Japan Health Statistics
Japan JP: (DC)Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
JP: (DC)Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 39.800 % in 2015. This records a decrease from the previous number of 54.700 % for 2014. JP: (DC)Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 56.300 % from Dec 1961 (Median) to 2015, with 25 observations. The data reached an all-time high of 64.500 % in 1987 and a record low of 39.800 % in 2015. JP: (DC)Contraceptive Prevalence: Any Methods: % 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 Japan – Table JP.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 40.40 2015 | yearly | 1961 - 2015 |
View Japan's Japan JP: (DC)Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1961 to 2015 in the chart:
Japan JP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
JP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 4.158 Ratio in 2016. This records a decrease from the previous number of 4.238 Ratio for 2015. JP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 4.232 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 5.659 Ratio in 2002 and a record low of 3.735 Ratio in 1977. JP: 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 Japan – Table JP.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 4.16 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Japan JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 2.900 NA in 2016. This records an increase from the previous number of 2.600 NA for 2010. JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 2.750 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 2.900 NA in 2016 and a record low of 2.600 NA in 2010. JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.900 2016 | yearly | 2010 - 2016 |
View Japan's Japan JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Japan JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 13.500 NA in 2016. This records an increase from the previous number of 12.000 NA for 2010. JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 12.750 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 13.500 NA in 2016 and a record low of 12.000 NA in 2010. JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 13.500 2016 | yearly | 2010 - 2016 |
View Japan's Japan JP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Japan JP: Antiretroviral Therapy Coverage: % of People Living with HIV
JP: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 82.000 % in 2017. This stayed constant from the previous number of 82.000 % for 2016. JP: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 57.500 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 82.000 % in 2017 and a record low of 25.000 % in 2000. JP: 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 Japan – Table JP.World Bank.WDI: 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 |
|---|---|---|
| 82.00 2017 | yearly | 2000 - 2017 |
View Japan's Japan JP: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2017 in the chart:
Japan JP: Births Attended by Skilled Health Staff: % of Total
JP: Births Attended by Skilled Health Staff: % of Total data was reported at 99.900 % in 2015. This records an increase from the previous number of 99.800 % for 2014. JP: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.800 % from Dec 1990 (Median) to 2015, with 18 observations. The data reached an all-time high of 100.000 % in 1996 and a record low of 99.800 % in 2014. JP: 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 Japan – Table JP.World Bank.WDI: 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.
| Last | Frequency | Range |
|---|---|---|
| 99.80 2014 | yearly | 1990 - 2014 |
View Japan's Japan JP: Births Attended by Skilled Health Staff: % of Total from 1990 to 2014 in the chart:
Japan JP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
JP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 12.700 % in 2016. This records a decrease from the previous number of 12.800 % for 2015. JP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 12.750 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 13.000 % in 2010 and a record low of 11.900 % in 2000. JP: 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 Japan – Table JP.World Bank.WDI: 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 WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 12.90 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2015 in the chart:
Japan JP: Cause of Death: by Injury: % of Total
JP: Cause of Death: by Injury: % of Total data was reported at 4.800 % in 2016. This records a decrease from the previous number of 5.300 % for 2015. JP: Cause of Death: by Injury: % of Total data is updated yearly, averaging 5.850 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 7.700 % in 2000 and a record low of 4.800 % in 2016. JP: 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 Japan – Table JP.World Bank.WDI: 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 WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.30 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: Cause of Death: by Injury: % of Total from 2000 to 2015 in the chart:
Japan JP: Cause of Death: by Non-Communicable Diseases: % of Total
JP: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 82.400 % in 2016. This records an increase from the previous number of 81.900 % for 2015. JP: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 81.300 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 82.400 % in 2016 and a record low of 80.400 % in 2000. JP: 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 Japan – Table JP.World Bank.WDI: 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 WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 81.80 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2015 in the chart:
Japan JP: Completeness of Infant Death Reporting
JP: Completeness of Infant Death Reporting data was reported at 91.843 % in 2009. This records a decrease from the previous number of 99.044 % for 2008. JP: Completeness of Infant Death Reporting data is updated yearly, averaging 96.724 % from Dec 2006 (Median) to 2009, with 3 observations. The data reached an all-time high of 99.044 % in 2008 and a record low of 91.843 % in 2009. JP: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
| Last | Frequency | Range |
|---|---|---|
| 91.84 2009 | yearly | 2006 - 2009 |
View Japan's Japan JP: Completeness of Infant Death Reporting from 2006 to 2009 in the chart:
Japan JP: Completeness of Total Death Reporting
JP: Completeness of Total Death Reporting data was reported at 100.000 % in 2009. This stayed constant from the previous number of 100.000 % for 2008. JP: Completeness of Total Death Reporting data is updated yearly, averaging 100.000 % from Dec 2006 (Median) to 2009, with 3 observations. The data reached an all-time high of 100.000 % in 2009 and a record low of 100.000 % in 2009. JP: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2009 | yearly | 2006 - 2009 |
View Japan's Japan JP: Completeness of Total Death Reporting from 2006 to 2009 in the chart:
Japan JP: Diabetes Prevalence: % of Population Aged 20-79
JP: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 5.720 % in 2017. JP: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 5.720 % from Dec 2017 (Median) to 2017, with 1 observations. JP: 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 Japan – Table JP.World Bank.WDI: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.72 2017 | yearly | 2017 - 2017 |
View Japan's Japan JP: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Japan JP: Fertility Rate: Total: Births per Woman
JP: Fertility Rate: Total: Births per Woman data was reported at 1.440 Ratio in 2016. This records a decrease from the previous number of 1.450 Ratio for 2015. JP: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.580 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.160 Ratio in 1971 and a record low of 1.260 Ratio in 2005. JP: 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 Japan – Table JP.World Bank: 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: 2017 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 |
|---|---|---|
| 1.44 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Japan JP: Hospital Beds: per 1000 People
JP: Hospital Beds: per 1000 People data was reported at 13.700 Number in 2009. This records a decrease from the previous number of 13.800 Number for 2008. JP: Hospital Beds: per 1000 People data is updated yearly, averaging 14.350 Number from Dec 1960 (Median) to 2009, with 20 observations. The data reached an all-time high of 15.600 Number in 1993 and a record low of 9.000 Number in 1960. JP: 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 Japan – Table JP.World Bank: 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 |
|---|---|---|
| 13.70 2009 | yearly | 1960 - 2009 |
View Japan's Japan JP: Hospital Beds: per 1000 People from 1960 to 2009 in the chart:
Japan JP: Immunization: DPT: % of Children Aged 12-23 Months
JP: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 99.000 % in 2017. This stayed constant from the previous number of 99.000 % for 2016. JP: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 96.000 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 99.000 % in 2017 and a record low of 70.000 % in 1997. JP: Immunization: DPT: % 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 Japan – Table JP.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 99.00 2016 | yearly | 1980 - 2016 |
View Japan's Japan JP: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Japan JP: Immunization: HepB3: % of One-Year-Old Children
JP: Immunization: HepB3: % of One-Year-Old Children data was reported at 99.000 % in 2019. JP: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 99.000 % from Dec 2019 (Median) to 2019, with 1 observations. JP: 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 Japan – Table JP.World Bank.WDI: 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 |
|---|---|---|
| 99.000 2019 | yearly | 2019 - 2019 |
View Japan's Japan JP: Immunization: HepB3: % of One-Year-Old Children from 2019 to 2019 in the chart:
Japan JP: Immunization: Measles: % of Children Aged 12-23 Months
JP: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 96.000 % in 2016. This stayed constant from the previous number of 96.000 % for 2015. JP: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 94.000 % from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 98.000 % in 2014 and a record low of 66.000 % in 1982. JP: 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 Japan – Table JP.World Bank: 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 |
|---|---|---|
| 96.00 2016 | yearly | 1980 - 2016 |
View Japan's Japan JP: Immunization: Measles: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Japan JP: Incidence of HIV: % of Uninfected Population Aged 15-49
JP: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.010 % in 2017. This stayed constant from the previous number of 0.010 % for 2016. JP: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.010 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.010 % in 2017 and a record low of 0.010 % in 2017. JP: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.01 2017 | yearly | 1990 - 2017 |
View Japan's Japan JP: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2017 in the chart:
JP: Incidence of HIV: per 1,000 Uninfected Population
JP: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.010 Ratio in 2020. This stayed constant from the previous number of 0.010 Ratio for 2019. JP: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.010 Ratio from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 0.010 Ratio in 2020 and a record low of 0.010 Ratio in 2020. JP: 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 Japan – Table JP.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 |
|---|---|---|
| 0.010 2020 | yearly | 1990 - 2020 |
View Japan's JP: Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2020 in the chart:
Japan JP: Incidence of Tuberculosis: per 100,000 People
JP: Incidence of Tuberculosis: per 100,000 People data was reported at 16.000 Ratio in 2016. This stayed constant from the previous number of 16.000 Ratio for 2015. JP: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 22.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 36.000 Ratio in 2000 and a record low of 16.000 Ratio in 2016. JP: 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 Japan – Table JP.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 16.00 2016 | yearly | 2000 - 2016 |
View Japan's Japan JP: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Japan JP: Intentional Homicides: Female: per 100,000 Female
JP: Intentional Homicides: Female: per 100,000 Female data was reported at 0.302 Ratio in 2016. This records a decrease from the previous number of 0.333 Ratio for 2015. JP: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.366 Ratio from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 0.517 Ratio in 2008 and a record low of 0.291 Ratio in 2013. JP: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.30 2016 | yearly | 2004 - 2016 |
View Japan's Japan JP: Intentional Homicides: Female: per 100,000 Female from 2004 to 2016 in the chart:
Japan JP: Intentional Homicides: Male: per 100,000 Male
JP: Intentional Homicides: Male: per 100,000 Male data was reported at 0.265 Ratio in 2016. This records an increase from the previous number of 0.232 Ratio for 2015. JP: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 0.363 Ratio from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 0.582 Ratio in 2004 and a record low of 0.232 Ratio in 2015. JP: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.26 2016 | yearly | 2004 - 2016 |
View Japan's Japan JP: Intentional Homicides: Male: per 100,000 Male from 2004 to 2016 in the chart:
Japan JP: Intentional Homicides: per 100,000 People
JP: Intentional Homicides: per 100,000 People data was reported at 0.300 Ratio in 2015. This stayed constant from the previous number of 0.300 Ratio for 2014. JP: Intentional Homicides: per 100,000 People data is updated yearly, averaging 0.500 Ratio from Mar 1996 (Median) to 2015, with 17 observations. The data reached an all-time high of 0.600 Ratio in 2005 and a record low of 0.300 Ratio in 2015. JP: 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 Japan – Table JP.World Bank: 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 |
|---|---|---|
| 0.30 2015 | yearly | 1996 - 2015 |
View Japan's Japan JP: Intentional Homicides: per 100,000 People from 1996 to 2015 in the chart:
Japan JP: Life Expectancy at Birth: Female
JP: Life Expectancy at Birth: Female data was reported at 87.140 Year in 2016. This records an increase from the previous number of 86.990 Year for 2015. JP: Life Expectancy at Birth: Female data is updated yearly, averaging 81.480 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 87.140 Year in 2016 and a record low of 70.140 Year in 1960. JP: 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 Japan – Table JP.World Bank: 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: 2017 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 |
|---|---|---|
| 87.14 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Japan JP: Life Expectancy at Birth: Male
JP: Life Expectancy at Birth: Male data was reported at 80.980 Year in 2016. This records an increase from the previous number of 80.750 Year for 2015. JP: Life Expectancy at Birth: Male data is updated yearly, averaging 75.630 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 80.980 Year in 2016 and a record low of 65.310 Year in 1960. JP: 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 Japan – Table JP.World Bank: 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: 2017 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 |
|---|---|---|
| 80.98 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Japan JP: Life Expectancy at Birth: Total
JP: Life Expectancy at Birth: Total data was reported at 83.985 Year in 2016. This records an increase from the previous number of 83.794 Year for 2015. JP: Life Expectancy at Birth: Total data is updated yearly, averaging 78.484 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 83.985 Year in 2016 and a record low of 67.666 Year in 1960. JP: 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 Japan – Table JP.World Bank: 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: 2017 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 |
|---|---|---|
| 83.98 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Japan JP: Lifetime Risk Of Maternal Death
JP: Lifetime Risk Of Maternal Death data was reported at 0.007 % in 2015. This records a decrease from the previous number of 0.008 % for 2014. JP: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.011 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.019 % in 1990 and a record low of 0.007 % in 2015. JP: 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 Japan – Table JP.World Bank: 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 the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.01 2015 | yearly | 1990 - 2015 |
View Japan's Japan JP: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Japan JP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
JP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 13,400.000 NA in 2015. This records an increase from the previous number of 13,200.000 NA for 2014. JP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 8,800.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 13,400.000 NA in 2015 and a record low of 5,200.000 NA in 1990. JP: 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 Japan – Table JP.World Bank: 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 the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 13,400.00 2015 | yearly | 1990 - 2015 |
View Japan's Japan JP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Japan JP: Low-Birthweight Babies: % of Births
JP: Low-Birthweight Babies: % of Births data was reported at 9.600 % in 2012. This records an increase from the previous number of 8.000 % for 2000. JP: Low-Birthweight Babies: % of Births data is updated yearly, averaging 8.800 % from Dec 2000 (Median) to 2012, with 2 observations. The data reached an all-time high of 9.600 % in 2012 and a record low of 8.000 % in 2000. JP: 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 Japan – Table JP.World Bank: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.60 2012 | yearly | 2000 - 2012 |
View Japan's Japan JP: Low-Birthweight Babies: % of Births from 2000 to 2012 in the chart:
Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 5.000 Ratio in 2015. This records a decrease from the previous number of 6.000 Ratio for 2014. JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 8.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 14.000 Ratio in 1990 and a record low of 5.000 Ratio in 2015. JP: 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 Japan – Table JP.World Bank: 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.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 5.00 2015 | yearly | 1990 - 2015 |
View Japan's Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Japan JP: Mortality Caused by Road Traffic Injury: per 100,000 People
JP: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 4.700 Number in 2015. This records a decrease from the previous number of 5.400 Number for 2010. JP: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 7.300 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 12.300 Number in 2000 and a record low of 4.700 Number in 2015. JP: 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 Japan – Table JP.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.70 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Japan JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 8.000 NA in 2016. JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 8.000 NA from Dec 2016 (Median) to 2016, with 1 observations. JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.000 2016 | yearly | 2016 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Japan JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 17.000 NA in 2016. JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 17.000 NA from Dec 2016 (Median) to 2016, with 1 observations. JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.000 2016 | yearly | 2016 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Japan JP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
JP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 11.900 Ratio in 2016. JP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 11.900 Ratio from Dec 2016 (Median) to 2016, with 1 observations. JP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.90 2016 | yearly | 2016 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Japan JP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
JP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.300 Ratio in 2016. This stayed constant from the previous number of 0.300 Ratio for 2015. JP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.300 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.300 Ratio in 2016 and a record low of 0.300 Ratio in 2016. JP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.30 2016 | yearly | 2000 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Japan JP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
JP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.600 Ratio in 2016. This stayed constant from the previous number of 0.600 Ratio for 2015. JP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.700 Ratio in 2010 and a record low of 0.600 Ratio in 2016. JP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.60 2016 | yearly | 2000 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Japan JP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
JP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.400 Ratio in 2016. This stayed constant from the previous number of 0.400 Ratio for 2015. JP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.400 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.500 Ratio in 2010 and a record low of 0.400 Ratio in 2016. JP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.40 2016 | yearly | 2000 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Japan JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.200 Ratio in 2016. JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.20 2016 | yearly | 2016 - 2016 |
View Japan's Japan JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Japan JP: Mortality Rate: Adult: Female: per 1000 Female Adults
JP: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 38.751 Ratio in 2014. This records a decrease from the previous number of 39.161 Ratio for 2013. JP: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 56.597 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 149.155 Ratio in 1960 and a record low of 38.751 Ratio in 2014. JP: 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 Japan – Table JP.World Bank: 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: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 38.75 2014 | yearly | 1960 - 2014 |
View Japan's Japan JP: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2014 in the chart:
Japan JP: Mortality Rate: Adult: Male: per 1000 Male Adults
JP: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 72.580 Ratio in 2014. This records a decrease from the previous number of 75.042 Ratio for 2013. JP: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 115.358 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 217.422 Ratio in 1960 and a record low of 72.580 Ratio in 2014. JP: 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 Japan – Table JP.World Bank: 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: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 72.58 2014 | yearly | 1960 - 2014 |
View Japan's Japan JP: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2014 in the chart:
Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births
JP: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 1.800 Ratio in 2017. This records a decrease from the previous number of 2.000 Ratio for 2015. JP: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 2.200 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 4.200 Ratio in 1990 and a record low of 1.800 Ratio in 2017. JP: Mortality Rate: Infant: 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 Japan – Table JP.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female 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.
| Last | Frequency | Range |
|---|---|---|
| 1.90 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Japan JP: Mortality Rate: Infant: Male: per 1000 Live Births
JP: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 2.100 Ratio in 2016. This stayed constant from the previous number of 2.100 Ratio for 2015. JP: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 2.500 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.900 Ratio in 1990 and a record low of 2.100 Ratio in 2016. JP: Mortality Rate: Infant: 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 Japan – Table JP.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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.
| Last | Frequency | Range |
|---|---|---|
| 2.10 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Japan JP: Mortality Rate: Infant: per 1000 Live Births
JP: Mortality Rate: Infant: per 1000 Live Births data was reported at 2.000 Ratio in 2016. This stayed constant from the previous number of 2.000 Ratio for 2015. JP: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 4.800 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 30.400 Ratio in 1960 and a record low of 2.000 Ratio in 2016. JP: 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 Japan – Table JP.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 2.00 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Japan JP: Mortality Rate: Neonatal: per 1000 Live Births
JP: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 0.900 Ratio in 2016. This stayed constant from the previous number of 0.900 Ratio for 2015. JP: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 2.400 Ratio from Dec 1968 (Median) to 2016, with 49 observations. The data reached an all-time high of 9.700 Ratio in 1968 and a record low of 0.900 Ratio in 2016. JP: 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 Japan – Table JP.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 0.90 2016 | yearly | 1968 - 2016 |
View Japan's Japan JP: Mortality Rate: Neonatal: per 1000 Live Births from 1968 to 2016 in the chart:
Japan JP: Mortality Rate: Under-5: Female: per 1000 Live Births
JP: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 2.500 Ratio in 2016. This records a decrease from the previous number of 2.900 Ratio for 2015. JP: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 3.000 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 5.700 Ratio in 1990 and a record low of 2.500 Ratio in 2016. JP: 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 Japan – Table JP.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Japan JP: Mortality Rate: Under-5: Male: per 1000 Live Births
JP: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 2.700 Ratio in 2017. This records a decrease from the previous number of 3.200 Ratio for 2015. JP: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 3.400 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.900 Ratio in 1990 and a record low of 2.700 Ratio in 2017. JP: 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 Japan – Table JP.World Bank: 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.
| Last | Frequency | Range |
|---|---|---|
| 2.80 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Japan JP: Mortality Rate: Under-5: per 1000 Live Births
JP: Mortality Rate: Under-5: per 1000 Live Births data was reported at 2.600 Ratio in 2017. This records a decrease from the previous number of 2.700 Ratio for 2016. JP: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 6.550 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 39.700 Ratio in 1960 and a record low of 2.600 Ratio in 2017. JP: 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 Japan – Table JP.World Bank.WDI: 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.
| Last | Frequency | Range |
|---|---|---|
| 2.70 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Japan JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 8.400 % in 2016. This records a decrease from the previous number of 8.600 % for 2015. JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 9.500 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 11.400 % in 2000 and a record low of 8.400 % in 2016. JP: 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 Japan – Table JP.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.00 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
Japan JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 5.700 NA in 2016. This records a decrease from the previous number of 5.800 NA for 2015. JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 6.300 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 7.500 NA in 2000 and a record low of 5.700 NA in 2016. JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.700 2016 | yearly | 2000 - 2016 |
View Japan's Japan JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Japan JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 11.200 NA in 2016. This records a decrease from the previous number of 11.500 NA for 2015. JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 12.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 15.500 NA in 2000 and a record low of 11.200 NA in 2016. JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.200 2016 | yearly | 2000 - 2016 |
View Japan's Japan JP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Japan JP: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
JP: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 1,500.000 Number in 2017. This stayed constant from the previous number of 1,500.000 Number for 2016. JP: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 1,300.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,500.000 Number in 2017 and a record low of 500.000 Number in 1994. JP: 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 Japan – Table JP.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,500.00 2017 | yearly | 1990 - 2017 |
View Japan's Japan JP: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2017 in the chart:
Japan JP: Newly Infected with HIV: Adults: Aged 15+
JP: Newly Infected with HIV: Adults: Aged 15+ data was reported at 1,400.000 Number in 2017. This records a decrease from the previous number of 1,500.000 Number for 2016. JP: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 1,300.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,500.000 Number in 2016 and a record low of 500.000 Number in 1994. JP: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,400.00 2017 | yearly | 1990 - 2017 |
View Japan's Japan JP: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2017 in the chart:
JP: Newly Infected with HIV: Adults: Aged 15-24
JP: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 100.000 Number in 2020. This stayed constant from the previous number of 100.000 Number for 2019. JP: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 200.000 Number in 2004 and a record low of 100.000 Number in 2020. JP: 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 Japan – Table JP.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 |
|---|---|---|
| 100.000 2020 | yearly | 1990 - 2020 |
View Japan's JP: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2020 in the chart:
Japan JP: Number of Death: Infant
JP: Number of Death: Infant data was reported at 2,096.000 Person in 2016. This records a decrease from the previous number of 2,116.000 Person for 2015. JP: Number of Death: Infant data is updated yearly, averaging 6,527.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 49,431.000 Person in 1960 and a record low of 2,096.000 Person in 2016. JP: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 2,096.00 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Number of Death: Infant from 1960 to 2016 in the chart:
Japan JP: Number of Death: Neonatal
JP: Number of Death: Neonatal data was reported at 939.000 Person in 2016. This records a decrease from the previous number of 948.000 Person for 2015. JP: Number of Death: Neonatal data is updated yearly, averaging 2,911.000 Person from Dec 1969 (Median) to 2016, with 48 observations. The data reached an all-time high of 17,693.000 Person in 1969 and a record low of 939.000 Person in 2016. JP: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 939.00 2016 | yearly | 1969 - 2016 |
View Japan's Japan JP: Number of Death: Neonatal from 1969 to 2016 in the chart:
Japan JP: Number of Death: Under-5
JP: Number of Death: Under-5 data was reported at 2,846.000 Person in 2016. This records a decrease from the previous number of 3,197.000 Person for 2015. JP: Number of Death: Under-5 data is updated yearly, averaging 9,127.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 65,051.000 Person in 1960 and a record low of 2,846.000 Person in 2016. JP: 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 Japan – Table JP.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 2,846.00 2016 | yearly | 1960 - 2016 |
View Japan's Japan JP: Number of Death: Under-5 from 1960 to 2016 in the chart:
Japan JP: Number of Deaths Ages 10-14 Years
JP: Number of Deaths Ages 10-14 Years data was reported at 440.000 Person in 2019. This records a decrease from the previous number of 449.000 Person for 2018. JP: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 638.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,508.000 Person in 1995 and a record low of 440.000 Person in 2019. JP: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 440.000 2019 | yearly | 1990 - 2019 |
View Japan's Japan JP: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Japan JP: Number of Deaths Ages 15-19 Years
JP: Number of Deaths Ages 15-19 Years data was reported at 1,077.000 Person in 2019. This records a decrease from the previous number of 1,111.000 Person for 2018. JP: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 1,958.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4,372.000 Person in 1990 and a record low of 1,077.000 Person in 2019. JP: Number of Deaths Ages 15-19 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1,077.000 2019 | yearly | 1990 - 2019 |
View Japan's Japan JP: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Japan JP: Number of Deaths Ages 20-24 Years
JP: Number of Deaths Ages 20-24 Years data was reported at 1,964.000 Person in 2019. This records a decrease from the previous number of 2,027.000 Person for 2018. JP: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 3,435.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5,325.000 Person in 1995 and a record low of 1,964.000 Person in 2019. JP: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1,964.000 2019 | yearly | 1990 - 2019 |
View Japan's Japan JP: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Japan JP: Number of Deaths Ages 5-14 Years
JP: Number of Deaths Ages 5-14 Years data was reported at 895.000 Person in 2016. This records a decrease from the previous number of 899.000 Person for 2015. JP: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 1,043.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 2,751.000 Person in 1990 and a record low of 895.000 Person in 2016. JP: Number of Deaths Ages 5-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 895.00 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Japan JP: Number of Deaths Ages 5-9 Years
JP: Number of Deaths Ages 5-9 Years data was reported at 388.000 Person in 2019. This records a decrease from the previous number of 403.000 Person for 2018. JP: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 665.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,646.000 Person in 1995 and a record low of 388.000 Person in 2019. JP: Number of Deaths Ages 5-9 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 388.000 2019 | yearly | 1990 - 2019 |
View Japan's Japan JP: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Japan JP: Number of Maternal Death
JP: Number of Maternal Death data was reported at 56.000 Person in 2015. This records a decrease from the previous number of 57.000 Person for 2014. JP: Number of Maternal Death data is updated yearly, averaging 93.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 170.000 Person in 1990 and a record low of 56.000 Person in 2015. JP: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: 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 the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;
| Last | Frequency | Range |
|---|---|---|
| 56.00 2015 | yearly | 1990 - 2015 |
View Japan's Japan JP: Number of Maternal Death from 1990 to 2015 in the chart:
Japan JP: Nurses and Midwives: per 1000 People
JP: Nurses and Midwives: per 1000 People data was reported at 11.241 Ratio in 2014. This records an increase from the previous number of 10.797 Ratio for 2012. JP: Nurses and Midwives: per 1000 People data is updated yearly, averaging 9.369 Ratio from Dec 1990 (Median) to 2014, with 14 observations. The data reached an all-time high of 11.753 Ratio in 2011 and a record low of 6.491 Ratio in 1990. JP: 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 Japan – Table JP.World Bank: 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;
| Last | Frequency | Range |
|---|---|---|
| 11.24 2014 | yearly | 1990 - 2014 |
View Japan's Japan JP: Nurses and Midwives: per 1000 People from 1990 to 2014 in the chart:
Japan JP: People Practicing Open Defecation: % of Population
JP: People Practicing Open Defecation: % of Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. JP: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. JP: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Japan JP: People Using Basic Drinking Water Services: % of Population
JP: People Using Basic Drinking Water Services: % of Population data was reported at 98.946 % in 2015. This records an increase from the previous number of 98.903 % for 2014. JP: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 98.625 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.946 % in 2015 and a record low of 98.476 % in 2004. JP: People Using Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 98.95 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: People Using Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Japan JP: People Using Basic Sanitation Services: % of Population
JP: People Using Basic Sanitation Services: % of Population data was reported at 100.000 % in 2015. This records an increase from the previous number of 100.000 % for 2014. JP: People Using Basic Sanitation Services: % of Population data is updated yearly, averaging 99.992 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 99.983 % in 2000. JP: People Using Basic Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: People Using Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Japan JP: People Using Safely Managed Drinking Water Services: % of Population
JP: People Using Safely Managed Drinking Water Services: % of Population data was reported at 97.194 % in 2015. This records an increase from the previous number of 97.152 % for 2014. JP: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 96.880 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.194 % in 2015 and a record low of 96.733 % in 2004. JP: People Using Safely Managed Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 97.19 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Japan JP: People Using Safely Managed Sanitation Services: % of Population
JP: People Using Safely Managed Sanitation Services: % of Population data was reported at 99.798 % in 2015. This records a decrease from the previous number of 99.823 % for 2014. JP: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 99.321 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.829 % in 2013 and a record low of 98.214 % in 2000. JP: People Using Safely Managed Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Health Statistics. The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 99.80 2015 | yearly | 2000 - 2015 |
View Japan's Japan JP: People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
Japan JP: Physicians: per 1000 People
JP: Physicians: per 1000 People data was reported at 2.367 Ratio in 2014. This records an increase from the previous number of 2.297 Ratio for 2012. JP: Physicians: per 1000 People data is updated yearly, averaging 1.250 Ratio from Dec 1960 (Median) to 2014, with 40 observations. The data reached an all-time high of 2.367 Ratio in 2014 and a record low of 1.000 Ratio in 1968. JP: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.37 2014 | yearly | 1960 - 2014 |
View Japan's Japan JP: Physicians: per 1000 People from 1960 to 2014 in the chart:
Japan JP: Prevalence of Anemia among Children: % of Children Under 5
JP: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 13.200 % in 2016. This records an increase from the previous number of 12.400 % for 2015. JP: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 11.400 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 16.800 % in 1990 and a record low of 10.600 % in 2009. JP: Prevalence of Anemia among Children: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; 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 |
|---|---|---|
| 13.20 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Japan JP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
JP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 21.200 % in 2016. This records an increase from the previous number of 20.300 % for 2015. JP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 19.700 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 21.200 % in 2016 and a record low of 18.900 % in 2011. JP: 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 Japan – Table JP.World Bank: 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 (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 21.20 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Japan JP: Prevalence of Anemia among Pregnant Women: %
JP: Prevalence of Anemia among Pregnant Women: % data was reported at 34.100 % in 2016. This stayed constant from the previous number of 34.100 % for 2015. JP: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 37.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 38.200 % in 1990 and a record low of 34.100 % in 2016. JP: 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 Japan – Table JP.World Bank: 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 (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 34.10 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Japan JP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
JP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 21.500 % in 2016. This records an increase from the previous number of 20.700 % for 2015. JP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 20.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 21.500 % in 2016 and a record low of 19.300 % in 2011. JP: 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 Japan – Table JP.World Bank: 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 (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 21.50 2016 | yearly | 1990 - 2016 |
View Japan's Japan JP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Japan JP: Prevalence of Overweight: Weight for Height: % of Children Under 5
JP: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 1.500 % in 2010. JP: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 1.500 % from Dec 2010 (Median) to 2010, with 1 observations. JP: 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 Japan – Table JP.World Bank: 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 new child growth standards released in 2006.; ; 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; Estimates of overweight children are also 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 |
|---|---|---|
| 1.50 2010 | yearly | 1980 - 2010 |
View Japan's Japan JP: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1980 to 2010 in the chart:
Japan JP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
JP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 1.100 % in 2010. JP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 1.100 % from Dec 2010 (Median) to 2010, with 1 observations. JP: 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 Japan – Table JP.World Bank: 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 new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also 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 |
|---|---|---|
| 1.10 2010 | yearly | 2010 - 2010 |
View Japan's Japan JP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 2010 to 2010 in the chart:
Japan JP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
JP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 1.900 % in 2010. JP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 1.900 % from Dec 2010 (Median) to 2010, with 1 observations. JP: 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 Japan – Table JP.World Bank: 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 new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also 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 |
|---|---|---|
| 1.90 2010 | yearly | 2010 - 2010 |
View Japan's Japan JP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 2010 to 2010 in the chart:
Japan JP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
JP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 0.200 % in 2010. JP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 0.200 % from Dec 2010 (Median) to 2010, with 1 observations. JP: Prevalence of Severe 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 Japan – Table JP.World Bank: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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 |
|---|---|---|
| 0.20 2010 | yearly | 2010 - 2010 |
View Japan's Japan JP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 2010 to 2010 in the chart:
Japan JP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
JP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 0.200 % in 2010. JP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 0.200 % from Dec 2010 (Median) to 2010, with 1 observations. JP: Prevalence of Severe 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 Japan – Table JP.World Bank: Health Statistics. Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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 |
|---|---|---|
| 0.20 2010 | yearly | 2010 - 2010 |
View Japan's Japan JP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 2010 to 2010 in the chart:
Japan JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 0.300 % in 2010. JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 0.300 % from Dec 2010 (Median) to 2010, with 1 observations. JP: Prevalence of Severe 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 Japan – Table JP.World Bank: Health Statistics. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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 |
|---|---|---|
| 0.30 2010 | yearly | 2010 - 2010 |
View Japan's Japan JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 from 2010 to 2010 in the chart:
Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5
JP: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 7.100 % in 2010. JP: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 7.100 % from Dec 2010 (Median) to 2010, with 1 observations. JP: 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 Japan – Table JP.World Bank.WDI: 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 new child growth standards released in 2006.; ; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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 |
|---|---|---|
| 7.10 2010 | yearly | 1980 - 2010 |
View Japan's Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1980 to 2010 in the chart:
Japan JP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
JP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 6.500 % in 2010. JP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 6.500 % from Dec 2010 (Median) to 2010, with 1 observations. JP: 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 Japan – Table JP.World Bank.WDI: 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 new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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 |
|---|---|---|
| 6.50 2010 | yearly | 2010 - 2010 |