Results and Indicators
| Result | Indicator(s) |
| Impact: To foster inclusive growth (PEOPLE, PROSPERITY) |
Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) (SDG 1.1.1)
(Percentage)
Data Source:
From the World Bank UN Population data
Additional Information:
This indicator is related to SDG 1.1.1 Method of Calculation: Taking the latest available proportion of people living below $1.90 a day for each country in which the EU has external action programmes from the EU programme database; Multiplying this number by the population for the country in that same year. Adding the above numbers for all the countries in which the EU has external action programmes together. This will give the first element of the proportion of people living below $1.90 a day Adding together the population of all the countries in which the EU has external action programmes. This will give the second element for a weighted proportion of people living below $1.90 a day Dividing the first element by the second element. This will give the weighted proportion of the population living below the $1.90 a day. |
Unemployment rate, by sex, age and persons with disabilities (in rural areas) (SDG 8.5.2)
(Percentage)
Data Source:
From International Labour Organization (ILO)
ILO statistical database: ILOSTAT
ILO Key Indicators for the Labour Market (KILM)
Additional Information:
This indicator is related to SDG 8.5.2
Indicator Definition:
Persons in unemployment are defined as all those of working age (usually persons aged 15 and above) who were not in employment, carried out activities to seek employment during a specified recent period and were currently available to take up employment given a job opportunity. To favour international comparability, the working-age population is often defined as all persons aged 15 and older, but this may vary from country to country based on national laws and practices (some countries also apply an upper age limit). (Source: ILO)
Method of Computation:
The unemployment rate is calculated by dividing the total number of unemployed (for a country or a specific group of workers) by the corresponding labour force, which itself is the sum of the total persons employed and unemployed in the country or group.
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Proportion of youth (aged 15-24 years) not in education, employment or training, disaggregated by sex, location (urban/rural), age group and ethnicity (SDG 8.6.1)
(Percentage)
Data Source:
From ILO: Child Labour Statistics
From UNICEF
Additional Information:
Indicator Definition:
The proportion of youth (aged 15-24 years) not in education, employment or training, also known as "the NEET rate", conveys the number of young persons not in education, employment or training as a percentage of the total youth population. NEET provides a measure of youth who are outside the educational system, not in training and not in employment, and thus serves as a broader measure of potential youth labour market entrants than youth unemployment. A high NEET rate as compared with the youth unemployment rate could mean that a large number of youth are discouraged workers or do not have access to education or training. A high NEET rate among females as compared with males is often an indication of gender imbalances, with female youth engaged in household chores such as washing clothes, cooking, cleaning and taking care of siblings.
Method of Computation:
NEET (%) = { Number of youth- (Number of youth in employment + Number of youth not in employment who are in education or training) / Total number of Youth} × 100
The above formulation is particularly straightforward for data users, and it indicates that youth that are both in employment and education/training simultaneously should not be double counted when subtracted from the total number of youthÂ
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Proportion and number of children (aged 5-17 years) engaged in child labour, by sex, location (urban/rural), age group and ethnicity (SDG 8.7.1)
(Percentage)
Data Source:
From ILO
From UNICEF
Additional Information:
This indicator is related to SDG 8.7.1
Indicator Definition:
From Unicef: Proportion (and number) of children aged 5-17 years engaged in child labour is the number of children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population. UNICEF’s standard indicator definition for child labour includes the following:
Age 5 to 11 years: At least 1 hour of economic work or 28 hours of unpaid household services per week.
Age 12 to 14 years: At least 14 hours of economic work or 28 hours of unpaid household services per week.
Age 15 to 17 years: At least 43 hours of economic or unpaid household services per week.
From ILO: The term child labour reflects the engagement of children in prohibited work and, more generally, in types of work to be eliminated as socially and morally undesirable as guided by national legislation, the ILO Minimum Age Convention, 1973 (No. 138), and the Worst Forms of Child Labour Convention, 1999 (No. 182), their respective supplementing Recommendations (Nos 146 and 190), and the United Nations Convention on the Rights of the Child. The statistical measurement framework for child labour is structured around (i) the age of the child; (ii) the productive activities of the child, including their nature and the conditions under which these are performed, and the duration of engagement by the child in such activities. For the purpose of statistical measurement, children engaged in child labour include all persons aged 5 to 17 years who, during a specified time period, were engaged in one or more of the following categories of activities:
worst forms of child labour, (as described in paragraphs 17–30, 18th ICLS resolution);
employment below the minimum age, (as described in paragraphs 32 and 33 of the 18th ICLS resolution); and
hazardous unpaid household services, (as described in paragraphs 36 and 37 of the 18th ICLS resolution), applicable where the general production boundary is used as the measurement framework.
Method of Computation: Child Labour rate (%) = { Number of children in child labour aged 5 to 17 / Total number of children aged 5 to 17} x 100
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Average annual household income, disaggregated by location (rural/urban), ethnicity when appropriate
(Numeric)
Data Source:
OECD (2018), Household disposable income (indicator)
Additional Information:
Indicator Definition:
Household income is a measure of the combined incomes of all people sharing a particular household or place of residence.  Household Disposable Income is calculated through the aggregation of five income components:
E: employee income;
KI: capital and property income;
SEI: income from self-employment;
TRR: current transfers received, including transfers from social security;
TRP: current transfers paid, including direct taxes on income and wealth, social security contributions paid by households.
Method of computation:
(Wages and salaries + mixed income + net property income + net current transfers and social benefits other than social transfers in kind) - (taxes on income and wealth and social security contributions paid by employees, the self-employed and the unemployed)
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Average hourly earnings of female and male employees, by occupation, age and persons with disabilities (SDG 8.5.1)
(Numeric)
Data Source:
Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.),
Establishment surveys
Administrative records
ILO Decent work Indicators
Additional Information:
The gender wage gap measures the relative difference between the average hourly earnings for men and the average hourly earnings for women. It is computed as the difference between the gross average hourly earnings of male and female employees expressed as percentage of gross average hourly earnings of male employees. Earnings refers to regular remuneration received from employers, in cash and in kind, and includes direct wages and salaries for time worked or work done, remuneration for time not worked (e.g. paid annual leave), as well as bonuses and gratuities that are regularly received. It excludes contributions paid by employers to social security and pension schemes in respect of their employees, benefits received by employees under these schemes, and severance and termination pay. Method of Computation: Average Hourly Earnings = Total earnings for paid employees in occupation/ Total hours worked by paid employees in occupation |
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Share of food expenditure as percentage of total household expenditure
(Percentage)
Data Source:
FAO Statistics Household Survey
Database: International Labour Organization (ILO) and country publications
Additional Information:
Indicator Definition:
Food consumption expenditure refers to the monetary value of acquired food, purchased and non purchased, including non-alcoholic and alcoholic beverages as well as food expenses on away from home consumption in bars, restaurants, food courts, work canteens, street vendors, etc. Total consumption expenditure refers to the monetary value of acquired goods for consumption, food and non-food items, consumed by members of the household. (Excludes non-consumption expenses such as direct taxes, subscriptions, insurance premiums, etc.)
Method of Computation:
{(Food expenditure /Total amount of HH expenditure} x 100
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Women’s Empowerment in Agriculture Index (WEAI) (OPSYS core indicator)
Additional Information:
Indicator Definition: The Women’s Empowerment in Agriculture Index (WEAI) measures the empowerment, agency, and inclusion of women in the agriculture sector in five domains:
It also measures women’s empowerment relative to men within their households. It is an aggregate index comprised of two sub-indexes; The five domains of empowerment - Production, Resources, Income, Leadership and Time (5DE) and Gender Parity Index (GPI) ,based on both sub-indexes, the WEAI is thus an aggregate index that shows the degree to which women are empowered in their households and communities and the degree of inequality between women and men within the household. Method of Computation: The total WEAI score is computed as a weighted sum of the country- or regional-level 5DE and the GPI. For more information please follow link: http://www.oired.vt.edu/wgd/USAIDFeedTheFutureWomen%27sEmpowermentInAgricultureIndex.pdf |
| Result | Indicator(s) |
| Impact: To contribute to sustainable agriculture (PLANET) |
Proportion of agricultural area under productive and sustainable agriculture (SDG 2.4.1)
(Percentage)
Data Source:
From FAO:
Land use data from FAO
Sustainable agriculture
Global Strategy to Improve Agricultural and Rural Statistics
Additional Information:
This indicator is related to SDG 2.4.1
Indicator Definition:
The indicator refers to the percentage/proportion of land under productive and sustainable agriculture. Sustainability needs to be considered in terms of its social, environmental and economic dimensions. The indicator has been operationalized in order to capture its multidimensional nature.
The main points on which the indicator is based are as follows:
Maintain the natural resource base in order to ensure sufficient productivity for the foreseeable future
Ensure the generation of a level of income which is sufficient to keep the livelihood of the entire family steadily above the poverty line, and in accordance with the development objectives of the country.
Provide access to safety nets, ensure flexibility in front of market and natural shocks and ensure clear ownership and tenure rights, with no discrimination on gender basis.
Method of Computation:
{ Area under productive and sustainable agriculture/(divided by ) Agricultural areas} x 100. Where "Agricultural area" = Arable land + Permanent crops+ Permanent meadows and pastures
The denominator, agricultural area, is a well-known and established indicator that is collected by statistical bodies in countries and compiled internationally via a questionnaire by FAO. Â
The numerator captures the three dimensions of sustainable production: environmental, economic and social. The measurement instrument – farm surveys – will give countries the flexibility to identify issues related to sustainability that are most relevant to priorities/challenges within these three dimensions.
Land under productive and sustainable agriculture will be those farms that satisfy indicators selected across all three dimensions.
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GERF 1.1/ SDG 2.3.2 Average income of small-scale food producers, by sex and indigenous status (OPSYS core indicator)
Data Source:
Additional Information:
This indicator is related to SDG 2.3.2 Indicator Definition: |
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Global food loss index (SDG 12.3.1)
(Numeric)
Data Source:
From FAO:Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
Technical Platform on the Measurement and Reduction of Food Loss and Waste
FAOSTAT
Additional Information:
This indicator is related to SDG 12.3.1
Indicator Definition:
The indicator measures the totality of losses occurring from the time at which production of an agricultural product is recorded until it reaches the final consumer as food (farm to fork). While calculated on a quantity basis, it is subsequently transformed to dietary energy supplies (in kcal) per capita allowing consistent aggregation and then indexed. The indicator will be calculated on an annual frequency broken down by country and commodity.
Method of Computation:
The Global Food Loss Index (GFLI) is calculated on a volume basis by commodity, by country, on an annual basis.
For each country (j) the loss index is calculated with the Laspeyres formula:
Where:Â
pi0= 2004 -2006 average international price ($) for the commodity i
qit= loss quantity (tons) for commodity i at time t
qio= loss quantity (tons) for commodity iat the base period (2005)
Change in food losses for country j over time:
j = [ (FLIj, 2014 /FLIj, 2013 x 100 ]–100
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| Result | Indicator(s) |
| Impact: To improve the population’s nutritional status (PEOPLE) |
GERF 1.25/ SDG 2.2.1/EURF 1.3 Prevalence of stunting (height for age
(Percentage)
Data Source:
  http://www.who.int/nutgrowthdb/estimates2012/en/ (WHO-UNICEF-World Bank)
SDG Reporting on indicator 2.2.1:Â http://unstats.un.org/sdgs/indicators/database/
UNICEF - MICS5 http://mics.unicef.org/
Additional Information:
This indicator is related to SDG 2.2.1
Indicator Definition:
The indicator should be read as "Percentage of children aged 0 to 59 months who are stunted", i.e. the number of children aged 0 to 59 months who are stunted, divided by the overall number of children between 0 and 59 months.
Two "degrees" of stunting apply:
Severely stunted: Number of children whose height for age z-score is less than -3.0 standard deviations (SD) below the median of the WHO 2006 Child Growth Standards.
Moderately stunted: Number of children whose height for age z-score is less than -2.0 but still greater or equal to -3.0 standard deviations (SD) below the median of the WHO 2006 Child Growth Standards.
The WHO 2006 Child Growth Standards were developed using data collected in the WHO Multicentre Growth Reference Study (MGRS), which was undertaken between 1997 and 2003 to generate growth curves for assessing the growth and development of infants and young children around the world. The MGRS collected primary growth data and related information from approximately 8500 children from widely different ethnic backgrounds and cultural settings (Brazil, Ghana, India, Norway, Oman and the USA). (http://www.who.int/childgrowth/mgrs/en/). For children under 24 months the standard is based on children whose height was taken while prone (horizontal). For children 24 months and older height was measured while they were standing. For children 24 months of age or over, whose height was measured while lying down, though not recommended, 0.8 centimetre should be subtracted from their measured height before calculating the z-scores.
Method of Computation:
taking the latest available stunting prevalence (%) for each country where the EU has external action programmes from the WHO, Unicef and World Bank database;
multiplying this number (a) by the number of children aged 0 to 59 months in that same year for each country. This data (based on ESA statistics) is also included in the WHO, Unicef, World Bank database.
adding the above numbers (b) for all the countries in which we operate together. This will give the first element for a weighted average of prevalence of stunting.
adding together the children aged 0 to 59 months populations of all the countries we work in. This will give the second element for a weighted average of prevalence of stunting.
dividing the first element (c) by the second element (d). This will give the weighted average prevalence of stunting for children aged 0 to 59 months.
Worked Examples:Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
Afghanistan: Proportion of children aged below five years who are stunted = 59.4% - 2004 (latest available data)
Bangladesh:Â Proportion of children aged below five years who are stunted = 41.4% - 2011 (latest available data)
2004 Proportion of children aged below five years Afghanistan = 4,780,161
2011 Proportion of children aged below five years Bangladesh = 15,223,979
Weighted average of children aged below five years who are stunted for Afghanistan and Bangladesh:
(0.594*4,780,161 + 0.414*15,223,979) / (4,780,161+ 15,223,979) = 45.7%
Level of disaggregation: Sex
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SDG 2.2.2 Prevalence of malnutrition among children under 5 years of age (OPSYS core indicator)
Additional Information:
This indicator is related to SDG 2.2.2 Indicator Definition: Malnutrition refers to deficiencies, excesses, or imbalances in a person’s intake of energy and/or nutrients. The term "malnutrition" addresses 3 broad groups of conditions: undernutrition, which includes wasting (low weight-for-height), stunting (low height-for-age) and underweight (low weight-for-age); micronutrient-related malnutrition, which includes micronutrient deficiencies (a lack of important vitamins and minerals) or micronutrient excess; and overweight, obesity and diet-related noncommunicable diseases (such as heart disease, stroke, diabetes and some cancers). The prevalence of these forms of malnutrition is calculated by measuring the presence of malnutrition in a sample of the population selected randomly, then dividing the number of people with that particular form of malnutrition by the number of people in whom it was measured. |
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Prevalence of malnutrition among women of reproductive age and adolescent girls
(Percentage)
Data Source:
WHS: World Health Statistics
Additional Information:
Indicator Definition:
Adequate nutrition is especially critical for:
women, because inadequate nutrition has an impact not only on women's health but also on the health of their children;
adolescent girls because they are growing faster than at any time after their first year of life, and bodies of the still-growing adolescent mother and her baby may compete for nutrients, raising the infant's risk of low birth weight (defined as a birth weight of less than 2,500 grams) and early death.
The term "malnutrition" addresses 3 broad groups of conditions: undernutrition, which includes wasting (low weight-for-height), stunting (low height-for-age) and underweight (low weight-for-age); micronutrient-related malnutrition, which includes micronutrient deficiencies (a lack of important vitamins and minerals) or micronutrient excess; and overweight, obesity and diet-related noncommunicable diseases (such as heart disease, stroke, diabetes and some cancers).          Â
Method of Computation:Â
The prevalence of these forms of malnutrition is calculated by measuring the presence of malnutrition in a sample of the population selected randomly, then dividing the number of people with that particular form of malnutrition by the number of people in whom it was measured.Â
Level of disaggregation: Age, Location, Ethnicity when appropriate
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Prevalence of anaemia among women of reproductive age and adolescent girls, disaggregated by age, reproductive status (pregnant, lactating, and non-pregnant, non-lactating), trimester of pregnancy, level of severity of anaemia, and where available, b
(Percentage)
Data Source:
WHO Vitamin and Mineral Information system (VMNIS)
World Bank
Additional Information:
Indicator Definition:
Prevalence of anaemia among women of reproductive age refers to the combined prevalence of both non-pregnant women with haemoglobin levels below 12 grams per decilitre of blood (g/dL) and pregnant women with haemoglobin levels below 11 g/dL who are considered anaemic (WHO, 2001; WHO, 2006). WHO (2000) has defined anaemia as mild, moderate, or severe based on the following cut-off values (g/dl) for hemoglobin levels for non pregnant women: Mild=11-11.9, Moderate=8.0-10.9, Severe=
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Prevalence of micronutrient deficiencies among women of reproductive age and adolescent girls, disaggregated by type of micronutrient
(Percentage)
Data Source:
WHO- Vitamin and Mineral Nutrition Information System (VMNIS)Â
Additional Information:
Indicator Definition:
The percentage of women aged 15 to 49 with inadequate levels of micronutrients such as iron, vitamin B12, folate, iodine and vitamin A. Recommended Dietary Allowances (RDAs) for Iron Women 14-18 years 15mg, 27mg during pregnancy, 10 mg during lactation. Women aged 19-50 years is 18mg, 27 mg during pregnancy, 9 mg during lactation. Recommended Dietary Allowances (RDAs) for Vitamin B12 for Women above 14 years is 2.4 micrograms, 2.6 micrograms during pregnancy, 2.8 micrograms during lactation. Recommended Dietary Allowances (RDA)s for vitamin A are given as mcg of retinol activity equivalents (RAE). RDA for Vitamin A in women 14-18 years is 700 microgram RAE, during pregnancy is 750 mcg RAE, during lactation is 1,200 mcg RAE. For women between 19-50 years, it is 700 mcg RAE, 770 mcg RAE during pregnancy, 1,300 mcg RAE during lactation.
Method of Computation:
(Number of women aged 15 to 49 with inadequate micronutrients / Total number of women aged 15 to 49 screened for micronutrient deficiencies during a specified period) x 100
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| Result | Indicator(s) |
| Impact: To increase (systemic) resilience to food crises and climate change (PEOPLE, PEACE) |
Number of months of self-reported food insecurity (food gap)
(Numeric)
Data Source:
Project-commissioned survey
Additional Information:
Indicator Definition:
Number of months the target HHs report that they do not have sufficient amounts of food to feed the family.
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SDG 2.1.2/EURF 1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) (OPSYS core indicator)
Data Source:
Gallup World Poll (GWP). Since 2014, the 8-item FIES survey module has been applied in nationally representative samples of the adult population (defined as aged 15 or older) in over 140 countries, an annual survey covering 90% of the world population. Voices of the Hungry
Additional Information:
Indicator Definition: This indicator measures the percentage of individuals in the population who have experienced food insecurity at moderate or severe levels during the reference period. The severity of food insecurity, defined as a latent trait, is measured on the Food Insecurity Experience Scale global reference scale, a measurement standard established by FAO through the application of the Food Insecurity Experience Scale in more than 140 countries worldwide, starting in 2014. Method of Computation: A raw score (an integer number with a value between zero and eight), is obtained as the sum of affirmative responses given to the eight FIES questions. For data that pass the validation tests, the raw score in itself is already an ordinal measure of severity, with lower raw scores corresponding to less severe food insecurity. The prevalence of food insecurity in the population is given by the weighted sum of the raw score-specific probabilities. The weighted proportions of cases with each raw score in the population are used as weights. |
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Numbers of persons emigrating, where possible disaggregated by cause of displacement (by sex and age)
(Numeric)
Data Source:
Internal Displacement Monitoring Centre (iDMC) database
Additional Information:
Indicator Definition:
Number of individuals leaving their country due to lack of adequate food supply (Food Crises)
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Average Coping Strategies Index (CSI) score, disaggregated by location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members), sex, age and education of the household h
(Numeric)
Data Source:
https://www.wfp.org/content/coping-strategies-index-field-methods-manual-2nd-edition
Additional Information:
Indicator Definition:
The Coping Strategy Index (CSI), a tool developed by the World Food Programme, is commonly used as a proxy indicator for access to food. It is a weighted score that allows measurement of the frequency and severity of coping strategies. It is based on a series of questions about how households manage to cope with a shortfall in food for consumption, and the result is expressed as a simple numeric score. The higher the CSI, the more food insecure a household is, as a household is using coping strategies more frequently and/or more severe ones.
Method of Computation:
The CSI of a household is calculated by multiplying the frequency of coping strategies used in the last thirty days with their respective severity weights. The sum of the scores is then used to determine the CSI. Data is collected on the number of days in the last thirty days a household used a specific coping strategy due to a shortage of food and/or income. A thirty day recall period is used to make the CSI as precise as possible.
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| Result | Indicator(s) |
| Specific Objective - Outcome: Enhanced rural diversification |
Number of Households (HHs) reporting new income sources, disaggregated by source
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Number of households that are reporting at least one additional source of income from the time of the baseline survey . Source of income refers to origin of benefits or gains, in this context it refers to origin or source of money.
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GERF 2.13a Number of (a) jobs (b) green jobs supported/sustained by the EU (OPSYS core indicator)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicator is connected with SDG target 8.5 By 2030, achieve full and productive employment and decent work for all women and men, including for young. Several actions (project, programmes) aim at providing sources of employment and income. This indicator identifies employment opportunities directly created by an action. |
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Number of new businesses/start-ups created
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicator, by focussing on the number of new businesses/start-ups created by the action, aims at assessing the creation of income opportunities through self-employment (rather than employment by a third party).Â
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| Result | Indicator(s) |
| Specific Objective - Outcome: More inclusive value chains |
Additional added value created
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Value added defines the amount by which the value of a product is increased at each stage of its production, exclusive of initial costs. Value-added in agriculture is increasing the economic value of an agricultural commodity through changes in genetics, processing or diversification. As a result of the change in physical state or the manner in which the agricultural commodity or product is produced and segregated, the customer base for the commodity or product is expanded and a greater portion of revenue derived from the marketing, processing or physical segregation is made available to the producer of the commodity or product. This indicator measures the economic value difference of the main products impacted by the project after value addition
Method of Computation: Value Added = Price that the product or service is sold at - cost of producing the product
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Proportion of added value going to smallholder farmers, disaggregated by agricultural product
(Percentage)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicator measures the percentage value added going to smallholder farmers.Â
Method of Computation:  Proportion of Value Added = {Price that the product or service is sold at - cost of producing the product} x 100
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased use of land, infrastructure, services and markets |
Number of women and men who have secure tenure of land with EU support **(2-8)
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Land tenure is governed by a large scope of rights, from non-recognised occupation to formal, legally registered titles, in a continuum of rights that should be fully recognized. Formal titles are generally more accessible to industrial farms, whereas less than 5 % of farmers in developing countries benefit from formal titles. Systematic titling is a long and costly process that is not always indispensable to ensure a secure land tenure. Secure land tenure covers: formal titling, certificates or registration, customary tenure secured by an appropriate legal framework that ensures that customary rights cannot be negated and the farmers cannot be arbitrarily dispossessed of their land. They can be secured by a variety of approaches, from legal to local actions.
Method of Computation: Number of people (individual, male and female counted separately) having secured tenure of land on a yearly basis thanks to EU supported initiatives. Only where possible, along with the calculation of number of persons, the corresponding area (in hectares) could also be identified and tracked.
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SDG 1.4.2 Proportion of total adult population with secure tenure rights to land, (a) with legally recognized documentation, and (b) who perceive their rights to land as secure, by sex and type of tenure (OPSYS core indicator)
Data Source:
1) National Statistical Agencies- Surveys and Administrative records 2)World Bank, International Household Survey Network - Household surveys 3)World Bank’s ‘Doing Business; survey- Administrative data 4) UN-Habitat- Urban Indicator Database
Additional Information:
Indicator Definition: This indicator measures the share of the adult population among the total population who have secure tenure rights to land, with legally recognized documents; and perceive their tenure rights to be secure. Total adult population: Adult population, overall, and by administrative divisions, is measured by census data. An important implication is that, as the indicator refers to a country’s adult population, surveys that cover only part of a country or that are conducted without a proper frame so that survey weights to permit derivation of indicators for the entire population are not available, will have limited value as data sources for the indicator even though reference to them may have to be made in some instances if more robust data are not available. Secure tenure rights: Secure tenure rights are use or ownership rights to land that are legally recognized, even if a formal document is not issued, customary rights being the most prominent example. This does not require ownership (i.e. long term leases or short term ones that are routinely renewed as well as group rights also qualify). Security implies that an individual cannot be deprived of his or her land rights involuntarily. This normally requires that duration, subject, and object of rights are clearly defined. For the latter, physical markers or a map or sketch (not necessarily a high precision survey) that shows the parcel’s position relative to others is normally needed. Legally recognized documentation: The most common type of such documentation are ownership documents (titles or deeds) issued by a government institution. Other types of documents (tax receipts, utility bills, private contracts confer legal recognition in the sense that they can be used as evidence of rights in a court of law. This implies that a continuum of documentary evidence needs to be recognized. For purposes of constructing the indicator, reference will be made to formal and informal documents -the former to be obtained from administrative records and the latter from household surveys that are cross-checked with formal records. Perceived security of tenure: perceptions of tenure are deemed to be secure if an individual or household does not feel a threat of being deprived of legitimately acquired use or ownership rights to land or of these rights being disputed by others (either the Government or individuals). Perceived security is important in settings where formal documentation does not exist or where, largely due to gaps in institutional quality or the transparency with which land records are administered, formal documents may not increase tenure security. It is thus an important complement to the above indicator with recognition that methodological study of the extent to which perceptions can be captured will be desirable. |
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Number (%) of smallholders practicing irrigated agricultural production
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Farmers benefit from irrigation directly through increased and more stable incomes and the higher value of irrigated land; communities benefit through better wages, lower food prices, a more varied diet and the health benefits of greater water availability.
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Quantity of smallholders' produce stored in appropriate facilities
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Investment in processing, storage and cold chain facilities will enable farmers to capture more value from their production, and to reduce the high rate of losses in the food chain, namely by reducing losses post-harvest.
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Proportion of adults (aged 15 years and older) with an account at a bank or other financial institution or with a mobile money-service provider, disaggregated by sex, age, location and ethnicity when relevant *(8.10.2)
(Percentage)
Data Source:
World Bank. Global Findex. http://www.worldbank.org/en
/programs/globalfindex
Additional Information:
Indicator Definition: This indicator denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution; having a debit card in their own name; receiving wages, government transfers, or payments for agricultural products into an account or through a mobile phone at a financial institution in the past 12 months; paying utility bills or school fees from an account at a financial institution in the past 12 months; receiving wages or government transfers into a card in the past 12 months; or personally using a mobile phone to pay bills or to send or receive money through a GSM Association (GSMA) Mobile Money for the Unbanked (MMU) service in the past 12 months (% age 15+)
Method of computation: { Number of respondents ( 15 years and older) with an account at a bank or a financial institution/ the total number of respondents}Â x 100.
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Percentage of adults with at least one loan outstanding from a bank or other formal or informal financial institution, disaggregated by type of financial institution, sex, age, location and ethnicity when relevant
(Percentage)
Data Source:
1) Project-commissioned study,
2) World Bank. Global Findex. http://www.worldbank.org/en
/programs/globalfindex
Additional Information:
Indicator Definition: Drawn from WB Global FINDEX indicators, this indicator measures the increased access of smallholders, rural inhabitants, young people, women, in particular in developing countries, to financial services, including affordable credit, as part of the process of their integration into value chains and markets.
Method of computation: { Number of respondents ( 15 years and older) with at least one loan at a bank or a financial institution, formal or informal/ the total number of respondents}Â x 100.
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Number (%) of individuals with digital literacy in rural areas (disaggregated by sex)
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Digital literacy is the set of competencies required for full participation in a knowledge society. It includes knowledge, skills, and behaviors involving the effective use of digital devices such as smartphones, tablets, laptops and desktop PCs for purposes of communication, expression, collaboration and advocacy. This indicator measures the percentage of men and women who have digital literacy in a rural area. 'Rural areas' are all areas outside urban clusters. 'Urban clusters' are clusters of contiguous¹ grid cells of 1 km² with a density of at least 300 inhabitants per km² and a minimum population of 5 000.
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Volume of sales of smallholders' produce
(Numeric)
Data Source:
1) FAO- Agricultural and Rural Integrated Surveys (AGRIS) : http://agris.fao.org/agris-search/index.do                             …;
2) Individual Country Agricultural Integrated Surveys report                                                          Â
3)FAOSTAT: http://www.fao.org/faostat/en/#home
Additional Information:
Indicator Definition: Quantity or amount of agricultural produce sold where agriculture produce refers to both crop and animal produce.
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Value of sales of smallholders' produce, disaggregated by type of animal or crop produce (meat, eggs, cereals)
(Numeric)
Data Source:
1) Individual Country Agricultural Integrated Surveys report                                                         Â
2)FAOSTAT: http://www.fao.org/faostat/en/#home
Additional Information:
Indicator Definition: This indicator measures the improved access by smallholders to markets. Whereas the volume of sales is affected only by the quantity of produce marketed, this indicator responds also to changes in prices, and therefore depends also on the characteristics of the value chain.
Method of Computation: Value of sales of agricultural produce = Volume of produce (by type of crop/type of animal produce) multiplied by unit price in Euros/ USD.
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased sustainable production and productivity of agriculture, husbandry and fisheries |
GERF 2.2/ EURF 2.4 Areas of agricultural and pastoral ecosystems where sustainable management practices have been introduced with EU support (ha) (OPSYS core indicator)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: The indicator refers to the total number of hectares where, with support from the EU, farmers have adopted sustainable land management practices aimed at reverting soil erosion, enhancing fertility, increasing biodiversity, improving water management or reducing chemical inputs |
Number (and %) of smallholders practising sustainable agriculture (e.g. conservation agriculture, Climate Smart Agriculture (CSA) approaches, etc.)
(Numeric)
Data Source:
World Overview of Conservation Approaches and Techniques (WOCAT) by FAO: https://www.wocat.net/en/knowledge-base.html
Additional Information:
Indicator Definition: Climate-Smart Agriculture (CSA) is an approach that helps to guide actions needed to transform and reorient agricultural systems to effectively support development and ensure food security in a changing climate. CSA is not a set of practices that can be universally applied, but rather an approach that involves different elements embedded in local contexts. CSA relates to actions both on-farm and beyond the farm, and incorporates technologies, policies, institutions and investment. Different elements of climate-smart agricultural systems include:Â Management of farms, crops, livestock, aquaculture and capture fisheries to balance near-term food security and livelihoods needs with priorities for adaptation and mitigation. Ecosystem and landscape management to conserve ecosystem services that are important for food security, agricultural development, adaptation and mitigation. Services for farmers and land managers to enable better management of climate risks/impacts and mitigation actions. Changes in the wider food system including demand-side measures and value chain interventions that enhance the benefits of CSA. (Source : FAO). According to FAO , Conservation Agriculture (CA) is an approach to managing agro-ecosystems for improved and sustained productivity, increased profits and food security while preserving and enhancing the resource base and the environment. CA is characterized by three linked principles, namely:
1)Continuous minimum mechanical soil disturbance.
2) Permanent organic soil cover                     Â
3) Diversification of crop species grown in sequences and/or associations. This indicator measures the number and proportion of small scale farmers practicing different forms of sustainable agriculture.
Method of Computation:{Number of small scale farmers adopting CSA / Total number of small scale farmers} x 100
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Yearly volume of agricultural production (metric tons)
(Numeric)
Data Source:
1) Eurostat Agricultural Production- Crops: http://ec.europa.eu/eurostat/statistics-explained/index.php/Agricultura…;
2) World Bank, Cereal Yield per Hectare: http://data.worldbank.org/indicator/AG.YLD.CREL.KG                     …;
3) FAOSTAT: Livestock Processed: http://www.fao.org/faostat/en/#data/QPÂ Â Â Â Â Â Â
Crops: http://www.fao.org/faostat/en/#data/QCÂ Â Â Â Â Â
Live animals: http://www.fao.org/faostat/en/#data/QAÂ Â Â Â Â Â Â Â Â
Livestock Primary ( Producing animals/ slaughtered, Yield, Production Quantity) http://www.fao.org/faostat/en/#data/QL
Additional Information:
Indicator Definition: Agricultural production data refers to vegetable and animal production that is made available for human consumption and animal feed . Volume of agricultural production is the total of volume of plant production and volume of animal production. Crop production data include: cereals, main crops (dried pulses and protein crops, root crops, industrial crops, plants harvested green), vegetables, melons and strawberries, permanent crops (fruits, olive trees and vineyards), agricultural land use for utilised agricultural area (arable land, permanent crops, permanent grassland) and refer to : areas under cultivation (cereals and main crops), (expressed in 1 000 hectares), harvested areas (vegetables), (expressed in 1 000 hectares),production area (permanent crops) (expressed in 1 000 hectares), harvested production (expressed in 1 000 tonnes) and yield per hectare (expressed in 100 kg/hectare).
Animal production data cover: bovine animals, sheep, goats, pigs, poultry And refer to: livestock (expressed in number of animals), slaughtering (expressed in number of animals and tonnes), milk and dairy production (quantities produced and used on farm and in dairies, production of eggs for hatching, trade of chicks. This indicator measures the annual volume of agricultural production which includes both crop production and animal production). (European Commission definition: http://ec.europa.eu/eurostat/web/agriculture/agricultural-production).
Method of Computation: Sum of volume of crop production by type of crop and total volume of animal production by type of animal and type of animal product(e.g. quantity of eggs)
Type of data disaggregation: Per country, Main branches of agricultural production: Plant production by type of crop and Animal production by type of animal and animal produce.
Â
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Yearly volume of production of proteins/lipids (metric tons), disaggregated by source of protein and lipids (animals or plants)
(Numeric)
Data Source:
FAOSTAT Crop Processed: http://www.fao.org/faostat/en/#data/QD/metadata                        …;
Livestock Processed:http://www.fao.org/faostat/en/#data/QP
Additional Information:
Indicator Definition: Lipids are the generic names assigned to a group of fat soluble compounds found in the tissues of plants and animals: and are broadly classified as: a) fats, b) phospholipids, c) sphingomyelins, d) waxes, and e) sterols. Proteins are large molecules made of amino acids. Proteins are found in animal and plant foods. This indicator measures yearly total production of volume in metric tonnes of proteins and/or lipids produced from either animals or plants.
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Yearly volume of fish production (metric tons), disaggregated by type of production and location
(Numeric)
Data Source:
1) Project-commissioned studies at the beginning and end of the action Â
2) FAO http://www.fao.org/fishery/en
Additional Information:
Indicator Definition: Small-scale fisheries generate income, provide food for local markets and make important contributions to nutrition. They also have a cultural and environmental value. The protection of access for small-scale artisanal fishers to marine resources and markets is part of the SDGs (14.b). This indicator contributes to monitoring progress toward this SDG, by collecting information on the yearly volume of fish production, disaggregated by different type (including aquaculture) and geographic areas. Along with SDG 14 targets, sustainable fisheries and aquaculture contribute to multiple objectives including ending poverty (SDG 1), ending hunger, achieving food security and improved nutrition (SDG 2), and promoting sustained, inclusive and sustainable economic growth (SDG 8).
Method of Computation : Sum of total volume of fishery production (produced through fish farming/aquaculture activity or caught from wild stocks – marine, coastal, off-shore and freshwater)
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Total number of livestock (Tropical Livestock Unit), disaggregated by type of livestock, type of production, location
(Numeric)
Data Source:
1)Country level statistics
2) FAO http://www.fao.org/faostat/en/#home,
3) Project-commissioned studies (at the beginning and end of implementation)
Additional Information:
Indicator Definition: Several livestock species play important roles for food production and income generation. The livestock unit, abbreviated as LU, is a reference unit which facilitates the aggregation of livestock from various species and age as per convention, via the use of specific coefficients established initially on the basis of the nutritional or feed requirement of each type of animal. Tropical Livestock Units(TLU), based on livestock grazing characteristics in tropical areas, is commonly taken to be an animal of 250 kg liveweight (source: FAO).
Method of Computation : Sum of total number of animals (by species) multiplied for the TLU conversion factor (i.e. 0.70 for cattle, 0.10 for sheep and goats, 0.20 for pigs, 0.010 for chicken)
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Livestock mortality rate, disaggregated by type of livestock
(Percentage)
Data Source:
1)Project-commissioned studies at the beginning and end of implementation,Â
2) http://www.fao.org/animal-production/en/?%DC%98%C3%A0=
Additional Information:
Indicator Definition: Cattle and other livestock face mortality risks caused by accidents, sickness and disease. The indicator shows the capacity of the producers to take care of animal health, and therefore the effectiveness of technical and veterinary services, including training.
Method of Computation : Â (number of death loss /total number of animal) x100
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Volume of production per labour unit by classes of farming/pastoral/forestry enterprise size, disaggregated by classes of farming, pastoral / forestry enterprise size *(2.3.1)
(Numeric)
Data Source:
1) Agricultural and Rural Integrated Surveys (AGRIS): http://agris.fao.org/agris-search/home BY FAO,IFAD and World Bank      Â
2) FAOSTAT :http://www.fao.org/faostat/en/
Additional Information:
Indicator Definition: The indicator refers to the value of production per labour unit operated by small scale producers in the farming, pastoral and forestry sectors. Data will be produced by classes of enterprise size.
Method of Computation:Â
Labour Productivity= Agricultural output /Labour input                                                                                           Numerator: all farm outputs, from agricultural activities and on-farm processing only --at farm-gate prices or first selling point
Denominator: different approaches, increasing precision and data collection burden
–# of workers
–# of days worked
–# of hours workedÂ
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Average yield per hectare, disaggregated by type of crop
(Numeric)
Data Source:
1) FAOSTAT Crop Production Indicator (different crops) : http://www.fao.org/faostat/en/#data/QC/metadata                        …;
2)World bank: Cereal Yield per hectarehttp://data.worldbank.org/indicator/AG.YLD.CREL.KG
- Land under cereal productionhttp://data.worldbank.org/indicator/AG.LND.CREL.HA                     …;
3) OECD Data, Crop Production for Wheat, Rice, Maize, soybean. https://data.oecd.org/agroutput/crop-production.htm
Additional Information:
Indicator Definition: A crop yield is a measurement of the amount of a crop that was harvested per unit of land area. Crop yield is the measurement often used for a cereal, grain or legume and is normally measured in metric tons per hectare (or kilograms per hectare).                                                                                                                                                                Â
FAO categorizes crops as Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world.                         Â
Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area.                                                                                                                                                                   Â
Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded.          Â
Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services                                                                                                                                                                           Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale.
Method of Computation: Crop yield = production data/ data on area harvested.    Â
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Livestock productivity (e.g. milk yield per head and/or kg of beef production per head), disaggregated by type of produce and location
(Numeric)
Data Source:
1) http://www.fao.org/ag/againfo/themes/en/animal_production.html;
2) Country level statistics;
3) Project-commissioned studies at the beginning and end of implementation
Additional Information:
Indicator Definition: Increasing productivity - making the most efficient use of production inputs - throughout the whole livestock sector will be fundamental to meet the growing demand for quality livestock products whilst minimising its impact on the environment and on the world’s natural resources: increased productivity can in fact reduce the need
for additional agricultural land and the rate of deforestation, as well as water withdrawal (currently crops and livestock account for 70 percent of all water withdrawals globally, and up to 95 percent in some developing countries, source FAO).
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| Result | Indicator(s) |
| Specific Objective - Outcome: More sustainable and inclusive Natural Resource Management (NRM) |
GHG emissions reduced or avoided as a result of the action, expressed in terms of CO2 equivalent
(Numeric)
Data Source:
1) European Environment Agency https://www.eea.europa.eu/data-and-maps/indicators/about http://web.unep.org/emissionsgap/,
2) http://ec.europa.eu/eurostat/statistics-explained/index.php/Greenhouse_…,
3) https://www.epa.gov/energy/greenhouse-gas-equivalencies-calculator
Additional Information:
 Indicator Definition: This indicator measures the effect of an action (e.g. the adoption of an energy saving technology. the plantation of trees etc.) in terms of quantity of GHG emissions not produced or sequestered. 'Greenhouse gases are the atmospheric gases responsible for causing global warming and climatic change. The major greenhouse gases are carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Less prevalent, but very powerful, GHGs are hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulphur hexafluoride (SF6). The global warming potential (GWP) of each gas is defined in relation to a given weight of carbon dioxide for a set time period (for the purpose of the Kyoto Protocol a period of 100 years). GWPs are used to convert emissions of greenhouse gases to a relative measure (known as carbon dioxide equivalents: CO2-equivalents). The weighting factors currently used are the following: carbon dioxide = 1, methane = 25, nitrous oxide = 298, and sulphur hexafluoride = 22 800. Carbon dioxide equivalent†or “CO2e†is a term for describing different greenhouse gases in a common unit: for any quantity and type of greenhouse gas, CO2e signifies the amount of CO2 which would have the equivalent global warming impact.
Method of computation:Â CO2 equivalent computed through greenhouse gas equivalencies tables. (Standard tables however are not available yet for several activities).
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Number of hectares of protected areas managed with EU support **(2-24)
(Numeric)
Data Source:
UNEP/ IUCN -World Database on Protected Areas (WDPA)-https://www.iucn.org/theme/protected-areas/our-work/parks-achieving-qua…
Additional Information:
Indicator Definition: This indicator seeks to reflect progress made in terms of in situ (on site) biodiversity conservation, trying to focus on the share of this progress that can be attributed to an EU contribution.
What constitutes a protected areas follows the definition proposed by the International Union for Conservation of Nature (IUCN):
"a clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values".                                                                   It encompasses different realities:
- whether the EU support has contributed to increase the area of protected areas, either by the creation of (a) new one(s), or the extension of (an) existing one(s)
- whether the EU support has contributed to consolidate the management of existing protected areas, through supplying operational equipment or staff, land mapping and physical demarcation, or through setting up a management committee and a management plan.
- whether the EU support has contributed to strengthen the management system in place so as to effectively protect the area and to prevent it from degradation or depletion.
Â
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Number of hectares of land covered by improved rangeland management structures and practices
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Rangelands are those lands on which the native vegetation (climax or natural potential plant community) is predominantly grasses, grass-like plants, forbs, or shrubs suitable for grazing or browsing use
Method of computation: Â Sum of total area in hectares (ha) rehabilitated and managed using improved practices.
Type of data disaggregation: N/A
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SDG 6.5.1 Degree of integrated water resources management (OPSYS core indicator)
Data Source:
UNEP-GEMI –Integrated Monitoring of Water and Sanitation ?related SDG Targets. Internet site: http://www.unwater.org/gemi/en/
Additional Information:
Indicator Definition: The indicator degree of implementation of Integrated Water Resources Management (IWRM), measured in per cent (%) from 0 (implementation not yet started) to 100 (fully implemented) is currently being measured in terms of different stages of development and implementation of Integrated Water Resources Management (IWRM). The definition of IWRM is based on an internationally agreed definition, and is universally applicable. IWRM was officially established in 1992 and is defined as “a process which promotes the coordinated development and management of water, land and related resources in order to maximise economic and social welfare in an equitable manner without compromising the sustainability of vital ecosystems.” (GWP 2010). The method builds on official UN IWRM status reporting, from 2008 and 2012, of the Johannesburg Plan of Implementation from the UN World Summit for Sustainable Development (1992). |
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Number of hectares under afforestation/reforestation
(Numeric)
Data Source:
FAO- Global Forest Resources Assessments (FRA), http://www.fao.org/forest-resources-assessment/past-assessments/en/
Additional Information:
Indicator Definition: Afforestation is defined as the artificial establishment of forest on lands which previously did not carry forest within living memory. Reforestation is defined as the artificial establishment of forest on lands which carried forest before. (Source FAO)
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Percentage decrease in the rate of deforestation
(Percentage)
Data Source:
1) http://www.fao.org/publications/sofo/2016/en/
2) Country level statistics on forests and deforestation
Additional Information:
Indicator Definition: Deforestation is the result of processes driven by multiple causes occurring at various scales and differing significantly between locations. Main causes of deforestation include human activities with direct impacts on forest cover, such as agricultural expansion, urban growth, infrastructure development and mining. According to FAO estimates, agricultural expansion is the most significant driver of deforestation worldwide. A reduced rate of deforestation is both an indicator of good management practices and improved well being, and a condition for sustainable agriculture. This indicator measure not the result of active intervention (afforestation) but the side effects of the increase of environmental awareness, the effects of improved agricultural management and of increased productivity.
Method of computation : Number of hectares deforested/total number of hectares of forest x 100 (on annual basis)Â
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Number of hectares of land with agro-forestry systems
(Numeric)
Data Source:
http://www.fao.org/forestry/agroforestry/80338/en/
Additional Information:
Indicator Definition: Agroforestry is a collective name for land-use systems and technologies where woody perennials (trees, shrubs, palms, bamboos, etc.) are deliberately used on the same land-management units as agricultural crops and/or animals, in some form of spatial arrangement or temporal sequence. In agroforestry systems there are both ecological and economical interactions between the different components
Method of computation : Number of hectares under agroforestry practices
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Number of hectares of forest managed under PFM (Participatory Forest Management) schemes
(Numeric)
Data Source:
http://www.fao.org/forestry/participatory/en/
Additional Information:
Indicator Definition: Participatory Forest Management includes all the approaches to forest management that recognize local people as key forest stakeholders, promote their involvement in decision-making and sustainable management of forests, aiming at generating positive outcomes for livelihoods, rural development and forest conservation.
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SDG 14.4.1 Proportion of fish stocks within biologically sustainable levels (OPSYS core indicator)
Data Source:
FAO biannual publication - The State of World Fisheries and Aquaculture (SOFIA): http://www.fao.org/publications/sofia/2016/en/, http://www.fao.org/3/a-i5555e.pdf
Additional Information:
Indicator Definition: The indicator is defined as Percentage of fish stocks exploited within their level of maximum biological productivity. The concept of “within biologically sustainable levels” means that abundance of the fish stock is at or higher than the level that can produce the maximum sustainable yield. |
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SDG 2.5.1 Number of (a) plant and (b) animal genetic resources for food and agriculture secured in either medium- or long-term conservation facilities (OPSYS core indicator)
Data Source:
FAO- Commission for Food and Genetic Resources. i)http://www.fao.org/3/a-mm294e.pdf, ii) plant genetic resources http://www.fao.org/agriculture/crops/thematic-sitemap/theme/seeds- pgr/gpa/national-focal-points/en/ and iii) animal genetic resources http://dad.fao.org/cgi- bin/EfabisWeb.cgi?sid=-1,contacts.
Additional Information:
Indicator Definition: Gene banks are defined as a type of biorepository which preserve genetic material. For plants, this could be by freezing cuttings from the plant, or stocking the seeds (e.g. in a seedbank). For animals, this is the freezing of sperm and eggs in zoological freezers until further need. The conservation of plant and animal genetic resources for food and agriculture (GRFA) in medium or long term conservation facilities (ex situ in gene banks - Ex situ conservation means conservation away from the habitat and production systems where the resource is developed), represents the most trusted means of conserving plant and animal genetic resources worldwide. Plant and animal GRFA conserved in these facilities can be easily used in breeding programmes as well, even directly on-farm. The measure of trends in ex situ conserved materials provides an overall assessment of the extent to which we are managing to maintain and/or increase the total genetic diversity available for future use and thus protected from any permanent loss of genetic diversity which may occur in the natural habitat, i.e. in situ/ or on-farm. |
| Result | Indicator(s) |
| Specific Objective - Outcome: Reduced food loss and waste |
Estimated level of food losses along the production, processing, transportation and distribution chain (including post-harvest handling practices)
(Percentage)
Data Source:
1) Project-commissioned studies at the beginning and end of implementation,
2) African Postharvest Losses information System, http://www.aphlis.net/
Additional Information:
Indicator Definition: This indicator measures the percentage of food loss attributed to post harvest handling practices. Postharvest handling is the stage of crop production immediately following harvest, including cooling, cleaning, sorting and packing. Food loss refers to all food produced for human consumption but not eaten by humans. Food loss is defined as “the decrease in quantity or quality of foodâ€. (FAO)
Method of Computation: Losses are estimated using an algorithm (the PHL Calculator) that operates on two data sets, these are a set of postharvest loss profiles and a set of seasonal data. The PHL profile - This is set of figures, one for each link in the postharvest chain, derived from the scientific literature. PHL profiles are specific to crop type, climate type and to the type of farm (smallholder or larger scale farming). One problem faced in seeking to provide PHL profiles is, that for many provinces there are no specific PHL data. It is therefore inevitable that many different provinces have to share the same data. This was achieved by clustering together the provinces of many countries that are basically similar with respect to the factors that influence PHLs; the most convenient method of doing this is regrouping of provinces according to climate classification, namely by tropical savannah, hot semi-arid, humid subtropical and subtropical highlands. As a result for each crop there is a PHL profile for each climate and farm type, so with eight crops there is a total of 36 profiles.
Seasonal data - Several ‘seasonal’ factors are taken into account in the loss calculation and these have a very significant bearing on the actual loss estimate. They are contributed by the APHLIS network members and include 1) whether or not there is damp weather at time of any of the harvests which would make drying difficult, 2) the proportion of grain that is marketed within the first three months, so will not enter farm storage for any significant time, 3) the length of the farm storage period, and 4) in the case of maize, whether or not LGB (Prostephanus truncatus) is expected to be a significant pest ( Source: African postharvest losses information system: http://www.aphlis.net/)
Type of data disaggregation: By type of product
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| Result | Indicator(s) |
| Specific Objective - Outcome: Adequate dietary intake |
Minimum Dietary Diversity – Women and adolescent girls (MDD-W))
(Numeric)
Data Source:
Food and Agriculture Organization of the United Nations and USAID’s Food and Nutrition Technical Assistance III Project (FANTA) https://www.fantaproject.org/monitoring-and-evaluation/minimum-dietary-…
Additional Information:
Indicator Definition: MDD-W is a dichotomous indicator of whether or not women 15-49 years of age have consumed at least five out of ten defined food groups the previous day or night. The proportion of women 15–49 years of age who reach this minimum in a population reflects one important dimension of diet quality. Groups of women who achieve minimum dietary diversity (i.e. meet the threshold of five or more groups) are more likely to have higher (more adequate) micronutrient intakes than groups of women who do not.                                                                                 The ten MDD-W food groups are:
1. Grains, white roots and tubers, and plantainsÂ
2. Pulses (beans, peas and lentils)Â
3. Nuts and seedsÂ
4. DairyÂ
5. Meat, poultry and fish
6. EggsÂ
7. Dark green leafy vegetables
8. Other vitamin A-rich fruits and vegetablesÂ
9. Other vegetablesÂ
10. Other fruitsÂ
Method of Computation: To construct the MDD-W indicator, the first step is to combine (aggregate) questionnaire rows (food
groups and subfood groups) into the 10 MDD-W food groups. The 10 MDD-W groups are first summed into a score ranging from 0 to 10. Each woman is then asked a series of questions indicating whether or not she has taken any food items from the different sub groups and the feedback is coded " Yes"= 1 or “No†=0 for scoring ≥ 5 which is the Minimum Dietary Diversity Score for Women. ( For further information on how to calculate MDD-W , follow this link: http://www.fao.org/3/a-i5486e.pdf)
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Minimum Dietary Diversity – Children (MDD-C)
(Numeric)
Data Source:
1) UNICEF https://data.unicef.org/topic/nutrition/infant-and-young-child-feeding/…;
2) WHO- http://www.who.int/nutrition/databases/infantfeeding/countries/en/     …;
3) FANTA Project- https://www.fantaproject.org/monitoring-and-evaluation/minimum-dietary-…
Additional Information:
Indicator Definition: The infant and young child minimum dietary diversity (IYCMDD) score is a diet quality indicator designed by the World Health Organization (WHO) to assess complementary infant and young child feeding (IYCF) practices among children 6-23 months old. It refers to the proportion of children 6–23 months of age who receive foods from 4 or more food group. Dietary diversity refers to the child receiving 4+ of the following food groups:
1. Grains, roots and tubers
2. Legumes and nuts
3. Dairy products (milk, yogurt, cheese)
4. Flesh foods (meat, fish, poultry and liver/organ meats)
5. Eggs
6 .Vitamin A rich fruits and vegetables
7. Other fruits and vegetables
Method of Computation: Data are gathered from a questionnaire administered to the child’s caregiver. Respondents are asked to indicate whether or not their child consumed any food over the previous 24 hours from each of seven food groups. The seven food groups included in the questionnaire are:
(1) Grains, roots, and tubers
(2) Legumes and nuts
(3) Dairy products
(4) Flesh foods
(5) Eggs
(6) Vitamin-A rich fruits and vegetables
(7) Other fruits and vegetables
The total number of food groups consumed is summed. The population level indicator is calculated based on the following formula:
Children 6-23 months of age who received foods from ≥4 food groups during the previous day / Total number of children 6-23 months of age surveyed
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Household Dietary Diversity Score (HDDS)
(Numeric)
Data Source:
Food and Nutrition Technical Assistance (FANTA) https://www.fantaproject.org/monitoring-and-evaluation/household-dietar…
Additional Information:
Indicator Definition: Household dietary diversity is defined as the number of different food groups consumed over a given reference period. This indicator measures household dietary diversity as a proxy measure of household food access. To better reflect a quality diet, the number of different food groups consumed is calculated, rather than the number of different foods consumed. Knowing that households consume, for example, an average of
four different food groups implies that their diets offer some diversity in both macro- and micronutrients.Â
This is a more meaningful indicator than knowing that households consume four different foods, which
might all be cereals.                                                                                                                                                                       The following set of 12 food groups is used to calculate the HDDS:
A. Cereals
G. Fish and seafood
B. Root and tubersÂ
H. Pulses/legumes/nuts
C. Vegetables
I. Milk and milk productsÂ
D. Fruits                                                                                                                                                                                       J. Oil/fats
E. Meat, poultry, offal  Â
K. Sugar/honeyÂ
F. Eggs
L. Miscellaneous
Method of Computation: First, the HDDS variable is calculated for each household. The value of this variable will range from 0 to 12.
HDDS (0-12)
Total number of food groups consumed by members of the household.
Values for A through L will be either “0†or “1â€.
Sum (A + B + C + D + E + F + G + H + I + J + K + L): 12 Food groups used to calculate HDDS
Second, the average HDDS indicator is calculated for the sample population.
Average HDDS=Sum (HDDS)/Total Number of Households                           Â
For more information on indicator tabulation plan:https://www.fantaproject.org/sites/default/files/resources/HDDS_v2_Sep0…;
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Food Consumption Score (FCS)
(Numeric)
Data Source:
World Food Programme- http://vam.wfp.org/mvam_monitoring/databank_fcs.aspx
Additional Information:
Indicator Definition: The Food Consumption Score (FCS) is a composite score based on dietary diversity, food frequency, and relative nutritional importance of different food groups. The frequency weighted diet diversity score or “Food consumption score†is a score calculated using the frequency of consumption of different food groups consumed by a household during the 7 days before the survey. ( Source: WFP Technical Guidance sheet, Food Consumption)
Method of Computation:Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â I. Using standard VAM 7-day food frequency data , group all the food items into specific food groups.
Method of Computation:
II.Sum all the consumption frequencies of food items of the same group
,and recode the value of each group above 7 as 7.
III.Multiply the value obtained for each food group by its weight
 (see food group weights in table below) and create new weighted food group scores.
IV.Sum the weighed food group scores, thus creating
 the food consumption score (FCS).Â
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Minimum Acceptable Diet (MAD)
(Percentage)
Data Source:
1)UNICEF - MICS5 http://mics.unicef.org/Â Â Â Â Â Â Â Â Â Â
2)UNICEF Data on Child Nutrition - Infant and Young Child Feeding https://data.unicef.org/topic/nutrition/infant-and-young-child-feeding/…;
3) DHS http://dhsprogram.com/ - Maternal and Child Nutrition
Additional Information:
Indicator Definition: This indicator measures the proportion of children 6-23 months of age who receive a minimum acceptable diet (MAD), apart from breast milk. The “minimum acceptable diet†indicator measures both the minimum feeding frequency and minimum dietary diversity, as appropriate for various age groups. If a child meets the minimum feeding frequency and minimum dietary diversity for their age group and breastfeeding status, then they are considered to receive a minimum acceptable diet. Tabulation of indicator results require that data on breastfeeding, dietary diversity, number of semi-solid/solid feeds and number of milk feeds be collected for children 6-23 months the day preceding the survey.
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| Result | Indicator(s) |
| Specific Objective - Outcome: Improved hygiene, childcare and feeding practices |
Proportion of population using safely managed drinking water sources, disaggregated by sex *(6.1.1) and **(1-22)
(Percentage)
Data Source:
1) WHO - Global Health Observatory Data - http://apps.who.int/gho/data/node.home        Â
2) UNICEF- https://data.unicef.org/topic/water-and-sanitation/sanitation/         …;
3) UN-MDG database http://mdgs.un.org/unsd/mdg/data.aspx          Â
4) UN Population data http://esa.un.org/unpd/wpp/Excel-Data/population.htm (using the "estimates" sheet. Where it is necessary                                Â
5) WHO/UNICEF JMP -Â global data on drinking water, sanitation and hygiene (WASH).- https://washdata.org/
Additional Information:
Indicator Definition: Percentage of the population using a basic drinking water source (‘improved’ sources of drinking water used for MDG monitoring i.e. piped water into dwelling, yard or plot; public taps or standpipes; boreholes or tubewells; protected dug wells; protected springs and rainwater) which is located on premises and available when needed and free of faecal (and priority chemical) contamination.
Method of Computation: •taking the latest available proportion of population who are using an improved drinking water source for each country
 • multiplying this number by the population for the country in that same year;
 • adding together the above numbers for all the countries where the EU has external action programmes. This will give the first element for a weighted proportion of the population using improved drinking water sources;
 • adding together the populations of all the countries where the EU has external action programmes for the same year as used above. This will give the second element for a weighted proportion of the population using improved drinking water sources
 • dividing the first element by the second element. This will give the weighted average proportion of population using improved drinking water sources
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Availability of safe drinking water (litres per person per day)
(Numeric)
Data Source:
1) Project-commissioned studies at the beginning and end of implementation,
2) WHO-The Global Analysis and Assessment of Sanitation and Drinking-Water (GLAAS)
Additional Information:
Indicator Definition: Drinking water is defined as water for ingestion, basic personal and domestic hygiene and cooking. It excludes water for clothes washing, an activity that frequently happens at the water source, water point, in rivers or streams. This indicator measures amount of safe drinking water available litres per person per day
Method of computation: Sum o f safe drinking water in litres per person per day
Type of data disaggregation: N/A
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GERF 1.31/ SDG 6.2.1/ EURF 1.10 Proportion of population using (a) safely managed sanitation services and (b) a hand-washing facility with soap and water (OPSYS core indicator)
Data Source:
1) WHO - Global Health Observatory Data - http://apps.who.int/gho/data/node.home 2) UNICEF- https://data.unicef.org/topic/water-and-sanitation/sanitation/ 3) UN-MDG database http://mdgs.un.org/unsd/mdg/data.aspx 4) UN Population data http://esa.un.org/unpd/wpp/Excel-Data/population.htm (using the "estimates" sheet. Where it is necessary 5) WHO/UNICEF JMP - global data on drinking water, sanitation and hygiene (WASH).- https://washdata.org/
Additional Information:
Indicator Definition: Percentage of the population using a basic sanitation facility at the household level (‘improved’ sanitation facilities used for MDG monitoring i.e. flush or pour flush toilets to sewer systems, septic tanks or pit latrines, ventilated improved pit latrines, pit latrines with a slab, and composting toilets, the same categories as improved sources of drinking water used for MDG monitoring) which is not shared with other households and where excreta is safely disposed in situ or treated off?site. |
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Number of targeted areas declared Open Defecation Free (ODF)
(Numeric)
Data Source:
1) WHO - Global Health Observatory Data - http://apps.who.int/gho/data/node.home        Â
2) UNICEF- https://data.unicef.org/topic/water-and-sanitation/sanitation/         …;
3) UN-MDG database http://mdgs.un.org/unsd/mdg/data.aspx          Â
4) UN Population data http://esa.un.org/unpd/wpp/Excel-Data/population.htm (using the "estimates" sheet. Where it is necessary                                  Â
5) WHO/UNICEF JMP -Â global data on drinking water, sanitation and hygiene (WASH).- https://washdata.org/
Additional Information:
Indicator Definition: Open defecation refers to the practice whereby people go out in fields, bushes, forests, open bodies of water, or other open spaces rather than using the toilet to defecate. Open Defecation Free means that a village or community has over a certain percent of the population using toilets instead of pooping out in the open. This indicator measures the number of target areas declared to be open defecation free (ODF).
Method of Computation: Sum of ODF declared areas
Type of data disaggregation: Administrative location, community, village
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Incidence of waterborne diseases, disaggregated by sex and age
(Numeric)
Data Source:
World Health Organization-Global Health Observatory Data - http://apps.who.int/gho/data/node.home
Additional Information:
Indicator Definition: Prevalence of waterborne diseases such as Cholera, and other serious illnesses such as Guinea Worm disease, Typhoid, and Dysentery.
Method of Computation: Sum of reported waterborne diseases cases
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Percentage of women who practise proper Infant and Young Child Feeding (IYCF), disaggregated by breast feeding (early initiation, exclusive breast feeding until 6 months and continued breast feeding until 1 year of age)
(Percentage)
Data Source:
1) UNICEF- https://data.unicef.org/topic/nutrition/infant-and-young-child-feeding/…;
2) WHO-Â http://www.who.int/nutrition/databases/infantfeeding/countries/en/
Additional Information:
Indicator Definition: Number of women who practice Infant and Young Child Feeding (IYCF) according to WHO and UNICEF recommendations on early initiation of breastfeeding within 1 hour of birth; exclusive breastfeeding for the first 6 months of life; and introduction of nutritionally-adequate and safe complementary (solid) foods at 6 months together with continued breastfeeding up to 2 years of age or beyond.
Type of data disaggregation: Disaggregated by: breast feeding (early initiation, exclusive breast feeding until 6 months and continued breast feeding until the age of 1)
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Percentage of 1 year olds immunised, disaggregated by sex **(2-19)
(Percentage)
Data Source:
1) WHO-UNICEF estimates (http://apps.who.int/immunization_monitoring/globalsummary/timeseries/ts…)                                                                                Â
2) UNICEF - MICS5 http://mics.unicef.org/
Additional Information:
Indicator Definition: Number of infants who have received three doses of DPT (diphtheria, tetanus, pertussis/whooping cough) or three doses of pentavalent vaccine (= DTP + Hepatitis B and Haemophilus influenza type b), by age 1 year with EU support.Â
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Percentage of children who have received deworming treatment, disaggregated by sex
(Percentage)
Data Source:
http://www.who.int/elena/titles/deworming/en/
Additional Information:
Indicator Definition: This indicator measures the number of children receiving deworming treatment, aiming at treating helminth infections. Helminth infections are caused by a group of parasites commonly referred to as worms, including roundworms, whipworms and hookworms. They impair nutritional status by causing: internal bleeding which can lead to loss of iron and anaemia; intestinal inflammation and obstruction; diarrhoea; and impairment of nutrient intake, digestion and absorption.
Method of Computation:Â {Number of children receiving deworming treatment/total number of children} x 100
Type of data disaggregation: Sex
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Percentage of children receiving nutritional supplements (e.g. vitamins), disaggregated by sex
(Percentage)
Data Source:
1) UNICEF Vitamin A Deficiency data, https://data.unicef.org/topic/nutrition/vitamin-a-deficiency/          …;
2)Project-commissioned studies at the beginning and end of implementation
Additional Information:
Indicator Definition: This indicator measures the number of children receiving vitamin supplements
Method of computation: Sum of children receiving vitamin supplements
Type of data disaggregation: Sex
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Percentage of under-five children with acute malnutrition receiving timely and appropriate nutrition treatment, disaggregated by sex
(Percentage)
Data Source:
1. WHO -Global Health Observatory Data - http://apps.who.int/gho/data/node.home     Â
2) UNICEF -https://data.unicef.org/Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
3) Project-commissioned studies at the beginning and end of implementation
Additional Information:
Indicator Definition: This indicator measures the percentage of children under 5 years of age with acute malnutrition (Acute malnutrition– Recent and severe weight loss as a result of acute food shortage and/or illness. Measured by weight for height or MUAC ) who receive timely and appropriate treatment
Method of computation: The prevalence of these forms of malnutrition is calculated by measuring the presence of malnutrition in a sample of the population selected randomly, then dividing the number of people with that form of malnutrition by the number of people in whom it was measured.
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| Result | Indicator(s) |
| Specific Objective - Outcome: Women empowered to participate in decisions about the use of productive resources and HH income |
Percentage of time spent on unpaid domestic and care work, by sex, age and location *(5.4.1)
(Percentage)
Data Source:
1) UN Women: http://www.unwomen.org/en/what-we-do/economic-empowerment/facts-and-fig…;
2) UNSD: https://unstats.un.org/unsd/gender/timeuse/Â Â
3)UNDP: http://hdr.undp.org/en/data
Additional Information:
Indicator Definition: Unpaid domestic and care work activities include the unpaid production of goods for own final consumption, these include:
-Unpaid work that involves the production of goods for self? consumption (e.g., collecting water or firewood);
–Unpaid work that involves the provision of services for self ?consumption (e.g. Cooking or cleaning as well
as person?to?person care for other people); and
–‘Voluntary work’ which consists of service or activity undertaken without pay for the benefit of the community,
the environment and persons other than close relatives or those within the household
Method of Computation: { Time spent in unpaid care and domestic work/ total time} x 100
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Proportion of women who participate in decisions about use of productive resources (choice of crops, inputs, timing of cropping, sale/transfer of land)
(Percentage)
Data Source:
FAO- Gender and Land Right Database. http://www.fao.org/gender-landrights-database/en/
Additional Information:
Indicator Definition: Percentage of women and men who have decision-making powers to decide on land use. The rights to make decisions on how the land should be used including deciding what crops should be planted, and to benefit
financially from the sale of the crops falls under Control rights to land. Other rights to land include Use right:   the right to use the land for grazing, growing subsistence crops, gathering minor forestry products, etc., Transfer rights :the right to sell or mortgage the land, to convey the land to others through intra-community reallocations or to heirs, and to reallocate use and control right
Method of Computation:{ Number of ( women and men separately) who participate in decisions about land use / Total number of population} x 100
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Proportion of women who participate (solely or jointly) in decisions about HH income
(Percentage)
Data Source:
IFPRI - Women's empowerment in agriculture index. http://www.ifpri.org/publication/womens-empowerment-agriculture-index
Additional Information:
Indicator Definition: Percentage of men and women who participate together or alone in making decisions about income from rural on-and off-farm enterprises
Method of Computation: {Number of men , Number of women who participate in decision making/ Total number of people in population } x 100
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Proportion of women in managerial positions (e.g. in WASH groups, producers’ organisations, infrastructure monitoring committees, NRM management committees, etc.) *(5.5.2.)
(Percentage)
Data Source:
FAO- Gender and Lands Right Database. http://www.fao.org/gender-landrights-database/en/
Additional Information:
Indicator Definition: Percentage of women who are part of the management of different types of organizations.
Method of Computation: {Number of women participate in decision on HH income/ Total number of women respondent x 100
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Secondary education completion rate for girls
(Percentage)
Data Source:
1) UNICEF Global database -https://data.unicef.org/topic/education/secondary-education/https://dat…;
2)UNESCO Institute for Statistics Fact sheets      http://data.uis.unesco.org/Index.aspx?DataSetCode=EDULIT_DS            …;
3) World Bank Databank: http://data.worldbank.org/indicator/SE.SEC.CMPT.LO.FE.ZS
Additional Information:
Indicator Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational).
Method of Computation: 1) The number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education. (World bank database, source of computation from UNESCO) 2. Total number of students in the last grade of secondary education minus repeaters in that grade/ total number of children of official completing age. (This captures dropout rates within secondary school as well as the transition rate between primary to secondary schooling by using as its denominator the total number of children of official completing age) (The UN Sustainable Development Solutions Network (SDSN) Calculations)
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased uptake of basic healthcare and social services |
Proportion of women of reproductive age who have their needs for family planning satisfied with modern methods *(3.7.1)
(Percentage)
Data Source:
1) WHO - http://apps.who.int/gho/data/node.home       Â
2) Household surveys-Household surveys that can generate data for this indicator include Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), Fertility and Family Surveys (FFS), Reproductive Health Surveys (RHS) and other surveys based on similar methodologies.Â
3) Health facilities reporting system- Health information systems (HIS)
Additional Information:
Percentage of women of reproductive age (15-49 years) who are sexually active and who have their needs for family planning satisfied with modern methods. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
Method of Computation: The numerator is the percentage of women of reproductive age (15-49 years old) who are currently using, or whose sexual partner is currently using, at least one modern contraceptive method. The denominator is the total demand for family planning (the sum of contraceptive prevalence (any method) and the unmet need for family planning).
Type of data disaggregation: N/A
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Number of births attended by a skilled health professional *(3.1.2) and **(2-18)
(Numeric)
Data Source:
1) WHO http://apps.who.int/gho/data/node.home       Â
2) World Bank - http://data.worldbank.org/indicator/SH.STA.BRTC.ZS                     …;
3) UNFPA Open Data: http://dashboard.unfpaopendata.org/family_planning/
Additional Information:
Percentage of live births attended by skilled health personnel (doctors, nurses or midwives) trained in providing life-saving obstetric care, including giving the necessary supervision, care and advice to women during pregnancy, childbirth and the postpartum period, to conduct deliveries on their own, and to care for newborns) during a specified time period.
Method of Computation: Â {Number of births attended by skilled health personnel/Â The total number of live births in the same period } x 100
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GERF 2.32/ EU RF 2.1 Number of food insecure people receiving EU assistance (OPSYS core indicator)
Data Source:
Project-commissioned studies at the beginning and end of implementation
Additional Information:
Social transfers are defined as “non-contributory, publicly funded, direct, regular and predictable resource transfers (in cash or in kind) to poor or vulnerable individuals or households, aimed at reducing their deficits in food consumption, protecting them from shocks (including economic and climatic), and, in some cases, strengthening their productive capacity.” "Food security exists when all people, at all times, have physical, social and economic access to sufficient safe and nutritious food that meets their dietary needs and food preferences for an active and healthy life." Food insecurity exists whenever the availability of nutritionally adequate and safe foods or the ability to acquire acceptable foods in socially acceptable ways is limited or uncertain. |
| Result | Indicator(s) |
| Specific Objective - Outcome: Improved prevention of and preparedness for food crises |
Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015-2030 *(11.b.1)
(Percentage)
Data Source:
National Progress Report of the Sendai Monitor, reported to UNISDRÂ http://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdfr
Additional Information:
Local DRR Strategies in line with the Sendai Framework for Disaster Risk Reduction 2015-2030: local disaster risk reduction strategies and plans, across different timescales with targets, indicators and time frames, aimed at preventing the creation of risk, the reduction of existing risk and the strengthening of economic, social, health and environmental resilience (Sendai Framework, para27 (b)). Note: the DRR strategies need to be based on risk information and assessments.                                                                             Local Government: Form of public administration at the lowest tier of administration within a given state, which generally acts within powers delegated to them by legislation or directives of the higher level of government.
Method of Computation: Summation of data from National Progress Report of the Sendai Monitor
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Evidence of use of hazard, vulnerability and/or resilience-related data to inform decision on FNS&SA programming and implementation
(Percentage)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
This indicator denotes the inclusion of relevant and credible information into the orientation of FNS&SA programming and implementation.
Method of Computation:Â {Number of policies/regulations etc. including information produced through related information systems/ Total number on related policies } x 100
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Number of HHs who report saving regularly - disaggregated by sex, age and ethnicity when relevant of the household member who saved
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Household saving is not only the main domestic source of funds to finance investment, but also a major tool for resilience, enhancing the HHs capacity to react and recover from unforeseen events, such as food crises. This indicator documents, based on reported information, the attitude by HHs to adopt behaviours appropriate for anticipation and adaptation to food crises.
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Value of distress sales of assets by HH as compared to previous similar disasters
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Distressed sale is when property, stocks or other assets are sold in an urgent manner, often at a loss. Distressed sales often occur at a loss because funds tied up in the asset are needed within a short period of time. This indicator measures the economic value of assets that are sold as distressed sales in comparison to value of distressed sales from similar disastrous situations experienced by the household previously.
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Strategic grain reserve (metric tons)
(Qualitative)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Strategic grain reserves—also called emergency food reserves or food security reserves. This indicator measures the quantity in metric tons of grains in the strategic food reserve at national level
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Number of livestock water and pasture shortage/gap months, disaggregated by species
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Lack of food for animals (scarce pasture, food stock depleted, price of animal feed increased) determine the probability of livestock becoming weaker, less productive, and to perish, severely affecting smallholders' livelihoods. This indicator measures both the severity of the crises and the capacity to take measures to mitigate them.
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| Result | Indicator(s) |
| Specific Objective - Outcome: Improved FNS & SA governance |
Proportion of population satisfied with their last experience of public services, disaggregated by type of public service accessed, location and characteristics of the respondent (ethnicity, sex, age, income, disability status, religion, migratory o
(Percentage)
Data Source:
SHaSA Harmonised Module on Democratic Governance.
Global Barometer Study: http://www.jdsurvey.net/gbs/gbs.jsp
World Values Survey: http://www.worldvaluessurvey.org/wvs.jsp
Gallup World Poll: http://www.gallup.com/services/170945/world-poll.aspx
Additional Information:
Indicator Definition: This indicator is proposed to track several SDG targets:
1.4 (access to basic services)
3.8 (access to quality, essential health-care services)
4.1, 4.2 and 4a (quality education, including facilities)
7.1 (access to affordable, reliable energy services)
10.2 (social inclusion)
11.1 (adequate housing)
16.3 (rule of law)
16.6 (effective, accountable and transparent institutions)
Method of computation: Number of respondents replying that they were satisfied or very satisfied with their last experience of accessing a public service divided by the total number of respondents. Â
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Proportion of population who believe decision making is inclusive and responsive, disaggregated by respondents' ethnicity, sex, age, income, disability status, religion, migratory or displacement status, civil status, minority or indigenous status,
(Percentage)
Data Source:
Standards are being developed by the Praia Group and will be put forward to the IAEG-SDG. https://unstats.un.org/sdgs/tierIII-indicators/
Additional Information:
Indicator Definition: The objective of this indicator is to assess progress toward SDG 16. Ensure responsive, inclusive, participatory and representative decision-making at all levels, through the respondent's perception.
Method of computation: Â Number of respondents replying that they believe decision making is inclusive and responsive, divided by the total number of respondents.
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Number of policies, strategies and regulations incorporating inputs and recommendations from multi-stakeholder platforms
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: The number of FNS&SA initiatives (policies, legislation, strategies, etc.) targeting small producers where different stakeholder groups such as CSOs, smallholder producers’ organizations, women’s organizations, private sector, research and academy have played a role/been involved.
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Evidence of use of relevant and credible information in FNS&SA policies, strategies and regulations
(Qualitative)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicators refers to the capacity of institutions to incorporate information from monitoring systems into policy making at different levels, as well as the capacity of the monitoring/information system to produce and deliver relevant and credible information.
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Progress by countries in adopting and implementing a legal/regulatory/policy/institutional framework (including customary law) which recognises and protects women’s equal rights to land ownership and/or control *(derived from 5.a.2)
(Qualitative)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: The indicator focuses on the effort to develop for each country a legal/ regulatory/ policy/ institutional framework (including customary law) which recognizes and protects women’s equal rights to land ownership and/or control.
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Agricultural supply chains taking into account ‘due diligence frameworks’ (such as the OECD-FAO Guidance for Responsible Agricultural Supply Chains)
(Qualitative)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: According to the OECD Guidelines for Multinational Enterprises, Due diligence is understood as the process through which enterprises can identify, prevent, mitigate and account for how they address their actual and potential adverse impacts as an integral part of business decision-making and risk management systems. The process should include assessing actual and potential impacts throughout their business operations, integrating and acting upon the findings, tracking responses, and communicating how impacts are addressed. Due diligence implies more than just an assessment of risks for the company; the purpose is to understand and address risks and abuses that the company’s activities pose to rights holders, including in its supply chain and through its other business relationships. The due diligence provision uses the concept of “adverse impactsâ€to mean adverse human rights impacts to rights-holders, as well as all other types of adverse impacts on matters covered by the Guidelines, unless explicitly excluded. This means that impacts not addressed by traditional human rights, such as those related to the environment, corruption and industrial relations for example, should also be subject to risk-based due diligence. This indicator measures the number of Agricultural enterprises within the supply chain that implement due diligence in their framework. [ Source: https://mneguidelines.oecd.org/global-forum/GFRBC-2014-financial-sector…, http://www.oecd.org/daf/inv/mne/48004323.pdf]
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Progress by country/ies in adopting and implementing a legal/regulatory/policy/institutional framework which recognises and protects access rights for small-scale fisheries *(14.b.1)
(Qualitative)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
The indicator focuses on the effort to combat Illegal , Unreported And Unregulated (IUU) fishing through the effective implementation of key international instruments relevant to IUU fishing. The indicator is based on FAO member country responses to the Code of Conduct for Responsible Fisheries (CCRF) survey questionnaires which is circulated by FAO every two years to members and IGOs and INGOs. This indicator is calculated on the basis of the efforts being made by countries to implement key international instruments aiming to combat IUU fishing, as reported in a given year of the survey. Indicator variables include:                                                                                     1.Development and implementation of national plan of action (NPOA) to combat IUU fishing in line with the IPOA?IUU                                                                                                                                                                               2.Ratification and implementation of the 2009 FAO Agreement on Port State Measures                                   3.Ratification and implementation of the 1993 FAO Compliance Agreement
Method of Computation: The weight given to each of the variables in calculating the indicator value for each country are as follows: Variable 1 – 40% ; Variable 2 – 40% : Variable 3 – 20%                                                                 The absence of a NPOA and the lack of ratification of the binding Agreements will automatically result in a “zero†score for the respective variables, unless there is evidence that efforts to address the matter are being made (in which case some points are awarded). For each variable, the maximum score will be obtained if implementation is also taking place. As this indicator would be reported in the biannual CCRF survey, the difference in score as compared to the preceding year of the previous survey response will reflect the progress made during the survey periods.
Type of data disaggregation: By country
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased investment in agriculture |
Country score for the agriculture orientation index for government expenditures *(2.a.1)
(Numeric)
Data Source:
UN data website: http://data.un.org/Data.aspx?q=government+expenditure&d=SDGs&f=series%3…
Additional Information:
The Agriculture Orientation Index (AOI) for government expenditures, which provides a ratio of the agriculture share of central government spending to agriculture’s contribution to GDP. Governments with an AOI greater than 1 give more prominence to agriculture than its contribution to the economy while those with an AOI less than 1 give more prominence to non-agricultural sectors.Â
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Total official flows (official development assistance plus other official flows) to the agriculture sector *(2.a.2)
(Numeric)
Data Source:
http://www.oecd.org/dac/stats/methodology.htm  Data are reported on an annual calendar year basis by statistical reporters in national administrations (aid agencies, Ministries of Foreign Affairs or Finance, etc.)Â
Additional Information:
Definition: Gross disbursements of total ODA and other official flows from all donors to the agriculture sector. Â Rationale: Total ODA and OOF flows to developing countries quantify the public effort (excluding export credits) that donors provide to developing countries for agriculture. Computation Method: The sum of ODA and OOF flows from all donors to developing countries in the agriculture sector.
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| Result | Indicator(s) |
| Specific Objective - Outcome: Improved FNS & SA governance |
Share of government budget allocated to agricultural research and development
(Percentage)
Data Source:
FAOSTAT- Agricultural Science and Technology Indicators (ASTI) Expenditure Indicator: http://www.fao.org/faostat/en/#data/AE2) www.asti.cgiar.org/data
Additional Information:
Indicator Definition: Percentage of government budget that is allocated to agricultural research and development
Method of Computation: { Annual Govt. expenditure on agricultural research and development / Total Govt expenditure} x 100
Type of data disaggregation: By country
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Rate of progress on implementing FNS&SA policies, strategies and regulations
(Percentage)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Percentage of implementation compared to planned.
Method of Computation: Actions implemented/Actions planned x 100
Type of data disaggregation: By country
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Information on progress on implementing FNS&SA policies, strategies and regulations regularly made public
(Percentage)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: Number of communication on implementation/results compared to planned actions
Method of Computation: Information delivered/Actions planned x 100
Type of data disaggregation: By country
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased investment in agriculture |
Yearly volume of credit to agriculture
(Numeric)
Data Source:
FAOSTAT
Additional Information:
Definition:Â This indicator provides information on the financial support to investement in agriculture. The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses.Â
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Foreign Direct Investment inflows to agriculture, forestry and fishing
(Numeric)
Data Source:
FAOSTAT
Additional Information:
Definition: FDI is a category of cross-border investment in which an investor resident in one Member State establishes a lasting interest in and significant degree of influence over (ownership of 10% or more of the voting power) a business resident in another (OECD). Foreign Direct Investment (FDI) is considered a key driver of competitiveness and economic development.Â
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased application of learning, innovation and improved technologies in FNS & SA |
Number of smallholders adopting improved technologies and innovation (improved varieties/processing techniques etc.), disaggregated by location
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicator monitors progress in innovation by counting smallholders' application or use of improved technologies with different objectives.
Method of Computation:{Number of smallholder farmers adopting a given technique/ Total number of small scale farmers targeted} x 100
Type of data disaggregation: Sex, age, location, ethnicity when appropriate
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Number of households using improved energy saving technologies, disaggregated by location
(Numeric)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicator measures number and % of HH adopting improved energy saving technologies.
Method of Computation:{Number of HHs adopting energy saving technologies/ Total number of HHs targeted} x 100
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Percentage of produce (e.g. coffee, cocoa and cashew nuts) graded/sold as high quality, disaggregated by type of produce
(Percentage)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Indicator Definition: This indicators measures the capacity of smallholders to improve their access to market, by calculating the quantity of produce graded as high quality/sold at higher prices. Many small producers have access only to markets characterized by low-quality products, low prices and low returns. Improving the quality of their produce (through different processes), especially for produce with high commercial potential (such as coffee, cashew-nuts, cocoa) represents a way to access higher quality markets and obtain higher prices.
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| Result | Indicator(s) |
| Output: Rural infrastructure (re)constructed/delivered (transport, water and irrigation, storage, internet connectivity, etc.) |
Km of road constructed/rehabilitated with EU support
(Numeric)
Data Source:
Project and programme monitoring systemsÂ
Additional Information:
Indicator Definition: This indicator refers to the accumulated number of kilometres of roads constructed, rehabilitated or maintained. Roads should be part of the classified network of a country. Regardless of the type of civil works executed on the roads
Classified network includes the sum of the primary, secondary, and tertiary networks. The different components of the network are often allocated to different administrative jurisdictions:
• Primary network: Primary, main, trunk, or national roads are roads outside urban areas that belong to the top level road network, connecting the main population and economic centres of the country. These roads are characterized by a comparatively higher quality standard.
• Secondary network: Secondary or regional roads are the main feeder routes into, and provide the main links between, primary, main, truck, or national roads.
• Tertiary network: Tertiary, local, or rural roads are typically unpaved and carry a comparatively low level of traffic.
The result of the action (construction/rehabilitation or maintenance) should be a road in very good condition (which is, by definition, paved, gravel, and earth roads that require no capital road works).
Method of computation: Aggregation of all kilometres of roads constructed, rehabilitated or maintained with DEVCO support (financing). Even if EU support is partial (blending situation of co-financing), the total length of the road supported will be taken into account for the calculation.
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Number of people in rural areas who live within 2 km of an all-season road constructed with EU support (disaggregated by sex)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Number of rural people who live within 2 km (typically equivalent to a walk of 20 minutes) of an all-season road as a proportion of the total rural population. An all-season road is a road that is motorable all year by the prevailing means of rural transport (often a pick-up or a truck which does not have four-wheel-drive). Predictable interruptions of short duration during inclement weather (e.g. heavy rainfall) are acceptable, particularly on low volume roads.
Method of computation:Â Option A
The preferred approach to measuring this indicator is by analysis of household surveys that include appropriate questions about access to transport. This survey can be implemented during the preparation of the project within the environmental and social impact analysis.
Option B (when household survey not available)
1) The main determinant for calculating the number of people shall be the published population density (region/province or if not available, country) in which the projects were implemented. i.e. persons per square km.
2) For roads in the countryside (remote areas or rural areas) - this figure of the population density shall be multiplied with the length of the road (km) under evaluation and then multiplied by 4km (i.e. 2km either side of the road). (the formula to be applied then is : population density x length of road x 42.                                                                                         3) For roads linking major cities/towns/commercial centres – in addition to calculating the population along the road in between the cities as indicated above, a proportion of the population of the cities concerned shall also be calculated and apportioned to the total number of the people with all access to weather roads. This is to take into account the trade opportunities between the city communities that is created by the construction, rehabilitation or maintenance of the road joining them. This portion of the population is determined by the total number of road links the concerned city is linked to other cities or major trading centers. If for example the road under assessment is the only link between the city and any other cities in the country then the total population of the city is taken. However, if the city in question is also linked by other roads to other cities then the population of the city will be divided by the number of roads links the city has. In order to simplify the calculation only cities with populations that are equal to or greater than 100 000 people will be considered.
Type of data disaggregation: Sex
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Number of hectares of arable land under irrigation thanks to EU support
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding (source FAO).
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Number (and %) of smallholders with access to appropriate storage facilities constructed with EU support
(Numeric)
Data Source:
Project and programme monitoring systemsÂ
Additional Information:
Indicator Definition: FAO states that storage means the phase of the post-harvest system during which the products are kept in such a way as to guarantee food security other than during periods of agricultural production. Harvest storage systems are systems that facilitate storage of harvested produce. This indicator measures the number of households with adequate harvest storage systems. Type of data disaggregation: Sex
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Number (and %) of smallholders with access to water sources (boreholes, water harvesting structures, etc.) constructed with EU support
(Numeric)
Data Source:
Project and programme monitoring systemsÂ
Additional Information:
Indicator Definition: This indicator measures the number (and %) of smallholders who access water sources such as waterholes or water harvesting structures, i.e. structures used for the purposes of collecting runoff for productive purposes. Instead of runoff being left to cause erosion, it is harvested and utilized.Â
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| Result | Indicator(s) |
| Output: Increased access to productive inputs/tools/equipment |
Number of people receiving inputs and assets (e.g. livestock, seeds, tools, etc.) with EU funding, disaggregated by sex and beneficiary, value and type of input
(Numeric)
Data Source:
Project and programme monitoring systemsÂ
Additional Information:
Indicator Definition: In business, inputs are resources needed for processes involved with production, such as raw materials, equipment, personnel, facilities, and energy. Whereas an asset is something valuable that an entity owns, benefits from, or has use of, in generating income. This indicator measures the number of beneficiaries receiving input (seeds, tools, fertilizers, animals, animal vaccination/treatments, irrigation pump hours, tractor hours, boats, equipment, etc.)
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Number of HHs receiving improved productive inputs funded by the EU (e.g. drought-resistant local breeds of livestock (goats, chickens, etc.) or pest-tolerant crop varieties, etc.), disaggregated by location and rural/urban
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: In business, inputs are resources needed for processes involved with production, such as raw materials, equipment, personnel, facilities, and energy. Whereas an asset is something valuable that an entity owns, benefits from, or has use of, in generating income. This indicator measures the number of beneficiaries receiving input (seeds, tools, fertilizers, animals, animal vaccination/treatments, irrigation pump hours, tractor hours, boats, equipment, etc.)
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Average quantity of inputs distributed by the EU-funded action to HH or productive unit, disaggregated by type of input and number of HH
(Numeric)
Data Source:
Project and programme monitoring systemsÂ
Additional Information:
Indicator Definition: This indicator measures the access by smallholders to inputs as a result of direct distributions.
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Number of HHs or productive units with access to climate-smart innovative options promoted by the action (e.g. energy-saving technologies, etc.), disaggregated by location (urban/rural) and type of option
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Climate-smart innovative options are techniques for use other than agricultural production that contribute to reducing the impact on climate change, such as energy saving, water saving processes and equipment. The indicator measures the access of HH to these climate-smart innovative options.
Â
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| Result | Indicator(s) |
| Output: Strengthened agricultural and rural services available |
Number of people receiving rural advisory services with EU support, disaggregated by sex, age and ethnicity when relevant **(2-7)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Rural advisory services ( RAS) are the different activities that make knowledge available, strengthen capacities, empower rural people and promote innovations in the rural context.
RAS disseminates information about technologies, markets, inputs, financial issues, assist farmers to develop their technical, organisational and management skills and practices as to improve their livelihoods and wellbeing. It helps farmers to strengthen their relationship with the private sector, researchers and governments.
RAS improves ability of farmers to operate in groups, to deal with risk patterns, to use ICTs (Information Communication technologies) effectively, to seek new markets and deal with value chain operators.Â
Examples of RAS:
• Facilitation of linkages between farmers, their organisations and research.
• Development of informal and formal rural organisations.
• Training and advising farmers and agri-businesses along the market chain.Â
Method of computation:Â Sum of participants to workshops, trainings, field trips, or similar events, in the following themes:
• Technical - land cropping, use of seeds and other inputs, post-harvest handling, pest and disease control, livestock development, fisheries.
• Entrepreneurship and Business Development – processing of primary goods, marketing, negotiation of contracts, accounting, access to financial and non-financial services, setting-up of farmers organizations.
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Ratio of extension agents/providers to smallholder population
(Percentage)
Data Source:
Project-commissioned studies (at the beginning and end of the Action)
Additional Information:
Effectiveness of advisory services is linked to the number of smallholders each extension agent has to serve.
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Number of extension workers certified/trained by the Action, disaggregated by sex and topic
(Numeric)
Data Source:
Project and programme monitoring systemse>
Additional Information:
Indicator Definition: This indicator refers to the availability of extension workers having received training for specific capacities, as a tool to improve the quality of technical assistance and to support the diffusion of innovation in agricultural and rural development.
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Number of HHs/productive units with access to veterinary services supported by the Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Number of households that have access and utilize veterinary services (A.I services, Immunization, disease treatment, e.t.c)
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Number of livestock vaccinated with support of the Action, disaggregated by species and location
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Vaccination is an essential part of the animal health programme, in order to prevent losses due to animal diseases. This indicator measures the capacity of the veterinary services to provide vaccination coverage.Â
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Number of people with access to business incubator services (e.g. entrepreneurial mentoring, advisory services and technical assistance for diversified businesses) developed/strengthened with support of the Action, disaggregated by sex, age and locat
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Small businesses play a particularly important role in generating growth and employment especially in developing countries. The objective of business incubators is to help agro-entrepreneurs to create and expand their businesses. This indicator measures the availability of these services which are especially important for women, young people and remote areas.
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| Result | Indicator(s) |
| Output: Marketing services available for [*farmers/producer groups/associations/cooperatives] |
Number of farmers with access to either (a) Agriculture Market Information Systems (AMIS), (b) warehouse receipt systems of inventory credit (IC) or (c) agricultural commodity exchanges provided by the Action, disaggregated by sex, age, ethnicity whe
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures availability of the following services aiming at improved access to market: 1) Marketing Information System (MIS): a tool designed to support marketing decision making by provide accurate and timely information. 2) Warehouse receipt financing: it is the use of securely stored goods as loan collateral. These programs allow producers to deposit a finished good or agricultural product in a secure warehouse where the producer receives a receipt certifying the deposit of goods of a particular quantity, quality, and grade. Such a warehouse receipts system has the benefits of mobilizing credit to agriculture by creating secure collateral for the farmer, processor, and trader. 3) Agricultural commodity exchanges: markets across the world that trade in agricultural products and other raw materials (like wheat, barley, sugar, maize, cotton, cocoa, coffee, milk products etc.) and contracts based on them.  Â
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Number of producer groups/associations/cooperatives having contractual arrangements with marketing agents facilitated with support of the Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Number of producer groups/ associations/ cooperatives with a legally binding agreements with a marketing agent
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| Result | Indicator(s) |
| Output: Capacities of [*beneficiaries] for [*topic] developed |
Number of people who have benefited from TVET/skills development programmes with EU support, disaggregated by sex, age and ethnicity when relevant **(2-28)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Vocational Education and Training (VET) refers to ‘learning pathways which aim to equip people with knowledge, know-how, skills and/or competences required in particular occupations or more broadly in the labour market’.
Vocational training and learning can be formal or non-formal/informal, and can take place in education and training institutions, at the work place, within informal and traditional apprenticeships. The VET training should be aimed at helping those who are out of work to find a job; or training for those who are in work to find better employment to improve their career prospects. What should NOT be included is training which is aimed at those in work to better carry out their jobs, nor training which helps people in unpaid work, (e.g. community /volunteer work).
Formal VET includes the training provided by the established education and training system and normally leads to a formal qualification. A formal qualification is the formal outcome (certificate, diploma or title) of an assessment and validation process which is obtained when a competent body (trade association, government authority, public and private awarding bodies, etc.) determines that an individual has achieved learning outcomes to given standards and/or possesses the necessary competence to do a job in a specific area of work. A qualification confers official recognition of the value of learning outcomes in the labour market and in education and training.Â
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Number of people trained by the Action to engage in Income Generating Activities (IGA), disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Income Generating Activities (IGAs) consist of small businesses managed by a group of people to increase their household income through livelihood diversification. This indicator measures the total number of men and women supported/ trained to engage in IGAs.
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Number of people trained by the Action on financial management
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures to what extent smallholders are provided access to knowledge concerning financial management (accounting, business planning, etc.)
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Number of people trained by the Action on new agricultural practices/technologies (e.g. dryland farming initiatives, seed multiplication), disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: New Agricultural practices include but not limited to the following, Conservation agriculture, Dry land farming initiatives, Practices such as seed multiplication, Applying integrated pest management (IPM), Eliminating or reducing tillage. This indicator measures the number of households trained on new agricultural practices.Â
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Number of people trained by the Action on processing techniques (e.g. coffee), disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Processing agricultural produces is a way to increase and diversify farmers' income:Â this indicator measures to what extent smallholders acquire knowledge related to appropriate processing techniques.
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Number of people trained by the Action on food conservation and preservation, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Food processing and preparation activities cover three main fields: (1) the preservation of foods by (a) modern methods such as refrigeration, canning and irradiation, and (b) traditional methods such as drying, salting, smoking and fermentation; (2) the development of protein - rich foods; (3) food additives. Crop processing is a crucial step in converting raw harvested agricultural products into valuable marketable products. This indicator measures to what extent beneficiaries have acquired knowledge related to any of these methods.
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Number of people trained by the Action on sustainable land and water management practices, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: The United Nations defines sustainable land management (SLM) as the use of land resources, including soils, water, animals and plants, for the production of goods to meet changing human needs, while simultaneously ensuring the long-term productive potential of these resources and the maintenance of their environmental functions. This indicator measures how many people have been trained in sustainable land and water management practices
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Number of health professionals trained on nutrition-related topics
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
According to the World Health Organization, Health professionals maintain health in humans through the application of the principles and procedures of evidence-based medicine and caring. Health professionals study, diagnose, treat and prevent human illness, injury and other physical and mental impairments in accordance with the needs of the populations they serve. They advise on or apply preventive and curative measures, and promote health with the ultimate goal of meeting the health needs and expectations of individuals and populations, and improving population health outcomes. They also conduct research and improve or develop concepts, theories and operational methods to advance evidence-based health care. Their duties may include the supervision of other health workers. This indicator measures the number of health professionals trained
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Number of people trained by the Action on Climate Smart techniques/technologies, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Climate-smart innovative options are techniques/technologies aiming at reducing the impact of human activities on climate change, such as energy saving, water saving processes and equipment. This indicator measures to what extent beneficiaries have acquired knowledge related to these techniques/technologies.
Method of computation: Sum of people
Type of data disaggregation: Sex, age, ethnicity when appropriate
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Number of people trained by the Action on animal health, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Livestock contribute substantially to the livelihoods of smallholders as a source of income, food, and raw materials among others. Lack of adequate animal health care affects negatively the sector’s productivity. This indicator measures to what extent people have acquired knowledge relevant to ensure adequate animal health.
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Number of people trained by the Action on leadership skills, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures to what extent people, especially women and young people, are trained to increase their capacity to actively participate in community life and in the decision making process, assuming a lead position.
Method of computation: Sum of people
Type of data disaggregation: Sex, age, ethnicity when appropriate
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Number of people trained by the Action on Disaster Risk Reduction (DRR), disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: United Nations Office for Disaster Risk Reduction (UNISDR) state Disaster Risk Reduction aims to reduce the damage caused by natural hazards like earthquakes, floods, droughts and cyclones, through an ethic of prevention. This indicator measures the number of people trained on Disaster Risk Reduction- DRR
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| Result | Indicator(s) |
| Output: Increased awareness of e.g. family planning, nutrition, sanitation and hygiene, environmental protection and DRR |
Number (and %) of HHs with increased awareness of family planning methods thanks to support provided by the Action, disaggregated by location
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures to what extent the target population has been informed about family planning methods.
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Number (and %) of HHs reached by nutrition-related campaigns supported by the Action (e.g. inclusion of nutritional education in the curriculum for primary and secondary education, TV and radio spots addressing vulnerable HHs and decision makers, nut
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures the number of households that have received nutrition sensitive or nutrition related campaigns
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Number and (and %) of HHs reached by sanitation and hygiene promotion campaigns supported by the Action, disaggregated by location
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures to what extent the target population has been informed about sanitation and hygiene practices.
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Number of people with increased environmental awareness, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures to what extent the target population has been informed about environmental issues.
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Number of people with increased awareness of DRR thanks to support provided by the Action, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures to what extent the target population has been informed about DRR.
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| Result | Indicator(s) |
| Output: Social capital developed |
Number of people who are members of savings/loans groups established/reinforced by this Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Savings and loan groups are a group of people who save together and take small loans from those saving. The activities of the group run in cycles of one year, after which the accumulated savings and the loan profits are distributed back to members. The purpose of savings/ loan groups is to provide simple savings and loan facilities in a community that does not have easy access to formal financial services. This indicator measures the number of people who are members of saving / loans groups.
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Number of cooperatives/farmers’ groups established/strengthened by this Action (e.g. for collective purchase of inputs and/or marketing, etc.)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: In business, inputs are resources needed for processes involved with production, such as raw materials, equipment, personnel, facilities, and energy. Inputs include any and all factors required for production, and are generally recorded as costs on company balance sheets. Whereas marketing are activities of an entity associated with buying and selling a product or service. It includes advertising, selling and delivering products to people.
This indicator measures the number of cooperatives/groups established/strengthened for collective purchase of inputs and marketing (e.g. Number of Livestock Marketing Cooperatives).
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Number of people who are members of cooperatives/farmers’ groups, etc. established/reinforced by this Action, disaggregated by sex, age and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures the number of people participating in cooperatives/groups established/strengthened.
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Number of cooperatives/farmers’ groups registered with support of the Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A farmers' cooperative is an organization in which farmers work together as a business entity, especially to help each other produce and sell their crops. This indicator measures the number of farmers' groups/cooperatives registered legally with a formal administrative body
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Number of functioning WASH committees with by-laws enforced with support of the Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Committee functionality is measured by implementation of by-laws. This indicator measures a) number of WASH committees functioning properly b) number of women who are in these WASH committees
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| Result | Indicator(s) |
| Output: Improved access to nutritious food (food diversification, micronutrients content, food safety, etc.) |
Percentage increase in nutritional yield in HH directly benefiting from this Action
(Percentage)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator is based on the quantity of main nutritional components (protein, essential fatty acids, fats, kcal) produced per sq. m, based on the standard percentage content for each crop. Another option is to use the nutritional yield defined in terms of: Number of adults who would be able to obtain 100% of the dietary reference intakes (DRI) of selected nutrients for one year from a food produced annually on one hectare. It is calculated separately for individual nutrients, which could be combined into an index score of selected nutrients of interest in a given context. For this approach, see https://www.sciencedirect.com/science/article/pii/S2211912417300366
Method of computation: Production of a given crop in kg/sq. multiplied by the content of main nutrients (in%)= kg protein/sq. m, kg EFA (Essential fatty acids)/sq. m, kg oil/sq. m, kcal/sq. m etc.
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Number of HH cultivating 3 or more crops thanks to support of this Action, disaggregated by location
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: The indicator provides information on the capacity of HHs to meet HH members' nutritional needs thanks to diversified homegrown production.
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GERF 2.33/ EU RF 2.2 Number of women of reproductive age, adolescent girls and children under 5 reached by nutrition related interventions supported by the EU (OPSYS core indicator)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator provides a count of the number of: |
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Number of client HHs with adequate knowledge on Infant and Young Child Feeding (IYCF) practices thanks to support of this Action, disaggregated by location
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Infant and young child feeding practices include various dimensions: early initiation of breast feeding, continued breastfeeding, appropriate timing of introduction of complementary foods, and optimum quantity and quality of the foods consumed. This indicator measures knowledge, i.e. “individual’s understanding of nutrition, including the intellectual ability to remember and recall food- and nutrition-related terminology, specific pieces of information and facts†(FAO Guidelines 2014).Â
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| Result | Indicator(s) |
| Output: Improved coverage of basic services (health, WASH, childcare) |
Number of people with access to health facilities (re)constructed with support of this Action, disaggregated by sex
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Access to health care means having "the timely use of personal health services to achieve the best health outcomes" (IOM, 1993). This indicator measures percentage of women out of the total target population who have access to health facilities
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Number of pregnant women who receive (a) at least one visit or (b) at least four visits by a healthcare professional (in case of actions where healthcare professionals are funded from the Action)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Antenatal care coverage (at least one visit) is the percentage of women aged 15 to 49 with a live birth in a given time period that received antenatal care provided by skilled health personnel (doctor, nurse or midwife) at least once during pregnancy.
Skilled health personnel refers to workers/attendants that are accredited health professionals – such as a midwife, doctor or nurse – who have been educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborns. Both trained and untrained traditional birth attendants are excluded.
Antenatal care coverage (at least four visits) is the percentage of women aged 15 to 49 with a live birth in a given time period that received antenatal care four or more times. Available survey data on this indicator usually do not specify the type of the provider; therefore, in general, receipt of care by any provider is measured. WHO recommends a minimum of four antenatal visits based on a review of the effectiveness of different models of antenatal care.
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Number of women/adolescent girls receiving primary healthcare (in case of Actions where healthcare professionals are paid from the Action budget) (e.g. maternal healthcare, child healthcare, reproductive healthcare, supplementation, therapeutic feedi
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Primary healthcare is defined by WHO Europe as health care received in the community, usually from family doctors, community nurses, staff in local clinics or other health professionals. It should be universally accessible to individuals and families by means acceptable to them, with their full participation and at a cost that the community and country can afford. This indicator measures the total number of women/ adolescent girls receiving primary healthcare
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Number of women receiving childcare services provided with Action support
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
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Number of water systems rehabilitated with Action support
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A water system is a system for the collection, transmission, treatment, storage and distribution of water from source to consumers. This indicator measures the number of water systems rehabilitated
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Percentage of health facilities supported by the Action reporting zero stock out of tracer drugs over a quarter (Tracer drugs = ORS, Zinc, Amoxicillin/Co-trimoxazole, Coartem)/ reporting stock outs
(Percentage)
Data Source:
Project and programme monitoring systems
Additional Information:
This indicator measures the percentage of health facilities reporting no inventory in shelf (zero stock out) of tracer drugs over a year's quarter.Tracer drugs are medicine that contain a means or agent by which certain substances or structures can be identified or followed.
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Number of persons benefitting from the water systems rehabilitated by the Action, disaggregated by sex
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
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Number of new water systems built with Action support (persons reached)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A water system is a system for the collection, transmission, treatment, storage and distribution of water from source to consumers. This indicator measures the number of new water systems built
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| Result | Indicator(s) |
| Output: Disaster Risk Reduction “DRR” plans developed |
National and local DRR strategies developed with Action support *(1.5.3 and 13.1.1)
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: National DRR strategies in line with the Sendai Framework for Disaster Risk Reduction 2015-2030:national disaster risk reduction strategies and plans, across different timescales with targets, indicators and time frames, aimed at preventing the creation of risk, the reduction of existing risk
and the strengthening of economic, social, heal
the and environmental resilience (Sendai Framework,
para 27(b)). In the Sendai Framework, link with DRR and climate change adaptation is strongly advocated.
Note: the DRR strategies need to be based on risk information and assessments.
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Number of districts/regions having contingency plan and DRR plan developed with Action support
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A contingency plan is the synthesis of the discussion, analysis and decisions made during the planning process. It is also a means of communicating these ideas to people who may not have been involved in the planning process. The goals of a contingency plan are to establish a communication system, create recovery/response thresholds, and define the roles and responsibilities of key staff. A DRR plan is a management tool to help make decision on the appropriate mix of risk reduction
options. This indicator measures the number of districts/regions having contingency plan and DRR plan
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Percentage and number of districts supported by the Action providing regular (12 months / year) Early Warning monitoring data to the regions
(Percentage)
Data Source:
Project and programme monitoring systems
Additional Information:
UNISDR defines Early warning as an integrated system of hazard monitoring, forecasting and prediction, disaster risk assessment, communication and preparedness activities systems and processes that enables individuals, communities, governments, businesses and others to take timely action to reduce disaster risks in advance of hazardous events.This indicator measure the percentage of districts proving 12 months per year, Early Warning monitoring data to the regionsÂ
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| Result | Indicator(s) |
| Output: Improved food stock management systems |
Food stock management system designed/equipped with Action support
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures whether an emergency food stock management system has been established and working
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| Result | Indicator(s) |
| Output: Up-to-date information, data and statistics available (market, nutrition, food security, resilience, production, etc.) |
Status of the agricultural census
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures whether there are regularly updated agricultural census.
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Status of Market Information Systems
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A marketing information system is a management information system (MIS) designed to support marketing decision making. This indicator measures whether the market information system established and working
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Status of Information systems for nutrition (e.g. National Information Platforms of Nutrition (NIPN))
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: The nutrition information system is a system of continuous collection, analysis and interpretation of data about nutrition. It can be used to detect malnutrition epidemics, identify trends, make decisions about interventions and monitor programmes. This indicator measures whether the nutrition Information systems is established
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Status of food security early warning systems
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: The Food Security Early Warning System is a multitier system that fuses satellite climate data (rainfall anomaly, and vegetation health index), crowdsourced food price data and household survey data to provide integrated visualisations of the extent of drought affected areas, impacts on market structure and pricing, and coping strategies and resilience of affected populations. This indicator measures whether a Food security early warning systems has been established
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Status of information system for land management (e.g. cadastres, land registry)
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A Land Information System (LIS) is a Geographic Information System for cadastral and land-use mapping, typically consisting of an accurate, current and reliable land record cadastre and associated attributes. An LIS comprises spatial data that represent the legal boundaries of land tenure and provides a vital base layer for integration into other spatial information systems or as a standalone solution that permits users to retrieve, create, update, store, view, analyze and publish land information. This indicator measures whether the Information system for land management has been established
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Status of unified/single social transfers beneficiaries database
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Social transfer refer to the social help given by central, state or local institutional units. This indicator measures whether the Unified/single social transfers beneficiaries' database has been established
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Status of M&E system for policy monitoring in FNS&SA sectors (e.g. NRM/climate change actions/nutrition)
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: Policy monitoring is a process by which stakeholders follow and assess policies to ensure they are developed, endorsed, enacted, and implemented as intended. Policy monitoring involves (1) appraising the policy environment, (2) gauging the level and quality of stakeholder engagement, (3) documenting the progress of policy development and the legislative endorsement of policy, (4) putting policies into practice through financing and implementation planning, and (5) evaluating outcomes of implementation. This indicator measures whether M&E system for policy monitoring in FNS&SA sectors are developed and working.
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| Result | Indicator(s) |
| Output: Multi-stakeholder platforms established |
Number of stakeholder groups participating in multi-stakeholder platform established/reinforced with support of the Action (public, private, CSO and smallholder representatives)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: A platform is defined as a decision-making body (voluntary or statutory) comprising different stakeholders who perceive the same resource management problem, realise their interdependence for solving it, and come together to agree on action strategies for solving the problem. Stakeholders, are individuals, groups or institutions that are
concerned with, or have an interest in FNS & SA. The term
'multi' in Multi Stakeholder Platform does not refer to 'multiple stakes' on the part of one person or group (although they may well be present - as well as single stakeholders wearing multiple hats), but to the diversity of identities of stakeholders. This indicator measures the number of multi-stakeholder FNS&SA platforms developed
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Number of smallholders involved in multi-stakeholder platform established/reinforced with support of the Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures inclusiveness of multi-stakeholder platforms, by determining the number of smallholders involved.
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Number of local governance structures set up or strengthened by the Action (e.g. village development committees, land committees, networks for NRM, etc.)
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator denotes the participation of local communities in sustainable development governance (NRM, land and water management, etc.) by counting the number of structures for local governance set up at different levels.
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Status of national inter-sectoral FNS&SA coordination platform/system
(Qualitative)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: An inter-sectoral FNS & SA coordination platform refers to a decision making body that incorporates multiple sectors that promote and coordinate activities within the Food Nutrition Security and Sustainable Agriculture sector. This indicator measure whether an inter-sectoral FNS & SA coordination platforms has been established
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| Result | Indicator(s) |
| Output: Policies, legislation, regulations and action plans developed (including on land tenure, water, biodiversity, nutrition, territorial development, food security, food prices, fiscal, etc.) |
Number of FNS&SA policies/strategies/laws/regulations revised/elaborated with support of the Action
(Numeric)
Data Source:
1)Project and programme monitoring systems
2) Policy/legal documents
Additional Information:
Indicator Definition: This indicator measures whether FNS& SA policy/strategy/laws or regulations have been revised/ elaborated/ adopted/ approved or implemented.
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Status of national costed FNS&SA plan
(Qualitative)
Data Source:
National Action Plan document
Additional Information:
Indicator Definition: Indicator measures availability of a costed nutrition plan and whether the Nutrition plan is operational. A costed FNS plan has prices for actions/ activities, inputs related to FNS
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| Result | Indicator(s) |
| Output: PFM reform plans and strategy developed |
Status of Public Financial Management (PFM) reforms
(Qualitative)
Data Source:
Project-commissioned survey
Additional Information:
The exact substance of reforms will depend on the local context and should be specified in the indicator. It could be drawn from the PEFA indicators, such as status of a sector MTEF or status of a tax payers information system, etc.
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Status of a Public Expenditure Tracking Survey (PETS) in FNS&SA subsectors
(Qualitative)
Data Source:
National PFM plan documentation
Additional Information:
As information on actual public spending could be unavailable in some developing countries, the PETS provides the missing information from different tiers of government and frontline service facilities. It focuses on collecting micro-level data on the characteristics of the service facility, the nature of financial flows from facility records, outputs, and accountability arrangements.Â
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Status of Medium-Term Expenditure Framework (MTEF) for FNS&SA
(Qualitative)
Data Source:
Medium-Term Expenditure Framework (MTEF) document for FNS&SA
Additional Information:
MTEF aims at set up a transparent planning and budget formulation process within which the Cabinet and central agencies establish credible contracts for allocating public resources to their strategic priorities while ensuring overall fiscal discipline. The process entails two main objectives: the first aims at setting fiscal targets, the second aims at allocating resources to strategic priorities within these targets.
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| Result | Indicator(s) |
| Output: Rural infrastructure (re)constructed/delivered (transport, water and irrigation, storage, internet connectivity, etc.) |
Proportion of individuals who own a mobile telephone, disaggregated by sex
(Percentage)
Data Source:
Project and programme monitoring systemsÂ
Additional Information:
This indicator is appropriate if the Action will directly help increase the % of individuals in the target area who own a mobile phone. An individual owns a mobile cellular phone if he/she has a mobile cellular phone device with at least one active SIM card for personal use. Mobile cellular phones supplied by employers that can be used for personal reasons (to make personal calls, access the Internet, etc.) are included. Individuals who have only active SIM card(s) and not a mobile phone device are excluded. Individuals who have a mobile phone for personal use that is not registered under his/her name are also included. An active SIM card is a SIM card that has been used in the last threeÂ
months. Â
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| Result | Indicator(s) |
| Output: Strengthened agricultural and rural services available |
Number of HHs/productive units with access to veterinary services supported by the Action
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Number of households that have access and utilize veterinary services (A.I services, Immunization, disease treatment, e.t.c)
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Number of people with bankable business plans developed with support of the Action, disaggregated by sex, age and location
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator is linked with the provision of training and assistance aiming at improved knowledge of financial management (such as the knowledge required to prepare a business plan), considered as a pre-condition for the launch of new income generating activities/business.
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| Result | Indicator(s) |
| Output: Capacities of [*beneficiaries] for [*topic] developed |
Number of government personnel trained by the Action on FNS&SA-related topics, disaggregated by sex, age, institution, position and ethnicity when relevant
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: This indicator measures the number of personnel trained
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| Result | Indicator(s) |
| Output: Disaster Risk Reduction “DRR” plans developed |
Number of community-managed DRR committees established with Action support
(Numeric)
Data Source:
Project and programme monitoring systems
Additional Information:
Indicator Definition: DRR committees are group of people whose aims are to reduce the damage caused by natural hazards like earthquakes, floods, droughts and cyclones, through an ethic of prevention. This indicator measures the number of community managed Drought Response and Resilience committees that are developed and working
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased use of land, infrastructure, services and markets |
Smallholders’ agricultural exports (volume and value), disaggregated by type of animal or crop produce (meat, eggs, cereals)
(Numeric)
Data Source:
http://www.fao.org/economic/est/statistical-data/en/
Additional Information:
Indicator Definition: This indicator measures the access by smallholders to export markets i.e. the integration of smallholder farmers into high value chains. For this indicator, both data on volume and value are collected.
Method of Computation:  1) Volume of exported agricultural produce=   volume of exported crop product by type of crop,  volume of exported animal product by type of animal/ type of animal product; 2) Value sales of exported agricultural produce=  Volume of exported produce (by type of crop/type of animal produce) multiplied by unit price in Euros/ USD.
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| Result | Indicator(s) |
| Impact: To contribute to sustainable agriculture (PLANET) |
Forest area as a proportion of total land area ( SDG 15.1.1)
(Percentage)
Data Source:
Intervention M&E system
Additional Information:
Related to SDG 15.1.1
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| Result | Indicator(s) |
| Impact: To improve the population’s nutritional status (PEOPLE) |
Adolescent birth rate per 1,000 adolescents aged 15-19 years (Percentage) ( SDG3.7.2)
(Percentage)
Data Source:
Unites Nations - Open SDG Data Hub
Additional Information:
Related to SDG 3.7.2
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Universal Health Coverage (UHC) index (Score) ( SDG 3.8.1)
(numeric)
Data Source:
Universal Health Coverage (UHC) index
Additional Information:
Related to SDG 3.8.1
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| Result | Indicator(s) |
| Impact: To foster inclusive growth (PEOPLE, PROSPERITY) |
GERF 1.30/ SDG 6.1.1/ EURF 1.9 Proportion of population using safely managed drinking water services (OPSYS core indicator)
Data Source:
Intervention M&E system
Additional Information:
Related to SDG 6.1.1 |
Value added of agriculture as % of GDP (WDI data) (Percentage)
(Percentage)
Data Source:
WDI data
Additional Information:
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| Result | Indicator(s) |
| Specific Objective - Outcome: Increased use of land, infrastructure, services and markets |
GERF 2.1/ EURF 2.3 Number of smallholders reached with EU supported interventions aimed to increase their sustainable production, access to markets and/or security of land (OPSYS core indicator)
Data Source:
Intervention M&E system
Additional Information:
EU funded initiatives supporting smallholders’ capacities to engage in inclusive and sustainable agricultural growth by (i) developing their technical, organisational and management skills and practices to implement sustainable production techniques/methods; (ii) strengthening their organisations and their relationships with the private sector, researchers and governments; (iii) increasing their competitiveness, facilitating access to markets and exports and creating/enhancing links with other actors along the value chain; (iv) securing land tenure through a variety of approaches. The support can include different activities such as making knowledge available, strengthening capacities, empowerment, support to involvement in innovation platforms, promoting (technical, social, and organisational) innovations and increased competitiveness, good governance and security of land tenure and land use rights. It can be delivered through training, advisory services, extension services and support in the following areas: Advocacy capacity: strengthening smallholders' organisations capacities to actively participate in and influence policy dialogue relating to agricultural policies, rural transformation processes, and territorial dynamics. Technical: sustainable management of natural resources, agro-ecology, use of seeds and other inputs, post-harvest handling, pest and disease control, livestock development, sanitary and phytosanitary measures. Entrepreneurship and Business Development: processing of primary goods, food safety, marketing, contract negotiations, accounting and other non-financial services setting-up/strengthening of farmers organizations. Market access: access to markets through support to food certification systems, market information systems, warehouse receipt systems, farmers markets. Secure land tenure: formal titling, certification or registration, as well as securing customary tenure through appropriate legal frameworks that ensure that customary rights cannot be negated and that farmers cannot be arbitrarily dispossessed of their land. |
| Result | Indicator(s) |
| Specific Objective - Outcome: More sustainable and inclusive Natural Resource Management (NRM) |
GERF 2.9 Areas of terrestrial and freshwater ecosystems under (a) protection (b) sustainable management with EU support (km2) (OPSYS core indicator)
Data Source:
Intervention M&E system
Additional Information:
The indicator refers to the EU support for the creation and/or conservation of protected areas and the promotion of sustainable management measures in terrestrial and freshwater ecosystems, as measured in hectares under a) protection and b) sustainable management. What constitutes a protected area follows the definition proposed by the International Union for Conservation of Nature (IUCN): "a clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values". Examples of EU interventions in support of terrestrial and freshwater ecosystems under a) protection include:
Sustainable management practices aim at maintaining and enhancing terrestrial and freshwater ecosystems and the services they provide and ensuring their sustainable use. Examples of EU interventions in support of a) sustainable management of terrestrial and freshwater ecosystems include:
If sustainable management practices are in direct relation to productive agricultural or pastoral systems -as covered by SDG 2- they should be reported under EU RF indicator 2.4. This includes productive uses or activities such as agroforestry, apiculture and pastures managed for productive purposes. The same holds for the management of inland fisheries (e.g. control of fishing rights and practices, introduction of species, fish processing and trade). Where activities aim at SDG 15, i.e. the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems und their services, they will be covered by the present EU RF indicator. |
| Result | Indicator(s) |
| Specific Objective - Outcome: Improved hygiene, childcare and feeding practices |
Number of 1-year olds fully immunised with EU support (EU RF 2.5)
(numeric)
Data Source:
Intervention M&E system
Additional Information:
Number of infants who have received three doses of DPT (diphtheria, tetanus, pertussis/whooping cough) or three doses of pentavalent vaccine (= DT + Hepatitis B and Haemophilus influenza type b), by age 1 year with EU support.
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GERF 2.38/ EURF 2.8 Number of people with access to improved drinking water source and/or sanitation facility with EU support (OPSYS core indicators)
Data Source:
Intervention M&E system
Additional Information:
The WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation has proposed new drinking water and sanitation ‘ladders’ for the sustainable development goals (SDGs). These include different levels of service for water and sanitation. For the purpose of this indicator, we included the levels of: safely managed/ basic water / limited. Safely managed water is defined as drinking water source which is located on premises and available when needed; free of faecal and priority chemical contamination. Drinking water is defined as water for ingestion, basic personal and domestic hygiene and cooking. It excludes water for clothes washing, an activity that frequently happens at the water source, water point, in rivers or streams. Basic water is defined as a drinking water source with a total collection time of no more than 30 minutes for a roundtrip including queuing. Limited is defined as drinking water from an improved source for which collection time exceeds 30 minutes for a roundtrip including queuing. An improved drinking-water source is defined as one that, by nature of its construction or through active intervention, is protected from outside contamination, in particular from contamination with faecal matter. Improved facilities include piped water into dwelling; piped water into the yard/plot; public tap or standpipe; tube well or borehole; protected dug well; protected spring; and rainwater collection. The results are based on the number of water points built or rehabilitated multiplied by the number of beneficiaries per water point Safely managed sanitation is defined as a basic sanitation facility which is not shared with other households and where excreta is safely disposed in situ or transported or treated off-site. Basic sanitation is defined as a sanitation facility not shared with other households. Limited sanitation is defined as an otherwise improved sanitation facility shared with other households (except public toilets that are shared facilities but considered unimproved). Improved sanitation facilities are defined as toilets used by only one household meeting certain design standards that prevent human contact with faeces. These include flush/pour flush toilets or latrines connected to a sewer, septic tank, or pit, ventilated improved pit latrines, pit latrines with a slab or platform of any material which covers the pit entirely, except for the drop hole, and composting toilets/latrines. The results are based on the number of sanitation facilities constructed, rehabilitated or improved - in view of eliminating open defecation in communities – multiplied by the number of beneficiaries per facility. Only access related to fully constructed, rehabilitated or improved facilities which are operational at the time of reporting should be included. Temporary access related to emergency or humanitarian interventions are excluded. |