Compact Signing Amounts and Key Dates (in millions of $)*
Partner Country | Sub-Saharan Africa | Europe, Asia and Pacific | Middle East and N. Africa | Latin America | Signing | Entry Into Force | Closed Dates |
---|---|---|---|---|---|---|---|
Madagascar | 109.8 | 4/18/2005 | 7/27/2005 | 8/31/2009 | |||
Honduras | 215.0 | 6/13/2005 | 9/29/2005 | 9/29/2010 | |||
Cabo Verde | 110.1 | 7/4/2005 | 10/17/2005 | 10/17/2010 | |||
Nicaragua | 175.0 | 7/14/2005 | 5/26/2006 | 5/26/2011 | |||
Georgia, 2005 | 395.3 | 9/12/2005 | 4/7/2006 | 4/7/2011 | |||
Benin, 2006 | 307.3 | 2/22/2006 | 10/6/2006 | 10/6/2011 | |||
Vanuatu | 65.7 | 3/2/2006 | 4/28/2006 | 4/28/2011 | |||
Armenia | 235.7 | 3/27/2006 | 9/29/2006 | 9/29/2011 | |||
Ghana, 2006 | 547.0 | 8/1/2006 | 2/16/2007 | 2/16/2012 | |||
Mali | 460.8 | 11/13/2006 | 9/17/2007 | 8/24/2012 | |||
El Salvador, 2006 | 460.9 | 11/29/2006 | 9/20/2007 | 9/20/2012 | |||
Mozambique | 506.9 | 7/13/2007 | 9/22/2008 | 9/22/2013 | |||
Lesotho, 2007 | 362.6 | 7/23/2007 | 9/17/2008 | 9/17/2013 | |||
Morocco, 2007 | 697.5 | 8/31/2007 | 9/15/2008 | 9/15/2013 | |||
Mongolia | 284.9 | 10/22/2007 | 9/17/2008 | 9/17/2013 | |||
Tanzania, 2008 | 698.1 | 2/17/2008 | 9/17/2008 | 9/17/2013 | |||
Burkina Faso | 480.9 | 7/14/2008 | 7/31/2009 | 7/31/2014 | |||
Namibia | 304.5 | 7/28/2008 | 9/16/2009 | 9/16/2014 | |||
Senegal | 540.0 | 9/16/2009 | 9/23/2010 | 9/23/2015 | |||
Moldova | 262.0 | 1/22/2010 | 9/1/2010 | 9/1/2015 | |||
Philippines, 2010 | 433.9 | 9/23/2010 | 5/25/11 | ||||
Jordan | 275.1 | 10/25/2010 | 12/13/11 | ||||
Malawi | 350.7 | 4/7/2011 | 9/20/2013 | ||||
Indonesia | 600.0 | 11/19/2011 | 4/2/2013 | ||||
Cabo Verde, 2012 | 66.2 | 2/10/2012 | 11/30/2012 | ||||
Zambia | 354.8 | 5/10/2012 | 11/15/2013 | ||||
Georgia, 2013 | 140.0 | 6/26/2013 | 7/1/2014 | ||||
Ghana, 2014 | 498.2 | 8/5/2014 | 1/20/2016 | ||||
El Salvador, 2014 | 277.0 | 9/30/2014 | 9/9/2015 | ||||
Benin, 2015 | 375.0 | 9/9/2015 | |||||
Liberia | 256.7 | 10/2/2015 | |||||
Morocco, 2015 | 450.0 | 11/30/2015 |
* Please note that the values above are the signed compact amounts and do not reflect lower actual expenditures due to early terminations or funds for a compact not being fully spent. The table on the next page reflects the net obligations/commitments associated with each compact.
Compact Obligations/Commitments by Year Appropriated as of December 2015 ($ millions)*
Obls./Commitments | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Total |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Armenia | 177 | 177 | |||||||||||||
Benin 2006 | 302 | 302 | |||||||||||||
Benin 2015 | 207 | 168 | 375 | ||||||||||||
Burkina Faso | 475 | 475 | |||||||||||||
Cape Verde 2005 | 109 | 109 | |||||||||||||
Cape Verde 2012 | 66 | 66 | |||||||||||||
El Salvador 2006 | 362 | 88 | 450 | ||||||||||||
El Salvador 2014 | 8 | 109 | 160 | 277 | |||||||||||
Georgia 2005 | 290 | 24 | 17 | 56 | 387 | ||||||||||
Georgia 2013 | 140 | 140 | |||||||||||||
Ghana 2006 | 536 | 536 | |||||||||||||
Ghana 2014 | 17 | 283 | 198 | 498 | |||||||||||
Honduras | 204 | 204 | |||||||||||||
Indonesia | 55 | 545 | 600 | ||||||||||||
Jordan | 55 | 220 | 275 | ||||||||||||
Lesotho 2007 | 358 | 358 | |||||||||||||
Liberia | 257 | 257 | |||||||||||||
Madagascar | 86 | 86 | |||||||||||||
Malawi | 210 | 141 | 351 | ||||||||||||
Mali | 436 | 436 | |||||||||||||
Moldova | 91 | 16 | 8 | 1 | 9 | 87 | 50 | 262 | |||||||
Mongolia 2007 | 269 | 269 | |||||||||||||
Morocco 2007 | 72 | 578 | 650 | ||||||||||||
Morocco 2015 | 3 | 14 | 14 | 21 | 8 | 51 | 3 | 1 | 169 | 166 | 450 | ||||
Mozambique | 448 | 448 | |||||||||||||
Namibia | 219 | 76 | 296 | ||||||||||||
Nicaragua | 113 | 113 | |||||||||||||
Philippines 2010 | 434 | 434 | |||||||||||||
Senegal | 516 | 516 | |||||||||||||
Tanzania 2008 | 695 | 695 | |||||||||||||
Vanuatu | 65 | 65 | |||||||||||||
Zambia | 355 | 355 | |||||||||||||
Planned | |||||||||||||||
Lesotho 2017 | 0 | 15 | 5 | 4 | 30 | 1 | 2 | 7 | 6 | 8 | 13 | 97 | 22 | 210 | |
Mongolia 2017 | 7 | 16 | 58 | 10 | 100 | 69 | 260 | ||||||||
Nepal | 301 | 301 | |||||||||||||
Niger | 58 | 392 | 450 | ||||||||||||
Philippines 2017 | 430 | 430 | |||||||||||||
Senegal | (51) | (51) | |||||||||||||
Tanzania 2016 | 53 | 14 | 18 | 210 | 178 | 473 | |||||||||
Total | 892 | 1,262 | 1,457 | 1,506 | 1,328 | 674 | 941 | 739 | 738 | 667 | 685 | 673 | 667 | 753 | 12,982 |
* Please note that the values above are the signed compact amounts and do not reflect lower actual expenditures due to early terminations or funds for a compact not being fully spent. The table on the next page reflects the net obligations/commitments associated with each compact.
Threshold Program Signing Amounts (in millions of $)
Country | Sub-Saharan Africa | Eurasia | Latin America | Middle East and N. Africa | Signing Date | Completion Date |
---|---|---|---|---|---|---|
Burkina Faso | 12.9 | 7/22/2005 | 9/30/2008 | |||
Malawi | 20.9 | 9/23/2005 | 9/30/2008 | |||
Albania, 2006 | 13.9 | 4/3/2006 | 11/15/2008 | |||
Tanzania | 11.2 | 5/3/2006 | 12/30/2008 | |||
Paraguay, 2006 | 34.6 | 5/8/2006 | 8/31/2009 | |||
Zambia | 22.7 | 5/22/2006 | 2/28/2009 | |||
Philippines | 20.7 | 7/26/2006 | 5/29/2009 | |||
Jordan | 25.0 | 10/17/2006 | 8/29/2009 | |||
Indonesia | 55.0 | 11/17/2006 | 12/31/2010 | |||
Ukraine | 44.5 | 12/4/2006 | 12/31/2009 | |||
Moldova | 24.7 | 12/14/2006 | 2/28/2010 | |||
Kenya | 12.7 | 3/23/2007 | 12/31/2010 | |||
Uganda | 10.4 | 3/29/2007 | 12/31/2009 | |||
Guyana | 6.7 | 8/23/2007 | 2/23/2010 | |||
Sao Tome & Principe | 8.7 | 11/9/2007 | 4/15/2011 | |||
Kyrgyz Republic | 16.0 | 3/14/2008 | 6/30/2010 | |||
Niger | 23.1 | 3/17/2008 | 12/31/2015 | |||
Peru | 35.6 | 6/9/2008 | 9/30/2012 | |||
Rwanda | 24.7 | 9/24/2008 | 12/31/2011 | |||
Albania, 2008 | 15.7 | 9/29/2008 | 7/31/2011 | |||
Paraguay, 2009 | 30.3 | 4/13/2009 | 7/31/2012 | |||
Liberia | 15.1 | 7/6/2010 | 12/1/2013 | |||
Timor-Leste | 10.5 | 9/22/2010 | 3/31/2014 | |||
Honduras | 15.6 | 8/29/2013 | In progress | |||
Guatemala | 28.0 | 4/8/2015 | In progress | |||
Sierra Leone | 44.4 | 11/17/2015 | In progress |
Results of Recently Closed Compacts – Moldova and Senegal
Moldova
The $262 million Moldova Compact aimed to reduce poverty and accelerate economic growth by enabling improved agricultural productivity and expanding access to markets and services through critical infrastructure investments in the irrigation and road sectors, and capacity building in the high-value agriculture sector. The compact focused on transitioning farmers from grains and cereals to higher-value crops like fruits and vegetables, as well as the rehabilitation of a 59.7-mile stretch of road connecting Sarateni and Soroca in the country's north.
Policy Reforms | Road Rehabiliation Project
Transition to High-Value Agriculture Project
|
---|---|
Outputs | Road Rehabilitation Project
Transition to High-Value Agriculture Project
|
Preliminary and Expected Outcomes | Road Rehabilitation Project
Transition to High-Value Agriculture Project
|
Evaluations | Road Rehabilitation Project
Transition to High-Value Agriculture Project
|
Senegal
The $540 million compact with Senegal aimed to boost economic growth by unlocking the country’s agricultural productivity and expanding access to markets and services through investments in roads and irrigation networks. The two primary compact projects, roads rehabilitation and irrigation and water resource management, were geographically focused in the Senegal River Valley in the north and the Casamance region in the south. The compact priorities were identified to align to the country’s long-term objectives of enhancing economic growth and food security.
Policy Reforms | Road Rehabilitation Project
Irrigation and Water Resource Management
|
---|---|
Outputs | Road Rehabilitation Project
Irrigation and Water Resource Management
|
Preliminary and Expected Outcomes | Road Rehabilitation Project By 2029, the compact is anticipated to help improve the living conditions of 1.55 million people, which represents approximately 138,000 households, including 102,000 households in the Casamance region and 36,000 others in northern Senegal.
Irrigation and Water Resource Management
|
Evaluations | Road Rehabilitation Project
Irrigation and Water Resource Management
|
Compact Modifications
MCC employs a risk-based approach to the management of its foreign assistance portfolio and uses a number of mechanisms for managing projects that face potential major modifications, including:
- Quarterly portfolio reviews of all compacts, with a focus on high-risk projects and activities;
- Early identification of high-risk projects;
- Close collaboration with partner countries to develop plans to prevent, mitigate and manage project restructuring; and
- Approval of modifications at the appropriate level.
MCC has also refined its compact development process to conduct adequate due diligence on programs in advance of compact signing to increase the reliability of technical, cost, and other estimates. During compact development MCC also makes project design modifications to mitigate potential completion risk, currency fluctuations and the potential for construction cost overruns.
Summary of Restructurings and Reallocations in FY 2015
Country | Project | Programmatic Change | Description |
---|---|---|---|
Philippines | Kalahi-CIDSS Project Secondary National Roads Development Project | Addition to Kalahi-CIDSS subprojects ($12 million), and Secondary National Roads Development Project ($11 million) and reduction in scope of Revenue Administration Reform Project’s Electronic Tax Information System (eTIS) sub-activity and compact savings ($23 million). | In July 2015, MCC approved an aggregate reallocation of $23 million from total anticipated compact savings, of which up to $12 million was used to fund additional Kalahi-CIDSS subprojects, and up to $11 million would be used to cover a projected budget shortfall on the Secondary National Roads Development Project. These reallocations were to balance a reduction in scope of the Revenue Administration Reform Project’s Electronic Tax Information System (eTIS) sub-activity, and savings in program management and oversight. |
Estimating Compact Beneficiaries and Benefits
Under MCC's results framework, beneficiaries are defined as an individual and all members of his or her household, who will experience an income gain as a result of MCC interventions. MCC considers that the entire household will benefit from the income gain and counts are multiplied by the average household size in the area or country. The beneficiary standard makes a distinction between individuals participating in a project and individuals expected to increase their income as a result of the project. Before signing a compact, MCC estimates the expected long-term income gains through a rigorous benefit-cost analysis. MCC may reassess and modify its beneficiary estimates and/or the present value of benefits when project designs change during implementation.
Compact[[The table includes estimates for compacts that have entered into force and have ERRs from which income benefit calculations can be drawn. Information for Indonesia is only available for one out of three projects at this time.]][[These estimates generally do not include the projected beneficiaries of projects or activities that have been terminated or suspended by MCC (Madagascar, Honduras, Nicaragua, Mali, and Armenia). In the case of Madagascar, the estimates account for the compact's early termination.]] | Estimated Number of Beneficiaries | Estimated Long Term Income Gain Over the Life of the Project (PV of Benefits)[[The Present Value (PV) of Benefits is the sum of all projected benefits accruing over the life of the project, typically 20 years, evaluated at a 10 percent discount rate. Estimates are reported in millions of U.S. dollars in the year that the ERR analysis was completed. Because the PV of benefits uses a discount rate, these figures cannot be compared directly to the undiscounted financial costs of MCC compacts, but must be compared to the PV of costs instead.]] |
---|---|---|
Armenia | 428,000 | $295,500,000 |
Benin | 14,059,000 | $409,600,000 |
Burkina Faso | 1,181,000 | $151,000,000 |
Cape Verde 2005 | 385,000 | $149,500,000 |
Cape Verde 2012 | 604,000 | $112,900,000 |
El Salvador | 706,000 | $377,800,000 |
Georgia 2005 | 143,000 | $301,300,000 |
Georgia 2013 | 1,770,000 | $338,000,000 |
Ghana | 1,217,000 | $690,300,000 |
Honduras | 1,705,000 | $237,300,000 |
Indonesia1 | 1,700,000 | $217,000,000 |
Jordan | 3,000,000 | $398,900,000 |
Lesotho | 1,041,000 | $485,000,000 |
Madagascar | 480,000 | $123,200,000 |
Malawi | 983,000 | $567,200,000 |
Mali | 2,837,000 | $393,600,000 |
Moldova | 414,000 | $259,900,000 |
Mongolia | 2,058,000 | $314,800,000 |
Morocco | 1,695,000 | $805,400,000 |
Mozambique | 2,685,000 | $288,900,000 |
Namibia | 1,063,000 | $310,400,000 |
Nicaragua | 119,000 | $83,500,000 |
Philippines | 125,822,000 | $483,300,000 |
Senegal | 1,550,000 | $625,000,000 |
Tanzania | 5,425,000 | $1,474,000,000 |
Vanuatu | 39,000 | $73,800,000 |
Zambia | 1,230,000 | $283,300,000 |
Total[[Column totals may not equal the sum of the individual rows due to rounding.]] | 174,339,000 | $10,250,300,000 |
Sectors Results At A Glance: By The Numbers
Numbers are cumulative over the 11 years since the agency's founding in 2004, and current as of September 2015.
All developing countries face significant challenges in many sectors. The first step in MCC’s process–once a country is selected as eligible–is to work with partner country officials to conduct a rigorous, joint economic analysis to identify the most binding constraints to economic growth. The results help to prioritize MCC’s investments in the areas that are the biggest impediments to private investment and poverty reduction. These may include access to credit, governance, power, transportation, and education, among other priority areas. The constraints are different for each country and ultimately drive our investment strategy. Below are highlights of MCC’s sector investments that have emerged from this analysis.
Power
2,675 miles of electricity lines completed
MCC works with partner countries to build key power infrastructure and implement complementary reforms to improve their power sectors. For example, during the second year of compact implementation, Malawi’s power utility, ESCOM, received technical assistance to improve its performance. In Ghana, the government took significant steps to invite private-sector participation in its power sector by issuing a request for expression of interest in the concession of the Electricity Company of Ghana. In Benin, MCC signed a compact to fund infrastructure in generation and distribution as well as off-grid projects while also strengthening Benin’s national utility.
Transportation
1,787 miles of roads completed
647 additional miles of roadway under construction
In FY 2015, an 18 percent increase in MCC-funded miles of roadway relative to the previous year brought the estimated total to 1,787 miles. In Moldova, the MCC-funded Road Rehabilitation Project rebuilt close to 60 miles of road connecting apple orchards and fruit producers in the north to markets of Chisinau, central Moldova and beyond. All construction met high quality and environmental standards with enhanced safety features.
- In the Philippines, the first 10-mile section of the Secondary National Road Project in the Samar and Eastern Samar provinces was completed. The Philippines roads are designed and built to be resilient to the effects of a changing climate and the work includes the rehabilitation and replacement of 60 bridges, rebuilding of major drainage structures, and remediation of dozens of landslides in the provinces.
- In Senegal, the rehabilitation and widening of 115 miles of two existing critically important national roads is expected to significantly reduce transport costs for passengers and goods.
Water And Sanitation
7.02 million people are estimated to benefit from improved water systems, and approximately 2.27 million people benefit from improved sanitation
MCC supports transformative policy and institutional reforms to improve the level and quality of water and sanitation services in partner countries. With MCC funding, the Government of Cabo Verde created a new national regulator and improved the legal and policy framework for the water and sanitation sector. MCC supported the creation of Aguas de Santiago, a water and sanitation company on Cabo Verde’s largest island. In addition, MCC helped mobilize additional donor funding from the Public-Private Infrastructure Advisory Facility to help corporatize water utility on the islands of Santo Vicente and São Nicolau.
Agriculture And Irrigation
275,094 farmers trained
300,962 acres under improved irrigation
MCC works with partner countries on policies and procedures to better manage water resources used for agricultural production. Without appropriate water resource management, crops are subject to floods and droughts, creating drastic price and yield fluctuations. Ten centralized irrigation systems covering over 11,500 hectares were rebuilt through the Moldova Compact, and Water Users Associations were formed and its members trained to manage their operations and maintenance. A farmer training program in high-value crop production and an agricultural finance program also contributed to the growth and modernization of Moldova’s high-value agriculture sector.
Land
311,785 household, commercial, and legal entities have legal land protections
MCC’s work with partner countries on complex land institutional and policy reforms focuses activities at the regional and local levels to protect property rights and to stimulate private-sector investment. In Senegal, MCC’s investment in large-scale irrigation in the Senegal River Valley was coupled with activities to secure land rights, improve community-level land management, and mitigate the risk of land conflict amid increasing land values. Nine communes received improved land management tools, including computerized land information systems, land rights registries, updated land occupation and management plans, and training of land conflict mediation committees. Each commune developed transparent land allocation principles and criteria with the active participation of all local stakeholders, resulting in unprecedented levels of increased access to irrigated land for women and other relatively land-poor farmers.
Education
746 educational facilities constructed or rehabilitated
4,407 instructors trained
215,242 students participated in MCC-supported education activities
62,211 graduates from MCC-supported education activities
MCC works with partner countries to identify challenges in the education sector and develop solutions that help lead to a skilled and productive workforce.
- For example, in Georgia, Ilia State University, Georgian Technical University, and Tbilisi State University accepted its first freshman class for three new MCC-funded bachelor degree science programs launched in partnership with San Diego State University in chemistry/bio-chemistry, electric engineering and computer engineering. MCA-Georgia also selected 29 organizations to submit full proposals to a facility designed to make up to $8.8 million in grants to public and private TVET providers to partner with and secure co-financing from local and international industry to support science, engineering and technology-oriented workforce skills.
- More than $10 million in grants was awarded by MCA-Indonesia through the Green Knowledge Program to capture and disseminate new knowledge for the low-carbon economy generated by interaction among public and private sector stakeholders. The investment also supports green skills such as carbon mitigation planning, farming and agriculture waste management, and coastal resource management for governments and citizens in the communities targeted by the Green Prosperity Project. The $332.5 million project is designed to increase productivity and reduce reliance on fossil fuels by expanding renewable energy, improving land use practices and management of natural resources.
Health
More than 2,000 service providers trained to improve nutrition among children in 5,300 villages
Where national growth is potentially stymied by poor health, MCC investments can help governments make critical, cost-effective health services available where they have the most potential to make a difference in enhancing the quality of life, leading to greater productivity and economic growth. MCC committed more than $130 million to improve nutrition and health in Indonesia. Activities in the Indonesia Compact are improving awareness of maternal and infant feeding practices, and illness prevention, as well as access to proper nutrition and health care services. In Indonesia, MCC partners with the World Bank to provide grants to communities to improve health and education indicators. In 2014, an average of 13 cases of underweight children and eight cases of malnutrition among pregnant women were resolved per village, and on average, 178 women and infants per village received parenting or nutritional counseling using community grant funds.
Agriculture and Irrigation Common Indicators:
Process Indicators | Output Indicators | Outcome Indicators | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Country | Region | (AI-1) Value of signed irrigation feasibility and design contracts (USD) | (AI-2) Percent disbursed of irrigation feasibility and design contracts | (AI-3) Value of signed irrigation construction contracts (USD) | (AI-4) Percent disbursed of irrigation construction contracts | (AI-5) Temporary employment generated in irrigation | (AI-6) Farmers trained | (AI-7) Enterprises assisted | (AI-8) Hectares under improved irrigation | (AI-9) Loan borrowers | (AI-10) Value of agricultural and rural loans (USD) | (AI-11) Farmers who have applied improved practices as a result of training | (AI-12) Hectares under improved practices as a result of training | (AI-13) Enterprises that have applied improved techniques |
MCC Total | 51,925,328 | 87.3% | 698,425,169 | 90.2% | 6,908 | 275,094 | 4,217 | 121,795 | 1,192 | 86,151,395 | 126,210 | 34,947 | 1,004 | |
EAPLA Total | 10,686,574 | 93.0% | 190,892,731 | 88.1% | 2,975 | 83,699 | 1,591 | 1,682 | 1,096 | 65,491,633 | 56,114 | – | 406 | |
AFRICA Total | 41,238,754 | 85.8% | 507,532,438 | 90.9% | 3,933 | 191,395 | 2,626 | 120,113 | 96 | 20,659,762 | 70,096 | 34,947 | 598 | |
Armenia | EAPLA | 4,601,073 | 100.0% | 106,653,443 | 100.0% | 2,389 | 45,639 | 227 | – | 1,008 | 13,133,200 | 26,424 | – | 178 |
El Salvador | – | – | – | – | – | 15,363 | 281 | – | 29 | 4,598,748 | 11,520 | – | 163 | |
Georgia | 1,155,881 | 53.4% | – | – | – | – | 291 | – | – | 19,880,003 | – | – | – | |
Honduras | – | – | – | – | – | 7,265 | 464 | 400 | – | 17,100,000 | 6,996 | – | – | |
Indonesia | – | – | – | – | – | – | – | – | – | – | – | – | – | |
Moldova | 4,929,620 | 95.7% | 84,239,288 | 73.0% | 586 | 6,328 | 328 | 1,282 | 59 | 10,779,682 | 2,070 | – | 65 | |
Nicaragua | – | – | – | – | – | 9,104 | – | – | – | – | 9,104 | – | – | |
Burkina Faso | AFRICA | 17,268,474 | 74.8% | 74,339,448 | 95.3% | 2,414 | 12,307 | 278 | 2,240 | 96 | 2,802,000 | 8,237 | 3,369 | 28 |
Cabo Verde I | – | – | 5,167,848 | 97.6% | – | 553 | – | 13 | – | 617,000 | 106 | – | – | |
Ghana | 5,202,887 | 100.0% | 13,009,963 | 100.0% | – | 66,930 | 1,724 | 514 | – | 16,740,762 | 59,060 | – | 535 | |
Madagascar | – | – | – | – | – | 31,366 | 324 | – | – | – | 1,892 | – | 1 | |
Mali | 9,077,220 | 98.2% | 148,951,503 | 98.3% | – | 1,308 | – | 97,503 | – | 500,000 | 801 | – | – | |
Morocco | – | – | 111,353,027 | 99.0% | – | 40,863 | 114 | 19,393 | – | – | – | 31,578 | 34 | |
Mozambique | – | – | – | – | – | 28,830 | 186 | – | – | – | – | – | – | |
Namibia | – | – | – | – | – | 9,238 | – | – | – | – | – | – | – | |
Senegal | 9,690,173 | 86.3% | 154,710,649 | 75.0% | 1,519 | – | – | 450 | – | – | – | – | – | |
Gender* | ||||||||||||||
Female | 227 | 50,314 | 106 | 121 | 924,102 | 17,497 | 19 | |||||||
Male | 4,292 | 118,666 | 408 | 1,063 | 12,657,580 | 39,858 | 74 |
All program data are as of September 10, 2015. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2015. Grey shading indicates closed-out Compacts; data revision is not expected for these Compacts.
*Gender totals may not match overall totals due to lack of gender counting in earlier Compacts.
Common Indicator Definitions:
(AI-1) Value of signed irrigation feasibility and design contracts:
The value of all signed feasibility, design, and environmental contracts, including resettlement action plans, for agricultural irrigation investments using 609(g) and compact funds.
(AI-2) Percent disbursed of irrigation feasibility and design contracts:
The total amount of all signed feasibility, design, and environmental contracts, including resettlement action plans, for agricultural irrigation investments disbursed divided by the total value of all signed contracts.
(AI-3) Value of signed irrigation construction contracts:
The value of all signed construction contracts for agricultural irrigation investments using compact funds.
(AI-4) Percent disbursed of irrigation construction contracts:
The total amount of all signed construction contracts for agricultural irrigation investments disbursed divided by the total value of all signed contracts.
(AI-5) Temporary employment generated in irrigation:
The number of people temporarily employed or contracted by MCA-contracted construction companies to work on construction of irrigation systems.
(AI-6) Farmers trained:
The number of primary sector producers (farmers, ranchers, fishermen, and other primary sector producers) receiving technical assistance or participating in a training session (on improved production techniques and technologies, including post-harvest interventions, developing business, financial, or marketing planning, accessing credit or finance, or accessing input and output markets).
(AI-7) Enterprises assisted:
The number of enterprises; producer, processing, and marketing organizations; water users associations; trade and business associations; and community-based organizations receiving assistance.
(AI-8) Hectares under improved irrigation:
The number of hectares served by existing or new irrigation infrastructure that are either rehabilitated or constructed with MCC funding.
(AI-9) Loan borrowers:
The number of borrowers (primary sector producers, rural entrepreneurs, and associations) who access loans for on-farm, off-farm, and rural investment through MCC financial assistance.
(AI-10) Value of agricultural and rural loans:
The value of agricultural loans and rural loans disbursed for on-farm, off-farm, and rural investments.
(AI-11) Farmers who have applied improved practices as a result of training:
The number of primary sector producers (farmers, ranchers, fishermen, and other primary sector producers) that are applying new production or managerial techniques introduced or supported by MCC training or technical assistance, such as input use, production techniques, irrigation practices, post- harvest treatment, farm management techniques, or marketing strategies.
(AI-12) Hectares under improved practices as a result of training:
The number of hectares on which farmers are applying new production or managerial techniques introduced or supported by MCC, such as input use, production techniques, irrigation practices, post-harvest treatment, farm management techniques, or marketing strategies.
(AI-13) Enterprises that have applied improved techniques:
The number of rural enterprises; producer, processing, and marketing organizations; water users associations; trade and business associations; and community-based organizations that are applying managerial or processing techniques introduced or supported by MCC.
Education Common Indicators:
Process Indicators | Output Indicators | Outcome Indicators | |||||||
---|---|---|---|---|---|---|---|---|---|
Country | Region | (E-1) Value of signed educational facility construction, rehabilitation, and equipping contracts (USD) | (E-2) Percent disbursed of educational facility construction, rehabilitation, and equipping contracts | (E-3) Legal, financial, and policy reforms adopted | (E-4) Educational facilities constructed or rehabilitated | (E-5) Instructors trained | (E-6) Students participating in MCC-supported education activities | (E-7) Graduates from MCC-supported education activities | (E-8) Employed graduates of MCC-supported education activities |
MCC Total | 180,344,006 | 98.6% | 5 | 746 | 4,407 | 215,242 | 62,211 | – | |
EAPLA Total | 38,036,913 | 98.1% | 5 | 40 | 1,798 | 48,234 | 16,252 | – | |
AFRICA Total | 142,307,093 | 98.7% | – | 706 | 2,609 | 167,008 | 45,959 | – | |
El Salvador | EAPLA | 9,857,585 | 99.8% | – | 22 | 378 | 30,672 | 4,285 | – |
Georgia II | – | – | – | – | 50 | 82 | – | – | |
Mongolia | 28,179,328 | 97.6% | 5 | 18 | 1,370 | 17,480 | 11,967 | – | |
Burkina Faso | AFRICA | 22,758,211 | 99.9% | – | 396 | 557 | 31,065 | 4,035 | – |
Ghana | 18,689,747 | 100.0% | – | 250 | – | 41,019 | – | – | |
Morocco | 4,568,837 | 76.2% | – | – | 2,052 | 93,424 | 41,383 | – | |
Namibia | 96,290,298 | 99.2% | – | 60 | – | 1,500 | 541 | – | |
Gender* | |||||||||
Female | 2,297 | 72,843 | 36,990 | – | |||||
Male | 2,110 | 64,223 | 20,513 | – |
All program data are as of September 10, 2015. Data are preliminary and subject to adjustment.† Grey shading indicates closed-out Compacts; data revision is not expected for these Compacts. Indicators in this Results Framework may be added, removed , or modified as MCC’s investments in education evolve over time. ‡ All MCC education programs have as their long-term end goal an increase in individual or household income and a corresponding decrease in poverty. † All financial data is of June 10, 2015.
*Gender totals may not match overall totals due to lack of gender counting in earlier compacts.
Common Indicator Definitions:
- (E-1) Value of signed educational facility construction, rehabilitation, and equipping contracts:
- The value of all signed construction contracts for educational facility construction, rehabilitation, or equipping (e.g. information technology, desks and chairs, electricity and lighting, water systems, latrines) using compact funds.
- (E-2) Percent disbursed of educational facility construction, rehabilitation, and equipping contracts:
- The total amount of all signed construction contracts for education facility works or equipping divided by the total value of all signed contracts.
- (E-3) Legal, financial, and policy reforms adopted:
- The number of reforms adopted by the public sector attributable to compact support that increase the education sector's capacity to improve access, quality, and/or relevance of education at any level, from primary to post-secondary.
- (E-4) Educational facilities constructed or rehabilitated:
- The number of educational facilities constructed or rehabilitated according to standards stipulated in MCA contracts signed with implementers.
- (E-5) Instructors trained:
- The number of classroom instructors who complete MCC-supported training focused on instructional quality as defined by the compact training activity.
- (E-6) Students participating in MCC-supported education activities:
- The number of students enrolled or participating in MCC-supported educational schooling programs.
- (E-7) Graduates from MCC-supported education activities:
- The number of students graduating from the highest grade (year) for that educational level in MCC-supported education schooling programs.
- (E-8) Employed graduates of MCC-supported education activities:
- The number of MCC-supported training program graduates employed in their field of study within one year after graduation.
Land Common Indicators:
Output Indicators | Outcome Indicators | ||||||||
---|---|---|---|---|---|---|---|---|---|
Country | Region | R(L-1) Legal and regulatory reforms adopted | R(L-2) Land administration offices established or upgraded | R(L-3) Stakeholders trained | R(L-4) Conflicts successfully mediated | R(L-5) Parcels corrected or incorporated in land system | R(L-6) Land rights formalized | R(L-7) Percentage change in time for property transactions | R(L-8) Percentage change in cost for property transactions |
MCC Total | 115 | 393 | 73,211 | 12,255 | 315,480 | 311,785 | NA | NA | |
EAPLA Total | 6 | 15 | 3,920 | 10,639 | 18,336 | 20,672 | NA | NA | |
AFRICA Total | 109 | 378 | 69,291 | 1,616 | 297,144 | 291,113 | NA | NA | |
Mongolia | EAPLA | 6 | 15 | 3,920 | 10,639 | 18,336 | 20,672 | – | – |
Nicaragua | – | – | – | – | – | – | – | – | |
Benin | AFRICA | – | – | 50 | – | – | – | – | – |
Burkina Faso | 54 | 78 | 61,057 | 1,364 | 18,490 | 4,793 | – | – | |
Cabo Verde II | 17 | 23 | 148 | – | – | – | – | – | |
Ghana | 4 | 3 | 427 | 23 | 1,481 | – | – | – | |
Lesotho | 11 | 1 | 575 | 151 | 53,296 | 21,753 | -93 | – | |
Madagascar | 4 | 237 | – | – | – | – | – | – | |
Mali | – | 1 | 1,354 | – | – | – | – | – | |
Mozambique | – | 26 | 1,516 | – | 205,005 | 251,556 | – | – | |
Namibia | 19 | – | 2,524 | – | 8,869 | 4,356 | – | – | |
Senegal | – | 9 | 1,640 | 78 | 10,003 | 8,655 | – | – | |
Gender* | |||||||||
Male | 51,326 | 83,967 | |||||||
Female | 20,729 | 54,026 | |||||||
Joint | 18,489 | ||||||||
Location* | |||||||||
Urban | 177,420 | 146,969 | |||||||
Rural | 84,764 | 122,391 |
All program data are as of September 10, 2015. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2015. Grey shading indicates closed-out Compacts; data revision is not expected for these Compacts.
*Gender and location totals may not match overall totals due to lack of counting by gender and location in earlier Compacts.
Common Indicator Definitions:
- (L-1) Legal and regulatory reforms adopted:
- The number of specific pieces of legislation or implementing regulations adopted by the compact country and attributable to compact support.
- (L-2) Land administration offices established or upgraded:
- The number of land administration and service offices or other related facilities that the project physically establishes or upgrades.
- (L-3) Stakeholders trained:
- The number of public officials, traditional authorities, project beneficiaries and representatives of the private sector, receiving formal on-the-job land training or technical assistance regarding registration, surveying, conflict resolution, land allocation, land use planning, land legislation, land management or new technologies.
- (L-4) Conflicts successfully mediated:
- The number of disputed land and property rights cases that have been resolved by local authorities, contractors, mediators or courts with compact support.
- (L-5) Parcels corrected or incorporated in land system:
- The number of parcels with relevant parcel information corrected or newly incorporated into an official land information system (whether a system for the property registry, cadastre or an integrated system).
- (L-6) Land rights formalized:
- The number of household, commercial and other legal entities (e.g., NGOs, churches, hospitals) receiving formal recognition of ownership and/or use rights through certificates, titles, leases, or other recorded documentation by government institutions or traditional authorities at national or local levels.
- (L-7) Percentage change in time for property transactions:
- The average percentage change in number of days for an individual or company to conduct a property transaction within the formal system.
- (L-8) Percentage change in cost for property transactions:
- The average percentage change in US Dollars of out of pocket cost for an individual or company to conduct a property transaction within the formal system.
Roads Common Indicators:
Process Indicators | Output Indicators | Outcome Indicators | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Country | Region | (R-1) Value of signed road feasibility and design contracts | (R-2) Percent disbursed of road feasibility and design contracts | (R-3) Kilometers of roads under design | (R-4) Value of signed road construction contracts | (R-5) Percent disbursed of road construction contracts | (R-6) Kilometers of roads under works contracts | (R-7) Temporary employment generated in road construction | (R-8) Kilometers of roads completed | (R-9) Roughness | (R-10) Average annual daily traffic | (R-11) Road traffic fatalities |
MCC Total | 130,499,160 | 96.7% | 4,433 | 2,370,736,222 | 86.1% | 3,918 | 49,822 | 2,876 | NA | NA | 350 | |
EAPLA Total | 64,075,771 | 93% | 1,758 | 1,109,432,912 | 85% | 1834.3 | 1,309 | 1,590 | – | – | – | |
AFRICA Total | 66,423,389 | 100% | 2,675 | 1,261,303,310 | 87% | 2083.4 | 48,513 | 1,286 | – | – | 350 | |
Armenia | EAPLA | – | – | – | – | – | – | – | 24.4 | 3.47 | 735 | – |
El Salvador | 18,321,410 | 99% | 223 | 248,378,825 | 97% | 223.0 | – | 223.32 | – | – | – | |
Georgia | 11,980,000 | 99% | – | 197,299,030 | 100% | 220.2 | – | 220.20 | 1.50 | 1,092 | – | |
Honduras | 9,500,000 | 75% | 673 | 179,400,000 | 72% | 673.0 | – | 610.10 | – | – | – | |
Moldova | – | – | 96 | 100,807,443 | 96% | 96.0 | 1,309 | 96 | – | – | ||
Mongolia | 6,083,650 | 89% | 19.3 | 73,108,907 | 91% | 176.4 | – | 176.40 | 1.90 | 353 | – | |
Nicaragua | – | – | 375.5 | 56,507,526 | 100% | 74.0 | – | 74.0 | – | – | – | |
Philippines | 15,235,623 | 94% | 222 | 197,934,131 | 49% | 222.0 | – | 16 | – | – | – | |
Vanuatu | 2,955,088 | 100% | 150 | 55,997,051 | 97% | 149.7 | – | 149.70 | 3.00 | – | – | |
Burkina Faso | AFRICA | 8,339,651 | 115% | 536 | 140,205,145 | 102% | 419.1 | 4,162 | 277.80 | – | – | 6 |
Cape Verde I | 3,520,000 | 92% | 63 | 24,280,000 | 100% | 40.6 | – | 40.60 | 2.00 | – | ||
Ghana | 5,549,044 | 100% | 943 | 250,604,022 | 100% | 446.4 | 35,455 | 445.03 | – | 301 | ||
Mali | – | – | – | 42,918,038 | 35% | 81.0 | – | 79.00 | – | – | – | |
Mozambique** | 17,669,992 | 85% | 253 | 132,240,557 | 88% | 253.0 | 2,308 | 253 | – | – | ||
Senegal | 12,201,371 | 102% | 406 | 271,128,882 | 70% | 375.0 | 2,757 | – | – | – | 43 | |
Tanzania | 19,143,331 | 107% | 473 | 399,926,666 | 91% | 468.34 | 3,831 | 190.14 | – | – | – | |
Gender* | ||||||||||||
Male | 13,260 | 45 | ||||||||||
Female | 1,197 | 4 | ||||||||||
Road Type* | ||||||||||||
Primary | 65,222,944 | 23% | 2,060 | 1,342,644,867 | 90% | 1,867 | 1,177.58 | |||||
Secondary | 24,735,623 | 87% | 1,374 | 642,006,924 | 75% | 1,133 | 319.68 | |||||
Tertiary | 6,719,183 | 112% | 935 | 164,505,401 | 66% | 681 | 1,077.77 |
All program data are as of September 10, 2015. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2015. Grey shading indicates closed-out Compacts; data revision is not expected for these Compacts.
*Gender and road type totals may not match overall totals due to lack of counting by gender and road type in earlier Compacts.
** The kilometers of roads completed for Mozambique is provisional data. Subject to change after verification of takeover certificates.
Common Indicator Definitions:
- (R-1) Value of signed road feasibility and design contracts:
- The value of all signed feasibility, design, and environmental contracts, including resettlement action plans, for road investments using 609(g) and compact funds.
- (R-2.1) Value disbursed of road reasibilty and design contracts:
- The value disbursed of all signed feasibility, design, and environmental contracts, including resettlement action plans, for road investments using 609(g) and compact funds.
- (R-3) Kilometers of roads under design:
- The length of roads in kilometers under design contracts. This includes designs for building new roads and reconstructing, rehabilitating, resurfacing or upgrading existing roads.
- (R-4) Value of signed road construction contracts:
- The value of all signed construction contracts for new roads or reconstruction, rehabilitation, resurfacing or upgrading of existing roads using compact funds.
- (R-5.1) Value disbursed of roads construction contracts:
- The value disbursed of all signed construction contracts for new roads or reconstruction, rehabilitation, resurfacing or upgrading of existing roads.
- (R-5) Percent disbursed of road construction contracts:
- The total amount of all signed construction contracts for new roads or reconstruction, rehabilitation, resurfacing or upgrading of existing roads disbursed divided by the total value of all signed contracts.
- (R-6) Kilometers of roads under works contracts:
- The length of roads in kilometers under works contracts for construction of new roads or reconstruction, rehabilitation, resurfacing or upgrading of existing roads.
- (R-7) Temporary employment generated in road construction:
- The number of people temporarily employed or contracted by MCA-contracted construction companies to work on construction of new roads or reconstruction, rehabilitation, resurfacing or upgrading of existing roads.
- (R-8) Kilometers of roads completed:
- The length of roads in kilometers on which construction of new roads or reconstruction, rehabilitation, resurfacing or upgrading of existing roads is complete (certificates handed over and approved).
- (R-9) Roughness:
- The measure of the roughness of the road surface, in meters of height per kilometer of distance traveled.
- (R-10) Average annual daily traffic:
- The average number and type of vehicles per day, averaged over different times (day and night) and over different seasons to arrive at an annualized daily average.
- (R-11) Road traffic fatalities:
- The number of road traffic fatalities per year on roads constructed, rehabilitated or improved with MCC funding.
Water Supply, Sanitation and Hygiene Common Indicators:
Process Indicators | Output Indicators | Outcome Indicators | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Country | Region | (WS-1) Value of signed water and sanitation feasibility and design contracts (USD) | (WS-2) Percent disbursed of water and sanitation feasibility and design contracts | (WS-3) Value of signed water and sanitation construction contracts (USD) | (WS-4) Percent disbursed of water and sanitation construction contracts | (WS-5) Temporary employment generated in water and sanitation construction | (WS-6) People trained in hygiene and sanitary best practices | (WS-7) Water points constructed | (WS-8) Non revenue water | (WS-9) Continuity of service | (WS-10) Operating cost coverage | (WS-11) Volume of water produced** | (WS-12) Access to improved water supply | (WS-13) Access to improved sanitation | (WS-14) Residential water consumption** | (WS-15) Industrial/Commercial water consumption** | (WS-16) Incidence of diarrhea** |
MCC Total | 55,146,795 | 97.7% | 694,655,717 | 69.7% | 15,437 | 12,038 | 1,181 | 49.2% | NA | NA | 200,330,000 | NA | NA | NA | NA | NA | |
EAPLA Total | 5,250,665 | 96.2% | 368,186,587 | 62.8% | 931 | 2,406 | – | 60.6% | – | – | – | – | – | – | – | – | |
AFRICA Total | 49,896,130 | 97.9% | 326,469,130 | 77.5% | 14,506 | 9,632 | 1,181 | 37.9% | – | – | 200,330,000 | – | – | – | – | – | |
El Salvador | EAPLA | 4,983,800 | 96.0% | 10,451,448 | 97.5% | – | 2,406 | – | – | – | – | – | 83% | 88% | |||
Georgia | 266,865 | 100.0% | 54,315,000 | 94.2% | – | – | – | – | – | – | – | – | – | – | – | – | |
Jordan | – | – | 303,420,139 | 56.0% | 931 | – | – | 60.6% | 36 | 83% | – | – | 72% | – | – | – | |
Cabo Verde II | AFRICA | 2,889,560 | 69.9% | 2,343,526 | 26.4% | 316 | – | – | – | – | – | – | – | – | 20 | 23,896.8 | – |
Ghana | 1,475,148 | 100.0% | 13,949,465 | 100.0% | – | 778 | 392 | – | – | – | – | – | – | 36 | – | – | |
Lesotho | 3,594,133 | 100.0% | 59,733,645 | 89% | 11,527 | 454 | 175 | 27.0% | – | – | – | – | – | – | – | – | |
Mozambique | 35,076,009 | 99.1% | 169,500,497 | 87.5% | 2,276 | 8,400 | 614 | – | – | – | – | 23.4 | – | 19.5 | – | – | |
Tanzania | 6,861,280 | 102.1% | 45,403,796 | 81.1% | 387 | – | – | 48.8% | – | 113% | 200,330,000 | – | – | 167 | 998,440 | – | |
Zambia | – | – | 35,538,201 | – | – | – | – | – | – | – | – | – | – | – | – | – | |
Gender* | |||||||||||||||||
Female | 460 | 5,719 | |||||||||||||||
Male | 3,063 | 5,865 |
“All program data are as of September 10, 2015. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2015. Grey shading indicates closed-out Compacts; data revision is not expected for these Compacts.
** This is a monitoring indicator; any change over baseline data represents the current trend and does not represent the direct impact of the MCC‐investment.”
*Gender totals may not match overall totals due to lack of gender counting in earlier compacts.
Common Indicator Definitions:
- (WS-1) Value of signed water and sanitation feasibility and design contracts:
- The value of all signed feasibility, design, and environmental contracts, including resettlement action plans, for water and sanitation investments using 609(g) and compact funds.
- (WS-2) Percent disbursed of water and sanitation feasibility and design contracts:
- The total amount of all signed feasibility, design, and environmental contracts, including resettlement action plans, for water and sanitation investments disbursed divided by the total value of all signed contracts.
- (WS-3) Value of signed water and sanitation construction contracts:
- The value of all signed construction contracts for reconstruction, rehabilitation, or upgrading of water and sanitation works using compact funds.
- (WS-4) Percent disbursed of water and sanitation construction contracts:
- The total amount of all signed construction contracts for construction, reconstruction, rehabilitation, or upgrading of water and sanitation works disbursed divided by the total value of all signed contracts.
- (WS-5) Temporary employment generated in water and sanitation construction:
- The number of people temporarily employed or contracted by MCA-contracted construction companies to work on construction of water or sanitation systems.
- (WS-6) People trained in hygiene and sanitary best practices:
- The number of people who have completed training on hygiene and sanitary practices that block the fecal-oral transmission route.
- (WS-7) Water points constructed:
- The number of non-networked, stand-alone water supply systems constructed, such as: protected dug wells, tube-wells / boreholes, protected natural springs and rainwater harvesting / catchment systems.
- (WS-8) Non revenue water:
- The difference between water supplied and water sold (i.e. volume of water “lost”) expressed as a percentage of water supplied.
- (WS-9) Continuity of service:
- Average hours of service per day for water supply.
- (WS-10) Operating cost coverage:
- Total annual operational revenues divided by total annual operating costs.
- (WS-11) Volume of water produced:
- Total volume of water produced in cubic meters per day for the service area, i.e. leaving treatment works operated by the utility and purchased treated water, if any.
- (WS-12) Access to improved water supply:
- The percentage of households in the MCC project area whose main source of drinking water is a private piped connection (into dwelling or yard), public tap/standpipe, tube-well, protected dug well, protected spring or rainwater.
- (WS-13) Access to improved sanitation:
- The percentage of households in the MCC project area who get access to and use an improved sanitation facility such as flush toilet to a piped sewer system, flush toilet to a septic tank, flush or pour flush toilet to a pit, composting toilet, ventilated improved pit latrine or pit latrine with slab and cover.
- (WS-14) Residential water consumption:
- The average water consumption in liters per person per day.
- (WS-15) Industrial/Commercial water consumption:
- The average amount of commercial water consumed measured in cubic meters per month.
- (WS-16) Incidence of diarrhea:
- The percentage of individuals reported as having diarrhea in the two weeks preceding the survey.
FY 2016 Corporate Goals
These goals are intended to provide clarity and prioritization for management and staff as the agency moves into FY 2016. As in past years, the corporate goals are the starting point for annual department and division goal-setting, from which staff develop their individual performance plans.
- Empower staff to better fulfill the agency mission and improve organizational health and staff morale.
- Continue to deliver high quality MCC investments and partnerships.
- Strengthen analytical tools and continue to lead on measurement and reporting results.
- Strengthen operational efficiency and effectiveness by improving knowledge management, business processes and systems.
- Expand and deepen the MCC model for greater impact and to enable the agency to continue to fulfill its mission.