Results and Indicators
Result | Indicators |
---|---|
Impact
To foster inclusive growth
(PEOPLE, PROSPERITY) |
Value added of agriculture as % of GDP (WDI data) (Percentage)
(Percentage (%))
Data Source:
WDI data |
GERF 1.30/ SDG 6.1.1/ EURF 1.9 Proportion of population using safely managed drinking water services (OPSYS core indicator)
(Percentage (%))
Data Source:
Intervention M&E system
Additional Information
Related to SDG 6.1.1 |
|
Women’s Empowerment in Agriculture Index (WEAI) (OPSYS core indicator)
(Scores between 0-100)
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 |
|
Share of food expenditure as percentage of total household expenditure
(Percentage (%))
Data Source:
FAO Statistics Household Survey
Additional Information
Indicator Definition: |
|
Average hourly earnings of female and male employees, by occupation, age and persons with disabilities (SDG 8.5.1)
($/ hour)
Data Source:
Household surveys (LFS, HIES, LSMS, Integrated HH surveys, etc.),
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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Average annual household income, disaggregated by location (rural/urban), ethnicity when appropriate
(USD per capita at current prices and Purchasing Power Parity (PPP))
Data Source:
OECD (2018), Household disposable income (indicator)
Additional Information
Indicator Definition: E: employee income; Method of computation: |
|
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
Additional Information
This indicator is related to SDG 8.7.1 Age 5 to 11 years: At least 1 hour of economic work or 28 hours of 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); 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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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
Additional Information
Indicator Definition: |
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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
Additional Information
This indicator is related to SDG 8.5.2 |
|
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. |
Result | Indicators |
---|---|
Impact
To increase (systemic) resilience
to food crises and climate change (PEOPLE, PEACE) |
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 score)
Additional Information
Indicator Definition: |
Numbers of persons emigrating, where possible disaggregated by cause of displacement (by sex and age)
(Number of individuals)
Data Source:
Internal Displacement Monitoring Centre (iDMC) database
Additional Information
Indicator Definition: |
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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)
(Raw score (0-8), with lower raw scores corresponding to less severe food insecurity.)
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. |
|
Number of months of self-reported food insecurity (food gap)
(Number of months)
Data Source:
Project-commissioned survey
Additional Information
Indicator Definition: |
Result | Indicators |
---|---|
Impact
To improve the population’s
nutritional status (PEOPLE) |
Universal Health Coverage (UHC) index (Score) ( SDG 3.8.1)
(Score)
Data Source:
Universal Health Coverage (UHC) index
Additional Information
Related to SDG 3.8.1 |
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 |
|
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: |
|
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)
Additional Information
Indicator Definition: |
|
Prevalence of malnutrition among women of reproductive age and adolescent girls
(Percentage (%))
Data Source:
WHS: World Health Statistics
Additional Information
Indicator Definition: women, because inadequate nutrition has an impact not only on women's health but also on the health of their children; 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).           |
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SDG 2.2.2 Prevalence of malnutrition among children under 5 years of age (OPSYS core indicator)
(Percentage (%))
Data Source:
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. |