Palau Health Statistics
Palau PW: Births Attended by Skilled Health Staff: % of Total
PW: Births Attended by Skilled Health Staff: % of Total data was reported at 100.000 % in 2016. This stayed constant from the previous number of 100.000 % for 2015. PW: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 100.000 % from Dec 1990 (Median) to 2016, with 16 observations. The data reached an all-time high of 100.000 % in 2016 and a record low of 97.400 % in 2012. PW: 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 Palau – Table PW.World Bank: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 1990 - 2015 |
View Palau's Palau PW: Births Attended by Skilled Health Staff: % of Total from 1990 to 2015 in the chart:
Palau PW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
PW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 22.260 % in 2010. This records an increase from the previous number of 21.000 % for 2007. PW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 21.630 % from Dec 2000 (Median) to 2010, with 4 observations. The data reached an all-time high of 32.800 % in 2003 and a record low of 17.200 % in 2000. PW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 22.26 2010 | yearly | 2000 - 2010 |
View Palau's Palau PW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 2000 to 2010 in the chart:
Palau PW: Current Health Expenditure Per Capita: Current PPP
PW: Current Health Expenditure Per Capita: Current PPP data was reported at 0.002 Intl $ mn in 2015. This records a decrease from the previous number of 0.002 Intl $ mn for 2014. PW: 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 2014 and a record low of 0.001 Intl $ mn in 2001. PW: 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 Palau – Table PW.World Bank: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Palau PW: Current Health Expenditure Per Capita: Current Price
PW: Current Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. PW: 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 2015 and a record low of 0.001 USD mn in 2001. PW: 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 Palau – Table PW.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Palau PW: Current Health Expenditure: % of GDP
PW: Current Health Expenditure: % of GDP data was reported at 10.646 % in 2015. This records a decrease from the previous number of 11.878 % for 2014. PW: Current Health Expenditure: % of GDP data is updated yearly, averaging 9.932 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 11.878 % in 2014 and a record low of 8.142 % in 2001. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 10.65 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Palau PW: Diabetes Prevalence: % of Population Aged 20-79
PW: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 15.890 % in 2017. PW: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 15.890 % from Dec 2017 (Median) to 2017, with 1 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 15.89 2017 | yearly | 2017 - 2017 |
View Palau's Palau PW: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Palau PW: Domestic General Government Health Expenditure Per Capita: Current PPP
PW: Domestic General Government 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. PW: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2014 and a record low of 0.000 Intl $ mn in 2008. PW: 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 Palau – Table PW.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 |
View Palau's Palau PW: Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Palau PW: Domestic General Government Health Expenditure Per Capita: Current Price
PW: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. PW: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2015 and a record low of 0.000 USD mn in 2002. PW: 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 Palau – Table PW.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 |
View Palau's Palau PW: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Palau PW: Domestic General Government Health Expenditure: % of Current Health Expenditure
PW: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 44.055 % in 2015. This records a decrease from the previous number of 44.212 % for 2014. PW: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 40.337 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 48.825 % in 2000 and a record low of 32.340 % in 2008. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 44.06 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Palau PW: Domestic General Government Health Expenditure: % of GDP
PW: Domestic General Government Health Expenditure: % of GDP data was reported at 4.690 % in 2015. This records a decrease from the previous number of 5.252 % for 2014. PW: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 3.936 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 5.393 % in 2013 and a record low of 3.056 % in 2008. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 4.69 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Palau PW: Domestic General Government Health Expenditure: % of General Government Expenditure
PW: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 13.058 % in 2015. This records a decrease from the previous number of 13.077 % for 2014. PW: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 8.419 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 13.424 % in 2013 and a record low of 6.723 % in 2008. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 13.06 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Palau PW: Domestic Private Health Expenditure Per Capita: Current PPP
PW: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. PW: 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 0.000 Intl $ mn in 2010 and a record low of 0.000 Intl $ mn in 2001. PW: 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 Palau – Table PW.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 |
View Palau's Palau PW: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Palau PW: Domestic Private Health Expenditure Per Capita: Current Price
PW: Domestic Private 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. PW: 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 2015 and a record low of 0.000 USD mn in 2001. PW: 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 Palau – Table PW.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 Palau's Palau PW: Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Palau PW: Domestic Private Health Expenditure: % of Current Health Expenditure
PW: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 24.232 % in 2015. This records an increase from the previous number of 23.968 % for 2014. PW: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 25.449 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 31.512 % in 2009 and a record low of 19.597 % in 2000. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 24.23 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Palau PW: External Health Expenditure Per Capita: Current PPP
PW: External 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. PW: 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 0.001 Intl $ mn in 2014 and a record low of 0.000 Intl $ mn in 2001. PW: 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 Palau – Table PW.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 |
View Palau's Palau PW: External Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Palau PW: External Health Expenditure Per Capita: Current Price
PW: 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. PW: 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 2015 and a record low of 0.000 USD mn in 2001. PW: 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 Palau – Table PW.World Bank.WDI: 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 Palau's Palau PW: External Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Palau PW: External Health Expenditure: % of Current Health Expenditure
PW: External Health Expenditure: % of Current Health Expenditure data was reported at 31.713 % in 2015. This records a decrease from the previous number of 31.820 % for 2014. PW: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 32.249 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 39.291 % in 2004 and a record low of 29.153 % in 2013. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 31.71 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: External Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Palau PW: Fertility Rate: Total: Births per Woman
PW: Fertility Rate: Total: Births per Woman data was reported at 2.210 Ratio in 2015. This records a decrease from the previous number of 2.230 Ratio for 2012. PW: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.220 Ratio from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 2.840 Ratio in 1990 and a record low of 1.830 Ratio in 2000. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 2.21 2015 | yearly | 1990 - 2015 |
View Palau's Palau PW: Fertility Rate: Total: Births per Woman from 1990 to 2015 in the chart:
Palau PW: Hospital Beds: per 1000 People
PW: Hospital Beds: per 1000 People data was reported at 4.800 Number in 2010. This records a decrease from the previous number of 4.900 Number for 2009. PW: Hospital Beds: per 1000 People data is updated yearly, averaging 4.900 Number from Dec 1998 (Median) to 2010, with 5 observations. The data reached an all-time high of 5.900 Number in 2006 and a record low of 4.400 Number in 1998. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.80 2010 | yearly | 1998 - 2010 |
View Palau's Palau PW: Hospital Beds: per 1000 People from 1998 to 2010 in the chart:
Palau PW: Immunization: DPT: % of Children Aged 12-23 Months
PW: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 97.000 % in 2017. This records a decrease from the previous number of 98.000 % for 2016. PW: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 96.000 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 99.000 % in 2013 and a record low of 49.000 % in 2009. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 98.00 2016 | yearly | 1986 - 2016 |
View Palau's Palau PW: Immunization: DPT: % of Children Aged 12-23 Months from 1986 to 2016 in the chart:
Palau PW: Immunization: HepB3: % of One-Year-Old Children
PW: Immunization: HepB3: % of One-Year-Old Children data was reported at 98.000 % in 2016. This records an increase from the previous number of 90.000 % for 2015. PW: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 96.000 % from Dec 1991 (Median) to 2016, with 26 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 69.000 % in 2009. PW: 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 Palau – Table PW.World Bank: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 98.00 2016 | yearly | 1991 - 2016 |
View Palau's Palau PW: Immunization: HepB3: % of One-Year-Old Children from 1991 to 2016 in the chart:
Palau PW: Immunization: Measles: % of Children Aged 12-23 Months
PW: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 96.000 % in 2017. This stayed constant from the previous number of 96.000 % for 2016. PW: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 96.000 % from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 99.000 % in 2013 and a record low of 32.000 % in 1993. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 96.00 2016 | yearly | 1986 - 2016 |
View Palau's Palau PW: Immunization: Measles: % of Children Aged 12-23 Months from 1986 to 2016 in the chart:
Palau PW: Incidence of Tuberculosis: per 100,000 People
PW: Incidence of Tuberculosis: per 100,000 People data was reported at 123.000 Ratio in 2016. This records an increase from the previous number of 76.000 Ratio for 2015. PW: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 65.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 123.000 Ratio in 2016 and a record low of 22.000 Ratio in 2012. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 123.00 2016 | yearly | 2000 - 2016 |
View Palau's Palau PW: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Palau PW: Intentional Homicides: per 100,000 People
PW: Intentional Homicides: per 100,000 People data was reported at 3.112 Ratio in 2012. PW: Intentional Homicides: per 100,000 People data is updated yearly, averaging 3.112 Ratio from Dec 2012 (Median) to 2012, with 1 observations. PW: 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 Palau – Table PW.World Bank.WDI: 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 |
|---|---|---|
| 3.10 2012 | yearly | 2012 - 2012 |
View Palau's Palau PW: Intentional Homicides: per 100,000 People from 2012 to 2012 in the chart:
Palau PW: Low-Birthweight Babies: % of Births
PW: Low-Birthweight Babies: % of Births data was reported at 6.900 % in 2010. This records a decrease from the previous number of 9.000 % for 1998. PW: Low-Birthweight Babies: % of Births data is updated yearly, averaging 7.950 % from Dec 1998 (Median) to 2010, with 2 observations. The data reached an all-time high of 9.000 % in 1998 and a record low of 6.900 % in 2010. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 6.90 2010 | yearly | 1998 - 2010 |
View Palau's Palau PW: Low-Birthweight Babies: % of Births from 1998 to 2010 in the chart:
Palau PW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
PW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 0.000 Ratio in 2010. This stayed constant from the previous number of 0.000 Ratio for 1989. PW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 0.000 Ratio from Dec 1989 (Median) to 2010, with 2 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 0.00 2010 | yearly | 1989 - 2010 |
View Palau's Palau PW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1989 to 2010 in the chart:
Palau PW: Mortality Rate: Infant: Female: per 1000 Live Births
PW: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 11.700 Ratio in 2017. This records a decrease from the previous number of 12.400 Ratio for 2015. PW: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 14.600 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 27.600 Ratio in 1990 and a record low of 11.700 Ratio in 2017. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 12.10 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Palau PW: Mortality Rate: Infant: Male: per 1000 Live Births
PW: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 14.700 Ratio in 2017. This records a decrease from the previous number of 15.600 Ratio for 2015. PW: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 18.300 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 34.200 Ratio in 1990 and a record low of 14.700 Ratio in 2017. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 15.20 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Palau PW: Mortality Rate: Infant: per 1000 Live Births
PW: Mortality Rate: Infant: per 1000 Live Births data was reported at 13.200 Ratio in 2017. This records a decrease from the previous number of 13.600 Ratio for 2016. PW: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 22.350 Ratio from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 35.300 Ratio in 1984 and a record low of 13.200 Ratio in 2017. PW: 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 Palau – Table PW.World Bank.WDI: 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 |
|---|---|---|
| 13.70 2016 | yearly | 1984 - 2016 |
View Palau's Palau PW: Mortality Rate: Infant: per 1000 Live Births from 1984 to 2016 in the chart:
Palau PW: Mortality Rate: Neonatal: per 1000 Live Births
PW: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 7.900 Ratio in 2017. This records a decrease from the previous number of 8.200 Ratio for 2016. PW: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 12.800 Ratio from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 19.500 Ratio in 1989 and a record low of 7.900 Ratio in 2017. PW: 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 Palau – Table PW.World Bank.WDI: 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 |
|---|---|---|
| 8.40 2016 | yearly | 1989 - 2016 |
View Palau's Palau PW: Mortality Rate: Neonatal: per 1000 Live Births from 1989 to 2016 in the chart:
Palau PW: Mortality Rate: Under-5: Female: per 1000 Live Births
PW: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 13.600 Ratio in 2017. This records a decrease from the previous number of 14.500 Ratio for 2015. PW: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 17.100 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 32.200 Ratio in 1990 and a record low of 13.600 Ratio in 2017. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 14.10 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Palau PW: Mortality Rate: Under-5: Male: per 1000 Live Births
PW: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 17.000 Ratio in 2017. This records a decrease from the previous number of 18.100 Ratio for 2015. PW: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 21.300 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 39.700 Ratio in 1990 and a record low of 17.000 Ratio in 2017. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 17.60 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Palau PW: Mortality Rate: Under-5: per 1000 Live Births
PW: Mortality Rate: Under-5: per 1000 Live Births data was reported at 15.300 Ratio in 2017. This records a decrease from the previous number of 15.800 Ratio for 2016. PW: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 26.300 Ratio from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 41.800 Ratio in 1984 and a record low of 15.300 Ratio in 2017. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 15.90 2016 | yearly | 1984 - 2016 |
View Palau's Palau PW: Mortality Rate: Under-5: per 1000 Live Births from 1984 to 2016 in the chart:
Palau PW: Number of Death: Infant
PW: Number of Death: Infant data was reported at 4.000 Person in 2017. This stayed constant from the previous number of 4.000 Person for 2016. PW: Number of Death: Infant data is updated yearly, averaging 7.000 Person from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 10.000 Person in 1994 and a record low of 4.000 Person in 2017. PW: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.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 |
|---|---|---|
| 4.00 2016 | yearly | 1985 - 2016 |
View Palau's Palau PW: Number of Death: Infant from 1985 to 2016 in the chart:
Palau PW: Number of Death: Neonatal
PW: Number of Death: Neonatal data was reported at 2.000 Person in 2017. This stayed constant from the previous number of 2.000 Person for 2016. PW: Number of Death: Neonatal data is updated yearly, averaging 4.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 6.000 Person in 1996 and a record low of 2.000 Person in 2017. PW: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.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 |
|---|---|---|
| 3.00 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Number of Death: Neonatal from 1990 to 2016 in the chart:
Palau PW: Number of Death: Under-5
PW: Number of Death: Under-5 data was reported at 5.000 Person in 2017. This stayed constant from the previous number of 5.000 Person for 2016. PW: Number of Death: Under-5 data is updated yearly, averaging 8.000 Person from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 11.000 Person in 1996 and a record low of 5.000 Person in 2017. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 5.00 2016 | yearly | 1989 - 2016 |
View Palau's Palau PW: Number of Death: Under-5 from 1989 to 2016 in the chart:
Palau PW: Number of Deaths Ages 10-14 Years
PW: 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. PW: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 1.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.000 Person in 2011 and a record low of 0.000 Person in 2019. PW: 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 Palau – Table PW.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 Palau's Palau PW: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Palau PW: Number of Deaths Ages 15-19 Years
PW: Number of Deaths Ages 15-19 Years data was reported at 1.000 Person in 2019. This records a decrease from the previous number of 2.000 Person for 2018. PW: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 2.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3.000 Person in 2011 and a record low of 1.000 Person in 2019. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.000 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Palau PW: Number of Deaths Ages 20-24 Years
PW: Number of Deaths Ages 20-24 Years data was reported at 2.000 Person in 2019. This records a decrease from the previous number of 3.000 Person for 2018. PW: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 3.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3.000 Person in 2018 and a record low of 2.000 Person in 2019. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 2.000 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Palau PW: Number of Deaths Ages 5-14 Years
PW: Number of Deaths Ages 5-14 Years data was reported at 1.000 Person in 2016. This stayed constant from the previous number of 1.000 Person for 2015. PW: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 1.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.000 Person in 2000 and a record low of 1.000 Person in 2016. PW: 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 Palau – Table PW.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Palau PW: Number of Deaths Ages 5-9 Years
PW: Number of Deaths Ages 5-9 Years data was reported at 1.000 Person in 2019. This stayed constant from the previous number of 1.000 Person for 2018. PW: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 1.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.000 Person in 2019 and a record low of 1.000 Person in 2019. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.000 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Palau PW: Nurses and Midwives: per 1000 People
PW: Nurses and Midwives: per 1000 People data was reported at 5.261 Ratio in 2014. This records a decrease from the previous number of 5.862 Ratio for 2010. PW: Nurses and Midwives: per 1000 People data is updated yearly, averaging 5.880 Ratio from Dec 1998 (Median) to 2014, with 6 observations. The data reached an all-time high of 6.102 Ratio in 1998 and a record low of 5.261 Ratio in 2014. PW: 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 Palau – Table PW.World Bank.WDI: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.26 2014 | yearly | 1998 - 2014 |
View Palau's Palau PW: Nurses and Midwives: per 1000 People from 1998 to 2014 in the chart:
Palau PW: Out-of-Pocket Health Expenditure Per Capita: Current Price
PW: Out-of-Pocket 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. PW: 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 2015 and a record low of 0.000 USD mn in 2001. PW: 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 Palau – Table PW.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 Palau's Palau PW: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Palau PW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
PW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 21.784 % in 2015. This records an increase from the previous number of 21.602 % for 2014. PW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 16.513 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 21.838 % in 2013 and a record low of 13.423 % in 2004. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 21.78 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Palau PW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
PW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. PW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2010 and a record low of 0.000 Intl $ mn in 2001. PW: 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 Palau – Table PW.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 Palau's Palau PW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Palau PW: People Practicing Open Defecation: % of Population
PW: 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. PW: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. PW: 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 Palau – Table PW.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 Palau's Palau PW: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Palau PW: People Practicing Open Defecation: Rural: % of Rural Population
PW: 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. PW: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. PW: 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 Palau – Table PW.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 Palau's Palau PW: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Palau PW: People Practicing Open Defecation: Urban: % of Urban Population
PW: 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. PW: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. PW: 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 Palau – Table PW.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 Palau's Palau PW: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Palau PW: People Using At Least Basic Drinking Water Services: % of Population
PW: People Using At Least Basic Drinking Water Services: % of Population data was reported at 99.575 % in 2015. This records an increase from the previous number of 99.333 % for 2014. PW: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 96.451 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.575 % in 2015 and a record low of 91.653 % in 2000. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 99.58 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Palau PW: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
PW: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 96.714 % in 2015. This records an increase from the previous number of 95.620 % for 2014. PW: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 88.511 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 96.714 % in 2015 and a record low of 80.308 % in 2000. PW: 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 Palau – Table PW.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 96.71 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Palau PW: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
PW: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 100.000 % in 2015. This records an increase from the previous number of 99.915 % for 2014. PW: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 98.341 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 96.524 % in 2000. PW: 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 Palau – Table PW.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 Palau's Palau PW: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Palau PW: People Using At Least Basic Sanitation Services: % of Population
PW: 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. PW: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 96.525 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 84.679 % in 2000. PW: 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 Palau – Table PW.World Bank.WDI: 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 Palau's Palau PW: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Palau PW: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
PW: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. PW: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 90.978 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 67.026 % in 2000. PW: 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 Palau – Table PW.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 Palau's Palau PW: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Palau PW: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
PW: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. PW: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 97.852 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 92.259 % in 2000. PW: 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 Palau – Table PW.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 Palau's Palau PW: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Palau PW: People Using Safely Managed Sanitation Services: % of Population
PW: People Using Safely Managed Sanitation Services: % of Population data was reported at 19.620 % in 2015. This records a decrease from the previous number of 19.793 % for 2014. PW: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 19.546 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 20.455 % in 2010 and a record low of 16.750 % in 2000. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 19.62 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
Palau PW: People Using Safely Managed Sanitation Services: Urban: % of Urban Population
PW: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data was reported at 16.000 % in 2015. This stayed constant from the previous number of 16.000 % for 2014. PW: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 14.926 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 16.000 % in 2015 and a record low of 12.129 % in 2000. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 16.00 2015 | yearly | 2000 - 2015 |
View Palau's Palau PW: People Using Safely Managed Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Palau PW: Physicians: per 1000 People
PW: Physicians: per 1000 People data was reported at 1.185 Ratio in 2014. This records a decrease from the previous number of 1.417 Ratio for 2010. PW: Physicians: per 1000 People data is updated yearly, averaging 1.410 Ratio from Dec 1998 (Median) to 2014, with 6 observations. The data reached an all-time high of 1.580 Ratio in 2000 and a record low of 1.185 Ratio in 2014. PW: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.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 |
|---|---|---|
| 1.19 2014 | yearly | 1998 - 2014 |
View Palau's Palau PW: Physicians: per 1000 People from 1998 to 2014 in the chart:
Palau PW: Pregnant Women Receiving Prenatal Care
PW: Pregnant Women Receiving Prenatal Care data was reported at 90.300 % in 2011. This stayed constant from the previous number of 90.300 % for 2010. PW: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 100.000 % from Dec 2007 (Median) to 2011, with 5 observations. The data reached an all-time high of 100.000 % in 2009 and a record low of 90.300 % in 2011. PW: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 90.30 2011 | yearly | 2007 - 2011 |
View Palau's Palau PW: Pregnant Women Receiving Prenatal Care from 2007 to 2011 in the chart:
Palau PW: Probability of Dying at Age 10-14 Years: per 1000
PW: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 1.900 Ratio in 2019. This stayed constant from the previous number of 1.900 Ratio for 2018. PW: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 2.500 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3.100 Ratio in 1990 and a record low of 1.900 Ratio in 2019. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 1.900 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Palau PW: Probability of Dying at Age 15-19 Years: per 1000
PW: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 6.500 Ratio in 2019. This records a decrease from the previous number of 6.700 Ratio for 2018. PW: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 7.600 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 9.200 Ratio in 2006 and a record low of 6.000 Ratio in 1990. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 6.500 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Palau PW: Probability of Dying at Age 20-24 Years: per 1000
PW: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 10.100 Ratio in 2019. This records a decrease from the previous number of 10.200 Ratio for 2018. PW: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 10.650 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 11.600 Ratio in 2006 and a record low of 10.000 Ratio in 1995. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 10.100 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Palau PW: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5
PW: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 3.300 Ratio in 2016. This records a decrease from the previous number of 3.400 Ratio for 2015. PW: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 3.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 7.100 Ratio in 1990 and a record low of 3.300 Ratio in 2016. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 3.30 2016 | yearly | 1990 - 2016 |
View Palau's Palau PW: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 from 1990 to 2016 in the chart:
Palau PW: Probability of Dying at Age 5-9 Years: per 1000
PW: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 2.100 Ratio in 2019. This stayed constant from the previous number of 2.100 Ratio for 2018. PW: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 3.000 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3.900 Ratio in 1991 and a record low of 2.100 Ratio in 2019. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 2.100 2019 | yearly | 1990 - 2019 |
View Palau's Palau PW: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Palau PW: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
PW: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 4.300 % in 2014. PW: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 4.300 % from Dec 2014 (Median) to 2014, with 1 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 4.30 2014 | yearly | 2014 - 2014 |
View Palau's Palau PW: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk from 2014 to 2014 in the chart:
Palau PW: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk
PW: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 4.800 % in 2014. PW: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 4.800 % from Dec 2014 (Median) to 2014, with 1 observations. PW: 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 Palau – Table PW.World Bank.WDI: 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 |
|---|---|---|
| 4.80 2014 | yearly | 2014 - 2014 |
View Palau's Palau PW: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk from 2014 to 2014 in the chart:
Palau PW: Smoking Prevalence: Females: % of Adults
PW: Smoking Prevalence: Females: % of Adults data was reported at 7.700 % in 2016. This records a decrease from the previous number of 8.000 % for 2015. PW: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 9.100 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 15.100 % in 2000 and a record low of 7.700 % in 2016. PW: Smoking Prevalence: Females: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Health Statistics. Prevalence of smoking, female is the percentage of women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7.70 2016 | yearly | 2000 - 2016 |
View Palau's Palau PW: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Palau PW: Smoking Prevalence: Males: % of Adults
PW: Smoking Prevalence: Males: % of Adults data was reported at 22.700 % in 2016. This records a decrease from the previous number of 23.500 % for 2015. PW: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 26.400 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 42.600 % in 2000 and a record low of 22.700 % in 2016. PW: Smoking Prevalence: Males: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Health Statistics. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 22.70 2016 | yearly | 2000 - 2016 |
View Palau's Palau PW: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Palau PW: Smoking Prevalence: Total: % of Adults: Aged 15+
PW: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 15.600 % in 2016. This records a decrease from the previous number of 16.100 % for 2015. PW: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 18.200 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 29.600 % in 2000 and a record low of 15.600 % in 2016. PW: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.60 2016 | yearly | 2000 - 2016 |
View Palau's Palau PW: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Palau PW: Tuberculosis Case Detection Rate: All Forms
PW: Tuberculosis Case Detection Rate: All Forms data was reported at 87.000 % in 2016. This stayed constant from the previous number of 87.000 % for 2015. PW: Tuberculosis Case Detection Rate: All Forms data is updated yearly, averaging 87.000 % from Dec 2002 (Median) to 2016, with 14 observations. The data reached an all-time high of 87.000 % in 2016 and a record low of 87.000 % in 2016. PW: Tuberculosis Case Detection Rate: All Forms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank: Health Statistics. Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. 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 |
|---|---|---|
| 87.00 2016 | yearly | 2002 - 2016 |
View Palau's Palau PW: Tuberculosis Case Detection Rate: All Forms from 2002 to 2016 in the chart:
Palau PW: Tuberculosis Treatment Success Rate: % of New Cases
PW: Tuberculosis Treatment Success Rate: % of New Cases data was reported at 86.000 % in 2015. This records an increase from the previous number of 57.000 % for 2014. PW: Tuberculosis Treatment Success Rate: % of New Cases data is updated yearly, averaging 84.000 % from Dec 2001 (Median) to 2015, with 13 observations. The data reached an all-time high of 100.000 % in 2012 and a record low of 38.000 % in 2002. PW: Tuberculosis Treatment Success Rate: % of New Cases data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Health Statistics. Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ('cured' and 'treatment completed' respectively).; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 86.00 2015 | yearly | 2001 - 2015 |
View Palau's Palau PW: Tuberculosis Treatment Success Rate: % of New Cases from 2001 to 2015 in the chart:
Palau PW: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months
PW: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data was reported at 0.000 % in 2013. PW: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data is updated yearly, averaging 0.000 % from Dec 2013 (Median) to 2013, with 1 observations. PW: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Health Statistics. Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least two doses of vitamin A in the previous year.; ; United Nations Children's Fund, State of the World's Children.; Weighted average; Vitamin A is essential for optimal functioning of the immune system. Vitamin A deficiency, a leading cause of blindness, also causes a greater risk of dying from a range of childhood ailments such as measles, malaria, and diarrhea. In low- and middle-income countries, where vitamin A is consumed largely in fruits and vegetables, daily per capita intake is often insufficient to meet dietary requirements. Providing young children with two high-dose vitamin A capsules a year is a safe, cost-effective, efficient strategy for eliminating vitamin A deficiency and improving child survival. Giving vitamin A to new breastfeeding mothers helps protect their children during the first few months of life. Food fortification with vitamin A is being introduced in many developing countries.
| Last | Frequency | Range |
|---|---|---|
| 0.00 2013 | yearly | 2013 - 2013 |