100+ datasets found
  1. Age-standardized mortality rate by leading cause of death and sex

    • www150.statcan.gc.ca
    Updated Feb 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Age-standardized mortality rate by leading cause of death and sex [Dataset]. http://doi.org/10.25318/1310080001-eng
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of deaths, crude mortality rates and age standardized mortality rates (based on 2011 population) for selected grouped causes, by sex. Data are available beginning from 2000.

  2. f

    Data from: Trends in incidence, treatment and survival of borderline ovarian...

    • tandf.figshare.com
    tiff
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Melinda S. Schuurman; Maite Timmermans; Toon van Gorp; Koen K. Van de Vijver; Roy F. P. M. Kruitwagen; Valery E. P. P. Lemmens; Maaike A. van der Aa (2023). Trends in incidence, treatment and survival of borderline ovarian tumors in the Netherlands: a nationwide analysis [Dataset]. http://doi.org/10.6084/m9.figshare.8191916.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Melinda S. Schuurman; Maite Timmermans; Toon van Gorp; Koen K. Van de Vijver; Roy F. P. M. Kruitwagen; Valery E. P. P. Lemmens; Maaike A. van der Aa
    License

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

    Area covered
    Netherlands
    Description

    Background: Population-based data on borderline ovarian tumors (BOTs) are scarce and information regarding recent trends in incidence, treatment and survival is lacking. The purpose of this study was to analyze these trends in the Netherlands and to assess the risk of developing a subsequent invasive ovarian tumor. Material and methods: All consecutive patients diagnosed with BOTs between 1993 and 2016 (n = 7113) were identified from the Netherlands Cancer Registry (NCR). Annual age-adjusted incidence rates were calculated. Relative survival (RS) analyses and multivariable analyses estimating excess mortality were conducted. Patients with a subsequent invasive ovarian tumor were identified by the NCR. Results: Age-adjusted incidence increased from 2.1/100,000 person-years in 1993 to 4.2/100,000 in 2011, after 2011 the incidence declined. The proportion of bilateral tumors decreased over time from 16% in 1993–1998 to 11% in 2005–2010 and remained stable onwards. Survival improved over time (excess mortality ratioadjusted 2011–2016 versus 1993–1998: 0.25; 95%CI: 0.13–0.47). Five-year RS increased from 91% in 1993–1998 to 98% in 2011–2016 and 10-year RS from 88% in 1993–1998 to 96% in 2005–2010. Fewer patients were treated with chemotherapy (4.4% in 1993–1998 versus 0.7% in 2011–2016). During a median follow-up time of 8 years, 0.9% developed a subsequent invasive ovarian carcinoma. Conclusions: The incidence of BOTs increased over time from 1993 until 2010 but declined since 2011. This decline may be partly due to changes in the classification of gynecological tumors, as serous BOTs are now more often diagnosed as low grade serous ovarian cancers. Survival is high and has improved since 1993. The risk of a subsequent invasive ovarian carcinoma seems low.

  3. Total and sex-specific mortality rates (per 1,000 person-years) among people...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cleusa P. Ferri; Daisy Acosta; Mariella Guerra; Yueqin Huang; Juan J. Llibre-Rodriguez; Aquiles Salas; Ana Luisa Sosa; Joseph D. Williams; Ciro Gaona; Zhaorui Liu; Lisseth Noriega-Fernandez; A. T. Jotheeswaran; Martin J. Prince (2023). Total and sex-specific mortality rates (per 1,000 person-years) among people aged 65 and over and standardized mortality ratio. [Dataset]. http://doi.org/10.1371/journal.pmed.1001179.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cleusa P. Ferri; Daisy Acosta; Mariella Guerra; Yueqin Huang; Juan J. Llibre-Rodriguez; Aquiles Salas; Ana Luisa Sosa; Joseph D. Williams; Ciro Gaona; Zhaorui Liu; Lisseth Noriega-Fernandez; A. T. Jotheeswaran; Martin J. Prince
    License

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

    Description

    Rate and ratio data are given as percent (95% CI).aStandardized by age group, sex, education, occupational attainment, household assets, and food insecurity, using the whole sample as the standard population.bStandardized for age group and sex to US national rates for 2005.

  4. f

    lillies: An R package for the estimation of excess Life Years Lost among...

    • figshare.com
    • plos.figshare.com
    pdf
    Updated Mar 6, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Oleguer Plana-Ripoll; Vladimir Canudas-Romo; Nanna Weye; Thomas M. Laursen; John J. McGrath; Per Kragh Andersen (2020). lillies: An R package for the estimation of excess Life Years Lost among patients with a given disease or condition [Dataset]. http://doi.org/10.1371/journal.pone.0228073
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 6, 2020
    Dataset provided by
    PLOS ONE
    Authors
    Oleguer Plana-Ripoll; Vladimir Canudas-Romo; Nanna Weye; Thomas M. Laursen; John J. McGrath; Per Kragh Andersen
    License

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

    Description

    Life expectancy at a given age is a summary measure of mortality rates present in a population (estimated as the area under the survival curve), and represents the average number of years an individual at that age is expected to live if current age-specific mortality rates apply now and in the future. A complementary metric is the number of Life Years Lost, which is used to measure the reduction in life expectancy for a specific group of persons, for example those diagnosed with a specific disease or condition (e.g. smoking). However, calculation of life expectancy among those with a specific disease is not straightforward for diseases that are not present at birth, and previous studies have considered a fixed age at onset of the disease, e.g. at age 15 or 20 years. In this paper, we present the R package lillies (freely available through the Comprehensive R Archive Network; CRAN) to guide the reader on how to implement a recently-introduced method to estimate excess Life Years Lost associated with a disease or condition that overcomes these limitations. In addition, we show how to decompose the total number of Life Years Lost into specific causes of death through a competing risks model, and how to calculate confidence intervals for the estimates using non-parametric bootstrap. We provide a description on how to use the method when the researcher has access to individual-level data (e.g. electronic healthcare and mortality records) and when only aggregated-level data are available.

  5. c

    Data from: Vital Statistics_Vital statistics of Japan_Final data_General...

    • search.ckan.jp
    Updated Feb 17, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DATA GO JP データカタログサイト (2020). Vital Statistics_Vital statistics of Japan_Final data_General mortality_Yearly_2018 [Dataset]. https://search.ckan.jp/datasets/www.data.go.jp_data_dataset:mhlw_20200217_0096
    Explore at:
    Dataset updated
    Feb 17, 2020
    Authors
    DATA GO JP データカタログサイト
    Area covered
    Japan
    Description

    【リソース】Volume 1_5-1_Trends in deaths, death rates (per 1,000 population) by sex and sex ratio:Japan / Volume 1_5-2_Trends in crude death rates and age-adjusted death rates (per 1,000 population) by sex:Japan / Volume 1_5-4_Trends in deaths and death rates (per 1,000 population) by month:Japan / Volume 1_5-5_Trends in deaths by place of occurrence:Japan / Volume 1_5-6_Trends in percent distribution of deaths by place of occurrence:Japan / Volume 1_5-7_Deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2018 / Volume 1_5-8_Percent distribution of deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2018 / Volume 1_5-9_Trends in deaths by each prefecture:Japan / Volume 1_5-10_Trends in death rates (per 1,000 population) by each prefecture:Japan / Volume 1_5-11_Trends in leading causes of death:Japan (Death rates (per 100,000 population)) / Volume 1_5-12_Trends in deaths and death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-13_Trends in deaths and death rates (per 100,000 population) by sex and causes (the condensed list of causes of death for Japan):Japan / Volume 1_5-14_Trends in age-adjusted death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-15_Trends in deaths and death rates (per 100,000 population) by sex, age and causes of death:Japan / Volume 1_5-16_Death rates (per 100,000 population) by sex, age and causes (the condensed list of causes of death for Japan):Japan, 2018 / Volume 1_5-17_Leading causes of death by sex and age:Japan, 2018 (deaths, death rates (per 100,000 population), proportion(%)) / Volume 1_5-18_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan) by month:Japan, 2018 / Volume 1_5-19_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan):Japan, each prefecture and 21 major cities, 2018 / Volume 1_5-20_Leading causes of death:Japan, each prefecture and 21 major cities, 2018 / Volume 1_5-21_Trends in deaths and percent distribution from leading causes of death by sex and place of occurrence:Japan / Volume 1_5-22_Deaths and percent distribution from leading causes of death by sex, age and place of occurrence:Japan, 2018 / Volume 1_5-23_Deaths and percent distribution by causes (the selected list of causes of death for Japan) and type of occupation of household:Japan, 2018 / Volume 1_5-24_Trends in deaths and death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-25_Trends in death rates (per 100,000 population) from malignant neoplasms by sex, age and site:Japan / Volume 1_5-26_Trends in age-adjusted death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-27_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from cerebrovascular diseases by sex and disease type:Japan / Volume 1_5-28_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from heart diseases by sex and disease type:Japan / Volume 1_5-29_Trends in deaths and death rates (per 100,000 population) by causes (the list of infectious diseases):Japan / Volume 1_5-30_Trends in deaths and death rates (per 100,000 population) from accidents by external causes:Japan / Volume 1_5-31_Deaths from accidents by age and external causes:Japan, 2018 / Volume 1_5-32_Percent distribution of deaths from accidents by age and external causes:Japan, 2018 / Volume 1_5-33_Trends in deaths and percent distribution from transportation accidents by external causes:Japan / Volume 1_5-34_Deaths and percent distribution from nontransportation accidents by age and place of occurrence:Japan, 2018 / Volume 1_5-35_Deaths and percent distribution from accidents at home by age and external causes:Japan, 2018 / Volume 1_5-36_Trends in deaths and percent distribution from suicide by sex and external causes:Japan / Volume 1_5-37_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-38_Trends in late maternal deaths and late maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-39_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by each prefecture:Japan / Volume 2_1_Deaths, infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week), by place of occurrence, for urban/rural residence:Japan, each prefecture and 21 major cities / Volume 2_2_Deaths by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Deaths by sex and age:Japan, each prefecture and 21 major cities / Volume 2_4_Deaths by sex and single years of age:Japan, each prefecture and 21 major cities_(1) Total,0-64years / Volume 2_4_Deaths by sex and single years of age:Japan, each prefecture and 21

  6. C

    Comoros KM: Suicide Mortality Rate: per 100,000 Population

    • ceicdata.com
    Updated Jun 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Comoros KM: Suicide Mortality Rate: per 100,000 Population [Dataset]. https://www.ceicdata.com/en/comoros/social-health-statistics/km-suicide-mortality-rate-per-100000-population
    Explore at:
    Dataset updated
    Jun 19, 2025
    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
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Comoros
    Description

    Comoros KM: Suicide Mortality Rate: per 100,000 Population data was reported at 6.000 Ratio in 2021. This records a decrease from the previous number of 6.210 Ratio for 2020. Comoros KM: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 6.185 Ratio from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 6.890 Ratio in 2000 and a record low of 5.780 Ratio in 2009. Comoros KM: Suicide Mortality Rate: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].

  7. f

    Association of childhood obesity with risk of early all-cause and...

    • figshare.com
    pdf
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Louise Lindberg; Pernilla Danielsson; Martina Persson; Claude Marcus; Emilia Hagman (2023). Association of childhood obesity with risk of early all-cause and cause-specific mortality: A Swedish prospective cohort study [Dataset]. http://doi.org/10.1371/journal.pmed.1003078
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Louise Lindberg; Pernilla Danielsson; Martina Persson; Claude Marcus; Emilia Hagman
    License

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

    Description

    BackgroundPediatric obesity is associated with increased risk of premature death from middle age onward, but whether the risk is already increased in young adulthood is unclear. The aim was to investigate whether individuals who had obesity in childhood have an increased mortality risk in young adulthood, compared with a population-based comparison group.Methods and findingsIn this prospective cohort study, we linked nationwide registers and collected data on 41,359 individuals. Individuals enrolled at age 3–17.9 years in the Swedish Childhood Obesity Treatment Register (BORIS) and living in Sweden on their 18th birthday (start of follow-up) were included. A comparison group was matched by year of birth, sex, and area of residence. We analyzed all-cause mortality and cause-specific mortality using Cox proportional hazards models, adjusted according to group, sex, Nordic origin, and parental socioeconomic status (SES). Over 190,752 person-years of follow-up (median follow-up time 3.6 years), 104 deaths were recorded. Median (IQR) age at death was 22.0 (20.0–24.5) years. In the childhood obesity cohort, 0.55% (n = 39) died during the follow-up period, compared to 0.19% (n = 65) in the comparison group (p < 0.001). More than a quarter of the deaths among individuals in the childhood obesity cohort had obesity recorded as a primary or contributing cause of death. Male sex and low parental SES were associated with premature all-cause mortality. Suicide and self-harm with undetermined intent were the main cause of death in both groups. The largest difference between the groups lay within endogenous causes of death, where children who had undergone obesity treatment had an adjusted mortality rate ratio of 4.04 (95% CI 2.00–8.17, p < 0.001) compared with the comparison group. The main study limitation was the lack of anthropometric data in the comparison group.ConclusionsOur study shows that the risk of mortality in early adulthood may be higher for individuals who had obesity in childhood compared to a population-based comparison group.

  8. c

    Data from: Vital Statistics_Vital statistics of Japan_Final data_General...

    • search.ckan.jp
    Updated Oct 15, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DATA GO JP データカタログサイト (2021). Vital Statistics_Vital statistics of Japan_Final data_General mortality_Yearly_2011 [Dataset]. https://search.ckan.jp/datasets/www.data.go.jp_data_dataset:mhlw_20211015_0062
    Explore at:
    Dataset updated
    Oct 15, 2021
    Authors
    DATA GO JP データカタログサイト
    Area covered
    Japan
    Description

    【リソース】Volume 1_5-1_Trends in deaths, death rates (per 1,000 population) by sex and sex ratio:Japan / / Volume 1_5-2_Trends in crude death rates and age-adjusted death rates (per 1,000 population) by sex:Japan / Volume 1_5-3_International comparison of crude death rates and age-standardized death rates (per 100,000 population), 2008 / Volume 1_5-4_Trends in deaths and death rates (per 1,000 population) by month:Japan / Volume 1_5-5_Trends in deaths by place of occurrence:Japan / Volume 1_5-6_Trends in percent distribution of deaths by place of occurrence:Japan / Volume 1_5-7_Deaths by place of occurrence:Japan, each prefecture and 20 major cities, 2011 / Volume 1_5-8_Percent distribution of deaths by place of occurrence:Japan, each prefecture and 20 major cities, 2011 / Volume 1_5-9_Trends in deaths by each prefecture:Japan / Volume 1_5-10_Trends in death rates (per 1,000 population) by each prefecture:Japan / Volume 1_5-11_Trends in leading causes of death:Japan / Volume 1_5-12_Trends in deaths and death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-13_Trends in deaths and death rates (per 100,000 population) by sex and causes (the condensed list of causes of death for Japan):Japan / Volume 1_5-14_Trends in age-adjusted death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-15_Trends in deaths and death rates (per 100,000 population) by sex, age and causes of death:Japan / Volume 1_5-16_Death rates (per 100,000 population) by sex, age and causes (the condensed list of causes of death for Japan):Japan, 2011 / Volume 1_5-17_Leading causes of death by sex and age:Japan, 2011 / Volume 1_5-18_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan) by month:Japan, 2011 / Volume 1_5-19_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan):Japan, each prefecture and 20 major cities, 2011 / Volume 1_5-20_Leading causes of death:Japan, each prefecture and 20 major cities, 2011 / Volume 1_5-21_Trends in deaths and percent distribution from leading causes of death by sex and place of occurrence:Japan / Volume 1_5-22_Deaths and percent distribution from leading causes of death by sex, age and place of occurrence:Japan, 2011 / Volume 1_5-23_Deaths and percent distribution by causes (the selected list of causes of death for Japan) and type of occupation of household:Japan, 2011 / Volume 1_5-24_Trends in deaths and death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-25_Trends in death rates (per 100,000 population) from malignant neoplasms by sex, age and site:Japan / Volume 1_5-26_Trends in age-adjusted death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-27_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from cerebrovascular diseases by sex and disease type:Japan / Volume 1_5-28_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from heart diseases by sex and disease type:Japan / Volume 1_5-29_Trends in deaths and death rates (per 100,000 population) by causes(the list of infectious diseases):Japan / Volume 1_5-30_Trends in deaths and death rates (per 100,000 population) from accidents by external causes:Japan / Volume 1_5-31_Deaths from accidents by age and external causes:Japan, 2011 / Volume 1_5-32_Percent distribution of deaths from accidents by age and external causes:Japan, 2011 / Volume 1_5-33_Trends in deaths and percent distribution from transportation accidents by external causes:Japan / Volume 1_5-34_Deaths and percent distribution from nontransportation accidents by age and place of occurrence:Japan, 2011 / Volume 1_5-35_Deaths and percent distribution from accidents at home by age and external causes:Japan, 2011 / Volume 1_5-36_Trends in deaths and percent distribution from suicide by sex and external causes:Japan / Volume 1_5-37_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-38_Trends in late maternal deaths and late maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-39_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by each prefecture:Japan / Volume 2_1_Deaths, infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week), by place of occurrence, for urban/rural residence:Japan, each prefecture and 20 major cities / Volume 2_2_Deaths by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 20 major cities / Volume 2_3_Deaths by sex and age:Japan, each prefecture and 20 major cities / Volume 2_4_Deaths by sex and single years of age:Japan, each prefecture and 20 major cities_(1) Total,0-64years / Volume 2_4_Deaths by sex and single years of age:Ja

  9. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Feb 22, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CDC COVID-19 Response, Epidemiology Task Force (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a
    Explore at:
    tsv, application/rssxml, csv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response, Epidemiology Task Force
    Description

    Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

    Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

    Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138. Johnson AG, Linde L, Ali AR, et al. COVID-19 Incidence and Mortality Among Unvaccinated and Vaccinated Persons Aged ≥12 Years by Receipt of Bivalent Booster Doses and Time Since Vaccination — 24 U.S. Jurisdictions, October 3, 2021–December 24, 2022. MMWR Morb Mortal Wkly Rep 2023;72:145–152. Johnson AG, Linde L, Payne AB, et al. Notes from the Field: Comparison of COVID-19 Mortality Rates Among Adults Aged ≥65 Years Who Were Unvaccinated and Those Who Received a Bivalent Booster Dose Within the Preceding 6 Months — 20 U.S. Jurisdictions, September 18, 2022–April 1, 2023. MMWR Morb Mortal Wkly Rep 2023;72:667–669.

  10. c

    Vital Statistics_Vital statistics of Japan_Final data_General...

    • search.ckan.jp
    Updated Nov 27, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DATA GO JP データカタログサイト (2018). Vital Statistics_Vital statistics of Japan_Final data_General mortality_Yearly_2017 [Dataset]. https://search.ckan.jp/datasets/www.data.go.jp_data_dataset:mhlw_20181127_1651
    Explore at:
    Dataset updated
    Nov 27, 2018
    Authors
    DATA GO JP データカタログサイト
    Area covered
    Japan
    Description

    【リソース】Volume 1_5-1_Trends in deaths, death rates (per 1,000 population) by sex and sex ratio:Japan / Volume 1_5-2_Trends in crude death rates and age-adjusted death rates (per 1,000 population) by sex:Japan / Volume 1_5-3_International comparison of crude death rates and age-standardized death rates (per 100,000 population) / Volume 1_5-4_Trends in deaths and death rates (per 1,000 population) by month:Japan / Volume 1_5-5_Trends in deaths by place of occurrence:Japan / Volume 1_5-6_Trends in percent distribution of deaths by place of occurrence:Japan / Volume 1_5-7_Deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2017 / Volume 1_5-8_Percent distribution of deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2017 / Volume 1_5-9_Trends in deaths by each prefecture:Japan / Volume 1_5-10_Trends in death rates (per 1,000 population) by each prefecture:Japan / Volume 1_5-11_Trends in leading causes of death:Japan / Volume 1_5-12_Trends in deaths and death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-13_Trends in deaths and death rates (per 100,000 population) by sex and causes (the condensed list of causes of death for Japan):Japan / Volume 1_5-14_Trends in age-adjusted death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-15_Trends in deaths and death rates (per 100,000 population) by sex, age and causes of death:Japan / Volume 1_5-16_Death rates (per 100,000 population) by sex, age and causes (the condensed list of causes of death for Japan):Japan, 2017 / Volume 1_5-17_Leading causes of death by sex and age:Japan, 2017 / Volume 1_5-18_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan) by month:Japan, 2017 / Volume 1_5-19_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan):Japan, each prefecture and 21 major cities, 2017 / Volume 1_5-20_Leading causes of death:Japan, each prefecture and 21 major cities, 2017 / Volume 1_5-21_Trends in deaths and percent distribution from leading causes of death by sex and place of occurrence:Japan / Volume 1_5-22_Deaths and percent distribution from leading causes of death by sex, age and place of occurrence:Japan, 2017 / Volume 1_5-23_Deaths and percent distribution by causes (the selected list of causes of death for Japan) and type of occupation of household:Japan, 2017 / Volume 1_5-24_Trends in deaths and death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-25_Trends in death rates (per 100,000 population) from malignant neoplasms by sex, age and site:Japan / Volume 1_5-26_Trends in age-adjusted death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-27_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from cerebrovascular diseases by sex and disease type:Japan / Volume 1_5-28_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from heart diseases by sex and disease type:Japan / Volume 1_5-29_Trends in deaths and death rates (per 100,000 population) by causes(the list of infectious diseases):Japan / Volume 1_5-30_Trends in deaths and death rates (per 100,000 population) from accidents by external causes:Japan / Volume 1_5-31_Deaths from accidents by age and external causes:Japan, 2017 / Volume 1_5-32_Percent distribution of deaths from accidents by age and external causes:Japan, 2017 / Volume 1_5-33_Trends in deaths and percent distribution from transportation accidents by external causes:Japan / Volume 1_5-34_Deaths and percent distribution from nontransportation accidents by age and place of occurrence:Japan, 2017 / Volume 1_5-35_Deaths and percent distribution from accidents at home by age and external causes:Japan, 2017 / Volume 1_5-36_Trends in deaths and percent distribution from suicide by sex and external causes:Japan / Volume 1_5-37_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-38_Trends in late maternal deaths and late maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-39_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by each prefecture:Japan / Volume 2_1_Deaths, infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week), by place of occurrence, for urban/rural residence:Japan, each prefecture and 21 major cities / Volume 2_2_Deaths by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Deaths by sex and age:Japan, each prefecture and 21 major cities / Volume 2_4_Deaths by sex and single years of age:Japan, each prefecture and 21 major cities_(1) Total,0-64years / Volume 2_4_Deaths by sex and single years of age:Japan, each p

  11. g

    Infant Mortality Rate

    • globalmidwiveshub.org
    • global-midwives-hub-directrelief.hub.arcgis.com
    • +1more
    Updated Jun 1, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Direct Relief (2021). Infant Mortality Rate [Dataset]. https://www.globalmidwiveshub.org/datasets/infant-mortality-rate
    Explore at:
    Dataset updated
    Jun 1, 2021
    Dataset authored and provided by
    Direct Relief
    Area covered
    Description

    The probability of dying between birth and the exact age of 1, expressed per 1,000 live births. The data is sorted by both sex and total and includes a range of values from 1900 to 2019. The calculation for infant mortality rates is derived from a standard period abridged life table using the age-specific deaths and mid-year population counts from civil registration data. This data is sourced from the UN Inter-Agency Group for Child Mortality Estimation. The UN IGME uses the same estimation method across all countries to arrive at a smooth trend curve of age-specific mortality rates. The estimates are based on high quality nationally representative data including statistics from civil registration systems, results from household surveys, and censuses. The child mortality estimates are produced in conjunction with national level agencies such as a country’s Ministry of Health, National Statistics Office, or other relevant agencies.

  12. c

    Vital Statistics_Vital statistics of Japan_Final data_General...

    • search.ckan.jp
    Updated May 21, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DATA GO JP データカタログサイト (2018). Vital Statistics_Vital statistics of Japan_Final data_General mortality_Yearly_2016 [Dataset]. https://search.ckan.jp/datasets/www.data.go.jp_data_dataset:mhlw_20180521_0037
    Explore at:
    Dataset updated
    May 21, 2018
    Authors
    DATA GO JP データカタログサイト
    Area covered
    Japan
    Description

    【リソース】Volume 1_5-1_Trends in deaths, death rates (per 1,000 population) by sex and sex ratio:Japan / / Volume 1_5-2_Trends in crude death rates and age-adjusted death rates (per 1,000 population) by sex:Japan / Volume 1_5-3_International comparison of crude death rates and age-standardized death rates (per 100,000 population), 2016 / Volume 1_5-4_Trends in deaths and death rates (per 1,000 population) by month:Japan / Volume 1_5-5_Trends in deaths by place of occurrence:Japan / Volume 1_5-6_Trends in percent distribution of deaths by place of occurrence:Japan / Volume 1_5-7_Deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2016 / Volume 1_5-8_Percent distribution of deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2016 / Volume 1_5-9_Trends in deaths by each prefecture:Japan / Volume 1_5-10_Trends in death rates (per 1,000 population) by each prefecture:Japan / Volume 1_5-11_Trends in leading causes of death:Japan / Volume 1_5-12_Trends in deaths and death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-13_Trends in deaths and death rates (per 100,000 population) by sex and causes (the condensed list of causes of death for Japan):Japan / Volume 1_5-14_Trends in age-adjusted death rates (per 100,000 population) by sex and causes of death:Japan / Volume 1_5-15_Trends in deaths and death rates (per 100,000 population) by sex, age and causes of death:Japan / Volume 1_5-16_Death rates (per 100,000 population) by sex, age and causes (the condensed list of causes of death for Japan):Japan, 2016 / Volume 1_5-17_Leading causes of death by sex and age:Japan, 2016 / Volume 1_5-18_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan) by month:Japan, 2016 / Volume 1_5-19_Death rates (per 100,000 population) by causes (the condensed list of causes of death for Japan):Japan, each prefecture and 21 major cities, 2016 / Volume 1_5-20_Leading causes of death:Japan, each prefecture and 21 major cities, 2016 / Volume 1_5-21_Trends in deaths and percent distribution from leading causes of death by sex and place of occurrence:Japan / Volume 1_5-22_Deaths and percent distribution from leading causes of death by sex, age and place of occurrence:Japan, 2016 / Volume 1_5-23_Deaths and percent distribution by causes (the selected list of causes of death for Japan) and type of occupation of household:Japan, 2016 / Volume 1_5-24_Trends in deaths and death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-25_Trends in death rates (per 100,000 population) from malignant neoplasms by sex, age and site:Japan / Volume 1_5-26_Trends in age-adjusted death rates (per 100,000 population) from malignant neoplasms by sex and site:Japan / Volume 1_5-27_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from cerebrovascular diseases by sex and disease type:Japan / Volume 1_5-28_Trends in deaths, percent distribution, crude death rates and age-adjusted death rates (per 100,000 population) from heart diseases by sex and disease type:Japan / Volume 1_5-29_Trends in deaths and death rates (per 100,000 population) by causes(the list of infectious diseases):Japan / Volume 1_5-30_Trends in deaths and death rates (per 100,000 population) from accidents by external causes:Japan / Volume 1_5-31_Deaths from accidents by age and external causes:Japan, 2016 / Volume 1_5-32_Percent distribution of deaths from accidents by age and external causes:Japan, 2016 / Volume 1_5-33_Trends in deaths and percent distribution from transportation accidents by external causes:Japan / Volume 1_5-34_Deaths and percent distribution from nontransportation accidents by age and place of occurrence:Japan, 2016 / Volume 1_5-35_Deaths and percent distribution from accidents at home by age and external causes:Japan, 2016 / Volume 1_5-36_Trends in deaths and percent distribution from suicide by sex and external causes:Japan / Volume 1_5-37_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-38_Trends in late maternal deaths and late maternal mortality rates (per 100,000 total births) by causes of death:Japan / Volume 1_5-39_Trends in maternal deaths and maternal mortality rates (per 100,000 total births) by each prefecture:Japan / Volume 2_1_Deaths, infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week), by place of occurrence, for urban/rural residence:Japan, each prefecture and 21 major cities / Volume 2_2_Deaths by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Deaths by sex and age:Japan, each prefecture and 21 major cities / Volume 2_4_Deaths by sex and single years of age:Japan, each prefecture and 21 major cities / Volume 2_4_Deaths by sex and single years of age:Japan, each prefecture

  13. B

    Brazil BR: Suicide Mortality Rate: per 100,000 Population

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Brazil BR: Suicide Mortality Rate: per 100,000 Population [Dataset]. https://www.ceicdata.com/en/brazil/social-health-statistics/br-suicide-mortality-rate-per-100000-population
    Explore at:
    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
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Brazil
    Description

    Brazil BR: Suicide Mortality Rate: per 100,000 Population data was reported at 7.590 Ratio in 2021. This records an increase from the previous number of 6.930 Ratio for 2020. Brazil BR: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 5.450 Ratio from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 7.590 Ratio in 2021 and a record low of 4.230 Ratio in 2000. Brazil BR: Suicide Mortality Rate: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].

  14. Death Statistics

    • data.gov.hk
    Updated Jul 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.gov.hk (2024). Death Statistics [Dataset]. https://data.gov.hk/en-data/dataset/hk-dh-dh_ncddhss-ncdd-dataset-3
    Explore at:
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    data.gov.hk
    Description

    Death statistics (i) Number of Deaths for Different Sexes and Crude Death Rate for the Period from 1981 to 2023 (ii) Age-standardised Death Rate (Overall and by Sex) for the Period from 1981 to 2023 (iii) Age-specific Death Rate for Year 2013 and 2023 (iv) Death Rates by Leading Causes of Death for the Period from 2001 to 2023 (v) Number of Deaths by Leading Causes of Death for the Period from 2001 to 2023 (vi) Age-standardised Death Rates by Leading Causes of Death for the Period from 2001 to 2023 (vii) Late Foetal Mortality Rate for the Period from 1981 to 2023 (viii) Perinatal Mortality Rate for the Period from 1981 to 2023 (ix) Neonatal Mortality Rate for the Period from 1981 to 2023 (x) Infant Mortality Rate for the Period from 1981 to 2023 (xi) Number of Maternal Deaths for the Period from 1981 to 2023 (xii) Maternal Mortality Ratio for the Period from 1981 to 2023

  15. Mortality rate in India 2023, by gender

    • statista.com
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Mortality rate in India 2023, by gender [Dataset]. https://www.statista.com/statistics/976090/adult-mortality-rate-in-india-by-gender/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The statistic shows the adult mortality rate in India from 2013 to 2023, by gender. According to the source, the adult mortality rate is the probability of dying between the ages of 15 and 60 - that is, the probability of a 15-year-old dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. In 2023, the mortality rate for women was at ****** per 1,000 female adults, while the mortality rate for men was at ****** per 1,000 male adults in India.

  16. f

    Negative binomial regression models estimating associations between area...

    • plos.figshare.com
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

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

    Description

    Note: MRR = Mortality Rate Ratio; CI = confidence interval.Among ≥ 25 years of age. Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics (NCHS), 2004–2009. All models adjusted for individual age, sex, year of death, and Census region; area characteristics at the designated market area (DMA) level (urbanicity, % Black, % high school education among Blacks, Black poverty rate) from the American Community Survey, 2004–2009; and corresponding DMA-level White cause-specific mortality rates per 100,000 person-years from NCHS.Negative binomial regression models estimating associations between area racism and Black cause-specific mortality rates.

  17. n

    Data from: A ten-year (2009–2018) database of cancer mortality rates in...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Oct 24, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Arianna Di Paola; Roberto Cazzolla Gatti; Alfonso Monaco; Alena Velichevskaya; Nicola Amoroso; Roberto Bellotti (2022). A ten-year (2009–2018) database of cancer mortality rates in Italy [Dataset]. http://doi.org/10.5061/dryad.ns1rn8pvg
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 24, 2022
    Dataset provided by
    University of Bologna
    Istituto Nazionale di Fisica Nucleare, Sezione di Bari
    National Research Tomsk State University
    University of Bari Aldo Moro
    Italian National Research Council
    Authors
    Arianna Di Paola; Roberto Cazzolla Gatti; Alfonso Monaco; Alena Velichevskaya; Nicola Amoroso; Roberto Bellotti
    License

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

    Area covered
    Italy
    Description

    AbstractIn Italy, approximately 400.000 new cases of malignant tumors are recorded every year. The average of annual deaths caused by tumors, according to the Italian Cancer Registers, is about 3.5 deaths and about 2.5 per 1,000 men and women respectively, for a total of about 3 deaths every 1,000 people. Long-term (at least a decade) and spatially detailed data (up to the municipality scale) are neither easily accessible nor fully available for public consultation by the citizens, scientists, research groups, and associations. Therefore, here we present a ten-year (2009–2018) database on cancer mortality rates (in the form of Standardized Mortality Ratios, SMR) for 23 cancer macro-types in Italy on municipal, provincial, and regional scales. We aim to make easily accessible a comprehensive, ready-to-use, and openly accessible source of data on the most updated status of cancer mortality in Italy for local and national stakeholders, researchers, and policymakers and to provide researchers with ready-to-use data to perform specific studies. Methods For a given locality, year, and cause of death, the SMR is the ratio between the observed number of deaths (Om) and the number of expected deaths (Em): SMR = Om/Em (1) where Om should be an available observational data and Em is estimated as the weighted sum of age-specific population size for the given locality (ni) per age-specific death rates of the reference population (MRi): Em = sum(MRi x ni) (2) MRi could be provided by a public health organization or be estimated as the ratio between the age-specific number of deaths of reference population (Mi) to the age-specific reference population size (Ni): MRi = Mi/Ni (3) Thus, the value of Em is weighted by the age distribution of deaths and population size. SMR assumes value 1 when the number of observed and expected deaths are equal. Following eqns. (1-3), the SMR was computed for single years of the period 2009-2018 and for single cause of death as defined by the International ICD-10 classification system by using the following data: age-specific number of deaths by cause of reference population (i.e., Mi) from the Italian National Institute of Statistics (ISTAT, (http://www.istat.it/en/, last access: 26/01/2022)); age-specific census data on reference population (i.e., Ni) from ISTAT; the observed number of deaths by cause (i.e., Om) from ISTAT; the age-specific census data on population (ni); the SMR was estimated at three different level of aggregation: municipal, provincial (equivalent to the European classification NUTS 3) and regional (i.e., NUTS2). The SMR was also computed for the broad category of malignant tumors (i.e. C00-C979, hereinafter cancer macro-type C), and for the broad category of malignant tumor plus non-malignant tumors (i.e. C00-C979 plus D0-D489, hereinafter cancer macro-type CD). Lower 90% and 95% confidence intervals of 10-year average values were computed according to the Byar method.

  18. Cuba CU: Suicide Mortality Rate: per 100,000 Population

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Cuba CU: Suicide Mortality Rate: per 100,000 Population [Dataset]. https://www.dr.ceicdata.com/en/cuba/social-health-statistics/cu-suicide-mortality-rate-per-100000-population
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Cuba
    Description

    Cuba CU: Suicide Mortality Rate: per 100,000 Population data was reported at 13.790 Ratio in 2021. This records a decrease from the previous number of 14.610 Ratio for 2020. Cuba CU: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 13.860 Ratio from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 17.270 Ratio in 2000 and a record low of 12.210 Ratio in 2007. Cuba CU: Suicide Mortality Rate: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].

  19. Adjusted Hazard ratio for CHD mortality by quartiles of SD of serum uric...

    • figshare.com
    xls
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chagai Grossman; Ehud Grossman; Uri Goldbourt (2023). Adjusted Hazard ratio for CHD mortality by quartiles of SD of serum uric acid variability. [Dataset]. http://doi.org/10.1371/journal.pone.0220532.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chagai Grossman; Ehud Grossman; Uri Goldbourt
    License

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

    Description

    Adjusted Hazard ratio for CHD mortality by quartiles of SD of serum uric acid variability.

  20. Nested negative binomial regression models estimating associations with...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link (2023). Nested negative binomial regression models estimating associations with Black all-cause mortality rates. [Dataset]. http://doi.org/10.1371/journal.pone.0122963.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David H. Chae; Sean Clouston; Mark L. Hatzenbuehler; Michael R. Kramer; Hannah L. F. Cooper; Sacoby M. Wilson; Seth I. Stephens-Davidowitz; Robert S. Gold; Bruce G. Link
    License

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

    Description

    Note: MRR = Mortality Rate Ratio; CI = confidence interval; AIC = Akaike Information Criteria; RL = Relative Likelihood.Among ≥ 25 years of age. Race-specific age and sex-adjusted mortality rates weighted using the US 2000 standard population per 100,000 person-years from death certificates and mid-year population counts collated by the National Center for Health Statistics, 2004–2009. Area characteristics at the designated market area level from the American Community Survey, 2004–2009 for urbanicity (% living in a city with ≥ 50,000 people); % Black; education among Blacks (% with up to high school education); and poverty among Blacks (% households in poverty). All models adjusted for individual age, sex, year of death, and Census region.Nested negative binomial regression models estimating associations with Black all-cause mortality rates.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Government of Canada, Statistics Canada (2025). Age-standardized mortality rate by leading cause of death and sex [Dataset]. http://doi.org/10.25318/1310080001-eng
Organization logo

Age-standardized mortality rate by leading cause of death and sex

1310080002

Explore at:
Dataset updated
Feb 19, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Number of deaths, crude mortality rates and age standardized mortality rates (based on 2011 population) for selected grouped causes, by sex. Data are available beginning from 2000.

Search
Clear search
Close search
Google apps
Main menu