USAID/Ghana  Performance Indicator Reference Sheet

CDCS Goal: Ghana's Transition Towards Established Middle Income Status Accelerated

Development Objective: DO 2 – Sustainable and Broadly Shared Economic Growth

Intermediate Result:

IR 2.1: Increased competitiveness of major food chains

Sub-Intermediate Result:

IR 2.1.1: Increased agricultural productivity

Name of Performance Indicator: Number of members of producer organizations and community based organizations receiving USG assistance (S)

Performance Plan and Report Indicator:

Foreign Assistance Framework: FtF 4.5.2-27                              Indicator Type: Output

PERFORMANCE INDICATOR DESCRIPTION

Precise Definition(s): 

producer organization in this context is any grouping of people involved in agriculture including input suppliers, transporters, farmers, fishers, ranchers, processors, etc. that is organized around adding value to agricultural production. A community based organization (CBO) in this context is simply an organization involved in supporting any type of agricultural activity (including post-harvest transformation) and is based in a community and made up principally of individuals from the local community. Producer associations are often CBOs, but are reported as a distinct disaggregate USG assistance can include any help provided to either type of organization to expand coverage, services provided, information, etc. Some examples are organizational capacity building, training, other technical assistance, provision of supplies and materials, encouragement and motivation for improvements, etc. The indicator includes any person within the agricultural value chain who is a member of one of these organizations and thus directly received USG assistance.

This indicator counts the number of members within these types of organizations which receive assistance. It does not count the number of institutions, the amount of the assistance or the change in the value of agricultural commodities.

Unit of Measure:    Number

Disaggregated by: Type of organization: Producer organization, Non-producer-organization CBO

Sex: Male, Female

Rationale or Management Utility (optional): Helping the members of these institutions directly strengthens those organizations, which in turn will assist in improving the

overall value of production in the agricultural value chain, improving productivity and contributing to a reduction in poverty, as most of the poor are in rural areas either as farmers, farm workers or workers in rural enterprises

.

PLAN FOR DATA COLLECTION BY USAID

Data Source: Activity records

Method of Data Acquisition: Activity level; those affected by USG activity scope

Frequency and Timing of Data Acquisition: Annually

Individual(s) Responsible for Data at USAID:

Individual(s) Responsible for Providing Data to USAID (optional):

Location of Data Storage (optional):

DATA QUALITY ISSUES

Date of Most Recent Data Quality Assessment and Name(s) of Reviewer(s): 

Date of Future Data Quality Assessments (optional):

Known Data Limitations and Significance (optional): 

Actions Taken or Planned to Address Data Limitations (optional): 

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis (optional):

Presentation of Data (optional):  

Initial Review Conducted by (optional): 

Mission/Team Review (optional): 

BASELINE AND TARGETS

Baseline Timeframe (optional): 

Rationale for Targets (optional):

Other Notes (optional):

CHANGES TO PERFORMANCE INDICATOR

Changes to Indicator: 

Other Notes (optional): 

THIS SHEET WAS LAST UPDATED ON: 11/3/2014

USAID/Ghana  Performance Indicator Reference Sheet

CDCS Goal: Ghana's Transition Towards Established Middle Income Status Accelerated

Development Objective: DO 2 – Sustainable and Broadly Shared Economic Growth

Intermediate Result:

IR 3: Increased investment in agriculture and nutrition-related activities

Sub-Intermediate Result:

IR 2.1.1: Increased agricultural productivity

Name of Performance Indicator: Number of public-private partnerships formed as a result of USG assistance (RAA) EG.3.2-5

Performance Plan and Report Indicator:

Foreign Assistance Framework: Ghana CDCS IR 2.2; and USAID EG.3.2-5 

Indicator Type: Output

PERFORMANCE INDICATOR DESCRIPTION

Precise Definition(s): This indicator counts the number of public-private partnerships (PPPs) in agriculture or nutrition formed during the reporting year due to a Feed the Future intervention (i.e. agricultural or nutrition activity, as described below). A public-private partnership is considered formed when there is a clear agreement, usually written, between two or more formal entities to work together to achieve a common objective. There must be either a cash or in-kind significant contribution to the effort by both the public and the private entity or entities.

The essential characteristics of a PPP are:

1. The objective of the partnership agreement between the public and private entity(ies) is to achieve a common good,
2. The private sector partner's contribution to the PPP goes beyond the private sector partner's immediate commercial interests,
3. The public contribution is leveraging private resources that the private entity would not otherwise be contributing.

To count as a PPP, the private entity must spend or contribute something that is additional, or above and beyond what it would normally spend/contribute as a usual cost of doing business. Do not count as a PPP an agreement that involves the private entity simply attending to its day-to-day business needs (e.g., a processor purchasing produce). Do not count as a private sector contribution to a PPP purchase agreements between a firm and project's beneficiaries, investments made by a firm in its own operations, or loans made under a USAID loan guarantee.

A public entity can be the national or a subnational government as well as a donor-funded implementing partner. USAID must be one of the public partners. USAID is almost always represented in the partnership by its implementing partner. For-profit enterprises and NGOs are considered private. It includes state enterprises that are nonprofit. A state-owned enterprise that seeks to make a profit (even if unsuccessfully) is counted as a private entity.

An agricultural activity is any activity related to strengthening the supply of agricultural inputs, application of production methods, agricultural processing, marketing or transportation.

A nutritional activity includes any activity focused on improving the nutritional content of agricultural products as provided to consumers, developing improved nutritional products, increasing support for nutrition service delivery, etc.

PPPs can be long or short in duration (length is not a criterion for measurement). A Mission or an activity may form more than one partnership with the same entity, but this is likely to be rare. Count both Global Development Alliance (GDA) partnerships and non-GDA partnerships.

Count only public-private partnerships formed during the current reporting year. Any partnership that was formed in a previous year should not be included. Do not count the number of transactions, only the number of partnerships formed during the reporting year. Partnerships that include multiple partners should be counted only once.

Unit of Measure:    Number

Disaggregated by:

Partnership focus (refer to the primary focus of the partnership): Agricultural production; Agricultural

post-harvest transformation; Nutrition; Multi-focus (use this if there are several components of the above

sectors in the partnership); Other (do not use this for  multi-focus partnerships)

Rationale or Management Utility (optional): Feed the Future (FTF) pursues PPPs to leverage additional resources toward our public good goals. The assumption of this indicator is that, if more partnerships are formed, it is likely that there will be more investment in agriculture or nutrition-related activities. This will help achieve FTF results framework IR 3 which then contributes to the key objective of agriculture sector growth.

PLAN FOR DATA COLLECTION BY USAID

Data Source: Implementing partner records

Method of Data Acquisition: Observation and records of partnerships created

Frequency and Timing of Data Acquisition: Annually

Individual(s) Responsible for Data at USAID:

Individual(s) Responsible for Providing Data to USAID (optional):

Location of Data Storage (optional):

DATA QUALITY ISSUES

Date of Most Recent Data Quality Assessment and Name(s) of Reviewer(s): 

Date of Future Data Quality Assessments (optional):

Actions Taken or Planned to Address Data Limitations (optional):  Periodic field verification/spot checks

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis (optional):

Presentation of Data (optional):  

Initial Review Conducted by (optional): 

Mission/Team Review (optional): 

BASELINE AND TARGETS

Baseline Timeframe (optional): 

Rationale for Targets (optional):

Other Notes (optional):

CHANGES TO PERFORMANCE INDICATOR

Changes to Indicator: 

Other Notes (optional): 

THIS SHEET WAS LAST UPDATED ON: 17/01/2017

USAID/Ghana  Performance Indicator Reference Sheet

CDCS Goal: Ghana's Transition Towards Established Middle Income Status Accelerated

Development Objective: DO 2 – Sustainable and Broadly Shared Economic Growth

Intermediate Result:

1: Improved Agricultural Productivity

Sub-Intermediate Result: IR 1.1: Enhanced Human and Institutional Capacity Development for Increased Sustainable Agriculture Sector Productivity.

Name of Performance Indicator: Number of individuals who have received USG-supported short-term agricultural sector productivity or food security training (RAA) (WOG) EG.3.2-1

Performance Plan and Report Indicator:

Foreign Assistance Framework: EG.3.2-1                  Indicator Type: Output

PERFORMANCE INDICATOR DESCRIPTION

Precise Definition(s): 

This indicator counts the number of individuals to whom significant knowledge or skills have been imparted through interactions that are intentional, structured and purposed for imparting knowledge or skills. The indicator includes farmers, ranchers, fishers and other primary sector producers who receive training in a variety of best practices in productivity, post-harvest management, linking to markets, etc. It also includes rural entrepreneurs, processors, managers and traders receiving training in application of improved technologies, business management, linking to markets, etc. Finally, it includes training to extension specialists, researchers, policymakers and others who are engaged in the food, feed and fiber system and natural resources and water management.

There is no predefined minimum or maximum length of time for the training; what is key is that the training reflects a planned, structured curriculum designed to strengthen capacities, and there is a reasonable expectation that the training recipient will acquire new knowledge or skills that s/he could translate into action. However, Operating Units may choose to align their definition of short-term training with the TrainNet training definition of 2 consecutive class days or more in duration, or 16 hours or more scheduled intermittently.

Count an individual only once, regardless of the number of trainings received during the reporting year and even if the trainings covered different topics. Do not count sensitization meetings or one-off informational trainings.

In-country and off-shore training are included. Training should include food security, water resources management/IWRM, sustainable agriculture, and climate change risk analysis, adaptation, mitigation, and vulnerability assessments as they relate to agriculture resilience, but should not include nutrition-related trainings, which should be reported under indicator HL.9-4 instead.

Delivery mechanisms can include a variety of extension methods as well as technical assistance activities. An example is a USDA Cochran Fellow.

This indicator counts individuals receiving training, for which the outcome, i.e. individuals applying improved practices, might be reported under EG3.1-17.

In FTFMS, partners should enter the number of individuals trained disaggregated first by Type of Individual then by Sex. For example, partners should enter for the total number of Male producers trained and the total number of Female Producers trained. FTFMS will automatically calculate the total number of Producers trained. Partners should then enter the total number of Males in Private Sector Firms trained and the total number of Females in Private Sector Firms trained. FTFMS will automatically calculate the total number of People in Private Sector Firms trained. And so on for the other Type of Individual disaggregate categories. FTFMS will then automatically calculate the total number of individuals who received short-term training by summing across the Type of Individual disaggregate.

Unit of Measure:    Number

Disaggregated by:  

In FTFMS:

Type of individual:

Producers (farmers, fishers, pastoralists, ranchers, etc.)

People in government (e.g. policy makers, extension workers)

People in private sector firms (e.g. processors, service providers, manufacturers)

People in civil society (e.g. NGOs, CBOs, CSOs, research and academic organizations)

Note: While producers are included under MSMEs under indicator EG.3.2-3, only count them under the Producers and not the Private Sector Firms disaggregate to avoid double-counting. While private sector firms are considered part of civil society more broadly, only count them under the Private Sector Firms and not the Civil Society disaggregate to avoid double-counting.

Under each Type of individual; layered disaggregate Sex: Male, Female

In FACTSInfo

Type of Individual:

Producers (farmers, fishers, pastoralists, ranchers, etc.)

People in government (e.g. policy makers, extension workers)

People in private sector firms (e.g. processors, service providers, manufacturers)

People in civil society (e.g. NGOs, CBOs, CSOs, research and academic organizations)

Sex: Male, Female (not layered)

Rationale or Management Utility (optional): Measures enhanced human capacity for improving agriculture productivity, food security, policy formulation and implementation, which is key to transformational development. In the Feed the Future (FTF) results framework, this indicator measures Intermediate Result (IR) 1: Improved Agricultural Productivity and Sub IR 1.1: Enhanced Human and Institutional Capacity Development for Increased Sustainable Agriculture Sector Productivity.

PLAN FOR DATA COLLECTION BY USAID

Data Source: Implementing partner program training records

Method of Data Acquisition: Review of project records

Frequency and Timing of Data Acquisition: Annually

Individual(s) Responsible for Data at USAID:

Individual(s) Responsible for Providing Data to USAID (optional):

Location of Data Storage (optional):

DATA QUALITY ISSUES

Date of Most Recent Data Quality Assessment and Name(s) of Reviewer(s): 

Date of Future Data Quality Assessments (optional):

Known Data Limitations and Significance (optional): 

Actions Taken or Planned to Address Data Limitations (optional): 

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis (optional):

Presentation of Data (optional):  

Initial Review Conducted by (optional): 

Mission/Team Review (optional): 

BASELINE AND TARGETS

Baseline Timeframe (optional): 

Rationale for Targets (optional):

Other Notes (optional):

CHANGES TO PERFORMANCE INDICATOR

Changes to Indicator: 

Other Notes (optional): 

THIS SHEET WAS LAST UPDATED ON: 17/01/2017

USAID/Ghana  Performance Indicator Reference Sheet

CDCS Goal: Ghana's Transition Towards Established Middle Income Status Accelerated

Development Objective: DO 2 – Sustainable and Broadly Shared Economic Growth

Intermediate Result: IR 1. Improved Agricultural Productivity

Sub-Intermediate Result: IR 1.1: Enhanced human and institutional capacity development for increased sustainable agricultural sector productivity

Name of Performance Indicator: Number of individuals who have received USG-supported degree-granting agricultural sector productivity or food security training (RAA) EG.3.2-2

Performance Plan and Report Indicator:

Foreign Assistance Framework: EG.3.2-2                   Indicator Type: Output

PERFORMANCE INDICATOR DESCRIPTION

Precise Definition(s): 

This indicator measures the number of people who are currently enrolled in or have graduated during the reporting year from a degree-granting technical, vocational, associate, bachelor, master, or Ph.D. program. Degree candidates being supported through partial fellowship or exchange programs can be counted toward this indicator.

A person who completed one degree-granting program in the fiscal year and is currently participating in another degree-granting program should be counted only once.

Agricultural productivity includes cultured and natural production (farmers, fishers, ranchers). Include training on climate risk analysis, adaptation, and vulnerability assessments, as it relates to agriculture, but do not include nutrition-related trainings, which should be reported under HL.9-4 instead.

This indicator measures individuals receiving training, for which the outcome (individuals applying new practices), should be reported under EG.3.2-17.

Unit of Measure:    Number

Disaggregated by:  

Sex: Male, Female

Duration:

New = the individual received U.S. Government-supported long-term training for the first time during the reporting year

Continuing = the individual received U.S. Government-supported long-term training in the previous year and continued to receive it in the reporting year

Rationale or Management Utility (optional): Measures enhanced human capacity for policy formulation and implementation which is key to transformational development. In the Feed the Future (FTF) results framework, this indicator falls under Intermediate Result (IR) 1. Improved Agricultural Productivity and Sub IR 1.1: Enhanced human and institutional capacity development for increased sustainable agriculture sector productivity.

PLAN FOR DATA COLLECTION BY USAID

Data Source: Implementing Partners will review program documents to track individuals in long-term training programs.

Method of Data Acquisition:

Frequency and Timing of Data Acquisition: Annually

Individual(s) Responsible for Data at USAID:

Individual(s) Responsible for Providing Data to USAID (optional):

Location of Data Storage (optional):

DATA QUALITY ISSUES

Date of Most Recent Data Quality Assessment and Name(s) of Reviewer(s): 

Date of Future Data Quality Assessments (optional):

Known Data Limitations and Significance (optional): 

Actions Taken or Planned to Address Data Limitations (optional): 

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis (optional):

Presentation of Data (optional):  

Initial Review Conducted by (optional): 

Mission/Team Review (optional): 

BASELINE AND TARGETS

Baseline Timeframe (optional): 

Rationale for Targets (optional):

Other Notes (optional):

CHANGES TO PERFORMANCE INDICATOR

Changes to Indicator: 

Other Notes (optional): 

THIS SHEET WAS LAST UPDATED ON: 17/01/2017

USAID/Ghana  Performance Indicator Reference Sheet

CDCS Goal: Ghana's Transition Towards Established Middle Income Status Accelerated

Development Objective: DO 2 – Sustainable and Broadly Shared Economic Growth

Intermediate Result: IR 2: Expanding Markets and Trade

Sub-Intermediate Result: IR 2.4: Improved access to business development and sound and affordable financial and risk management services

Name of Performance Indicator: Value of agricultural and rural loans as a result of USG assistance (RAA) (WOG) EG.3.2-6

Performance Plan and Report Indicator:

Foreign Assistance Framework: EG.3.2-6                    Indicator Type: Output

PERFORMANCE INDICATOR DESCRIPTION

Precise Definition(s): 

This indicator sums cash loans disbursed during the reporting year to direct beneficiary producers (farmers, fishers, etc.), input suppliers, transporters, processors, and other MSMEs in rural areas that are in a targeted agricultural value chain, as a result of U.S. Government assistance. The indicator counts loans disbursed to the recipient, not loans merely made (e.g. in process, but not yet available to the recipient).

Count only cash loans; do not include in-kind loans.

Count only loans made by financial institutions, and not by informal groups such as village savings and loan groups that are not formally registered as a financial institution. However, the loans can be made by any size financial institution from micro-credit through national commercial bank, and any type of micro-finance institution, such as an NGO.

Unit of Measure:    US Dollars

Disaggregated by:  

Type of loan recipient: Producers; Local traders/assemblers; Wholesalers/processors; Others.

Sex of recipient: Male; Female; Joint; n/a

For producers, the sex of the loan recipient should be used.

For firms, if the enterprise is a single proprietorship, the sex of the proprietor should be used for classification. For larger enterprises, the majority ownership should be used. When this   cannot be ascertained, the majority of the senior management should be used. If this cannot be ascertained, use n/a (not available)

Rationale or Management Utility (optional): Making more financial loans shows that there is improved access to business development and financial services. This in turn will help to expand markets and trade (and also contributes to Intermediate Result [IR] 1 Expanding Agricultural Productivity) and to achieve the key objective of inclusive agriculture sector growth (with agriculture sector being defined broader than just crop production). In turn, this contributes to both goals of reducing poverty and hunger. In the Feed the Future (FTF) results framework, this indicator contributes to Intermediate Result (IR) 2: Expanding Markets and Trade and Sub-IR 2.4: Improved access to business development and sound and affordable financial and risk management services.

PLAN FOR DATA COLLECTION BY USAID

Data Source: Implementing partners through bank/lending institution records or survey of targeted beneficiaries

Method of Data Acquisition: Review of project records

Frequency and Timing of Data Acquisition: Annually

Individual(s) Responsible for Data at USAID:

Individual(s) Responsible for Providing Data to USAID (optional):

Location of Data Storage (optional):

DATA QUALITY ISSUES

Date of Most Recent Data Quality Assessment and Name(s) of Reviewer(s): 

Date of Future Data Quality Assessments (optional):

Known Data Limitations and Significance (optional): 

Actions Taken or Planned to Address Data Limitations (optional): 

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis (optional):

Presentation of Data (optional):  

Initial Review Conducted by (optional): 

Mission/Team Review (optional): 

BASELINE AND TARGETS

Baseline Timeframe (optional): 

Rationale for Targets (optional):

Other Notes (optional):

CHANGES TO PERFORMANCE INDICATOR

Changes to Indicator: 

Other Notes (optional): 

THIS SHEET WAS LAST UPDATED ON: 17/01/2017

USAID/Ghana  Performance Indicator Reference Sheet

CDCS Goal: Ghana's Transition Towards Established Middle Income Status Accelerated

Development Objective: DO 2 – Sustainable and Broadly Shared Economic Growth

Intermediate Result: IR 2: Expanding Markets and Trade

Sub-Intermediate Result: IR 2.4: Improved access to business development and sound and affordable financial and risk management services.

Name of Performance Indicator: Number of micro, small, and medium enterprises (MSMEs), including farmers, receiving agricultural-related credit as a result of USG assistance (RAA) EG.3.2-3

Performance Plan and Report Indicator:

Foreign Assistance Framework: EG.3.2-3      Indicator Type: Output

PERFORMANCE INDICATOR DESCRIPTION

Precise Definition(s): 

This indicator counts the total number of micro (1-10 employees), small (11-50 employees), and medium (51-100 employees) enterprises (MSMEs) that have received U.S. Government assistance that resulted in a loan during the reporting year.

The loan can be from a formal or informal financial institution, including a micro-finance institution (MFI), commercial bank, or informal lender, or from an in-kind lender of equipment (e.g. tractor, plow), agricultural inputs (e.g., fertilizer or seeds), or transport, with repayment in cash or in kind. U.S. Government assistance may include partial loan guarantee programs or any support facilitating the receipt of a loan.

Number of employees refers to full time-equivalent workers during the reporting year. MSMEs include producers (farmers). Producers should be classified as micro, small or medium-enterprise based on the number of FTE workers hired (permanent and/or seasonal) during the previous 12 months. If a producer does not hire any permanent or seasonal labor, s/he should be considered a micro-enterprise.

The indicator does not measure the value of the loans, but the number of MSMEs that received U.S. Government assistance and accessed loans. Only count the MSME once per reporting year, even if multiple loans are accessed

Unit of Measure:    Number

Disaggregated by:  

Size: Micro (1-10 employees), Small (11-50 employees), Medium (51-100 employees)

Sex of owner/producer: Male, Female, Joint, n/a If the enterprise is a single proprietorship, the sex of the proprietor should be used for classification. For larger enterprises, the majority ownership should be used. When this cannot be ascertained, the majority of the senior management should be used. If this cannot be ascertained, use n/a (not available)

Rationale or Management Utility (optional): The lack of access to financial capital is frequently cited as a major impediment to the development of MSMEs, thus helping MSMEs access loans is likely to increase investment and the value of output (production in the case of farmers, value added for agricultural processing). This will directly contribute to the expansion of markets, increased agricultural productivity, and the reduction of poverty. In the Feed the Future (FTF) results framework, this indicator measures progress relating to Intermediate Result (IR) 2: Expanding Markets and Trade and Sub-IR 2.4: Improved access to business development and sound and affordable financial and risk management services.

PLAN FOR DATA COLLECTION BY USAID

Data Source: Implementing partner activity records, MSME financial records, etc.

Method of Data Acquisition: Review of project records

Frequency and Timing of Data Acquisition: Annually

Individual(s) Responsible for Data at USAID:

Individual(s) Responsible for Providing Data to USAID (optional):

Location of Data Storage (optional):

DATA QUALITY ISSUES

Date of Most Recent Data Quality Assessment and Name(s) of Reviewer(s): 

Date of Future Data Quality Assessments (optional):

Known Data Limitations and Significance (optional): 

Actions Taken or Planned to Address Data Limitations (optional): 

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis (optional):

Presentation of Data (optional):  

Initial Review Conducted by (optional): 

Mission/Team Review (optional): 

BASELINE AND TARGETS

Baseline Timeframe (optional): 

Rationale for Targets (optional):

Other Notes (optional):

CHANGES TO PERFORMANCE INDICATOR

Changes to Indicator: 

Other Notes (optional): 

THIS SHEET WAS LAST UPDATED ON: 17/01/2017