50 datasets found
  1. Leading causes of death among teenagers aged 15-19 years in the United...

    • statista.com
    Updated Dec 13, 2024
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    Statista (2024). Leading causes of death among teenagers aged 15-19 years in the United States 2020-22 [Dataset]. https://www.statista.com/statistics/1017959/distribution-of-the-10-leading-causes-of-death-among-teenagers/
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2022, the third leading cause of death among teenagers aged 15 to 19 years in the United States was intentional self-harm or suicide, contributing around 17 percent of deaths among age group. The leading cause of death at that time was unintentional injuries, contributing to around 37.4 percent of deaths, while 21.8 percent of all deaths in this age group were due to assault or homicide. Cancer and heart disease, the overall leading causes of death in the United States, are also among the leading causes of death among U.S. teenagers. Adolescent suicide in the United States In 2021, around 22 percent of students in grades 9 to 12 reported that they had seriously considered attempting suicide in the past year. Female students were around twice as likely to report seriously considering suicide compared to male students. In 2022, Montana had the highest rate of suicides among U.S. teenagers with around 39 deaths per 100,000 teenagers, followed by South Dakota with a rate of 33 per 100,000. The states with the lowest death rates among adolescents are New York and New Jersey. Mental health treatment Suicidal thoughts are a clear symptom of mental health issues. Mental health issues are not rare among children and adolescents, and treatment for such issues has become increasingly accepted and accessible. In 2021, around 15 percent of boys and girls aged 5 to 17 years had received some form of mental health treatment in the past year. At that time, around 35 percent of youths aged 12 to 17 years in the United States who were receiving specialty mental health services were doing so because they had thought about killing themselves or had already tried to kill themselves.

  2. Leading causes of death among children aged 10-14 years in the United States...

    • statista.com
    Updated Dec 13, 2024
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    Statista (2024). Leading causes of death among children aged 10-14 years in the United States 2020-22 [Dataset]. https://www.statista.com/statistics/1017954/distribution-of-the-10-leading-causes-of-death-among-children-ten-to-fourteen/
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the leading causes of death among children and adolescents in the United States aged 10 to 14 were unintentional injuries, intentional self-harm (suicide), and cancer. That year, unintentional injuries accounted for around 25 percent of all deaths among this age group. Leading causes of death among older teens Like those aged 10 to 14 years, the leading cause of death among older teenagers in the U.S. aged 15 to 19 years is unintentional injuries. In 2022, unintentional injuries accounted for around 37 percent of all deaths among older teens. However, unlike those aged 10 to 14, the second leading cause of death among teens aged 15 to 19 is assault or homicide. Sadly, the third leading cause of death among this age group is suicide, making suicide among the leading three causes of death for both age groups. Teen suicide Suicide remains a major problem among teenagers in the United States, as reflected in the leading causes of death among this age group. It was estimated that in 2021, around 22 percent of high school students in the U.S. considered attempting suicide in the past year, with this rate twice as high for girls than for boys. The states with the highest death rates due to suicide among adolescents aged 15 to 19 years are Montana, South Dakota, and New Mexico. In 2022, the death rate from suicide among this age group in Montana was 39 per 100,000 population. In comparison, New York, the state with the lowest rate, had just five suicide deaths among those aged 15 to 19 years per 100,000 population.

  3. f

    Number of children dying or last seen (censored) during each year of...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 5, 2023
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    Rachel L. Knowles; Catherine Bull; Christopher Wren; Angela Wade; Harvey Goldstein; Carol Dezateux (2023). Number of children dying or last seen (censored) during each year of follow-up. [Dataset]. http://doi.org/10.1371/journal.pone.0106806.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rachel L. Knowles; Catherine Bull; Christopher Wren; Angela Wade; Harvey Goldstein; Carol Dezateux
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *All children in the cohort were aged 12 years or older at the time of ascertainment of deaths in 2007, thus losses from follow-up at younger ages were due to death or censoring alive on the date last seen (as recorded in hospital case notes). Between 12 and 15 years there are fewer children under follow-up (‘at risk’) in the older age groups as many children had not reached these ages and this reduced the precision of survival estimates after 12 years.Number of children dying or last seen (censored) during each year of follow-up.

  4. Mortality rates, by age group

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Dec 4, 2024
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    Government of Canada, Statistics Canada (2024). Mortality rates, by age group [Dataset]. http://doi.org/10.25318/1310071001-eng
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

  5. Share of 12 to 15 year old's who say the following are important to them...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Share of 12 to 15 year old's who say the following are important to them U.S. 2022 [Dataset]. https://www.statista.com/statistics/1384462/gen-alpha-beliefs-us/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    According to a survey conducted in 2022, ** percent of 12 to 15-year-olds in the United States said that helping people was important to them, while ** percent said that protecting people from bullying was important to them.

  6. m

    Lifetime risk of maternal death (%) - Palau

    • macro-rankings.com
    csv, excel
    Updated Jun 13, 2025
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    macro-rankings (2025). Lifetime risk of maternal death (%) - Palau [Dataset]. https://www.macro-rankings.com/palau/lifetime-risk-of-maternal-death-percent
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    csv, excelAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Palau
    Description

    Time series data for the statistic Lifetime risk of maternal death (%) and country Palau. Indicator Definition: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.The indicator "Lifetime risk of maternal death (%)" stands at 0.1329 as of 12/31/2023, the lowest value since 12/31/2020. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -26.95 percent compared to the value the year prior.The 1 year change in percent is -26.95.The 3 year change in percent is -27.41.The 5 year change in percent is 3.34.The 10 year change in percent is -6.61.The Serie's long term average value is 0.204. It's latest available value, on 12/31/2023, is 34.99 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2015, to it's latest available value, on 12/31/2023, is +6.75%.The Serie's change in percent from it's maximum value, on 12/31/1994, to it's latest available value, on 12/31/2023, is -57.22%.

  7. g

    Prediction, expected change in population 6-15 years in the next 5 years,...

    • gimi9.com
    Updated Dec 28, 2023
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    (2023). Prediction, expected change in population 6-15 years in the next 5 years, (%) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_http-api-kolada-se-v2-kpi-n02917
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    Dataset updated
    Dec 28, 2023
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Expected number of inhabitants 6-15 years in 5 years divided by number of inhabitants 6-15 years 31/12 of the year in question multiplied by 100. The number of live-born children, deceased, displaced and displaced persons registered during the year is used to make the proscription. This information estimates fertility, mortality, number of immigrants, migration distributions and migration risks by age and gender. The estimates then form the basis for the calculation of the future development of the number of births, deaths, displaced and displaced. Please note that this prediction is based only on statistics available nationally and should not be confused with forecasts produced by municipalities and regions themselves. As of 2022, data will be published every three years. Data is available according to gender breakdown.

  8. m

    Lifetime risk of maternal death (1 in: rate varies by country) - Liberia

    • macro-rankings.com
    csv, excel
    Updated Jun 12, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Liberia
    Description

    Time series data for the statistic Lifetime risk of maternal death (1 in: rate varies by country) and country Liberia. Indicator Definition: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.The indicator "Lifetime risk of maternal death (1 in: rate varies by country)" stands at 40.00 as of 12/31/2023, the highest value at least since 12/31/1986, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.56 percent compared to the value the year prior.The 1 year change in percent is 2.56.The 3 year change in percent is 11.11.The 5 year change in percent is 21.21.The 10 year change in percent is 37.93.The Serie's long term average value is 23.26. It's latest available value, on 12/31/2023, is 72.00 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2023, is +471.43%.The Serie's change in percent from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is 0.0%.

  9. m

    Lifetime risk of maternal death (1 in: rate varies by country) - Belize

    • macro-rankings.com
    csv, excel
    Updated Jun 12, 2025
    + more versions
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    macro-rankings (2025). Lifetime risk of maternal death (1 in: rate varies by country) - Belize [Dataset]. https://www.macro-rankings.com/belize/lifetime-risk-of-maternal-death-(1-in-rate-varies-by-country)
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    csv, excelAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Belize
    Description

    Time series data for the statistic Lifetime risk of maternal death (1 in: rate varies by country) and country Belize. Indicator Definition: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.The indicator "Lifetime risk of maternal death (1 in: rate varies by country)" stands at 733.00 as of 12/31/2023, the highest value since 12/31/2017. Regarding the One-Year-Change of the series, the current value constitutes an increase of 58.32 percent compared to the value the year prior.The 1 year change in percent is 58.32.The 3 year change in percent is 35.99.The 5 year change in percent is 7.48.The 10 year change in percent is -20.67.The Serie's long term average value is 502.85. It's latest available value, on 12/31/2023, is 45.77 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1985, to it's latest available value, on 12/31/2023, is +304.97%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2023, is -23.57%.

  10. m

    Lifetime risk of maternal death (%) - Somalia

    • macro-rankings.com
    csv, excel
    Updated Jun 13, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Somalia
    Description

    Time series data for the statistic Lifetime risk of maternal death (%) and country Somalia. Indicator Definition: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.The indicator "Lifetime risk of maternal death (%)" stands at 3.36 as of 12/31/2023, the lowest value at least since 12/31/1986, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -10.42 percent compared to the value the year prior.The 1 year change in percent is -10.42.The 3 year change in percent is -17.43.The 5 year change in percent is -27.10.The 10 year change in percent is -40.89.The Serie's long term average value is 7.06. It's latest available value, on 12/31/2023, is 52.36 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1988, to it's latest available value, on 12/31/2023, is -65.11%.

  11. Leading causes of death among children aged 1-4 years in the United States...

    • statista.com
    Updated Dec 13, 2024
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    Statista (2024). Leading causes of death among children aged 1-4 years in the United States 2020-2022 [Dataset]. https://www.statista.com/statistics/1017924/distribution-of-the-10-leading-causes-of-death-among-children-one-to-four/
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the leading causes of death for children aged one to four years in the United States were unintentional injuries and congenital malformations, deformations, and chromosomal abnormalities. At that time, around 31 percent of all deaths among these children were caused by unintentional injuries. Differences in causes of death among children by age Just as unintentional injuries are the leading cause of death among children aged one to four, it is also the leading cause of death for the age groups five to nine and 10 to 14. However, congenital malformations, deformations, and chromosomal abnormalities account for fewer deaths as children become older, while the share of deaths caused by cancer is higher among those aged five to nine and 10 to 14. In fact, cancer is the second leading cause of death among five to nine-year-olds, accounting for around 15 percent of all deaths. Sadly, the second leading cause of death among children aged 10 to 14 is intentional self-harm, with 13 percent of all deaths among those in this age group caused by suicide. Leading causes of death in the United States The leading causes of death in the United States are heart disease and malignant neoplasms. Together, these two diseases accounted for around 40 percent of all deaths in the United States in 2022. That year, COVID-19 was the fourth leading cause of death, with about six percent of all deaths caused by COVID-19. In 2022, the lifetime odds that the average person in the United States would die from heart disease was one in six, while the odds for cancer were one in seven and for COVID-19 one in 23.

  12. I

    Indonesia COVID-19: To-Date: Vaccination: West Papua: Dose 1: Age 12 to 17...

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia COVID-19: To-Date: Vaccination: West Papua: Dose 1: Age 12 to 17 Years Old [Dataset]. https://www.ceicdata.com/en/indonesia/coronavirus-disease-2019-covid19-vaccination-status-by-province/covid19-todate-vaccination-west-papua-dose-1-age-12-to-17-years-old
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 14, 2025 - Mar 25, 2025
    Area covered
    Indonesia
    Description

    COVID-19: To-Date: Vaccination: West Papua: Dose 1: Age 12 to 17 Years Old data was reported at 71,280.000 Person in 16 May 2025. This stayed constant from the previous number of 71,280.000 Person for 15 May 2025. COVID-19: To-Date: Vaccination: West Papua: Dose 1: Age 12 to 17 Years Old data is updated daily, averaging 71,230.000 Person from Mar 2021 (Median) to 16 May 2025, with 1431 observations. The data reached an all-time high of 71,704.000 Person in 30 Oct 2022 and a record low of 1.000 Person in 01 Apr 2021. COVID-19: To-Date: Vaccination: West Papua: Dose 1: Age 12 to 17 Years Old data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLB004: Coronavirus Disease 2019 (Covid-19): Vaccination Status: by Province.

  13. a

    Proportion of women and girls aged 15 years and older subjected to sexual...

    • hub.arcgis.com
    Updated Mar 12, 2025
    + more versions
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    UN DESA Statistics Division (2025). Proportion of women and girls aged 15 years and older subjected to sexual violence by persons other than an intimate partner in the previous 12 months, by age and place of occurrence [Dataset]. https://hub.arcgis.com/datasets/d96a463b8dda48629225e8ddb41ac5e1
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    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Data Series: Proportion of women and girls aged 15 years and older subjected to sexual violence by persons other than an intimate partner in the previous 12 months, by age and place of occurrence Indicator: V.2 - Proportion of women and girls aged 15 years and older subjected to sexual violence by persons other than an intimate partner in the previous 12 months, by age and place of occurrence Source year: 2024 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Human rights of women and girl children

  14. n

    Data from: The regulation of emotions in adolescents: age differences and...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Mar 29, 2019
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    Anne Theurel; Edouard Gentaz (2019). The regulation of emotions in adolescents: age differences and emotion-specific patterns [Dataset]. http://doi.org/10.5061/dryad.n230404
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    zipAvailable download formats
    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Université Grenoble Alpes
    SensoriMotor, Affective and Social Development Lab, Geneva, Switzerland
    Authors
    Anne Theurel; Edouard Gentaz
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Rhones Alpes, France
    Description

    Two experiments addressed the issue of age-related differences and emotion-specific patterns in emotion regulation during adolescence. Experiment 1 examined emotion-specific patterns in the effectiveness of reappraisal and distraction strategies in 14-year-old adolescents (N = 50). Adolescents were instructed to answer spontaneously or to downregulate their responses by using either distraction or cognitive reappraisal strategies before viewing negative pictures and were asked to rate their emotional state after picture presentation. Results showed that reappraisal effectiveness was modulated by emotional content but distraction was not. Reappraisal was more effective than distraction at regulating fear or anxiety (threat-related pictures) but was similar to distraction regarding other emotions. Using the same paradigm, Experiment 2 examined in 12-year-old (N = 56), 13-year-old (N = 49) and 15-year-old adolescents (N = 54) the age-related differences a) in the effectiveness of reappraisal and distraction when implemented and b) in the everyday use of regulation strategies using the Cognitive Emotion Regulation Questionnaire. Results revealed that regulation effectiveness was equivalent for both strategies in 12-year-olds, whereas a large improvement in reappraisal effectiveness was observed in 13- and 15-year-olds. No age differences were observed in the reported use of reappraisal, but older adolescents less frequently reported using distraction and more frequently reported using the rumination strategy. Taken together, these experiments provide new findings regarding the use and the effectiveness of cognitive regulation strategies during adolescence in terms of age differences and emotion specificity.

  15. d

    Child Dental Health Survey 2013, England, Wales and Northern Ireland

    • digital.nhs.uk
    pdf, xlsx
    Updated Mar 19, 2015
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    (2015). Child Dental Health Survey 2013, England, Wales and Northern Ireland [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/children-s-dental-health-survey
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    xlsx(201.6 kB), pdf(923.9 kB), xlsx(1.0 MB), pdf(945.2 kB), pdf(1.1 MB), xlsx(188.8 kB), xlsx(141.2 kB), pdf(317.5 kB), xlsx(196.6 kB), pdf(1.9 MB), pdf(933.9 kB), pdf(907.2 kB), xlsx(483.9 kB), xlsx(169.2 kB), pdf(6.7 MB), pdf(190.2 kB), pdf(1.0 MB), xlsx(199.9 kB), pdf(489.7 kB), xlsx(225.1 kB), pdf(851.9 kB)Available download formats
    Dataset updated
    Mar 19, 2015
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Sep 1, 2013 - Jul 31, 2014
    Area covered
    England, Ireland, Northern Ireland
    Description

    Child Dental Health Survey 2013, England, Wales and Northern Ireland The 2013 Children's Dental Health (CDH) Survey, commissioned by the Health and Social Care Information Centre, is the fifth in a series of national children's dental health surveys that have been carried out every ten years since 1973. The 2013 survey provides statistical estimates on the dental health of 5, 8, 12 and 15 year old children in England, Wales and Northern Ireland, using data collected during dental examinations conducted in schools on a random sample of children by NHS dentists and nurses. The survey measures changes in oral health since the last survey in 2003, and provides information on the distribution and severity of oral diseases and conditions in 2013. The survey oversampled schools with high rates of free school meal eligibility to enable comparison of children from lower income families* (children eligible for free school meals in 2013) with other children of the same age, in terms of their oral health, and related perceptions and behaviours*. The 2013 survey dental examination was extended so that tooth decay (dental caries) could be measured across a range of detection thresholds. This reflects the way in which the detection and management of tooth decay has evolved towards more preventive approaches to care, rather than just providing treatment for disease. This survey provides estimates for dental decay across the continuum of caries, including both restorative and preventive care needs*. Complementary information on the children's experiences, perceptions and behaviours relevant to their oral health was collected from parents and 12 and 15 year old children using self-completion questionnaires. The self-completion questionnaire for older children was introduced for the 2013 survey. ---------------------------------------------------------------------- *In 2013 when this survey took place, a free school meal was a statutory benefit available only to school aged children from families who received other qualifying benefits (such as Income Support). *Differences in clinical outcomes between socio-economic groups are likely to reflect different attitudes, behaviours and experiences relevant to oral health that may also be mediated through other demographic characteristics such as ethnicity and country of birth *Estimates from the four detection thresholds measured in the 2013 survey are available in Report 2.

  16. m

    Lifetime risk of maternal death (1 in: rate varies by country) - Somalia

    • macro-rankings.com
    csv, excel
    Updated Jun 12, 2025
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    macro-rankings (2025). Lifetime risk of maternal death (1 in: rate varies by country) - Somalia [Dataset]. https://www.macro-rankings.com/somalia/lifetime-risk-of-maternal-death-(1-in-rate-varies-by-country)
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    csv, excelAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Somalia
    Description

    Time series data for the statistic Lifetime risk of maternal death (1 in: rate varies by country) and country Somalia. Indicator Definition: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.The indicator "Lifetime risk of maternal death (1 in: rate varies by country)" stands at 30.00 as of 12/31/2023, the highest value at least since 12/31/1986, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 11.11 percent compared to the value the year prior.The 1 year change in percent is 11.11.The 3 year change in percent is 20.00.The 5 year change in percent is 36.36.The 10 year change in percent is 66.67.The Serie's long term average value is 15.49. It's latest available value, on 12/31/2023, is 93.71 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1988, to it's latest available value, on 12/31/2023, is +200.00%.The Serie's change in percent from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is 0.0%.

  17. m

    Lifetime risk of maternal death (1 in: rate varies by country) - Gambia, The...

    • macro-rankings.com
    csv, excel
    Updated Jun 12, 2025
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    macro-rankings (2025). Lifetime risk of maternal death (1 in: rate varies by country) - Gambia, The [Dataset]. https://www.macro-rankings.com/gambia/lifetime-risk-of-maternal-death-(1-in-rate-varies-by-country)
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    excel, csvAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    The Gambia
    Description

    Time series data for the statistic Lifetime risk of maternal death (1 in: rate varies by country) and country Gambia, The. Indicator Definition: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.The indicator "Lifetime risk of maternal death (1 in: rate varies by country)" stands at 72.00 as of 12/31/2023, the highest value at least since 12/31/1986, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 4.35 percent compared to the value the year prior.The 1 year change in percent is 4.35.The 3 year change in percent is 18.03.The 5 year change in percent is 35.85.The 10 year change in percent is 118.18.The Serie's long term average value is 29.77. It's latest available value, on 12/31/2023, is 141.86 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1985, to it's latest available value, on 12/31/2023, is +554.55%.The Serie's change in percent from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is 0.0%.

  18. N

    Emington, IL Age Group Population Dataset: A Complete Breakdown of Emington...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
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    Neilsberg Research (2024). Emington, IL Age Group Population Dataset: A Complete Breakdown of Emington Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aa8bec70-4983-11ef-ae5d-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, Emington
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Emington population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Emington. The dataset can be utilized to understand the population distribution of Emington by age. For example, using this dataset, we can identify the largest age group in Emington.

    Key observations

    The largest age group in Emington, IL was for the group of age 35 to 39 years years with a population of 12 (15%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Emington, IL was the 50 to 54 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Emington is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Emington total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Emington Population by Age. You can refer the same here

  19. U.S. drug overdose deaths among those aged 15 to 24 years from 1999 to 2022

    • statista.com
    Updated Jun 20, 2024
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    Statista (2024). U.S. drug overdose deaths among those aged 15 to 24 years from 1999 to 2022 [Dataset]. https://www.statista.com/statistics/707323/number-of-drug-overdose-deaths-age-15-to-24-in-us/
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    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2022
    Area covered
    United States
    Description

    In 2022, around 6,606 people aged 15 to 24 years died from a drug overdose. Opioids, primarily prescription pain relievers and heroin, are the main driver of overdose deaths. This statistic presents the number of drug overdose deaths among those aged 15 to 24 years in the U.S. from 1999 to 2022.

  20. e

    Young Lives: School Survey, Vietnam, 2016-2017 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 31, 2023
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    (2023). Young Lives: School Survey, Vietnam, 2016-2017 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/062eea70-19d1-5d69-be70-a30c351a693c
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    Dataset updated
    Oct 31, 2023
    Area covered
    Vietnam
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The study is being conducted in Ethiopia, India, Peru and Vietnam and has tracked the lives of 12,000 children over a 20-year period, through 5 (in-person) survey rounds (Round 1-5) and, with the latest survey round (Round 6) conducted over the phone in 2020 and 2021 as part of the Listening to Young Lives at Work: COVID-19 Phone Survey.Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, Round 4 surveyed them at 12 and 19 years old, and Round 5 surveyed them at 15 and 22 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.The 2020 phone survey consists of three phone calls (Call 1 administered in June-July 2020; Call 2 in August-October 2020 and Call 3 in November-December 2020) and the 2021 phone survey consists of two additional phone calls (Call 4 in August 2021 and Call 5 in October-December 2021) The calls took place with each Young Lives respondent, across both the younger and older cohort, and in all four study countries (reaching an estimated total of around 11,000 young people).The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.Further information about the survey, including publications, can be downloaded from the Young Lives website. School Survey: A school survey was introduced into Young Lives in 2010, following the third round of the household survey, in order to capture detailed information about children's experiences of schooling, and to improve our understanding of:the relationships between learning outcomes, and children's home backgrounds, gender, work, schools, teachers and class and school peer-groupsschool effectiveness, by analysing factors explaining the development of cognitive and non-cognitive skills in school, including value-added analysis of schooling and comparative analysis of school-systemsequity issues (including gender) in relation to learning outcomes and the evolution of inequalities within educationThe survey allows researchers to link longitudinal information on household and child characteristics from the household survey with data on the schools attended by the Young Lives children and children's achievements inside and outside the school. It provides policy-relevant information on the relationship between child development (and its determinants) and children's experience of school, including access, quality and progression. This combination of household, child and school-level data over time constitutes the comparative advantage of Young Lives. A further round of school surveys took place during the 2016-2017 school year. The key focus areas for these were:benchmarking levels of student attainment and progress in key learning domainseffects of school and teacher quality, and school effectivenesseducational transitions at age 15The 2016-2017 school surveys focused on the level of schooling accessed by 15-year-olds in each country, so including Grade 7 and 8 students in Ethiopia (upper primary level), Grade 9 students in India (lower secondary level), and Grade 10 students in Vietnam (upper secondary level). The School Survey data are held separately for each country. The Ethiopia data are available from the UK Data Archive under SN 7823 and SN 8359, the India data are available from SN 7478 and SN 8359, and the Peru data have been archived under SN 7479 (no 2016-2017 survey). Further information is available from the Young Lives School Survey webpages. Main Topics: The Vietnam survey included data collection at the school, class and pupil level, and involved the Principal / Head teacher, the Maths and English teachers, and the Young Lives child. The instruments included in the survey were:Principal questionnaire - collected background data on the principal and the school (including school management practices)Teacher questionnaire - collected background data on Grade 10 Maths and English teachers (including teacher motivation, and class-level information)Student questionnaire - collected background data on Grade 10 students (including academic support within and beyond school, and psychosocial measures)Maths test - repeated measures, administered at the beginning and end of Grade 10. Assessing students’ curriculum knowledge, and ability to apply curriculum knowledge in less familiar contextsFunctional English test - repeated measures, administered at the beginning and end of Grade 10. Assessing students' English reading skills relevant to the contexts in which they use (or will use) the languageTransferable Skills test - cross-sectional measure, administered at the end of Grade 10. Assessing problem solving and critical thinking skillsSchool facilities observation - collected data on school infrastructure Multi-stage stratified random sample See documentation for details Face-to-face interview Self-completion Educational measurements

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Statista (2024). Leading causes of death among teenagers aged 15-19 years in the United States 2020-22 [Dataset]. https://www.statista.com/statistics/1017959/distribution-of-the-10-leading-causes-of-death-among-teenagers/
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Leading causes of death among teenagers aged 15-19 years in the United States 2020-22

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 13, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

As of 2022, the third leading cause of death among teenagers aged 15 to 19 years in the United States was intentional self-harm or suicide, contributing around 17 percent of deaths among age group. The leading cause of death at that time was unintentional injuries, contributing to around 37.4 percent of deaths, while 21.8 percent of all deaths in this age group were due to assault or homicide. Cancer and heart disease, the overall leading causes of death in the United States, are also among the leading causes of death among U.S. teenagers. Adolescent suicide in the United States In 2021, around 22 percent of students in grades 9 to 12 reported that they had seriously considered attempting suicide in the past year. Female students were around twice as likely to report seriously considering suicide compared to male students. In 2022, Montana had the highest rate of suicides among U.S. teenagers with around 39 deaths per 100,000 teenagers, followed by South Dakota with a rate of 33 per 100,000. The states with the lowest death rates among adolescents are New York and New Jersey. Mental health treatment Suicidal thoughts are a clear symptom of mental health issues. Mental health issues are not rare among children and adolescents, and treatment for such issues has become increasingly accepted and accessible. In 2021, around 15 percent of boys and girls aged 5 to 17 years had received some form of mental health treatment in the past year. At that time, around 35 percent of youths aged 12 to 17 years in the United States who were receiving specialty mental health services were doing so because they had thought about killing themselves or had already tried to kill themselves.

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