Difference between revisions of "Sustainable development goals"
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|Metric | |Metric | ||
|A measure of the proportion of the population living below the international poverty line in percent from the SDG database by the UN. | |A measure of the proportion of the population living below the international poverty line in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population below international poverty line, female]] | |[[Proportion of population below international poverty line, female]] | ||
Line 23: | Line 23: | ||
|Metric | |Metric | ||
|A measure of the proportion of the female population living below the international poverty line in percent from the SDG database by the UN. | |A measure of the proportion of the female population living below the international poverty line in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population below international poverty line, male]] | |[[Proportion of population below international poverty line, male]] | ||
Line 31: | Line 31: | ||
|Metric | |Metric | ||
|A measure of the proportion of the male population living below the international poverty line in percent from the SDG database by the UN. | |A measure of the proportion of the male population living below the international poverty line in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population living below the national poverty line]] | |[[Proportion of population living below the national poverty line]] | ||
Line 39: | Line 39: | ||
|Metric | |Metric | ||
|A measure of the proportion of the population living below the national poverty line in percent from the SDG database by the UN. | |A measure of the proportion of the population living below the national poverty line in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population living in multidimensional poverty, bothsex]] | |[[Proportion of population living in multidimensional poverty, bothsex]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of the population living in multidimensional poverty in percent from the SDG database by the UN. | |A measure of the proportion of the population living in multidimensional poverty in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population living in multidimensional poverty, female]] | |[[Proportion of population living in multidimensional poverty, female]] | ||
Line 55: | Line 55: | ||
|Metric | |Metric | ||
|A measure of the proportion of the female population living in multidimensional poverty in percent from the SDG database by the UN. | |A measure of the proportion of the female population living in multidimensional poverty in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population living in multidimensional poverty, male]] | |[[Proportion of population living in multidimensional poverty, male]] | ||
Line 63: | Line 63: | ||
|Metric | |Metric | ||
|A measure of the proportion of the male population living in multidimensional poverty in percent from the SDG database by the UN. | |A measure of the proportion of the male population living in multidimensional poverty in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[ILO Proportion of mothers with newborns receiving maternity cash benefit]] | |[[ILO Proportion of mothers with newborns receiving maternity cash benefit]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of mothers with newborns receiving maternity cash benefit in percent from the SDG database by the UN. | |A measure of the proportion of mothers with newborns receiving maternity cash benefit in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[World Bank Proportion of population covered by social assistance programs]] | |[[World Bank Proportion of population covered by social assistance programs]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of the population covered by social assistance programs in percent from the SDG database by the UN. | |A measure of the proportion of the population covered by social assistance programs in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[ILO Proportion of unemployed persons receiving unemployment cash benefit, bothsex]] | |[[ILO Proportion of unemployed persons receiving unemployment cash benefit, bothsex]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of the unemployed persons receiving unemployment cash benefit in percent from the SDG database by the UN. | |A measure of the proportion of the unemployed persons receiving unemployment cash benefit in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[ILO Proportion of unemployed persons receiving unemployment cash benefit, female]] | |[[ILO Proportion of unemployed persons receiving unemployment cash benefit, female]] | ||
Line 95: | Line 95: | ||
|Metric | |Metric | ||
|A measure of the proportion of the unemployed female persons receiving unemployment cash benefit in percent from the SDG database by the UN. | |A measure of the proportion of the unemployed female persons receiving unemployment cash benefit in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[ILO Proportion of unemployed persons receiving unemployment cash benefit, male]] | |[[ILO Proportion of unemployed persons receiving unemployment cash benefit, male]] | ||
Line 103: | Line 103: | ||
|Metric | |Metric | ||
|A measure of the proportion of the unemployed male persons receiving unemployment cash benefit in percent from the SDG database by the UN. | |A measure of the proportion of the unemployed male persons receiving unemployment cash benefit in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population using basic drinking water services, by location]] | |[[Proportion of population using basic drinking water services, by location]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of the population using basic drinking water servicesin percent from the SDG database by the UN. | |A measure of the proportion of the population using basic drinking water servicesin percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of total government spending on essential services, health]] | |[[Proportion of total government spending on essential services, health]] | ||
Line 119: | Line 119: | ||
|Metric | |Metric | ||
|A measure of the proportion of the total government spending on essential services (health) in percent from the SDG database by the UN. | |A measure of the proportion of the total government spending on essential services (health) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of total government spending on essential services, social protection]] | |[[Proportion of total government spending on essential services, social protection]] | ||
Line 127: | Line 127: | ||
|Metric | |Metric | ||
|A measure of the proportion of the total government spending on essential services (social protection) in percent from the SDG database by the UN. | |A measure of the proportion of the total government spending on essential services (social protection) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Prevalence of undernourishment]] | |[[Prevalence of undernourishment]] | ||
Line 135: | Line 135: | ||
|Metric | |Metric | ||
|A measure of the proportion of the prevalence of undernourishment in percent from the SDG database by the UN. | |A measure of the proportion of the prevalence of undernourishment in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of children moderately or severely stunted]] | |[[Proportion of children moderately or severely stunted]] | ||
Line 143: | Line 143: | ||
|Metric | |Metric | ||
|A measure of the proportion of the children moderately or severely stunted in percent from the SDG database by the UN. | |A measure of the proportion of the children moderately or severely stunted in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of children moderately or severely wasted]] | |[[Proportion of children moderately or severely wasted]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of the children moderately or severely wasted in percent from the SDG database by the UN. | |A measure of the proportion of the children moderately or severely wasted in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Productivity of large-scale food producers (agricultural output per labour day, PPP) (constant 2017 international $)]] | |[[Productivity of large-scale food producers (agricultural output per labour day, PPP) (constant 2017 international $)]] | ||
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|Metric | |Metric | ||
|A measure of the productivity of large-scale food producers in constant 2017 international $ from the SDG database by the UN. | |A measure of the productivity of large-scale food producers in constant 2017 international $ from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of local breeds classified as being at risk of extinction as a share of local breeds with known level of extinction risk]] | |[[Proportion of local breeds classified as being at risk of extinction as a share of local breeds with known level of extinction risk]] | ||
Line 167: | Line 167: | ||
|Metric | |Metric | ||
|A measure of the proportion of local breeds classified as being at risk of extinction as a share of local breeds with known level of extinction risk in percent from the SDG database by the UN. | |A measure of the proportion of local breeds classified as being at risk of extinction as a share of local breeds with known level of extinction risk in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Agriculture orientation index for government expenditures]] | |[[Agriculture orientation index for government expenditures]] | ||
Line 175: | Line 175: | ||
|Metric | |Metric | ||
|A measure of the agriculture orientation index for government expenditures from the SDG database by the UN. | |A measure of the agriculture orientation index for government expenditures from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Agricultural export subsidies (millions of current United States dollars)]] | |[[Agricultural export subsidies (millions of current United States dollars)]] | ||
Line 183: | Line 183: | ||
|Metric | |Metric | ||
|A measure of the agricultural export subsidies in millions of current United States dollars from the SDG database by the UN. | |A measure of the agricultural export subsidies in millions of current United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Maternal mortality ratio]] | |[[Maternal mortality ratio]] | ||
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|Metric | |Metric | ||
|A measure of the maternal mortality ratio in deaths per 1000 live births from the SDG database by the UN. | |A measure of the maternal mortality ratio in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Under-five mortality rate, bothsex (deaths per 1,000 live births)]] | |[[Under-five mortality rate, bothsex (deaths per 1,000 live births)]] | ||
Line 199: | Line 199: | ||
|Metric | |Metric | ||
|A measure of the under-five mortality ratio (bothsex) in deaths per 1000 live births from the SDG database by the UN. | |A measure of the under-five mortality ratio (bothsex) in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Under-five mortality rate, female (deaths per 1,000 live births)]] | |[[Under-five mortality rate, female (deaths per 1,000 live births)]] | ||
Line 207: | Line 207: | ||
|Metric | |Metric | ||
|A measure of the under-five mortality ratio (female) in deaths per 1000 live births from the SDG database by the UN. | |A measure of the under-five mortality ratio (female) in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Under-five mortality rate, male (deaths per 1,000 live births)]] | |[[Under-five mortality rate, male (deaths per 1,000 live births)]] | ||
Line 215: | Line 215: | ||
|Metric | |Metric | ||
|A measure of the under-five mortality ratio (male) in deaths per 1000 live births from the SDG database by the UN. | |A measure of the under-five mortality ratio (male) in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Infant mortality rate (deaths per 1,000 live births)]] | |[[Infant mortality rate (deaths per 1,000 live births)]] | ||
Line 223: | Line 223: | ||
|Metric | |Metric | ||
|A measure of the infant mortality ratio (bothsex) in deaths per 1000 live births from the SDG database by the UN. | |A measure of the infant mortality ratio (bothsex) in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Infant mortality rate, female (deaths per 1,000 live births)]] | |[[Infant mortality rate, female (deaths per 1,000 live births)]] | ||
Line 231: | Line 231: | ||
|Metric | |Metric | ||
|A measure of the infant mortality ratio (female) in deaths per 1000 live births from the SDG database by the UN. | |A measure of the infant mortality ratio (female) in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Infant mortality rate, male (deaths per 1,000 live births)]] | |[[Infant mortality rate, male (deaths per 1,000 live births)]] | ||
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|Metric | |Metric | ||
|A measure of the infant mortality ratio (male) in deaths per 1000 live births from the SDG database by the UN. | |A measure of the infant mortality ratio (male) in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Neonatal mortality rate (deaths per 1,000 live births)]] | |[[Neonatal mortality rate (deaths per 1,000 live births)]] | ||
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|Metric | |Metric | ||
|A measure of the neonatal mortality ratio in deaths per 1000 live births from the SDG database by the UN. | |A measure of the neonatal mortality ratio in deaths per 1000 live births from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Tuberculosis incidence (per 100,000 population)]] | |[[Tuberculosis incidence (per 100,000 population)]] | ||
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|Metric | |Metric | ||
|A measure of the tuberculosis incidence per 100000 population from the SDG database by the UN. | |A measure of the tuberculosis incidence per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), bothsex]] | |[[Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), bothsex]] | ||
Line 263: | Line 263: | ||
|Metric | |Metric | ||
|A measure of the mortality rate (bothsex) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | |A measure of the mortality rate (bothsex) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), female]] | |[[Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), female]] | ||
Line 271: | Line 271: | ||
|Metric | |Metric | ||
|A measure of the mortality rate (female) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | |A measure of the mortality rate (female) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), male]] | |[[Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), male]] | ||
Line 279: | Line 279: | ||
|Metric | |Metric | ||
|A measure of the mortality rate (male) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | |A measure of the mortality rate (male) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Suicide mortality rate, bothsex (deaths per 100,000 population)]] | |[[Suicide mortality rate, bothsex (deaths per 100,000 population)]] | ||
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|Metric | |Metric | ||
|A measure of the suicide mortality rate (bothsex) in deaths per 100000 population from the SDG database by the UN. | |A measure of the suicide mortality rate (bothsex) in deaths per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Suicide mortality rate, female (deaths per 100,000 population)]] | |[[Suicide mortality rate, female (deaths per 100,000 population)]] | ||
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|Metric | |Metric | ||
|A measure of the suicide female mortality rate in deaths per 100000 population from the SDG database by the UN. | |A measure of the suicide female mortality rate in deaths per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Suicide mortality rate, male (deaths per 100,000 population)]] | |[[Suicide mortality rate, male (deaths per 100,000 population)]] | ||
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|Metric | |Metric | ||
|A measure of the suicide male mortality rate in deaths per 100000 population from the SDG database by the UN. | |A measure of the suicide male mortality rate in deaths per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods ( of women aged 15-49 years)]] | |[[Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods ( of women aged 15-49 years)]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods in percent from the SDG database by the UN. | |A measure of the proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Universal health coverage (UHC) service coverage index]] | |[[Universal health coverage (UHC) service coverage index]] | ||
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|Metric | |Metric | ||
|A measure of the universal health coverage service coverage (index) from the SDG database by the UN. | |A measure of the universal health coverage service coverage (index) from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population with large household expenditures on health (greater than 25) as a share of total household expenditure or income]] | |[[Proportion of population with large household expenditures on health (greater than 25) as a share of total household expenditure or income]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of population with large household expenditures on health (greater than 25%) as a share of total household expenditure or income in percent from the SDG database by the UN. | |A measure of the proportion of population with large household expenditures on health (greater than 25%) as a share of total household expenditure or income in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Age-standardized mortality rate attributed to household air pollution (deaths per 100,000 population)]] | |[[Age-standardized mortality rate attributed to household air pollution (deaths per 100,000 population)]] | ||
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|Metric | |Metric | ||
|A measure of the age-standardized mortality rate attributed to household air pollution in deaths per 100000 population from the SDG database by the UN. | |A measure of the age-standardized mortality rate attributed to household air pollution in deaths per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official development assistance to medical research and basic health sectors, net disbursement, by recipient countries (millions of constant 2022 United States dollars)]] | |[[Total official development assistance to medical research and basic health sectors, net disbursement, by recipient countries (millions of constant 2022 United States dollars)]] | ||
Line 343: | Line 343: | ||
|Metric | |Metric | ||
|A measure of the total official development assistance to medical research and basic health sectors in millions of constant 2022 United States dollars from the SDG database by the UN. | |A measure of the total official development assistance to medical research and basic health sectors in millions of constant 2022 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), bothsex]] | |[[Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), bothsex]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of children aged 36-59 months (bothsex) who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | |A measure of the proportion of children aged 36-59 months (bothsex) who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), female]] | |[[Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), female]] | ||
Line 359: | Line 359: | ||
|Metric | |Metric | ||
|A measure of the proportion of female children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | |A measure of the proportion of female children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), male]] | |[[Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), male]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of male children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | |A measure of the proportion of male children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age), (ratio)]] | |[[Adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age), (ratio)]] | ||
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|Metric | |Metric | ||
|A measure of the adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age) as a ratio percent from the SDG database by the UN. | |A measure of the adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age) as a ratio percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official flows for scholarships, by recipient countries (millions of constant 2022 United States dollars)]] | |[[Total official flows for scholarships, by recipient countries (millions of constant 2022 United States dollars)]] | ||
Line 383: | Line 383: | ||
|Metric | |Metric | ||
|A measure of the total official flows for scholarships in millions of constant 2022 united states dollars from the SDG database by the UN. | |A measure of the total official flows for scholarships in millions of constant 2022 united states dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age]] | |[[Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months in percent from the SDG database by the UN. | |A measure of the proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of seats held by women in national parliaments ( of total number of seats)]] | |[[Proportion of seats held by women in national parliaments ( of total number of seats)]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of seats held by women in national parliaments in percent of total number of seats from the SDG database by the UN. | |A measure of the proportion of seats held by women in national parliaments in percent of total number of seats from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population using safely managed drinking water services, by urban/rural]] | |[[Proportion of population using safely managed drinking water services, by urban/rural]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of population using safely managed drinking water services in percent from the SDG database by the UN. | |A measure of the proportion of population using safely managed drinking water services in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population using safely managed sanitation services, by urban/rural]] | |[[Proportion of population using safely managed sanitation services, by urban/rural]] | ||
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|Metric | |Metric | ||
|A measure of the proportion of population using safely managed sanitation service in percent from the SDG database by the UN. | |A measure of the proportion of population using safely managed sanitation service in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Water Use Efficiency (United States dollars per cubic meter)]] | |[[Water Use Efficiency (United States dollars per cubic meter)]] | ||
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|Metric | |Metric | ||
|A measure of the water use fficiency in United States dollars per cubic meter from the SDG database by the UN. | |A measure of the water use fficiency in United States dollars per cubic meter from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Level of water stress: freshwater withdrawal as a proportion of available freshwater resources]] | |[[Level of water stress: freshwater withdrawal as a proportion of available freshwater resources]] | ||
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|Metric | |Metric | ||
|A measure of the level of water stress: freshwater withdrawal as a proportion of available freshwater resource in percent from the SDG database by the UN. | |A measure of the level of water stress: freshwater withdrawal as a proportion of available freshwater resource in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation]] | |[[Proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation]] | ||
Line 439: | Line 439: | ||
|Metric | |Metric | ||
|A measure of the proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation in percent from the SDG database by the UN. | |A measure of the proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official development assistance (gross disbursement) for water supply and sanitation, by recipient countries (millions of constant 2022 United States dollars)]] | |[[Total official development assistance (gross disbursement) for water supply and sanitation, by recipient countries (millions of constant 2022 United States dollars)]] | ||
Line 447: | Line 447: | ||
|Metric | |Metric | ||
|A measure of the total official development assistance (gross disbursement) for water supply and sanitation in millions of constant 2022 United States dollars from the SDG database by the UN. | |A measure of the total official development assistance (gross disbursement) for water supply and sanitation in millions of constant 2022 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population with access to electricity, by urban/rural]] | |[[Proportion of population with access to electricity, by urban/rural]] | ||
Line 455: | Line 455: | ||
|Metric | |Metric | ||
|A measure of the proportion of population with access to electricity in percent from the SDG database by the UN. | |A measure of the proportion of population with access to electricity in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Renewable energy share in the total final energy consumption]] | |[[Renewable energy share in the total final energy consumption]] | ||
Line 463: | Line 463: | ||
|Metric | |Metric | ||
|A measure of the renewable energy share in the total final energy consumption in percent from the SDG database by the UN. | |A measure of the renewable energy share in the total final energy consumption in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[International financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems (millions of constant 2021 United States dollars)]] | |[[International financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems (millions of constant 2021 United States dollars)]] | ||
Line 471: | Line 471: | ||
|Metric | |Metric | ||
|A measure of the international financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems in millions of constant 2021 United States dollars from the SDG database by the UN. | |A measure of the international financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems in millions of constant 2021 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Annual growth rate of real GDP per capita]] | |[[Annual growth rate of real GDP per capita]] | ||
Line 479: | Line 479: | ||
|Metric | |Metric | ||
|A measure of the annual growth rate of real GDP per capita in percent from the SDG database by the UN. | |A measure of the annual growth rate of real GDP per capita in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Annual growth rate of real GDP per employed person]] | |[[Annual growth rate of real GDP per employed person]] | ||
Line 487: | Line 487: | ||
|Metric | |Metric | ||
|A measure of the annual growth rate of real GDP per employed person in percent from the SDG database by the UN. | |A measure of the annual growth rate of real GDP per employed person in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Unemployment rate, by sex and age - 19th ICLS]] | |[[Unemployment rate, by sex and age - 19th ICLS]] | ||
Line 495: | Line 495: | ||
|Metric | |Metric | ||
|A measure of the unemployment rate in percent from the SDG database by the UN. | |A measure of the unemployment rate in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation]] | |[[Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation]] | ||
Line 503: | Line 503: | ||
|Metric | |Metric | ||
|A measure of the level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation from the SDG database by the UN. | |A measure of the level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of automated teller machines (ATMs) per 100,000 adults]] | |[[Number of automated teller machines (ATMs) per 100,000 adults]] | ||
Line 511: | Line 511: | ||
|Metric | |Metric | ||
|A measure of the number of automated teller machines (ATMs) per 100000 adults from the SDG database by the UN. | |A measure of the number of automated teller machines (ATMs) per 100000 adults from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2022 United States dollars)]] | |[[Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2022 United States dollars)]] | ||
Line 519: | Line 519: | ||
|Metric | |Metric | ||
|A measure of the total official flows (commitments) for Aid for Trade, by donor countries in millions of constant 2022 United States dollars from the SDG database by the UN. | |A measure of the total official flows (commitments) for Aid for Trade, by donor countries in millions of constant 2022 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2022 United States dollars)]] | |[[Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2022 United States dollars)]] | ||
Line 527: | Line 527: | ||
|Metric | |Metric | ||
|A measure of the total official flows (commitments) for Aid for Trade, by recipient countries in millions of constant 2022 United States dollars from the SDG database by the UN. | |A measure of the total official flows (commitments) for Aid for Trade, by recipient countries in millions of constant 2022 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Manufacturing value added per capita (constant 2015 United States dollars)]] | |[[Manufacturing value added per capita (constant 2015 United States dollars)]] | ||
Line 535: | Line 535: | ||
|Metric | |Metric | ||
|A measure of the manufacturing value added per capita in constant 2015 United States dollars from the SDG database by the UN. | |A measure of the manufacturing value added per capita in constant 2015 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Manufacturing employment as a proportion of total employment - 19th ICLS]] | |[[Manufacturing employment as a proportion of total employment - 19th ICLS]] | ||
Line 543: | Line 543: | ||
|Metric | |Metric | ||
|A measure of the manufacturing employment as a proportion of total employment in percent from the SDG database by the UN. | |A measure of the manufacturing employment as a proportion of total employment in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of small-scale manufacturing industries in total manufacturing value added]] | |[[Proportion of small-scale manufacturing industries in total manufacturing value added]] | ||
Line 551: | Line 551: | ||
|Metric | |Metric | ||
|A measure of the proportion of small-scale manufacturing industries in total manufacturing value added in percent from the SDG database by the UN. | |A measure of the proportion of small-scale manufacturing industries in total manufacturing value added in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Carbon dioxide emissions from fuel combustion (millions of tonnes)]] | |[[Carbon dioxide emissions from fuel combustion (millions of tonnes)]] | ||
Line 559: | Line 559: | ||
|Metric | |Metric | ||
|A measure of the carbon dioxide emissions from fuel combustion in millions of tonnes from the SDG database by the UN. | |A measure of the carbon dioxide emissions from fuel combustion in millions of tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Research and development expenditure as a proportion of GDP]] | |[[Research and development expenditure as a proportion of GDP]] | ||
Line 567: | Line 567: | ||
|Metric | |Metric | ||
|A measure of the research and development expenditure as a proportion of GDP in percent from the SDG database by the UN. | |A measure of the research and development expenditure as a proportion of GDP in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official flows for infrastructure, by recipient countries (millions of constant 2022 United States dollars)]] | |[[Total official flows for infrastructure, by recipient countries (millions of constant 2022 United States dollars)]] | ||
Line 575: | Line 575: | ||
|Metric | |Metric | ||
|A measure of the total official flows for infrastructure, by recipient countries in millions of constant 2022 United States dollars from the SDG database by the UN. | |A measure of the total official flows for infrastructure, by recipient countries in millions of constant 2022 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population covered by at least a 2G mobile network]] | |[[Proportion of population covered by at least a 2G mobile network]] | ||
Line 583: | Line 583: | ||
|Metric | |Metric | ||
|A measure of the proportion of population covered by at least a 2G mobile network in percent from the SDG database by the UN. | |A measure of the proportion of population covered by at least a 2G mobile network in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population covered by at least a 4G mobile network]] | |[[Proportion of population covered by at least a 4G mobile network]] | ||
Line 591: | Line 591: | ||
|Metric | |Metric | ||
|A measure of the proportion of population covered by at least a 4G mobile network in percent from the SDG database by the UN. | |A measure of the proportion of population covered by at least a 4G mobile network in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of people living below 50 percent of median income]] | |[[Proportion of people living below 50 percent of median income]] | ||
Line 599: | Line 599: | ||
|Metric | |Metric | ||
|A measure of the proportion of people living below 50 percent of median income in percent from the SDG database by the UN. | |A measure of the proportion of people living below 50 percent of median income in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Labour share of GDP]] | |[[Labour share of GDP]] | ||
Line 607: | Line 607: | ||
|Metric | |Metric | ||
|A measure of the labour share of GDP in percent from the SDG database by the UN. | |A measure of the labour share of GDP in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Non-performing loans to total gross loans]] | |[[Non-performing loans to total gross loans]] | ||
Line 615: | Line 615: | ||
|Metric | |Metric | ||
|A measure of the non-performing loans to total gross loans in percent from the SDG database by the UN. | |A measure of the non-performing loans to total gross loans in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total deaths and disappearances recorded during migration (number)]] | |[[Total deaths and disappearances recorded during migration (number)]] | ||
Line 623: | Line 623: | ||
|Metric | |Metric | ||
|A measure of the number of total deaths and disappearances recorded during migration from the SDG database by the UN. | |A measure of the number of total deaths and disappearances recorded during migration from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted]] | |[[Average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted]] | ||
Line 631: | Line 631: | ||
|Metric | |Metric | ||
|A measure of the average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted in percent from the SDG database by the UN. | |A measure of the average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Average remittance costs of sending $200 for a sending country as a proportion of the amount remitted]] | |[[Average remittance costs of sending $200 for a sending country as a proportion of the amount remitted]] | ||
Line 639: | Line 639: | ||
|Metric | |Metric | ||
|A measure of the average remittance costs of sending $200 for a sending country as a proportion of the amount remitted in percent from the SDG database by the UN. | |A measure of the average remittance costs of sending $200 for a sending country as a proportion of the amount remitted in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of damaged critical infrastructure attributed to disasters (number)]] | |[[Number of damaged critical infrastructure attributed to disasters (number)]] | ||
Line 647: | Line 647: | ||
|Metric | |Metric | ||
|A measure of the number of damaged critical infrastructure attributed to disasters from the SDG database by the UN. | |A measure of the number of damaged critical infrastructure attributed to disasters from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of disruptions to basic services attributed to disasters (number)]] | |[[Number of disruptions to basic services attributed to disasters (number)]] | ||
Line 655: | Line 655: | ||
|Metric | |Metric | ||
|A measure of the number of disruptions to basic services attributed to disasters from the SDG database by the UN. | |A measure of the number of disruptions to basic services attributed to disasters from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Food waste per capita (KG)]] | |[[Food waste per capita (KG)]] | ||
Line 663: | Line 663: | ||
|Metric | |Metric | ||
|A measure of the food waste per capita in kg from the SDG database by the UN. | |A measure of the food waste per capita in kg from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Parties meeting their commitments and obligations in transmitting information as required by Montreal Protocol on hazardous waste, and other chemicals]] | |[[Parties meeting their commitments and obligations in transmitting information as required by Montreal Protocol on hazardous waste, and other chemicals]] | ||
Line 671: | Line 671: | ||
|Metric | |Metric | ||
|A measure of the parties meeting their commitments and obligations in transmitting information as required by Montreal Protocol on hazardous waste, and other chemicals in percent from the SDG database by the UN. | |A measure of the parties meeting their commitments and obligations in transmitting information as required by Montreal Protocol on hazardous waste, and other chemicals in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Electronic waste generated, per capita (Kg)]] | |[[Electronic waste generated, per capita (Kg)]] | ||
Line 679: | Line 679: | ||
|Metric | |Metric | ||
|A measure of the electronic waste generated per capita in kg from the SDG database by the UN. | |A measure of the electronic waste generated per capita in kg from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Hazardous waste generated, per capita (Kg)]] | |[[Hazardous waste generated, per capita (Kg)]] | ||
Line 687: | Line 687: | ||
|Metric | |Metric | ||
|A measure of the hazardous waste generated per capita in kg from the SDG database by the UN. | |A measure of the hazardous waste generated per capita in kg from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Hazardous waste treated or disposed (Tonnes)]] | |[[Hazardous waste treated or disposed (Tonnes)]] | ||
Line 695: | Line 695: | ||
|Metric | |Metric | ||
|A measure of the hazardous waste treated or disposed in tonnes from the SDG database by the UN. | |A measure of the hazardous waste treated or disposed in tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Municipal waste generated (Tonnes)]] | |[[Municipal waste generated (Tonnes)]] | ||
Line 703: | Line 703: | ||
|Metric | |Metric | ||
|A measure of the municipal waste generated in tonnes from the SDG database by the UN. | |A measure of the municipal waste generated in tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total waste generation, by activity (Tonnes)]] | |[[Total waste generation, by activity (Tonnes)]] | ||
Line 711: | Line 711: | ||
|Metric | |Metric | ||
|A measure of the total waste generation in tonnes from the SDG database by the UN. | |A measure of the total waste generation in tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Electronic waste recycled (Tonnes)]] | |[[Electronic waste recycled (Tonnes)]] | ||
Line 719: | Line 719: | ||
|Metric | |Metric | ||
|A measure of the electronic waste recycled in tonnes from the SDG database by the UN. | |A measure of the electronic waste recycled in tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Municipal waste recycled (Tonnes)]] | |[[Municipal waste recycled (Tonnes)]] | ||
Line 727: | Line 727: | ||
|Metric | |Metric | ||
|A measure of the municipal waste recycled in tonnes from the SDG database by the UN. | |A measure of the municipal waste recycled in tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of companies publishing sustainability reports with disclosure by dimension, by level of requirement (Number)]] | |[[Number of companies publishing sustainability reports with disclosure by dimension, by level of requirement (Number)]] | ||
Line 735: | Line 735: | ||
|Metric | |Metric | ||
|A measure of the number of companies publishing sustainability reports with disclosure from the SDG database by the UN. | |A measure of the number of companies publishing sustainability reports with disclosure from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Implementation of standard accounting tools to monitor the economic and environmental aspects of tourism (number of tables)]] | |[[Implementation of standard accounting tools to monitor the economic and environmental aspects of tourism (number of tables)]] | ||
Line 743: | Line 743: | ||
|Metric | |Metric | ||
|A measure of the implementation of standard accounting tools to monitor the economic and environmental aspects of tourism in number of tables from the SDG database by the UN. | |A measure of the implementation of standard accounting tools to monitor the economic and environmental aspects of tourism in number of tables from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Fossil-fuel subsidies (consumption and production) as a proportion of total GDP]] | |[[Fossil-fuel subsidies (consumption and production) as a proportion of total GDP]] | ||
Line 751: | Line 751: | ||
|Metric | |Metric | ||
|A measure of the fossil-fuel subsidies (consumption and production) as a proportion of total GDP in percent from the SDG database by the UN. | |A measure of the fossil-fuel subsidies (consumption and production) as a proportion of total GDP in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total greenhouse gas emissions without LULUCF for Annex I Parties (Mt CO2 equivalent)]] | |[[Total greenhouse gas emissions without LULUCF for Annex I Parties (Mt CO2 equivalent)]] | ||
Line 759: | Line 759: | ||
|Metric | |Metric | ||
|A measure of the total greenhouse gas emissions without LULUCF for Annex I Parties in Mt CO2 equivalent from the SDG database by the UN. | |A measure of the total greenhouse gas emissions without LULUCF for Annex I Parties in Mt CO2 equivalent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total greenhouse gas emissions without LULUCF for non-Annex I Parties (Mt CO2 equivalent)]] | |[[Total greenhouse gas emissions without LULUCF for non-Annex I Parties (Mt CO2 equivalent)]] | ||
Line 767: | Line 767: | ||
|Metric | |Metric | ||
|A measure of the total greenhouse gas emissions without LULUCF for non-Annex I Parties in Mt CO2 equivalent from the SDG database by the UN. | |A measure of the total greenhouse gas emissions without LULUCF for non-Annex I Parties in Mt CO2 equivalent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Beach litter originating from national land-based sources that ends in the ocean]] | |[[Beach litter originating from national land-based sources that ends in the ocean]] | ||
Line 775: | Line 775: | ||
|Metric | |Metric | ||
|A measure of the beach litter originating from national land-based sources that ends in the ocean in percent from the SDG database by the UN. | |A measure of the beach litter originating from national land-based sources that ends in the ocean in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Beach litter originating from national land-based sources that ends in the ocean (Tonnes)]] | |[[Beach litter originating from national land-based sources that ends in the ocean (Tonnes)]] | ||
Line 783: | Line 783: | ||
|Metric | |Metric | ||
|A measure of the beach litter originating from national land-based sources that ends in the ocean in tonnes from the SDG database by the UN. | |A measure of the beach litter originating from national land-based sources that ends in the ocean in tonnes from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of fish stocks within biologically sustainable levels (not overexploited)]] | |[[Proportion of fish stocks within biologically sustainable levels (not overexploited)]] | ||
Line 791: | Line 791: | ||
|Metric | |Metric | ||
|A measure of the proportion of fish stocks within biologically sustainable levels (not overexploited) in percent from the SDG database by the UN. | |A measure of the proportion of fish stocks within biologically sustainable levels (not overexploited) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas]] | |[[Average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas]] | ||
Line 799: | Line 799: | ||
|Metric | |Metric | ||
|A measure of the average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | |A measure of the average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Progress by countries in the degree of implementation of international instruments aiming to combat illegal, unreported and unregulated fishing (level of implementation: 1 lowest to 5 highest)]] | |[[Progress by countries in the degree of implementation of international instruments aiming to combat illegal, unreported and unregulated fishing (level of implementation: 1 lowest to 5 highest)]] | ||
Line 807: | Line 807: | ||
|Ordinal | |Ordinal | ||
|A measure of the progress by countries in the degree of implementation of international instruments aiming to combat illegal, unreported and unregulated fishing from the SDG database by the UN. | |A measure of the progress by countries in the degree of implementation of international instruments aiming to combat illegal, unreported and unregulated fishing from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[National ocean science expenditure as a share of total research and development funding]] | |[[National ocean science expenditure as a share of total research and development funding]] | ||
Line 815: | Line 815: | ||
|Metric | |Metric | ||
|A measure of the national ocean science expenditure as a share of total research and development funding in percent from the SDG database by the UN. | |A measure of the national ocean science expenditure as a share of total research and development funding in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Land area (thousands of hectares)]] | |[[Land area (thousands of hectares)]] | ||
Line 823: | Line 823: | ||
|Metric | |Metric | ||
|A measure of the land area in thousands of hectares from the SDG database by the UN. | |A measure of the land area in thousands of hectares from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Forest area as a proportion of total land area]] | |[[Forest area as a proportion of total land area]] | ||
Line 831: | Line 831: | ||
|Metric | |Metric | ||
|A measure of the forest area as a proportion of total land area in percent from the SDG database by the UN. | |A measure of the forest area as a proportion of total land area in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas]] | |[[Average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas]] | ||
Line 839: | Line 839: | ||
|Metric | |Metric | ||
|A measure of the average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | |A measure of the average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas]] | |[[Average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas]] | ||
Line 847: | Line 847: | ||
|Metric | |Metric | ||
|A measure of the average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | |A measure of the average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Forest area certified under an independently verified certification scheme (thousands of hectares)]] | |[[Forest area certified under an independently verified certification scheme (thousands of hectares)]] | ||
Line 855: | Line 855: | ||
|Metric | |Metric | ||
|A measure of the forest area certified under an independently verified certification scheme in thousands of hectares from the SDG database by the UN. | |A measure of the forest area certified under an independently verified certification scheme in thousands of hectares from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of land that is degraded over total land area]] | |[[Proportion of land that is degraded over total land area]] | ||
Line 863: | Line 863: | ||
|Metric | |Metric | ||
|A measure of the proportion of land that is degraded over total land area in percent from the SDG database by the UN. | |A measure of the proportion of land that is degraded over total land area in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas]] | |[[Average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas]] | ||
Line 871: | Line 871: | ||
|Metric | |Metric | ||
|A measure of the average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | |A measure of the average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Red List Index]] | |[[Red List Index]] | ||
Line 879: | Line 879: | ||
|Metric | |Metric | ||
|A measure of the Red List Index from the SDG database by the UN. | |A measure of the Red List Index from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country (number)]] | |[[Total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country (number)]] | ||
Line 887: | Line 887: | ||
|Metric | |Metric | ||
|A measure of the total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country from the SDG database by the UN. | |A measure of the total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species (1 = YES, 0 = NO)]] | |[[Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species (1 = YES, 0 = NO)]] | ||
Line 895: | Line 895: | ||
|Binary | |Binary | ||
|A measure of the Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species from the SDG database by the UN. | |A measure of the Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 (1 = YES, 0 = NO)]] | |[[National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 (1 = YES, 0 = NO)]] | ||
Line 903: | Line 903: | ||
|Binary | |Binary | ||
|A measure of the National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 from the SDG database by the UN. | |A measure of the National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of victims of intentional homicide per 100,000 population, bothsex (victims per 100,000 population)]] | |[[Number of victims of intentional homicide per 100,000 population, bothsex (victims per 100,000 population)]] | ||
Line 911: | Line 911: | ||
|Metric | |Metric | ||
|A measure of the number of victims of intentional homicide per 100000 population (bothsex) in victims per 100000 population from the SDG database by the UN. | |A measure of the number of victims of intentional homicide per 100000 population (bothsex) in victims per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of victims of intentional homicide per 100,000 population, female (victims per 100,000 population)]] | |[[Number of victims of intentional homicide per 100,000 population, female (victims per 100,000 population)]] | ||
Line 919: | Line 919: | ||
|Metric | |Metric | ||
|A measure of the number of victims of intentional homicide per 100000 population (female) in victims per 100000 population from the SDG database by the UN. | |A measure of the number of victims of intentional homicide per 100000 population (female) in victims per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of victims of intentional homicide per 100,000 population, male (victims per 100,000 population)]] | |[[Number of victims of intentional homicide per 100,000 population, male (victims per 100,000 population)]] | ||
Line 927: | Line 927: | ||
|Metric | |Metric | ||
|A measure of the number of victims of intentional homicide per 100000 population (male) in victims per 100000 population from the SDG database by the UN. | |A measure of the number of victims of intentional homicide per 100000 population (male) in victims per 100000 population from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population subjected to physical violence in the previous 12 months, bothsex]] | |[[Proportion of population subjected to physical violence in the previous 12 months, bothsex]] | ||
Line 935: | Line 935: | ||
|Metric | |Metric | ||
|A measure of the proportion of population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | |A measure of the proportion of population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population subjected to physical violence in the previous 12 months, female]] | |[[Proportion of population subjected to physical violence in the previous 12 months, female]] | ||
Line 943: | Line 943: | ||
|Metric | |Metric | ||
|A measure of the proportion of the female population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | |A measure of the proportion of the female population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population subjected to physical violence in the previous 12 months, male]] | |[[Proportion of population subjected to physical violence in the previous 12 months, male]] | ||
Line 951: | Line 951: | ||
|Metric | |Metric | ||
|A measure of the proportion of the male population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | |A measure of the proportion of the male population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population subjected to robbery in the previous 12 months, bothsex]] | |[[Proportion of population subjected to robbery in the previous 12 months, bothsex]] | ||
Line 959: | Line 959: | ||
|Metric | |Metric | ||
|A measure of the proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | |A measure of the proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population subjected to robbery in the previous 12 months, female]] | |[[Proportion of population subjected to robbery in the previous 12 months, female]] | ||
Line 967: | Line 967: | ||
|Metric | |Metric | ||
|A measure of the female proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | |A measure of the female proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of population subjected to robbery in the previous 12 months, male]] | |[[Proportion of population subjected to robbery in the previous 12 months, male]] | ||
Line 975: | Line 975: | ||
|Metric | |Metric | ||
|A measure of the male proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | |A measure of the male proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Detected victims of human trafficking, by age and sex (number), bothsex]] | |[[Detected victims of human trafficking, by age and sex (number), bothsex]] | ||
Line 983: | Line 983: | ||
|Metric | |Metric | ||
|A measure of the number of detected victims of human trafficking from the SDG database by the UN. | |A measure of the number of detected victims of human trafficking from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Detected victims of human trafficking, by age and sex (number), female]] | |[[Detected victims of human trafficking, by age and sex (number), female]] | ||
Line 991: | Line 991: | ||
|Metric | |Metric | ||
|A measure of the number of detected female victims of human trafficking from the SDG database by the UN. | |A measure of the number of detected female victims of human trafficking from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Detected victims of human trafficking, by age and sex (number), male]] | |[[Detected victims of human trafficking, by age and sex (number), male]] | ||
Line 999: | Line 999: | ||
|Metric | |Metric | ||
|A measure of the number of detected male victims of human trafficking from the SDG database by the UN. | |A measure of the number of detected male victims of human trafficking from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Police reporting rate for physical assault in the previous 12 months, bothsex]] | |[[Police reporting rate for physical assault in the previous 12 months, bothsex]] | ||
Line 1,007: | Line 1,007: | ||
|Metric | |Metric | ||
|A measure of the police reporting rate for physical assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | |A measure of the police reporting rate for physical assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Police reporting rate for physical assault in the previous 12 months, female]] | |[[Police reporting rate for physical assault in the previous 12 months, female]] | ||
Line 1,015: | Line 1,015: | ||
|Metric | |Metric | ||
|A measure of the police reporting rate for physical assault (female) in the previous 12 months in percent from the SDG database by the UN. | |A measure of the police reporting rate for physical assault (female) in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Police reporting rate for physical assault in the previous 12 months, male]] | |[[Police reporting rate for physical assault in the previous 12 months, male]] | ||
Line 1,023: | Line 1,023: | ||
|Metric | |Metric | ||
|A measure of the police reporting rate for physical assault (male) in the previous 12 months in percent from the SDG database by the UN. | |A measure of the police reporting rate for physical assault (male) in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Police reporting rate for sexual assault in the previous 12 months, bothsex]] | |[[Police reporting rate for sexual assault in the previous 12 months, bothsex]] | ||
Line 1,031: | Line 1,031: | ||
|Metric | |Metric | ||
|A measure of the police reporting rate for sexual assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | |A measure of the police reporting rate for sexual assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Police reporting rate for robbery in the previous 12 months, bothsex]] | |[[Police reporting rate for robbery in the previous 12 months, bothsex]] | ||
Line 1,039: | Line 1,039: | ||
|Metric | |Metric | ||
|A measure of the police reporting rate for sexual assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | |A measure of the police reporting rate for sexual assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Unsentenced detainees as a proportion of overall prison population, bothsex]] | |[[Unsentenced detainees as a proportion of overall prison population, bothsex]] | ||
Line 1,047: | Line 1,047: | ||
|Metric | |Metric | ||
|A measure of the unsentenced detainees as a proportion of overall prison population (bothsex) in percent from the SDG database by the UN. | |A measure of the unsentenced detainees as a proportion of overall prison population (bothsex) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Unsentenced detainees as a proportion of overall prison population, female]] | |[[Unsentenced detainees as a proportion of overall prison population, female]] | ||
Line 1,055: | Line 1,055: | ||
|Metric | |Metric | ||
|A measure of the unsentenced detainees as a proportion of overall prison population (female) in percent from the SDG database by the UN. | |A measure of the unsentenced detainees as a proportion of overall prison population (female) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Unsentenced detainees as a proportion of overall prison population, male]] | |[[Unsentenced detainees as a proportion of overall prison population, male]] | ||
Line 1,063: | Line 1,063: | ||
|Metric | |Metric | ||
|A measure of the unsentenced detainees as a proportion of overall prison population (male) in percent from the SDG database by the UN. | |A measure of the unsentenced detainees as a proportion of overall prison population (male) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Prevalence rate of bribery, bothsex]] | |[[Prevalence rate of bribery, bothsex]] | ||
Line 1,071: | Line 1,071: | ||
|Metric | |Metric | ||
|A measure of the prevalence rate of bribery (bothsex) in percent from the SDG database by the UN. | |A measure of the prevalence rate of bribery (bothsex) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Primary government expenditures as a proportion of original approved budget]] | |[[Primary government expenditures as a proportion of original approved budget]] | ||
Line 1,079: | Line 1,079: | ||
|Metric | |Metric | ||
|A measure of the primary government expenditures as a proportion of original approved budget in percent from the SDG database by the UN. | |A measure of the primary government expenditures as a proportion of original approved budget in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total government revenue (budgetary central government) as a proportion of GDP]] | |[[Total government revenue (budgetary central government) as a proportion of GDP]] | ||
Line 1,087: | Line 1,087: | ||
|Metric | |Metric | ||
|A measure of the total government revenue (budgetary central government) as a proportion of GDP in percent from the SDG database by the UN. | |A measure of the total government revenue (budgetary central government) as a proportion of GDP in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries]] | |[[Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries]] | ||
Line 1,095: | Line 1,095: | ||
|Metric | |Metric | ||
|A measure of the net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI (by donor countries) in percent from the SDG database by the UN. | |A measure of the net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI (by donor countries) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Foreign direct investment (FDI) inflows (millions of United States dollars)]] | |[[Foreign direct investment (FDI) inflows (millions of United States dollars)]] | ||
Line 1,103: | Line 1,103: | ||
|Metric | |Metric | ||
|A measure of the foreign direct investment (FDI) inflows in millions of United States dollars from the SDG database by the UN. | |A measure of the foreign direct investment (FDI) inflows in millions of United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Debt service as a proportion of exports of goods and services]] | |[[Debt service as a proportion of exports of goods and services]] | ||
Line 1,111: | Line 1,111: | ||
|Metric | |Metric | ||
|A measure of the debt service as a proportion of exports of goods and services in percent from the SDG database by the UN. | |A measure of the debt service as a proportion of exports of goods and services in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of fixed broadband subscriptions, by speed (number)]] | |[[Number of fixed broadband subscriptions, by speed (number)]] | ||
Line 1,119: | Line 1,119: | ||
|Metric | |Metric | ||
|A measure of the number of fixed broadband subscriptions from the SDG database by the UN. | |A measure of the number of fixed broadband subscriptions from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Amount of tracked exported Environmentally Sound Technologies (current United States dollars)]] | |[[Amount of tracked exported Environmentally Sound Technologies (current United States dollars)]] | ||
Line 1,127: | Line 1,127: | ||
|Metric | |Metric | ||
|A measure of the amount of tracked exported Environmentally Sound Technologies in current United States dollars from the SDG database by the UN. | |A measure of the amount of tracked exported Environmentally Sound Technologies in current United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Amount of tracked imported Environmentally Sound Technologies (current United States dollars)]] | |[[Amount of tracked imported Environmentally Sound Technologies (current United States dollars)]] | ||
Line 1,135: | Line 1,135: | ||
|Metric | |Metric | ||
|A measure of the amount of tracked imported Environmentally Sound Technologies in current United States dollars from the SDG database by the UN. | |A measure of the amount of tracked imported Environmentally Sound Technologies in current United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of individuals using the Internet, bothsex]] | |[[Proportion of individuals using the Internet, bothsex]] | ||
Line 1,143: | Line 1,143: | ||
|Metric | |Metric | ||
|A measure of the proportion of individuals (bothsex) using the Internet in percent from the SDG database by the UN. | |A measure of the proportion of individuals (bothsex) using the Internet in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of individuals using the Internet, female]] | |[[Proportion of individuals using the Internet, female]] | ||
Line 1,151: | Line 1,151: | ||
|Metric | |Metric | ||
|A measure of the proportion of female individuals using the Internet in percent from the SDG database by the UN. | |A measure of the proportion of female individuals using the Internet in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Proportion of individuals using the Internet, male]] | |[[Proportion of individuals using the Internet, male]] | ||
Line 1,159: | Line 1,159: | ||
|Metric | |Metric | ||
|A measure of the proportion of male individuals using the Internet in percent from the SDG database by the UN. | |A measure of the proportion of male individuals using the Internet in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Total official development assistance (gross disbursement) for technical cooperation (millions of 2022 United States dollars)]] | |[[Total official development assistance (gross disbursement) for technical cooperation (millions of 2022 United States dollars)]] | ||
Line 1,167: | Line 1,167: | ||
|Metric | |Metric | ||
|A measure of the total official development assistance (gross disbursement) for technical cooperation in millions of 2022 United States dollars from the SDG database by the UN. | |A measure of the total official development assistance (gross disbursement) for technical cooperation in millions of 2022 United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Developing countries’ and least developed countries’ share of global merchandise imports]] | |[[Developing countries’ and least developed countries’ share of global merchandise imports]] | ||
Line 1,175: | Line 1,175: | ||
|Metric | |Metric | ||
|A measure of the developing countries’ and least developed countries’ share of global merchandise imports in percent from the SDG database by the UN. | |A measure of the developing countries’ and least developed countries’ share of global merchandise imports in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Developing countries’ and least developed countries’ share of global merchandise exports]] | |[[Developing countries’ and least developed countries’ share of global merchandise exports]] | ||
Line 1,183: | Line 1,183: | ||
|Metric | |Metric | ||
|A measure of the developing countries’ and least developed countries’ share of global merchandise exports in percent from the SDG database by the UN. | |A measure of the developing countries’ and least developed countries’ share of global merchandise exports in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Bank capital to assets ratio]] | |[[Bank capital to assets ratio]] | ||
Line 1,191: | Line 1,191: | ||
|Metric | |Metric | ||
|A measure of the bank capital to assets ratio in percent from the SDG database by the UN. | |A measure of the bank capital to assets ratio in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Gross public sector debt, Central Government, as a proportion of GDP]] | |[[Gross public sector debt, Central Government, as a proportion of GDP]] | ||
Line 1,199: | Line 1,199: | ||
|Metric | |Metric | ||
|A measure of the gross public sector debt, Central Government, as a proportion of GDP in percent from the SDG database by the UN. | |A measure of the gross public sector debt, Central Government, as a proportion of GDP in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Number of countries reporting progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Recipient (1 = YES; 0 = NO)]] | |[[Number of countries reporting progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Recipient (1 = YES; 0 = NO)]] | ||
Line 1,207: | Line 1,207: | ||
|Binary | |Binary | ||
|A measure of the number of countries reporting progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals (Recipient) in percent from the SDG database by the UN. | |A measure of the number of countries reporting progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals (Recipient) in percent from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Amount of United States dollars committed to public-private partnerships for infrastructure, million USD nominal]] | |[[Amount of United States dollars committed to public-private partnerships for infrastructure, million USD nominal]] | ||
Line 1,215: | Line 1,215: | ||
|Metric | |Metric | ||
|A measure of the amount of United States dollars committed to public-private partnerships for infrastructure in million USD nominal from the SDG database by the UN. | |A measure of the amount of United States dollars committed to public-private partnerships for infrastructure in million USD nominal from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Data Sources performance index (Statistical Performance Indicators Pillar 4) (Index)]] | |[[Data Sources performance index (Statistical Performance Indicators Pillar 4) (Index)]] | ||
Line 1,223: | Line 1,223: | ||
|Metric | |Metric | ||
|A measure of the Data Sources performance index (Statistical Performance Indicators Pillar 4) (Index) from the SDG database by the UN. | |A measure of the Data Sources performance index (Statistical Performance Indicators Pillar 4) (Index) from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|[[Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars)]] | |[[Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars)]] | ||
Line 1,231: | Line 1,231: | ||
|Metric | |Metric | ||
|A measure of the dollar value of all resources made available to strengthen statistical capacity in developing countries in current United States dollars from the SDG database by the UN. | |A measure of the dollar value of all resources made available to strengthen statistical capacity in developing countries in current United States dollars from the SDG database by the UN. | ||
− | | | + | |3rd Party Data |
|- | |- | ||
|} | |} |
Latest revision as of 15:08, 30 May 2025
Indicator name* | Subcategory I | Subcategory II | Technical name* | Scale* | Short description | Data origin* |
---|---|---|---|---|---|---|
Proportion of population below international poverty line, bothsex | Goal 01: No Poverty | Target 1: Eradicate extreme poverty | sdg_01_11a_prop_pop_below_int_povline_bothsex | Metric | A measure of the proportion of the population living below the international poverty line in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population below international poverty line, female | Goal 01: No Poverty | Target 1: Eradicate extreme poverty | sdg_01_11a_prop_pop_below_int_povline_female | Metric | A measure of the proportion of the female population living below the international poverty line in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population below international poverty line, male | Goal 01: No Poverty | Target 1: Eradicate extreme poverty | sdg_01_11a_prop_pop_below_int_povline_male | Metric | A measure of the proportion of the male population living below the international poverty line in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population living below the national poverty line | Goal 01: No Poverty | Target 2: Reduce poverty by at least 50% | sdg_01_21_prop_pop_below_nat_povline | Metric | A measure of the proportion of the population living below the national poverty line in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population living in multidimensional poverty, bothsex | Goal 01: No Poverty | Target 2: Reduce poverty by at least 50% | sdg_01_22a_prop_pop_in_multidim_pov_bothsex | Metric | A measure of the proportion of the population living in multidimensional poverty in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population living in multidimensional poverty, female | Goal 01: No Poverty | Target 2: Reduce poverty by at least 50% | sdg_01_22a_prop_pop_in_multidim_pov_female | Metric | A measure of the proportion of the female population living in multidimensional poverty in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population living in multidimensional poverty, male | Goal 01: No Poverty | Target 2: Reduce poverty by at least 50% | sdg_01_22a_prop_pop_in_multidim_pov_male | Metric | A measure of the proportion of the male population living in multidimensional poverty in percent from the SDG database by the UN. | 3rd Party Data |
ILO Proportion of mothers with newborns receiving maternity cash benefit | Goal 01: No Poverty | Target 3: Implement nationally appropriate social protection systems | sdg_01_31a_prop_moth_newb_mat_cash | Metric | A measure of the proportion of mothers with newborns receiving maternity cash benefit in percent from the SDG database by the UN. | 3rd Party Data |
World Bank Proportion of population covered by social assistance programs | Goal 01: No Poverty | Target 3: Implement nationally appropriate social protection systems | sdg_01_31c_prop_pop_soc_asst_pro | Metric | A measure of the proportion of the population covered by social assistance programs in percent from the SDG database by the UN. | 3rd Party Data |
ILO Proportion of unemployed persons receiving unemployment cash benefit, bothsex | Goal 01: No Poverty | Target 3: Implement nationally appropriate social protection systems | sdg_01_31f_prop_unemp_rec_cash_bothsex | Metric | A measure of the proportion of the unemployed persons receiving unemployment cash benefit in percent from the SDG database by the UN. | 3rd Party Data |
ILO Proportion of unemployed persons receiving unemployment cash benefit, female | Goal 01: No Poverty | Target 3: Implement nationally appropriate social protection systems | sdg_01_31f_prop_unemp_rec_cash_female | Metric | A measure of the proportion of the unemployed female persons receiving unemployment cash benefit in percent from the SDG database by the UN. | 3rd Party Data |
ILO Proportion of unemployed persons receiving unemployment cash benefit, male | Goal 01: No Poverty | Target 3: Implement nationally appropriate social protection systems | sdg_01_31f_prop_unemp_rec_cash_male | Metric | A measure of the proportion of the unemployed male persons receiving unemployment cash benefit in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population using basic drinking water services, by location | Goal 01: No Poverty | Target 4: Equal rights to ownership, basic services, technology, and economic resources | sdg_01_41a_prop_pop_bas_dri_wat | Metric | A measure of the proportion of the population using basic drinking water servicesin percent from the SDG database by the UN. | 3rd Party Data |
Proportion of total government spending on essential services, health | Goal 01: No Poverty | Target a: Mobilization of resources to end poverty | sdg_01_a2b_prop_tot_gov_spend_ess_serv_heal | Metric | A measure of the proportion of the total government spending on essential services (health) in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of total government spending on essential services, social protection | Goal 01: No Poverty | Target a: Mobilization of resources to end poverty | sdg_01_a2c_prop_tot_gov_spend_ess_serv_soc_prot | Metric | A measure of the proportion of the total government spending on essential services (social protection) in percent from the SDG database by the UN. | 3rd Party Data |
Prevalence of undernourishment | Goal 02: Zero hunger | Target 1: Universal access to safe and nutritious food | sdg_02_11a_prev_undernou | Metric | A measure of the proportion of the prevalence of undernourishment in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of children moderately or severely stunted | Goal 02: Zero hunger | Target 2: End all forms of malnutrition | sdg_02_21a_prop_ch_mod_sev_stun | Metric | A measure of the proportion of the children moderately or severely stunted in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of children moderately or severely wasted | Goal 02: Zero hunger | Target 2: End all forms of malnutrition | sdg_02_22a_prop_ch_mod_sev_wast | Metric | A measure of the proportion of the children moderately or severely wasted in percent from the SDG database by the UN. | 3rd Party Data |
Productivity of large-scale food producers (agricultural output per labour day, PPP) (constant 2017 international $) | Goal 02: Zero hunger | Target 3: Double the productivity and incomes of small-scale food producers | sdg_02_31b_prod_lar_food_produ_bothsex | Metric | A measure of the productivity of large-scale food producers in constant 2017 international $ from the SDG database by the UN. | 3rd Party Data |
Proportion of local breeds classified as being at risk of extinction as a share of local breeds with known level of extinction risk | Goal 02: Zero hunger | Target 5: Maintain the genetic diversity in food production | sdg_02_52b_prop_loc_bre_class_risk_exti_sha_loc_bre_know_lvl_exti_risk | Metric | A measure of the proportion of local breeds classified as being at risk of extinction as a share of local breeds with known level of extinction risk in percent from the SDG database by the UN. | 3rd Party Data |
Agriculture orientation index for government expenditures | Goal 02: Zero hunger | Target a: Invest in rural infrastructure, agricultural research, technology and gene banks | sdg_02_a1a_agricul_ori_index_gov_expen | Metric | A measure of the agriculture orientation index for government expenditures from the SDG database by the UN. | 3rd Party Data |
Agricultural export subsidies (millions of current United States dollars) | Goal 02: Zero hunger | Target b: Prevent agricultural trade restrictions, market distortions and export subsidies | sdg_02_b1_agricul_exp_subsi | Metric | A measure of the agricultural export subsidies in millions of current United States dollars from the SDG database by the UN. | 3rd Party Data |
Maternal mortality ratio | Goal 03: Good health and well-being | Target 1: Reduce maternal mortality | sdg_03_11_mat_mor_ratio_female | Metric | A measure of the maternal mortality ratio in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Under-five mortality rate, bothsex (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_21b_ufive_mor_rate_bothsex | Metric | A measure of the under-five mortality ratio (bothsex) in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Under-five mortality rate, female (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_21b_ufive_mor_rate_female | Metric | A measure of the under-five mortality ratio (female) in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Under-five mortality rate, male (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_21b_ufive_mor_rate_male | Metric | A measure of the under-five mortality ratio (male) in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Infant mortality rate (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_21c_inf_mor_rate_bothsex | Metric | A measure of the infant mortality ratio (bothsex) in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Infant mortality rate, female (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_21c_inf_mor_rate_female | Metric | A measure of the infant mortality ratio (female) in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Infant mortality rate, male (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_21c_inf_mor_rate_male | Metric | A measure of the infant mortality ratio (male) in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Neonatal mortality rate (deaths per 1,000 live births) | Goal 03: Good health and well-being | Target 2: End all preventable deaths under five years of age | sdg_03_22b_neona_mor_rate_bothsex | Metric | A measure of the neonatal mortality ratio in deaths per 1000 live births from the SDG database by the UN. | 3rd Party Data |
Tuberculosis incidence (per 100,000 population) | Goal 03: Good health and well-being | Target 3: Fight communicable diseases | sdg_03_32_tub_inci | Metric | A measure of the tuberculosis incidence per 100000 population from the SDG database by the UN. | 3rd Party Data |
Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), bothsex | Goal 03: Good health and well-being | Target 4: Reduce mortality from non-communicable diseases and promote mental health | sdg_03_41a_mor_rate_att_card_dis_can_dia_chr_dis_bothsex | Metric | A measure of the mortality rate (bothsex) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | 3rd Party Data |
Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), female | Goal 03: Good health and well-being | Target 4: Reduce mortality from non-communicable diseases and promote mental health | sdg_03_41a_mor_rate_att_card_dis_can_dia_chr_dis_female | Metric | A measure of the mortality rate (female) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | 3rd Party Data |
Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability), male | Goal 03: Good health and well-being | Target 4: Reduce mortality from non-communicable diseases and promote mental health | sdg_03_41a_mor_rate_att_card_dis_can_dia_chr_dis_male | Metric | A measure of the mortality rate (male) attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease in percent from the SDG database by the UN. | 3rd Party Data |
Suicide mortality rate, bothsex (deaths per 100,000 population) | Goal 03: Good health and well-being | Target 4: Reduce mortality from non-communicable diseases and promote mental health | sdg_03_42a_sui_mor_rate_bothsex | Metric | A measure of the suicide mortality rate (bothsex) in deaths per 100000 population from the SDG database by the UN. | 3rd Party Data |
Suicide mortality rate, female (deaths per 100,000 population) | Goal 03: Good health and well-being | Target 4: Reduce mortality from non-communicable diseases and promote mental health | sdg_03_42a_sui_mor_rate_female | Metric | A measure of the suicide female mortality rate in deaths per 100000 population from the SDG database by the UN. | 3rd Party Data |
Suicide mortality rate, male (deaths per 100,000 population) | Goal 03: Good health and well-being | Target 4: Reduce mortality from non-communicable diseases and promote mental health | sdg_03_42a_sui_mor_rate_male | Metric | A measure of the suicide male mortality rate in deaths per 100000 population from the SDG database by the UN. | 3rd Party Data |
Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods ( of women aged 15-49 years) | Goal 03: Good health and well-being | Taget 7: Universal access to sexual and reproductive care, family planning and education | sdg_03_71_prop_wom_repro_age_need_fam_plan_sat_mod_meth_female | Metric | A measure of the proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods in percent from the SDG database by the UN. | 3rd Party Data |
Universal health coverage (UHC) service coverage index | Goal 03: Good health and well-being | Target 8: Achieve universal health coverage | sdg_03_81_uni_heal_cov_serv_cov_index | Metric | A measure of the universal health coverage service coverage (index) from the SDG database by the UN. | 3rd Party Data |
Proportion of population with large household expenditures on health (greater than 25) as a share of total household expenditure or income | Goal 03: Good health and well-being | Target 8: Achieve universal health coverage | sdg_03_82a_prop_pop_lar_hh_expen_heal_grtwenfive_sha_tot_hh_expen_inco | Metric | A measure of the proportion of population with large household expenditures on health (greater than 25%) as a share of total household expenditure or income in percent from the SDG database by the UN. | 3rd Party Data |
Age-standardized mortality rate attributed to household air pollution (deaths per 100,000 population) | Goal 03: Good health and well-being | Target 9: Reduce illnesses and deaths from hazardous chemicals and pollution | sdg_03_91b_agestand_mor_rate_att_hh_amb_air_poll | Metric | A measure of the age-standardized mortality rate attributed to household air pollution in deaths per 100000 population from the SDG database by the UN. | 3rd Party Data |
Total official development assistance to medical research and basic health sectors, net disbursement, by recipient countries (millions of constant 2022 United States dollars) | Goal 03: Good health and well-being | Target b: Support research, development and universal access to affordable vaccines and medicines | sdg_03_b2a_tot_off_dev_ass_med_res_bas_heal_net_dis_rec_coun | Metric | A measure of the total official development assistance to medical research and basic health sectors in millions of constant 2022 United States dollars from the SDG database by the UN. | 3rd Party Data |
Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), bothsex | Goal 04: Quality education | Target 2: Equal access to quality pre-primary education | sdg_04_21_prop_ch_dev_on_track_bothsex | Metric | A measure of the proportion of children aged 36-59 months (bothsex) who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), female | Goal 04: Quality education | Target 2: Equal access to quality pre-primary education | sdg_04_21_prop_ch_dev_on_track_female | Metric | A measure of the proportion of female children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning ( of children aged 36-59 months), male | Goal 04: Quality education | Target 2: Equal access to quality pre-primary education | sdg_04_21_prop_ch_dev_on_track_male | Metric | A measure of the proportion of male children aged 36-59 months who are developmentally on track in at least three of the following domains: literacy-numeracy, physical development, social-emotional development, and learning in percent from the SDG database by the UN. | 3rd Party Data |
Adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age), (ratio) | Goal 04: Quality education | Target 5: Eliminate all discrimination in education | sdg_04_51a_adju_gen_par_index_part_rate_org_lear | Metric | A measure of the adjusted gender parity index for participation rate in organized learning (one year before the official primary entry age) as a ratio percent from the SDG database by the UN. | 3rd Party Data |
Total official flows for scholarships, by recipient countries (millions of constant 2022 United States dollars) | Goal 04: Quality education | Target b: Expand higher education scholarships for developing countries | sdg_04_b1_tot_off_flow_schoshi_rec_coun | Metric | A measure of the total official flows for scholarships in millions of constant 2022 united states dollars from the SDG database by the UN. | 3rd Party Data |
Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age | Goal 05: Gender equality | Target 2: End all violence against and exploitation of women and girls | sdg_05_21_prop_evpat_wom_gi_sub_phy_sexu_vio_part_female | Metric | A measure of the proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of seats held by women in national parliaments ( of total number of seats) | Goal 05: Gender equality | Target 5: Ensure full participation in leadership and decision-making | sdg_05_51c_prop_seat_wom_nat_parli_female | Metric | A measure of the proportion of seats held by women in national parliaments in percent of total number of seats from the SDG database by the UN. | 3rd Party Data |
Proportion of population using safely managed drinking water services, by urban/rural | Goal 06: Clean water and sanitation | Target 1: Safe and affordable drinking water | sdg_06_11_prop_pop_safe_mana_dri_wat_serv | Metric | A measure of the proportion of population using safely managed drinking water services in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population using safely managed sanitation services, by urban/rural | Goal 06: Clean water and sanitation | Target 2: End open defecation and provide access to sanitation and hygiene | sdg_06_21b_prop_pop_safe_mana_san_serv | Metric | A measure of the proportion of population using safely managed sanitation service in percent from the SDG database by the UN. | 3rd Party Data |
Water Use Efficiency (United States dollars per cubic meter) | Goal 06: Clean water and sanitation | Target 4: Increase water-use efficiency and ensure freshwater supplies | sdg_06_41_wat_use_eff | Metric | A measure of the water use fficiency in United States dollars per cubic meter from the SDG database by the UN. | 3rd Party Data |
Level of water stress: freshwater withdrawal as a proportion of available freshwater resources | Goal 06: Clean water and sanitation | Target 4: Increase water-use efficiency and ensure freshwater supplies | sdg_06_42_lvl_wat_str_frewat_wdra_prop_ava_frewat_res | Metric | A measure of the level of water stress: freshwater withdrawal as a proportion of available freshwater resource in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation | Goal 06: Clean water and sanitation | Target 5: Implement IWRM | sdg_06_52a_prop_trabou_bas_oper_arr_wat_coop | Metric | A measure of the proportion of transboundary basins (river and lake basins and aquifers) with an operational arrangement for water cooperation in percent from the SDG database by the UN. | 3rd Party Data |
Total official development assistance (gross disbursement) for water supply and sanitation, by recipient countries (millions of constant 2022 United States dollars) | Goal 06: Clean water and sanitation | Target a: Expand water and sanitation support to developing countries | sdg_06_a1_tot_off_dev_ass_wat_sup_san | Metric | A measure of the total official development assistance (gross disbursement) for water supply and sanitation in millions of constant 2022 United States dollars from the SDG database by the UN. | 3rd Party Data |
Proportion of population with access to electricity, by urban/rural | Goal 07: Affordable and clean energy | Target 1: Universal access to modern energy | sdg_07_11_prop_pop_acc_elec | Metric | A measure of the proportion of population with access to electricity in percent from the SDG database by the UN. | 3rd Party Data |
Renewable energy share in the total final energy consumption | Goal 07: Affordable and clean energy | Target 2: Increase global percentage of renewable energy | sdg_07_21b_renew_ene_sha_tot_fin_ene_consu | Metric | A measure of the renewable energy share in the total final energy consumption in percent from the SDG database by the UN. | 3rd Party Data |
International financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems (millions of constant 2021 United States dollars) | Goal 07: Affordable and clean energy | Target a: Promote access to research, technology and investments in clean energy | sdg_07_a1_int_fin_flow_dev_coun_sup_clea_ene_res_dev_renew_ene_pro | Metric | A measure of the international financial flows to developing countries in support of clean energy research and development and renewable energy production, including in hybrid systems in millions of constant 2021 United States dollars from the SDG database by the UN. | 3rd Party Data |
Annual growth rate of real GDP per capita | Goal 08: Decent work and economic growth | Target 1: Sustainable economic growth | sdg_08_11_annu_grow_rate_real_gdp_capi | Metric | A measure of the annual growth rate of real GDP per capita in percent from the SDG database by the UN. | 3rd Party Data |
Annual growth rate of real GDP per employed person | Goal 08: Decent work and economic growth | Target 2: Diversify, innovate and upgrade for economic productivity | sdg_08_21_annu_grow_rate_real_gdp_empl_per | Metric | A measure of the annual growth rate of real GDP per employed person in percent from the SDG database by the UN. | 3rd Party Data |
Unemployment rate, by sex and age - 19th ICLS | Goal 08: Decent work and economic growth | Target 5: Full employment and decent work with equal pay | sdg_08_52c_unempl_rate_sex_age_nineteen_bothsex | Metric | A measure of the unemployment rate in percent from the SDG database by the UN. | 3rd Party Data |
Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation | Goal 08: Decent work and economic growth | Target 8: Protect labour rights and promote safe working environments | sdg_08_82_lvl_nat_compl_lab_righ_bas_ilo | Metric | A measure of the level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation from the SDG database by the UN. | 3rd Party Data |
Number of automated teller machines (ATMs) per 100,000 adults | Goal 08: Decent work and economic growth | Target 10: Universal access to banking, insurance and financial services | sdg_08_101a_num_atm | Metric | A measure of the number of automated teller machines (ATMs) per 100000 adults from the SDG database by the UN. | 3rd Party Data |
Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2022 United States dollars) | Goal 08: Decent work and economic growth | Target a: Increase aid for trade support | sdg_08_a1a_tot_off_flow_comm_aid_tra_don_coun | Metric | A measure of the total official flows (commitments) for Aid for Trade, by donor countries in millions of constant 2022 United States dollars from the SDG database by the UN. | 3rd Party Data |
Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2022 United States dollars) | Goal 08: Decent work and economic growth | Target a: Increase aid for trade support | sdg_08_a1d_tot_off_flow_comm_aid_tra_rec_coun | Metric | A measure of the total official flows (commitments) for Aid for Trade, by recipient countries in millions of constant 2022 United States dollars from the SDG database by the UN. | 3rd Party Data |
Manufacturing value added per capita (constant 2015 United States dollars) | Goal 09: Industry, Innovation, Technology and Infrastructure | Target 2: Promote inclusive and sustainable industrialization | sdg_09_21a_manu_val_add_capi | Metric | A measure of the manufacturing value added per capita in constant 2015 United States dollars from the SDG database by the UN. | 3rd Party Data |
Manufacturing employment as a proportion of total employment - 19th ICLS | Goal 09: Industry, Innovation, Technology and Infrastructure | Target 2: Promote inclusive and sustainable industrialization | sdg_09_22b_manu_empl_prop_tot_empl_nineteen | Metric | A measure of the manufacturing employment as a proportion of total employment in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of small-scale manufacturing industries in total manufacturing value added | Goal 09: Industry, Innovation, Technology and Infrastructure | Target 3: Increase access to financial services and markets | sdg_09_31_prop_smasca_manu_ind_tot_manu_val_add | Metric | A measure of the proportion of small-scale manufacturing industries in total manufacturing value added in percent from the SDG database by the UN. | 3rd Party Data |
Carbon dioxide emissions from fuel combustion (millions of tonnes) | Goal 09: Industry, Innovation, Technology and Infrastructure | Target 4: Upgrade all industries and infrastructures for sustainability | sdg_09_41a_car_dio_emi_fuel_comb | Metric | A measure of the carbon dioxide emissions from fuel combustion in millions of tonnes from the SDG database by the UN. | 3rd Party Data |
Research and development expenditure as a proportion of GDP | Goal 09: Industry, Innovation, Technology and Infrastructure | Target 5: Enhance research and upgrade industrial technologies | sdg_09_51_res_dev_expen_prop_gdp | Metric | A measure of the research and development expenditure as a proportion of GDP in percent from the SDG database by the UN. | 3rd Party Data |
Total official flows for infrastructure, by recipient countries (millions of constant 2022 United States dollars) | Goal 09: Industry, Innovation, Technology and Infrastructure | Target a: Facilitate sustainable infrastructure development for developing countries | sdg_09_a1_tot_off_flow_infra_rec_coun | Metric | A measure of the total official flows for infrastructure, by recipient countries in millions of constant 2022 United States dollars from the SDG database by the UN. | 3rd Party Data |
Proportion of population covered by at least a 2G mobile network | Goal 09: Industry, Innovation, Technology and Infrastructure | Target c: Universal access to information and communications technology | sdg_09_c1a_prop_pop_cov_lea_twog_mob_netw | Metric | A measure of the proportion of population covered by at least a 2G mobile network in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population covered by at least a 4G mobile network | Goal 09: Industry, Innovation, Technology and Infrastructure | Target c: Universal access to information and communications technology | sdg_09_c1c_prop_pop_cov_lea_fourg_mob_netw | Metric | A measure of the proportion of population covered by at least a 4G mobile network in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of people living below 50 percent of median income | Goal 10: Reduced inequality | Target 2: Promote universal social, economic and political inclusion | sdg_10_21_prop_peo_below_fiftyper_med_inco | Metric | A measure of the proportion of people living below 50 percent of median income in percent from the SDG database by the UN. | 3rd Party Data |
Labour share of GDP | Goal 10: Reduced inequality | Target 4: Adopt fiscal and social policies that promote equality | sdg_10_41_lab_gdp | Metric | A measure of the labour share of GDP in percent from the SDG database by the UN. | 3rd Party Data |
Non-performing loans to total gross loans | Goal 10: Reduced inequality | Target 5: Improved regulation of global financial markets and institutions | sdg_10_51a_nonperf_loa_tot_gro_loa | Metric | A measure of the non-performing loans to total gross loans in percent from the SDG database by the UN. | 3rd Party Data |
Total deaths and disappearances recorded during migration (number) | Goal 10: Reduced inequality | Target 7: Responsible and well-managed migration policies | sdg_10_73_num_tot_dea_disapp_rec_dur_migr | Metric | A measure of the number of total deaths and disappearances recorded during migration from the SDG database by the UN. | 3rd Party Data |
Average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted | Goal 10: Reduced inequality | Target c: Reduce transaction costs for migrant remittances | sdg_10_c1a_avg_rem_cost_send_twohun_rec_coun_prop_amou_rem | Metric | A measure of the average remittance costs of sending $200 to a receiving country as a proportion of the amount remitted in percent from the SDG database by the UN. | 3rd Party Data |
Average remittance costs of sending $200 for a sending country as a proportion of the amount remitted | Goal 10: Reduced inequality | Target c: Reduce transaction costs for migrant remittances | sdg_10_c1d_avg_rem_cost_send_twohun_send_coun_prop_amou_rem | Metric | A measure of the average remittance costs of sending $200 for a sending country as a proportion of the amount remitted in percent from the SDG database by the UN. | 3rd Party Data |
Number of damaged critical infrastructure attributed to disasters (number) | Goal 11: Sustainable cities and communities | Target 5: Reduce the adverse effects of natural disasters | sdg_11_53a_num_dam_crit_infstr_att_dis | Metric | A measure of the number of damaged critical infrastructure attributed to disasters from the SDG database by the UN. | 3rd Party Data |
Number of disruptions to basic services attributed to disasters (number) | Goal 11: Sustainable cities and communities | Target 5: Reduce the adverse effects of natural disasters | sdg_11_53e_num_disrup_bas_serv_att_dis | Metric | A measure of the number of disruptions to basic services attributed to disasters from the SDG database by the UN. | 3rd Party Data |
Food waste per capita (KG) | Goal 12: Responsible consumption and production | Target 3: Halve global per capita food waste | sdg_12_31a_food_was_capi | Metric | A measure of the food waste per capita in kg from the SDG database by the UN. | 3rd Party Data |
Parties meeting their commitments and obligations in transmitting information as required by Montreal Protocol on hazardous waste, and other chemicals | Goal 12: Responsible consumption and production | Target 4: Responsible management of chemicals and waste | sdg_12_41a_par_comm_obli_transm_info_req_by_mont_proto_haz_was_chem | Metric | A measure of the parties meeting their commitments and obligations in transmitting information as required by Montreal Protocol on hazardous waste, and other chemicals in percent from the SDG database by the UN. | 3rd Party Data |
Electronic waste generated, per capita (Kg) | Goal 12: Responsible consumption and production | Target 4: Responsible management of chemicals and waste | sdg_12_42b_elec_was_gen_capi | Metric | A measure of the electronic waste generated per capita in kg from the SDG database by the UN. | 3rd Party Data |
Hazardous waste generated, per capita (Kg) | Goal 12: Responsible consumption and production | Target 4: Responsible management of chemicals and waste | sdg_12_42d_haz_was_gen_capi | Metric | A measure of the hazardous waste generated per capita in kg from the SDG database by the UN. | 3rd Party Data |
Hazardous waste treated or disposed (Tonnes) | Goal 12: Responsible consumption and production | Target 4: Responsible management of chemicals and waste | sdg_12_42h_haz_was_trea_disp | Metric | A measure of the hazardous waste treated or disposed in tonnes from the SDG database by the UN. | 3rd Party Data |
Municipal waste generated (Tonnes) | Goal 12: Responsible consumption and production | Target 4: Responsible management of chemicals and waste | sdg_12_42k_muni_was_gen | Metric | A measure of the municipal waste generated in tonnes from the SDG database by the UN. | 3rd Party Data |
Total waste generation, by activity (Tonnes) | Goal 12: Responsible consumption and production | Target 4: Responsible management of chemicals and waste | sdg_12_42o_tot_was_gen | Metric | A measure of the total waste generation in tonnes from the SDG database by the UN. | 3rd Party Data |
Electronic waste recycled (Tonnes) | Goal 12: Responsible consumption and production | Target 5: Substantially reduce waste generation | sdg_12_51a_elec_was_recy | Metric | A measure of the electronic waste recycled in tonnes from the SDG database by the UN. | 3rd Party Data |
Municipal waste recycled (Tonnes) | Goal 12: Responsible consumption and production | Target 5: Substantially reduce waste generation | sdg_12_51e_muni_was_recy | Metric | A measure of the municipal waste recycled in tonnes from the SDG database by the UN. | 3rd Party Data |
Number of companies publishing sustainability reports with disclosure by dimension, by level of requirement (Number) | Goal 12: Responsible consumption and production | Target 6: Encourage companies to adopt sustainable practices and sustainability reporting | sdg_12_61_num_comp_pub_sust_rep_discl | Metric | A measure of the number of companies publishing sustainability reports with disclosure from the SDG database by the UN. | 3rd Party Data |
Implementation of standard accounting tools to monitor the economic and environmental aspects of tourism (number of tables) | Goal 12: Responsible consumption and production | Target b: Develop and implement tools to monitor sustainable tourism | sdg_12_b1a_impl_stan_acc_tool_mon_eco_envi_asp_tour_num | Metric | A measure of the implementation of standard accounting tools to monitor the economic and environmental aspects of tourism in number of tables from the SDG database by the UN. | 3rd Party Data |
Fossil-fuel subsidies (consumption and production) as a proportion of total GDP | Goal 12: Responsible consumption and production | Target c: Remove market distortions that encourage wasteful consumption | sdg_12_c1a_fossfue_subsi_prop_tot_gdp | Metric | A measure of the fossil-fuel subsidies (consumption and production) as a proportion of total GDP in percent from the SDG database by the UN. | 3rd Party Data |
Total greenhouse gas emissions without LULUCF for Annex I Parties (Mt CO2 equivalent) | Goal 13: Climate action | Target 2: Integrate climate change measures into policy and planning | sdg_13_22a_tot_greenh_gas_emi_witou_lulucf_ann | Metric | A measure of the total greenhouse gas emissions without LULUCF for Annex I Parties in Mt CO2 equivalent from the SDG database by the UN. | 3rd Party Data |
Total greenhouse gas emissions without LULUCF for non-Annex I Parties (Mt CO2 equivalent) | Goal 13: Climate action | Target 2: Integrate climate change measures into policy and planning | sdg_13_22b_tot_greenh_gas_emi_witou_lulucf_nonann | Metric | A measure of the total greenhouse gas emissions without LULUCF for non-Annex I Parties in Mt CO2 equivalent from the SDG database by the UN. | 3rd Party Data |
Beach litter originating from national land-based sources that ends in the ocean | Goal 14: Life below water | Target 1: Reduce marine pollution | sdg_14_11h_bea_lit_orig_nat_landbas_sou_end_oce_per | Metric | A measure of the beach litter originating from national land-based sources that ends in the ocean in percent from the SDG database by the UN. | 3rd Party Data |
Beach litter originating from national land-based sources that ends in the ocean (Tonnes) | Goal 14: Life below water | Target 1: Reduce marine pollution | sdg_14_11i_bea_lit_orig_nat_landbas_sou_end_oce_ton | Metric | A measure of the beach litter originating from national land-based sources that ends in the ocean in tonnes from the SDG database by the UN. | 3rd Party Data |
Proportion of fish stocks within biologically sustainable levels (not overexploited) | Goal 14: Life below water | Target 4: Sustainable fishing | sdg_14_41_prop_fish_stock_bio_susta_lvl_not_overexpl | Metric | A measure of the proportion of fish stocks within biologically sustainable levels (not overexploited) in percent from the SDG database by the UN. | 3rd Party Data |
Average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas | Goal 14: Life below water | Target 5: Conserve coastal and marine areas | sdg_14_51_avg_prop_mar_kba_cov_prot_area | Metric | A measure of the average proportion of Marine Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | 3rd Party Data |
Progress by countries in the degree of implementation of international instruments aiming to combat illegal, unreported and unregulated fishing (level of implementation: 1 lowest to 5 highest) | Goal 14: Life below water | Target 6: End subsidies contributing to overfishing | sdg_14_61_pro_coun_impl_int_instr_aim_comb_ill_unrep_unregu_fish | Ordinal | A measure of the progress by countries in the degree of implementation of international instruments aiming to combat illegal, unreported and unregulated fishing from the SDG database by the UN. | 3rd Party Data |
National ocean science expenditure as a share of total research and development funding | Goal 14: Life below water | Target a: Increase scientific knowledge, research and technology for ocean health | sdg_14_a1_nat_oce_sci_expen_sh_tot_rea_dev_fund | Metric | A measure of the national ocean science expenditure as a share of total research and development funding in percent from the SDG database by the UN. | 3rd Party Data |
Land area (thousands of hectares) | Goal 15: Life on land | Target 1: Conserve and restore terrestrial and freshwater ecosystems | sdg_15_11a_land_area | Metric | A measure of the land area in thousands of hectares from the SDG database by the UN. | 3rd Party Data |
Forest area as a proportion of total land area | Goal 15: Life on land | Target 1: Conserve and restore terrestrial and freshwater ecosystems | sdg_15_11c_for_area_prop_tot_land_area | Metric | A measure of the forest area as a proportion of total land area in percent from the SDG database by the UN. | 3rd Party Data |
Average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas | Goal 15: Life on land | Target 1: Conserve and restore terrestrial and freshwater ecosystems | sdg_15_12a_avg_prop_frewat_kba_cov_prot_area | Metric | A measure of the average proportion of Freshwater Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | 3rd Party Data |
Average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas | Goal 15: Life on land | Target 1: Conserve and restore terrestrial and freshwater ecosystems | sdg_15_12b_avg_prop_terre_kba_cov_prot_area | Metric | A measure of the average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | 3rd Party Data |
Forest area certified under an independently verified certification scheme (thousands of hectares) | Goal 15: Life on land | Target 2: End deforestation and restore degraded forests | sdg_15_21b_for_area_cert_indep_ver_cert_sche | Metric | A measure of the forest area certified under an independently verified certification scheme in thousands of hectares from the SDG database by the UN. | 3rd Party Data |
Proportion of land that is degraded over total land area | Goal 15: Life on land | Target 3: End desertification and restore degraded land | sdg_15_31_prop_land_degra_over_tot_land_area | Metric | A measure of the proportion of land that is degraded over total land area in percent from the SDG database by the UN. | 3rd Party Data |
Average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas | Goal 15: Life on land | Target 4: Ensure conservation of mountain ecosystems | sdg_15_41_avg_prop_mount_kba_cov_prot_area | Metric | A measure of the average proportion of Mountain Key Biodiversity Areas (KBAs) covered by protected areas in percent from the SDG database by the UN. | 3rd Party Data |
Red List Index | Goal 15: Life on land | Target 5: Protect biodiversity and natural habitats | sdg_15_51_red_list_index | Metric | A measure of the Red List Index from the SDG database by the UN. | 3rd Party Data |
Total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country (number) | Goal 15: Life on land | Target 6: Protect access to genetic resources and fair sharing of the benefits | sdg_15_61a_tot_rep_num_smta_transf_plan_gen_res_food_agricul_coun | Metric | A measure of the total reported number of Standard Material Transfer Agreements (SMTAs) transferring plant genetic resources for food and agriculture to the country from the SDG database by the UN. | 3rd Party Data |
Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species (1 = YES, 0 = NO) | Goal 15: Life on land | Target 8: Prevent invasive alien species on land and in water ecosystems | sdg_15_81a_leg_regu_act_rela_prev_intro_mana_inv_ali_spec | Binary | A measure of the Legislation, Regulation, Act related to the prevention of introduction and management of Invasive Alien Species from the SDG database by the UN. | 3rd Party Data |
National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 (1 = YES, 0 = NO) | Goal 15: Life on land | Target 8: Prevent invasive alien species on land and in water ecosystems | sdg_15_81b_nbsap_tar_ali_aichi_biodiv_tar_nine_stra_plan_biodiv | Binary | A measure of the National Biodiversity Strategy and Action Plan (NBSAP) targets alignment to Aichi Biodiversity target 9 set out in the Strategic Plan for Biodiversity 2011-2020 from the SDG database by the UN. | 3rd Party Data |
Number of victims of intentional homicide per 100,000 population, bothsex (victims per 100,000 population) | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_11a_num_vic_int_homi_pop_bothsex | Metric | A measure of the number of victims of intentional homicide per 100000 population (bothsex) in victims per 100000 population from the SDG database by the UN. | 3rd Party Data |
Number of victims of intentional homicide per 100,000 population, female (victims per 100,000 population) | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_11a_num_vic_int_homi_pop_female | Metric | A measure of the number of victims of intentional homicide per 100000 population (female) in victims per 100000 population from the SDG database by the UN. | 3rd Party Data |
Number of victims of intentional homicide per 100,000 population, male (victims per 100,000 population) | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_11a_num_vic_int_homi_pop_male | Metric | A measure of the number of victims of intentional homicide per 100000 population (male) in victims per 100000 population from the SDG database by the UN. | 3rd Party Data |
Proportion of population subjected to physical violence in the previous 12 months, bothsex | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_13a_prop_pop_subj_phy_vio_prev_twelvemon_bothsex | Metric | A measure of the proportion of population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population subjected to physical violence in the previous 12 months, female | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_13a_prop_pop_subj_phy_vio_prev_twelvemon_female | Metric | A measure of the proportion of the female population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population subjected to physical violence in the previous 12 months, male | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_13a_prop_pop_subj_phy_vio_prev_twelvemon_male | Metric | A measure of the proportion of the male population subjected to physical violence in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population subjected to robbery in the previous 12 months, bothsex | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_13b_prop_pop_subj_robb_prev_twelvemon_bothsex | Metric | A measure of the proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population subjected to robbery in the previous 12 months, female | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_13b_prop_pop_subj_robb_prev_twelvemon_female | Metric | A measure of the female proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of population subjected to robbery in the previous 12 months, male | Goal 16: Peace, justice and strong institutions | Target 1: Reduce violence everywhere | sdg_16_13b_prop_pop_subj_robb_prev_twelvemon_male | Metric | A measure of the male proportion of population subjected to robbery in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Detected victims of human trafficking, by age and sex (number), bothsex | Goal 16: Peace, justice and strong institutions | Target 2: Protect children from abuse, exploitation, trafficking and violence | sdg_16_22e_det_vic_hum_traff_bothsex | Metric | A measure of the number of detected victims of human trafficking from the SDG database by the UN. | 3rd Party Data |
Detected victims of human trafficking, by age and sex (number), female | Goal 16: Peace, justice and strong institutions | Target 2: Protect children from abuse, exploitation, trafficking and violence | sdg_16_22e_det_vic_hum_traff_female | Metric | A measure of the number of detected female victims of human trafficking from the SDG database by the UN. | 3rd Party Data |
Detected victims of human trafficking, by age and sex (number), male | Goal 16: Peace, justice and strong institutions | Target 2: Protect children from abuse, exploitation, trafficking and violence | sdg_16_22e_det_vic_hum_traff_male | Metric | A measure of the number of detected male victims of human trafficking from the SDG database by the UN. | 3rd Party Data |
Police reporting rate for physical assault in the previous 12 months, bothsex | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_31a_pol_rep_rate_phy_ass_prev_twelve_mon_bothsex | Metric | A measure of the police reporting rate for physical assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Police reporting rate for physical assault in the previous 12 months, female | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_31a_pol_rep_rate_phy_ass_prev_twelve_mon_female | Metric | A measure of the police reporting rate for physical assault (female) in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Police reporting rate for physical assault in the previous 12 months, male | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_31a_pol_rep_rate_phy_ass_prev_twelve_mon_male | Metric | A measure of the police reporting rate for physical assault (male) in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Police reporting rate for sexual assault in the previous 12 months, bothsex | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_31b_pol_rep_rate_sex_ass_prev_twelve_mon_bothsex | Metric | A measure of the police reporting rate for sexual assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Police reporting rate for robbery in the previous 12 months, bothsex | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_31c_pol_rep_rate_robb_prev_twelve_mon_bothsex | Metric | A measure of the police reporting rate for sexual assault (bothsex) in the previous 12 months in percent from the SDG database by the UN. | 3rd Party Data |
Unsentenced detainees as a proportion of overall prison population, bothsex | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_32_unsent_deta_prop_ovall_pri_pop_bothsex | Metric | A measure of the unsentenced detainees as a proportion of overall prison population (bothsex) in percent from the SDG database by the UN. | 3rd Party Data |
Unsentenced detainees as a proportion of overall prison population, female | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_32_unsent_deta_prop_ovall_pri_pop_female | Metric | A measure of the unsentenced detainees as a proportion of overall prison population (female) in percent from the SDG database by the UN. | 3rd Party Data |
Unsentenced detainees as a proportion of overall prison population, male | Goal 16: Peace, justice and strong institutions | Target 3: Equal access to justice | sdg_16_32_unsent_deta_prop_ovall_pri_pop_male | Metric | A measure of the unsentenced detainees as a proportion of overall prison population (male) in percent from the SDG database by the UN. | 3rd Party Data |
Prevalence rate of bribery, bothsex | Goal 16: Peace, justice and strong institutions | Target 5: Substantially reduce corruption and bribery | sdg_16_51_prev_rate_bri_bothsex | Metric | A measure of the prevalence rate of bribery (bothsex) in percent from the SDG database by the UN. | 3rd Party Data |
Primary government expenditures as a proportion of original approved budget | Goal 16: Peace, justice and strong institutions | Target 6: Develop effective, accountable and transparent institutions | sdg_16_61_pri_gov_expen_prop_orig_app_bud | Metric | A measure of the primary government expenditures as a proportion of original approved budget in percent from the SDG database by the UN. | 3rd Party Data |
Total government revenue (budgetary central government) as a proportion of GDP | Goal 17: Partnerships for the goals | Target 1: Mobilize resources to improve domestic revenue collection | sdg_17_11a_tot_gov_rev_prop_gdp | Metric | A measure of the total government revenue (budgetary central government) as a proportion of GDP in percent from the SDG database by the UN. | 3rd Party Data |
Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries | Goal 17: Partnerships for the goals | Target 2: Implement all development assistance commitments | sdg_17_21a_net_oda_sids_per_oecddac_don_gni_don_coun | Metric | A measure of the net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI (by donor countries) in percent from the SDG database by the UN. | 3rd Party Data |
Foreign direct investment (FDI) inflows (millions of United States dollars) | Goal 17: Partnerships for the goals | Target 3: Mobilize financial resources for developing countries | sdg_17_31a_fdi_inflow | Metric | A measure of the foreign direct investment (FDI) inflows in millions of United States dollars from the SDG database by the UN. | 3rd Party Data |
Debt service as a proportion of exports of goods and services | Goal 17: Partnerships for the goals | Target 4: Assist developing countries in attaining debt sustainability | sdg_17_41_deb_serv_prop_exp_goo_serv | Metric | A measure of the debt service as a proportion of exports of goods and services in percent from the SDG database by the UN. | 3rd Party Data |
Number of fixed broadband subscriptions, by speed (number) | Goal 17: Partnerships for the goals | Target 6: Knowledge sharing and cooperation for access to science, technology and innovation | sdg_17_61a_num_fix_broa_sub_spe | Metric | A measure of the number of fixed broadband subscriptions from the SDG database by the UN. | 3rd Party Data |
Amount of tracked exported Environmentally Sound Technologies (current United States dollars) | Goal 17: Partnerships for the goals | Target 7: Promote sustainable technologies to developing countries | sdg_17_71a_amo_tra_exp_enviro_sou_tech | Metric | A measure of the amount of tracked exported Environmentally Sound Technologies in current United States dollars from the SDG database by the UN. | 3rd Party Data |
Amount of tracked imported Environmentally Sound Technologies (current United States dollars) | Goal 17: Partnerships for the goals | Target 7: Promote sustainable technologies to developing countries | sdg_17_71b_amo_tra_imp_enviro_sou_tech | Metric | A measure of the amount of tracked imported Environmentally Sound Technologies in current United States dollars from the SDG database by the UN. | 3rd Party Data |
Proportion of individuals using the Internet, bothsex | Goal 17: Partnerships for the goals | Target 8: Strengthen the science, technology and innovation capacity for least-developed countries | sdg_17_81_prop_indi_us_int_bothsex | Metric | A measure of the proportion of individuals (bothsex) using the Internet in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of individuals using the Internet, female | Goal 17: Partnerships for the goals | Target 8: Strengthen the science, technology and innovation capacity for least-developed countries | sdg_17_81_prop_indi_us_int_female | Metric | A measure of the proportion of female individuals using the Internet in percent from the SDG database by the UN. | 3rd Party Data |
Proportion of individuals using the Internet, male | Goal 17: Partnerships for the goals | Target 8: Strengthen the science, technology and innovation capacity for least-developed countries | sdg_17_81_prop_indi_us_int_male | Metric | A measure of the proportion of male individuals using the Internet in percent from the SDG database by the UN. | 3rd Party Data |
Total official development assistance (gross disbursement) for technical cooperation (millions of 2022 United States dollars) | Goal 17: Partnerships for the goals | Target 9: Enhanced SDG capacity in developing countries | sdg_17_91_tot_off_dev_ass_tech_coop | Metric | A measure of the total official development assistance (gross disbursement) for technical cooperation in millions of 2022 United States dollars from the SDG database by the UN. | 3rd Party Data |
Developing countries’ and least developed countries’ share of global merchandise imports | Goal 17: Partnerships for the goals | Target 11: Increase the exports of developing countries | sdg_17_111a_dev_coun_lea_dev_coun_sh_glo_mech_imp | Metric | A measure of the developing countries’ and least developed countries’ share of global merchandise imports in percent from the SDG database by the UN. | 3rd Party Data |
Developing countries’ and least developed countries’ share of global merchandise exports | Goal 17: Partnerships for the goals | Target 11: Increase the exports of developing countries | sdg_17_111b_dev_coun_lea_dev_coun_sh_glo_mech_exp | Metric | A measure of the developing countries’ and least developed countries’ share of global merchandise exports in percent from the SDG database by the UN. | 3rd Party Data |
Bank capital to assets ratio | Goal 17: Partnerships for the goals | Target 13: Enhance global macroeconomic stability | sdg_17_131a_bank_cap_ass_rat | Metric | A measure of the bank capital to assets ratio in percent from the SDG database by the UN. | 3rd Party Data |
Gross public sector debt, Central Government, as a proportion of GDP | Goal 17: Partnerships for the goals | Target 13: Enhance global macroeconomic stability | sdg_17_131t_gro_pub_sec_debt_cen_gov_prop_gdp | Metric | A measure of the gross public sector debt, Central Government, as a proportion of GDP in percent from the SDG database by the UN. | 3rd Party Data |
Number of countries reporting progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Recipient (1 = YES; 0 = NO) | Goal 17: Partnerships for the goals | Target 16: Enhance the global partnership for sustainable development | sdg_17_161b_num_coun_rep_pro_multisth_dev_eff_mon_frwork_supp_ach_susta_dev_goal_rec | Binary | A measure of the number of countries reporting progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals (Recipient) in percent from the SDG database by the UN. | 3rd Party Data |
Amount of United States dollars committed to public-private partnerships for infrastructure, million USD nominal | Goal 17: Partnerships for the goals | Target 17: Encourage effective partnerships | sdg_17_171a_amo_usd_comm_pubpri_partshi_infra_usd_nom | Metric | A measure of the amount of United States dollars committed to public-private partnerships for infrastructure in million USD nominal from the SDG database by the UN. | 3rd Party Data |
Data Sources performance index (Statistical Performance Indicators Pillar 4) (Index) | Goal 17: Partnerships for the goals | Target 18: Enhance availability of reliable data | sdg_17_181a_data_sou_per_index_spip_four | Metric | A measure of the Data Sources performance index (Statistical Performance Indicators Pillar 4) (Index) from the SDG database by the UN. | 3rd Party Data |
Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars) | Goal 17: Partnerships for the goals | Target 19: Further develop measurements of progress | sdg_17_191_dol_val_res_ava_stre_stat_capa_dev_coun | Metric | A measure of the dollar value of all resources made available to strengthen statistical capacity in developing countries in current United States dollars from the SDG database by the UN. | 3rd Party Data |