Lithuania Health Statistics
Lithuania LT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
LT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 11.392 Ratio in 2016. This records a decrease from the previous number of 12.101 Ratio for 2015. LT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 22.408 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 44.877 Ratio in 1992 and a record low of 11.392 Ratio in 2016. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;
Last | Frequency | Range |
---|---|---|
11.39 2016 | yearly | 1960 - 2016 |
View Lithuania's Lithuania LT: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Lithuania LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 6.900 NA in 2016. This records a decrease from the previous number of 7.100 NA for 2010. LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 7.000 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 7.100 NA in 2010 and a record low of 6.900 NA in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
6.900 2016 | yearly | 2010 - 2016 |
View Lithuania's Lithuania LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Lithuania LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 24.900 NA in 2016. This stayed constant from the previous number of 24.900 NA for 2010. LT: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 24.900 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 24.900 NA in 2016 and a record low of 24.900 NA in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
24.900 2016 | yearly | 2010 - 2016 |
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Lithuania LT: Antiretroviral Therapy Coverage: % of People Living with HIV
LT: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 29.000 % in 2017. This records an increase from the previous number of 26.000 % for 2016. LT: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 10.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 29.000 % in 2017 and a record low of 0.000 % in 2002. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.; ; UNAIDS estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
23.00 2016 | yearly | 2000 - 2016 |
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Lithuania LT: Births Attended by Skilled Health Staff: % of Total
LT: Births Attended by Skilled Health Staff: % of Total data was reported at 100.000 % in 2014. This stayed constant from the previous number of 100.000 % for 2013. LT: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 100.000 % from Dec 1989 (Median) to 2014, with 26 observations. The data reached an all-time high of 100.000 % in 2014 and a record low of 100.000 % in 2014. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
Last | Frequency | Range |
---|---|---|
100.00 2014 | yearly | 1989 - 2014 |
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Lithuania LT: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
LT: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 3.600 % in 2016. This records an increase from the previous number of 3.300 % for 2015. LT: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 3.050 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 3.600 % in 2016 and a record low of 2.400 % in 2010. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
3.40 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Cause of Death: by Injury: % of Total
LT: Cause of Death: by Injury: % of Total data was reported at 6.600 % in 2016. This records a decrease from the previous number of 6.700 % for 2015. LT: Cause of Death: by Injury: % of Total data is updated yearly, averaging 7.550 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 11.900 % in 2000 and a record low of 6.600 % in 2016. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
6.20 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Cause of Death: by Non-Communicable Diseases: % of Total
LT: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 89.800 % in 2016. This records a decrease from the previous number of 90.000 % for 2015. LT: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 89.500 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 90.000 % in 2015 and a record low of 85.300 % in 2000. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
90.40 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Completeness of Infant Death Reporting
LT: Completeness of Infant Death Reporting data was reported at 71.495 % in 2010. This records a decrease from the previous number of 84.579 % for 2009. LT: Completeness of Infant Death Reporting data is updated yearly, averaging 82.290 % from Dec 2007 (Median) to 2010, with 4 observations. The data reached an all-time high of 87.963 % in 2007 and a record low of 71.495 % in 2010. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
Last | Frequency | Range |
---|---|---|
71.50 2010 | yearly | 2007 - 2010 |
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Lithuania LT: Completeness of Total Death Reporting
LT: Completeness of Total Death Reporting data was reported at 93.426 % in 2010. This records an increase from the previous number of 93.210 % for 2009. LT: Completeness of Total Death Reporting data is updated yearly, averaging 93.426 % from Dec 2007 (Median) to 2010, with 3 observations. The data reached an all-time high of 100.000 % in 2007 and a record low of 93.210 % in 2009. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;
Last | Frequency | Range |
---|---|---|
93.43 2010 | yearly | 2007 - 2010 |
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Lithuania LT: Current Health Expenditure Per Capita: Current PPP
LT: Current 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. LT: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. LT: 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 Lithuania – Table LT.World Bank.WDI: 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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Lithuania LT: Current Health Expenditure Per Capita: Current Price
LT: Current 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. LT: Current 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. LT: 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 Lithuania – Table LT.World Bank.WDI: 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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Lithuania LT: Current Health Expenditure: % of GDP
LT: Current Health Expenditure: % of GDP data was reported at 6.515 % in 2015. This records an increase from the previous number of 6.178 % for 2014. LT: Current Health Expenditure: % of GDP data is updated yearly, averaging 6.184 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 7.355 % in 2009 and a record low of 5.505 % in 2004. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
Last | Frequency | Range |
---|---|---|
6.51 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Diabetes Prevalence: % of Population Aged 20-79
LT: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 3.670 % in 2017. LT: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 3.670 % from Dec 2017 (Median) to 2017, with 1 observations. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
Last | Frequency | Range |
---|---|---|
3.67 2017 | yearly | 2017 - 2017 |
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Lithuania LT: Domestic General Government Health Expenditure Per Capita: Current PPP
LT: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. LT: 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 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. LT: 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 Lithuania – Table LT.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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Lithuania LT: Domestic General Government Health Expenditure Per Capita: Current Price
LT: 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 0.001 USD mn for 2014. LT: 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 0.001 USD mn in 2014 and a record low of 0.000 USD mn in 2000. LT: 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 Lithuania – Table LT.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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Lithuania LT: Domestic General Government Health Expenditure: % of Current Health Expenditure
LT: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 65.866 % in 2015. This records a decrease from the previous number of 66.741 % for 2014. LT: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 69.864 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 75.696 % in 2003 and a record low of 65.866 % in 2015. LT: 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 Lithuania – Table LT.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 |
---|---|---|
65.87 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Domestic General Government Health Expenditure: % of GDP
LT: Domestic General Government Health Expenditure: % of GDP data was reported at 4.290 % in 2015. This records an increase from the previous number of 4.124 % for 2014. LT: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 4.206 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 5.331 % in 2009 and a record low of 3.663 % in 2004. LT: 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 Lithuania – Table LT.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 |
---|---|---|
4.29 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Domestic General Government Health Expenditure: % of General Government Expenditure
LT: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 12.216 % in 2015. This records an increase from the previous number of 11.859 % for 2014. LT: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 11.584 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 14.079 % in 2003 and a record low of 10.159 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
12.22 2015 | yearly | 2000 - 2015 |
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Lithuania LT: Domestic Private Health Expenditure Per Capita: Current PPP
LT: 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. LT: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. LT: 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 Lithuania – Table LT.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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Lithuania LT: Domestic Private Health Expenditure Per Capita: Current Price
LT: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. LT: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. LT: 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 Lithuania – Table LT.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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Lithuania LT: Domestic Private Health Expenditure: % of Current Health Expenditure
LT: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 33.847 % in 2015. This records an increase from the previous number of 33.126 % for 2014. LT: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 28.894 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 33.847 % in 2015 and a record low of 24.015 % in 2003. LT: 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 Lithuania – Table LT.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 |
---|---|---|
33.85 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Lithuania LT: External Health Expenditure Per Capita: Current PPP
LT: 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. LT: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2000 and a record low of 0.000 Intl $ mn in 2008. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.00 2015 | yearly | 2000 - 2015 |
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Lithuania LT: External Health Expenditure Per Capita: Current Price
LT: 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. LT: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2000 and a record low of 0.000 USD mn in 2008. LT: 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 Lithuania – Table LT.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 | 2000 - 2015 |
View Lithuania's Lithuania LT: External Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Lithuania LT: External Health Expenditure: % of Current Health Expenditure
LT: External Health Expenditure: % of Current Health Expenditure data was reported at 0.288 % in 2015. This records an increase from the previous number of 0.133 % for 2014. LT: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.049 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 3.851 % in 2000 and a record low of 0.000 % in 2004. LT: 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 Lithuania – Table LT.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 |
---|---|---|
0.29 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: External Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Lithuania LT: Female Adults with HIV: % of Population Aged 15+ with HIV
LT: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 29.567 % in 2016. This records an increase from the previous number of 29.543 % for 2015. LT: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 29.293 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 30.084 % in 2009 and a record low of 23.215 % in 1990. LT: 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 Lithuania – Table LT.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 |
---|---|---|
29.57 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Lithuania LT: Fertility Rate: Total: Births per Woman
LT: Fertility Rate: Total: Births per Woman data was reported at 1.700 Ratio in 2016. This stayed constant from the previous number of 1.700 Ratio for 2015. LT: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.990 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.560 Ratio in 1960 and a record low of 1.230 Ratio in 2002. LT: 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 Lithuania – Table LT.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 |
---|---|---|
1.70 2016 | yearly | 1960 - 2016 |
View Lithuania's Lithuania LT: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Lithuania LT: Hospital Beds: per 1000 People
LT: Hospital Beds: per 1000 People data was reported at 7.000 Number in 2011. This records an increase from the previous number of 6.750 Number for 2010. LT: Hospital Beds: per 1000 People data is updated yearly, averaging 10.535 Number from Dec 1980 (Median) to 2011, with 26 observations. The data reached an all-time high of 12.805 Number in 1988 and a record low of 6.750 Number in 2010. LT: 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 Lithuania – Table LT.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 |
---|---|---|
7.00 2011 | yearly | 1980 - 2011 |
View Lithuania's Lithuania LT: Hospital Beds: per 1000 People from 1980 to 2011 in the chart:
Lithuania LT: Immunization: DPT: % of Children Aged 12-23 Months
LT: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 94.000 % in 2016. This records an increase from the previous number of 93.000 % for 2015. LT: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 93.000 % from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 98.000 % in 2009 and a record low of 78.000 % in 1992. LT: 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 Lithuania – Table LT.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 |
---|---|---|
94.00 2016 | yearly | 1992 - 2016 |
View Lithuania's Lithuania LT: Immunization: DPT: % of Children Aged 12-23 Months from 1992 to 2016 in the chart:
Lithuania LT: Immunization: HepB3: % of One-Year-Old Children
LT: Immunization: HepB3: % of One-Year-Old Children data was reported at 95.000 % in 2016. This records an increase from the previous number of 94.000 % for 2015. LT: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 95.000 % from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 98.000 % in 2000 and a record low of 73.000 % in 1998. LT: 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 Lithuania – Table LT.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 |
---|---|---|
95.00 2016 | yearly | 1998 - 2016 |
View Lithuania's Lithuania LT: Immunization: HepB3: % of One-Year-Old Children from 1998 to 2016 in the chart:
Lithuania LT: Immunization: Measles: % of Children Aged 12-23 Months
LT: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 94.000 % in 2016. This stayed constant from the previous number of 94.000 % for 2015. LT: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 96.000 % from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 98.000 % in 2004 and a record low of 89.000 % in 1992. LT: 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 Lithuania – Table LT.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 |
---|---|---|
94.00 2016 | yearly | 1992 - 2016 |
View Lithuania's Lithuania LT: Immunization: Measles: % of Children Aged 12-23 Months from 1992 to 2016 in the chart:
Lithuania LT: Incidence of HIV: % of Uninfected Population Aged 15-49
LT: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.020 % in 2016. This stayed constant from the previous number of 0.020 % for 2015. LT: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.010 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.020 % in 2016 and a record low of 0.010 % in 2009. LT: 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 Lithuania – Table LT.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 |
---|---|---|
0.02 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Lithuania LT: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49
LT: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data was reported at 0.190 Ratio in 2019. This stayed constant from the previous number of 0.190 Ratio for 2018. LT: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data is updated yearly, averaging 0.110 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 0.210 Ratio in 2001 and a record low of 0.020 Ratio in 1990. LT: Incidence of HIV: per 1,000 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
0.190 2019 | yearly | 1990 - 2019 |
View Lithuania's Lithuania LT: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 from 1990 to 2019 in the chart:
Lithuania LT: Incidence of Tuberculosis: per 100,000 People
LT: Incidence of Tuberculosis: per 100,000 People data was reported at 53.000 Ratio in 2016. This records a decrease from the previous number of 55.000 Ratio for 2015. LT: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 78.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 102.000 Ratio in 2000 and a record low of 53.000 Ratio in 2016. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
Last | Frequency | Range |
---|---|---|
53.00 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Lithuania LT: Intentional Homicides: Female: per 100,000 Female
LT: Intentional Homicides: Female: per 100,000 Female data was reported at 2.924 Ratio in 2016. This records a decrease from the previous number of 3.098 Ratio for 2015. LT: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 4.110 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 7.191 Ratio in 2004 and a record low of 2.924 Ratio in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
2.92 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Intentional Homicides: Female: per 100,000 Female from 2000 to 2016 in the chart:
Lithuania LT: Intentional Homicides: Male: per 100,000 Male
LT: Intentional Homicides: Male: per 100,000 Male data was reported at 7.968 Ratio in 2016. This records a decrease from the previous number of 9.110 Ratio for 2015. LT: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 13.538 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 17.508 Ratio in 2005 and a record low of 7.775 Ratio in 2014. LT: 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 Lithuania – Table LT.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 |
---|---|---|
7.97 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Intentional Homicides: Male: per 100,000 Male from 2000 to 2016 in the chart:
Lithuania LT: Intentional Homicides: per 100,000 People
LT: Intentional Homicides: per 100,000 People data was reported at 6.000 Ratio in 2015. This records an increase from the previous number of 5.500 Ratio for 2014. LT: Intentional Homicides: per 100,000 People data is updated yearly, averaging 8.700 Ratio from Dec 1995 (Median) to 2015, with 17 observations. The data reached an all-time high of 13.833 Ratio in 1995 and a record low of 5.500 Ratio in 2014. LT: 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 Lithuania – Table LT.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 |
---|---|---|
6.00 2015 | yearly | 1995 - 2015 |
View Lithuania's Lithuania LT: Intentional Homicides: per 100,000 People from 1995 to 2015 in the chart:
Lithuania LT: Life Expectancy at Birth: Female
LT: Life Expectancy at Birth: Female data was reported at 79.700 Year in 2016. This stayed constant from the previous number of 79.700 Year for 2015. LT: Life Expectancy at Birth: Female data is updated yearly, averaging 75.910 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 80.100 Year in 2014 and a record low of 72.440 Year in 1962. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Lithuania LT: Life Expectancy at Birth: Male
LT: Life Expectancy at Birth: Male data was reported at 69.200 Year in 2016. This stayed constant from the previous number of 69.200 Year for 2015. LT: Life Expectancy at Birth: Male data is updated yearly, averaging 66.400 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 69.200 Year in 2016 and a record low of 62.540 Year in 1994. LT: 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 Lithuania – Table LT.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 |
---|---|---|
69.20 2016 | yearly | 1960 - 2016 |
View Lithuania's Lithuania LT: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Lithuania LT: Life Expectancy at Birth: Total
LT: Life Expectancy at Birth: Total data was reported at 74.322 Year in 2016. This stayed constant from the previous number of 74.322 Year for 2015. LT: Life Expectancy at Birth: Total data is updated yearly, averaging 71.220 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 74.517 Year in 2014 and a record low of 68.530 Year in 1994. LT: 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 Lithuania – Table LT.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 |
---|---|---|
74.32 2016 | yearly | 1960 - 2016 |
View Lithuania's Lithuania LT: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Lithuania LT: Lifetime Risk Of Maternal Death
LT: Lifetime Risk Of Maternal Death data was reported at 0.016 % in 2015. This records an increase from the previous number of 0.015 % for 2014. LT: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.017 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.059 % in 1990 and a record low of 0.013 % in 2010. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
Last | Frequency | Range |
---|---|---|
0.02 2015 | yearly | 1990 - 2015 |
View Lithuania's Lithuania LT: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Lithuania LT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
LT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 6,300.000 NA in 2015. This records a decrease from the previous number of 6,600.000 NA for 2014. LT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 5,850.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 7,800.000 NA in 2010 and a record low of 1,700.000 NA in 1990. LT: 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 Lithuania – Table LT.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 |
---|---|---|
6,300.00 2015 | yearly | 1990 - 2015 |
View Lithuania's Lithuania LT: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Lithuania LT: Low-Birthweight Babies: % of Births
LT: Low-Birthweight Babies: % of Births data was reported at 4.800 % in 2012. This records an increase from the previous number of 4.000 % for 2001. LT: Low-Birthweight Babies: % of Births data is updated yearly, averaging 4.400 % from Dec 2001 (Median) to 2012, with 2 observations. The data reached an all-time high of 4.800 % in 2012 and a record low of 4.000 % in 2001. LT: 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 Lithuania – Table LT.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 |
---|---|---|
4.80 2012 | yearly | 2001 - 2012 |
View Lithuania's Lithuania LT: Low-Birthweight Babies: % of Births from 2001 to 2012 in the chart:
Lithuania LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 10.000 Ratio in 2015. This stayed constant from the previous number of 10.000 Ratio for 2014. LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 14.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 31.000 Ratio in 1994 and a record low of 9.000 Ratio in 2010. LT: 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 Lithuania – Table LT.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 |
---|---|---|
10.00 2015 | yearly | 1990 - 2015 |
View Lithuania's Lithuania LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Lithuania LT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
LT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 9.800 Ratio in 2012. This records an increase from the previous number of 5.800 Ratio for 2011. LT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 9.800 Ratio from Dec 2001 (Median) to 2012, with 7 observations. The data reached an all-time high of 16.400 Ratio in 2004 and a record low of 3.000 Ratio in 2003. LT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; ;
Last | Frequency | Range |
---|---|---|
9.80 2012 | yearly | 2001 - 2012 |
View Lithuania's Lithuania LT: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 2001 to 2012 in the chart:
Lithuania LT: Mortality Caused by Road Traffic Injury: per 100,000 People
LT: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 13.000 Number in 2015. This records a decrease from the previous number of 13.200 Number for 2010. LT: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 18.450 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 27.000 Number in 2005 and a record low of 13.000 Number in 2015. LT: 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 Lithuania – Table LT.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 |
---|---|---|
13.00 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Lithuania LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 23.000 NA in 2016. LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 23.000 NA from Dec 2016 (Median) to 2016, with 1 observations. LT: 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 Lithuania – Table LT.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 |
---|---|---|
23.000 2016 | yearly | 2016 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Lithuania LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 51.000 NA in 2016. LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 51.000 NA from Dec 2016 (Median) to 2016, with 1 observations. LT: 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 Lithuania – Table LT.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 |
---|---|---|
51.000 2016 | yearly | 2016 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Lithuania LT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
LT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 34.000 Ratio in 2016. LT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 34.000 Ratio from Dec 2016 (Median) to 2016, with 1 observations. LT: 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 Lithuania – Table LT.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 |
---|---|---|
34.00 2016 | yearly | 2016 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Lithuania LT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
LT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.300 Ratio in 2016. This stayed constant from the previous number of 0.300 Ratio for 2015. LT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.400 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.800 Ratio in 2000 and a record low of 0.300 Ratio in 2016. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.30 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Lithuania LT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
LT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 1.200 Ratio in 2016. This records a decrease from the previous number of 1.300 Ratio for 2015. LT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 1.700 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.600 Ratio in 2000 and a record low of 1.200 Ratio in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
1.20 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Lithuania LT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
LT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.700 Ratio in 2016. This records a decrease from the previous number of 0.800 Ratio for 2015. LT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 1.000 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.100 Ratio in 2000 and a record low of 0.700 Ratio in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
0.70 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Lithuania LT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
LT: 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. LT: 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. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Lithuania LT: Mortality Rate: Adult: Female: per 1000 Female Adults
LT: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 84.646 Ratio in 2014. This records a decrease from the previous number of 91.618 Ratio for 2013. LT: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 108.700 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 134.551 Ratio in 1994 and a record low of 84.646 Ratio in 2014. LT: 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 Lithuania – Table LT.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 |
---|---|---|
84.65 2014 | yearly | 1960 - 2014 |
View Lithuania's Lithuania LT: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2014 in the chart:
Lithuania LT: Mortality Rate: Adult: Male: per 1000 Male Adults
LT: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 250.355 Ratio in 2014. This records a decrease from the previous number of 266.025 Ratio for 2013. LT: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 284.360 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 380.916 Ratio in 1994 and a record low of 201.370 Ratio in 1964. LT: 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 Lithuania – Table LT.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 |
---|---|---|
250.35 2014 | yearly | 1960 - 2014 |
View Lithuania's Lithuania LT: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2014 in the chart:
Lithuania LT: Mortality Rate: Infant: Female: per 1000 Live Births
LT: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 3.900 Ratio in 2016. This records an increase from the previous number of 3.800 Ratio for 2015. LT: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 4.500 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 10.500 Ratio in 1990 and a record low of 3.800 Ratio in 2015. LT: 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 Lithuania – Table LT.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 |
---|---|---|
3.90 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Lithuania LT: Mortality Rate: Infant: Male: per 1000 Live Births
LT: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 4.600 Ratio in 2016. This records an increase from the previous number of 4.400 Ratio for 2015. LT: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 5.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 13.000 Ratio in 1990 and a record low of 4.400 Ratio in 2015. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
4.60 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Lithuania LT: Mortality Rate: Infant: per 1000 Live Births
LT: Mortality Rate: Infant: per 1000 Live Births data was reported at 4.300 Ratio in 2016. This records an increase from the previous number of 4.100 Ratio for 2015. LT: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 11.950 Ratio from Dec 1967 (Median) to 2016, with 50 observations. The data reached an all-time high of 21.800 Ratio in 1967 and a record low of 3.900 Ratio in 2014. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
4.30 2016 | yearly | 1967 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Infant: per 1000 Live Births from 1967 to 2016 in the chart:
Lithuania LT: Mortality Rate: Neonatal: per 1000 Live Births
LT: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 2.500 Ratio in 2016. This records an increase from the previous number of 2.400 Ratio for 2015. LT: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 4.950 Ratio from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 10.900 Ratio in 1992 and a record low of 2.400 Ratio in 2015. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.
Last | Frequency | Range |
---|---|---|
2.50 2016 | yearly | 1981 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Neonatal: per 1000 Live Births from 1981 to 2016 in the chart:
Lithuania LT: Mortality Rate: Under-5: Female: per 1000 Live Births
LT: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 4.900 Ratio in 2016. This records an increase from the previous number of 4.700 Ratio for 2015. LT: Mortality Rate: Under-5: 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 13.200 Ratio in 1990 and a record low of 4.700 Ratio in 2015. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
4.90 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Lithuania LT: Mortality Rate: Under-5: Male: per 1000 Live Births
LT: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 5.800 Ratio in 2016. This records an increase from the previous number of 5.500 Ratio for 2015. LT: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 6.600 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.500 Ratio in 1990 and a record low of 5.500 Ratio in 2015. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
5.80 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Lithuania LT: Mortality Rate: Under-5: per 1000 Live Births
LT: Mortality Rate: Under-5: per 1000 Live Births data was reported at 4.300 Ratio in 2017. This records a decrease from the previous number of 4.700 Ratio for 2016. LT: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 15.100 Ratio from Dec 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 26.400 Ratio in 1968 and a record low of 4.300 Ratio in 2017. LT: 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 Lithuania – Table LT.World Bank.WDI: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
5.30 2016 | yearly | 1967 - 2016 |
View Lithuania's Lithuania LT: Mortality Rate: Under-5: per 1000 Live Births from 1967 to 2016 in the chart:
Lithuania LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 20.700 % in 2016. This records a decrease from the previous number of 22.200 % for 2015. LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 23.600 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 25.900 % in 2005 and a record low of 20.700 % in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
20.00 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
Lithuania LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 12.400 NA in 2016. This records a decrease from the previous number of 13.300 NA for 2015. LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 14.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 15.500 NA in 2005 and a record low of 12.400 NA in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
12.400 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Lithuania LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 30.600 NA in 2016. This records a decrease from the previous number of 32.800 NA for 2015. LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 34.600 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 38.000 NA in 2005 and a record low of 30.600 NA in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
30.600 2016 | yearly | 2000 - 2016 |
View Lithuania's Lithuania LT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Lithuania LT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
LT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 500.000 Number in 2016. This stayed constant from the previous number of 500.000 Number for 2015. LT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 500.000 Number in 2016 and a record low of 100.000 Number in 1993. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
Last | Frequency | Range |
---|---|---|
500.00 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2016 in the chart:
Lithuania LT: Newly Infected with HIV: Adults: Aged 15+
LT: Newly Infected with HIV: Adults: Aged 15+ data was reported at 500.000 Number in 2016. This stayed constant from the previous number of 500.000 Number for 2015. LT: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 500.000 Number in 2016 and a record low of 100.000 Number in 1993. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
Last | Frequency | Range |
---|---|---|
500.00 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2016 in the chart:
Lithuania LT: Number of Death: Infant
LT: Number of Death: Infant data was reported at 106.000 Person in 2017. This records a decrease from the previous number of 119.000 Person for 2016. LT: Number of Death: Infant data is updated yearly, averaging 637.500 Person from Dec 1968 (Median) to 2017, with 50 observations. The data reached an all-time high of 1,131.000 Person in 1968 and a record low of 106.000 Person in 2017. LT: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.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 |
---|---|---|
134.00 2016 | yearly | 1968 - 2016 |
View Lithuania's Lithuania LT: Number of Death: Infant from 1968 to 2016 in the chart:
Lithuania LT: Number of Death: Neonatal
LT: Number of Death: Neonatal data was reported at 78.000 Person in 2016. This records an increase from the previous number of 75.000 Person for 2015. LT: Number of Death: Neonatal data is updated yearly, averaging 167.000 Person from Dec 1982 (Median) to 2016, with 35 observations. The data reached an all-time high of 553.000 Person in 1992 and a record low of 75.000 Person in 2015. LT: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Health Statistics. Number of neonates dying before reaching 28 days of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
Last | Frequency | Range |
---|---|---|
78.00 2016 | yearly | 1982 - 2016 |
View Lithuania's Lithuania LT: Number of Death: Neonatal from 1982 to 2016 in the chart:
Lithuania LT: Number of Death: Under-5
LT: Number of Death: Under-5 data was reported at 165.000 Person in 2016. This records an increase from the previous number of 160.000 Person for 2015. LT: Number of Death: Under-5 data is updated yearly, averaging 800.000 Person from Dec 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 1,206.000 Person in 1975 and a record low of 154.000 Person in 2014. LT: 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 Lithuania – Table LT.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 |
---|---|---|
165.00 2016 | yearly | 1972 - 2016 |
View Lithuania's Lithuania LT: Number of Death: Under-5 from 1972 to 2016 in the chart:
Lithuania LT: Number of Deaths Ages 10-14 Years
LT: Number of Deaths Ages 10-14 Years data was reported at 19.000 Person in 2019. This records a decrease from the previous number of 21.000 Person for 2018. LT: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 63.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 106.000 Person in 1990 and a record low of 19.000 Person in 2019. LT: 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 Lithuania – Table LT.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 |
---|---|---|
19.000 2019 | yearly | 1990 - 2019 |
View Lithuania's Lithuania LT: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Lithuania LT: Number of Deaths Ages 15-19 Years
LT: Number of Deaths Ages 15-19 Years data was reported at 57.000 Person in 2019. This records a decrease from the previous number of 62.000 Person for 2018. LT: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 221.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 284.000 Person in 1991 and a record low of 57.000 Person in 2019. LT: 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 Lithuania – Table LT.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 |
---|---|---|
57.000 2019 | yearly | 1990 - 2019 |
View Lithuania's Lithuania LT: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Lithuania LT: Number of Deaths Ages 20-24 Years
LT: Number of Deaths Ages 20-24 Years data was reported at 98.000 Person in 2019. This records a decrease from the previous number of 115.000 Person for 2018. LT: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 343.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 472.000 Person in 1994 and a record low of 98.000 Person in 2019. LT: 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 Lithuania – Table LT.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 |
---|---|---|
98.000 2019 | yearly | 1990 - 2019 |
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Lithuania LT: Number of Deaths Ages 5-14 Years
LT: Number of Deaths Ages 5-14 Years data was reported at 47.000 Person in 2016. This stayed constant from the previous number of 47.000 Person for 2015. LT: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 69.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 235.000 Person in 1990 and a record low of 47.000 Person in 2016. LT: 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 Lithuania – Table LT.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 |
---|---|---|
47.00 2016 | yearly | 1990 - 2016 |
View Lithuania's Lithuania LT: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Lithuania LT: Number of Deaths Ages 5-9 Years
LT: Number of Deaths Ages 5-9 Years data was reported at 18.000 Person in 2019. This stayed constant from the previous number of 18.000 Person for 2018. LT: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 47.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 139.000 Person in 1990 and a record low of 18.000 Person in 2019. LT: 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 Lithuania – Table LT.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 |
---|---|---|
18.000 2019 | yearly | 1990 - 2019 |
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Lithuania LT: Number of Maternal Death
LT: Number of Maternal Death data was reported at 3.000 Person in 2015. This stayed constant from the previous number of 3.000 Person for 2014. LT: Number of Maternal Death data is updated yearly, averaging 4.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 16.000 Person in 1990 and a record low of 3.000 Person in 2015. LT: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.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 |
---|---|---|
3.00 2015 | yearly | 1990 - 2015 |
View Lithuania's Lithuania LT: Number of Maternal Death from 1990 to 2015 in the chart:
Lithuania LT: Nurses and Midwives: per 1000 People
LT: Nurses and Midwives: per 1000 People data was reported at 8.050 Ratio in 2015. This records an increase from the previous number of 7.951 Ratio for 2014. LT: Nurses and Midwives: per 1000 People data is updated yearly, averaging 7.723 Ratio from Dec 2006 (Median) to 2015, with 9 observations. The data reached an all-time high of 8.050 Ratio in 2015 and a record low of 7.320 Ratio in 2008. LT: 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 Lithuania – Table LT.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 |
---|---|---|
8.05 2015 | yearly | 2006 - 2015 |
View Lithuania's Lithuania LT: Nurses and Midwives: per 1000 People from 2006 to 2015 in the chart:
Lithuania LT: Out-of-Pocket Health Expenditure Per Capita: Current Price
LT: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. LT: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Lithuania LT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
LT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 32.072 % in 2015. This records an increase from the previous number of 31.542 % for 2014. LT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 28.311 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 32.968 % in 2004 and a record low of 23.919 % in 2003. LT: 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 Lithuania – Table LT.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 |
---|---|---|
32.07 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Lithuania LT: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
LT: 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. LT: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Lithuania LT: People Practicing Open Defecation: % of Population
LT: 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. LT: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Lithuania LT: People Practicing Open Defecation: Rural: % of Rural Population
LT: 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. LT: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Lithuania LT: People Practicing Open Defecation: Urban: % of Urban Population
LT: 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. LT: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. LT: 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 Lithuania – Table LT.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 Lithuania's Lithuania LT: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Lithuania LT: People Using At Least Basic Drinking Water Services: % of Population
LT: People Using At Least Basic Drinking Water Services: % of Population data was reported at 97.381 % in 2015. This records a decrease from the previous number of 97.382 % for 2014. LT: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 93.971 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.382 % in 2014 and a record low of 90.045 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
97.38 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Lithuania LT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
LT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 92.605 % in 2015. This stayed constant from the previous number of 92.605 % for 2014. LT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 85.437 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 92.605 % in 2015 and a record low of 77.167 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
92.60 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Lithuania LT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
LT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 99.786 % in 2015. This stayed constant from the previous number of 99.786 % for 2014. LT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 98.211 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.786 % in 2015 and a record low of 96.393 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
99.79 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Lithuania LT: People Using At Least Basic Sanitation Services: % of Population
LT: People Using At Least Basic Sanitation Services: % of Population data was reported at 93.622 % in 2015. This records an increase from the previous number of 93.032 % for 2014. LT: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 89.242 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.622 % in 2015 and a record low of 84.870 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
93.62 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Lithuania LT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
LT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 86.037 % in 2015. This records an increase from the previous number of 84.859 % for 2014. LT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 77.200 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 86.037 % in 2015 and a record low of 68.363 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
86.04 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Lithuania LT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
LT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 97.441 % in 2015. This records an increase from the previous number of 97.146 % for 2014. LT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 95.223 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.441 % in 2015 and a record low of 93.005 % in 2000. LT: 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 Lithuania – Table LT.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
Last | Frequency | Range |
---|---|---|
97.44 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Lithuania LT: People Using Safely Managed Drinking Water Services: % of Population
LT: People Using Safely Managed Drinking Water Services: % of Population data was reported at 91.694 % in 2015. This records an increase from the previous number of 90.432 % for 2014. LT: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 79.344 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 91.694 % in 2015 and a record low of 70.772 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
91.69 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Lithuania LT: People Using Safely Managed Sanitation Services: % of Population
LT: People Using Safely Managed Sanitation Services: % of Population data was reported at 61.202 % in 2015. This records an increase from the previous number of 60.877 % for 2014. LT: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 57.904 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 61.202 % in 2015 and a record low of 54.196 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
61.20 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
Lithuania LT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population
LT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population data was reported at 55.413 % in 2015. This records an increase from the previous number of 54.824 % for 2014. LT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 48.864 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 55.413 % in 2015 and a record low of 41.541 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
55.41 2015 | yearly | 2000 - 2015 |
View Lithuania's Lithuania LT: People Using Safely Managed Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Lithuania LT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population
LT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data was reported at 64.121 % in 2015. This records an increase from the previous number of 63.926 % for 2014. LT: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 62.399 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 64.121 % in 2015 and a record low of 60.442 % in 2000. LT: 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 Lithuania – Table LT.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 |
---|---|---|
64.12 2015 | yearly | 2000 - 2015 |