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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



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



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.



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



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



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.



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



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



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



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



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



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



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



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.



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).



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?



(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.



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.



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.



ANNEXES



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



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

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

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

ourc

es M

anag

emen

t Pro

ject

Prob

lemAc

tiviti

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-Act

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s (Ye

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2010

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15Sh

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Out

com

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(Yea

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Medi

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ong-

term

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(Yea

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10)

2016

-20

20

Impa

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(Yea

rs 10

-20)

Activityin theDelta ($159.4m)

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agric

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ldsTh

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of la

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aban

done

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w ag

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or qu

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Insuff

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ilabil

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wate

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36 km

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of pr

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Delta

, CI

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-27

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ns of

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Incre

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come

s-

Enha

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emplo

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n the

agric

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-Im

prov

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to la

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secu

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infra

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o inc

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the

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-26

8,000

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35%

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omes

-Fo

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lf-suff

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ood

secu

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nder

integ

ratio

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Pim

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activ

itiesi

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Activity inNgalenka ($159.4m)

-Co

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of a

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Land TenureSecurity Activity($3.9 m)

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and t

o inc

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and

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incre

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for irr

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as a

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Land

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-41

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ay

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Mill

enni

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halle

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Acco

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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

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sOu

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ars 1

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2010

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5Sh

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Out

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(Yea

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015

Medi

um/L

ong-

term

Out

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(Yea

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2016

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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



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.



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

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S (Q

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Just

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tion

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nclu

ding

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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

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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

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the

varia

tion i

n the

bene

ficiar

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come

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.1 wi

ll the

refor

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vide e

lemen

ts of

resp

onse

with

rega

rd to

the v

ariat

ion o

f the p

opula

tions

’ inco

me an

d the

caus

e of th

is va

riatio

n; thi

s will

help

asse

rt or

not, w

hethe

r the

prog

ram

contr

ibuted

to it

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

g of p

rodu

cts of

the i

rriga

ted ar

eas.

By ad

dres

sing t

he fa

ctors

limitin

gthis

prod

uctio

n an

d, pr

imar

ily th

e "W

ater"

and "

Land

or la

nd ca

pital"

facto

rs, th

e pro

gram

contr

ibutes

to la

nd te

nure

secu

rity an

d inc

ome i

ncre

ase.

Addit

ionall

y, an

y inc

reas

e in i

ncom

e dr

awn f

rom

irriga

tionw

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

ies up

strea

m or

do

wnstr

eam

of the

agric

ultur

al pr

oduc

tion.

How

does

the i

ndica

tor

link t

o th

e im

pact

ev

aluat

ion?

The p

rojec

tis an

ticipa

ted to

incre

ase t

he he

ctare

s und

er pr

oduc

tion a

nd cr

oppin

g inte

nsity

. The

se fa

ctors

are e

xpec

ted to

lead t

o ani

ncre

ase i

n inc

ome d

rawn

from

irr

igatio

n, wh

ich w

ill be

mea

sure

d in t

he ev

aluati

on.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

ntin

comp

ariso

nzon

es in

whic

h the

the p

rogr

am’s

activ

ities h

ave n

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en im

pleme

nted.

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betw

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he in

itial a

nd fin

al sit

uatio

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wo gr

oups

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rogr

am’s

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n to

incom

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Just

ifica

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ggre

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n the

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me ob

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DICA

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ACQU

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PLAN

Entit

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pons

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Durin

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n 201

5.

If su

rvey

dat

a, ve

rbat

im q

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s) p

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resp

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Refer

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estio

nnair

e Irri

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seho

ld:-S

ectio

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prod

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ketin

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icultu

ral in

come

Deta

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desc

riptio

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ce to

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ta is

kept

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se fo

r the

initia

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e foll

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Freq

uenc

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tim

ing

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ata a

cqui

sitio

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t the s

tart a

nd af

ter pr

oject

comp

letion

Nam

es o

f ver

ifica

tion

sour

ces

Mean

s of v

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catio

nBa

se su

rveys

: Rep

ort a

ndda

ta ba

ses

Pivo

t table

draw

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he da

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al su

rveys

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nd da

ta ba

ses

Pivo

t table

draw

n on t

he da

ta ba

seLo

catio

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a Sto

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USAC

-Sen

egal

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 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

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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

able

INDI

CATO

R BA

SELI

NE IN

FORM

ATIO

NOl

d Ba

selin

e0%

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Base

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ear

2011

-201

2So

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ses o

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ifica

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The b

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tembe

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phas

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ALCU

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Acc

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Long

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Expl

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DOCU

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ethod

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Just

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Comp

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rate

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ndica

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s to t

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costs

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does

the i

ndica

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ink t

o th

e ERR

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addit

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gmob

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acilit

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the q

uality

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duce

tra

nspo

rtatio

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ts an

d dur

ation

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rogr

am w

ill he

lp re

duce

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osts

of ve

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alon

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will

resu

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incre

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traff

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good

s and

peop

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o are

key t

o the

econ

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bene

fits , a

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nseq

uentl

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cono

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rogr

am

activ

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How

does

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ndica

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ink t

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e BA?

The i

mpro

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the ne

twor

k’s qu

ality

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ducti

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tran

spor

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dura

tion a

nd co

sts w

ill be

felt b

y ben

eficia

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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

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vices

as w

ell as

econ

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oppo

rtunit

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How

does

the i

ndica

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ink t

o th

e im

pact

ev

aluat

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The i

ndica

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termi

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e inc

reas

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come

of be

nefic

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ouse

holds

of th

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ehab

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rojec

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road

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ex

pecte

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ncre

ase i

ncom

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ouse

hold

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usine

sses

alon

g the

road

s. T

o mea

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the i

mpac

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e pro

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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

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have

not b

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mplem

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The

comp

ariso

n betw

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he in

itial

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inal s

ituati

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f the t

wo gr

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will

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rogr

am’s

contr

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ncom

e var

iation

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Just

ifica

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for D

isagg

rega

tions

The i

ndica

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ill no

t be d

isagg

rega

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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

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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-

mail

mnda

o@ag

erou

te.sn

Entit

y Res

pons

ible

for t

he co

llect

ion

of p

rimar

y Dat

aMC

C co

llecte

dthe

data

for th

e bas

eline

using

the H

DM4 M

odeli

ng in

2015

.

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

9

Deta

iled

desc

riptio

n of

dat

a col

lectio

n m

etho

dolo

gy

(inclu

ding a

ny ca

lculat

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ompu

ted by

sour

ce)

The f

igure

s will

be pu

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 roa

d me

asur

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RI, d

eflec

tions

, etc)

as w

ell as

othe

r mod

el pa

rame

ters (

includ

ing tr

affic

coun

ts)

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

USAC

The d

ata ar

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14

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mmen

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ns

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LIDIT

Y –D

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re th

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colle

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A

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MELIN

ESS-

Are t

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ta cu

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ulatio

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ENES

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o wha

t exte

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ully p

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ACTI

CABI

LITY-

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data

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men

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prov

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activ

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How

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e BA?

The i

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Main

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LIDIT

Y –D

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ta cle

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esire

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Scor

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A

2. RE

LIABI

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the d

ata co

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onsis

tent o

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3,5N/

A

3. TI

MELIN

ESS-

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ta cu

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3,6N/

A

4. PR

ECIS

ION

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data

have

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N/A

6. AP

PROP

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o wha

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indic

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3,8N/

A

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ACTI

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LITY-

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N/A

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Oct 2

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N/A

N/A

Expl

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ns an

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latio

ns

YEAR

5Ol

dNe

wJu

stifi

catio

n fo

r cha

nges

to

targ

ets o

r calc

ulat

ions

(if a

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

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

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

:Am

adou

NIA

NGPh

one

7751

1 22 7

2E-

mail

Amad

ou.ni

ang@

saed

.sn

Entit

y Res

pons

ible

for t

he co

llect

ion

of p

rimar

y Dat

aSA

ED -

Monit

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

to th

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

neDa

ta Ba

seSA

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

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011

Sour

ce o

f New

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eline

Data

Base

SAE

D:R

efer t

oLett

er S

AED

N° 19

59-1

2 of 1

2-12

-201

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

for c

hang

es to

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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

00Ex

plan

atio

n of

assu

mpt

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inpu

ts to

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AR 2

Old

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Just

ifica

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for c

hang

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ta

rget

s or c

alcul

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f any

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t 201

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pt. 20

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00Ex

plan

atio

n of

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mpt

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inpu

ts to

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rget

calcu

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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

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

0011

1 000

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)

277 0

0027

7 000

Expl

anat

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

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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

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n qu

intile

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twee

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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.

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ount

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ducti

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ethod

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ethod

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TEGR

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nion p

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reas

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gres

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ducti

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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

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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

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$2/d)

, 42%

betw

een $

2 and

$4/d

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gher

than

$4/d.

How

does

the i

ndica

tor l

ink t

o th

e im

pact

ev

aluat

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The i

mpac

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luatio

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vey l

ays e

mpha

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the o

nion p

rodu

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of h

ouse

holds

in th

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st zo

nes.

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ay be

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as w

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f inf

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cess

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eas.

Just

ifica

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disa

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e con

tributi

on of

each

of th

e zon

es in

ag

ricult

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prod

uctio

n and

prod

uctiv

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onito

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luat

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n–V

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ept,

2015

23

Deta

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riptio

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lectio

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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

Old

Base

line Y

ear

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-201

1So

urce

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ld B

aseli

neCo

mpac

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RR

New

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line

1090

0Ne

w Ba

selin

e Yea

r20

10-2

011

Sour

ce o

f New

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eline

SAED

Data

Bas

e:Re

fer to

Lette

rfro

mSA

ED

N° 19

59-1

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2-12

-201

2Ju

stifi

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n fo

r Bas

eline

Cha

nge

(if an

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DICA

TOR

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ET C

ALCU

LATI

ONS

Targ

etYE

AR 1

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ifica

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)Oc

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1110

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plan

atio

n of

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mpt

ions

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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

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AR 3

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ifica

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1316

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16 00

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ts to

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lculat

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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 -

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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

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Just

ifica

tion

for c

hang

es to

ta

rget

s or c

alcul

atio

ns (i

f any

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t 201

4 -Se

pt. 20

1540

000

40 00

0Ex

plan

atio

n of

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mpt

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and

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ts to

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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)

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

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finiti

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e cro

pping

inten

sity i

n the

Nga

lenka

irriga

ted ar

eas i

s calc

ulated

acco

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to th

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ula: T

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ctare

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all th

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eque

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e (YE

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loca

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IN

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TOR

JUST

IFIC

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N DE

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SJu

stifi

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The i

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s info

rmati

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the a

ttainm

ent o

f the I

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proje

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e whic

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o inc

reas

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icultu

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and t

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oduc

tivity

of

the ag

ricult

ural

secto

r. Th

e tre

nd of

the c

ropp

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tensit

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cons

titute

a res

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at wi

ll help

asse

ss th

e pro

gres

sion

of he

ctare

s und

er

prod

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w do

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k to

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ndica

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tensit

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atio b

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prod

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d the

cultiv

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area

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is re

lation

ship

accu

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y refl

ects

the in

creas

e in p

rodu

ctivit

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thus

of th

e ERR

. Thu

s, the

CI w

ill be

a de

cisive

facto

r in sh

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ase

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quan

tities

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ater a

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d the

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k to

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A?No

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evalu

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ends

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d tes

t zon

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test

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s may

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those

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n the

proc

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as w

ith a

view

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f infra

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stifi

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calcu

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s com

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d per

seas

on(ra

iny se

ason

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seas

on, h

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ason

). Th

e data

colle

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ome f

rom

the fo

llowi

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imag

estak

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the m

iddle

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d spe

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socio

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base

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crop

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ata on

area

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n dur

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after

verifi

catio

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ads

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om

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o SAE

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corre

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sides

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or th

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ulatio

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e ind

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.Fr

eque

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min

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dat

a acq

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ANNU

AL

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es o

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sour

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erifi

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nnua

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Stati

stics

on cu

ltivab

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d cult

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land

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ata B

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ata Q

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vemb

er20

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in fi

ndin

gs o

f dat

a qua

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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

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3.0

4.0

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ite

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ilite

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nite

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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

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t 4,0

Actio

n ta

ken

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se to

dat

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harm

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own

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limita

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and

signi

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n to

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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

NGPh

one

7751

1 22 7

2E-

mail

Amad

ou.ni

ang@

saed

.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 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

g th

e Dat

a at

SAED

:Am

adou

NIA

NGPh

one

7751

1 22 7

2E-

mail

Amad

ou.ni

ang@

saed

.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

)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

mob

ilizing

SAE

D’s f

ield s

tructu

re, in

each

Dele

gatio

n, un

der t

he re

spon

sibilit

y of

the M

onito

ring-

Evalu

ation

Offic

e (B

SE),

For e

ach

Deve

lopme

nt Un

it (U

MV),

the ty

pe o

f cro

ps a

nd

cultiv

ated a

reas

as w

ell as

the 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, af

ter

verifi

catio

n by t

he he

ads o

f sec

tors,

are e

ntere

d byt

he M

onito

ring a

nd E

valua

tion O

ffice.

Data

colle

ction

conc

erns

the D

ry ho

t and

co

ld se

ason

s as w

ellas

the r

ainy s

easo

nIf

surv

ey d

ata,

verb

atim

que

stio

n(s)

pos

ed to

resp

onde

ntNo

t App

licab

le

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

37

Deta

iled

desc

riptio

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oes t

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ta cle

arly

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LIABI

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the d

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TEGR

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eam

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l raw

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or th

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ulatio

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ifica

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eview

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mber

2014

Main

find

ings

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ata q

ualit

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iewAv

erag

e Sco

re

(out

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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

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ully p

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y the

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lts?

4,0N/

A

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2.0

3.0

4.0

Valid

ite

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ilite

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ision

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° 03

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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

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lity r

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Not A

pplic

able

Know

n da

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itatio

ns an

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nific

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pplic

able

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ns ta

ken

to ad

dres

s dat

a lim

itatio

nsNo

t App

licab

leIN

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LINE

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ION

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line

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ce o

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eline

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ear

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nt In

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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

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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

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

50

Over

all as

sess

men

t 3,3

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

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%Ol

dBa

selin

e Yea

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10 -

2011

Sour

ce o

f old

Bas

eline

DFRI

Wor

k Plan

New

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line

0%Ne

w Ba

selin

e Yea

r 20

10 -

2011

Sour

ce o

f New

Bas

eline

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k Plan

Just

ifica

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for B

aseli

ne C

hang

e (if

any)

INDI

CATO

R TA

RGET

CAL

CULA

TION

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YEAR

1Ol

dNe

wJu

stifi

catio

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)Oc

t 201

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pt. 20

110%

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plan

atio

n of

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mpt

ions

and

inpu

ts to

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etca

lculat

ions

YEAR

2Ol

dNe

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stifi

catio

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nges

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rget

s or

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f any

)Oc

t 201

1 -Se

pt. 20

120%

0%Ex

plan

atio

n of

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inpu

ts to

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et ca

lculat

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3Ol

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ommo

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2012

" MCC

. The

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ill he

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fficien

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PLAN

Entit

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bles o

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ata S

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QUA

LITY

Date

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ata Q

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in fi

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a qua

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eview

Aver

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core

(o

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comm

enda

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1. VA

LIDIT

Y –D

oes t

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ta cle

arly

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esen

t the d

esire

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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

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nt an

d fre

quen

tly co

llecte

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4. PR

ECIS

ION

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argin

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GRIT

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ta fre

e fro

m ma

nipula

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2,06.

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OPRI

ATEN

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hat e

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7. PR

ACTI

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LITY-

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men

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Know

n da

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ept,

2015

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easu

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Defin

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aSA

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Land

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tim

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cqui

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ARTE

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es o

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Mean

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Repo

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nure

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Table

s of in

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PM

U Irr

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nniu

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CA

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n–V

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on N

° 03

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2015

56

Loca

tion

of D

ata S

tora

geLa

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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/

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in fi

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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

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nta

ken

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spon

se to

dat

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lity r

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Not A

pplic

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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

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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

DETA

ILS

Just

ifica

tion

for I

nclu

ding

Indi

cato

rTe

chnic

al co

mmitte

es in

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

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ifica

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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

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icab

ilite

RRP.

2

Mille

nniu

m C

halle

nge

Acc

ount

Sén

égal

(M

CA

-Sén

égal

)

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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

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Base

line Y

ear

2011

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urce

of o

ld B

aseli

neRe

fer T

o Res

ults S

urve

y on T

raffic

and O

rigin–

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natio

n –AG

EROU

TE, S

ept. 2

012:

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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

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ifica

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ta

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s or c

alcul

atio

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edule

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in 20

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to

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ulat

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ny)

Obse

rvatio

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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

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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

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ns an

d in

puts

to ta

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latio

nsYE

AR 3

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ifica

tion

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hang

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s or c

alcul

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traffic

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t sur

vey i

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plann

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r 201

3Oc

t 201

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pt. 20

13N/

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plan

atio

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ts to

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4Ol

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stifi

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to

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ulat

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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

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AR 5

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Just

ifica

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ts to

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Long

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arge

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stifi

catio

n fo

r cha

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to

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ets o

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ulat

ions

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ny)

HDM4

mod

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redic

tions

N/A

1501

Expl

anat

ion

of as

sum

ptio

ns an

d in

puts

to ta

rget

calcu

latio

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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-

mail

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

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 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

n

Prat

icab

ilite

RRP.

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

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

-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

ex

actly

the s

ame 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 co

nsum

ption

(sup

er an

d dies

el).

INDI

CATO

R BA

SELI

NE IN

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d Ba

selin

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d Ba

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ar20

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Sour

ce o

f old

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selin

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o Rés

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EROU

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ept. 2

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Sur

veys

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rt an

d O/

D Su

rveys

AGE

ROUT

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12

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Base

line

Year

20

07So

urce

of N

ew

Base

line

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

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iinal

Due D

iligen

ce st

udy (

2008

)stu

dy du

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bout

the 20

12 A

GERO

UTE

study

INDI

CATO

R TA

RGET

CAL

CULA

TION

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YEAR

1Ol

dNe

wJu

stifi

catio

n fo

r cha

nges

to

targ

ets o

r calc

ulat

ions

(if a

ny)

The a

nnua

l sur

vey s

ched

uled b

y AGE

ROUT

E in

2010

-201

1 did

not ta

ke pl

ace.

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

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catio

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to

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Upda

ted ec

onom

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del d

oes n

ot inc

lude a

n esti

mated

traff

ic co

unt fo

r Yea

r 2.

Oct 2

011 -

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2012

716

798

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

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to

targ

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ulat

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(if a

ny)

A tra

fficco

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

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

targ

et ca

lculat

ions YEAR

5Ol

dNe

w

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

88

Oct 2

014 -

Sept.

2015

1850

1426

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

bleto

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.

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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r cha

nges

to

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r calc

ulat

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(if a

ny)

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d on t

he E

RR m

odel

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2095

Expl

anat

ion

of as

sum

ptio

ns an

d in

puts

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

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ut ha

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t set

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is M&

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anSU

PPLE

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ARY

DOCU

MENT

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N FO

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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.

Indi

cato

r RRP

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te o

f cha

nge i

n th

e dur

atio

n of

trav

el tim

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CATO

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SIC

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cato

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eRa

te of

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el tim

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mm

on In

dica

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umbe

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leCu

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cato

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l Pre

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el tim

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el tim

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timate

d in t

erms

of pe

rcenta

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redu

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or in

creas

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e tra

vel d

urati

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view

of th

e diffe

renc

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ro

utes a

nd th

e diffi

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to ex

pres

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time (

hour

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nutes

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eque

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Per

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/NO)

NOBy

age (

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inco

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NOIN

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IFIC

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TAIL

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Just

ifica

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for I

nclu

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cato

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icator

prov

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nform

ation

on th

e red

uctio

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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

N2Ri

char

d Toll

-Nd

ioum,

trav

el tim

e inc

reas

es. H

owev

er, a

fter t

he re

habil

itatio

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e NR,

the b

enefi

ciarie

s will

have

the

ir jou

rney

simp

rove

d bec

ause

of th

e red

uctio

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rave

l.Ho

w do

es th

e ind

icato

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k to

the E

RR?

Not A

pplic

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How

does

the i

ndica

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ink t

o th

e BA?

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pplic

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How

does

the i

ndica

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e im

pact

ev

aluat

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pplic

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Just

ifica

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for D

isagg

rega

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nniu

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halle

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Acc

ount

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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

89

INDI

CATO

R AC

QUIS

ITIO

N PL

ANEn

tity R

espo

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le fo

r Col

lectin

g Da

ta

AGER

OUTE

Poin

t of C

onta

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espo

nsib

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r Col

lectin

g th

e Dat

a at

AGE

ROUT

E:Ma

mado

u NDA

OPh

one

+221

7733

3 89 1

6E-

mail

mnda

o@ag

erou

te.sn

Entit

y Res

pons

ible

for t

he co

llect

ion

of p

rimar

y Dat

aMC

A-S

in 20

12 an

d 20

15

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)

Calcu

lation

of R

ate of

chan

ge of

trav

el tim

e. Do

ne us

ing da

ta fro

m inv

estig

ation

(CNC

E AG

EROU

TE 20

12) a

nd fin

al (M

CA -S

Yea

r 5).

Made

fro

m the

surve

y of tr

avel

time c

ondu

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y the

MCA

-S A

GERO

UTE

on de

mand

in 20

12 at

the C

NCE.

in 20

15),

MCA

will c

ondu

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same

su

rvey o

f trav

el tim

e (se

e meth

odolo

gy co

urse

time /

AGE

ROUT

E)If

surv

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ata,

verb

atim

que

stio

n(s)

pos

ed to

re

spon

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Cf tr

avel

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urve

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Deta

iled

desc

riptio

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how

dat

a is t

rans

mitt

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om

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ce to

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eque

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nd ti

min

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dat

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uisit

ion

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5(20

15)

Nam

es o

f ver

ifica

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sour

ces

Mean

s of v

erifi

catio

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igin a

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estin

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Sur

vey i

nterp

retat

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epor

t and

trav

el tim

e sur

vey 2

012

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of A

GERO

UTE

2012

Origi

n and

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tinati

on S

urve

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rpre

tation

Rep

ort a

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avel

time s

urve

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ear 5

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-Sen

egal.

Loca

tion

of D

ata S

tora

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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

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iewAv

erag

e Sco

re

(out

of 4)

Reco

mmen

datio

ns

- 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.

5

Mille

nniu

m C

halle

nge

Acc

ount

Sén

égal

(M

CA

-Sén

égal

)

Mem

oran

dum

to th

e M

onito

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and

Eva

luat

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Pla

n–V

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on N

° 03

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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

N/A

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-

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 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

the i

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

cted?

3,7N/

A

Over

all as

sess

men

t 3,3

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

ce-

Actio

ns ta

ken

to ad

dres

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t App

licab

le

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CATO

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SELI

NE IN

FORM

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eline

year

is 20

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uring

whic

h the

Orig

in / D

estin

ation

stud

y was

unde

rtake

n by A

GERO

UTE

on th

e sec

tions

who

se re

habil

itatio

n will

be fin

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d with

MCC

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s

INDI

CATO

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CAL

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TION

STa

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YEAR

1Ol

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stifi

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rojec

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r RN

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AN/

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plan

atio

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YEAR

2Ol

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stifi

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YEAR

3Ol

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nniu

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halle

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Acc

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CA

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Mem

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dum

to th

e M

onito

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Eva

luat

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n–V

ersi

on N

° 03

–S

ept,

2015

91

Oct2

012 -

Sept.

2013

N/A

N/A

Just

ifica

tion

for c

hang

es to

targ

ets o

r ca

lculat

ions

(if a

ny)

Expl

anat

ion

of as

sum

ptio

ns an

d in

puts

to ta

rget

calcu

latio

nsYE

AR 4

Old

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Just

ifica

tion

for c

hang

es to

targ

ets o

r ca

lculat

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 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

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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

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MMEN

TSSU

PPLE

MENT

ARY

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MENT

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N FO

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TAIL

ED C

ALCU

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ONS

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quire

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nniu

m C

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Acc

ount

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égal

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CA

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dum

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onito

ring

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Eva

luat

ion

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n–V

ersi

on N

° 03

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ept,

2015

92

3.6.

Indi

cato

rRRP

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ate o

f cha

nge i

n th

e dur

atio

n of

trav

el tim

e on

the R

N#6

INDI

CATO

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SIC

DETA

ILS

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cato

r Nam

eRa

te of

chan

ge in

the d

urati

on of

trav

el tim

e on t

he R

N#6

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ion

N° 03

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t201

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mm

on In

dica

tor N

umbe

rNo

t App

licab

leCu

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cato

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l Pre

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vel

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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

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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

E:Ma

mado

u NDA

OPh

one

+221

7733

3 89 1

6E-

mail

mnda

o@ag

erou

te.sn

Entit

y Res

pons

ible

for t

he co

llect

ion

of p

rimar

y Da

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

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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

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ifica

tion

for c

hang

es to

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rget

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alcul

atio

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f any

)Oc

t 201

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pt. 20

11N/

AN/

AEx

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atio

n of

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ions

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inpu

ts

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rget

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AR 2

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ifica

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ta

rget

s or c

alcul

atio

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f any

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t 201

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pt. 20

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atio

n of

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mpt

ions

and

inpu

ts

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AR 3

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ifica

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alcul

atio

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f any

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atio

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AR 4

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ifica

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pt. 20

14N/

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AR 5

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ifica

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rget

s or c

alcul

atio

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f any

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pt. 20

15-5

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atio

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mpt

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ng T

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Tar

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ifica

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hang

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rget

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f any

)-5

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plan

atio

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assu

mpt

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ns

Mille

nniu

m C

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nge

Acc

ount

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égal

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CA

-Sén

égal

)

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oran

dum

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e M

onito

ring

and

Eva

luat

ion

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n–V

ersi

on N

° 03

–S

ept,

2015

95

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ENTS

SUPP

LEME

NTAR

Y DO

CUME

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ION

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ILED

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CULA

TION

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ired)

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nniu

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nge

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CA

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égal

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oran

dum

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e M

onito

ring

and

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luat

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n–V

ersi

on N

° 03

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ept,

2015

96

3.7.

Indi

cato

r RRP

.7.Ro

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INDI

CATO

R BA

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ILS

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cato

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ughn

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RN2)

Vers

ion

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t201

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mm

on In

dica

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umbe

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-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

+221

7733

3 89 1

6E-

mail

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

sitio

nTw

ice: B

efore

the w

orks

(201

2) an

d afte

r the

wor

ks (2

015)

Nam

es o

f ver

ifica

tion

sour

ces

Mean

s of v

erifi

catio

nRe

port

of the

Roa

ds R

ehab

ilitati

on F

irmTa

ble of

indic

ators,

Rou

ghne

ss m

easu

reme

nt da

taRe

port

of the

Eng

ineer

in ch

arge

of su

pervi

sion

Table

of in

dicato

rs, R

ough

ness

meas

urem

entd

ataPM

U AG

EROU

TE R

epor

tTa

ble of

indic

ators,

Rou

ghne

ssme

asur

emen

t data

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 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 fir

ms up

grad

e the

road

s to

expe

cted R

ough

ness

stand

ards

trig

ger h

opes

that

this i

ndica

tor an

d its

data

will b

e of g

ood q

uality

;

- 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.

7

Mille

nniu

m C

halle

nge

Acc

ount

Sén

égal

(M

CA

-Sén

égal

)

Mem

oran

dum

to th

e M

onito

ring

and

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luat

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LIABI

LITY

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ESS-

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ta cu

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requ

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llecte

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N/A

4. PR

ECIS

ION

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data

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cepta

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in of

erro

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TEGR

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Is the

data

free f

rom

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ulatio

n?4,0

N/A

6.AP

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RIAT

ENES

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o wha

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ACTI

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Roug

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opes

that

this i

ndica

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data

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stable

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onsis

tent o

ver t

ime?

4,0N/

A

3. TI

MELIN

ESS-

Are t

he da

ta cu

rrent

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requ

ently

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llecte

d?3,2

N/A

4.PR

ECIS

ION

–Doe

s the

data

have

an ac

cepta

ble

marg

in of

erro

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N/A

- 1.0

2.0

3.0

4.0

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ite

Fiab

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5. IN

TEGR

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ulatio

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N/A

6. AP

PROP

RIAT

ENES

S –T

o wha

t exte

nt do

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tors f

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ACTI

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LITY-

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men

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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

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ept,

2015

103

YEAR

5Ol

dNe

wJu

stifi

catio

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to

targ

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r calc

ulat

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ny)

The C

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ctes

timate

s a fin

al Ro

ughn

ess f

or th

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to be

2.5,

not 2

.4

Oct 2

014 -

Sept.

2015

2.52.5

Expl

anat

ion

of as

sum

ptio

ns an

d in

puts

to ta

rget

calcu

latio

nsLo

ng T

erm

Tar

get

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New

Just

ifica

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for c

hang

es to

ta

rget

s or c

alcul

atio

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f any

)N/

AN/

AEx

plan

atio

n of

assu

mpt

ions

and

inpu

ts to

targ

et ca

lculat

ions

COMM

ENTS

Zo

ne I :

Lot 1

: 20,9

km (1

7,2%

of Lo

t 1),

Lot 2

: 41,4

km (5

7,1%

of Lo

t 2),

Lot 3

: 18,3

km (1

9,7%

of Lo

t 3)

Zone

II : L

ot 1:

56,6

km (4

8,6%

of Lo

t 1),

Lot 2

: 31,0

km (4

2,8%

ofLo

t 2) e

t Lot

3: 72

,2 km

(77,8

% of

Lot 3

)Zo

ne III

: Lot

1: 39

,9 km

(34,2

% of

Lot 1

), Lo

t 2: 0

,1 km

(0.1%

of Lo

t 2) e

t Lot

3: 2,3

km (2

,5% of

Lot 3

)SU

PPLE

MENT

ARY

DOCU

MENT

ATIO

N FO

R DE

TAIL

ED C

ALCU

LATI

ONS

(if re

quire

d)IR

I Calc

ulatio

n Meth

od :

Roug

hnes

scalc

ulatio

n prin

ciple,

AGER

OUTE

, 201

2MC

CRe

port,

Octob

er20

12(T

D-37

–ER

R Ind

icator

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ata co

llecti

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affic

coun

ts an

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with

sens

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3.9.

Indi

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oad

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INDI

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umbe

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-11)

Curre

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umbe

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oad t

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struc

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ehab

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CC fu

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AL

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Per

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Cove

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YES

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NOBy

loca

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ES/N

O)YE

S(R

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INDI

CATO

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STIF

ICAT

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DETA

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Just

ifica

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rTh

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prov

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nform

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on nu

mber

of pe

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ost th

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accid

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that o

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n RN2

and R

N6 se

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habil

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pact.

This

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new

indica

tor pr

opos

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the G

uidan

ce on

Com

mon I

ndica

tor, M

ay 20

12.

How

does

the i

ndica

tor l

ink t

o th

e ERR

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t App

licab

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w do

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k to

the B

A?No

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licab

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w do

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e ind

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k to

the i

mpa

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evalu

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t App

licab

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Just

ifica

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for D

isagg

rega

tions

The d

ata w

ill be

disa

ggre

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loca

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N2 an

d RN6

).

INDI

CATO

R AC

QUIS

ITIO

N PL

ANEn

tity R

espo

nsib

le fo

r Col

lectin

g Da

ta

AGER

OUTE

Mille

nniu

m C

halle

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Acc

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égal

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CA

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Mem

oran

dum

to th

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onito

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Eva

luat

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n–V

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104

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onta

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espo

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lectin

g th

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AGER

OUTE

:Ma

mado

u NDA

OPh

one

+221

7733

3 89 1

6E-

mail

mnda

o@ag

erou

te.sn

Entit

y Res

pons

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for t

he co

llect

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of p

rimar

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aGe

ndar

merie

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ade a

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olice

Stat

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Sain

t Lou

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taile

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scrip

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of d

ata c

ollec

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met

hodo

logy

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lculat

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ompu

ted by

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Using

data

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enda

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, Zigu

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dat

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rbat

im q

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ion(

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osed

to

resp

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licab

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Deta

iled

desc

riptio

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how

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a is t

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mitt

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om

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yoffic

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fficiel

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so

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erre

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ect th

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data

nece

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alcula

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indic

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Freq

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tim

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ta ac

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QUAR

TERL

YNa

mes

of v

erifi

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urce

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ans o

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ifica

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r of th

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enda

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d Poli

ce S

tation

of S

aint L

ouis

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r and

stati

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of th

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,the G

enda

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igade

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olice

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,Zig

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d Kold

a.MC

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DATA

QUA

LITY

Date

of D

ata Q

ualit

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iewN/

A

Main

find

ings

of d

ata q

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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?

2,8N/

A2.

RELIA

BILIT

Y –A

re th

e data

colle

ction

proc

edur

es st

able

and c

onsis

tent o

ver t

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2,7N/

A3.

TIME

LINES

S-Ar

e the

data

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N/A

4. PR

ECIS

ION

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s the

data

have

an ac

cepta

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argin

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1,0N/

A5.

INTE

GRIT

Y-Is

the da

ta fre

e fro

m ma

nipula

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3,0N/

A6.

APPR

OPRI

ATEN

ESS

–To w

hat e

xtent

do th

e ind

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s full

y por

tray t

he re

sults

?2,4

N/A

7. PR

ACTI

CABI

LITY-

Is the

data

curre

nt an

d fre

quen

tly co

llecte

d?2,7

N/A

- 1.0

2.0

3.0

4.0

Valid

ite

Fiab

ilite

Opp

ortu

nite

Prec

ision

Inte

grite

Adeq

uati

onPrat

icab

ilit

e

RRP.

9

Mille

nniu

m C

halle

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Acc

ount

Sén

égal

(M

CA

-Sén

égal

)

Mem

oran

dum

to th

e M

onito

ring

and

Eva

luat

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Pla

n–V

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on N

° 03

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ept,

2015

105

Over

all as

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men

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Actio

n ta

ken

in re

spon

se to

dat

a qua

lity r

eview

Not A

pplic

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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

Not A

pplic

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Old

Base

line Y

ear

2012

-201

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ld B

aseli

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ad T

rans

port

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ata B

ase o

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w Ba

selin

e43

New

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ear

2013

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4So

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aseli

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atisti

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enda

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, Zigu

incho

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stifi

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eline

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if an

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w Ind

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INDI

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R TA

RGET

CAL

CULA

TION

STa

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YEAR

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stifi

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rget

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f any

)Oc

t 201

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pt. 20

11N/

AN/

AEx

plan

atio

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and

inpu

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lculat

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YEAR

2Ol

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to ta

rget

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12N/

AN/

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YEAR

3Ol

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13N/

AN/

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plan

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lculat

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YEAR

4Ol

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stifi

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to ta

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calcu

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)Ne

w Ind

icator

Oct 2

013 -

Sept.

2014

N/A

N/A

Expl

anat

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of as

sum

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d in

puts

to ta

rget

calcu

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AR 5

Old

New

Just

ifica

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hang

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lculat

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New

Indica

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t 201

4 -Se

pt. 20

15N/

AN/

AEx

plan

atio

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assu

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and

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Long

Ter

m T

arge

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stifi

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)N/

AN/

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plan

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assu

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and

inpu

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targ

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COMM

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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

106

3.10.

Indi

cato

r RRP

.10.K

ilom

eter

sof r

ehab

ilitat

ed ro

ads o

n RN

#6

INDI

CATO

R BA

SIC

DETA

ILS

Indi

cato

r Nam

eKi

lomete

rs of

reha

bilita

ted ro

ads o

n RN#

6Ve

rsio

nN°

03 / S

ept2

015

Com

mon

Indi

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r Num

ber

Not A

pplic

able

Curre

nt In

dica

tor N

umbe

rRR

P.10

All P

revio

us In

dica

tor N

umbe

rsRR

P.10

/RRP

.11.

Leve

lOu

tput

Clas

sifica

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Cumu

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Unit

of M

easu

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Kilom

eters

Deta

iled

Defin

ition

Total

numb

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km of

reha

bilita

ted ro

ads w

hich h

ave b

een p

rovis

ionall

y acc

epted

.Fr

eque

ncy o

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ortin

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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

prov

ides i

nform

ation

on th

e len

gth in

km of

road

s reh

abilit

ated w

ith C

ompa

ct fun

ds an

d whic

h hav

e bee

n pr

ovisi

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. It m

akes

it po

ssibl

e to n

ote w

hethe

r the

resu

lt con

cern

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e reh

abilit

ation

of R

N2ha

s bee

n ach

ieved

or

not.

How

does

the i

ndica

tor l

ink t

o th

e ERR

?Th

e ERR

is ca

lculat

ed on

the b

asis

of the

assu

mptio

n tha

t the o

bjecti

ve of

256 k

m of

RN6w

ill be

achie

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The i

ndica

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ill he

lp co

nfirm

whe

ther t

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sump

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as be

en m

et.Ho

w do

es th

e ind

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the B

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w do

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mpa

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aluat

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Just

ifica

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for D

isagg

rega

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Not A

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INDI

CATO

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QUIS

ITIO

N PL

ANEn

tity R

espo

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ta

AGER

OUTE

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lectin

g th

e Dat

a at

AGER

OUTE

:Ma

mado

u NDA

OPh

one

+221

7733

3 89 1

6E-

mail

mnda

o@ag

erou

te.sn

Entit

y Res

pons

ible

for t

he co

llect

ion

of p

rimar

y Dat

aOf

fice o

f the E

ngine

er in

char

ge of

supe

rvisin

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wor

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RN6

Deta

iled

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riptio

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a col

lectio

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etho

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ny ca

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ompu

ted by

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ce)

Use d

ata pr

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MU R

oads

, the c

onsu

ltant

in ch

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of su

pervi

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e minu

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If su

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rbat

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Not A

pplic

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Deta

iled

desc

riptio

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how

dat

a is t

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mitt

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om so

urce

to

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The d

ata is

tran

smitte

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he R

oads

Pro

ject D

irecto

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with

the m

inutes

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nceo

f the c

once

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anne

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eque

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min

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a acq

uisit

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Only

once

: atth

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of th

e wor

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mes

of v

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catio

n so

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sMe

ans o

f ver

ifica

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AGER

OUTE

Ann

ual R

epor

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ble of

indic

ators

Repo

rt of

the E

ngine

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char

ge of

supe

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nMi

nutes

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nce

Mille

nniu

m C

halle

nge

Acc

ount

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égal

(M

CA

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égal

)

Mem

oran

dum

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e M

onito

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Eva

luat

ion

Pla

n–V

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° 03

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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

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LIABI

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ECIS

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data

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TEGR

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data

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RIAT

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o wha

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ully p

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:Ma

mado

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+221

7733

3 89 1

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mail

mnda

o@ag

erou

te.sn

Entit

y Res

pons

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rimar

yDat

aAG

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5. IN

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ITÉ-

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ns qu

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esur

e les

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7. PR

ACTI

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LITÉ

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ées s

ont-e

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3.13.

Indi

cato

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Vers

ion

N° 04

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2015

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umbe

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l Pre

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veau

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meCl

assif

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nLe

vel

Unit

of M

easu

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iled

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ood a

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e con

dition

base

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he fr

amew

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imple

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ainten

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ALRe

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erio

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mpac

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iod

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ggre

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inco

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NOIN

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Just

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terri

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the l

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ac

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How

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A?N/

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INDI

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ANEn

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:Ma

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mail

mnda

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aAG

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ource

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ually

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is of

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ata a

cqui

sitio

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ARLY

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es o

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ifica

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ces

Mean

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ainten

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m of

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et Co

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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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ept,

2015

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EROU

TEIN

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TOR

DATA

QUA

LITY

Date

of D

ata Q

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A

Main

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ings

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ata q

ualit

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iewAv

erag

e sco

re

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scale

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Reco

mman

datio

ns

1. VA

LIDIT

É -L

es do

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s rep

rése

ntent-

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le

résu

ltat d

ésiré

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çon s

atisfa

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D

2. FI

ABILI

TÉ -

Les p

rocé

dure

s de c

ollec

te de

s do

nnée

s son

t-elle

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les et

cons

istan

tes da

ns le

tem

ps ?

TBD

3. OP

PORT

UNIT

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es do

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s son

t-elle

s ac

tuelle

s et fr

éque

mmen

t coll

ectée

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D

4. PR

ÉCIS

ION

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donn

ées o

nt-ell

es un

e mar

ge

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ur ac

cepta

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TBD

5. IN

TÉGR

ITÉ-

Les d

onné

es so

nt-ell

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man

ipulat

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TBD

6.AD

ÉQUA

TION

-Da

ns qu

elle m

esur

e les

ind

icateu

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racté

risen

t plei

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nt les

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ltats?

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7. PR

ACTI

CABI

LITÉ

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donn

ées s

ont-e

lles

actue

lles e

t fréq

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ollec

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Évalu

atio

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obale

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ite

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ilite

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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

:Ma

mado

u NDA

OPh

one

+221

7733

3 89 1

6E-

mail

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 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

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ment

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nniu

m C

halle

nge

Acc

ount

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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

121

Taxe

sur le

s pro

duits

pétro

liers

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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

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iewN/

A

Main

find

ings

of d

ata q

ualit

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iewAv

erag

e sco

re

(on a

scale

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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

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line

N/A

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Base

line Y

ear

2015

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ce o

f old

Bas

eline

AGER

OUTE

wor

k plan

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Base

line

71Ne

w Ba

selin

e Yea

r 20

15So

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of N

ew B

aseli

neAG

EROU

TE w

ork p

lanJu

stifi

catio

n fo

r Bas

eline

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nge (

if an

y)Ne

w ind

icator

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CATO

R TA

RGET

CAL

CULA

TION

STa

rget

YEAR

1Ol

dNe

wJu

stifi

catio

n fo

r cha

nges

to

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ets o

r calc

ulat

ions

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ny)

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010 -

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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

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et ca

lculat

ions

YEAR

3Ol

dNe

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)

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nniu

m C

halle

nge

Acc

ount

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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

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-

mail

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

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ateRN

6 Lot1

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RN6 L

ot268

RN6 L

ot373

Just

ifica

tion

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hang

e (if

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New

indica

torIN

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TARG

ET C

ALCU

LATI

ONS

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etYE

AR 1

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ifica

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hang

es to

ta

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

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

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

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 -

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3.16.

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cato

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ots

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Mam

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ane

NIA

NG

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21 7

733

3 07

96E-

mail

assa

nian

g@gm

ail.c

om

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y Res

pons

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mman

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tes da

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3. OP

PORT

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4. PR

ÉCIS

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5. IN

TÉGR

ITÉ-

Les d

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6. AD

ÉQUA

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ns qu

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ACTI

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3.17.

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AGER

OUTE

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mado

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ane

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GPh

one

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mail

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Date

of D

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find

ings

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ata q

ualit

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iewAv

erag

e sco

re

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mman

datio

ns

1. VA

LIDIT

É -L

es do

nnée

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rése

ntent-

elles

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résu

ltat d

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atisfa

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tes da

ns le

tem

ps ?

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PORT

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nnée

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t-elle

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tuelle

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mmen

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ectée

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D

4. PR

ÉCIS

ION

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donn

ées o

nt-ell

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e mar

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cepta

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TÉGR

ITÉ-

Les d

onné

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ipulat

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ÉQUA

TION

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ACTI

CABI

LITÉ

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ées s

ont-e

lles

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obale

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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

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