29 datasets found
  1. Leading causes of death among Black U.S. residents from 2020 to 2022

    • statista.com
    Updated Dec 13, 2024
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    Statista (2024). Leading causes of death among Black U.S. residents from 2020 to 2022 [Dataset]. https://www.statista.com/statistics/233310/distribution-of-the-10-leading-causes-of-death-among-african-americans/
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The leading causes of death among Black residents in the United States in 2022 included diseases of the heart, cancer, unintentional injuries, and stroke. The leading causes of death for African Americans generally reflects the leading causes of death for the entire United States population. However, a major exception is that death from assault or homicide is the seventh leading cause of death among African Americans, but is not among the ten leading causes for the general population. Homicide among African Americans The homicide rate among African Americans has been higher than that of other races and ethnicities for many years. In 2023, around 9,284 Black people were murdered in the United States, compared to 7,289 white people. A majority of these homicides are committed with firearms, which are easily accessible in the United States. In 2022, around 14,189 Black people died by firearms. However, suicide deaths account for over half of all deaths from firearms in the United States. Cancer disparities There are also major disparities in access to health care and the impact of various diseases. For example, the incidence rate of cancer among African American males is the greatest among all ethnicities and races. Furthermore, although the incidence rate of cancer is lower among African American women than it is among white women, cancer death rates are still higher among African American women.

  2. Leading Causes of Death

    • data-sccphd.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 22, 2018
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    Santa Clara County Public Health (2018). Leading Causes of Death [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/leading-causes-of-death
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    Dataset updated
    Feb 22, 2018
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Earth
    Description

    According to the NCHS classification, the leading causes of death are provided for the total Santa Clara County population and by race/ethnicity and sex. Data are for Santa Clara County residents.Data trends are from year 2007 to 2016. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017.METADATA:Notes (String): Lists table title, sourceYear (Numeric): Year of death Category (String): Lists the category representing the data: Santa Clara County is for total population, sex: Male and Female, and race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only).Causes of death (String): Cause-of-death were coded using the Tenth Revision of the International Classification of Diseases codes (ICD-10). Causes are classified according to the Centers for Disease Control and Prevention, National Center for Health Statistics, Leading causes of death methodology.Count (Numeric): Number of deaths per cause of deathPercentage (Numeric): Percentage of deaths per cause of death out of total deaths in that year. Percentage value less than 1 is replaced by '<1'.

  3. Leading causes of death among the white population in the United States...

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Leading causes of death among the white population in the United States 2020-2022 [Dataset]. https://www.statista.com/statistics/233304/distribution-of-the-10-leading-causes-of-death-among-whites-in-2016/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The leading causes of death among the white population of the United States are cardiovascular diseases and cancer. Cardiovascular diseases and cancer accounted for a combined **** percent of all deaths among this population in 2022. In 2020 and 2021, COVID-19 was the third leading cause of death among white people. Disparities in causes of death In the United States, there exist disparities in the leading causes of death based on race and ethnicity. For example, chronic liver disease and cirrhosis is the ***** leading cause of death among the white population and the ****** among the Hispanic population, but is not among the ten leading causes for Black people. On the other hand, homicide is the ******* leading cause of death among the Black population, but is not among the 10 leading causes for whites or Hispanics. However, cardiovascular diseases and cancer by far account for the highest share of deaths for every race and ethnicity. Diseases of despair The American Indian and Alaska Native population in the United States has the highest rates of death from suicide, drug overdose, and alcohol. Together, these three behavior-related conditions are often referred to as diseases of despair. Asians have by far the lowest rates of death due to drug overdose and alcohol, as well as slightly lower rates of suicide.

  4. Leading causes of death in the United States 2022

    • statista.com
    • ai-chatbox.pro
    Updated Apr 11, 2025
    + more versions
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    Statista (2025). Leading causes of death in the United States 2022 [Dataset]. https://www.statista.com/statistics/248619/leading-causes-of-death-in-the-us/
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    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    Heart disease is currently the leading cause of death in the United States. In 2022, COVID-19 was the fourth leading cause of death in the United States, accounting for almost six percent of all deaths that year. The leading causes of death worldwide are similar to those in the United States. However, diarrheal diseases and neonatal conditions are major causes of death worldwide, but are not among the leading causes in the United States. Instead, accidents and chronic liver disease have a larger impact in the United States.

    Racial differences

    In the United States, there exist slight differences in leading causes of death depending on race and ethnicity. For example, assault, or homicide, accounts for around three percent of all deaths among the Black population but is not even among the leading causes of death for other races and ethnicities. However, heart disease and cancer are still the leading causes of death for all races and ethnicities.

    Leading causes of death among men vs women

    Similarly, there are also differences in the leading causes of death in the U.S. between men and women. For example, among men, intentional self-harm accounts for around two percent of all deaths but is not among the leading causes of death among women. On the other hand, influenza and pneumonia account for more deaths among women than men.

  5. Male death rate for homicide in the U.S. 1950-2016 by ethnicity

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Male death rate for homicide in the U.S. 1950-2016 by ethnicity [Dataset]. https://www.statista.com/statistics/187603/male-death-rate-from-homicide-in-the-us-by-ethnicity-since-1950/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    African American males in the United States are much more likely to die from homicide than white males. In 2016, the death rate by homicide for African American males was ** per 100,000 population, compared to a rate of just *** per 100,000 population for white males. African American males are twice as likely to die from firearm-related injuries than white males, with handguns involved in the largest share of homicides in the U.S. Homicide as a leading cause of death While the leading causes of death for black and white residents in the U.S. are similar in many ways, there are two distinct differences. Homicide is not in the leading 10 causes of death among whites, but it is the ******* leading cause of death for blacks, accounting for around ***** percent of all deaths in this group. However, suicide is the ***** leading cause of death among whites, while it is not included in the ** leading causes of death for blacks. Death rates Overall, the death rate in the United States is higher among non-Hispanic whites than any other ethnicity. Furthermore, males across all ethnicities in the U.S. have higher death rates than females. The *** leading causes of death for every ethnicity in the U.S. are cancer and heart disease.

  6. O

    COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE

    • data.ct.gov
    • s.cnmilf.com
    • +1more
    application/rdfxml +5
    Updated Jun 24, 2022
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    Department of Public Health (2022). COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE [Dataset]. https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-and-Deaths-by-Race-Ethnicity-ARCHIV/7rne-efic
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    xml, tsv, csv, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Jun 24, 2022
    Dataset authored and provided by
    Department of Public Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve.

    The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj.

    The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 .

    The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 .

    The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed.

    COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken down by race and ethnicity. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the COVID-19 update.

    The following data show the number of COVID-19 cases and associated deaths per 100,000 population by race and ethnicity. Crude rates represent the total cases or deaths per 100,000 people. Age-adjusted rates consider the age of the person at diagnosis or death when estimating the rate and use a standardized population to provide a fair comparison between population groups with different age distributions. Age-adjustment is important in Connecticut as the median age of among the non-Hispanic white population is 47 years, whereas it is 34 years among non-Hispanic blacks, and 29 years among Hispanics. Because most non-Hispanic white residents who died were over 75 years of age, the age-adjusted rates are lower than the unadjusted rates. In contrast, Hispanic residents who died tend to be younger than 75 years of age which results in higher age-adjusted rates.

    The population data used to calculate rates is based on the CT DPH population statistics for 2019, which is available online here: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Population-Statistics. Prior to 5/10/2021, the population estimates from 2018 were used.

    Rates are standardized to the 2000 US Millions Standard population (data available here: https://seer.cancer.gov/stdpopulations/). Standardization was done using 19 age groups (0, 1-4, 5-9, 10-14, ..., 80-84, 85 years and older). More information about direct standardization for age adjustment is available here: https://www.cdc.gov/nchs/data/statnt/statnt06rv.pdf

    Categories are mutually exclusive. The category “multiracial” includes people who answered ‘yes’ to more than one race category. Counts may not add up to total case counts as data on race and ethnicity may be missing. Age adjusted rates calculated only for groups with more than 20 deaths. Abbreviation: NH=Non-Hispanic.

    Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical examiner) using their best clinical judgment. Additionally, all COVID-19 deaths, including suspected or related, are required to be reported to OCME. On April 4, 2020, CT DPH and OCME released a joint memo to providers and facilities within Connecticut providing guidelines for certifying deaths due to COVID-19 that were consistent with the CDC’s guidelines and a reminder of the required reporting to OCME.25,26 As of July 1, 2021, OCME had reviewed every case reported and performed additional investigation on about one-third of reported deaths to better ascertain if COVID-19 did or did not cause or contribute to the death. Some of these investigations resulted in the OCME performing postmortem swabs for PCR testing on individuals whose deaths were suspected to be due to COVID-19, but antemortem diagnosis was unable to be made.31 The OCME issued or re-issued about 10% of COVID-19 death certificates and, when appropriate, removed COVID-19 from the death certificate. For standardization and tabulation of mortality statistics, written cause of death statements made by the certifiers on death certificates are sent to the National Center for Health Statistics (NCHS) at the CDC which assigns cause of death codes according to the International Causes of Disease 10th Revision (ICD-10) classification system.25,26 COVID-19 deaths in this report are defined as those for which the death certificate has an ICD-10 code of U07.1 as either a primary (underlying) or a contributing cause of death. More information on COVID-19 mortality can be found at the following link: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Mortality/Mortality-Statistics

    Data are subject to future revision as reporting changes.

    Starting in July 2020, this dataset will be updated every weekday.

    Additional notes: A delay in the data pull schedule occurred on 06/23/2020. Data from 06/22/2020 was processed on 06/23/2020 at 3:30 PM. The normal data cycle resumed with the data for 06/23/2020.

    A network outage on 05/19/2020 resulted in a change in the data pull schedule. Data from 5/19/2020 was processed on 05/20/2020 at 12:00 PM. Data from 5/20/2020 was processed on 5/20/2020 8:30 PM. The normal data cycle resumed on 05/20/2020 with the 8:30 PM data pull. As a result of the network outage, the timestamp on the datasets on the Open Data Portal differ from the timestamp in DPH's daily PDF reports.

    Starting 5/10/2021, the date field will represent the date this data was updated on data.ct.gov. Previously the date the data was pulled by DPH was listed, which typically coincided with the date before the data was published on data.ct.gov. This change was made to standardize the COVID-19 data sets on data.ct.gov.

  7. a

    Leading causes of injury death

    • hub.arcgis.com
    Updated Feb 23, 2018
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    Santa Clara County Public Health (2018). Leading causes of injury death [Dataset]. https://hub.arcgis.com/maps/sccphd::leading-causes-of-injury-death
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    Dataset updated
    Feb 23, 2018
    Dataset authored and provided by
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Earth
    Description

    Leading causes of injury death (by percentage) by sex, race/ethnicity, age; trends if available. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017.METADATA:Notes (String): Lists table title, notes and sourcesYear (Numeric): Year of dataCategory (String): Lists the category representing the data: Santa Clara County is for total population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); age categories as follows: <1, 1 to 14, 15 to 24, 25 to 44, 45 to 64, 65 and older.Causes of injury death (String): Leading causes of injury deathPercent (Numeric): Percentage is the number of injury deaths from specified cause per 100 deaths in a year

  8. Death rate for heart disease U.S. adults 2000-2020, by ethnicity

    • statista.com
    • ai-chatbox.pro
    Updated May 8, 2023
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    Statista (2023). Death rate for heart disease U.S. adults 2000-2020, by ethnicity [Dataset]. https://www.statista.com/statistics/1381172/heart-disease-death-rate-adults-race-ethnicity-us/
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    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2020, the death rate for heart disease among non-Hispanic Black adults aged 25 to 44 years was 39.5 per 100,000 population. Heart disease is the leading cause of death in the United States. This statistic shows the death rate for heart disease among people aged 25 to 44 in the United States from 2000 to 2020, by race/ethnicity.

  9. f

    Location of death by urbanization level and race with number of deaths and...

    • plos.figshare.com
    xls
    Updated Apr 9, 2025
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    Jason K. Lim; Jenlu Pagnotta; Richard Lee; Do H. Lim; Jeffrey M. Breton; Zachary A. Abecassis; Raymond M. Meyer; Jeffrey C. Mai; Michael R. Levitt (2025). Location of death by urbanization level and race with number of deaths and percentage in parentheses. NaN =  missing or unidentified data due to less than 20 sample size. [Dataset]. http://doi.org/10.1371/journal.pone.0319867.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jason K. Lim; Jenlu Pagnotta; Richard Lee; Do H. Lim; Jeffrey M. Breton; Zachary A. Abecassis; Raymond M. Meyer; Jeffrey C. Mai; Michael R. Levitt
    License

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

    Description

    Location of death by urbanization level and race with number of deaths and percentage in parentheses. NaN =  missing or unidentified data due to less than 20 sample size.

  10. U.S. neonatal and postneonatal mortality rates in 2023, by race/ethnicity

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. neonatal and postneonatal mortality rates in 2023, by race/ethnicity [Dataset]. https://www.statista.com/statistics/1037189/neonatal-and-postneonatal-mortality-rates-us-by-ethnicity/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Non-Hispanic Black women had the highest rate of infant mortality in the U.S. in 2023. In that year, there were almost ** infant deaths per 1,000 live births among Black women. Leading causes of infant mortality in the U.S. include congenital malformations, disorders related to short gestation and low birth weight, maternal complications, and sudden infant death syndrome.

  11. U.S. infant mortality rate by state 2022

    • ai-chatbox.pro
    • statista.com
    Updated Sep 16, 2024
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    John Elflein (2024). U.S. infant mortality rate by state 2022 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F8656%2Fhealth-of-us-states%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Sep 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Area covered
    United States
    Description

    In 2022, the state of Mississippi had the highest infant mortality rate in the United States, with around 9.11 deaths per 1,000 live births. Infant mortality is the death of an infant before the age of one. The countries with the lowest infant mortality rates worldwide are Slovenia, Singapore, and Iceland. The countries with the highest infant mortality rates include Afghanistan, Somalia, and the Central African Republic. Causes of infant mortality Rates and causes of infant mortality are different depending on the country and region. However, the leading causes of neonatal deaths include preterm birth complications, intrapartum-related events, and sepsis. The leading causes of death among children aged 1 to 59 months are pneumonia, diarrhea, and injury. In the United States The infant mortality rate in the United States has decreased over the past few decades, reaching a low of 5.4 deaths per 1,000 live births in 2021. The most common causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2022, congenital malformations accounted for around 108 infant deaths per 100,000 live births.

  12. Road Traffic Injuries

    • healthdata.gov
    • data.ca.gov
    • +3more
    application/rdfxml +5
    Updated Apr 8, 2025
    + more versions
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    chhs.data.ca.gov (2025). Road Traffic Injuries [Dataset]. https://healthdata.gov/State/Road-Traffic-Injuries/ezbv-5imz
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    csv, tsv, application/rdfxml, application/rssxml, json, xmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    chhs.data.ca.gov
    Description

    This table contains data on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode, for California, its regions, counties, county divisions, cities/towns, and census tracts. Injury data is from the Statewide Integrated Traffic Records System (SWITRS), California Highway Patrol (CHP), 2002-2010 data from the Transportation Injury Mapping System (TIMS) . The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity]. Transportation accidents are the second leading cause of death in California for people under the age of 45 and account for an average of 4,018 deaths per year (2006-2010). Risks of injury in traffic collisions are greatest for motorcyclists, pedestrians, and bicyclists and lowest for bus and rail passengers. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience 4 times the death rate as Whites or Asians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

  13. Hispanic Established Populations for Epidemiologic Studies of the Elderly,...

    • icpsr.umich.edu
    • search.datacite.org
    ascii, delimited, sas +2
    Updated Nov 25, 2009
    + more versions
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    Markides, Kyriakos S.; Ray, Laura A. (2009). Hispanic Established Populations for Epidemiologic Studies of the Elderly, Wave IV, 2000-2001 [Arizona, California, Colorado, New Mexico, and Texas] [Dataset]. http://doi.org/10.3886/ICPSR04314.v2
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    ascii, stata, sas, delimited, spssAvailable download formats
    Dataset updated
    Nov 25, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Markides, Kyriakos S.; Ray, Laura A.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4314/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4314/terms

    Time period covered
    2000 - 2001
    Area covered
    Texas, California, New Mexico, Colorado, United States, Arizona
    Description

    This dataset comprises the third follow-up of the baseline Hispanic EPESE, HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS, and provides information on 1,682 of the original respondents. The Hispanic EPESE collected data on a representative sample of community-dwelling Mexican-American elderly, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas. The primary purpose of the series was to provide estimates of the prevalence of key physical health conditions, mental health conditions, and functional impairments in older Mexican Americans and to compare these estimates with those for other populations. The Hispanic EPESE attempted to determine whether certain risk factors for mortality and morbidity operate differently in Mexican Americans than in non-Hispanic White Americans, African Americans, and other major ethnic groups. The public-use data cover background characteristics (age, sex, type of Hispanic race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of dental, hospital, and nursing home services, and depression. The follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization and other changes in living arrangements, as well as changes in life situations and quality of life issues. The vital status of respondents from baseline to this round of the survey may be determined using the Vital Status file (Part 2). This file contains interview dates from the baseline as well as vital status at Wave IV (respondent survived, date of death if deceased, proxy-assisted, proxy-reported cause of death, proxy-true). The first follow-up of the baseline data (Hispanic EPESE Wave II, 1995-1996 [ICPSR 3385]) followed 2,438 of the original 3,050 respondents, and the second follow-up (Hispanic EPESE Wave III, 1998-1999 [ICPSR 4102]) followed 1,980 of these respondents. Hispanic EPESE, 1993-1994 (ICPSR 2851), was modeled after the design of ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1981-1993: EAST BOSTON, MASSACHUSETTS, IOWA AND WASHINGTON COUNTIES, IOWA, NEW HAVEN, CONNECTICUT, AND NORTH CENTRAL NORTH CAROLINA and ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1996-1997: PIEDMONT HEALTH SURVEY OF THE ELDERLY, FOURTH IN-PERSON SURVEY DURHAM, WARREN, VANCE, GRANVILLE, AND FRANKLIN COUNTIES, NORTH CAROLINA.

  14. c

    The global Yellow Fever Vaccine market size will be USD 4528.5 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
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    Cognitive Market Research (2025). The global Yellow Fever Vaccine market size will be USD 4528.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/yellow-fever-vaccine-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Yellow Fever Vaccine market size will be USD 4528.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 1811.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1358.55 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1041.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 226.43 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 90.57 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
    The Sylvatic Yellow Fever category is the fastest-growing segment of the Yellow Fever Vaccine industry
    

    Market Dynamics of Yellow Fever Vaccine Market

    Key Drivers for Yellow Fever Vaccine Market

    Rising Incidence of Yellow Fever to Boost Market Growth

    Yellow fever is a potentially fatal viral disease spread by infected mosquitoes. According to the World Health Organization (WHO), as of 2023, 34 countries in Africa and 13 in Central and South America are either endemic or have endemic regions for yellow fever. Between August 26 and November 29, 2022, 22 additional confirmed cases were reported across ten countries. However, after a retrospective review, only seven new confirmed cases and one death were identified. Since 2021, in the WHO African Region, a total of 203 confirmed cases and 252 probable cases of yellow fever have been reported, with 40 deaths, resulting in a case fatality rate (CFR) of 9%. Among the confirmed cases, 23 deaths were recorded, reflecting a CFR of 11%. The high CFR among confirmed cases remained consistent, with 17 deaths (11%) in 2021 and six deaths (12%) in 2022. This increasing disease burden is driving significant demand for yellow fever vaccines, especially in endemic areas. Recent severe outbreaks in Brazil, Angola, and the Democratic Republic of Congo have intensified global awareness and the need for preventive measures, further stimulating the vaccine market.

    Expansion of Vaccination Programs to Drive Market Growth

    In 2017, the WHO, in collaboration with UNICEF and Gavi, the Vaccine Alliance, launched the EYE Strategy to protect at-risk populations in 40 countries across Africa and the Americas through mass vaccination campaigns and by ensuring a sustainable vaccine supply. Since the start of the current outbreak (2021 to December 7, 2022), a total of 4,385,320 people have been vaccinated in five countries—Cameroon, the Central African Republic, Chad, Ghana, and Kenya—through the ICG-supported response. A reactive campaign in Kembe Satema, Central African Republic, from November 2 to 19, 2022, achieved 101.7% coverage, while a campaign in Bambari, which ended on November 23, 2022, reached 87.7% coverage based on preliminary results. These efforts have accelerated vaccine deployment and expanded immunization programs, providing growth opportunities for vaccine manufacturers. Additionally, many countries in yellow fever-endemic regions have incorporated the vaccine into their national immunization schedules, ensuring steady demand. In several African and South American nations, yellow fever vaccination is mandatory for children, further boosting the market.

    Restraint Factor for the Yellow Fever Vaccine Market

    Vaccine Supply Shortages and High-Cost Will Limit Market Growth

    Yellow fever vaccine production is concentrated among a limited number of manufacturers, leading to supply bottlenecks. This has caused periodic shortages, especially during large-scale outbreaks when demand surges. The production of the live-attenuated vaccine is complex, relying on chicken embryos for cultivation, which limits the ability to rapidly scale up production. In sudden outbreaks, vaccine demand often exceeds supply. The global stockpile maintained by the World Health Organization (WHO) is sometimes insufficient t...

  15. f

    DataSheet_1_Association Between Tumor Mutation Profile and Clinical Outcomes...

    • figshare.com
    • frontiersin.figshare.com
    docx
    Updated Jun 5, 2023
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    Alexander Philipovskiy; Reshad Ghafouri; Alok Kumar Dwivedi; Luis Alvarado; Richard McCallum; Felipe Maegawa; Ioannis T. Konstantinidis; Nawar Hakim; Scott Shurmur; Sanjay Awasthi; Sumit Gaur; Javier Corral (2023). DataSheet_1_Association Between Tumor Mutation Profile and Clinical Outcomes Among Hispanic-Latino Patients With Metastatic Colorectal Cancer.docx [Dataset]. http://doi.org/10.3389/fonc.2021.772225.s001
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    docxAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Frontiers
    Authors
    Alexander Philipovskiy; Reshad Ghafouri; Alok Kumar Dwivedi; Luis Alvarado; Richard McCallum; Felipe Maegawa; Ioannis T. Konstantinidis; Nawar Hakim; Scott Shurmur; Sanjay Awasthi; Sumit Gaur; Javier Corral
    License

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

    Description

    In the United States, CRC is the third most common type of cancer and the second leading cause of cancer-related death. Although the incidence of CRC among the Hispanic population has been declining, recently, a dramatic increase in CRC incidents among HL younger than 50 years of age has been reported. The incidence of early-onset CRC is more significant in HL population (45%) than in non-Hispanic Whites (27%) and African-Americans (15%). The reason for these racial disparities and the biology of CRC in the HL are not well understood. We performed this study to understand the biology of the disease in HL patients. We analyzed formalin-fixed paraffin-embedded tumor tissue samples from 52 HL patients with mCRC. We compared the results with individual patient clinical histories and outcomes. We identified commonly altered genes in HL patients (APC, TP53, KRAS, GNAS, and NOTCH). Importantly, mutation frequencies in the APC gene were significantly higher among HL patients. The combination of mutations in the APC, NOTCH, and KRAS genes in the same tumors was associated with a higher risk of progression after first-line of chemotherapy and overall survival. Our data support the notion that the molecular drivers of CRC might be different in HL patients.

  16. f

    Mega-analysis of genetic variants significantly associated (P

    • plos.figshare.com
    xlsx
    Updated Feb 7, 2025
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    Ava C. Wilson; Alison Rocco; Joe Chiles; Vinodh Srinivasasainagendra; Wassim Labaki; Deborah Meyers; Bertha Hidalgo; Marguerite R. Irvin; Surya P. Bhatt; Hemant Tiwari; Merry-Lynn McDonald (2025). Mega-analysis of genetic variants significantly associated (P [Dataset]. http://doi.org/10.1371/journal.pgen.1011531.s015
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    xlsxAvailable download formats
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    PLOS Genetics
    Authors
    Ava C. Wilson; Alison Rocco; Joe Chiles; Vinodh Srinivasasainagendra; Wassim Labaki; Deborah Meyers; Bertha Hidalgo; Marguerite R. Irvin; Surya P. Bhatt; Hemant Tiwari; Merry-Lynn McDonald
    License

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

    Description

    GWASs were run in all participants without ancestry exclusion using GENESIS single variant association testing. Abbreviations: AA—African American; COPD—Chronic Obstructive Pulmonary Disease; LL—95% Confidence Interval Lower Limit; MAF—Minor Allele Frequency; OR—Odds Ratio. (XLSX)

  17. Rate of fatal police shootings U.S. 2015-2024, by ethnicity

    • statista.com
    Updated Feb 6, 2025
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    Statista (2025). Rate of fatal police shootings U.S. 2015-2024, by ethnicity [Dataset]. https://www.statista.com/statistics/1123070/police-shootings-rate-ethnicity-us/
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The rate of fatal police shootings in the United States shows large differences based on ethnicity. Among Black Americans, the rate of fatal police shootings between 2015 and December 2024 stood at 6.1 per million of the population per year, while for white Americans, the rate stood at 2.4 fatal police shootings per million of the population per year. Police brutality in the United States Police brutality is a major issue in the United States, but recently saw a spike in online awareness and protests following the murder of George Floyd, an African American who was killed by a Minneapolis police officer. Just a few months before, Breonna Taylor was fatally shot in her apartment when Louisville police officers forced entry into her apartment. Despite the repeated fatal police shootings across the country, police accountability has not been adequate according to many Americans. A majority of Black Americans thought that police officers were not held accountable for their misconduct, while less than half of White Americans thought the same. Political opinions Not only are there differences in opinion between ethnicities on police brutality, but there are also major differences between political parties. A majority of Democrats in the United States thought that police officers were not held accountable for their misconduct, while a majority of Republicans that they were held accountable. Despite opposing views on police accountability, both Democrats and Republicans agree that police should be required to be trained in nonviolent alternatives to deadly force.

  18. f

    Trends in age-standardized liver-specific death rate per 100,000 population...

    • plos.figshare.com
    xls
    Updated Sep 3, 2024
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    James M. Paik; Dipam Shah; Katherine Eberly; Pegah Golabi; Linda Henry; Zobair M. Younossi (2024). Trends in age-standardized liver-specific death rate per 100,000 population by sex in the Unites States, 2011–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0289202.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 3, 2024
    Dataset provided by
    PLOS ONE
    Authors
    James M. Paik; Dipam Shah; Katherine Eberly; Pegah Golabi; Linda Henry; Zobair M. Younossi
    License

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

    Description

    Trends in age-standardized liver-specific death rate per 100,000 population by sex in the Unites States, 2011–2021.

  19. Number of people killed by police by cause of death U.S. 2013-2023

    • statista.com
    Updated Dec 2, 2024
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    Statista (2024). Number of people killed by police by cause of death U.S. 2013-2023 [Dataset]. https://www.statista.com/statistics/1124027/number-people-killed-police-cause-death-us/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, 1,190 deadly police shootings occurred in the United States, a slight increase from 1,156 in the previous year. During this same period, there were 322 Black people killed by the police.

  20. f

    Trends in age-standardized CLD-related death rates (per 100,000 population):...

    • plos.figshare.com
    xls
    Updated Sep 3, 2024
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    James M. Paik; Dipam Shah; Katherine Eberly; Pegah Golabi; Linda Henry; Zobair M. Younossi (2024). Trends in age-standardized CLD-related death rates (per 100,000 population): Unites States, 2011–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0289202.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 3, 2024
    Dataset provided by
    PLOS ONE
    Authors
    James M. Paik; Dipam Shah; Katherine Eberly; Pegah Golabi; Linda Henry; Zobair M. Younossi
    License

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

    Description

    Trends in age-standardized CLD-related death rates (per 100,000 population): Unites States, 2011–2021.

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Statista (2024). Leading causes of death among Black U.S. residents from 2020 to 2022 [Dataset]. https://www.statista.com/statistics/233310/distribution-of-the-10-leading-causes-of-death-among-african-americans/
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Leading causes of death among Black U.S. residents from 2020 to 2022

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2 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

The leading causes of death among Black residents in the United States in 2022 included diseases of the heart, cancer, unintentional injuries, and stroke. The leading causes of death for African Americans generally reflects the leading causes of death for the entire United States population. However, a major exception is that death from assault or homicide is the seventh leading cause of death among African Americans, but is not among the ten leading causes for the general population. Homicide among African Americans The homicide rate among African Americans has been higher than that of other races and ethnicities for many years. In 2023, around 9,284 Black people were murdered in the United States, compared to 7,289 white people. A majority of these homicides are committed with firearms, which are easily accessible in the United States. In 2022, around 14,189 Black people died by firearms. However, suicide deaths account for over half of all deaths from firearms in the United States. Cancer disparities There are also major disparities in access to health care and the impact of various diseases. For example, the incidence rate of cancer among African American males is the greatest among all ethnicities and races. Furthermore, although the incidence rate of cancer is lower among African American women than it is among white women, cancer death rates are still higher among African American women.

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