Korea Death Rate: Crude: per 1000 People data was reported at 5.500 Ratio in 2016. This records an increase from the previous number of 5.400 Ratio for 2015. Korea Death Rate: Crude: per 1000 People data is updated yearly, averaging 5.600 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 13.991 Ratio in 1960 and a record low of 5.000 Ratio in 2009. Korea Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (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;

Korea Mortality Rate: Infant: per 1000 Live Births data was reported at 2.900 Ratio in 2016. This records a decrease from the previous number of 3.000 Ratio for 2015. Korea Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 15.900 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 81.400 Ratio in 1960 and a record low of 2.900 Ratio in 2016. Korea 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 Korea – Table KR.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Korea Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.700 Ratio in 2016. This records a decrease from the previous number of 2.800 Ratio for 2015. Korea Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 3.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 12.400 Ratio in 1990 and a record low of 2.700 Ratio in 2016. Korea 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 Korea – Table KR.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Korea Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 3.100 Ratio in 2016. This records a decrease from the previous number of 3.200 Ratio for 2015. Korea Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 3.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.400 Ratio in 1990 and a record low of 3.100 Ratio in 2016. Korea 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 Korea – Table KR.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

BackgroundStroke survivors often take multiple medications (polypharmacy), raising concerns about falls and mortality in older adults. This study investigated whether Korean Medicine (KM)—primarily acupuncture—is associated with fall risk and mortality among older adults with stroke and polypharmacy.MethodsA population-based retrospective cohort study using South Korea’s National Health Insurance Service (NHIS) claims database. Adults aged 65 or older with a first stroke in 2015 were included if they had five or more prescribed medications (polypharmacy) or ten or more (hyper-polypharmacy) for at least 270 days. KM users received acupuncture or electroacupuncture (≥3 outpatient visits or ≥1 inpatient stay) within a year of stroke onset. The primary outcome was falls resulting in fracture; the secondary outcome was all-cause mortality—both assessed over 3 years. Propensity score matching balanced demographics, comorbidities, and medication use. Cox proportional hazards and subgroup analyses were conducted. Subgroup and sensitivity analyses explored effect modification.ResultsAmong 25,034 older stroke patients, 10,011 had polypharmacy; of those, 6,809 used KM. After matching, 3,127 KM users were compared with 3,127 non-users. KM users with polypharmacy had a higher rate of falls but lower all-cause mortality than non-users. In hyper-polypharmacy, KM use did not significantly affect falls but was associated with lower mortality. Sensitivity analyses of the unmatched cohort, alternative outcome definitions, and interactions yielded consistent patterns.ConclusionIn older adults with stroke and polypharmacy, KM may improve functional recovery and mobility, potentially increasing falls if balance training is inadequate, yet simultaneously confer survival advantages—perhaps through neuro-immune or systemic effects—irrespective of medication load. Among the more frail hyper-polypharmacy group, KM reduced mortality without altering falls, suggesting that functional gains and competing-risk dynamics differ by medication intensity. Prospective studies with granular functional measures, drug–drug interaction data, and formal competing-risk models are needed to optimize the safe integration of KM into comprehensive stroke care.

Objective Gains in life expectancy have faltered in several high-income countries in recent years. We aim to compare life expectancy trends in Scotland to those seen internationally, and to assess the timing of any recent changes in mortality trends for Scotland. Setting Austria, Croatia, Czech Republic, Denmark, England & Wales, Estonia, France, Germany, Hungary, Iceland, Israel, Japan, Korea, Latvia, Lithuania, Netherlands, Northern Ireland, Poland, Scotland, Slovakia, Spain, Sweden, Switzerland, USA. Methods We used life expectancy data from the Human Mortality Database (HMD) to calculate the mean annual life expectancy change for 24 high-income countries over five-year periods from 1992 to 2016, and the change for Scotland for five-year periods from 1857 to 2016. One- and two-break segmented regression models were applied to mortality data from National Records of Scotland (NRS) to identify turning points in age-standardised mortality trends between 1990 and 2018. Results In 2012-2016 life expectancies in Scotland increased by 2.5 weeks/year for females and 4.5 weeks/year for males, the smallest gains of any period since the early 1970s. The improvements in life expectancy in 2012-2016 were smallest among females (<2.0 weeks/year) in Northern Ireland, Iceland, England & Wales and the USA and among males (<5.0 weeks/year) in Iceland, USA, England & Wales and Scotland. Japan, Korea, and countries of Eastern Europe have seen substantial gains in the same period. The best estimate of when mortality rates changed to a slower rate of improvement in Scotland was the year to 2012 Q4 for males and the year to 2014 Q2 for females. Conclusion Life expectancy improvement has stalled across many, but not all, high income countries. The recent change in the mortality trend in Scotland occurred within the period 2012-2014. Further research is required to understand these trends, but governments must also take timely action on plausible contributors. Methods Description of methods used for collection/generation of data: The HMD has a detailed methods protocol available here: https://www.mortality.org/Public/Docs/MethodsProtocol.pdf The ONS and NRS also have similar methods for ensuring data consistency and quality assurance.

Methods for processing the data: The segmented regression was conducted using the 'segmented' package in R. The recommended references to this package and its approach are here: Vito M. R. Muggeo (2003). Estimating regression models with unknown break-points. Statistics in Medicine, 22, 3055-3071.

Vito M. R. Muggeo (2008). segmented: an R Package to Fit Regression Models with Broken-Line Relationships. R News, 8/1, 20-25. URL https://cran.r-project.org/doc/Rnews/.

Vito M. R. Muggeo (2016). Testing with a nuisance parameter present only under the alternative: a score-based approach with application to segmented modelling. J of Statistical Computation and Simulation, 86, 3059-3067.

Vito M. R. Muggeo (2017). Interval estimation for the breakpoint in segmented regression: a smoothed score-based approach. Australian & New Zealand Journal of Statistics, 59, 311-322.

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: The analyses were conducted in R version 3.6.1 and Microsoft Excel 2013.

Please see README.txt for further information

BackgroundThe interaction between COVID-19 and tuberculosis (TB) is not yet fully understood, and large-scale research on the mortality outcome of such dual infection has been limited. This study aimed to investigate the impact of PTB on mortality among patients with COVID-19 within a Korean population by conducting an extensive analysis of a nationwide large dataset.MethodWe investigated the mortality and disease severity among COVID-19 patients who had PTB in South Korea. This study analyzed 462,444 out of 566,494 COVID-19 patients identified between January 2020 and December 2021.ResultA total of 203 COVID-19 with PTB patients and 812 matched COVID-19 without PTB were analyzed using 1:4 propensity score matching. COVID-19 patients with PTB exhibited higher in-hospital mortality (odds ratio (OR) 3.02, 95% confidence interval (CI) 1.45–6.27, p-value = 0.003) and were at increased risk of requiring conventional oxygen therapy (OR 1.57, 95% CI 1.10–2.25, p-value = 0.013) as well as high flow nasal cannula (HFNC) or noninvasive ventilation (NIV) oxygen therapy (OR 1.91, 95 CI 1.10–3.32, p-value = 0.022) compared to those without PTB. Compared to matched COVID-19 without PTB, co-infected patients showed increased mortality rates across various timeframes, including during hospitalization, and at 30 day and 90 day intervals. In-hospital mortality rates were particularly elevated among women, individuals with malignancy, and those with lower incomes. Furthermore, the increased in-hospital mortality among PTB patients persisted irrespective of the timing of TB diagnosis or vaccination status against COVID-19.ConclusionWe suggest that physicians be aware of the risk of mortality and severity among COVID-19 patients with PTB; coinfection with COVID-19 is a critical situation that remains to be further explored and needs more attention in countries with an intermediate to high PTB burden.

BackgroundGastric cancer remains a significant health burden, particularly in East Asia, where high salt intake is a major risk factor. This study assesses the gastric cancer burden attributable to high salt intake in China, Japan, and South Korea.MethodsWe analyzed data from the GBD 2021 database, including age-standardized mortality rates (ASMR), age-standardized DALY rates (ASDR), and population attributable fraction (PAF) related to high salt intake. The study focused on individuals aged 25 and above, covering global, Chinese, Japanese, and South Korean populations, with trends from 1990 to 2021 and projections through 2042.ResultsFrom 1990 to 2021, the gastric cancer burden attributable to high salt intake significantly decreased globally and in China, Japan, and South Korea. Globally, ASMR decreased from 1.74 per 100,000 in 1990 to 0.89 per 100,000 in 2021 (EAPC = −2.26). In China, ASMR decreased from 3.85 per 100,000 in 1990 to 1.78 per 100,000 in 2021 (EAPC = −2.56), with similar declines in Japan and South Korea. Gender disparities remain, with men bearing a significantly higher gastric cancer burden, especially among the elderly.ConclusionWhile high salt intake’s contribution to gastric cancer decreased from 1990 to 2021, it remains a major factor in mortality and DALYs, particularly among elderly and male populations. However, these findings should be interpreted with caution due to reliance on modeled population-level data and the inability to establish causality from observational sources.

North Korea KP: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 15.700 Ratio in 2017. This records a decrease from the previous number of 17.400 Ratio for 2015. North Korea KP: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 25.000 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 48.000 Ratio in 2000 and a record low of 15.700 Ratio in 2017. North Korea KP: 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 North Korea – Table KP.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

IntroductionPremature mortality refers to deaths that occur before the expected age of death in a given population. Years of life lost (YLL) is a standard parameter that is frequently used to quantify some component of an "avoidable" mortality burden.ObjectiveTo identify the studies on premature cardiovascular disease (CVD) mortality and synthesise their findings on YLL based on the regional area, main CVD types, sex, and study time.MethodWe conducted a systematic review of published CVD mortality studies that reported YLL as an indicator for premature mortality measurement. A literature search for eligible studies was conducted in five electronic databases: PubMed, Scopus, Web of Science (WoS), and the Cochrane Central Register of Controlled Trials (CENTRAL). The Newcastle-Ottawa Scale was used to assess the quality of the included studies. The synthesis of YLL was grouped into years of potential life lost (YPLL) and standard expected years of life lost (SEYLL) using descriptive analysis. These subgroups were further divided into WHO (World Health Organization) regions, study time, CVD type, and sex to reduce the effect of heterogeneity between studies.ResultsForty studies met the inclusion criteria for this review. Of these, 17 studies reported premature CVD mortality using YPLL, and the remaining 23 studies calculated SEYLL. The selected studies represent all WHO regions except for the Eastern Mediterranean. The overall median YPLL and SEYLL rates per 100,000 population were 594.2 and 1357.0, respectively. The YPLL rate and SEYLL rate demonstrated low levels in high-income countries, including Switzerland, Belgium, Spain, Slovenia, the USA, and South Korea, and a high rate in middle-income countries (including Brazil, India, South Africa, and Serbia). Over the past three decades (1990–2022), there has been a slight increase in the YPLL rate and the SEYLL rate for overall CVD and ischemic heart disease but a slight decrease in the SEYLL rate for cerebrovascular disease. The SEYLL rate for overall CVD demonstrated a notable increase in the Western Pacific region, while the European region has experienced a decline and the American region has nearly reached a plateau. In regard to sex, the male showed a higher median YPLL rate and median SEYLL rate than the female, where the rate in males substantially increased after three decades.ConclusionEstimates from both the YPLL and SEYLL indicators indicate that premature CVD mortality continues to be a major burden for middle-income countries. The pattern of the YLL rate does not appear to have lessened over the past three decades, particularly for men. It is vitally necessary to develop and execute strategies and activities to lessen this mortality gap.Systematic review registrationPROSPERO CRD42021288415

South Korea Suicide Mortality Rate: Male data was reported at 38.400 NA in 2016. This records a decrease from the previous number of 39.900 NA for 2015. South Korea Suicide Mortality Rate: Male data is updated yearly, averaging 38.400 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 45.100 NA in 2010 and a record low of 20.300 NA in 2000. South Korea Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

IntroductionPremature mortality refers to deaths that occur before the expected age of death in a given population. Years of life lost (YLL) is a standard parameter that is frequently used to quantify some component of an "avoidable" mortality burden.ObjectiveTo identify the studies on premature cardiovascular disease (CVD) mortality and synthesise their findings on YLL based on the regional area, main CVD types, sex, and study time.MethodWe conducted a systematic review of published CVD mortality studies that reported YLL as an indicator for premature mortality measurement. A literature search for eligible studies was conducted in five electronic databases: PubMed, Scopus, Web of Science (WoS), and the Cochrane Central Register of Controlled Trials (CENTRAL). The Newcastle-Ottawa Scale was used to assess the quality of the included studies. The synthesis of YLL was grouped into years of potential life lost (YPLL) and standard expected years of life lost (SEYLL) using descriptive analysis. These subgroups were further divided into WHO (World Health Organization) regions, study time, CVD type, and sex to reduce the effect of heterogeneity between studies.ResultsForty studies met the inclusion criteria for this review. Of these, 17 studies reported premature CVD mortality using YPLL, and the remaining 23 studies calculated SEYLL. The selected studies represent all WHO regions except for the Eastern Mediterranean. The overall median YPLL and SEYLL rates per 100,000 population were 594.2 and 1357.0, respectively. The YPLL rate and SEYLL rate demonstrated low levels in high-income countries, including Switzerland, Belgium, Spain, Slovenia, the USA, and South Korea, and a high rate in middle-income countries (including Brazil, India, South Africa, and Serbia). Over the past three decades (1990–2022), there has been a slight increase in the YPLL rate and the SEYLL rate for overall CVD and ischemic heart disease but a slight decrease in the SEYLL rate for cerebrovascular disease. The SEYLL rate for overall CVD demonstrated a notable increase in the Western Pacific region, while the European region has experienced a decline and the American region has nearly reached a plateau. In regard to sex, the male showed a higher median YPLL rate and median SEYLL rate than the female, where the rate in males substantially increased after three decades.ConclusionEstimates from both the YPLL and SEYLL indicators indicate that premature CVD mortality continues to be a major burden for middle-income countries. The pattern of the YLL rate does not appear to have lessened over the past three decades, particularly for men. It is vitally necessary to develop and execute strategies and activities to lessen this mortality gap.Systematic review registrationPROSPERO CRD42021288415

South Korea Suicide Mortality Rate: Female data was reported at 15.400 NA in 2016. This records a decrease from the previous number of 16.500 NA for 2015. South Korea Suicide Mortality Rate: Female data is updated yearly, averaging 16.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.100 NA in 2010 and a record low of 9.300 NA in 2000. South Korea Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

IntroductionResearch on the effect of low-density lipoprotein (LDL)-cholesterol levels and its serial change on all-cause mortality is limited. This study investigated serial change in LDL-cholesterol and its association with all-cause mortality or sudden cardiac arrest (SCA) in patients with diabetes mellitus.MethodsData was obtained from the nationwide health insurance database of South Korea. Patients with diabetes mellitus who underwent health screening between 2009 and 2012 and those with 4-year follow-up health screening data were included. Patients were further stratified by statin use and change in LDL-cholesterol levels during this 4-year interval. The primary and secondary outcomes were all-cause mortality and SCA, respectively. Outcomes were followed up from the day of health screening till December 2018. Kaplan–Meier analysis and the Cox-proportional hazards model were used to evaluate associations between LDL-cholesterol changes, all-cause mortality, and SCA.Results and DiscussionA total of 1,329,982 patients were included, including 532,260 patients who did not receive statin therapy (non-statin users). Compared to statin users, non-statin users had a higher incidence of all-cause mortality (incidence rate 13.9–16.4 per 1,000 person-years) and SCA (1.6–1.9). Among non-statin users, patients with decreased LDL-cholesterol had the highest risk of all-cause mortality (adjusted hazard ratio 1.26, 95% confidence interval 1.21–1.31, P 

North Korea KP: Death Rate: Crude: per 1000 People data was reported at 8.844 Ratio in 2016. This records an increase from the previous number of 8.750 Ratio for 2015. North Korea KP: Death Rate: Crude: per 1000 People data is updated yearly, averaging 8.662 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 14.165 Ratio in 1960 and a record low of 5.663 Ratio in 1990. North Korea KP: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (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;

Korea Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 86.102 Ratio in 2016. This records a decrease from the previous number of 88.887 Ratio for 2015. Korea Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 246.689 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 403.572 Ratio in 1960 and a record low of 86.102 Ratio in 2016. Korea Mortality Rate: Adult: Male: per 1000 Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

Korea Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 37.244 Ratio in 2016. This records a decrease from the previous number of 37.943 Ratio for 2015. Korea Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 108.227 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 306.375 Ratio in 1960 and a record low of 37.244 Ratio in 2016. Korea Mortality Rate: Adult: Female: per 1000 Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

Korea Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 7,200.000 NA in 2015. This records an increase from the previous number of 7,000.000 NA for 2014. Korea Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 5,400.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 7,200.000 NA in 2015 and a record low of 2,500.000 NA in 1990. Korea Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;

Korea Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.700 Ratio in 2016. This records a decrease from the previous number of 0.800 Ratio for 2015. Korea Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.900 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.300 Ratio in 2000 and a record low of 0.700 Ratio in 2016. Korea Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

North Korea KP: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 98.831 Ratio in 2016. This records a decrease from the previous number of 100.544 Ratio for 2015. North Korea KP: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 137.242 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 355.971 Ratio in 1960 and a record low of 82.745 Ratio in 1992. North Korea KP: Mortality Rate: Adult: Female: per 1000 Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;