According to a survey conducted in South Korea in 2023, approximately 42.7 percent of middle and high school students who had suicidal thoughts in the past year cited academic problems as the main reason. This was followed by anxiety about the future and career, which accounted for around 29.8 percent. Suicide has been the leading cause of death among people aged 10 to 24 in South Korea since 2011.

South Korea maternal mortality rate for 2020 was 8.00, a 33.33% increase from 2019.

• South Korea maternal mortality rate for 2019 was 6.00, a 0% increase from 2018.
• South Korea maternal mortality rate for 2018 was 6.00, a 0% increase from 2017.
• South Korea maternal mortality rate for 2017 was 6.00, a 0% increase from 2016.

Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.

Korea Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 3.000 Ratio in 2017. This records a decrease from the previous number of 3.200 Ratio for 2015. Korea Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 3.800 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 14.400 Ratio in 1990 and a record low of 3.000 Ratio in 2017. Korea 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 South Korea – Table KR.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.

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.

North Korea KP: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 17.200 Ratio in 2017. This records a decrease from the previous number of 19.000 Ratio for 2015. North Korea KP: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 26.900 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 55.800 Ratio in 2000 and a record low of 17.200 Ratio in 2017. North Korea KP: 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 North Korea – Table KP.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.

The total fertility rate in South Korea decreased to 0.78 children per woman compared to the previous year. Therefore, 2022 marks the lowest fertility rate during the observed period. Total fertility rates refer to the average number of children that a woman of childbearing age (generally considered 15 to 44 years) can expect to have throughout her reproductive years. Unlike birth rates, which are based on the actual number of live births in a given population, fertility rates are hypothetical (similar to life expectancy), as they assume that current patterns in age-specific fertility will remain constant throughout a woman's reproductive years.Find more statistics on other topics about South Korea with key insights such as total life expectancy at birth, age dependency ratio, and infant mortality rate.

Between 1953 and 2021, the death rate of the United Kingdom fluctuated between a high of 12.2 deaths per 1,000 people in 1962 and a low of 8.7 in 2011. From 2011 onwards, the death rate creeped up slightly and, in 2020, reached 10.3 deaths per 1,000 people. In 2021, the most recent year provided here, the death rate was ten, a decline from 2020 but still higher than in almost every year in the twenty-first century. The recent spike in the death rate corresponds to the emergence of the COVID-19 pandemic in the UK, with the first cases recorded in early 2020. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, the highest in more than a century. Although there were fewer deaths in 2021, at 667,479, this was still far higher than in recent years. When looking at the weekly deaths in England and Wales for this time period, two periods stand out for reporting far more deaths than usual. The first period was between weeks 13 and 22 of 2020, which saw two weeks in late April report more than 20,000 deaths. Excess deaths for the week ending April 17, 2020, were 11,854, and 11,539 for the following week. Another wave of deaths occurred in January 2021, when there were more than 18,000 deaths per week between weeks three and five of that year. Improvements to life expectancy slowing Between 2020 and 2022, life expectancy in the United Kingdom was approximately 82.57 years for women and 78.57 years for men. Compared with life expectancy in 1980/82 this marked an increase of around six years for women and almost eight years for men. Despite these long-term developments, improvements to life expectancy have been slowing in recent years, and have declined since 2017/19. As of 2022, the country with the highest life expectancy in the World was Japan, which was 84.5 years, followed by South Korea, at 83.6 years.

Korea Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 0.800 Ratio in 2017. This records a decrease from the previous number of 0.900 Ratio for 2015. Korea Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 1.200 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 5.200 Ratio in 1990 and a record low of 0.800 Ratio in 2017. Korea 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 South Korea – Table KR.World Bank.WDI: 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;

Infant mortality rate is number of infant deaths per 1,000 live births. Data are for Santa Clara County residents. The measure is summarized for total county population, by race/ethnicity and Asian/Pacific Islander subgroups. Data are presented for single years at county level and pooled years combined for population subgroups. Source: Santa Clara County Public Health Department, 2007-2015 Birth Statistical Master File; Santa Clara County Public Health Department, VRBIS, 2007-2015. Data as of 05/26/2017.METADATA:Notes (String): Lists table title, sourceYear (String): Year of death. Pooled data years are used for certain categories to meet the minimum data requirements.Category (String): Lists the category representing the data: Santa Clara County is for total population, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only), and Asian/Pacific Islander subgroups: Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese and Pacific Islanders.Rate per 1,000 live births (Numeric): Infant mortality rate is number of infant (under the age of 1 year) deaths in a year per 1,000 live births in the same time period.

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

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;