San Marino Health Statistics
San Marino Current Health Expenditure Per Capita: Current PPP
SM: Current Health Expenditure Per Capita: Current PPP data was reported at 0.004 Intl $ mn in 2015. This records a decrease from the previous number of 0.004 Intl $ mn for 2014. SM: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.004 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.004 Intl $ mn in 2012 and a record low of 0.002 Intl $ mn in 2003. SM: 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 San Marino – Table SM.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 |
View San Marino's San Marino Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
San Marino Current Health Expenditure Per Capita: Current Price
SM: Current Health Expenditure Per Capita: Current Price data was reported at 0.003 USD mn in 2015. This records a decrease from the previous number of 0.004 USD mn for 2014. SM: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.004 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.004 USD mn in 2008 and a record low of 0.002 USD mn in 2000. SM: 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 San Marino – Table SM.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 |
View San Marino's San Marino Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
San Marino Current Health Expenditure: % of GDP
SM: Current Health Expenditure: % of GDP data was reported at 6.811 % in 2015. This records a decrease from the previous number of 6.869 % for 2014. SM: Current Health Expenditure: % of GDP data is updated yearly, averaging 5.075 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 7.108 % in 2012 and a record low of 4.060 % in 2005. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 6.81 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
San Marino Diabetes Prevalence: % of Population Aged 20-79
SM: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 5.640 % in 2017. SM: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 5.640 % from Dec 2017 to 2017, with 1 observations. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.64 2017 | yearly | 2017 - 2017 |
View San Marino's San Marino Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
San Marino Domestic General Government Health Expenditure Per Capita: Current PPP
SM: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.003 Intl $ mn in 2015. This records a decrease from the previous number of 0.003 Intl $ mn for 2014. SM: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.003 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.003 Intl $ mn in 2012 and a record low of 0.002 Intl $ mn in 2003. SM: 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 San Marino – Table SM.World Bank.WDI: 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 |
View San Marino's San Marino Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
San Marino Domestic General Government Health Expenditure Per Capita: Current Price
SM: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.003 USD mn in 2015. This records a decrease from the previous number of 0.003 USD mn for 2014. SM: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.003 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.003 USD mn in 2011 and a record low of 0.002 USD mn in 2000. SM: 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 San Marino – Table SM.World Bank.WDI: 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 |
View San Marino's San Marino Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
San Marino Domestic General Government Health Expenditure: % of Current Health Expenditure
SM: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 80.872 % in 2015. This records a decrease from the previous number of 81.031 % for 2014. SM: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 79.423 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 82.333 % in 2012 and a record low of 72.823 % in 2000. SM: 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 San Marino – Table SM.World Bank.WDI: 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 |
|---|---|---|
| 80.87 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
San Marino Domestic General Government Health Expenditure: % of GDP
SM: Domestic General Government Health Expenditure: % of GDP data was reported at 5.508 % in 2015. This records a decrease from the previous number of 5.566 % for 2014. SM: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 3.761 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 5.853 % in 2012 and a record low of 3.044 % in 2005. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.51 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
San Marino Domestic General Government Health Expenditure: % of General Government Expenditure
SM: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 14.308 % in 2015. This stayed constant from the previous number of 14.308 % for 2014. SM: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 11.844 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 14.310 % in 2012 and a record low of 11.844 % in 2008. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.31 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
San Marino Domestic Private Health Expenditure Per Capita: Current PPP
SM: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records a decrease from the previous number of 0.001 Intl $ mn for 2014. SM: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2009 and a record low of 0.001 Intl $ mn in 2003. SM: 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 San Marino – Table SM.World Bank.WDI: 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 |
View San Marino's San Marino Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
San Marino Domestic Private Health Expenditure Per Capita: Current Price
SM: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.001 USD mn for 2014. SM: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2008 and a record low of 0.001 USD mn in 2001. SM: 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 San Marino – Table SM.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 |
View San Marino's San Marino Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
San Marino Domestic Private Health Expenditure: % of Current Health Expenditure
SM: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 19.128 % in 2015. This records an increase from the previous number of 18.969 % for 2014. SM: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 20.577 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 27.177 % in 2000 and a record low of 17.667 % in 2012. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 19.13 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
External Health Expenditure Per Capita: Current PPP
SM: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2018. This stayed constant from the previous number of 0.000 Intl $ mn for 2017. SM: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2018, with 19 observations. The data reached an all-time high of 0.000 Intl $ mn in 2018 and a record low of 0.000 Intl $ mn in 2018. SM: 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 San Marino – Table SM.World Bank.WDI: Social: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity. 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). The data was retrieved on April 7, 2023.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2018 | yearly | 2000 - 2018 |
View San Marino's External Health Expenditure Per Capita: Current PPP from 2000 to 2018 in the chart:
External Health Expenditure Per Capita: Current Price
SM: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2018. This stayed constant from the previous number of 0.000 USD mn for 2017. SM: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2018, with 19 observations. The data reached an all-time high of 0.000 USD mn in 2018 and a record low of 0.000 USD mn in 2018. SM: 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 San Marino – Table SM.World Bank.WDI: Social: 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). The data was retrieved on April 7, 2023.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2018 | yearly | 2000 - 2018 |
View San Marino's External Health Expenditure Per Capita: Current Price from 2000 to 2018 in the chart:
External Health Expenditure: % of Current Health Expenditure
SM: External Health Expenditure: % of Current Health Expenditure data was reported at 0.000 % in 2018. This stayed constant from the previous number of 0.000 % for 2017. SM: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.000 % from Dec 2000 to 2018, with 19 observations. The data reached an all-time high of 0.000 % in 2018 and a record low of 0.000 % in 2018. SM: 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 San Marino – Table SM.World Bank.WDI: Social: 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). The data was retrieved on April 7, 2023.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2018 | yearly | 2000 - 2018 |
View San Marino's External Health Expenditure: % of Current Health Expenditure from 2000 to 2018 in the chart:
San Marino Fertility Rate: Total: Births per Woman
SM: Fertility Rate: Total: Births per Woman data was reported at 1.260 Ratio in 2012. SM: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.260 Ratio from Dec 2012 to 2012, with 1 observations. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 1.26 2012 | yearly | 2012 - 2012 |
View San Marino's San Marino Fertility Rate: Total: Births per Woman from 2012 to 2012 in the chart:
San Marino Hospital Beds: per 1000 People
SM: Hospital Beds: per 1000 People data was reported at 3.800 Number in 2012. This records a decrease from the previous number of 3.850 Number for 2011. SM: Hospital Beds: per 1000 People data is updated yearly, averaging 6.734 Number from Dec 1980 to 2012, with 10 observations. The data reached an all-time high of 7.657 Number in 1988 and a record low of 3.800 Number in 2012. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 3.80 2012 | yearly | 1980 - 2012 |
View San Marino's San Marino Hospital Beds: per 1000 People from 1980 to 2012 in the chart:
San Marino Immunization: DPT: % of Children Aged 12-23 Months
SM: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 86.000 % in 2017. This stayed constant from the previous number of 86.000 % for 2016. SM: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 95.500 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 99.000 % in 1999 and a record low of 84.000 % in 2014. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 66.00 2016 | yearly | 1983 - 2016 |
View San Marino's San Marino Immunization: DPT: % of Children Aged 12-23 Months from 1983 to 2016 in the chart:
San Marino Immunization: HepB3: % of One-Year-Old Children
SM: Immunization: HepB3: % of One-Year-Old Children data was reported at 66.000 % in 2016. This records a decrease from the previous number of 75.000 % for 2015. SM: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 95.000 % from Dec 1991 to 2016, with 25 observations. The data reached an all-time high of 99.000 % in 1992 and a record low of 66.000 % in 2016. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 66.00 2016 | yearly | 1991 - 2016 |
View San Marino's San Marino Immunization: HepB3: % of One-Year-Old Children from 1991 to 2016 in the chart:
San Marino Immunization: Measles: % of Children Aged 12-23 Months
SM: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 82.000 % in 2017. This stayed constant from the previous number of 82.000 % for 2016. SM: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 94.000 % from Dec 1991 to 2017, with 27 observations. The data reached an all-time high of 99.000 % in 2000 and a record low of 81.000 % in 2014. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 62.00 2016 | yearly | 1991 - 2016 |
View San Marino's San Marino Immunization: Measles: % of Children Aged 12-23 Months from 1991 to 2016 in the chart:
San Marino Incidence of Tuberculosis: per 100,000 People
SM: Incidence of Tuberculosis: per 100,000 People data was reported at 0.000 Ratio in 2016. This stayed constant from the previous number of 0.000 Ratio for 2015. SM: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 0.000 Ratio from Dec 2000 to 2016, with 17 observations. The data reached an all-time high of 4.200 Ratio in 2000 and a record low of 0.000 Ratio in 2016. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 0.00 2016 | yearly | 2000 - 2016 |
View San Marino's San Marino Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
San Marino Intentional Homicides: Female: per 100,000 Female
SM: Intentional Homicides: Female: per 100,000 Female data was reported at 0.000 Ratio in 2011. This stayed constant from the previous number of 0.000 Ratio for 2010. SM: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.000 Ratio from Dec 1995 to 2011, with 16 observations. The data reached an all-time high of 0.000 Ratio in 2011 and a record low of 0.000 Ratio in 2011. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2011 | yearly | 1995 - 2011 |
View San Marino's San Marino Intentional Homicides: Female: per 100,000 Female from 1995 to 2011 in the chart:
San Marino Intentional Homicides: Male: per 100,000 Male
SM: Intentional Homicides: Male: per 100,000 Male data was reported at 0.000 Ratio in 2011. This stayed constant from the previous number of 0.000 Ratio for 2010. SM: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 0.000 Ratio from Dec 1995 to 2011, with 17 observations. The data reached an all-time high of 0.000 Ratio in 2011 and a record low of 0.000 Ratio in 2011. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.000 2011 | yearly | 1995 - 2011 |
View San Marino's San Marino Intentional Homicides: Male: per 100,000 Male from 1995 to 2011 in the chart:
San Marino Intentional Homicides: per 100,000 People
SM: Intentional Homicides: per 100,000 People data was reported at 0.000 Ratio in 2011. This stayed constant from the previous number of 0.000 Ratio for 2010. SM: Intentional Homicides: per 100,000 People data is updated yearly, averaging 0.000 Ratio from Dec 2001 to 2011, with 11 observations. The data reached an all-time high of 3.600 Ratio in 2002 and a record low of 0.000 Ratio in 2011. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2011 | yearly | 2001 - 2011 |
View San Marino's San Marino Intentional Homicides: per 100,000 People from 2001 to 2011 in the chart:
San Marino Life Expectancy at Birth: Female
SM: Life Expectancy at Birth: Female data was reported at 86.800 Year in 2012. SM: Life Expectancy at Birth: Female data is updated yearly, averaging 86.800 Year from Dec 2012 to 2012, with 1 observations. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 86.80 2012 | yearly | 2012 - 2012 |
View San Marino's San Marino Life Expectancy at Birth: Female from 2012 to 2012 in the chart:
San Marino Life Expectancy at Birth: Male
SM: Life Expectancy at Birth: Male data was reported at 84.100 Year in 2012. SM: Life Expectancy at Birth: Male data is updated yearly, averaging 84.100 Year from Dec 2012 to 2012, with 1 observations. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 84.10 2012 | yearly | 2012 - 2012 |
View San Marino's San Marino Life Expectancy at Birth: Male from 2012 to 2012 in the chart:
San Marino Life Expectancy at Birth: Total
SM: Life Expectancy at Birth: Total data was reported at 85.417 Year in 2012. SM: Life Expectancy at Birth: Total data is updated yearly, averaging 85.417 Year from Dec 2012 to 2012, with 1 observations. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 85.42 2012 | yearly | 2012 - 2012 |
View San Marino's San Marino Life Expectancy at Birth: Total from 2012 to 2012 in the chart:
San Marino Low-Birthweight Babies: % of Births
SM: Low-Birthweight Babies: % of Births data was reported at 10.000 % in 2011. SM: Low-Birthweight Babies: % of Births data is updated yearly, averaging 10.000 % from Dec 2011 to 2011, with 1 observations. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 10.00 2011 | yearly | 2011 - 2011 |
View San Marino's San Marino Low-Birthweight Babies: % of Births from 2011 to 2011 in the chart:
San Marino Mortality Rate: Infant: Female: per 1000 Live Births
SM: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.300 Ratio in 2016. This stayed constant from the previous number of 2.300 Ratio for 2015. SM: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 2.800 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 8.600 Ratio in 1990 and a record low of 2.300 Ratio in 2016. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 2.30 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
San Marino Mortality Rate: Infant: Male: per 1000 Live Births
SM: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 2.700 Ratio in 2016. This records a decrease from the previous number of 2.800 Ratio for 2015. SM: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 3.300 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 10.700 Ratio in 1990 and a record low of 2.700 Ratio in 2016. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 2.70 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
San Marino Mortality Rate: Infant: per 1000 Live Births
SM: Mortality Rate: Infant: per 1000 Live Births data was reported at 2.500 Ratio in 2016. This records a decrease from the previous number of 2.600 Ratio for 2015. SM: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 4.750 Ratio from Dec 1985 to 2016, with 32 observations. The data reached an all-time high of 13.700 Ratio in 1985 and a record low of 2.500 Ratio in 2016. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 1985 - 2016 |
View San Marino's San Marino Mortality Rate: Infant: per 1000 Live Births from 1985 to 2016 in the chart:
San Marino Mortality Rate: Neonatal: per 1000 Live Births
SM: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 0.600 Ratio in 2016. This records a decrease from the previous number of 0.700 Ratio for 2015. SM: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 1.100 Ratio from Dec 1989 to 2016, with 28 observations. The data reached an all-time high of 8.100 Ratio in 1989 and a record low of 0.600 Ratio in 2016. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.
| Last | Frequency | Range |
|---|---|---|
| 0.60 2016 | yearly | 1989 - 2016 |
View San Marino's San Marino Mortality Rate: Neonatal: per 1000 Live Births from 1989 to 2016 in the chart:
San Marino Mortality Rate: Under-5: Female: per 1000 Live Births
SM: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 2.500 Ratio in 2016. This records a decrease from the previous number of 2.600 Ratio for 2015. SM: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 3.100 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 9.700 Ratio in 1990 and a record low of 2.500 Ratio in 2016. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
San Marino Mortality Rate: Under-5: Male: per 1000 Live Births
SM: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 3.000 Ratio in 2016. This records a decrease from the previous number of 3.100 Ratio for 2015. SM: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 3.700 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 12.000 Ratio in 1990 and a record low of 3.000 Ratio in 2016. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 3.00 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
San Marino Mortality Rate: Under-5: per 1000 Live Births
SM: Mortality Rate: Under-5: per 1000 Live Births data was reported at 2.800 Ratio in 2016. This records a decrease from the previous number of 2.900 Ratio for 2015. SM: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 5.350 Ratio from Dec 1985 to 2016, with 32 observations. The data reached an all-time high of 15.300 Ratio in 1985 and a record low of 2.800 Ratio in 2016. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 2.80 2016 | yearly | 1985 - 2016 |
View San Marino's San Marino Mortality Rate: Under-5: per 1000 Live Births from 1985 to 2016 in the chart:
San Marino Number of Death: Infant
SM: Number of Death: Infant data was reported at 1.000 Person in 2017. This stayed constant from the previous number of 1.000 Person for 2016. SM: Number of Death: Infant data is updated yearly, averaging 1.000 Person from Dec 1985 to 2017, with 33 observations. The data reached an all-time high of 3.000 Person in 1991 and a record low of 1.000 Person in 2017. SM: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.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 |
|---|---|---|
| 1.00 2016 | yearly | 1986 - 2016 |
View San Marino's San Marino Number of Death: Infant from 1986 to 2016 in the chart:
San Marino Number of Death: Neonatal
SM: Number of Death: Neonatal data was reported at 0.000 Person in 2017. This stayed constant from the previous number of 0.000 Person for 2016. SM: Number of Death: Neonatal data is updated yearly, averaging 1.000 Person from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 1.000 Person in 2007 and a record low of 0.000 Person in 2017. SM: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. Number of neonates dying before reaching 28 days of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Number of Death: Neonatal from 1990 to 2016 in the chart:
San Marino Number of Death: Under-5
SM: Number of Death: Under-5 data was reported at 1.000 Person in 2017. This stayed constant from the previous number of 1.000 Person for 2016. SM: Number of Death: Under-5 data is updated yearly, averaging 1.000 Person from Dec 1989 to 2017, with 29 observations. The data reached an all-time high of 3.000 Person in 1993 and a record low of 1.000 Person in 2017. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Number of Death: Under-5 from 1990 to 2016 in the chart:
San Marino Number of Deaths Ages 10-14 Years
SM: Number of Deaths Ages 10-14 Years data was reported at 0.000 Person in 2019. This stayed constant from the previous number of 0.000 Person for 2018. SM: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 0.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 0.000 Person in 2019 and a record low of 0.000 Person in 2019. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 0.000 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
San Marino Number of Deaths Ages 15-19 Years
SM: Number of Deaths Ages 15-19 Years data was reported at 0.000 Person in 2019. This stayed constant from the previous number of 0.000 Person for 2018. SM: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 0.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1.000 Person in 2003 and a record low of 0.000 Person in 2019. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 0.000 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
San Marino Number of Deaths Ages 20-24 Years
SM: Number of Deaths Ages 20-24 Years data was reported at 0.000 Person in 2019. This records a decrease from the previous number of 1.000 Person for 2018. SM: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 1.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 2.000 Person in 1993 and a record low of 0.000 Person in 2019. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 0.000 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
San Marino Number of Deaths Ages 5-14 Years
SM: Number of Deaths Ages 5-14 Years data was reported at 0.000 Person in 2016. This stayed constant from the previous number of 0.000 Person for 2015. SM: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 0.000 Person from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 1.000 Person in 1990 and a record low of 0.000 Person in 2016. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 0.00 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
San Marino Number of Deaths Ages 5-9 Years
SM: Number of Deaths Ages 5-9 Years data was reported at 0.000 Person in 2019. This stayed constant from the previous number of 0.000 Person for 2018. SM: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 0.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 0.000 Person in 2019 and a record low of 0.000 Person in 2019. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 0.000 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
San Marino Number of Surgical Procedures: per 100,000 population
SM: Number of Surgical Procedures: per 100,000 population data was reported at 5,145.000 Number in 2015. SM: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 5,145.000 Number from Dec 2015 to 2015, with 1 observations. SM: Number of Surgical Procedures: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.; ; The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5,145.00 2015 | yearly | 2015 - 2015 |
View San Marino's San Marino Number of Surgical Procedures: per 100,000 population from 2015 to 2015 in the chart:
San Marino Nurses and Midwives: per 1000 People
SM: Nurses and Midwives: per 1000 People data was reported at 9.085 Ratio in 2014. This records a decrease from the previous number of 9.493 Ratio for 2013. SM: Nurses and Midwives: per 1000 People data is updated yearly, averaging 9.289 Ratio from Dec 2011 to 2014, with 4 observations. The data reached an all-time high of 9.560 Ratio in 2012 and a record low of 8.985 Ratio in 2011. SM: 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 San Marino – Table SM.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.09 2014 | yearly | 2011 - 2014 |
View San Marino's San Marino Nurses and Midwives: per 1000 People from 2011 to 2014 in the chart:
San Marino Out-of-Pocket Health Expenditure Per Capita: Current Price
SM: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.001 USD mn for 2014. SM: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2008 and a record low of 0.001 USD mn in 2001. SM: 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 San Marino – Table SM.World Bank.WDI: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
San Marino Out-of-Pocket Health Expenditure: % of Current Health Expenditure
SM: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 18.329 % in 2015. This records an increase from the previous number of 18.176 % for 2014. SM: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 19.662 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 26.302 % in 2000 and a record low of 16.916 % in 2012. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 18.33 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
San Marino Out-of-Pocket Helath Expenditure Per Capita: Current PPP
SM: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records a decrease from the previous number of 0.001 Intl $ mn for 2014. SM: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2009 and a record low of 0.001 Intl $ mn in 2005. SM: 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 San Marino – Table SM.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 San Marino's San Marino Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
San Marino People Practicing Open Defecation: % of Population
SM: 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. SM: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 to 2015, with 16 observations. SM: 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 San Marino – Table SM.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 San Marino's San Marino People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
San Marino People Using At Least Basic Drinking Water Services: % of Population
SM: People Using At Least Basic Drinking Water Services: % of Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. SM: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 100.000 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. SM: 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 San Marino – Table SM.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
San Marino People Using At Least Basic Sanitation Services: % of Population
SM: People Using At Least Basic Sanitation Services: % of Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. SM: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 100.000 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. SM: 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 San Marino – Table SM.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
San Marino People Using Safely Managed Drinking Water Services: % of Population
SM: People Using Safely Managed Drinking Water Services: % of Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. SM: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 100.000 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
San Marino People Using Safely Managed Sanitation Services: % of Population
SM: People Using Safely Managed Sanitation Services: % of Population data was reported at 77.871 % in 2015. This stayed constant from the previous number of 77.871 % for 2014. SM: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 77.871 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 77.871 % in 2015 and a record low of 77.871 % in 2015. SM: 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 San Marino – Table SM.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 |
|---|---|---|
| 77.87 2015 | yearly | 2000 - 2015 |
View San Marino's San Marino People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
San Marino Physicians: per 1000 People
SM: Physicians: per 1000 People data was reported at 6.363 Ratio in 2014. This records an increase from the previous number of 5.225 Ratio for 2013. SM: Physicians: per 1000 People data is updated yearly, averaging 2.411 Ratio from Dec 1980 to 2014, with 14 observations. The data reached an all-time high of 6.363 Ratio in 2014 and a record low of 2.060 Ratio in 1980. SM: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.36 2014 | yearly | 1980 - 2014 |
View San Marino's San Marino Physicians: per 1000 People from 1980 to 2014 in the chart:
San Marino Probability of Dying at Age 10-14 Years: per 1000
SM: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 0.300 Ratio in 2019. This stayed constant from the previous number of 0.300 Ratio for 2018. SM: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 0.600 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1.400 Ratio in 1990 and a record low of 0.300 Ratio in 2019. SM: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 0.300 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
San Marino Probability of Dying at Age 15-19 Years: per 1000
SM: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 0.900 Ratio in 2019. This records a decrease from the previous number of 1.000 Ratio for 2018. SM: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 1.700 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 3.700 Ratio in 1990 and a record low of 0.900 Ratio in 2019. SM: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 0.900 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
San Marino Probability of Dying at Age 20-24 Years: per 1000
SM: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 1.400 Ratio in 2019. This stayed constant from the previous number of 1.400 Ratio for 2018. SM: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 2.550 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 5.500 Ratio in 1990 and a record low of 1.400 Ratio in 2019. SM: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.400 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
San Marino Probability of Dying at Age 5-14 Years: per 1000 Children Age 5
SM: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 0.900 Ratio in 2016. This stayed constant from the previous number of 0.900 Ratio for 2015. SM: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 1.000 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 2.100 Ratio in 1990 and a record low of 0.900 Ratio in 2016. SM: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Health Statistics. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.90 2016 | yearly | 1990 - 2016 |
View San Marino's San Marino Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 from 1990 to 2016 in the chart:
San Marino Probability of Dying at Age 5-9 Years: per 1000
SM: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 0.200 Ratio in 2019. This stayed constant from the previous number of 0.200 Ratio for 2018. SM: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 0.500 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1.500 Ratio in 1990 and a record low of 0.200 Ratio in 2019. SM: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 0.200 2019 | yearly | 1990 - 2019 |
View San Marino's San Marino Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
San Marino Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
SM: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 0.500 % in 2014. SM: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 0.500 % from Dec 2014 to 2014, with 1 observations. SM: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Health Statistics. The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.; ; The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/); Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.50 2014 | yearly | 2014 - 2014 |
View San Marino's San Marino Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk from 2014 to 2014 in the chart:
San Marino Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk
SM: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 0.000 % in 2014. SM: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 0.000 % from Dec 2014 to 2014, with 1 observations. SM: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Health Statistics. The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $1.25 PPP/day).; ; The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/); Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2014 | yearly | 2014 - 2014 |
View San Marino's San Marino Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk from 2014 to 2014 in the chart:
San Marino Specialist Surgical Workforce: per 100,000 population
SM: Specialist Surgical Workforce: per 100,000 population data was reported at 112.500 Number in 2014. SM: Specialist Surgical Workforce: per 100,000 population data is updated yearly, averaging 112.500 Number from Dec 2014 to 2014, with 1 observations. SM: Specialist Surgical Workforce: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank: Health Statistics. Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.; ; The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 112.50 2014 | yearly | 2014 - 2014 |