Malta Health Statistics
Malta MT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
MT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 16.802 Ratio in 2016. This records a decrease from the previous number of 16.979 Ratio for 2015. MT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 14.680 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 20.650 Ratio in 1960 and a record low of 11.884 Ratio in 1992. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 16.80 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Malta MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 2.900 NA in 2016. This records an increase from the previous number of 2.600 NA for 2010. MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 2.750 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 2.900 NA in 2016 and a record low of 2.600 NA in 2010. MT: 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 Malta – Table MT.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.900 2016 | yearly | 2010 - 2016 |
View Malta's Malta MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Malta MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 13.200 NA in 2016. This records an increase from the previous number of 11.300 NA for 2010. MT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 12.250 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 13.200 NA in 2016 and a record low of 11.300 NA in 2010. MT: 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 Malta – Table MT.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 13.200 2016 | yearly | 2010 - 2016 |
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Malta MT: Antiretroviral Therapy Coverage: % of People Living with HIV
MT: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 75.000 % in 2016. This stayed constant from the previous number of 75.000 % for 2015. MT: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 32.000 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 75.000 % in 2016 and a record low of 22.000 % in 2004. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 75.00 2016 | yearly | 2000 - 2016 |
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Malta MT: Births Attended by Skilled Health Staff: % of Total
MT: Births Attended by Skilled Health Staff: % of Total data was reported at 99.900 % in 2013. This records an increase from the previous number of 99.500 % for 2012. MT: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.800 % from Dec 1993 (Median) to 2013, with 14 observations. The data reached an all-time high of 99.900 % in 2013 and a record low of 98.000 % in 1993. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 99.90 2013 | yearly | 1993 - 2013 |
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Malta MT: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
MT: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 6.400 % in 2016. This records an increase from the previous number of 6.000 % for 2015. MT: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 6.200 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 8.000 % in 2000 and a record low of 5.200 % in 2010. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 6.40 2016 | yearly | 2000 - 2016 |
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Malta MT: Cause of Death: by Injury: % of Total
MT: Cause of Death: by Injury: % of Total data was reported at 3.200 % in 2016. This stayed constant from the previous number of 3.200 % for 2015. MT: Cause of Death: by Injury: % of Total data is updated yearly, averaging 3.450 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 3.700 % in 2010 and a record low of 3.200 % in 2016. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 3.20 2016 | yearly | 2000 - 2016 |
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Malta MT: Cause of Death: by Non-Communicable Diseases: % of Total
MT: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 90.500 % in 2016. This records a decrease from the previous number of 90.800 % for 2015. MT: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 90.650 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 91.200 % in 2010 and a record low of 88.300 % in 2000. MT: 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 Malta – Table MT.World Bank: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 90.50 2016 | yearly | 2000 - 2016 |
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Malta MT: Completeness of Infant Death Reporting
MT: Completeness of Infant Death Reporting data was reported at 95.652 % in 2009. This records a decrease from the previous number of 100.000 % for 2008. MT: Completeness of Infant Death Reporting data is updated yearly, averaging 97.826 % from Dec 2008 (Median) to 2009, with 2 observations. The data reached an all-time high of 100.000 % in 2008 and a record low of 95.652 % in 2009. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 95.65 2009 | yearly | 2008 - 2009 |
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Malta MT: Completeness of Total Death Reporting
MT: Completeness of Total Death Reporting data was reported at 98.652 % in 2009. This records a decrease from the previous number of 100.000 % for 2008. MT: Completeness of Total Death Reporting data is updated yearly, averaging 99.326 % from Dec 2008 (Median) to 2009, with 2 observations. The data reached an all-time high of 100.000 % in 2008 and a record low of 98.652 % in 2009. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 98.65 2009 | yearly | 2008 - 2009 |
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Malta MT: Current Health Expenditure Per Capita: Current PPP
MT: Current Health Expenditure Per Capita: Current PPP data was reported at 0.003 Intl $ mn in 2015. This records an increase from the previous number of 0.003 Intl $ mn for 2014. MT: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.002 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.003 Intl $ mn in 2015 and a record low of 0.001 Intl $ mn in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Malta MT: Current Health Expenditure Per Capita: Current Price
MT: Current Health Expenditure Per Capita: Current Price data was reported at 0.002 USD mn in 2015. This records a decrease from the previous number of 0.002 USD mn for 2014. MT: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.002 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 USD mn in 2014 and a record low of 0.001 USD mn in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Malta MT: Current Health Expenditure: % of GDP
MT: Current Health Expenditure: % of GDP data was reported at 9.617 % in 2015. This records an increase from the previous number of 9.456 % for 2014. MT: Current Health Expenditure: % of GDP data is updated yearly, averaging 8.212 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 9.617 % in 2015 and a record low of 6.539 % in 2000. MT: 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 Malta – Table MT.World Bank.WDI: 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 |
|---|---|---|
| 9.62 2015 | yearly | 2000 - 2015 |
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Malta MT: Diabetes Prevalence: % of Population Aged 20-79
MT: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 8.830 % in 2017. MT: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 8.830 % from Dec 2017 (Median) to 2017, with 1 observations. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 8.83 2017 | yearly | 2017 - 2017 |
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Malta MT: Domestic General Government Health Expenditure Per Capita: Current PPP
MT: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.002 Intl $ mn in 2015. This records an increase from the previous number of 0.002 Intl $ mn for 2014. MT: Domestic General Government 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 0.002 Intl $ mn in 2015 and a record low of 0.001 Intl $ mn in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic General Government Health Expenditure Per Capita: Current Price
MT: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.002 USD mn for 2014. MT: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic General Government Health Expenditure: % of Current Health Expenditure
MT: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 60.657 % in 2015. This records a decrease from the previous number of 61.430 % for 2014. MT: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 67.116 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 72.523 % in 2000 and a record low of 60.657 % in 2015. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 60.66 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic General Government Health Expenditure: % of GDP
MT: Domestic General Government Health Expenditure: % of GDP data was reported at 5.833 % in 2015. This records an increase from the previous number of 5.809 % for 2014. MT: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 5.530 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 6.046 % in 2006 and a record low of 4.742 % in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 5.83 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic General Government Health Expenditure: % of General Government Expenditure
MT: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 14.156 % in 2015. This records an increase from the previous number of 14.005 % for 2014. MT: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 13.254 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 14.278 % in 2006 and a record low of 11.588 % in 2001. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 14.16 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic Private Health Expenditure Per Capita: Current PPP
MT: 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 0.001 Intl $ mn for 2014. MT: Domestic Private 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. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic Private Health Expenditure Per Capita: Current Price
MT: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.001 USD mn for 2014. MT: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Malta MT: Domestic Private Health Expenditure: % of Current Health Expenditure
MT: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 39.331 % in 2015. This records an increase from the previous number of 38.560 % for 2014. MT: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 32.863 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 39.331 % in 2015 and a record low of 27.477 % in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 39.33 2015 | yearly | 2000 - 2015 |
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Malta MT: External Health Expenditure Per Capita: Current PPP
MT: External Health 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. MT: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 0.000 Intl $ mn in 2013 and a record low of 0.000 Intl $ mn in 2012. MT: 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 Malta – Table MT.World Bank.WDI: 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 |
|---|---|---|
| 0.00 2015 | yearly | 2012 - 2015 |
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Malta MT: External Health Expenditure Per Capita: Current Price
MT: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. MT: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 0.000 USD mn in 2013 and a record low of 0.000 USD mn in 2012. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2012 - 2015 |
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Malta MT: External Health Expenditure: % of Current Health Expenditure
MT: External Health Expenditure: % of Current Health Expenditure data was reported at 0.013 % in 2015. This records an increase from the previous number of 0.009 % for 2014. MT: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.011 % from Dec 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 0.043 % in 2013 and a record low of 0.004 % in 2012. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.01 2015 | yearly | 2012 - 2015 |
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Malta MT: Female Adults with HIV: % of Population Aged 15+ with HIV
MT: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 24.348 % in 2016. This records a decrease from the previous number of 24.692 % for 2015. MT: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 29.484 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 35.819 % in 2005 and a record low of 23.941 % in 1990. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 24.35 2016 | yearly | 1990 - 2016 |
View Malta's Malta MT: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Malta MT: Fertility Rate: Total: Births per Woman
MT: Fertility Rate: Total: Births per Woman data was reported at 1.450 Ratio in 2016. This stayed constant from the previous number of 1.450 Ratio for 2015. MT: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.950 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.620 Ratio in 1960 and a record low of 1.350 Ratio in 2007. MT: 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 Malta – Table MT.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 1.45 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Malta MT: Hospital Beds: per 1000 People
MT: Hospital Beds: per 1000 People data was reported at 4.800 Number in 2012. This records an increase from the previous number of 4.440 Number for 2011. MT: Hospital Beds: per 1000 People data is updated yearly, averaging 5.631 Number from Dec 1960 (Median) to 2012, with 22 observations. The data reached an all-time high of 9.464 Number in 1984 and a record low of 4.440 Number in 2011. MT: 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 Malta – Table MT.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.80 2012 | yearly | 1960 - 2012 |
View Malta's Malta MT: Hospital Beds: per 1000 People from 1960 to 2012 in the chart:
Malta MT: Immunization: DPT: % of Children Aged 12-23 Months
MT: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 97.000 % in 2016. This stayed constant from the previous number of 97.000 % for 2015. MT: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 89.000 % from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 37.000 % in 1985. MT: 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 Malta – Table MT.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 97.00 2016 | yearly | 1984 - 2016 |
View Malta's Malta MT: Immunization: DPT: % of Children Aged 12-23 Months from 1984 to 2016 in the chart:
Malta MT: Immunization: HepB3: % of One-Year-Old Children
MT: Immunization: HepB3: % of One-Year-Old Children data was reported at 97.000 % in 2016. This records an increase from the previous number of 95.000 % for 2015. MT: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 86.000 % from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 97.000 % in 2016 and a record low of 75.000 % in 2010. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 97.00 2016 | yearly | 2003 - 2016 |
View Malta's Malta MT: Immunization: HepB3: % of One-Year-Old Children from 2003 to 2016 in the chart:
Malta MT: Immunization: Measles: % of Children Aged 12-23 Months
MT: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 93.000 % in 2016. This records an increase from the previous number of 89.000 % for 2015. MT: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 79.000 % from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 99.000 % in 2013 and a record low of 10.000 % in 1985. MT: 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 Malta – Table MT.World Bank: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 93.00 2016 | yearly | 1984 - 2016 |
View Malta's Malta MT: Immunization: Measles: % of Children Aged 12-23 Months from 1984 to 2016 in the chart:
Malta MT: Incidence of HIV: % of Uninfected Population Aged 15-49
MT: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.010 % in 2016. MT: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.010 % from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.World Bank: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.01 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Incidence of HIV: % of Uninfected Population Aged 15-49 from 2016 to 2016 in the chart:
Malta MT: Incidence of Tuberculosis: per 100,000 People
MT: Incidence of Tuberculosis: per 100,000 People data was reported at 13.000 Ratio in 2016. This records an increase from the previous number of 8.600 Ratio for 2015. MT: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 8.400 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 14.000 Ratio in 2013 and a record low of 2.000 Ratio in 2003. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 13.00 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Malta MT: Intentional Homicides: Female: per 100,000 Female
MT: Intentional Homicides: Female: per 100,000 Female data was reported at 0.938 Ratio in 2015. This records an increase from the previous number of 0.471 Ratio for 2014. MT: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.712 Ratio from Dec 2004 (Median) to 2015, with 12 observations. The data reached an all-time high of 1.967 Ratio in 2004 and a record low of 0.000 Ratio in 2013. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.94 2015 | yearly | 2004 - 2015 |
View Malta's Malta MT: Intentional Homicides: Female: per 100,000 Female from 2004 to 2015 in the chart:
Malta MT: Intentional Homicides: Male: per 100,000 Male
MT: Intentional Homicides: Male: per 100,000 Male data was reported at 0.932 Ratio in 2015. This records a decrease from the previous number of 2.345 Ratio for 2014. MT: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 1.459 Ratio from Dec 2004 (Median) to 2015, with 12 observations. The data reached an all-time high of 4.284 Ratio in 2012 and a record low of 0.000 Ratio in 2011. MT: 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 Malta – Table MT.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.93 2015 | yearly | 2004 - 2015 |
View Malta's Malta MT: Intentional Homicides: Male: per 100,000 Male from 2004 to 2015 in the chart:
Malta MT: Intentional Homicides: per 100,000 People
MT: Intentional Homicides: per 100,000 People data was reported at 1.000 Ratio in 2015. This records a decrease from the previous number of 1.400 Ratio for 2014. MT: Intentional Homicides: per 100,000 People data is updated yearly, averaging 1.135 Ratio from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 2.900 Ratio in 2012 and a record low of 0.000 Ratio in 2006. MT: 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 Malta – Table MT.World Bank: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2015 | yearly | 1998 - 2015 |
View Malta's Malta MT: Intentional Homicides: per 100,000 People from 1998 to 2015 in the chart:
Malta MT: Life Expectancy at Birth: Female
MT: Life Expectancy at Birth: Female data was reported at 84.000 Year in 2016. This stayed constant from the previous number of 84.000 Year for 2015. MT: Life Expectancy at Birth: Female data is updated yearly, averaging 77.249 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 84.200 Year in 2014 and a record low of 70.515 Year in 1960. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 84.00 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Malta MT: Life Expectancy at Birth: Male
MT: Life Expectancy at Birth: Male data was reported at 79.700 Year in 2016. This stayed constant from the previous number of 79.700 Year for 2015. MT: Life Expectancy at Birth: Male data is updated yearly, averaging 73.860 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 79.800 Year in 2014 and a record low of 66.767 Year in 1960. MT: 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 Malta – Table MT.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 79.70 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Malta MT: Life Expectancy at Birth: Total
MT: Life Expectancy at Birth: Total data was reported at 81.798 Year in 2016. This stayed constant from the previous number of 81.798 Year for 2015. MT: Life Expectancy at Birth: Total data is updated yearly, averaging 75.513 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 81.946 Year in 2014 and a record low of 68.595 Year in 1960. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 81.80 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Malta MT: Lifetime Risk Of Maternal Death
MT: Lifetime Risk Of Maternal Death data was reported at 0.012 % in 2015. This records a decrease from the previous number of 0.012 % for 2014. MT: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.020 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.031 % in 1992 and a record low of 0.012 % in 2015. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.01 2015 | yearly | 1990 - 2015 |
View Malta's Malta MT: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Malta MT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
MT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 8,300.000 NA in 2015. This records an increase from the previous number of 8,000.000 NA for 2014. MT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 5,000.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 8,300.000 NA in 2015 and a record low of 3,300.000 NA in 1992. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 8,300.00 2015 | yearly | 1990 - 2015 |
View Malta's Malta MT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Malta MT: Low-Birthweight Babies: % of Births
MT: Low-Birthweight Babies: % of Births data was reported at 7.000 % in 2011. This records an increase from the previous number of 6.000 % for 2001. MT: Low-Birthweight Babies: % of Births data is updated yearly, averaging 6.500 % from Dec 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 7.000 % in 2011 and a record low of 6.000 % in 2001. MT: 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 Malta – Table MT.World Bank: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7.00 2011 | yearly | 2001 - 2011 |
View Malta's Malta MT: Low-Birthweight Babies: % of Births from 2001 to 2011 in the chart:
Malta MT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
MT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 9.000 Ratio in 2015. This stayed constant from the previous number of 9.000 Ratio for 2014. MT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 13.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 16.000 Ratio in 1999 and a record low of 9.000 Ratio in 2015. MT: 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 Malta – Table MT.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 9.00 2015 | yearly | 1990 - 2015 |
View Malta's Malta MT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Malta MT: Mortality Caused by Road Traffic Injury: per 100,000 People
MT: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 5.500 Number in 2015. This records an increase from the previous number of 3.900 Number for 2010. MT: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 4.400 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 5.500 Number in 2015 and a record low of 3.900 Number in 2010. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 5.50 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Malta MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 15.000 NA in 2016. MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 15.000 NA from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 15.000 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Malta MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 26.000 NA in 2016. MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 26.000 NA from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 26.000 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Malta MT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
MT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 20.200 Ratio in 2016. MT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 20.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 20.20 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Malta MT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
MT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. MT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.100 Ratio in 2016 and a record low of 0.100 Ratio in 2016. MT: 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 Malta – Table MT.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Malta MT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
MT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.200 Ratio in 2016. This stayed constant from the previous number of 0.200 Ratio for 2015. MT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.200 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.300 Ratio in 2000 and a record low of 0.200 Ratio in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.20 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Malta MT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
MT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. MT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.200 Ratio in 2005 and a record low of 0.100 Ratio in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.10 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Malta MT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
MT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.100 Ratio in 2016. MT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.100 Ratio from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.10 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Malta MT: Mortality Rate: Adult: Female: per 1000 Female Adults
MT: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 39.860 Ratio in 2016. This records a decrease from the previous number of 40.399 Ratio for 2015. MT: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 68.242 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 120.272 Ratio in 1960 and a record low of 39.860 Ratio in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 39.86 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Malta MT: Mortality Rate: Adult: Male: per 1000 Male Adults
MT: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 67.396 Ratio in 2016. This records a decrease from the previous number of 68.847 Ratio for 2015. MT: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 111.895 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 183.276 Ratio in 1960 and a record low of 67.396 Ratio in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 67.40 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Malta MT: Mortality Rate: Infant: Female: per 1000 Live Births
MT: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 5.500 Ratio in 2016. This stayed constant from the previous number of 5.500 Ratio for 2015. MT: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 5.500 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 8.900 Ratio in 1990 and a record low of 5.500 Ratio in 2016. MT: 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 Malta – Table MT.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 5.50 2016 | yearly | 1990 - 2016 |
View Malta's Malta MT: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Malta MT: Mortality Rate: Infant: Male: per 1000 Live Births
MT: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 6.100 Ratio in 2017. This records a decrease from the previous number of 6.200 Ratio for 2015. MT: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 6.300 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 11.000 Ratio in 1990 and a record low of 6.100 Ratio in 2017. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 6.40 2016 | yearly | 1990 - 2016 |
View Malta's Malta MT: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Malta MT: Mortality Rate: Infant: per 1000 Live Births
MT: Mortality Rate: Infant: per 1000 Live Births data was reported at 5.900 Ratio in 2016. This records a decrease from the previous number of 6.000 Ratio for 2015. MT: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 10.700 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 36.400 Ratio in 1960 and a record low of 5.900 Ratio in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 5.90 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Malta MT: Mortality Rate: Neonatal: per 1000 Live Births
MT: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 4.600 Ratio in 2016. This stayed constant from the previous number of 4.600 Ratio for 2015. MT: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 6.800 Ratio from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 18.800 Ratio in 1970 and a record low of 4.600 Ratio in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 4.60 2016 | yearly | 1970 - 2016 |
View Malta's Malta MT: Mortality Rate: Neonatal: per 1000 Live Births from 1970 to 2016 in the chart:
Malta MT: Mortality Rate: Under-5: Female: per 1000 Live Births
MT: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 5.900 Ratio in 2017. This records a decrease from the previous number of 6.000 Ratio for 2015. MT: Mortality Rate: Under-5: 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 10.200 Ratio in 1990 and a record low of 5.900 Ratio in 2017. MT: 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 Malta – Table MT.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 6.30 2016 | yearly | 1990 - 2016 |
View Malta's Malta MT: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Malta MT: Mortality Rate: Under-5: Male: per 1000 Live Births
MT: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 7.000 Ratio in 2017. This records a decrease from the previous number of 7.100 Ratio for 2015. MT: Mortality Rate: Under-5: Male: 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 12.400 Ratio in 1990 and a record low of 7.000 Ratio in 2017. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 7.30 2016 | yearly | 1990 - 2016 |
View Malta's Malta MT: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Malta MT: Mortality Rate: Under-5: per 1000 Live Births
MT: Mortality Rate: Under-5: per 1000 Live Births data was reported at 6.800 Ratio in 2016. This records a decrease from the previous number of 6.900 Ratio for 2015. MT: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 12.100 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 40.700 Ratio in 1960 and a record low of 6.800 Ratio in 2016. MT: 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 Malta – Table MT.World Bank: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 6.80 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Malta MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 10.800 % in 2016. This stayed constant from the previous number of 10.800 % for 2015. MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 11.200 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 15.500 % in 2000 and a record low of 10.800 % in 2016. MT: 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 Malta – Table MT.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 10.80 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Malta MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 8.000 NA in 2016. This records an increase from the previous number of 7.900 NA for 2015. MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 8.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 11.900 NA in 2000 and a record low of 7.900 NA in 2015. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 8.000 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Malta MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 13.600 NA in 2016. This stayed constant from the previous number of 13.600 NA for 2015. MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 14.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 19.500 NA in 2000 and a record low of 13.600 NA in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 13.600 2016 | yearly | 2000 - 2016 |
View Malta's Malta MT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Malta MT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
MT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 100.000 Number in 2016. MT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 100.000 Number from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 2016 to 2016 in the chart:
Malta MT: Newly Infected with HIV: Adults: Aged 15+
MT: Newly Infected with HIV: Adults: Aged 15+ data was reported at 100.000 Number in 2016. MT: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 100.000 Number from Dec 2016 (Median) to 2016, with 1 observations. MT: 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 Malta – Table MT.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2016 | yearly | 2016 - 2016 |
View Malta's Malta MT: Newly Infected with HIV: Adults: Aged 15+ from 2016 to 2016 in the chart:
Malta MT: Number of Death: Infant
MT: Number of Death: Infant data was reported at 24.000 Person in 2017. This stayed constant from the previous number of 24.000 Person for 2016. MT: Number of Death: Infant data is updated yearly, averaging 58.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 280.000 Person in 1960 and a record low of 23.000 Person in 2012. MT: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.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 |
|---|---|---|
| 25.00 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Number of Death: Infant from 1960 to 2016 in the chart:
Malta MT: Number of Death: Neonatal
MT: Number of Death: Neonatal data was reported at 19.000 Person in 2017. This stayed constant from the previous number of 19.000 Person for 2016. MT: Number of Death: Neonatal data is updated yearly, averaging 35.000 Person from Dec 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 92.000 Person in 1971 and a record low of 18.000 Person in 2013. MT: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.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 |
|---|---|---|
| 20.00 2016 | yearly | 1971 - 2016 |
View Malta's Malta MT: Number of Death: Neonatal from 1971 to 2016 in the chart:
Malta MT: Number of Death: Under-5
MT: Number of Death: Under-5 data was reported at 29.000 Person in 2016. This stayed constant from the previous number of 29.000 Person for 2015. MT: Number of Death: Under-5 data is updated yearly, averaging 67.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 316.000 Person in 1960 and a record low of 26.000 Person in 2009. MT: 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 Malta – Table MT.World Bank: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 29.00 2016 | yearly | 1960 - 2016 |
View Malta's Malta MT: Number of Death: Under-5 from 1960 to 2016 in the chart:
Malta MT: Number of Deaths Ages 10-14 Years
MT: Number of Deaths Ages 10-14 Years data was reported at 2.000 Person in 2019. This stayed constant from the previous number of 2.000 Person for 2018. MT: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 4.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4.000 Person in 2006 and a record low of 2.000 Person in 2019. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 2.000 2019 | yearly | 1990 - 2019 |
View Malta's Malta MT: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Malta MT: Number of Deaths Ages 15-19 Years
MT: Number of Deaths Ages 15-19 Years data was reported at 5.000 Person in 2019. This stayed constant from the previous number of 5.000 Person for 2018. MT: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 9.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 12.000 Person in 1998 and a record low of 5.000 Person in 2019. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 5.000 2019 | yearly | 1990 - 2019 |
View Malta's Malta MT: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Malta MT: Number of Deaths Ages 20-24 Years
MT: Number of Deaths Ages 20-24 Years data was reported at 8.000 Person in 2019. This stayed constant from the previous number of 8.000 Person for 2018. MT: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 12.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 14.000 Person in 2002 and a record low of 8.000 Person in 2019. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 8.000 2019 | yearly | 1990 - 2019 |
View Malta's Malta MT: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Malta MT: Number of Deaths Ages 5-14 Years
MT: Number of Deaths Ages 5-14 Years data was reported at 4.000 Person in 2016. This stayed constant from the previous number of 4.000 Person for 2015. MT: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 4.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 9.000 Person in 1990 and a record low of 4.000 Person in 2016. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 4.00 2016 | yearly | 1990 - 2016 |
View Malta's Malta MT: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Malta MT: Number of Deaths Ages 5-9 Years
MT: Number of Deaths Ages 5-9 Years data was reported at 1.000 Person in 2019. This stayed constant from the previous number of 1.000 Person for 2018. MT: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 2.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4.000 Person in 1994 and a record low of 1.000 Person in 2019. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 1.000 2019 | yearly | 1990 - 2019 |
View Malta's Malta MT: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Malta MT: Number of Maternal Death
MT: Number of Maternal Death data was reported at 0.000 Person in 2015. This stayed constant from the previous number of 0.000 Person for 2014. MT: Number of Maternal Death data is updated yearly, averaging 1.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 1.000 Person in 2003 and a record low of 0.000 Person in 2015. MT: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 1990 - 2015 |
View Malta's Malta MT: Number of Maternal Death from 1990 to 2015 in the chart:
Malta MT: Nurses and Midwives: per 1000 People
MT: Nurses and Midwives: per 1000 People data was reported at 9.141 Ratio in 2015. This records an increase from the previous number of 9.083 Ratio for 2014. MT: Nurses and Midwives: per 1000 People data is updated yearly, averaging 7.525 Ratio from Dec 2006 (Median) to 2015, with 9 observations. The data reached an all-time high of 9.141 Ratio in 2015 and a record low of 5.980 Ratio in 2006. MT: 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 Malta – Table MT.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.14 2015 | yearly | 2006 - 2015 |
View Malta's Malta MT: Nurses and Midwives: per 1000 People from 2006 to 2015 in the chart:
Malta MT: Out-of-Pocket Health Expenditure Per Capita: Current Price
MT: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.001 USD mn for 2014. MT: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MT: 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 Malta – Table MT.World Bank: 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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Malta MT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
MT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 37.103 % in 2015. This records an increase from the previous number of 36.359 % for 2014. MT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 30.697 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 37.103 % in 2015 and a record low of 26.616 % in 2000. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 37.10 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Malta MT: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
MT: Out-of-Pocket Helath 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. MT: Out-of-Pocket Helath 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. MT: 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 Malta – Table MT.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Malta MT: People Practicing Open Defecation: % of Population
MT: People Practicing Open Defecation: % of Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. MT: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. MT: 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 Malta – Table MT.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Malta MT: People Practicing Open Defecation: Rural: % of Rural Population
MT: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. MT: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. MT: 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 Malta – Table MT.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Malta MT: People Practicing Open Defecation: Urban: % of Urban Population
MT: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. MT: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. MT: 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 Malta – Table MT.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Malta MT: People Using At Least Basic Drinking Water Services: % of Population
MT: People Using At Least Basic Drinking Water Services: % of Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. MT: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 100.000 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. MT: 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 Malta – Table MT.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Malta MT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
MT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. MT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 100.000 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. MT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Malta MT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
MT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. MT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 100.000 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. MT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Malta MT: People Using At Least Basic Sanitation Services: % of Population
MT: People Using At Least Basic Sanitation Services: % of Population data was reported at 99.961 % in 2015. This records a decrease from the previous number of 99.964 % for 2014. MT: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 99.983 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2001 and a record low of 99.961 % in 2015. MT: People Using At Least Basic Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.96 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Malta MT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
MT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. MT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 100.000 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. MT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Malta MT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
MT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 99.959 % in 2015. This records a decrease from the previous number of 99.963 % for 2014. MT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 99.982 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2001 and a record low of 99.959 % in 2015. MT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.96 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Malta MT: People Using Safely Managed Drinking Water Services: % of Population
MT: People Using Safely Managed Drinking Water Services: % of Population data was reported at 99.943 % in 2015. This records a decrease from the previous number of 99.946 % for 2014. MT: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 99.964 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.980 % in 2002 and a record low of 99.943 % in 2015. MT: People Using Safely Managed Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.94 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Malta MT: People Using Safely Managed Sanitation Services: % of Population
MT: People Using Safely Managed Sanitation Services: % of Population data was reported at 93.031 % in 2015. This records a decrease from the previous number of 93.033 % for 2014. MT: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 93.051 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.067 % in 2001 and a record low of 93.031 % in 2015. MT: People Using Safely Managed Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 93.03 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
Malta MT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population
MT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population data was reported at 93.067 % in 2015. This stayed constant from the previous number of 93.067 % for 2014. MT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 93.067 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.067 % in 2015 and a record low of 93.067 % in 2015. MT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 93.07 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Malta MT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population
MT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data was reported at 93.029 % in 2015. This records a decrease from the previous number of 93.032 % for 2014. MT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 93.050 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.067 % in 2001 and a record low of 93.029 % in 2015. MT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 93.03 2015 | yearly | 2000 - 2015 |
View Malta's Malta MT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Malta MT: Physicians: per 1000 People
MT: Physicians: per 1000 People data was reported at 3.908 Ratio in 2015. This records an increase from the previous number of 3.749 Ratio for 2014. MT: Physicians: per 1000 People data is updated yearly, averaging 2.465 Ratio from Dec 1960 (Median) to 2015, with 29 observations. The data reached an all-time high of 3.908 Ratio in 2015 and a record low of 0.891 Ratio in 1960. MT: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank.WDI: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.91 2015 | yearly | 1960 - 2015 |
View Malta's Malta MT: Physicians: per 1000 People from 1960 to 2015 in the chart:
Malta MT: Pregnant Women Receiving Prenatal Care
MT: Pregnant Women Receiving Prenatal Care data was reported at 100.000 % in 2008. This stayed constant from the previous number of 100.000 % for 2004. MT: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 100.000 % from Dec 2004 (Median) to 2008, with 2 observations. The data reached an all-time high of 100.000 % in 2008 and a record low of 100.000 % in 2008. MT: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 100.00 2008 | yearly | 2004 - 2008 |