Malaysia Health Statistics
Malaysia Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
MY: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 13.361 Ratio in 2016. This records an increase from the previous number of 13.308 Ratio for 2015. MY: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 19.682 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 78.640 Ratio in 1960 and a record low of 12.746 Ratio in 2007. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 13.361 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Malaysia Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
MY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.300 NA in 2016. This records a decrease from the previous number of 0.400 NA for 2010. MY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.350 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.400 NA in 2010 and a record low of 0.300 NA in 2016. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.300 2016 | yearly | 2010 - 2016 |
View Malaysia's Malaysia Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Malaysia Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
MY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 1.600 NA in 2016. This records a decrease from the previous number of 2.300 NA for 2010. MY: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 1.950 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 2.300 NA in 2010 and a record low of 1.600 NA in 2016. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.600 2016 | yearly | 2010 - 2016 |
View Malaysia's Malaysia Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Malaysia Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
MY: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 95.000 % in 2017. This stayed constant from the previous number of 95.000 % for 2016. MY: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 81.500 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 95.000 % in 2017 and a record low of 65.000 % in 2010. MY: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 95.000 2017 | yearly | 2010 - 2017 |
View Malaysia's Malaysia Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2010 to 2017 in the chart:
Malaysia Antiretroviral Therapy Coverage: % of People Living with HIV
MY: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 45.000 % in 2017. This records an increase from the previous number of 43.000 % for 2016. MY: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 14.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 45.000 % in 2017 and a record low of 0.000 % in 2000. MY: Antiretroviral Therapy Coverage: % of People Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 45.000 2017 | yearly | 2000 - 2017 |
View Malaysia's Malaysia Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2017 in the chart:
Malaysia Births Attended by Skilled Health Staff: % of Total
MY: Births Attended by Skilled Health Staff: % of Total data was reported at 99.400 % in 2015. This records an increase from the previous number of 98.970 % for 2014. MY: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 98.400 % from Dec 1990 (Median) to 2015, with 19 observations. The data reached an all-time high of 99.400 % in 2015 and a record low of 92.800 % in 1990. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 99.400 2015 | yearly | 1990 - 2015 |
View Malaysia's Malaysia Births Attended by Skilled Health Staff: % of Total from 1990 to 2015 in the chart:
Malaysia Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
MY: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 17.500 % in 2016. This records a decrease from the previous number of 18.000 % for 2015. MY: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 18.750 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 21.500 % in 2000 and a record low of 17.500 % in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 17.500 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
Malaysia Cause of Death: by Injury: % of Total
MY: Cause of Death: by Injury: % of Total data was reported at 8.900 % in 2016. This records a decrease from the previous number of 9.000 % for 2015. MY: Cause of Death: by Injury: % of Total data is updated yearly, averaging 9.200 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 10.400 % in 2000 and a record low of 8.900 % in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 8.900 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Cause of Death: by Injury: % of Total from 2000 to 2016 in the chart:
Malaysia Cause of Death: by Non-Communicable Diseases: % of Total
MY: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 73.600 % in 2016. This records an increase from the previous number of 72.900 % for 2015. MY: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 72.000 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 73.600 % in 2016 and a record low of 68.100 % in 2000. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 73.600 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
Malaysia Children: 0-14 Living with HIV
MY: Children: 0-14 Living with HIV data was reported at 500.000 Person in 2017. This stayed constant from the previous number of 500.000 Person for 2016. MY: Children: 0-14 Living with HIV data is updated yearly, averaging 500.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 600.000 Person in 2008 and a record low of 100.000 Person in 1992. MY: Children: 0-14 Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 500.000 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Children: 0-14 Living with HIV from 1990 to 2017 in the chart:
Malaysia Community Health Workers: per 1000 People
MY: Community Health Workers: per 1000 People data was reported at 0.435 Ratio in 2010. MY: Community Health Workers: per 1000 People data is updated yearly, averaging 0.435 Ratio from Dec 2010 (Median) to 2010, with 1 observations. MY: Community Health Workers: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.435 2010 | yearly | 2010 - 2010 |
View Malaysia's Malaysia Community Health Workers: per 1000 People from 2010 to 2010 in the chart:
Malaysia Completeness of Infant Death Reporting
MY: Completeness of Infant Death Reporting data was reported at 79.579 % in 2009. This records an increase from the previous number of 68.918 % for 2008. MY: Completeness of Infant Death Reporting data is updated yearly, averaging 68.918 % from Dec 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 79.579 % in 2009 and a record low of 64.302 % in 2007. MY: 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 Malaysia – Table MY.World Bank: 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 |
|---|---|---|
| 79.579 2009 | yearly | 2007 - 2009 |
View Malaysia's Malaysia Completeness of Infant Death Reporting from 2007 to 2009 in the chart:
Malaysia Completeness of Total Death Reporting
MY: Completeness of Total Death Reporting data was reported at 99.137 % in 2009. This records an increase from the previous number of 96.455 % for 2008. MY: Completeness of Total Death Reporting data is updated yearly, averaging 96.455 % from Dec 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 99.137 % in 2009 and a record low of 92.981 % in 2007. MY: 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 Malaysia – Table MY.World Bank: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.137 2009 | yearly | 2007 - 2009 |
View Malaysia's Malaysia Completeness of Total Death Reporting from 2007 to 2009 in the chart:
Malaysia Consumption of Iodized Salt: % of Households
MY: Consumption of Iodized Salt: % of Households data was reported at 17.600 % in 2008. MY: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 17.600 % from Dec 2008 (Median) to 2008, with 1 observations. MY: Consumption of Iodized Salt: % of Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Consumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine.; ; United Nations Children's Fund, State of the World's Children.; Weighted average; Iodine deficiency is the single most important cause of preventable mental retardation, contributes significantly to the risk of stillbirth and miscarriage, and increases the incidence of infant mortality. A diet low in iodine is the main cause of iodine deficiency. It usually occurs among populations living in areas where the soil has been depleted of iodine. If soil is deficient in iodine, then so are the plants grown in it, including the grains and vegetables that people and animals consume. There are almost no countries in the world where iodine deficiency has not been a public health problem. Many newborns in low- and middle-income countries remain unprotected from the lifelong consequences of brain damage associated with iodine deficiency disorders, which affect a child's ability to learn and to earn a living as an adult, and in turn prevents children, communities, and countries from fulfilling their potential (UNICEF, www.childinfo.org). Widely used and inexpensive, iodized salt is the best source of iodine, and a global campaign to iodize edible salt is significantly reducing the risks associated with iodine deficiency.
| Last | Frequency | Range |
|---|---|---|
| 17.600 2008 | yearly | 2008 - 2008 |
View Malaysia's Malaysia Consumption of Iodized Salt: % of Households from 2008 to 2008 in the chart:
Malaysia Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
MY: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 52.200 % in 2014. This records an increase from the previous number of 49.000 % for 2004. MY: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 49.550 % from Dec 1967 (Median) to 2014, with 8 observations. The data reached an all-time high of 55.100 % in 1994 and a record low of 8.700 % in 1967. MY: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 52.200 2014 | yearly | 1967 - 2014 |
View Malaysia's Malaysia Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1967 to 2014 in the chart:
Malaysia Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
MY: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 34.300 % in 2014. This records an increase from the previous number of 32.300 % for 2004. MY: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 30.400 % from Dec 1967 (Median) to 2014, with 7 observations. The data reached an all-time high of 34.300 % in 2014 and a record low of 6.200 % in 1967. MY: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 34.300 2014 | yearly | 1967 - 2014 |
View Malaysia's Malaysia Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1967 to 2014 in the chart:
Malaysia Current Health Expenditure Per Capita: Current PPP
MY: Current Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. MY: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MY: Current Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.001 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Malaysia Current Health Expenditure Per Capita: Current Price
MY: Current Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MY: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MY: Current Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Malaysia Current Health Expenditure: % of GDP
MY: Current Health Expenditure: % of GDP data was reported at 3.999 % in 2015. This records an increase from the previous number of 3.890 % for 2014. MY: Current Health Expenditure: % of GDP data is updated yearly, averaging 3.265 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 3.999 % in 2015 and a record low of 2.435 % in 2000. MY: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 3.999 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Malaysia Depth of the Food Deficit: Kilocalories per Person per Day
MY: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 14.000 kcal in 2016. This records a decrease from the previous number of 17.000 kcal for 2015. MY: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 23.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 31.000 kcal in 1992 and a record low of 14.000 kcal in 2016. MY: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.000 2016 | yearly | 1992 - 2016 |
View Malaysia's Malaysia Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Malaysia Diabetes Prevalence: % of Population Aged 20-79
MY: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 16.740 % in 2017. MY: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 16.740 % from Dec 2017 (Median) to 2017, with 1 observations. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 16.740 2017 | yearly | 2017 - 2017 |
View Malaysia's Malaysia Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Malaysia Domestic General Government Health Expenditure Per Capita: Current PPP
MY: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. MY: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MY: Domestic General Government Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.001 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Malaysia Domestic General Government Health Expenditure Per Capita: Current Price
MY: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MY: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MY: Domestic General Government Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in current US dollars.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Malaysia Domestic General Government Health Expenditure: % of Current Health Expenditure
MY: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 52.074 % in 2015. This records a decrease from the previous number of 53.609 % for 2014. MY: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 52.128 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 54.999 % in 2009 and a record low of 48.289 % in 2005. MY: Domestic General Government Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 52.074 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Malaysia Domestic General Government Health Expenditure: % of GDP
MY: Domestic General Government Health Expenditure: % of GDP data was reported at 2.082 % in 2015. This records a decrease from the previous number of 2.085 % for 2014. MY: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 1.721 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 2.085 % in 2014 and a record low of 1.211 % in 2000. MY: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 2.082 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Malaysia Domestic General Government Health Expenditure: % of General Government Expenditure
MY: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 8.301 % in 2015. This records an increase from the previous number of 7.922 % for 2014. MY: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 6.249 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 8.301 % in 2015 and a record low of 4.658 % in 2000. MY: Domestic General Government Health Expenditure: % of General Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 8.301 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Malaysia Domestic Private Health Expenditure Per Capita: Current PPP
MY: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. MY: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MY: Domestic Private Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.001 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Malaysia Domestic Private Health Expenditure Per Capita: Current Price
MY: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MY: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MY: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Malaysia Domestic Private Health Expenditure: % of Current Health Expenditure
MY: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 47.892 % in 2015. This records an increase from the previous number of 46.339 % for 2014. MY: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 47.853 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 51.686 % in 2005 and a record low of 44.989 % in 2009. MY: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 47.892 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Malaysia External Health Expenditure Per Capita: Current PPP
MY: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. MY: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.000 Intl $ mn in 2014 and a record low of 0.000 Intl $ mn in 2011. MY: External Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2003 - 2015 |
View Malaysia's Malaysia External Health Expenditure Per Capita: Current PPP from 2003 to 2015 in the chart:
Malaysia External Health Expenditure Per Capita: Current Price
MY: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MY: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2011. MY: External Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2003 - 2015 |
View Malaysia's Malaysia External Health Expenditure Per Capita: Current Price from 2003 to 2015 in the chart:
Malaysia External Health Expenditure: % of Current Health Expenditure
MY: External Health Expenditure: % of Current Health Expenditure data was reported at 0.034 % in 2015. This records a decrease from the previous number of 0.052 % for 2014. MY: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.023 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.065 % in 2004 and a record low of 0.004 % in 2011. MY: External Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.034 2015 | yearly | 2003 - 2015 |
View Malaysia's Malaysia External Health Expenditure: % of Current Health Expenditure from 2003 to 2015 in the chart:
Malaysia Female Adults with HIV: % of Population Aged 15+ with HIV
MY: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 19.600 % in 2017. This records a decrease from the previous number of 19.800 % for 2016. MY: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 15.800 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 20.000 % in 2015 and a record low of 3.000 % in 1990. MY: Female Adults with HIV: % of Population Aged 15+ with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 19.600 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2017 in the chart:
Malaysia Fertility Rate: Total: Births per Woman
MY: Fertility Rate: Total: Births per Woman data was reported at 2.037 Ratio in 2016. This records a decrease from the previous number of 2.056 Ratio for 2015. MY: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 3.650 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.450 Ratio in 1960 and a record low of 2.037 Ratio in 2016. MY: 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 Malaysia – Table MY.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 2.037 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Malaysia Hospital Beds: per 1000 People
MY: Hospital Beds: per 1000 People data was reported at 1.900 Number in 2012. This records an increase from the previous number of 1.790 Number for 2011. MY: Hospital Beds: per 1000 People data is updated yearly, averaging 2.030 Number from Dec 1960 (Median) to 2012, with 22 observations. The data reached an all-time high of 3.728 Number in 1960 and a record low of 1.760 Number in 2007. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 1.900 2012 | yearly | 1960 - 2012 |
View Malaysia's Malaysia Hospital Beds: per 1000 People from 1960 to 2012 in the chart:
Malaysia Immunization: DPT: % of Children Aged 12-23 Months
MY: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 99.000 % in 2017. This records an increase from the previous number of 95.000 % for 2016. MY: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 96.500 % 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 90.000 % in 1990. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 99.000 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Immunization: DPT: % of Children Aged 12-23 Months from 1990 to 2017 in the chart:
Malaysia Immunization: HepB3: % of One-Year-Old Children
MY: Immunization: HepB3: % of One-Year-Old Children data was reported at 98.000 % in 2017. This stayed constant from the previous number of 98.000 % for 2016. MY: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 96.000 % from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 99.000 % in 2015 and a record low of 69.000 % in 1989. MY: Immunization: HepB3: % of One-Year-Old Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 98.000 2017 | yearly | 1989 - 2017 |
View Malaysia's Malaysia Immunization: HepB3: % of One-Year-Old Children from 1989 to 2017 in the chart:
Malaysia Immunization: Measles: % of Children Aged 12-23 Months
MY: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 93.000 % in 2017. This stayed constant from the previous number of 93.000 % for 2016. MY: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 95.000 % from Dec 1983 (Median) to 2017, with 35 observations. The data reached an all-time high of 98.000 % in 1997 and a record low of 11.000 % in 1983. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 93.000 2017 | yearly | 1983 - 2017 |
View Malaysia's Malaysia Immunization: Measles: % of Children Aged 12-23 Months from 1983 to 2017 in the chart:
Malaysia Incidence of HIV: % of Uninfected Population Aged 15-49
MY: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.030 % in 2016. This stayed constant from the previous number of 0.030 % for 2015. MY: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.080 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.200 % in 1991 and a record low of 0.030 % in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.030 2016 | yearly | 1990 - 2016 |
View Malaysia's Malaysia Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Malaysia Incidence of Malaria: per 1,000 Population at Risk
MY: Incidence of Malaria: per 1,000 Population at Risk data was reported at 1.900 Number in 2015. This records a decrease from the previous number of 6.500 Number for 2010. MY: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 6.350 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 16.300 Number in 2000 and a record low of 1.900 Number in 2015. MY: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 1.900 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Malaysia Incidence of Tuberculosis: per 100,000 People
MY: Incidence of Tuberculosis: per 100,000 People data was reported at 92.000 Ratio in 2016. This records an increase from the previous number of 88.000 Ratio for 2015. MY: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 73.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 92.000 Ratio in 2016 and a record low of 68.000 Ratio in 2004. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 92.000 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Malaysia Intentional Homicides: Female: per 100,000 Female
MY: Intentional Homicides: Female: per 100,000 Female data was reported at 0.746 Ratio in 2010. MY: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.746 Ratio from Dec 2010 (Median) to 2010, with 1 observations. MY: 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 Malaysia – Table MY.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.746 2010 | yearly | 2010 - 2010 |
View Malaysia's Malaysia Intentional Homicides: Female: per 100,000 Female from 2010 to 2010 in the chart:
Malaysia Intentional Homicides: Male: per 100,000 Male
MY: Intentional Homicides: Male: per 100,000 Male data was reported at 3.026 Ratio in 2010. MY: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 3.026 Ratio from Dec 2010 (Median) to 2010, with 1 observations. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 3.026 2010 | yearly | 2010 - 2010 |
View Malaysia's Malaysia Intentional Homicides: Male: per 100,000 Male from 2010 to 2010 in the chart:
Malaysia Intentional Homicides: per 100,000 People
MY: Intentional Homicides: per 100,000 People data was reported at 2.111 Ratio in 2013. This records an increase from the previous number of 2.064 Ratio for 2012. MY: Intentional Homicides: per 100,000 People data is updated yearly, averaging 2.202 Ratio from Dec 1995 (Median) to 2013, with 19 observations. The data reached an all-time high of 2.818 Ratio in 1998 and a record low of 1.851 Ratio in 2011. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 2.111 2013 | yearly | 1995 - 2013 |
View Malaysia's Malaysia Intentional Homicides: per 100,000 People from 1995 to 2013 in the chart:
Malaysia Life Expectancy at Birth: Female
MY: Life Expectancy at Birth: Female data was reported at 77.700 Year in 2016. This records an increase from the previous number of 77.543 Year for 2015. MY: Life Expectancy at Birth: Female data is updated yearly, averaging 72.093 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 77.700 Year in 2016 and a record low of 60.322 Year in 1960. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 77.700 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Malaysia Life Expectancy at Birth: Male
MY: Life Expectancy at Birth: Male data was reported at 73.161 Year in 2016. This records an increase from the previous number of 73.008 Year for 2015. MY: Life Expectancy at Birth: Male data is updated yearly, averaging 68.517 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 73.161 Year in 2016 and a record low of 58.669 Year in 1960. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 73.161 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Malaysia Life Expectancy at Birth: Total
MY: Life Expectancy at Birth: Total data was reported at 75.300 Year in 2016. This records an increase from the previous number of 75.143 Year for 2015. MY: Life Expectancy at Birth: Total data is updated yearly, averaging 70.251 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.300 Year in 2016 and a record low of 59.466 Year in 1960. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 75.300 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Malaysia Lifetime Risk Of Maternal Death
MY: Lifetime Risk Of Maternal Death data was reported at 0.082 % in 2015. This records a decrease from the previous number of 0.085 % for 2014. MY: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.139 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.302 % in 1990 and a record low of 0.082 % in 2015. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.082 2015 | yearly | 1990 - 2015 |
View Malaysia's Malaysia Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Malaysia Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
MY: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 1,200.000 NA in 2015. This stayed constant from the previous number of 1,200.000 NA for 2014. MY: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 720.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 1,200.000 NA in 2015 and a record low of 330.000 NA in 1990. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 1,200.000 2015 | yearly | 1990 - 2015 |
View Malaysia's Malaysia Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Malaysia Low-Birthweight Babies: % of Births
MY: Low-Birthweight Babies: % of Births data was reported at 11.100 % in 2012. This records an increase from the previous number of 11.000 % for 2009. MY: Low-Birthweight Babies: % of Births data is updated yearly, averaging 10.500 % from Dec 1998 (Median) to 2012, with 5 observations. The data reached an all-time high of 11.100 % in 2012 and a record low of 9.000 % in 2002. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 11.100 2012 | yearly | 1998 - 2012 |
View Malaysia's Malaysia Low-Birthweight Babies: % of Births from 1998 to 2012 in the chart:
Malaysia Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
MY: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 40.000 Ratio in 2015. This records a decrease from the previous number of 41.000 Ratio for 2014. MY: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 54.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 79.000 Ratio in 1991 and a record low of 40.000 Ratio in 2015. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 40.000 2015 | yearly | 1990 - 2015 |
View Malaysia's Malaysia Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Malaysia Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
MY: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 25.200 Ratio in 2013. This records a decrease from the previous number of 26.200 Ratio for 2011. MY: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 29.000 Ratio from Dec 2003 (Median) to 2013, with 9 observations. The data reached an all-time high of 30.000 Ratio in 2009 and a record low of 25.200 Ratio in 2013. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 25.200 2013 | yearly | 2003 - 2013 |
View Malaysia's Malaysia Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 2003 to 2013 in the chart:
Malaysia Mortality Caused by Road Traffic Injury: per 100,000 People
MY: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 22.300 Number in 2015. This records a decrease from the previous number of 23.000 Number for 2010. MY: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 22.800 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 24.800 Number in 2000 and a record low of 22.300 Number in 2015. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 22.300 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Malaysia Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
MY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 39.000 NA in 2016. MY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 39.000 NA from Dec 2016 (Median) to 2016, with 1 observations. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 39.000 2016 | yearly | 2016 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Malaysia Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
MY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 56.000 NA in 2016. MY: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 56.000 NA from Dec 2016 (Median) to 2016, with 1 observations. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 56.000 2016 | yearly | 2016 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Malaysia Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
MY: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 47.400 Ratio in 2016. MY: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 47.400 Ratio from Dec 2016 (Median) to 2016, with 1 observations. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 47.400 2016 | yearly | 2016 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Malaysia Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
MY: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.300 Ratio in 2016. This stayed constant from the previous number of 0.300 Ratio for 2015. MY: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.400 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.600 Ratio in 2000 and a record low of 0.300 Ratio in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.300 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Malaysia Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
MY: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.600 Ratio in 2016. This stayed constant from the previous number of 0.600 Ratio for 2015. MY: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.700 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.900 Ratio in 2000 and a record low of 0.600 Ratio in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.600 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Malaysia Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
MY: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.500 Ratio in 2016. This stayed constant from the previous number of 0.500 Ratio for 2015. MY: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.700 Ratio in 2000 and a record low of 0.500 Ratio in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.500 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Malaysia Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
MY: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.400 Ratio in 2016. MY: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.400 Ratio from Dec 2016 (Median) to 2016, with 1 observations. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.400 2016 | yearly | 2016 - 2016 |
View Malaysia's Malaysia Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Malaysia Mortality Rate: Adult: Female: per 1000 Female Adults
MY: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 83.970 Ratio in 2016. This records a decrease from the previous number of 85.207 Ratio for 2015. MY: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 133.259 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 263.906 Ratio in 1960 and a record low of 83.970 Ratio in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 83.970 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Malaysia Mortality Rate: Adult: Male: per 1000 Male Adults
MY: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 156.532 Ratio in 2016. This records a decrease from the previous number of 158.239 Ratio for 2015. MY: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 199.133 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 286.653 Ratio in 1960 and a record low of 156.532 Ratio in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 156.532 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Malaysia Mortality Rate: Infant: Female: per 1000 Live Births
MY: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 6.100 Ratio in 2017. This records an increase from the previous number of 5.900 Ratio for 2015. MY: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 6.100 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 12.600 Ratio in 1990 and a record low of 5.900 Ratio in 2015. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 6.100 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2017 in the chart:
Malaysia Mortality Rate: Infant: Male: per 1000 Live Births
MY: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 7.300 Ratio in 2017. This records an increase from the previous number of 7.000 Ratio for 2015. MY: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 7.300 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 15.800 Ratio in 1990 and a record low of 7.000 Ratio in 2015. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 7.300 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2017 in the chart:
Malaysia Mortality Rate: Infant: per 1000 Live Births
MY: Mortality Rate: Infant: per 1000 Live Births data was reported at 7.100 Ratio in 2016. This records an increase from the previous number of 7.000 Ratio for 2015. MY: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 15.800 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 67.700 Ratio in 1960 and a record low of 6.700 Ratio in 2009. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 7.100 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Malaysia Mortality Rate: Neonatal: per 1000 Live Births
MY: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 4.400 Ratio in 2016. This records an increase from the previous number of 4.300 Ratio for 2015. MY: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 8.600 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 21.100 Ratio in 1960 and a record low of 4.100 Ratio in 2012. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 4.400 2016 | yearly | 1960 - 2016 |
View Malaysia's Malaysia Mortality Rate: Neonatal: per 1000 Live Births from 1960 to 2016 in the chart:
Malaysia Mortality Rate: Under-5: Female: per 1000 Live Births
MY: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 7.200 Ratio in 2017. This records an increase from the previous number of 6.900 Ratio for 2015. MY: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 7.200 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 14.800 Ratio in 1990 and a record low of 6.900 Ratio in 2015. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 7.200 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2017 in the chart:
Malaysia Mortality Rate: Under-5: Male: per 1000 Live Births
MY: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 8.500 Ratio in 2017. This records an increase from the previous number of 8.200 Ratio for 2015. MY: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 8.500 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 18.300 Ratio in 1990 and a record low of 8.200 Ratio in 2015. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 8.500 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2017 in the chart:
Malaysia Mortality Rate: Under-5: per 1000 Live Births
MY: Mortality Rate: Under-5: per 1000 Live Births data was reported at 7.900 Ratio in 2017. This records an increase from the previous number of 7.700 Ratio for 2016. MY: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 17.850 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 92.600 Ratio in 1960 and a record low of 7.400 Ratio in 2013. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 7.900 2017 | yearly | 1960 - 2017 |
View Malaysia's Malaysia Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2017 in the chart:
Malaysia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
MY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 17.200 % in 2016. This records a decrease from the previous number of 17.300 % for 2015. MY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 18.200 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 20.300 % in 2000 and a record low of 17.200 % in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 17.200 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Malaysia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
MY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 14.000 NA in 2016. This records a decrease from the previous number of 14.300 NA for 2015. MY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 15.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 17.700 NA in 2000 and a record low of 14.000 NA in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 14.000 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Malaysia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
MY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 20.100 NA in 2016. This records a decrease from the previous number of 20.300 NA for 2015. MY: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 21.200 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.800 NA in 2000 and a record low of 20.100 NA in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 20.100 2016 | yearly | 2000 - 2016 |
View Malaysia's Malaysia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Malaysia Newborns Protected Against Tetanus
MY: Newborns Protected Against Tetanus data was reported at 92.000 % in 2017. This records an increase from the previous number of 90.000 % for 2016. MY: Newborns Protected Against Tetanus data is updated yearly, averaging 85.000 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 92.000 % in 2017 and a record low of 19.000 % in 1984. MY: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 92.000 2017 | yearly | 1980 - 2017 |
View Malaysia's Malaysia Newborns Protected Against Tetanus from 1980 to 2017 in the chart:
Malaysia Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
MY: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 7,800.000 Number in 2017. This records an increase from the previous number of 7,600.000 Number for 2016. MY: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 7,800.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 14,000.000 Number in 1990 and a record low of 6,600.000 Number in 1992. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 7,800.000 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2017 in the chart:
Malaysia Newly Infected with HIV: Adults: Aged 15+
MY: Newly Infected with HIV: Adults: Aged 15+ data was reported at 7,800.000 Number in 2017. This records an increase from the previous number of 7,600.000 Number for 2016. MY: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 7,700.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 14,000.000 Number in 1990 and a record low of 6,600.000 Number in 1992. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 7,800.000 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2017 in the chart:
Malaysia Newly Infected with HIV: Children: Aged 0-14
MY: Newly Infected with HIV: Children: Aged 0-14 data was reported at 100.000 Number in 2017. This stayed constant from the previous number of 100.000 Number for 2016. MY: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 200.000 Number in 1997 and a record low of 100.000 Number in 2017. MY: Newly Infected with HIV: Children: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Number of children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 100.000 2017 | yearly | 1990 - 2017 |
View Malaysia's Malaysia Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2017 in the chart:
Malaysia Number of Death: Infant
MY: Number of Death: Infant data was reported at 3,582.000 Person in 2017. This records an increase from the previous number of 3,480.000 Person for 2016. MY: Number of Death: Infant data is updated yearly, averaging 7,501.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 23,021.000 Person in 1960 and a record low of 3,162.000 Person in 2008. MY: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 3,582.000 2017 | yearly | 1960 - 2017 |
View Malaysia's Malaysia Number of Death: Infant from 1960 to 2017 in the chart:
Malaysia Number of Death: Neonatal
MY: Number of Death: Neonatal data was reported at 2,295.000 Person in 2017. This records an increase from the previous number of 2,190.000 Person for 2016. MY: Number of Death: Neonatal data is updated yearly, averaging 4,087.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7,417.000 Person in 1960 and a record low of 1,893.000 Person in 2011. MY: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 2,295.000 2017 | yearly | 1960 - 2017 |
View Malaysia's Malaysia Number of Death: Neonatal from 1960 to 2017 in the chart:
Malaysia Number of Death: Under-5
MY: Number of Death: Under-5 data was reported at 4,168.000 Person in 2017. This records an increase from the previous number of 4,048.000 Person for 2016. MY: Number of Death: Under-5 data is updated yearly, averaging 8,700.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 31,096.000 Person in 1960 and a record low of 3,686.000 Person in 2011. MY: 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 Malaysia – Table MY.World Bank.WDI: 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 |
|---|---|---|
| 4,168.000 2017 | yearly | 1960 - 2017 |
View Malaysia's Malaysia Number of Death: Under-5 from 1960 to 2017 in the chart:
Malaysia Number of Deaths Ages 10-14 Years
MY: Number of Deaths Ages 10-14 Years data was reported at 719.000 Person in 2019. This records a decrease from the previous number of 731.000 Person for 2018. MY: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 841.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,017.000 Person in 1990 and a record low of 719.000 Person in 2019. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 719.000 2019 | yearly | 1990 - 2019 |
View Malaysia's Malaysia Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Malaysia Number of Deaths Ages 15-19 Years
MY: Number of Deaths Ages 15-19 Years data was reported at 1,628.000 Person in 2019. This records a decrease from the previous number of 1,724.000 Person for 2018. MY: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 1,881.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,975.000 Person in 2012 and a record low of 1,593.000 Person in 1990. MY: 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 Malaysia – Table MY.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1,628.000 2019 | yearly | 1990 - 2019 |
View Malaysia's Malaysia Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Malaysia Number of Deaths Ages 20-24 Years
MY: Number of Deaths Ages 20-24 Years data was reported at 2,026.000 Person in 2019. This records a decrease from the previous number of 2,055.000 Person for 2018. MY: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 2,196.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2,262.000 Person in 2003 and a record low of 2,026.000 Person in 2019. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 2,026.000 2019 | yearly | 1990 - 2019 |
View Malaysia's Malaysia Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Malaysia Number of Deaths Ages 5-14 Years
MY: Number of Deaths Ages 5-14 Years data was reported at 1,323.000 Person in 2016. This records a decrease from the previous number of 1,333.000 Person for 2015. MY: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 1,471.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 2,122.000 Person in 1990 and a record low of 1,323.000 Person in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 1,323.000 2016 | yearly | 1990 - 2016 |
View Malaysia's Malaysia Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Malaysia Number of Deaths Ages 5-9 Years
MY: Number of Deaths Ages 5-9 Years data was reported at 578.000 Person in 2019. This records an increase from the previous number of 573.000 Person for 2018. MY: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 740.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,076.000 Person in 1990 and a record low of 568.000 Person in 2016. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 578.000 2019 | yearly | 1990 - 2019 |
View Malaysia's Malaysia Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Malaysia Number of Maternal Death
MY: Number of Maternal Death data was reported at 200.000 Person in 2015. This records a decrease from the previous number of 210.000 Person for 2014. MY: Number of Maternal Death data is updated yearly, averaging 265.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 410.000 Person in 1991 and a record low of 200.000 Person in 2015. MY: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.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 |
|---|---|---|
| 200.000 2015 | yearly | 1990 - 2015 |
View Malaysia's Malaysia Number of Maternal Death from 1990 to 2015 in the chart:
Malaysia Nurses and Midwives: per 1000 People
MY: Nurses and Midwives: per 1000 People data was reported at 4.124 Ratio in 2015. This records an increase from the previous number of 3.397 Ratio for 2011. MY: Nurses and Midwives: per 1000 People data is updated yearly, averaging 2.943 Ratio from Dec 2000 (Median) to 2015, with 6 observations. The data reached an all-time high of 4.124 Ratio in 2015 and a record low of 1.658 Ratio in 2000. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 4.124 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Nurses and Midwives: per 1000 People from 2000 to 2015 in the chart:
Malaysia Out-of-Pocket Health Expenditure Per Capita: Current Price
MY: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MY: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. MY: Out-of-Pocket Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Malaysia Out-of-Pocket Health Expenditure: % of Current Health Expenditure
MY: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 36.668 % in 2015. This records an increase from the previous number of 36.578 % for 2014. MY: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 36.169 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 39.473 % in 2005 and a record low of 33.305 % in 2009. MY: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 36.668 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Malaysia Out-of-Pocket Helath Expenditure Per Capita: Current PPP
MY: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. MY: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MY: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Malaysia People Practicing Open Defecation: % of Population
MY: People Practicing Open Defecation: % of Population data was reported at 0.349 % in 2015. This records a decrease from the previous number of 0.356 % for 2014. MY: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.782 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.605 % in 2000 and a record low of 0.349 % in 2015. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.349 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Malaysia People Practicing Open Defecation: Rural: % of Rural Population
MY: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 1.124 % in 2015. This stayed constant from the previous number of 1.124 % for 2014. MY: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 2.000 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 3.458 % in 2000 and a record low of 1.124 % in 2015. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 1.124 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Malaysia People Practicing Open Defecation: Urban: % of Urban Population
MY: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.086 % in 2015. This stayed constant from the previous number of 0.086 % for 2014. MY: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.230 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.469 % in 2000 and a record low of 0.086 % in 2015. MY: 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 Malaysia – Table MY.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 |
|---|---|---|
| 0.086 2015 | yearly | 2000 - 2015 |
View Malaysia's Malaysia People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Malaysia People Using At Least Basic Drinking Water Services: % of Population
MY: People Using At Least Basic Drinking Water Services: % of Population data was reported at 96.434 % in 2015. This records a decrease from the previous number of 96.522 % for 2014. MY: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 97.210 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.190 % in 2001 and a record low of 96.434 % in 2015. MY: People Using At Least 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 Malaysia – Table MY.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 |
|---|---|---|
| 96.434 2015 | yearly | 2000 - 2015 |