Indonesia Health Statistics
Indonesia ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.200 NA in 2016. This stayed constant from the previous number of 0.200 NA for 2010. ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.200 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.200 NA in 2016 and a record low of 0.200 NA in 2016. ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.200 2016 | yearly | 2010 - 2016 |
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Indonesia ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 1.400 NA in 2016. This records an increase from the previous number of 1.200 NA for 2010. ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 1.300 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 1.400 NA in 2016 and a record low of 1.200 NA in 2010. ID: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
1.400 2016 | yearly | 2010 - 2016 |
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Indonesia ID: Intentional Homicides: Female: per 100,000 Female
ID: Intentional Homicides: Female: per 100,000 Female data was reported at 0.262 Ratio in 2014. ID: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.262 Ratio from Dec 2014 (Median) to 2014, with 1 observations. ID: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
Last | Frequency | Range |
---|---|---|
0.26 2014 | yearly | 2014 - 2014 |
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Indonesia ID: Intentional Homicides: Male: per 100,000 Male
ID: Intentional Homicides: Male: per 100,000 Male data was reported at 0.735 Ratio in 2014. ID: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 0.735 Ratio from Dec 2014 (Median) to 2014, with 1 observations. ID: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
Last | Frequency | Range |
---|---|---|
0.74 2014 | yearly | 2014 - 2014 |
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Indonesia ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 94.000 NA in 2016. ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 94.000 NA from Dec 2016 (Median) to 2016, with 1 observations. ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
94.000 2016 | yearly | 2016 - 2016 |
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Indonesia ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 134.000 NA in 2016. ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 134.000 NA from Dec 2016 (Median) to 2016, with 1 observations. ID: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
134.000 2016 | yearly | 2016 - 2016 |
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Indonesia ID: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
ID: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 112.400 Ratio in 2016. ID: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 112.400 Ratio from Dec 2016 (Median) to 2016, with 1 observations. ID: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
112.40 2016 | yearly | 2016 - 2016 |
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Indonesia ID: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
ID: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.200 Ratio in 2016. This stayed constant from the previous number of 0.200 Ratio for 2015. ID: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.200 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.300 Ratio in 2000 and a record low of 0.200 Ratio in 2016. ID: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.20 2016 | yearly | 2000 - 2016 |
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Indonesia ID: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
ID: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.600 Ratio in 2016. This stayed constant from the previous number of 0.600 Ratio for 2015. ID: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.700 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.900 Ratio in 2000 and a record low of 0.600 Ratio in 2016. ID: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.60 2016 | yearly | 2000 - 2016 |
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Indonesia ID: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
ID: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.400 Ratio in 2016. This stayed constant from the previous number of 0.400 Ratio for 2015. ID: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.600 Ratio in 2000 and a record low of 0.400 Ratio in 2016. ID: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.40 2016 | yearly | 2000 - 2016 |
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Indonesia ID: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
ID: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 7.100 Ratio in 2016. ID: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 7.100 Ratio from Dec 2016 (Median) to 2016, with 1 observations. ID: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
7.10 2016 | yearly | 2016 - 2016 |
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Indonesia ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 22.600 NA in 2016. This records a decrease from the previous number of 22.800 NA for 2015. ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 23.300 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.700 NA in 2000 and a record low of 22.600 NA in 2016. ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
22.600 2016 | yearly | 2000 - 2016 |
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Indonesia ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 30.300 NA in 2016. This stayed constant from the previous number of 30.300 NA for 2015. ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 30.300 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 30.700 NA in 2010 and a record low of 29.100 NA in 2000. ID: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
30.300 2016 | yearly | 2000 - 2016 |
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Indonesia ID: Number of Deaths Ages 10-14 Years
ID: Number of Deaths Ages 10-14 Years data was reported at 9,017.000 Person in 2019. This records a decrease from the previous number of 9,338.000 Person for 2018. ID: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 13,894.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 29,354.000 Person in 2004 and a record low of 9,017.000 Person in 2019. ID: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
9,017.000 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Number of Deaths Ages 15-19 Years
ID: Number of Deaths Ages 15-19 Years data was reported at 22,142.000 Person in 2019. This records a decrease from the previous number of 22,681.000 Person for 2018. ID: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 25,692.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 40,818.000 Person in 2004 and a record low of 22,142.000 Person in 2019. ID: Number of Deaths Ages 15-19 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
22,142.000 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Number of Deaths Ages 20-24 Years
ID: Number of Deaths Ages 20-24 Years data was reported at 24,125.000 Person in 2019. This records an increase from the previous number of 23,967.000 Person for 2018. ID: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 23,594.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 36,000.000 Person in 2004 and a record low of 21,801.000 Person in 1990. ID: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
24,125.000 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Number of Deaths Ages 5-9 Years
ID: Number of Deaths Ages 5-9 Years data was reported at 15,323.000 Person in 2019. This records a decrease from the previous number of 15,565.000 Person for 2018. ID: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 23,018.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 40,391.000 Person in 2004 and a record low of 15,323.000 Person in 2019. ID: Number of Deaths Ages 5-9 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
15,323.000 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Probability of Dying at Age 10-14 Years: per 1000
ID: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 2.000 Ratio in 2019. This stayed constant from the previous number of 2.000 Ratio for 2018. ID: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 3.100 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 6.500 Ratio in 2004 and a record low of 2.000 Ratio in 2019. ID: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
2.000 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Probability of Dying at Age 15-19 Years: per 1000
ID: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 4.700 Ratio in 2019. This records a decrease from the previous number of 4.900 Ratio for 2018. ID: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 6.000 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 9.200 Ratio in 2004 and a record low of 4.700 Ratio in 2019. ID: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
4.700 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Probability of Dying at Age 20-24 Years: per 1000
ID: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.400 Ratio in 2019. This stayed constant from the previous number of 5.400 Ratio for 2018. ID: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 5.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 8.500 Ratio in 2004 and a record low of 5.400 Ratio in 2019. ID: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
5.400 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Probability of Dying at Age 5-9 Years: per 1000
ID: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 3.200 Ratio in 2019. This records a decrease from the previous number of 3.300 Ratio for 2018. ID: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 5.100 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 8.900 Ratio in 2004 and a record low of 3.200 Ratio in 2019. ID: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
Last | Frequency | Range |
---|---|---|
3.200 2019 | yearly | 1990 - 2019 |
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Indonesia ID: Smoking Prevalence: Total: % of Adults: Aged 15+
ID: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 39.400 % in 2016. This records an increase from the previous number of 39.000 % for 2015. ID: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 37.600 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 39.400 % in 2016 and a record low of 32.900 % in 2000. ID: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
39.40 2016 | yearly | 2000 - 2016 |
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Indonesia ID: Suicide Mortality Rate: Female
ID: Suicide Mortality Rate: Female data was reported at 2.000 NA in 2016. This stayed constant from the previous number of 2.000 NA for 2015. ID: Suicide Mortality Rate: Female data is updated yearly, averaging 2.200 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.500 NA in 2000 and a record low of 2.000 NA in 2016. ID: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
2.000 2016 | yearly | 2000 - 2016 |
View Indonesia's Indonesia ID: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Indonesia ID: Suicide Mortality Rate: Male
ID: Suicide Mortality Rate: Male data was reported at 4.800 NA in 2016. This stayed constant from the previous number of 4.800 NA for 2015. ID: Suicide Mortality Rate: Male data is updated yearly, averaging 5.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 5.300 NA in 2005 and a record low of 4.800 NA in 2016. ID: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
4.800 2016 | yearly | 2000 - 2016 |