra
struc
ture
Budg
et Co
nsoli
dé d’
Inves
tisse
ment
(BCI
)Ta
xe su
r les p
rodu
its pé
trolie
rs (T
SPP)
Taxe
d’us
age s
ur la
rote
(TUR
)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
117
Loca
tion
of D
ata S
tora
geAG
EROU
TEIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewN/
A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of4)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s do
nnée
s son
t-elle
s stab
les et
cons
istan
tes da
ns le
tem
ps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s ac
tuelle
s et fr
éque
mmen
t coll
ectée
s?TB
D
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
man
ipulat
ions?
TBD
6.AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
ind
icateu
rs ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles
actue
lles e
t fréq
uemm
ent c
ollec
tées?
TBD
Évalu
atio
n Gl
obale
TBD
- 1.0
2.0
3.0
4.0
Valid
ite
Fiab
ilite
Opp
ortu
nite
Prec
ision
Inte
grite
Adeq
uatio
n
Prat
icab
ilite
RRP.
13
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
118
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Non A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Non A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
n App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
N/A
Old
Base
line Y
ear
2015
Sour
ce o
f old
Bas
eline
AGER
OUTE
wor
k plan
New
Base
line
Unav
ailab
leNe
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neAG
EROU
TE w
ork p
lanJu
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)Ne
w ind
icator
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
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catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Cible
post
comp
act
Old
New
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
119
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
120
3.14.
Indi
cato
r RRP
.14. T
he vi
sual
stat
e of t
he ro
ad n
etwo
rk
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eTh
e visu
al sta
te of
the ro
ad ne
twor
kVe
rsio
nN°
04/O
ct.20
15Co
mm
on In
dica
tor N
umbe
rNo
tApp
licab
leCu
rrent
Indi
cato
r Num
ber
RRP.
14.
All P
revio
us In
dica
tor N
umbe
rsNe
w Ind
icator
Nive
auOu
tcome
Clas
sifica
tion
Leve
lUn
it of
Mea
sure
*Pe
rcenta
ge
Deta
iled
Defin
ition
It is a
n ind
icator
of ro
ads s
tatus
meas
ured
by ca
tegor
ical ra
tings
(bad
, ave
rage
and g
ood)
of th
e nati
onal
road
netw
ork.
The i
ndica
toris
expr
esse
d as
the
perce
ntage
of go
od an
d ave
rage
road
swith
in the
netw
ork.
Freq
uenc
y of R
epor
ting
ANNU
ALRe
porti
ng P
erio
d Co
vere
dPo
st-Co
mpac
t Per
iod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
YES
(RN2
/RN6
)IN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
Indi
cato
r
The i
ndica
tor gi
ves a
n app
recia
tion o
f the q
uality
of re
habil
itated
road
. Sen
egale
se S
tate i
mplem
ents
the P
rogr
am of
Ma
inten
ance
and t
he S
ustai
nabil
ity of
the r
oad i
nfras
tructu
re re
alize
d with
the a
im of
main
tainin
g a le
vel o
f roa
d ser
vice
satis
fying
the w
hole
territo
ry. T
he in
dicato
r infor
ms ab
out th
e lev
el of
the ro
ad se
rvice
(bad
, ave
rage
and g
ood)
on re
habil
itated
se
ction
s on t
he R
N2 an
d RN6
. Bes
ides,
it will
allow
follo
wing
the i
mpac
t of th
e bud
get a
ssign
ed to
the r
oad n
etwor
k ma
inten
ance
.Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
N/A
How
does
the i
ndica
tor l
ink t
o th
e BA?
N/A
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?N/
AJu
stifi
catio
n fo
r Disa
ggre
gatio
nsTh
e ind
icator
can b
e disa
ggre
gated
by lo
cality
(RN2
/RN6
), an
d also
by Lo
t in th
e RN6
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
AGER
OUTE
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mado
u NDA
OPh
one
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6E-
mnda
o@ag
erou
te.sn
Entit
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for t
he co
llect
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rimar
y Dat
aAG
EROU
TE an
d a C
onsu
ltant
selec
ted by
MCC
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g an
y calc
ulatio
ns co
mpute
d by s
ource
)Th
e ind
icator
will
be co
llecte
d ann
ually
on th
e bas
is of
summ
ary i
nspe
ction
s in t
he fr
amew
ork o
f the i
mplem
entat
ion of
the
maint
enan
ce an
d sus
taina
bility
prog
ram
of co
mplet
ed ro
ad in
frastr
uctur
es.
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
Chec
k the
avail
abilit
y of fi
nanc
ial re
sour
ces t
o ens
ure t
he im
pleme
ntatio
n of th
e main
tenan
ce an
d sus
taina
bility
prog
ram
of co
mplet
ed ro
ad in
frastr
uctur
es.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nYE
ARLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
nRe
ports
from
AGER
OUTE
Repo
rt of
the m
ainten
ance
and s
ustai
nabil
ity pr
ogra
m of
road
infra
struc
ture
Budg
et Co
nsoli
dé d’
Inves
tisse
ment
(BCI
)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
121
Taxe
sur le
s pro
duits
pétro
liers
(TSP
P)Ta
xe d’
usag
e sur
la ro
te (T
UR)
Loca
tion
of D
ata S
tora
geAG
EROU
TEIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewN/
A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of4)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s do
nnée
s son
t-elle
s stab
les et
cons
istan
tes da
ns le
tem
ps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s ac
tuelle
s et fr
éque
mmen
t coll
ectée
s?TB
D
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
man
ipulat
ions?
TBD
6. AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
ind
icateu
rs ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles
actue
lles e
t fréq
uemm
ent c
ollec
tées?
TBD
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Non A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Non A
pplic
able
Actio
ns ta
ken
toad
dres
s dat
a lim
itatio
nsNo
n App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
N/A
Old
Base
line Y
ear
2015
Sour
ce o
f old
Bas
eline
AGER
OUTE
wor
k plan
New
Base
line
71Ne
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neAG
EROU
TE w
ork p
lanJu
stifi
catio
n fo
r Bas
eline
Cha
nge (
if an
y)Ne
w ind
icator
INDI
CATO
R TA
RGET
CAL
CULA
TION
STa
rget
YEAR
1Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
010 -
Sept.
2011
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
N/A
N/A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
122
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Cible
post
comp
act
Old
New
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
123
3.15.
Indi
cato
r RRP
.15.D
eflec
tions
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eDe
flecti
ons
Vers
ion
N° 04
/Oct.
2015
Com
mon
Indi
cato
r Num
ber
NotA
pplic
able
Curre
nt In
dica
tor N
umbe
rRR
P.15
.Al
l Pre
vious
Indi
cato
r Num
bers
New
Indica
torNi
veau
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Numb
er
Deta
iled
Defin
ition
It is a
n ind
icator
of ro
ads s
tructu
ral s
treng
thme
asur
ed w
ith fa
lling-
weigh
t defl
ectom
etero
r sim
ilar(
FWD,
APF
, etc.
). De
flecti
ons v
alues
are e
xpre
ssed
in
terms
of hu
ndre
dths o
fmilli
meter
sand
are g
iven a
s the
max
imum
(ie w
orst)
value
for t
he ro
ad se
ction
. The
road
desig
n spe
cified
that d
eflec
tions
mus
t be
below
90/10
0 mm.
Freq
uenc
y of R
epor
ting
EVER
Y FI
VE Y
EARS
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
YES
(RN2
/RN6
Lot1/
RN6 L
ot2/R
N6 Lo
t3)
INDI
CATO
R JU
STIF
ICAT
ION
DETA
ILS
quali
ty
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
give
s an a
ppre
ciatio
n of th
e stru
cture
stre
ngth
of the
reha
bilita
ted ro
ad. S
eneg
alese
Stat
e imp
lemen
ts the
Pr
ogra
m of
Maint
enan
ce an
d the
Sus
taina
bility
of th
e roa
d infr
astru
cture
s rea
lized
with
the a
im of
main
tainin
g a le
vel o
f roa
d se
rvice
satis
fying
on th
e who
le ter
ritory.
Thu
s, thi
s ind
icator
is co
mbine
d with
othe
r indic
ators
to de
termi
ne m
ainten
ance
need
s.Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
N/A
How
does
the i
ndica
tor l
ink t
o th
e BA?
N/A
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?N/
AJu
stifi
catio
n fo
r Disa
ggre
gatio
nsTh
e ind
icator
can b
e disa
ggre
gated
by lo
cality
(RN2
/RN6
), an
d also
by Lo
t in th
e RN6
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
AGER
OUTE
Poin
t of C
onta
ct R
espo
nsib
le fo
r Col
lectin
g th
e Dat
a at
AGER
OUTE
:Ma
mado
u NDA
OPh
one
+221
7733
3 89 1
6E-
mnda
o@ag
erou
te.sn
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aAG
EROU
TE an
d a C
onsu
ltant
selec
ted by
MCC
Deta
iled
desc
riptio
n of
dat
a col
lectio
n m
etho
dolo
gy (in
cludin
g an
y calc
ulatio
ns co
mpute
d by s
ource
)Th
e ind
icator
will
be co
llecte
d eve
ry fiv
e yea
rs to
infor
mthe
main
tenan
ce an
d sus
taina
bility
prog
ram
of the
road
netw
ork.
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
dent
Deta
iled
desc
riptio
n of
how
dat
a is t
rans
mitt
ed fr
om so
urce
to
USAC
AGER
OUTE
is re
spon
sible
for sh
aring
the d
ata.
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nEV
ERY
FIVE
YEA
RSNa
mes
of v
erifi
catio
n so
urce
sMe
ans o
f ver
ifica
tion
Repo
rts fr
omAG
EROU
TERe
port
of the
main
tenan
ce an
d sus
taina
bility
prog
ram
of ro
ad in
frastr
uctur
e
Defle
ction
mea
sure
ments
Defle
ction
meas
urem
ents
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
124
Loca
tion
of D
ata S
tora
geAG
EROU
TEIN
DICA
TOR
DATA
QUA
LITY
Date
of D
ata Q
ualit
y Rev
iewN/
A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of4)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s do
nnée
s son
t-elle
s stab
les et
cons
istan
tes da
ns le
tem
ps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s ac
tuelle
s et fr
éque
mmen
t coll
ectée
s?TB
D
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
man
ipulat
ions?
TBD
6. AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
ind
icateu
rs ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles
actue
lles e
t fréq
uemm
ent c
ollec
tées?
TBD
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Non A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Non A
pplic
able
Actio
ns ta
ken
to ad
dres
s dat
a lim
itatio
nsNo
n App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
N/A
Old
Base
line Y
ear
2015
Sour
ce o
f old
Bas
eline
New
Base
line
RN2
70Ne
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neAG
EROU
TE D
eflec
tion r
epor
t; RN
6 Lot
1 was
not y
et co
mplet
ed as
of th
e Com
pact
End D
ateRN
6 Lot1
N/A
RN6 L
ot268
RN6 L
ot373
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
New
indica
torIN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
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hang
es to
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rget
s or c
alcul
atio
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f any
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t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
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rget
calcu
latio
ns
Mille
nniu
m C
halle
nge
Acc
ount
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égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
125
YEAR
2Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
011 -
Sept.
2012
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
3Ol
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wJu
stifi
catio
n fo
r cha
nges
to
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ets o
r calc
ulat
ions
(if a
ny)
Oct 2
012 -
Sept.
2013
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Cible
post
comp
act
Old
New
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
126
3.16.
Indi
cato
r RRP
.16.N
umbe
r of f
unct
ioni
ng g
arde
n pl
ots
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eNu
mber
of fu
nctio
ning g
arde
n plot
sVe
rsio
nN°
04 / O
ct. 20
15Co
mm
on In
dica
tor N
umbe
rNo
t App
licab
leCu
rrent
Indi
cato
r Num
ber
RRP.
16.
All P
revio
us In
dica
tor N
umbe
rsNe
w Ind
icator
Ni
veau
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Numb
er
Deta
iled
Defin
ition
The i
ndica
tor w
ill me
asur
e the
func
tiona
lity of
the g
arde
ning p
lots.
To be
cons
idere
d fun
ction
al, at
leas
t half
of the
plot
must
be pl
anted
at le
ast o
nce p
er
year
.Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
S
Just
ifica
tion
for I
nclu
ding
Indi
cato
rTh
e ind
icator
give
s an a
ppre
ciatio
n of th
e fun
ction
ality
of the
gard
en pl
ots. T
he ga
rden
ing pl
ots th
at ar
e not
functi
onal
may
suffe
r fro
m tw
o pro
blems
: eith
er th
e wor
ks w
ere n
ot fin
ished
or th
ere i
s the
prob
lem w
ith op
erati
on (w
ater a
valib
ility,
lack o
f tec
hnica
l sup
port,
lack
of in
puts,
etc.)
. Ho
w do
es th
e ind
icato
r lin
k to
the E
RR?
N/A
How
does
the i
ndica
tor l
ink t
o th
e BA?
N/A
How
does
the i
ndica
tor l
ink t
o th
e im
pact
evalu
atio
n?N/
AJu
stifi
catio
n fo
r Disa
ggre
gatio
nsN/
AIN
DICA
TOR
ACQU
ISIT
ION
PLAN
Entit
y Res
pons
ible
for C
ollec
ting
Data
US
ACPo
int o
f Con
tact
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pons
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for C
ollec
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the D
ata a
t AG
EROU
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Mam
adou
Ass
ane
NIA
NG
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e+2
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733
3 07
96E-
assa
nian
g@gm
ail.c
om
Entit
y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aUS
ACDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding
any c
alcula
tions
comp
uted b
y sou
rce)
The i
ndica
tor w
ill be
colle
cted a
nnua
lly by
USA
C.
If su
rvey
dat
a, ve
rbat
im q
uest
ion(
s) p
osed
to re
spon
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Deta
iled
desc
riptio
n of
how
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a is t
rans
mitt
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om so
urce
to
MCA
USAC
will
fill ou
t the I
TT
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nYE
ARLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
n
Repo
rtsfro
m US
ACNu
mber
of ga
rden
ing pl
ots fu
nctio
nal
Loca
tion
of D
ata S
tora
geUS
AC
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
127
INDI
CATO
R DA
TA Q
UALI
TYDa
te o
f Dat
a Qua
lity R
eview
N/A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of4)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s do
nnée
s son
t-elle
s stab
les et
cons
istan
tes da
ns le
tem
ps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s ac
tuelle
s et fr
éque
mmen
t coll
ectée
s?TB
D
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
man
ipulat
ions?
TBD
6. AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
ind
icateu
rs ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles
actue
lles e
t fréq
uemm
ent c
ollec
tées?
TBD
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Non A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Non A
pplic
able
Actio
ns ta
ken
toad
dres
s dat
a lim
itatio
nsNo
n App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
N/A
Old
Base
line Y
ear
2015
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ce o
f old
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eline
N/A
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neUS
ACre
ports
Just
ifica
tion
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aseli
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hang
e (if
any)
New
indica
torIN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
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New
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ifica
tion
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hang
es to
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rget
s or c
alcul
atio
ns (i
f any
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t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
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inpu
ts
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rget
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latio
nsYE
AR 2
Old
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ifica
tion
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hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
12N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
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rget
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latio
nsYE
AR 3
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New
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nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
128
Oct 2
012 -
Sept.
2013
N/A
N/A
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
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plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 4
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
3 -Se
pt. 20
14N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
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rget
calcu
latio
nsYE
AR 5
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
4 -Se
pt. 20
15N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
ns
Cible
post
comp
act
Old
New
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
129
3.17.
Indi
cato
r RRP
.17. N
umbe
r of b
orro
wpi
ts re
habi
litat
ed
INDI
CATO
R BA
SIC
DETA
ILS
Indi
cato
r Nam
eNu
mber
of bo
rrow
pitsr
ehab
ilitate
dVe
rsio
nN°
04 / O
ct. 20
15Co
mm
on In
dica
tor N
umbe
rNo
t App
licab
leCu
rrent
Indi
cato
r Num
ber
RRP.
17.
All P
revio
us In
dica
tor N
umbe
rsNe
w Ind
icator
Ni
veau
Outco
meCl
assif
icatio
nLe
vel
Unit
of M
easu
re*
Numb
er
Deta
iled
Defin
ition
The i
ndica
tor w
ill giv
e an a
ppre
ciatio
n of th
e exte
nt of
borro
wpit
reh
abilit
ation
. The
reha
bilita
tion c
onsis
t of le
velin
g, re
fores
tation
, pas
toral
drink
ing po
nd
and p
rotec
tionm
easu
res.
The i
ndica
tor co
ncer
ns on
ly the
Lot 1
of th
e RN6
.Fr
eque
ncy o
f Rep
ortin
gAN
NUAL
Repo
rting
Per
iod
Cove
red
Post-
Comp
act P
eriod
Disa
ggre
gatio
ns
By ge
nder
(YES
/NO)
NOBy
age (
YES/
NO)
NOBy
inco
me (Y
ES/N
O)NO
By lo
cality
(YES
/NO)
NOIN
DICA
TOR
JUST
IFIC
ATIO
N DE
TAIL
SJu
stifi
catio
n fo
r Inc
ludi
ng In
dica
tor
The i
ndica
tor sh
ows t
he ex
tent o
f bor
row-
pits r
ehab
ilitati
on fo
r tho
se th
at we
re no
t yet
comp
leted
at th
e end
of th
e com
pact.
How
does
the i
ndica
tor l
ink t
o th
e ERR
?N/
AHo
w do
es th
e ind
icato
r lin
k to
the B
A?N/
AHo
w do
es th
e ind
icato
r lin
k to
the i
mpa
ct ev
aluat
ion?
N/A
Just
ifica
tion
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isagg
rega
tions
N/A
INDI
CATO
R AC
QUIS
ITIO
N PL
ANEn
tity R
espo
nsib
le fo
r Col
lectin
g Da
ta
USAC
Poin
t of C
onta
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espo
nsib
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e Dat
a at
AGER
OUTE
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mado
u Ass
ane
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assa
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m
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y Res
pons
ible
for t
he co
llect
ion
of p
rimar
y Dat
aUS
ACDe
taile
d de
scrip
tion
of d
ata c
ollec
tion
met
hodo
logy
(inclu
ding
any c
alcula
tions
comp
uted b
y sou
rce)
The i
ndica
tor w
ill be
colle
cted a
nnua
lly by
USA
C.
If su
rvey
dat
a, ve
rbat
imqu
estio
n(s)
pos
ed to
resp
onde
ntDe
taile
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scrip
tion
of h
ow d
ata i
s tra
nsm
itted
from
sour
ce
toUS
ACUS
AC w
ill fill
out th
e ITT
Freq
uenc
y and
tim
ing
of d
ata a
cqui
sitio
nYE
ARLY
Nam
es o
f ver
ifica
tion
sour
ces
Mean
s of v
erifi
catio
n
Repo
rts fr
om U
SAC
Numb
er of
of bo
rrow-
pits r
ehab
ilitate
d
Loca
tion
of D
ata S
tora
geUS
ACIN
DICA
TOR
DATA
QUA
LITY
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
130
Date
of D
ata Q
ualit
y Rev
iewN/
A
Main
find
ings
of d
ata q
ualit
y rev
iewAv
erag
e sco
re
(on a
scale
of4)
Reco
mman
datio
ns
1. VA
LIDIT
É -L
es do
nnée
s rep
rése
ntent-
elles
le
résu
ltat d
ésiré
de fa
çon s
atisfa
isante
?TB
D
2. FI
ABILI
TÉ -
Les p
rocé
dure
s de c
ollec
te de
s do
nnée
s son
t-elle
s stab
les et
cons
istan
tes da
ns le
tem
ps ?
TBD
3. OP
PORT
UNIT
É -L
es do
nnée
s son
t-elle
s ac
tuelle
s et fr
éque
mmen
t coll
ectée
s?TB
D
4. PR
ÉCIS
ION
-Les
donn
ées o
nt-ell
es un
e mar
ge
d’erre
ur ac
cepta
ble?
TBD
5. IN
TÉGR
ITÉ-
Les d
onné
es so
nt-ell
es ex
empte
s de
man
ipulat
ions?
TBD
6. AD
ÉQUA
TION
-Da
ns qu
elle m
esur
e les
ind
icateu
rs ca
racté
risen
t plei
neme
nt les
résu
ltats?
TBD
7. PR
ACTI
CABI
LITÉ
-Les
donn
ées s
ont-e
lles
actue
lles e
t fréq
uemm
ent c
ollec
tées?
TBD
Évalu
atio
n Gl
obale
TBD
Actio
n ta
ken
in re
spon
se to
dat
a qua
lity r
eview
Non A
pplic
able
Know
n da
ta lim
itatio
ns an
d sig
nific
ance
Non A
pplic
able
Actio
ns ta
ken
toad
dres
s dat
a lim
itatio
nsNo
n App
licab
leIN
DICA
TOR
BASE
LINE
INFO
RMAT
ION
Old
Base
line
N/A
Old
Base
line Y
ear
2015
Sour
ce o
f old
Bas
eline
N/A
New
Base
line
0Ne
w Ba
selin
e Yea
r 20
15So
urce
of N
ew B
aseli
neUS
ACre
ports
Just
ifica
tion
for B
aseli
ne C
hang
e (if
any)
New
indica
torIN
DICA
TOR
TARG
ET C
ALCU
LATI
ONS
Targ
etYE
AR 1
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
0 -Se
pt. 20
11N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 2
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
1 -Se
pt. 20
12N/
AN/
AEx
plan
atio
n of
assu
mpt
ions
and
inpu
ts
to ta
rget
calcu
latio
nsYE
AR 3
Old
New
Just
ifica
tion
for c
hang
es to
ta
rget
s or c
alcul
atio
ns (i
f any
)Oc
t 201
2 -Se
pt. 20
13N/
AN/
A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
131
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
4Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
013 -
Sept.
2014
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
YEAR
5Ol
dNe
wJu
stifi
catio
n fo
r cha
nges
to
targ
ets o
r calc
ulat
ions
(if a
ny)
Oct 2
014 -
Sept.
2015
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
Cible
post
comp
act
Old
New
N/A
N/A
Expl
anat
ion
of as
sum
ptio
ns an
d in
puts
to
targ
et ca
lculat
ions
COMM
ENTS
SUPP
LEME
NTAR
Y DO
CUME
NTAT
ION
FOR
DETA
ILED
CAL
CULA
TION
S (if
requ
ired)
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
132
TARG
ET V
ALUE
S OF
MCA
_SEN
EGAL
’S P
ERFO
RMAN
CES
INDI
CATO
RS
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
133
4.Ta
rget
valu
es o
f MCA
-Sen
egal’
sper
form
ance
indi
cato
rs
Indi
cato
rUn
itsIn
dica
tor
Clas
sifica
tion
Type
Base
line
Base
line
year
Year
1Ye
ar 2
Year
3Ye
ar 4
Year
5Lo
ng T
erm
Oct.
2010
-Se
pt. 2
011
Oct.
2011
-Se
pt. 2
012
Oct.
2012
-Se
pt. 2
013
Oct.
2013
-Se
pt. 2
014
Oct.
2014
-Se
pt. 2
015
PROG
RAM
P ind
icator
1: R
ate of
varia
tion o
f ben
eficia
ries’
net in
come
draw
n fro
m the
Irrig
ation
Pro
ject
Perce
ntage
Leve
l0
2011
-12
035
P ind
icator
2:Ch
ange
in ve
hicle
oper
ating
co
sts pe
r trip
/kilom
eter f
or th
e RN2
US$
Leve
l0
2010
0.05
N/A
Pind
icator
3:Ch
ange
in ve
hicle
oper
ating
co
sts pe
r trip
/kilom
eter f
or th
e RN6
US$
Leve
l0
2010
0.16
N/A
IRRI
GATI
ON A
ND W
ATER
RES
OURC
ES M
ANAG
EMEN
T PR
OJEC
TIW
RM in
dicato
r 1: R
ice P
addy
Pro
ducti
on
(Delt
a / N
galen
ka)
Tons
Leve
l10
2,000
2010
-11
102,0
0010
7,000
107,0
0010
7,000
111,0
0027
7 000
IWRM
indic
ator 2
: Tom
ato pr
oduc
tion
(Delt
a and
Nga
lenka
) To
nsLe
vel
12,70
020
10-1
112
,700
14,20
014
,200
14,20
035
,500
115 0
00
IWRM
indic
ator 3
: Onio
n pro
ducti
on
(Delt
a and
Nga
lenka
)To
nsLe
vel
10,90
020
10-1
110
,900
16,00
016
,000
16,00
040
,000
130 0
00
IWRM
indic
ator 4
: Cro
pping
inten
sity (
Delta
)Pe
rcenta
geLe
vel
60%
2011
-12
60%
60%
60%
60%
70%
150%
IWRM
indic
ator 5
: Cro
pping
inten
sity
(Nga
lenka
)Pe
rcenta
geLe
vel
20%
2010
-11
20%
20%
0%10
0%12
0%18
0%
IWRM
indic
ator 6
: Tota
l are
a with
impr
oved
irr
igatio
n infr
astru
cture
(Delt
a and
Nga
lenka
)Ha
Leve
l34
,848
2010
-11
34,84
836
,541
37,55
438
,381
38,38
142
721
IWRM
indic
ator 7
: Hec
tares
unde
r pro
ducti
on
acro
ss cr
oppin
g sea
sons
Ha
Leve
l21
,400
2010
-11
20,30
020
,300
20,30
020
,300
23,60
056
600
IWRM
indic
ator 8
:Tota
l flow
mea
sure
d (Q)
at
the R
onkh
and G
wor
ksRa
teLe
vel
2020
11-1
220
2020
2065
N/A
IWRM
indic
ator 9
:Num
ber o
f hec
tares
for
maliz
ed (h
aving
a lan
d allo
catio
n title
and
regis
tered
)Ha
Cumu
lative
020
10-1
10
00
748
3,44
0N/
A
IWRM
indic
ator1
0: Pe
rcenta
ge of
land
dis
putes
reso
lved
Perce
ntage
Leve
l(C
umula
tive)
020
10-1
10
00
3050
50
IWRM
indic
ator1
1: Co
nflict
s suc
cess
fully
media
tedNu
mber
Cumu
lative
020
11-1
20
0N/
AN/
AN/
A
IWRM
indic
ator1
2.: P
arce
ls co
rrecte
d or
incor
pora
ted in
land
syste
mPa
rcels
Cumu
lative
020
11-1
20
5,694
5,787
5,787
N/A
IWRM
indic
ator1
3: La
nd rig
hts fo
rmali
zed
1Nu
mber
Cumu
lative
020
11-1
20
060
02,5
0025
00IW
RM in
dicato
r14:
Numb
er of
land
ma
nage
ment
comm
ittees
and c
ommi
ssion
s se
t up o
r impr
oved
upon
Numb
erCu
mulat
ive0
2010
-11
99
99
9N/
A
1Th
is ind
icator
refer
s to h
ouse
holds
, bus
iness
es an
d leg
al en
tities
holdi
ng fo
rmali
zed l
and r
ights
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
134
Indi
cato
rUn
itsIn
dica
tor
Clas
sifica
tion
Type
Base
line
Base
line
year
Year
1Ye
ar 2
Year
3Ye
ar 4
Year
5Lo
ng T
erm
Oct.
2010
-Se
pt. 2
011
Oct.
2011
-Se
pt. 2
012
Oct.
2012
-Se
pt. 2
013
Oct.
2013
-Se
pt. 2
014
Oct.
2014
-Se
pt. 2
015
Indica
tor IW
RM.15
.:To
tal le
ngth
of ma
in dr
ainag
e can
als an
d outf
alls s
ervic
ed (r
aked
an
d/or c
leane
d out)
annu
ally
Kilom
eters
Leve
l11
620
15N/
AN/
AN/
AN/
AN/
AN/
A
Indica
tor IW
RM.16
.:Nu
mber
of pu
mps
servi
ced a
nnua
llyNu
mber
Leve
l11
520
15N/
AN/
AN/
AN/
AN/
AN/
A
ROAD
SRE
HABI
LITA
TION
PRO
JECT
RRP
Indica
tor 1:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) R
ichar
d-To
ll –Nd
ioum
Numb
erLe
vel
1,029
2011
-12
1,029
1,116
2,029
RRP
Indica
tor 2:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) Z
iguinc
hor –
Tana
ffNu
mber
Leve
l57
120
0757
196
31,5
10
RRP
Indica
tor 3:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) T
anaff
–Ko
ldaNu
mber
Leve
l30
120
0730
156
284
9
RRP
Indica
tor 4:
Ave
rage
annu
al da
ily tr
affic
(AAD
T) K
olda –
Koun
kané
Numb
erLe
vel
798
2007
798
1,426
2,095
RRP
Indica
tor 5:
Rate
of ch
ange
in th
e du
ratio
n of tr
avel
time o
n RN#
2Pe
rcenta
geLe
vel
020
11-1
20
-15
-15
RRP
Indica
tor 6:
Rate
of ch
ange
in th
e du
ratio
n of tr
avel
time o
n RN#
6Pe
rcenta
geLe
vel
020
11-1
20
-50
-50
RRP
Indica
tor 7:
Rou
ghne
ss (R
N2)
m/km
Leve
l3.2
2011
-12
3.22.4
N/A
Indica
teur R
RP.8.
: Rou
ghne
ss (R
N6)
m/km
Leve
l13
.020
11-1
213
.02.5
N/A
RRP
Indica
tor.9.
: Roa
d tra
ffic fa
talitie
sNu
mber
Leve
l43
2013
-14
N/A
N/A
N/A
RRP
Indica
tor 10
: Kilo
meter
s of r
oads
re
habil
itated
on R
N#6
KmCu
mulat
ive0
2010
-11
00
00
252
N/A
RRP
Indica
tor 11
: Kilo
meter
s of r
oads
co
mplet
edKm
Cumu
lative
020
10-1
10
012
234
372
N/A
Indica
tor R
RP.12
. : Pe
rcenta
ge of
the r
equir
ed
annu
al bu
dget
mobil
ized f
orro
ad ne
twor
k ma
inten
ance
Perce
ntage
Leve
lUn
avail
able
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.13
. : Pe
rcenta
ge of
pave
d ro
ads m
aintai
ned
Perce
ntage
Leve
lUn
avail
able
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.14
. : Th
e visu
al sta
te of
the
road
netw
ork
Perce
ntage
Leve
l71
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.15
. : De
flecti
ons
Numb
erLe
velLe
vel
RN2
70
2015
N/A
N/A
N/A
N/A
N/A
N/A
RN6
Lot1
N/A
RN6
Lot2
68
RN6
Lot3
73
Indica
tor R
RP.16
. : Nu
mber
of fu
nctio
nal
gard
en pl
otsNu
mber
Leve
lLeve
l0
2015
N/A
N/A
N/A
N/A
N/A
N/A
Indica
tor R
RP.17
. : Nu
mber
of bo
rrow
pits
reha
bilita
tedNu
mber
Leve
l0
2015
N/A
N/A
N/A
N/A
N/A
N/A
Mille
nniu
m C
halle
nge
Acc
ount
Sén
égal
(M
CA
-Sén
égal
)
Mem
oran
dum
to th
e M
onito
ring
and
Eva
luat
ion
Pla
n–V
ersi
on N
° 03
–S
ept,
2015
135