In accordance with the Government Performance and Results Act of 1993 (GPRA) and the GPRA Modernization Act of 2010, MCC’s FY 2014 Annual Performance Report (APR) is contained in these appendices of the FY 2016 Congressional Budget Justification. MCC’s Agency Financial Report for FY 2014 has been produced separately and can be accessed at http://www.mcc.gov/documents/reports/report-fy2014-afr.pdf. Additionally, pursuant to GPRA, MCC is in the process of developing a new strategic plan and anticipates releasing it during FY 2015.
MCC’s Data-Driven Selection Process
MCC works with countries committed to good policy performance as determined by the MCC Board of Directors consisting of the Secretary of State, Secretary of the Treasury, U.S. Trade Representative, USAID Administrator, and MCC’s Chief Executive Officer, as well as four non-governmental members appointed by the President and confirmed by the U.S. Senate.
MCC is the only donor agency in the world to base selection so heavily and transparently on public, third-party policy performance data. MCC publishes annual scorecards of country performance on its 20 selection indicators that measure and compare commitment to democratic governance, economic freedom, and investment in people. The indicators–all drawn from publicly available datasets widely used across the international development community–are used to identify countries with policy environments that allow MCC funding to be effective. With many countries eager to demonstrate a commitment to policy improvement because of the transparent selection criteria, this approach often inspires policy reform even before spending money and has been called the “MCC effect.”
When choosing country partners, the Board, by law, also takes into consideration the opportunity to reduce poverty and generate economic growth as well as funds available to MCC. When considering if a country should be eligible for a subsequent compact, the board also looks at that country’s record implementing its first compact.
Supplemental Information
MCC’s annual country scorecards play a key role in the selection process, helping identify a country’s commitment to policy reform and good governance relative to its income peers. In addition, the Board considers whether any adjustments should be made for data gaps, data lags or recent events since the indicators were published, as well as strengths or weaknesses in particular indicators. Where appropriate, the board will take into account additional quantitative and qualitative information, such as evidence of a country’s commitment to fighting corruption, investments in human development outcomes, or poverty rates. The types of supplemental data and lists of sources can be found on MCC’s website (http://1.usa.gov/18Qibjn).
Subsequent Compacts
MCC’s founding legislation permits the agency to enter into one or more subsequent compacts after completing a first. This provision recognizes the reality that for poor countries, even the ones with strong policies conducive to economic growth already in place, it takes decades of sustained growth to lift citizens out of poverty. However, MCC’s relationship with countries is not and should not be open-ended. MCC’s board is particularly selective when determining eligibility for subsequent compacts. In those cases where subsequent compacts have been considered, they were determined to play a pivotal role in the ability to reduce poverty, promote economic growth, and provide opportunities to explore more innovative approaches, including ways to leverage additional country resources as well as potential private sector investment.
Selection for subsequent compacts is not automatic; on top of strong scorecard performance, the Board also assesses the first compact. To assess implementation of a prior compact, the Board examines the implementation of the first compact (especially in the areas of achievement of results, committed partnership and adherence to policies); looks for evidence of improved scorecard policy performance; and expects a commitment to further, deep sectoral reform in a subsequent compact.
Evidence and Evaluation after Selection
MCC’s selection process is data driven, as is the process for making investment decisions and evaluating results. MCC shares its data and learning publicly to improve its business and allow others to benefit from its experience.
Investment Decisions
After using data to drive selection, MCC then uses economic analysis to inform investment decisions. Because most poor countries have many development needs, local and international stakeholders often struggle with setting priorities. MCC uses several tools to identify investment opportunities that will be cost-effective and do the most to raise incomes and reduce poverty.
- MCC asks partner countries to conduct a constraints analysis to identify the barriers to private investment and economic growth. Based on this analysis, in consultation with civil society and the private sector, countries propose possible projects for overcoming these barriers.
- Program logic describes how a proposed investment is expected to reduce poverty through economic growth. It outlines the chain of project activities, showing how household incomes will increase. It informs project design, economic analysis and evaluation questions.
- Cost-benefit analysis is used by partner countries and MCC to estimate the expected increase in household incomes of each proposed project. This helps MCC distinguish among projects with significant potential to spur growth and reduce poverty versus those that may be politically popular within a partner country but do not anticipate sufficient returns.
- MCC calculates economic rates of return (ERRs) to inform project decisions and measures them again during implementation if projects are modified. The cost-benefit analysis describes how the dollars spent on each activity will lead to higher incomes. It generates an ERR that reflects the fundamental economic viability of each proposed investment—that is, whether the expected results justify the costs.
- MCC and partner countries use an initial social and gender analysis (ISGA) as well as beneficiary analysis (BA) to assess how estimated project income gains will affect different income groups.
Monitoring Results
MCC is committed to delivering and measuring results throughout the investment lifecycle. MCC’s results framework measures, collects, and helps MCC learn about: policy reforms associated with compact eligibility; program investments; project inputs and outputs; interim outcomes; and performance and impact as measured through independent evaluations. MCC publishes quarterly reports of monitoring indicators against compact targets.
Leadership in Evaluation Practices
MCC uses independent evaluations for learning and accountability and to test assumptions about what works to reduce poverty. MCC’s independent evaluations build on monitoring to track input, output, and some outcome indicators during compact implementation. It is common in the development community to focus on inputs (such as the funds dedicated to farmer training), outputs (such as the number of farmers trained), and increasingly on some intermediate outcomes (such as the rate of farmer adoption of improved techniques for cultivation). MCC takes evaluation one step further to see if a link can be made between these indicators and an ultimate impact of increased household incomes. This is a difficult task, and evaluations are the primary mechanisms for measuring whether or not that link occurred and why by testing the assumptions underlying the program logic. Results build evidence to inform future investment decisions, both at MCC and in the broader development community.
Distinguishing between impact and performance evaluations.
- Performance evaluations estimate the contribution of MCC investments to changes in trends on outcomes, including household income. Performance evaluations are less rigorous and cannot attribute causal impact to MCC investments because they do not utilize a counterfactual. Performance evaluations serve an accountability purpose by comparing changes between situations before and after MCC investments.
- Impact evaluations are the most rigorous form of evaluations because they estimate the causal impact of MCC investments on key outcome indicators. They make it possible to know whether the observed impacts were caused specifically by an MCC investment or are the result of external factors. Impact evaluations compare what happened with the investment to what would have happened without it through the use of a counterfactual. About 40 percent of MCC's project portfolio is covered by impact evaluations.
Transparency and Learning
MCC shares its data and learning publicly to improve its business and allow others to benefit equally from its experience. In 2013, the International Aid Transparency Index ranked MCC the most transparent aid agency in the world. More importantly, MCC believes that its commitment to transparency is what holds the agency accountable to its mission and to learn and do better. MCC continues to look for ways to make its evidence, evaluation, and learning more accessible and useful to the agency’s own learning and for the broader development community.
Program Portfolios and Results
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 | 395.3 | 9/12/2005 | 4/7/2006 | 4/7/2011 | |||
Benin | 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 | 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 | 460.9 | 11/29/2006 | 9/20/2007 | 9/20/2012 | |||
Mozambique | 506.9 | 7/13/2007 | 9/22/2008 | 9/22/2013 | |||
Lesotho | 362.6 | 7/23/2007 | 9/17/2008 | 9/17/2013 | |||
Morocco | 697.5 | 8/31/2007 | 9/15/2008 | 9/15/2013 | |||
Mongolia | 284.9 | 10/22/2007 | 9/17/2008 | 9/17/2013 | |||
Tanzania | 698.1 | 2/17/2008 | 9/17/2008 | 9/17/2013 | |||
Burkina Faso | 480.9 | 7/14/2008 | 7/31/2009 | ||||
Namibia | 304.5 | 7/28/2008 | 9/16/2009 | ||||
Senegal | 540.0 | 9/16/2009 | 9/23/2010 | ||||
Moldova | 262.0 | 1/22/2010 | 9/1/2010 | ||||
Philippines | 433.9 | 9/23/2010 | 05/25/11 | ||||
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 | |||||
Ghana, 2014 | 498.2 | 8/5/2014 | |||||
El Salvador, 2014 | 277.0 | 9/30/2014 |
* 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.
Country | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | Total |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Armenia | 176.6 | 176.6 | ||||||||||
Benin | 301.8 | 301.8 | ||||||||||
Burkina Faso | 480.9 | 480.9 | ||||||||||
Cabo Verde, 2005 | 108.5 | 108.5 | ||||||||||
Cabo Verde, 2012 | 66.2 | 66.2 | ||||||||||
El Salvador, 2006 | 361.8 | 87.8 | 449.6 | |||||||||
El Salvador, 2014 | 8.0 | 109.0 | 160.0 | 277.0 | ||||||||
Georgia, 2005 | 290.2 | 24.2 | 17.0 | 55.8 | 387.2 | |||||||
Georgia, 2013 | 140.0 | 140.00 | ||||||||||
Ghana, 2006 | 536.3 | 536.3 | ||||||||||
Ghana, 2014 | 17.0 | 283.0 | 198.2 | 498.2 | ||||||||
Honduras | 204.0 | 204.0 | ||||||||||
Indonesia | 55.0 | 545.0 | 600.0 | |||||||||
Jordan | 55.0 | 220.1 | 275.1 | |||||||||
Kenya | 0.1 | 0.1 | ||||||||||
Lesotho | 358.0 | 358.0 | ||||||||||
Madagascar | 85.6 | 85.6 | ||||||||||
Malawi | 209.9 | 140.8 | 350.7 | |||||||||
Mali | 435.6 | 435.6 | ||||||||||
Moldova | 90.7 | 16.4 | 8.5 | 0.9 | 9.0 | 86.6 | 50.0 | 262.0 | ||||
Mongolia | 269.0 | 269.0 | ||||||||||
Morocco | 72.0 | 578.2 | 650.2 | |||||||||
Mozambique | 447.9 | 447.9 | ||||||||||
Namibia | 224.1 | 80.4 | 304.5 | |||||||||
Nicaragua | 112.7 | 112.7 | ||||||||||
Philippines | 433.9 | 433.9 | ||||||||||
Senegal | 540.0 | 540.0 | ||||||||||
Tanzania | 694.5 | 694.5 | ||||||||||
Vanuatu | 65.4 | 65.4 | ||||||||||
Zambia | 354.8 | 354.8 | ||||||||||
Grand Total | 891.7 | 1,247.6 | 1,401.1 | 1,412.8 | 1,320.6 | 681.6 | 913.9 | 685.8 | 670.0 | 442.0 | 198.2 | 9,866.3 |
*Amounts are net of de-obligations, where applicable. Also, amounts may not add due to rounding.
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 | 13.9 | 4/3/2006 | 11/15/2008 | |||
Tanzania | 11.2 | 5/3/2006 | 12/30/2008 | |||
Paraguay | 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 | 45.0 | 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 | In progress | |||
Peru | 35.6 | 6/9/2008 | 9/30/2012 | |||
Rwanda | 24.7 | 9/24/2008 | 12/31/2011 | |||
Albania | 15.7 | 9/29/2008 | 7/31/2011 | |||
Paraguay | 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 |
* MCC had a $23 million threshold program with Niger prior to suspension; however, only $17 million was spent prior to suspension and now $2 million has been allocated to complete the program.
Results of Recently Closed Compacts
Burkina Faso
The $480.9 million Burkina Faso Compact sought to reduce poverty through economic growth by making strategic investments to improve land tenure security and land management, enhance the volume and value of agriculture production, expand access to markets through investments in the road network, and increase primary school completion rates for girls.
Policy Reforms | Agriculture Development Project Integrated Water Resource Management (IWRM): The project worked with the Government of Burkina Faso (GOBF) to develop IWRM plans and strengthen water management institutions in the Mouhoun and Comoé Basins. These plans, the first of their kind, create a policy environment and institutional framework that allows for participatory feedback from local water users to ensure improved protection and equitable distribution of valuable water resources, proper levying of water use fees, adequate operation and maintenance of public infrastructure, and the realization of the economic potential of approximately 5 million Burkinabè living in the basins. Properly implemented IWRM plans will promote efficient use of land and water resources and increase agricultural production and employment opportunities. Roads Project The Burkina Faso Road Maintenance Fund (FER-B): The institutional arrangements for nationwide road maintenance have been enhanced under the compact. The FER-B adopted private sector accounting practices along with using a competitive selection panel for the director general. The board of FER-B also was restructured in order to have private sector participation and a change in statutes now allows private entities to supervise maintenance works. Additionally, procurement, financial, accounting, standardized bidding documents, and technical manuals were created and adopted. The GOBF has created, adopted and plans to continually update a five-year road maintenance plan and their 15-year master plan. Rural Land Governance Project Rural Land Law, Agrarian and Land Reorganization and Rural Land Services: Policy performance was outstanding. Under the project (including pre-compact support), Burkina Faso’s key laws on rural land were improved to emphasize more secure private rights to land, better land-use planning, and better conflict resolution. Fifty-four legal and regulatory reforms were adopted nationwide and decentralized land management services were implemented in 47 of Burkina Faso’s 302 rural communes. Other donors such as the French Development Agency, the European Union, the World Bank, and the GOBF itself have committed to expanding MCC-funded advancements to the remaining communes countrywide. |
---|---|
Outputs | Roads Project
Rural Land Governance Project
Agriculture Development Project
BRIGHT 2 Schools Project
|
Expected Outcomes | Roads Project
Rural Land Governance Project
Agriculture Development Project
BRIGHT 2 Schools Project
|
Evaluations | Roads Project
Rural Land Governance Project
Agriculture Development Project
BRIGHT 2 Schools Project
|
Namibia
The $304.5 million Namibia Compact was designed to reduce poverty through economic growth in Namibia. The program focused on improving the quality of education and training for underserved populations, and also attempts to capitalize on Namibia’s comparative advantages, namely large areas of semi-arid communal land suitable for livestock grazing, natural products indigenous to Namibia and diverse wildlife and unique landscapes ideal for ecotourism.
Policy Reforms |
|
---|---|
Outputs | Education Project
Vocational training activity
Improving access and management of textbooks
Investment in Regional Resource Study Centers
Tourism Project
Conservancy support
Marketing Namibia tourism
Agriculture Project
Livestock Support Activity
Indigenous Natural Products (INP) Activity
|
Preliminary and Expected Outcomes | Education Project
Additional expected outcomes under the Education Project, which will be monitored post-compact, include:
Tourism Project
Over 26,000 North American tourists arrived in Namibia during the 2012-2013 season, compared with 24,000 the previous year and 23,000 at baseline.
|
Evaluations | Education Project
Tourism Project
Agriculture Project
|
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 ensure that adequate due diligence is conducted 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.
There are no programmatic changes/compact modifications to report for FY 2014.
Estimating Compact Beneficiaries and Benefits
Under MCC's results framework, beneficiaries are defined as an individual and all members of that 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 income as a result of the project. Before signing a compact, MCC estimates expected long-term income gains through a rigorous benefit-cost analysis and may modify estimates and/or the present value (PV) of benefits when project designs change during implementation.
Compact | Estimated Number of Beneficiaries | Estimated Long-Term Income Gain Over the Life of the Project (PV of Benefits) 3 |
---|---|---|
Armenia | 428,000 | $295,500,000 |
Benin | 14,059,000 | $409,600,000 |
Burkina Faso | 1,181,000 | $151,000,000 |
Cabo Verde 2005 | 385,000 | $149,500,000 |
Cabo Verde 2012 | 604,000 | $112,900,000 |
El Salvador | 706,000 | $366,700,000 |
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 | 2,900,000 | $217,000,000 |
Jordan | 3,657,000 | $398,900,000 |
Lesotho | 1,041,000 | $376,000,000 |
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 | $542,300,000 |
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 4 | 174,996,000 | $10,100,300,000 |
Sector Results—Agriculture, Education, Land, Roads, Water
Agriculture and Irrigation Common Indicators
A focus on results is one of the core principles on which the Millennium Challenge Corporation (MCC) was founded. Within country-specific plans, MCC uses common indicators to aggregate results across countries within certain sectors. MCAs are not required to report on certain common indicators where collecting that data is too costly or infeasible given existing data collection plans.
| | 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 | | 65,086,225 | 93.0% | 671,333,769 | 79.3% | 6,145 | 271,650 | 4,147 | 120,063 | 1,171 | 87,753,366 | 124,209 | 34,947 | 976 |
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 | 272 | – | 29 | 10,820,274 | 11,520 | – | 163 | |
Georgia | 1,155,881 | 53.4% | – | – | – | – | 291 | – | – | 19,880,003 | – | – | – | |
Honduras | – | – | – | – | – | 7,265 | 464 | 400 | – | 17,100,000 | 6,996 | – | – | |
Moldova | 4,930,848 | 93.1% | 79,906,386 | 35.9% | 121 | 4,638 | 273 | – | 38 | 6,653,126 | 1,271 | – | 37 | |
Nicaragua | 700,000 | 100.0% | – | – | – | 9,104 | – | – | – | – | 9,104 | – | – | |
Burkina Faso | AFRICA | 11,311,418 | 95.5% | 57,141,012 | 107.7% | 2,414 | 10,553 | 272 | 2,240 | 96 | 1,209,000 | 7,035 | 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 | – | – | 1,100,000 | 1,892 | – | 1 | |
Mali | 9,077,220 | 98.2% | 148,951,503 | 98.3% | – | 1,308 | – | 97,503 | – | 500,000 | 801 | – | – | |
Morocco | 18,949,079 | 100.0% | 108,017,501 | 99.0% | – | 40,863 | 114 | 19,393 | – | – | – | 31,578 | 34 | |
Mozambique | – | – | – | – | – | 28,830 | 186 | – | – | – | – | – | – | |
Namibia | – | – | – | – | – | 9,238 | – | – | – | – | – | – | – | |
Senegal | 9,157,819 | 67.3% | 152,486,112 | 42.3% | 1,221 | – | – | – | – | – | – | – | – | |
Gender* | | | | | | | | | | | | | | |
Female | | | | | 177 | 40,723 | 93 | | 112 | 414,638 | 11,161 | | 15 | |
Male | | | | | 3,579 | 73,538 | 366 | | 1,030 | 6,238,488 | 23,569 | | 50 |
All program data are as of September 10, 2014, with the exception of the data from Burkina Faso which are as of June 10, 2014. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2014. Grey shading indicatres 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
A focus on results is one of the core principles on which the Millennium Challenge Corporation (MCC) was founded. Within country-specific plans, MCC uses common indicators to aggregate results across countries within certain sectors. MCAs are not required to report on certain common indicators where collecting that data is too costly or infeasible given existing data collection plans.
| | 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 | | 179,080,800 | 94.8% | 5 | 745 | 4,160 | 228,693 | 62,120 | 176 |
El Salvador | EAPLA | 10,217,104 | 99.8% | – | 22 | 377 | 30,632 | 4,285 | – |
Georgia II | | | | | | | | | |
Mongolia | 28,179,328 | 97.6% | 5 | 18 | 1,370 | 17,480 | 11,967 | 176 | |
Burkina Faso | AFRICA | 22,758,211 | 99.9% | – | 396 | 557 | 35,909 | 4,035 | – |
Ghana | 18,689,747 | 100.0% | – | 250 | – | 41,019 | – | – | |
Morocco | 4,491,521 | 100.0% | – | – | 1,856 | 102,518 | 41,383 | – | |
Namibia | 94,744,889 | 1 | 0 | 59 | – | 1,135 | 450 | – | |
Gender* | | | | | | | | | |
Female | | | | | 2,029 | 77,114 | 36,936 | 98 | |
Male | | | | | 1,754 | 71,143 | 20,449 | 78 |
All program data are as of September 10, 2014, with the exception of the data from Burkina Faso which are as of June 10, 2014. 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, 2014.
*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
A focus on results is one of the core principles on which the Millennium Challenge Corporation (MCC) was founded. Within country-specific plans, MCC uses common indicators to aggregate results across countries within certain sectors. MCAs are not required to report on certain common indicators where collecting that data is too costly or infeasible given existing data collection plans.
| | Output Indicators | Outcome Indicators | ||||||
---|---|---|---|---|---|---|---|---|---|
Country | Region | (L-1) Legal and regulatory reforms adopted | (L-2) Land administration offices established or upgraded | (L-3) Stakeholders trained | (L-4) Conflicts successfully mediated | (L-5) Parcels corrected or incorporated in land system | (L-6) Land rights formalized | (L-7) Percentage change in time for property transactions | (L-8) Percentage change in cost for property transactions |
MCC Total | | 108 | 205 | 99,578 | 13,224 | 304,271 | 304,662 | NA | NA |
Mongolia | EAPLA | 6 | 15 | 3,920 | 10,639 | 18,336 | 20,672 | – | – |
Nicaragua | – | 8 | 1,610 | – | – | – | – | – | |
Benin | AFRICA | – | – | 50 | – | – | – | – | – |
Burkina Faso | 54 | 13 | 74,157 | 2,341 | 17,284 | 5,127 | – | – | |
Cabo Verde II | 6 | 14 | 43 | – | – | – | – | – | |
Ghana | 4 | 3 | 427 | 23 | 1,481 | – | – | – | |
Lesotho | 11 | 1 | 575 | 158 | 53,296 | 21,753 | -93 | – | |
Madagascar | 4 | 115 | 12,216 | – | – | – | – | – | |
Mali | – | 1 | 1,354 | – | – | – | – | – | |
Mozambique | – | 26 | 1,516 | – | 205,005 | 251,556 | – | – | |
Namibia | 23 | – | 2,524 | – | 8,869 | 4,356 | – | – | |
Senegal | – | 9 | 1,186 | 63 | – | 1,198 | | | |
Gender* | | | | | | | | | |
Male | | | | 61,808 | | | – | | |
Female | | | | 21,495 | | | – | | |
Joint | | | | | | | – | | |
Location | | | | | | | | | |
Urban | | | | | | 170,005 | 146,969 | | |
Rural | | | | | | 35,000 | 104,587 | | |
All program data are as of September 10, 2014, with the exception of the data from Burkina Faso which are as of June 10, 2014. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2014. 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
- (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
A focus on results is one of the core principles on which the Millennium Challenge Corporation (MCC) was founded. Within country-specific plans, MCC uses common indicators to aggregate results across countries within certain sectors. MCAs are not required to report on certain common indicators where collecting that data is too costly or infeasible given existing data collection plans.
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 | 149,664,529 | 89.4% | 4,649 | 2,355,395,737 | 76.6% | 3,937 | 43,663 | 2,444 | NA | NA | – | |
Armenia | EAPLA | – | – | – | – | – | 24.4 | – | 24.4 | 3.47 | 735 | – |
El Salvador | 17,854,906 | 97% | 223 | 230,436,425 | 96% | 223.0 | – | 223.32 | – | – | – | |
Georgia | 11,980,000 | 99% | 220.2 | 197,299,030 | 100% | 220.2 | – | 217.90 | 1.50 | 1,092 | – | |
Honduras | 9,500,000 | 75% | 672 | 184,500,000 | 70% | 671.8 | – | 610.10 | – | – | – | |
Moldova | – | – | 93 | 93,029,240 | 75% | 93.0 | 1,277 | – | – | – | – | |
Mongolia | 6,083,650 | 89% | 19.3 | 73,108,907 | 91% | 176.4 | – | 176.40 | 1.90 | 353 | – | |
Nicaragua | 6,900,000 | 100% | 375.5 | 56,507,526 | 100% | 74.0 | – | 74.0 | – | – | – | |
Philippines | 15,023,359 | 94% | 222 | 194,156,353 | 29% | 222.0 | – | – | – | – | – | |
Vanuatu | 5,300,000 | 100% | 150 | 54,700,000 | 97% | 149.7 | – | 149.70 | 3.00 | 368 | – | |
Burkina Faso | AFRICA | 8,339,651 | 95% | 536 | 140,205,145 | 68% | 418.6 | 3,705 | – | – | – | 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 | 30,415 | 445.03 | 0 | |||
Mali | 9,077,220 | 44% | – | 42,918,038 | 35% | 81.0 | – | 79.00 | – | – | – | |
Mozambique | 17,669,992 | 85% | 253 | 132,240,557 | 88% | 253.0 | 2,308 | 253 | – | – | ||
Senegal | 11,923,377 | 66% | 406 | 271,128,882 | 30% | 375.0 | 2,037 | – | – | – | – | |
Tanzania | 20,943,331 | 105% | 473 | 410,281,613 | 91% | 468.34 | 3,921 | 150.14 | 0 | 0 | 0 | |
Gender* | ||||||||||||
Male | 12,163 | |||||||||||
Female | 1,085 | |||||||||||
Road Type | ||||||||||||
Primary | 76,648,098 | 2,044 | 1,491,583,144 | 1,916 | 890.60 | |||||||
Secondary | 24,523,359 | 894 | 378,656,353 | 813 | 610.00 | |||||||
Tertiary | 13,444,028 | 902 | 142,014,736 | 643 | 460.84 |
All program data are as of September 10, 2014, with the exception of the data from Burkina Faso which are as of June 10, 2014. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2014. 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
- (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-2) Percent disbursed of road feasibility and design contracts
- The total amount of all signed feasibility, design, and environmental contracts, including resettlement action plans, for road investments disbursed divided by the total value of all signed contracts.
- (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
A focus on results is one of the core principles on which the Millennium Challenge Corporation (MCC) was founded. Within country-specific plans, MCC uses common indicators to aggregate results across countries within certain sectors. MCAs are not required to report on certain common indicators where collecting that data is too costly or infeasible given existing data collection plans.
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** | Residential population connnected to sewer system** | Residential population** | (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 | 64,926,780 | 98.8% | 574,167,451 | 71.8% | 15,142 | 12,038 | 1,181 | 47.9% | NA | NA | 200,330,000 | NA | NA | NA | NA | NA | NA | NA | |
El Salvador | EAPLA | 6,484,687 | 95.9% | 10,489,711 | 96.0% | – | 2,406 | – | – | – | – | 83% | 88% | ||||||
Georgia | 266,865 | 100.0% | 54,315,000 | 94.2% | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
Jordan | – | – | 220,775,336 | 47.5% | 952 | – | – | 58.0% | 36 | 87% | – | – | – | – | 72% | – | – | – | |
Cabo Verde II | AFRICA | 1,417,590 | 77.9% | – | – | – | – | – | – | – | – | – | – | – | – | – | 17 | 22,332.0 | – |
Ghana | 1,475,148 | 100.0% | 13,949,465 | 100.0% | – | 778 | 392 | – | – | – | – | – | – | – | – | 36 | – | – | |
Lesotho | 13,345,202 | 100.0% | 59,733,645 | 79% | 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 | 79.0% | 45,403,796 | 81.1% | 387 | – | – | 48.8% | – | 113% | 200,330,000 | – | – | – | – | 167 | 998,440 | 0.0% | |
Zambia | |||||||||||||||||||
Gender* | |||||||||||||||||||
Female | 242 | 5,719 | |||||||||||||||||
Male | 2,715 | 5,865 |
All program data are as of September 10, 2014. Data are preliminary and subject to adjustment.† All financial data is of June 10, 2014. 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 2015 Corporate Goals
As part of MCC’s current performance management process, Corporate Goals are adopted each year and integrated into departmental goals and individual performance plans to ensure consistency and alignment. The FY 2015 goals are listed below. Additionally, pursuant to GPRA, MCC is in the process of developing a new strategic plan and anticipates releasing it during FY 2015.
- Improve the quality and speed of the compact development process and present to the board three compacts and one threshold agreement by September 2015.
- Leverage internal, interagency, and private sector resources to maximize development impact of and returns on MCC investments and to increase scale of compact programs.
- Streamline business processes to improve cost effectiveness, oversight, organizational efficiency, and compact implementation and closure.
- Strengthen MCC practice and reputation through internal learning efforts, external engagement, and strategic communication.
- Improve organizational performance and health through better planning, decision-making, and communication.