Hungary Health Statistics
Hungary HU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
HU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 19.805 Ratio in 2016. This records a decrease from the previous number of 19.933 Ratio for 2015. HU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 43.955 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 74.007 Ratio in 1977 and a record low of 19.544 Ratio in 2007. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 19.81 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Hungary HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 4.500 NA in 2016. This records a decrease from the previous number of 5.000 NA for 2010. HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 4.750 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 5.000 NA in 2010 and a record low of 4.500 NA in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 4.500 2016 | yearly | 2010 - 2016 |
View Hungary's Hungary HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Hungary HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 19.100 NA in 2016. This records a decrease from the previous number of 20.100 NA for 2010. HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 19.600 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 20.100 NA in 2010 and a record low of 19.100 NA in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 19.100 2016 | yearly | 2010 - 2016 |
View Hungary's Hungary HU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Hungary HU: Births Attended by Skilled Health Staff: % of Total
HU: Births Attended by Skilled Health Staff: % of Total data was reported at 99.200 % in 2014. This records an increase from the previous number of 99.100 % for 2013. HU: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.500 % from Dec 1989 (Median) to 2014, with 26 observations. The data reached an all-time high of 99.700 % in 2006 and a record low of 99.000 % in 2012. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 99.20 2014 | yearly | 1989 - 2014 |
View Hungary's Hungary HU: Births Attended by Skilled Health Staff: % of Total from 1989 to 2014 in the chart:
Hungary HU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
HU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 1.800 % in 2016. This records a decrease from the previous number of 2.000 % for 2015. HU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 1.800 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 2.000 % in 2015 and a record low of 1.500 % in 2010. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 1.90 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2015 in the chart:
Hungary HU: Cause of Death: by Injury: % of Total
HU: Cause of Death: by Injury: % of Total data was reported at 4.400 % in 2016. This records a decrease from the previous number of 4.500 % for 2015. HU: Cause of Death: by Injury: % of Total data is updated yearly, averaging 4.950 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 7.000 % in 2000 and a record low of 4.400 % in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 4.50 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: Cause of Death: by Injury: % of Total from 2000 to 2015 in the chart:
Hungary HU: Cause of Death: by Non-Communicable Diseases: % of Total
HU: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 93.800 % in 2016. This records an increase from the previous number of 93.500 % for 2015. HU: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 93.300 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 93.800 % in 2016 and a record low of 91.200 % in 2000. HU: 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 Hungary – Table HU.World Bank: 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 |
|---|---|---|
| 93.60 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2015 in the chart:
Hungary HU: Completeness of Infant Death Reporting
HU: Completeness of Infant Death Reporting data was reported at 88.561 % in 2010. This records a decrease from the previous number of 97.876 % for 2008. HU: Completeness of Infant Death Reporting data is updated yearly, averaging 97.876 % from Dec 2007 (Median) to 2010, with 3 observations. The data reached an all-time high of 99.141 % in 2007 and a record low of 88.561 % in 2010. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 88.56 2010 | yearly | 2007 - 2010 |
View Hungary's Hungary HU: Completeness of Infant Death Reporting from 2007 to 2010 in the chart:
Hungary HU: Completeness of Total Death Reporting
HU: Completeness of Total Death Reporting data was reported at 98.422 % in 2010. This records an increase from the previous number of 98.121 % for 2009. HU: Completeness of Total Death Reporting data is updated yearly, averaging 98.422 % from Dec 2007 (Median) to 2010, with 3 observations. The data reached an all-time high of 99.842 % in 2007 and a record low of 98.121 % in 2009. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 98.42 2010 | yearly | 2007 - 2010 |
View Hungary's Hungary HU: Completeness of Total Death Reporting from 2007 to 2010 in the chart:
Hungary HU: Diabetes Prevalence: % of Population Aged 20-79
HU: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 7.550 % in 2017. HU: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 7.550 % from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 7.55 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Hungary HU: Fertility Rate: Total: Births per Woman
HU: Fertility Rate: Total: Births per Woman data was reported at 1.450 Ratio in 2016. This stayed constant from the previous number of 1.450 Ratio for 2015. HU: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.800 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.350 Ratio in 1975 and a record low of 1.230 Ratio in 2011. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 1.45 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Hungary HU: Hospital Beds: per 1000 People
HU: Hospital Beds: per 1000 People data was reported at 7.200 Number in 2011. This records an increase from the previous number of 7.180 Number for 2010. HU: Hospital Beds: per 1000 People data is updated yearly, averaging 7.900 Number from Dec 1994 (Median) to 2011, with 17 observations. The data reached an all-time high of 9.300 Number in 1994 and a record low of 7.000 Number in 2008. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 7.20 2011 | yearly | 1994 - 2011 |
View Hungary's Hungary HU: Hospital Beds: per 1000 People from 1994 to 2011 in the chart:
Hungary HU: Immunization: DPT: % of Children Aged 12-23 Months
HU: 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. HU: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 99.000 % 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 99.000 % in 2017. HU: 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 Hungary – Table HU.World Bank.WDI: 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 Hungary's Hungary HU: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Hungary HU: Immunization: Measles: % of Children Aged 12-23 Months
HU: Immunization: Measles: % 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. HU: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 99.000 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 99.000 % in 2017 and a record low of 99.000 % in 2017. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 99.00 2016 | yearly | 1980 - 2016 |
View Hungary's Hungary HU: Immunization: Measles: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Hungary HU: Incidence of HIV: % of Uninfected Population Aged 15-49
HU: 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. HU: 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. HU: 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 Hungary – Table HU.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 Hungary's Hungary HU: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2017 in the chart:
Hungary HU: Incidence of Tuberculosis: per 100,000 People
HU: Incidence of Tuberculosis: per 100,000 People data was reported at 8.800 Ratio in 2016. This records a decrease from the previous number of 10.000 Ratio for 2015. HU: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 18.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 35.000 Ratio in 2000 and a record low of 8.800 Ratio in 2016. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 8.80 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Hungary HU: Intentional Homicides: Female: per 100,000 Female
HU: Intentional Homicides: Female: per 100,000 Female data was reported at 1.603 Ratio in 2016. This records a decrease from the previous number of 1.987 Ratio for 2015. HU: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 1.408 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 1.987 Ratio in 2015 and a record low of 0.808 Ratio in 2011. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 1.60 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Intentional Homicides: Female: per 100,000 Female from 2000 to 2016 in the chart:
Hungary HU: Intentional Homicides: Male: per 100,000 Male
HU: Intentional Homicides: Male: per 100,000 Male data was reported at 2.589 Ratio in 2016. This records an increase from the previous number of 2.559 Ratio for 2015. HU: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 2.193 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 3.487 Ratio in 2001 and a record low of 1.409 Ratio in 2012. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 2.59 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Intentional Homicides: Male: per 100,000 Male from 2000 to 2016 in the chart:
Hungary HU: Intentional Homicides: per 100,000 People
HU: Intentional Homicides: per 100,000 People data was reported at 1.500 Ratio in 2014. This records a decrease from the previous number of 1.600 Ratio for 2013. HU: Intentional Homicides: per 100,000 People data is updated yearly, averaging 1.900 Ratio from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 2.865 Ratio in 1995 and a record low of 1.200 Ratio in 2012. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 1.50 2014 | yearly | 1995 - 2014 |
View Hungary's Hungary HU: Intentional Homicides: per 100,000 People from 1995 to 2014 in the chart:
Hungary HU: Life Expectancy at Birth: Female
HU: Life Expectancy at Birth: Female data was reported at 79.000 Year in 2016. This stayed constant from the previous number of 79.000 Year for 2015. HU: Life Expectancy at Birth: Female data is updated yearly, averaging 73.800 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 79.400 Year in 2014 and a record low of 70.140 Year in 1962. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 79.00 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Hungary HU: Life Expectancy at Birth: Male
HU: Life Expectancy at Birth: Male data was reported at 72.300 Year in 2016. This stayed constant from the previous number of 72.300 Year for 2015. HU: Life Expectancy at Birth: Male data is updated yearly, averaging 66.640 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 72.300 Year in 2016 and a record low of 64.550 Year in 1993. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 72.30 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Hungary HU: Life Expectancy at Birth: Total
HU: Life Expectancy at Birth: Total data was reported at 75.568 Year in 2016. This stayed constant from the previous number of 75.568 Year for 2015. HU: Life Expectancy at Birth: Total data is updated yearly, averaging 69.573 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.763 Year in 2014 and a record low of 67.866 Year in 1962. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 75.57 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Hungary HU: Lifetime Risk Of Maternal Death
HU: Lifetime Risk Of Maternal Death data was reported at 0.023 % in 2015. This records an increase from the previous number of 0.023 % for 2014. HU: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.022 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.041 % in 1990 and a record low of 0.018 % in 2001. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.02 2015 | yearly | 1990 - 2015 |
View Hungary's Hungary HU: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Hungary HU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
HU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 4,400.000 NA in 2015. This stayed constant from the previous number of 4,400.000 NA for 2014. HU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 4,600.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 5,600.000 NA in 2004 and a record low of 2,400.000 NA in 1990. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 4,400.00 2015 | yearly | 1990 - 2015 |
View Hungary's Hungary HU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Hungary HU: Low-Birthweight Babies: % of Births
HU: Low-Birthweight Babies: % of Births data was reported at 8.600 % in 2012. This records a decrease from the previous number of 9.000 % for 2001. HU: Low-Birthweight Babies: % of Births data is updated yearly, averaging 8.800 % from Dec 2001 (Median) to 2012, with 2 observations. The data reached an all-time high of 9.000 % in 2001 and a record low of 8.600 % in 2012. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 8.60 2012 | yearly | 2001 - 2012 |
View Hungary's Hungary HU: Low-Birthweight Babies: % of Births from 2001 to 2012 in the chart:
Hungary HU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
HU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 17.000 Ratio in 2015. This records an increase from the previous number of 16.000 Ratio for 2014. HU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 16.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 24.000 Ratio in 1993 and a record low of 13.000 Ratio in 2004. HU: 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 Hungary – Table HU.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 measured using purchasing power parities (PPPs).; ; 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 |
|---|---|---|
| 17.00 2015 | yearly | 1990 - 2015 |
View Hungary's Hungary HU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Hungary HU: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
HU: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 10.000 Ratio in 2012. This records a decrease from the previous number of 10.200 Ratio for 2011. HU: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 10.000 Ratio from Dec 2003 (Median) to 2012, with 7 observations. The data reached an all-time high of 18.700 Ratio in 2009 and a record low of 4.200 Ratio in 2004. HU: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; ;
| Last | Frequency | Range |
|---|---|---|
| 10.00 2012 | yearly | 2003 - 2012 |
View Hungary's Hungary HU: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 2003 to 2012 in the chart:
Hungary HU: Mortality Caused by Road Traffic Injury: per 100,000 People
HU: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 7.500 Number in 2015. This records a decrease from the previous number of 9.100 Number for 2010. HU: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 10.850 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 14.800 Number in 2005 and a record low of 7.500 Number in 2015. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 7.50 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Hungary HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 28.000 NA in 2016. HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 28.000 NA from Dec 2016 (Median) to 2016, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 28.000 2016 | yearly | 2016 - 2016 |
View Hungary's Hungary HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Hungary HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 53.000 NA in 2016. HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 53.000 NA from Dec 2016 (Median) to 2016, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 53.000 2016 | yearly | 2016 - 2016 |
View Hungary's Hungary HU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Hungary HU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
HU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 38.800 Ratio in 2016. HU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 38.800 Ratio from Dec 2016 (Median) to 2016, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 38.80 2016 | yearly | 2016 - 2016 |
View Hungary's Hungary HU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Hungary HU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
HU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.100 Ratio in 2016. This records a decrease from the previous number of 0.200 Ratio for 2015. HU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.200 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.200 Ratio in 2015 and a record low of 0.100 Ratio in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.10 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Hungary HU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
HU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.400 Ratio in 2016. This stayed constant from the previous number of 0.400 Ratio for 2015. HU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.600 Ratio in 2000 and a record low of 0.400 Ratio in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.40 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Hungary HU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
HU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.300 Ratio in 2016. This stayed constant from the previous number of 0.300 Ratio for 2015. HU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 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 0.400 Ratio in 2000 and a record low of 0.300 Ratio in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.30 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Hungary HU: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
HU: 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. HU: 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. HU: 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 Hungary – Table HU.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 Hungary's Hungary HU: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Hungary HU: Mortality Rate: Adult: Female: per 1000 Female Adults
HU: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 83.873 Ratio in 2014. This records a decrease from the previous number of 85.736 Ratio for 2013. HU: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 117.411 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 138.983 Ratio in 1993 and a record low of 83.873 Ratio in 2014. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 83.87 2014 | yearly | 1960 - 2014 |
View Hungary's Hungary HU: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2014 in the chart:
Hungary HU: Mortality Rate: Adult: Male: per 1000 Male Adults
HU: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 180.009 Ratio in 2014. This records a decrease from the previous number of 182.387 Ratio for 2013. HU: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 246.633 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 328.702 Ratio in 1993 and a record low of 176.354 Ratio in 1966. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 180.01 2014 | yearly | 1960 - 2014 |
View Hungary's Hungary HU: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2014 in the chart:
Hungary HU: Mortality Rate: Infant: Female: per 1000 Live Births
HU: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 3.500 Ratio in 2017. This records a decrease from the previous number of 4.000 Ratio for 2015. HU: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 4.700 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 13.500 Ratio in 1990 and a record low of 3.500 Ratio in 2017. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 4.10 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Hungary HU: Mortality Rate: Infant: Male: per 1000 Live Births
HU: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 4.800 Ratio in 2016. This records a decrease from the previous number of 5.000 Ratio for 2015. HU: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 5.500 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.900 Ratio in 1990 and a record low of 4.800 Ratio in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 4.80 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Hungary HU: Mortality Rate: Infant: per 1000 Live Births
HU: Mortality Rate: Infant: per 1000 Live Births data was reported at 4.400 Ratio in 2016. This records a decrease from the previous number of 4.600 Ratio for 2015. HU: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 16.300 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 47.600 Ratio in 1960 and a record low of 4.400 Ratio in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 4.40 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Hungary HU: Mortality Rate: Neonatal: per 1000 Live Births
HU: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 2.800 Ratio in 2016. This records a decrease from the previous number of 2.900 Ratio for 2015. HU: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 7.500 Ratio from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 26.700 Ratio in 1974 and a record low of 2.800 Ratio in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 2.80 2016 | yearly | 1974 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Neonatal: per 1000 Live Births from 1974 to 2016 in the chart:
Hungary HU: Mortality Rate: Under-5: Female: per 1000 Live Births
HU: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 4.200 Ratio in 2017. This records a decrease from the previous number of 4.700 Ratio for 2015. HU: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 5.500 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 15.300 Ratio in 1990 and a record low of 4.200 Ratio in 2017. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 4.80 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Hungary HU: Mortality Rate: Under-5: Male: per 1000 Live Births
HU: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 4.900 Ratio in 2017. This records a decrease from the previous number of 5.500 Ratio for 2015. HU: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 6.500 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 19.100 Ratio in 1990 and a record low of 4.900 Ratio in 2017. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 5.60 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Hungary HU: Mortality Rate: Under-5: per 1000 Live Births
HU: Mortality Rate: Under-5: per 1000 Live Births data was reported at 4.500 Ratio in 2017. This records a decrease from the previous number of 4.800 Ratio for 2016. HU: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 18.150 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 53.600 Ratio in 1960 and a record low of 4.500 Ratio in 2017. HU: 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 Hungary – Table HU.World Bank: 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 |
|---|---|---|
| 5.20 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Hungary HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 23.000 % in 2016. This records a decrease from the previous number of 23.300 % for 2015. HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 24.200 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 28.100 % in 2000 and a record low of 23.000 % in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 23.00 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
Hungary HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 15.600 NA in 2016. This records a decrease from the previous number of 16.500 NA for 2015. HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 16.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 19.100 NA in 2000 and a record low of 15.600 NA in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 15.600 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Hungary HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 31.100 NA in 2016. This records an increase from the previous number of 31.000 NA for 2015. HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 33.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 38.100 NA in 2000 and a record low of 31.000 NA in 2015. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 31.100 2016 | yearly | 2000 - 2016 |
View Hungary's Hungary HU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Hungary HU: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
HU: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 500.000 Number in 2017. This stayed constant from the previous number of 500.000 Number for 2016. HU: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 150.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 500.000 Number in 2017 and a record low of 100.000 Number in 2003. HU: 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 Hungary – Table HU.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 500.00 2017 | yearly | 1990 - 2017 |
View Hungary's Hungary HU: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2017 in the chart:
Hungary HU: Newly Infected with HIV: Adults: Aged 15+
HU: Newly Infected with HIV: Adults: Aged 15+ data was reported at 500.000 Number in 2017. This stayed constant from the previous number of 500.000 Number for 2016. HU: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 150.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 500.000 Number in 2017 and a record low of 100.000 Number in 2003. HU: 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 Hungary – Table HU.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 500.00 2017 | yearly | 1990 - 2017 |
View Hungary's Hungary HU: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2017 in the chart:
Hungary HU: Number of Death: Infant
HU: Number of Death: Infant data was reported at 332.000 Person in 2017. This records a decrease from the previous number of 356.000 Person for 2016. HU: Number of Death: Infant data is updated yearly, averaging 2,013.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7,162.000 Person in 1960 and a record low of 332.000 Person in 2017. HU: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 386.00 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Number of Death: Infant from 1960 to 2016 in the chart:
Hungary HU: Number of Death: Neonatal
HU: Number of Death: Neonatal data was reported at 211.000 Person in 2017. This records a decrease from the previous number of 226.000 Person for 2016. HU: Number of Death: Neonatal data is updated yearly, averaging 1,464.000 Person from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 4,698.000 Person in 1974 and a record low of 211.000 Person in 2017. HU: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 246.00 2016 | yearly | 1975 - 2016 |
View Hungary's Hungary HU: Number of Death: Neonatal from 1975 to 2016 in the chart:
Hungary HU: Number of Death: Under-5
HU: Number of Death: Under-5 data was reported at 398.000 Person in 2017. This records a decrease from the previous number of 426.000 Person for 2016. HU: Number of Death: Under-5 data is updated yearly, averaging 2,274.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8,195.000 Person in 1960 and a record low of 398.000 Person in 2017. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 458.00 2016 | yearly | 1960 - 2016 |
View Hungary's Hungary HU: Number of Death: Under-5 from 1960 to 2016 in the chart:
Hungary HU: Number of Deaths Ages 10-14 Years
HU: Number of Deaths Ages 10-14 Years data was reported at 54.000 Person in 2019. This records a decrease from the previous number of 56.000 Person for 2018. HU: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 105.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 229.000 Person in 1990 and a record low of 54.000 Person in 2019. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 54.000 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Hungary HU: Number of Deaths Ages 15-19 Years
HU: Number of Deaths Ages 15-19 Years data was reported at 137.000 Person in 2019. This records a decrease from the previous number of 138.000 Person for 2018. HU: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 252.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 527.000 Person in 1990 and a record low of 137.000 Person in 2019. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 137.000 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Hungary HU: Number of Deaths Ages 20-24 Years
HU: Number of Deaths Ages 20-24 Years data was reported at 214.000 Person in 2019. This records a decrease from the previous number of 223.000 Person for 2018. HU: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 380.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 698.000 Person in 1990 and a record low of 214.000 Person in 2019. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 214.000 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Hungary HU: Number of Deaths Ages 5-14 Years
HU: Number of Deaths Ages 5-14 Years data was reported at 97.000 Person in 2016. This stayed constant from the previous number of 97.000 Person for 2015. HU: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 129.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 379.000 Person in 1990 and a record low of 97.000 Person in 2016. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 97.00 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Hungary HU: Number of Deaths Ages 5-9 Years
HU: Number of Deaths Ages 5-9 Years data was reported at 37.000 Person in 2019. This records a decrease from the previous number of 39.000 Person for 2018. HU: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 74.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 170.000 Person in 1990 and a record low of 37.000 Person in 2019. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 37.000 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Hungary HU: Number of Maternal Death
HU: Number of Maternal Death data was reported at 15.000 Person in 2015. This stayed constant from the previous number of 15.000 Person for 2014. HU: Number of Maternal Death data is updated yearly, averaging 15.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 30.000 Person in 1990 and a record low of 13.000 Person in 2004. HU: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 15.00 2015 | yearly | 1990 - 2015 |
View Hungary's Hungary HU: Number of Maternal Death from 1990 to 2015 in the chart:
Hungary HU: Nurses and Midwives: per 1000 People
HU: Nurses and Midwives: per 1000 People data was reported at 6.633 Ratio in 2015. This records an increase from the previous number of 6.568 Ratio for 2014. HU: Nurses and Midwives: per 1000 People data is updated yearly, averaging 6.521 Ratio from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 6.633 Ratio in 2015 and a record low of 6.373 Ratio in 2011. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 6.63 2015 | yearly | 2010 - 2015 |
View Hungary's Hungary HU: Nurses and Midwives: per 1000 People from 2010 to 2015 in the chart:
Hungary HU: People Practicing Open Defecation: % of Population
HU: 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. HU: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. HU: 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 Hungary – Table HU.World Bank.WDI: 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 Hungary's Hungary HU: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Hungary HU: People Practicing Open Defecation: Rural: % of Rural Population
HU: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. HU: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. HU: People Practicing Open Defecation: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 Hungary's Hungary HU: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Hungary HU: People Practicing Open Defecation: Urban: % of Urban Population
HU: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. HU: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. HU: People Practicing Open Defecation: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 Hungary's Hungary HU: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Hungary HU: People Using Basic Drinking Water Services: % of Population
HU: People Using Basic Drinking Water Services: % of Population data was reported at 99.971 % in 2015. This records an increase from the previous number of 99.971 % for 2014. HU: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 99.968 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.971 % in 2015 and a record low of 99.963 % in 2000. HU: 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 Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 99.97 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Hungary HU: People Using Basic Drinking Water Services: Rural: % of Rural Population
HU: People Using Basic Drinking Water Services: Rural: % of Rural Population data was reported at 99.900 % in 2015. This stayed constant from the previous number of 99.900 % for 2014. HU: People Using Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 99.900 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.900 % in 2015 and a record low of 99.896 % in 2001. HU: People Using Basic Drinking Water Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: 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 |
|---|---|---|
| 99.90 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Hungary HU: People Using Basic Drinking Water Services: Urban: % of Urban Population
HU: People Using Basic Drinking Water Services: Urban: % of Urban Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. HU: People Using Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 100.000 % 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 100.000 % in 2015. HU: People Using Basic Drinking Water Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Hungary HU: People Using Basic Sanitation Services: % of Population
HU: People Using Basic Sanitation Services: % of Population data was reported at 97.990 % in 2015. This records a decrease from the previous number of 97.993 % for 2014. HU: People Using Basic Sanitation Services: % of Population data is updated yearly, averaging 98.019 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.044 % in 2000 and a record low of 97.990 % in 2015. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 97.99 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Hungary HU: People Using Basic Sanitation Services: Rural: % of Rural Population
HU: People Using Basic Sanitation Services: Rural: % of Rural Population data was reported at 98.570 % in 2015. This stayed constant from the previous number of 98.570 % for 2014. HU: People Using Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 98.570 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.570 % in 2015 and a record low of 98.570 % in 2015. HU: People Using Basic Sanitation Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 98.57 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Hungary HU: People Using Basic Sanitation Services: Urban: % of Urban Population
HU: People Using Basic Sanitation Services: Urban: % of Urban Population data was reported at 97.755 % in 2015. This stayed constant from the previous number of 97.755 % for 2014. HU: People Using Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 97.755 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.755 % in 2015 and a record low of 97.755 % in 2015. HU: People Using Basic Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 97.76 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Hungary HU: People Using Safely Managed Drinking Water Services: % of Population
HU: People Using Safely Managed Drinking Water Services: % of Population data was reported at 81.542 % in 2015. This records an increase from the previous number of 79.105 % for 2014. HU: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 63.266 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 81.542 % in 2015 and a record low of 52.300 % in 2000. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 81.54 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Hungary HU: People Using Safely Managed Sanitation Services: % of Population
HU: People Using Safely Managed Sanitation Services: % of Population data was reported at 75.639 % in 2015. This records an increase from the previous number of 75.529 % for 2014. HU: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 63.129 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 75.639 % in 2015 and a record low of 52.271 % in 2000. HU: 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 Hungary – Table HU.World Bank: 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 |
|---|---|---|
| 75.64 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
Hungary HU: People Using Safely Managed Sanitation Services: Urban: % of Urban Population
HU: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data was reported at 82.563 % in 2015. This stayed constant from the previous number of 82.563 % for 2014. HU: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 67.338 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 82.563 % in 2015 and a record low of 53.253 % in 2003. HU: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 82.56 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: People Using Safely Managed Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Hungary HU: Physicians: per 1000 People
HU: Physicians: per 1000 People data was reported at 3.093 Ratio in 2015. This records a decrease from the previous number of 3.316 Ratio for 2014. HU: Physicians: per 1000 People data is updated yearly, averaging 2.650 Ratio from Dec 1960 (Median) to 2015, with 54 observations. The data reached an all-time high of 3.843 Ratio in 2004 and a record low of 1.500 Ratio in 1960. HU: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.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 |
|---|---|---|
| 3.09 2015 | yearly | 1960 - 2015 |
View Hungary's Hungary HU: Physicians: per 1000 People from 1960 to 2015 in the chart:
Hungary HU: Prevalence of Anemia among Children: % of Children Under 5
HU: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 26.600 % in 2016. This records an increase from the previous number of 25.900 % for 2015. HU: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 26.500 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 33.600 % in 1990 and a record low of 24.900 % in 2012. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 26.60 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Hungary HU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
HU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 25.800 % in 2016. This records an increase from the previous number of 25.000 % for 2015. HU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 23.700 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 28.800 % in 1990 and a record low of 23.200 % in 2010. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 25.80 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Hungary HU: Prevalence of Anemia among Pregnant Women: %
HU: Prevalence of Anemia among Pregnant Women: % data was reported at 27.300 % in 2016. This records an increase from the previous number of 26.900 % for 2015. HU: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 27.600 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 32.600 % in 1990 and a record low of 26.300 % in 2011. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 27.30 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Hungary HU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
HU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 25.800 % in 2016. This records an increase from the previous number of 25.000 % for 2015. HU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 23.800 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 28.900 % in 1990 and a record low of 23.200 % in 2009. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 25.80 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Hungary HU: Prevalence of Undernourishment: % of Population
HU: Prevalence of Undernourishment: % of Population data was reported at 2.500 % in 2016. This stayed constant from the previous number of 2.500 % for 2015. HU: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 2.500 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 2.500 % in 2016 and a record low of 2.500 % in 2016. HU: Prevalence of Undernourishment: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%.; ; Food and Agriculture Organization (http://www.fao.org/publications/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.50 2015 | yearly | 2000 - 2015 |
View Hungary's Hungary HU: Prevalence of Undernourishment: % of Population from 2000 to 2015 in the chart:
Hungary HU: Probability of Dying at Age 10-14 Years: per 1000
HU: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 0.600 Ratio in 2019. This stayed constant from the previous number of 0.600 Ratio for 2018. HU: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 0.900 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.300 Ratio in 1991 and a record low of 0.600 Ratio in 2019. HU: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 0.600 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Hungary HU: Probability of Dying at Age 15-19 Years: per 1000
HU: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 1.400 Ratio in 2019. This stayed constant from the previous number of 1.400 Ratio for 2018. HU: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 2.000 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3.400 Ratio in 1990 and a record low of 1.400 Ratio in 2019. HU: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.400 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Hungary HU: Probability of Dying at Age 20-24 Years: per 1000
HU: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 2.000 Ratio in 2019. This stayed constant from the previous number of 2.000 Ratio for 2018. HU: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 2.750 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.100 Ratio in 1990 and a record low of 2.000 Ratio in 2019. HU: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 2.000 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Hungary HU: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5
HU: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 1.000 Ratio in 2016. This stayed constant from the previous number of 1.000 Ratio for 2015. HU: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 1.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.500 Ratio in 1990 and a record low of 1.000 Ratio in 2016. HU: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank: Health Statistics. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2016 | yearly | 1990 - 2016 |
View Hungary's Hungary HU: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 from 1990 to 2016 in the chart:
Hungary HU: Probability of Dying at Age 5-9 Years: per 1000
HU: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 0.400 Ratio in 2019. This stayed constant from the previous number of 0.400 Ratio for 2018. HU: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 0.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.300 Ratio in 1991 and a record low of 0.400 Ratio in 2019. HU: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 0.400 2019 | yearly | 1990 - 2019 |
View Hungary's Hungary HU: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Hungary HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day
HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data was reported at 19.790 % in 2010. This records an increase from the previous number of 19.510 % for 2000. HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data is updated yearly, averaging 19.650 % from Dec 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 19.790 % in 2010 and a record low of 19.510 % in 2000. HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.; ; National statistical offices or national database and publications compiled by United Nations Statistics Division; ;
| Last | Frequency | Range |
|---|---|---|
| 19.79 2010 | yearly | 2000 - 2010 |
View Hungary's Hungary HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day from 2000 to 2010 in the chart:
Hungary HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day
HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day data was reported at 10.630 % in 2010. This records a decrease from the previous number of 11.040 % for 2000. HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day data is updated yearly, averaging 10.835 % from Dec 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 11.040 % in 2000 and a record low of 10.630 % in 2010. HU: Proportion of Time Spent on Unpaid Domestic and Care Work: Male: % of 24 Hour Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Health Statistics. The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.; ; National statistical offices or national database and publications compiled by United Nations Statistics Division; ;
| Last | Frequency | Range |
|---|---|---|
| 10.63 2010 | yearly | 2000 - 2010 |