Chile Social: Health Statistics
CL: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
CL: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 22.793 Ratio in 2022. This records a decrease from the previous number of 24.082 Ratio for 2021. CL: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 68.820 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 92.987 Ratio in 1969 and a record low of 22.793 Ratio in 2022. CL: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.;United Nations Population Division, World Population Prospects.;Weighted average;This is the Sustainable Development Goal indicator 3.7.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 22.793 2022 | yearly | 1960 - 2022 |
View Chile's CL: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2022 in the chart:
CL: Antiretroviral Therapy Coverage: % of People Living with HIV
CL: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 74.000 % in 2022. This stayed constant from the previous number of 74.000 % for 2021. CL: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 43.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 75.000 % in 2020 and a record low of 10.000 % in 2000. CL: Antiretroviral Therapy Coverage: % of People Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 74.000 2022 | yearly | 2000 - 2022 |
View Chile's CL: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2022 in the chart:
CL: Births Attended by Skilled Health Staff: % of Total
CL: Births Attended by Skilled Health Staff: % of Total data was reported at 99.800 % in 2019. This stayed constant from the previous number of 99.800 % for 2018. CL: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.800 % from Dec 1993 (Median) to 2019, with 27 observations. The data reached an all-time high of 99.900 % in 2011 and a record low of 99.000 % in 1993. CL: Births Attended by Skilled Health Staff: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women. This is the Sustainable Development Goal indicator 3.1.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 99.800 2019 | yearly | 1993 - 2019 |
View Chile's CL: Births Attended by Skilled Health Staff: % of Total from 1993 to 2019 in the chart:
CL: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
CL: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 7.112 % in 2019. This records a decrease from the previous number of 7.516 % for 2015. CL: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 7.826 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 10.850 % in 2000 and a record low of 7.112 % in 2019. CL: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7.112 2019 | yearly | 2000 - 2019 |
View Chile's CL: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2019 in the chart:
CL: Cause of Death: by Injury: % of Total
CL: Cause of Death: by Injury: % of Total data was reported at 7.763 % in 2019. This records a decrease from the previous number of 7.805 % for 2015. CL: Cause of Death: by Injury: % of Total data is updated yearly, averaging 8.094 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 10.078 % in 2000 and a record low of 7.763 % in 2019. CL: Cause of Death: by Injury: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7.763 2019 | yearly | 2000 - 2019 |
View Chile's CL: Cause of Death: by Injury: % of Total from 2000 to 2019 in the chart:
CL: Cause of Death: by Non-Communicable Diseases: % of Total
CL: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 85.125 % in 2019. This records an increase from the previous number of 84.679 % for 2015. CL: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 84.080 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 85.125 % in 2019 and a record low of 79.072 % in 2000. CL: Cause of Death: by Non-Communicable Diseases: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.;Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 85.125 2019 | yearly | 2000 - 2019 |
View Chile's CL: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2019 in the chart:
CL: Children: 0-14 Living with HIV
CL: Children: 0-14 Living with HIV data was reported at 500.000 Person in 2022. This stayed constant from the previous number of 500.000 Person for 2021. CL: Children: 0-14 Living with HIV data is updated yearly, averaging 200.000 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 500.000 Person in 2022 and a record low of 100.000 Person in 1997. CL: Children: 0-14 Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.;UNAIDS estimates.;;
| Last | Frequency | Range |
|---|---|---|
| 500.000 2022 | yearly | 1990 - 2022 |
View Chile's CL: Children: 0-14 Living with HIV from 1990 to 2022 in the chart:
CL: Diabetes Prevalence: % of Population Aged 20-79
CL: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 10.800 % in 2021. This records an increase from the previous number of 9.500 % for 2011. CL: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 10.150 % from Dec 2011 (Median) to 2021, with 2 observations. The data reached an all-time high of 10.800 % in 2021 and a record low of 9.500 % in 2011. CL: Diabetes Prevalence: % of Population Aged 20-79 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.;International Diabetes Federation, Diabetes Atlas.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 10.800 2021 | yearly | 2011 - 2021 |
View Chile's CL: Diabetes Prevalence: % of Population Aged 20-79 from 2011 to 2021 in the chart:
CL: Female Adults with HIV: % of Population Aged 15+ with HIV
CL: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 16.235 % in 2022. This records a decrease from the previous number of 16.244 % for 2021. CL: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 15.225 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 16.266 % in 2020 and a record low of 13.666 % in 1990. CL: Female Adults with HIV: % of Population Aged 15+ with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 16.235 2022 | yearly | 1990 - 2022 |
View Chile's CL: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2022 in the chart:
CL: Fertility Rate: Total: Births per Woman
CL: Fertility Rate: Total: Births per Woman data was reported at 1.539 Ratio in 2022. This records an increase from the previous number of 1.537 Ratio for 2021. CL: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.558 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 4.697 Ratio in 1960 and a record low of 1.537 Ratio in 2021. CL: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.;Weighted average;Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 1.539 2022 | yearly | 1960 - 2022 |
View Chile's CL: Fertility Rate: Total: Births per Woman from 1960 to 2022 in the chart:
CL: Hospital Beds: per 1000 People
CL: Hospital Beds: per 1000 People data was reported at 2.060 Number in 2018. This records a decrease from the previous number of 2.110 Number for 2017. CL: Hospital Beds: per 1000 People data is updated yearly, averaging 2.320 Number from Dec 1960 (Median) to 2018, with 26 observations. The data reached an all-time high of 3.776 Number in 1970 and a record low of 2.040 Number in 2010. CL: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.;Data are from the World Health Organization, supplemented by country data.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.060 2018 | yearly | 1960 - 2018 |
View Chile's CL: Hospital Beds: per 1000 People from 1960 to 2018 in the chart:
CL: Immunization: HepB3: % of One-Year-Old Children
CL: Immunization: HepB3: % of One-Year-Old Children data was reported at 98.000 % in 2021. This records an increase from the previous number of 93.000 % for 2020. CL: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 94.500 % from Dec 2006 (Median) to 2021, with 16 observations. The data reached an all-time high of 98.000 % in 2021 and a record low of 90.000 % in 2013. CL: Immunization: HepB3: % of One-Year-Old Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.;WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 98.000 2021 | yearly | 2006 - 2021 |
View Chile's CL: Immunization: HepB3: % of One-Year-Old Children from 2006 to 2021 in the chart:
CL: Immunization: Measles: % of Children Aged 12-23 Months
CL: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 94.000 % in 2022. This records an increase from the previous number of 92.000 % for 2021. CL: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 94.000 % from Dec 1980 (Median) to 2022, with 43 observations. The data reached an all-time high of 99.000 % in 1991 and a record low of 89.000 % in 1992. CL: Immunization: Measles: % of Children Aged 12-23 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.;WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 94.000 2022 | yearly | 1980 - 2022 |
View Chile's CL: Immunization: Measles: % of Children Aged 12-23 Months from 1980 to 2022 in the chart:
CL: Incidence of HIV: per 1,000 Uninfected Population
CL: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.250 Ratio in 2022. This records an increase from the previous number of 0.240 Ratio for 2021. CL: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.160 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.250 Ratio in 2022 and a record low of 0.050 Ratio in 1990. CL: Incidence of HIV: per 1,000 Uninfected Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.250 2022 | yearly | 1990 - 2022 |
View Chile's CL: Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2022 in the chart:
CL: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
CL: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.410 Ratio in 2022. This stayed constant from the previous number of 0.410 Ratio for 2021. CL: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.250 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.410 Ratio in 2022 and a record low of 0.080 Ratio in 1990. CL: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.410 2022 | yearly | 1990 - 2022 |
View Chile's CL: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2022 in the chart:
CL: Incidence of Tuberculosis: per 100,000 People
CL: Incidence of Tuberculosis: per 100,000 People data was reported at 17.000 Ratio in 2022. This records an increase from the previous number of 16.000 Ratio for 2021. CL: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 17.000 Ratio from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 23.000 Ratio in 2000 and a record low of 14.000 Ratio in 2020. CL: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization. This is the Sustainable Development Goal indicator 3.3.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 17.000 2022 | yearly | 2000 - 2022 |
View Chile's CL: Incidence of Tuberculosis: per 100,000 People from 2000 to 2022 in the chart:
CL: Intentional Homicides: per 100,000 People
CL: Intentional Homicides: per 100,000 People data was reported at 3.632 Ratio in 2021. This records a decrease from the previous number of 4.798 Ratio for 2020. CL: Intentional Homicides: per 100,000 People data is updated yearly, averaging 3.586 Ratio from Dec 2003 (Median) to 2021, with 18 observations. The data reached an all-time high of 4.798 Ratio in 2020 and a record low of 2.345 Ratio in 2015. CL: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Intentional homicides are estimates of unlawful 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.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.632 2021 | yearly | 2003 - 2021 |
View Chile's CL: Intentional Homicides: per 100,000 People from 2003 to 2021 in the chart:
CL: Life Expectancy at Birth: Female
CL: Life Expectancy at Birth: Female data was reported at 81.877 Year in 2022. This records an increase from the previous number of 81.437 Year for 2021. CL: Life Expectancy at Birth: Female data is updated yearly, averaging 76.794 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 82.711 Year in 2019 and a record low of 59.414 Year in 1960. CL: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 81.877 2022 | yearly | 1960 - 2022 |
View Chile's CL: Life Expectancy at Birth: Female from 1960 to 2022 in the chart:
CL: Life Expectancy at Birth: Male
CL: Life Expectancy at Birth: Male data was reported at 77.156 Year in 2022. This records an increase from the previous number of 76.472 Year for 2021. CL: Life Expectancy at Birth: Male data is updated yearly, averaging 70.376 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 78.015 Year in 2017 and a record low of 54.438 Year in 1963. CL: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 77.156 2022 | yearly | 1960 - 2022 |
View Chile's CL: Life Expectancy at Birth: Male from 1960 to 2022 in the chart:
CL: Life Expectancy at Birth: Total
CL: Life Expectancy at Birth: Total data was reported at 79.519 Year in 2022. This records an increase from the previous number of 78.944 Year for 2021. CL: Life Expectancy at Birth: Total data is updated yearly, averaging 73.574 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 80.350 Year in 2017 and a record low of 57.015 Year in 1960. CL: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 79.519 2022 | yearly | 1960 - 2022 |
View Chile's CL: Life Expectancy at Birth: Total from 1960 to 2022 in the chart:
CL: Lifetime Risk Of Maternal Death
CL: Lifetime Risk Of Maternal Death data was reported at 0.026 % in 2020. This records an increase from the previous number of 0.025 % for 2019. CL: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.041 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 0.071 % in 2001 and a record low of 0.025 % in 2019. CL: Lifetime Risk Of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.022 2017 | yearly | 2000 - 2017 |
View Chile's CL: Lifetime Risk Of Maternal Death from 2000 to 2017 in the chart:
CL: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
CL: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 3,800.000 NA in 2020. This records a decrease from the previous number of 3,900.000 NA for 2019. CL: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 2,500.000 NA from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 3,900.000 NA in 2019 and a record low of 1,400.000 NA in 2001. CL: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3,800.000 2020 | yearly | 2000 - 2020 |
View Chile's CL: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 2000 to 2020 in the chart:
CL: Low-Birthweight Babies: % of Births
CL: Low-Birthweight Babies: % of Births data was reported at 6.247 % in 2015. This records an increase from the previous number of 6.175 % for 2014. CL: Low-Birthweight Babies: % of Births data is updated yearly, averaging 5.799 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 6.247 % in 2015 and a record low of 5.244 % in 2000. CL: Low-Birthweight Babies: % of Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hour of life, before significant postnatal weight loss has occurred.;UNICEF-WHO Low birthweight estimates [data.unicef.org];Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.247 2015 | yearly | 2000 - 2015 |
View Chile's CL: Low-Birthweight Babies: % of Births from 2000 to 2015 in the chart:
CL: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
CL: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 15.000 Ratio in 2020. This stayed constant from the previous number of 15.000 Ratio for 2019. CL: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 23.000 Ratio from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 34.000 Ratio in 2001 and a record low of 15.000 Ratio in 2020. CL: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 15.000 2020 | yearly | 2000 - 2020 |
View Chile's CL: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 2000 to 2020 in the chart:
CL: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
CL: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 10.000 Ratio in 2017. This records a decrease from the previous number of 16.000 Ratio for 2016. CL: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 19.500 Ratio from Dec 1985 (Median) to 2017, with 32 observations. The data reached an all-time high of 47.000 Ratio in 1987 and a record low of 10.000 Ratio in 2017. CL: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.;The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;;
| Last | Frequency | Range |
|---|---|---|
| 10.000 2017 | yearly | 1985 - 2017 |
View Chile's CL: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1985 to 2017 in the chart:
CL: Mortality Caused by Road Traffic Injury: per 100,000 People
CL: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 14.900 Number in 2019. This records an increase from the previous number of 14.000 Number for 2018. CL: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 14.000 Number from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 18.700 Number in 2006 and a record low of 11.700 Number in 2012. CL: Mortality Caused by Road Traffic Injury: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.6.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 14.900 2019 | yearly | 2000 - 2019 |
View Chile's CL: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2019 in the chart:
CL: Mortality Rate: Adult: Female: per 1000 Female Adults
CL: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 64.749 Ratio in 2022. This records a decrease from the previous number of 68.283 Ratio for 2021. CL: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 88.229 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 230.924 Ratio in 1963 and a record low of 57.495 Ratio in 2017. CL: Mortality Rate: Adult: Female: per 1000 Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 64.749 2022 | yearly | 1960 - 2022 |
View Chile's CL: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2022 in the chart:
CL: Mortality Rate: Adult: Male: per 1000 Male Adults
CL: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 117.232 Ratio in 2022. This records a decrease from the previous number of 126.526 Ratio for 2021. CL: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 170.881 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 358.329 Ratio in 1963 and a record low of 102.154 Ratio in 2017. CL: Mortality Rate: Adult: Male: per 1000 Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.;(1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 117.232 2022 | yearly | 1960 - 2022 |
View Chile's CL: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2022 in the chart:
CL: Mortality Rate: Infant: per 1000 Live Births
CL: Mortality Rate: Infant: per 1000 Live Births data was reported at 5.400 Ratio in 2022. This records a decrease from the previous number of 5.700 Ratio for 2021. CL: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 14.900 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 125.600 Ratio in 1960 and a record low of 5.400 Ratio in 2022. CL: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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 2022 | yearly | 1960 - 2022 |
View Chile's CL: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2022 in the chart:
CL: Mortality Rate: Neonatal: per 1000 Live Births
CL: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 4.100 Ratio in 2022. This records a decrease from the previous number of 4.300 Ratio for 2021. CL: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 6.500 Ratio from Dec 1968 (Median) to 2022, with 55 observations. The data reached an all-time high of 34.000 Ratio in 1968 and a record low of 4.100 Ratio in 2022. CL: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. 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. This is the Sustainable Development Goal indicator 3.2.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 4.100 2022 | yearly | 1968 - 2022 |
View Chile's CL: Mortality Rate: Neonatal: per 1000 Live Births from 1968 to 2022 in the chart:
CL: Mortality Rate: Under-5: Female: per 1000 Live Births
CL: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 5.800 Ratio in 2022. This records a decrease from the previous number of 6.000 Ratio for 2021. CL: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 15.900 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 143.800 Ratio in 1960 and a record low of 5.800 Ratio in 2022. CL: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 5.800 2022 | yearly | 1960 - 2022 |
View Chile's CL: Mortality Rate: Under-5: Female: per 1000 Live Births from 1960 to 2022 in the chart:
CL: Mortality Rate: Under-5: Male: per 1000 Live Births
CL: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 6.800 Ratio in 2022. This records a decrease from the previous number of 7.100 Ratio for 2021. CL: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 19.300 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 161.400 Ratio in 1960 and a record low of 6.800 Ratio in 2022. CL: Mortality Rate: Under-5: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 6.800 2022 | yearly | 1960 - 2022 |
View Chile's CL: Mortality Rate: Under-5: Male: per 1000 Live Births from 1960 to 2022 in the chart:
CL: Mortality Rate: Under-5: per 1000 Live Births
CL: Mortality Rate: Under-5: per 1000 Live Births data was reported at 6.300 Ratio in 2022. This records a decrease from the previous number of 6.600 Ratio for 2021. CL: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 17.600 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 152.800 Ratio in 1960 and a record low of 6.300 Ratio in 2022. CL: Mortality Rate: Under-5: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, 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;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys. 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. This is the Sustainable Development Goal indicator 3.2.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 6.300 2022 | yearly | 1960 - 2022 |
View Chile's CL: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2022 in the chart:
CL: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
CL: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 10.000 % in 2019. This records a decrease from the previous number of 10.300 % for 2018. CL: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 12.900 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 14.700 % in 2001 and a record low of 10.000 % in 2019. CL: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 10.000 2019 | yearly | 2000 - 2019 |
View Chile's CL: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2019 in the chart:
CL: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
CL: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 4,800.000 Number in 2022. This records an increase from the previous number of 4,700.000 Number for 2021. CL: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 2,400.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 4,800.000 Number in 2022 and a record low of 650.000 Number in 1990. CL: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 4,800.000 2022 | yearly | 1990 - 2022 |
View Chile's CL: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2022 in the chart:
CL: Newly Infected with HIV: Adults: Aged 15-24
CL: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 1,100.000 Number in 2022. This stayed constant from the previous number of 1,100.000 Number for 2021. CL: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 1,000.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1,100.000 Number in 2022 and a record low of 200.000 Number in 1990. CL: Newly Infected with HIV: Adults: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of young people (ages 15-24) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,100.000 2022 | yearly | 1990 - 2022 |
View Chile's CL: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2022 in the chart:
CL: Newly Infected with HIV: Adults: Aged 15-49
CL: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 4,500.000 Number in 2022. This records an increase from the previous number of 4,400.000 Number for 2021. CL: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 2,300.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 4,500.000 Number in 2022 and a record low of 1,000.000 Number in 1992. CL: Newly Infected with HIV: Adults: Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15-49) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 4,500.000 2022 | yearly | 1990 - 2022 |
View Chile's CL: Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2022 in the chart:
CL: Newly Infected with HIV: Children: Aged 0-14
CL: Newly Infected with HIV: Children: Aged 0-14 data was reported at 100.000 Number in 2022. This stayed constant from the previous number of 100.000 Number for 2021. CL: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 100.000 Number in 2022 and a record low of 100.000 Number in 2022. CL: Newly Infected with HIV: Children: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 100.000 2022 | yearly | 1990 - 2022 |
View Chile's CL: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2022 in the chart:
CL: Number of Death: Infant
CL: Number of Death: Infant data was reported at 1,247.000 Person in 2022. This records a decrease from the previous number of 1,293.000 Person for 2021. CL: Number of Death: Infant data is updated yearly, averaging 4,409.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 35,201.000 Person in 1960 and a record low of 1,247.000 Person in 2022. CL: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of infants dying before reaching one year of age.;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 |
|---|---|---|
| 1,247.000 2022 | yearly | 1960 - 2022 |
View Chile's CL: Number of Death: Infant from 1960 to 2022 in the chart:
CL: Number of Death: Neonatal
CL: Number of Death: Neonatal data was reported at 942.000 Person in 2022. This records a decrease from the previous number of 978.000 Person for 2021. CL: Number of Death: Neonatal data is updated yearly, averaging 1,765.000 Person from Dec 1969 (Median) to 2022, with 54 observations. The data reached an all-time high of 8,882.000 Person in 1969 and a record low of 942.000 Person in 2022. CL: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of neonates dying before reaching 28 days of age.;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. This indicator is related to Sustainable Development Goal 3.2.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 942.000 2022 | yearly | 1969 - 2022 |
View Chile's CL: Number of Death: Neonatal from 1969 to 2022 in the chart:
CL: Number of Death: Under-5
CL: Number of Death: Under-5 data was reported at 1,441.000 Person in 2022. This records a decrease from the previous number of 1,495.000 Person for 2021. CL: Number of Death: Under-5 data is updated yearly, averaging 5,199.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 42,801.000 Person in 1960 and a record low of 1,441.000 Person in 2022. CL: Number of Death: Under-5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Number of children dying before reaching age five.;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 |
|---|---|---|
| 1,441.000 2022 | yearly | 1960 - 2022 |
View Chile's CL: Number of Death: Under-5 from 1960 to 2022 in the chart:
CL: Number of Maternal Death
CL: Number of Maternal Death data was reported at 34.000 Person in 2020. This records an increase from the previous number of 33.000 Person for 2019. CL: Number of Maternal Death data is updated yearly, averaging 57.000 Person from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 83.000 Person in 2001 and a record low of 33.000 Person in 2019. CL: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Sum;
| Last | Frequency | Range |
|---|---|---|
| 29.000 2017 | yearly | 2000 - 2017 |
View Chile's CL: Number of Maternal Death from 2000 to 2017 in the chart:
CL: Nurses and Midwives: per 1000 People
CL: Nurses and Midwives: per 1000 People data was reported at 4.348 Ratio in 2020. This records a decrease from the previous number of 4.789 Ratio for 2019. CL: Nurses and Midwives: per 1000 People data is updated yearly, averaging 4.789 Ratio from Dec 2010 (Median) to 2020, with 11 observations. The data reached an all-time high of 13.325 Ratio in 2018 and a record low of 1.267 Ratio in 2010. CL: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 4.348 2020 | yearly | 2010 - 2020 |
View Chile's CL: Nurses and Midwives: per 1000 People from 2010 to 2020 in the chart:
CL: Physicians: per 1000 People
CL: Physicians: per 1000 People data was reported at 2.835 Ratio in 2020. This records an increase from the previous number of 2.661 Ratio for 2019. CL: Physicians: per 1000 People data is updated yearly, averaging 1.040 Ratio from Dec 1960 (Median) to 2020, with 27 observations. The data reached an all-time high of 2.835 Ratio in 2020 and a record low of 0.463 Ratio in 1970. CL: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Physicians include generalist and specialist medical practitioners.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 2.835 2020 | yearly | 1960 - 2020 |
View Chile's CL: Physicians: per 1000 People from 1960 to 2020 in the chart:
CL: Prevalence of Anemia among Children: % of Children Aged 6-59 Months
CL: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data was reported at 20.100 % in 2019. This records an increase from the previous number of 19.700 % for 2018. CL: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data is updated yearly, averaging 19.500 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 20.900 % in 2000 and a record low of 19.300 % in 2015. CL: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 20.100 2019 | yearly | 2000 - 2019 |
View Chile's CL: Prevalence of Anemia among Children: % of Children Aged 6-59 Months from 2000 to 2019 in the chart:
CL: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
CL: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 8.400 % in 2019. This records an increase from the previous number of 8.100 % for 2018. CL: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 7.800 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 8.700 % in 2000 and a record low of 7.500 % in 2012. CL: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.400 2019 | yearly | 2000 - 2019 |
View Chile's CL: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 2000 to 2019 in the chart:
CL: Prevalence of Anemia among Pregnant Women: %
CL: Prevalence of Anemia among Pregnant Women: % data was reported at 19.400 % in 2019. This records an increase from the previous number of 19.300 % for 2018. CL: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 19.950 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 23.300 % in 2000 and a record low of 19.200 % in 2016. CL: Prevalence of Anemia among Pregnant Women: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 19.400 2019 | yearly | 2000 - 2019 |
View Chile's CL: Prevalence of Anemia among Pregnant Women: % from 2000 to 2019 in the chart:
CL: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
CL: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 8.700 % in 2019. This records an increase from the previous number of 8.500 % for 2018. CL: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 8.150 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 9.200 % in 2000 and a record low of 7.900 % in 2013. CL: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.700 2019 | yearly | 2000 - 2019 |
View Chile's CL: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 2000 to 2019 in the chart:
CL: Prevalence of Current Tobacco Use: % of Adults
CL: Prevalence of Current Tobacco Use: % of Adults data was reported at 29.200 % in 2020. This records a decrease from the previous number of 29.900 % for 2019. CL: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 32.900 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 46.900 % in 2000 and a record low of 29.200 % in 2020. CL: Prevalence of Current Tobacco Use: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, total (ages 15+) The previous indicator excluded smokeless tobacco use, while the current indicator includes. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 29.200 2020 | yearly | 2000 - 2020 |
View Chile's CL: Prevalence of Current Tobacco Use: % of Adults from 2000 to 2020 in the chart:
CL: Prevalence of Current Tobacco Use: Females: % of Female Adults
CL: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 26.800 % in 2020. This records a decrease from the previous number of 27.500 % for 2019. CL: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 30.200 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 42.400 % in 2000 and a record low of 26.800 % in 2020. CL: Prevalence of Current Tobacco Use: Females: % of Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 26.800 2020 | yearly | 2000 - 2020 |
View Chile's CL: Prevalence of Current Tobacco Use: Females: % of Female Adults from 2000 to 2020 in the chart:
CL: Prevalence of Current Tobacco Use: Males: % of Male Adults
CL: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 31.600 % in 2020. This records a decrease from the previous number of 32.300 % for 2019. CL: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 35.500 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 51.300 % in 2000 and a record low of 31.600 % in 2020. CL: Prevalence of Current Tobacco Use: Males: % of Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, males (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 31.600 2020 | yearly | 2000 - 2020 |
View Chile's CL: Prevalence of Current Tobacco Use: Males: % of Male Adults from 2000 to 2020 in the chart:
CL: Prevalence of HIV: Female: % Aged 15-24
CL: Prevalence of HIV: Female: % Aged 15-24 data was reported at 0.100 % in 2022. This stayed constant from the previous number of 0.100 % for 2021. CL: Prevalence of HIV: Female: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.100 % in 2022 and a record low of 0.100 % in 2022. CL: Prevalence of HIV: Female: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.100 2022 | yearly | 1990 - 2022 |
View Chile's CL: Prevalence of HIV: Female: % Aged 15-24 from 1990 to 2022 in the chart:
CL: Prevalence of HIV: Male: % Aged 15-24
CL: Prevalence of HIV: Male: % Aged 15-24 data was reported at 0.300 % in 2022. This stayed constant from the previous number of 0.300 % for 2021. CL: Prevalence of HIV: Male: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.300 % in 2022 and a record low of 0.100 % in 2009. CL: Prevalence of HIV: Male: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women being especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.300 2022 | yearly | 1990 - 2022 |
View Chile's CL: Prevalence of HIV: Male: % Aged 15-24 from 1990 to 2022 in the chart:
CL: Prevalence of HIV: Total: % of Population Aged 15-49
CL: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.600 % in 2022. This stayed constant from the previous number of 0.600 % for 2021. CL: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.200 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.600 % in 2022 and a record low of 0.100 % in 1997. CL: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.600 2022 | yearly | 1990 - 2022 |
View Chile's CL: Prevalence of HIV: Total: % of Population Aged 15-49 from 1990 to 2022 in the chart:
CL: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population
CL: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 17.400 % in 2020. This records an increase from the previous number of 17.300 % for 2019. CL: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 14.500 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 17.400 % in 2020 and a record low of 10.800 % in 2015. CL: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 17.400 2020 | yearly | 2015 - 2020 |
View Chile's CL: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population from 2015 to 2020 in the chart:
CL: Prevalence of Overweight: Weight for Height: % of Children Under 5
CL: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 9.300 % in 2014. This records a decrease from the previous number of 10.100 % for 2013. CL: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 11.200 % from Dec 1986 (Median) to 2014, with 15 observations. The data reached an all-time high of 15.400 % in 1986 and a record low of 9.300 % in 2014. CL: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.OWGH.ME.ZS for aggregation;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 9.300 2014 | yearly | 1986 - 2014 |
View Chile's CL: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1986 to 2014 in the chart:
CL: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
CL: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 8.800 % in 2022. This records a decrease from the previous number of 8.900 % for 2021. CL: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 10.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 11.500 % in 2003 and a record low of 8.800 % in 2022. CL: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 8.800 2022 | yearly | 2000 - 2022 |
View Chile's CL: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
CL: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
CL: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 8.700 % in 2014. This records a decrease from the previous number of 9.500 % for 2013. CL: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 9.100 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 9.500 % in 2013 and a record low of 8.700 % in 2014. CL: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 8.700 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
CL: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 10.000 % in 2014. This records a decrease from the previous number of 10.700 % for 2013. CL: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 10.000 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 10.700 % in 2013 and a record low of 9.800 % in 2008. CL: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 10.000 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Severe Food Insecurity in the Population: % of population
CL: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 4.100 % in 2021. This records an increase from the previous number of 3.800 % for 2020. CL: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 3.600 % from Dec 2015 (Median) to 2021, with 7 observations. The data reached an all-time high of 4.100 % in 2021 and a record low of 2.900 % in 2015. CL: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 4.100 2021 | yearly | 2015 - 2021 |
View Chile's CL: Prevalence of Severe Food Insecurity in the Population: % of population from 2015 to 2021 in the chart:
CL: Prevalence of Stunting: Height for Age: % of Children Under 5
CL: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 1.800 % in 2014. This stayed constant from the previous number of 1.800 % for 2013. CL: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 2.500 % from Dec 1986 (Median) to 2014, with 15 observations. The data reached an all-time high of 13.500 % in 1986 and a record low of 1.800 % in 2014. CL: Prevalence of Stunting: Height for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.STNT.ME.ZS for aggregation;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 1.800 2014 | yearly | 1986 - 2014 |
View Chile's CL: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1986 to 2014 in the chart:
CL: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
CL: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 1.600 % in 2022. This stayed constant from the previous number of 1.600 % for 2021. CL: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 1.900 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 2.900 % in 2000 and a record low of 1.600 % in 2022. CL: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 1.600 2022 | yearly | 2000 - 2022 |
View Chile's CL: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
CL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
CL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 1.600 % in 2014. This stayed constant from the previous number of 1.600 % for 2013. CL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 1.600 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 1.800 % in 2008 and a record low of 1.600 % in 2014. CL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 1.600 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Stunting: Height for Age: Male: % of Children Under 5
CL: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 2.100 % in 2014. This records an increase from the previous number of 2.000 % for 2013. CL: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 2.100 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 2.200 % in 2008 and a record low of 2.000 % in 2013. CL: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 2.100 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Undernourishment: % of Population
CL: Prevalence of Undernourishment: % of Population data was reported at 2.600 % in 2020. This stayed constant from the previous number of 2.600 % for 2019. CL: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 3.100 % from Dec 2001 (Median) to 2020, with 20 observations. The data reached an all-time high of 3.500 % in 2009 and a record low of 2.600 % in 2020. CL: Prevalence of Undernourishment: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.;Food and Agriculture Organization (http://www.fao.org/faostat/en/#home).;Weighted average;This is the Sustainable Development Goal indicator 2.1.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 2.600 2020 | yearly | 2001 - 2020 |
View Chile's CL: Prevalence of Undernourishment: % of Population from 2001 to 2020 in the chart:
CL: Prevalence of Underweight: Weight for Age: % of Children Under 5
CL: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 0.500 % in 2014. This stayed constant from the previous number of 0.500 % for 2013. CL: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 0.700 % from Dec 1986 (Median) to 2014, with 15 observations. The data reached an all-time high of 2.200 % in 1986 and a record low of 0.500 % in 2014. CL: Prevalence of Underweight: Weight for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.500 2014 | yearly | 1986 - 2014 |
View Chile's CL: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1986 to 2014 in the chart:
CL: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5
CL: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 0.400 % in 2014. This stayed constant from the previous number of 0.400 % for 2013. CL: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 0.400 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 0.500 % in 2008 and a record low of 0.400 % in 2014. CL: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.400 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5
CL: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 0.600 % in 2014. This stayed constant from the previous number of 0.600 % for 2013. CL: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 0.600 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 0.600 % in 2014 and a record low of 0.600 % in 2014. CL: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.600 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Wasting: Weight for Height: % of Children Under 5
CL: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 0.300 % in 2014. This stayed constant from the previous number of 0.300 % for 2013. CL: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 0.500 % from Dec 1986 (Median) to 2014, with 15 observations. The data reached an all-time high of 0.700 % in 1986 and a record low of 0.300 % in 2014. CL: Prevalence of Wasting: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.300 2014 | yearly | 1986 - 2014 |
View Chile's CL: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1986 to 2014 in the chart:
CL: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5
CL: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 0.200 % in 2014. This records a decrease from the previous number of 0.300 % for 2013. CL: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.200 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 0.300 % in 2013 and a record low of 0.200 % in 2014. CL: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.200 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5
CL: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 0.300 % in 2014. This stayed constant from the previous number of 0.300 % for 2013. CL: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 0.300 % from Dec 2008 (Median) to 2014, with 3 observations. The data reached an all-time high of 0.300 % in 2014 and a record low of 0.300 % in 2014. CL: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.300 2014 | yearly | 2008 - 2014 |
View Chile's CL: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 from 2008 to 2014 in the chart:
CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day
CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data was reported at 22.104 % in 2015. This records an increase from the previous number of 15.927 % for 2008. CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data is updated yearly, averaging 19.015 % from Dec 2008 (Median) to 2015, with 2 observations. The data reached an all-time high of 22.104 % in 2015 and a record low of 15.927 % in 2008. CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.;National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on February 14, 2023, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html;;This is the Sustainable Development Goal indicator 5.4.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 22.104 2015 | yearly | 2008 - 2015 |
View Chile's CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day from 2008 to 2015 in the chart:
CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day
CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day data was reported at 9.854 % in 2015. This records an increase from the previous number of 5.066 % for 2008. CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day data is updated yearly, averaging 7.460 % from Dec 2008 (Median) to 2015, with 2 observations. The data reached an all-time high of 9.854 % in 2015 and a record low of 5.066 % in 2008. CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.;National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on February 14, 2023, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html;;This is the Sustainable Development Goal indicator 5.4.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 9.854 2015 | yearly | 2008 - 2015 |
View Chile's CL: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day from 2008 to 2015 in the chart:
CL: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
CL: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 13.800 % in 2021. This records an increase from the previous number of 6.400 % for 2020. CL: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 9.100 % from Dec 2003 (Median) to 2021, with 19 observations. The data reached an all-time high of 25.300 % in 2003 and a record low of 6.400 % in 2020. CL: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.;The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/);Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 13.800 2021 | yearly | 2003 - 2021 |
View Chile's CL: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk from 2003 to 2021 in the chart:
CL: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk
CL: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 14.300 % in 2021. This records an increase from the previous number of 6.700 % for 2020. CL: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 8.100 % from Dec 2003 (Median) to 2021, with 19 observations. The data reached an all-time high of 19.700 % in 2003 and a record low of 5.800 % in 2017. CL: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $1.90 PPP/day).;The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/);Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.300 2021 | yearly | 2003 - 2021 |
View Chile's CL: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk from 2003 to 2021 in the chart:
CL: Suicide Mortality Rate: per 100,000 Population
CL: Suicide Mortality Rate: per 100,000 Population data was reported at 9.000 Ratio in 2019. This records an increase from the previous number of 8.800 Ratio for 2018. CL: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 10.000 Ratio from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 12.700 Ratio in 2009 and a record low of 8.800 Ratio in 2018. CL: Suicide Mortality Rate: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 9.000 2019 | yearly | 2000 - 2019 |
View Chile's CL: Suicide Mortality Rate: per 100,000 Population from 2000 to 2019 in the chart:
CL: Survival To Age 65: Female: % of Cohort
CL: Survival To Age 65: Female: % of Cohort data was reported at 89.509 % in 2022. This records an increase from the previous number of 88.958 % for 2021. CL: Survival To Age 65: Female: % of Cohort data is updated yearly, averaging 85.200 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 90.563 % in 2017 and a record low of 58.778 % in 1960. CL: Survival To Age 65: Female: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2022 Revision.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 89.509 2022 | yearly | 1960 - 2022 |
View Chile's CL: Survival To Age 65: Female: % of Cohort from 1960 to 2022 in the chart:
CL: Survival To Age 65: Male: % of Cohort
CL: Survival To Age 65: Male: % of Cohort data was reported at 82.484 % in 2022. This records an increase from the previous number of 81.177 % for 2021. CL: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 73.650 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 84.526 % in 2017 and a record low of 44.764 % in 1963. CL: Survival To Age 65: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2022 Revision.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 82.484 2022 | yearly | 1960 - 2022 |
View Chile's CL: Survival To Age 65: Male: % of Cohort from 1960 to 2022 in the chart:
CL: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+
CL: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data was reported at 6.746 l/Person in 2019. This records a decrease from the previous number of 7.753 l/Person for 2015. CL: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data is updated yearly, averaging 7.471 l/Person from Dec 2000 (Median) to 2019, with 5 observations. The data reached an all-time high of 7.791 l/Person in 2010 and a record low of 6.550 l/Person in 2000. CL: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.5.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 6.746 2019 | yearly | 2000 - 2019 |
View Chile's CL: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ from 2000 to 2019 in the chart:
CL: Tuberculosis Case Detection Rate: All Forms
CL: Tuberculosis Case Detection Rate: All Forms data was reported at 87.000 % in 2021. This stayed constant from the previous number of 87.000 % for 2020. CL: Tuberculosis Case Detection Rate: All Forms data is updated yearly, averaging 87.000 % from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 87.000 % in 2021 and a record low of 87.000 % in 2021. CL: Tuberculosis Case Detection Rate: All Forms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization.
| Last | Frequency | Range |
|---|---|---|
| 87.000 2021 | yearly | 2000 - 2021 |
View Chile's CL: Tuberculosis Case Detection Rate: All Forms from 2000 to 2021 in the chart:
CL: Tuberculosis Treatment Success Rate: % of New Cases
CL: Tuberculosis Treatment Success Rate: % of New Cases data was reported at 74.000 % in 2021. This records a decrease from the previous number of 77.000 % for 2020. CL: Tuberculosis Treatment Success Rate: % of New Cases data is updated yearly, averaging 75.500 % from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 86.000 % in 2002 and a record low of 44.000 % in 2012. CL: Tuberculosis Treatment Success Rate: % of New Cases data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ('cured' and 'treatment completed' respectively).;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization.
| Last | Frequency | Range |
|---|---|---|
| 74.000 2021 | yearly | 2000 - 2021 |
View Chile's CL: Tuberculosis Treatment Success Rate: % of New Cases from 2000 to 2021 in the chart:
Prevalence of Overweight: % of Adults
Prevalence of Overweight: % of Adults data was reported at 63.100 % in 2016. This records an increase from the previous number of 62.600 % for 2015. Prevalence of Overweight: % of Adults data is updated yearly, averaging 51.900 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 63.100 % in 2016 and a record low of 39.700 % in 1975. Prevalence of Overweight: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Health Statistics. Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;
| Last | Frequency | Range |
|---|---|---|
| 63.100 2016 | yearly | 1975 - 2016 |