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Faroe Islands
Country code:
FRO
ISO2 code:
FO
ISO3 code:
FRO
WB Country Code:
FO
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of population ages 60+)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of male population ages 60+)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of female population ages 60+)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of population ages 15-59)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of male population ages 15-59)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of female population ages 15-59)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of population ages 5-14)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of male population ages 5-14)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of female population ages 5-14)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of population ages 0-4)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of male population ages 0-4)
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of female population ages 0-4)
Female share of graduates in Services programmes, tertiary (%)
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in unknown or unspecified fields, tertiary (%)
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in Health and Welfare programmes, tertiary (%)
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in Engineering, Manufacturing and Construction programmes, tertiary (%)
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Female share of graduates in Education programmes, tertiary (%)
Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Gross graduation ratio, primary, male (%)
Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Gross graduation ratio, primary, female (%)
Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
WPS 9673 - Death and Destitution : The Global Distribution of Welfare Losses from the COVID-19 Pandemic
Description:
The COVID-19 pandemic has brought about massive declines in well-being around the world. This paper seeks to quantify and compare two important components of those losses—increased mortality and higher poverty—using years of human life as a common metric. The paper estimates that almost 20 million life-years were lost to COVID-19 by December 2020. Over the same period and by the most conservative definition, more than 120 million additional years were spent in poverty because of the pandemic. The mortality burden, whether estimated in lives or years of life lost, increases sharply with...
Type:
Other
Mortality caused by road traffic injury (per 100,000 population)
Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Prevalence of stunting, height for age (modeled estimate, % of children under 5)
Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
Prevalence of overweight (modeled estimate, % of children under 5)
Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system.