99 datasets found
  1. Leading causes of death among women in the United States 2020-2022

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Leading causes of death among women in the United States 2020-2022 [Dataset]. https://www.statista.com/statistics/233289/distribution-of-the-10-leading-causes-of-death-among-women/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, the leading causes of death among women are heart disease and cancer. Heart disease and cancer are similarly the leading causes of death among U.S. men. In 2022, heart disease accounted for **** percent of all deaths among women in the United States, while cancer accounted for **** percent of deaths. COVID-19 was the third leading cause of death among both men and women in 2020 and 2021, and the fourth leading cause in 2022. Cancer among women in the U.S. The most common types of cancer among U.S. women are breast, lung and bronchus, and colon and rectum. In 2025, there were around ******* new breast cancer cases among women, compared to ******* new cases of lung and bronchus cancer. Although breast cancer is the most common form of cancer among women in the United States, lung and bronchus cancer causes the highest number of cancer deaths. In 2025, around ****** women were expected to die from lung and bronchus cancer, compared to ****** from breast cancer. Breast cancer Although breast cancer is the second most deadly form of cancer among women, rates of death have decreased over the past few decades. This decrease is possibly due to early detection, progress in therapy, and increasing awareness of risk factors. In 2023, the death rate due to breast cancer was **** per 100,000 population, compared to a rate of **** per 100,000 in the year 1990. The state with the highest rate of deaths due to breast cancer is Oklahoma, while South Dakota had the lowest rates.

  2. Number of women murdered by men in the U.S. 2020, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). Number of women murdered by men in the U.S. 2020, by state [Dataset]. https://www.statista.com/statistics/327462/women-murdered-by-men-united-states/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    In 2020, there were 257 women killed by male single offenders in the state of Texas. Texas was the state with the highest number of women murdered by men in single offender homicides. California had the second most women killed by male single offenders, at 222 cases.

  3. d

    Data from: Chicago Women's Health Risk Study, 1995-1998

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Chicago Women's Health Risk Study, 1995-1998 [Dataset]. https://catalog.data.gov/dataset/chicago-womens-health-risk-study-1995-1998-84646
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justice
    Area covered
    Chicago
    Description

    The goal of the Chicago Women's Health Risk Study (CWHRS) was to develop a reliable and validated profile of risk factors directly related to lethal or life-threatening outcomes in intimate partner violence, for use in agencies and organizations working to help women in abusive relationships. Data were collected to draw comparisons between abused women in situations resulting in fatal outcomes and those without fatal outcomes, as well as a baseline comparison of abused women and non-abused women, taking into account the interaction of events, circumstances, and interventions occurring over the course of a year or two. The CWHRS used a quasi-experimental design to gather survey data on 705 women at the point of service for any kind of treatment (related to abuse or not) sought at one of four medical sites serving populations in areas with high rates of intimate partner homicide (Chicago Women's Health Center, Cook County Hospital, Erie Family Health Center, and Roseland Public Health Center). Over 2,600 women were randomly screened in these settings, following strict protocols for safety and privacy. One goal of the design was that the sample would not systematically exclude high-risk but understudied populations, such as expectant mothers, women without regular sources of health care, and abused women in situations where the abuse is unknown to helping agencies. To accomplish this, the study used sensitive contact and interview procedures, developed sensitive instruments, and worked closely with each sample site. The CWHRS attempted to interview all women who answered "yes -- within the past year" to any of the three screening questions, and about 30 percent of women who did not answer yes, provided that the women were over age 17 and had been in an intimate relationship in the past year. In total, 705 women were interviewed, 497 of whom reported that they had experienced physical violence or a violent threat at the hands of an intimate partner in the past year (the abused, or AW, group). The remaining 208 women formed the comparison group (the non-abused, or NAW, group). Data from the initial interview sections comprise Parts 1-8. For some women, the AW versus NAW interview status was not the same as their screening status. When a woman told the interviewer that she had experienced violence or a violent threat in the past year, she and the interviewer completed a daily calendar history, including details of important events and each violent incident that had occurred the previous year. The study attempted to conduct one or two follow-up interviews over the following year with the 497 women categorized as AW. The follow-up rate was 66 percent. Data from this part of the clinic/hospital sample are found in Parts 9-12. In addition to the clinic/hospital sample, the CWHRS collected data on each of the 87 intimate partner homicides occurring in Chicago over a two-year period that involved at least one woman age 18 or older. Using the same interview schedule as for the clinic/hospital sample, CWHRS interviewers conducted personal interviews with one to three "proxy respondents" per case, people who were knowledgeable and credible sources of information about the couple and their relationship, and information was compiled from official or public records, such as court records, witness statements, and newspaper accounts (Parts 13-15). In homicides in which a woman was the homicide offender, attempts were made to contact and interview her. This "lethal" sample, all such homicides that took place in 1995 or 1996, was developed from two sources, HOMICIDES IN CHICAGO, 1965-1995 (ICPSR 6399) and the Cook County Medical Examiner's Office. Part 1 includes demographic variables describing each respondent, such as age, race and ethnicity, level of education, employment status, screening status (AW or NAW), birthplace, and marital status. Variables in Part 2 include details about the woman's household, such as whether she was homeless, the number of people living in the household and details about each person, the number of her children or other children in the household, details of any of her children not living in her household, and any changes in the household structure over the past year. Variables in Part 3 deal with the woman's physical and mental health, including pregnancy, and with her social support network and material resources. Variables in Part 4 provide information on the number and type of firearms in the household, whether the woman had experienced power, control, stalking, or harassment at the hands of an intimate partner in the past year, whether she had experienced specific types of violence or violent threats at the hands of an intimate partner in the past year, and whether she had experienced symptoms of Post-Traumatic Stress Disorder related to the incidents in the past month. Variables in Part 5 specify the partner or partners who were responsible for the incidents in the past year, record the type and length of the woman's relationship with each of these partners, and provide detailed information on the one partner she chose to talk about (called "Name"). Variables in Part 6 probe the woman's help-seeking and interventions in the past year. Variables in Part 7 include questions comprising the Campbell Danger Assessment (Campbell, 1993). Part 8 assembles variables pertaining to the chosen abusive partner (Name). Part 9, an event-level file, includes the type and the date of each event the woman discussed in a 12-month retrospective calendar history. Part 10, an incident-level file, includes variables describing each violent incident or threat of violence. There is a unique identifier linking each woman to her set of events or incidents. Part 11 is a person-level file in which the incidents in Part 10 have been aggregated into totals for each woman. Variables in Part 11 include, for example, the total number of incidents during the year, the number of days before the interview that the most recent incident had occurred, and the severity of the most severe incident in the past year. Part 12 is a person-level file that summarizes incident information from the follow-up interviews, including the number of abuse incidents from the initial interview to the last follow-up, the number of days between the initial interview and the last follow-up, and the maximum severity of any follow-up incident. Parts 1-12 contain a unique identifier variable that allows users to link each respondent across files. Parts 13-15 contain data from official records sources and information supplied by proxies for victims of intimate partner homicides in 1995 and 1996 in Chicago. Part 13 contains information about the homicide incidents from the "lethal sample," along with outcomes of the court cases (if any) from the Administrative Office of the Illinois Courts. Variables for Part 13 include the number of victims killed in the incident, the month and year of the incident, the gender, race, and age of both the victim and offender, who initiated the violence, the severity of any other violence immediately preceding the death, if leaving the relationship triggered the final incident, whether either partner was invading the other's home at the time of the incident, whether jealousy or infidelity was an issue in the final incident, whether there was drug or alcohol use noted by witnesses, the predominant motive of the homicide, location of the homicide, relationship of victim to offender, type of weapon used, whether the offender committed suicide after the homicide, whether any criminal charges were filed, and the type of disposition and length of sentence for that charge. Parts 14 and 15 contain data collected using the proxy interview questionnaire (or the interview of the woman offender, if applicable). The questionnaire used for Part 14 was identical to the one used in the clinic sample, except for some extra questions about the homicide incident. The data include only those 76 cases for which at least one interview was conducted. Most variables in Part 14 pertain to the victim or the offender, regardless of gender (unless otherwise labeled). For ease of analysis, Part 15 includes the same 76 cases as Part 14, but the variables are organized from the woman's point of view, regardless of whether she was the victim or offender in the homicide (for the same-sex cases, Part 15 is from the woman victim's point of view). Parts 14 and 15 can be linked by ID number. However, Part 14 includes five sets of variables that were asked only from the woman's perspective in the original questionnaire: household composition, Post-Traumatic Stress Disorder (PTSD), social support network, personal income (as opposed to household income), and help-seeking and intervention. To avoid redundancy, these variables appear only in Part 14. Other variables in Part 14 cover information about the person(s) interviewed, the victim's and offender's age, sex, race/ethnicity, birthplace, employment status at time of death, and level of education, a scale of the victim's and offender's severity of physical abuse in the year prior to the death, the length of the relationship between victim and offender, the number of children belonging to each partner, whether either partner tried to leave and/or asked the other to stay away, the reasons why each partner tried to leave, the longest amount of time each partner stayed away, whether either or both partners returned to the relationship before the death, any known physical or emotional problems sustained by victim or offender, including the four-item Medical Outcomes Study (MOS) scale of depression, drug and alcohol use of the victim and offender, number and type of guns in the household of the victim and offender, Scales of Power and Control (Johnson, 1996) or Stalking and Harassment (Sheridan, 1992) by either intimate partner in the year prior to the death, a modified version of the Conflict Tactics Scale (CTS)

  4. Leading causes of death among women Japan 2023

    • statista.com
    • ai-chatbox.pro
    Updated Nov 27, 2024
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    Statista (2024). Leading causes of death among women Japan 2023 [Dataset]. https://www.statista.com/statistics/1136763/japan-most-frequent-causes-of-deaths-women/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Japan
    Description

    In 2023, malignant neoplasms were the leading cause of death among the female population in Japan at around 161.1 thousand deaths. This number accounted for about 21 percent of approximately 773.5 thousand death cases of women recorded in the country during that year. Senility followed with a share of about 17.7 percent.

  5. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  6. a

    Indicator 5.6.1: Proportion of women who make their own informed decisions...

    • sdgs.amerigeoss.org
    Updated Aug 18, 2020
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    UN DESA Statistics Division (2020). Indicator 5.6.1: Proportion of women who make their own informed decisions regarding reproductive health care (percent of women aged 15-49 years) [Dataset]. https://sdgs.amerigeoss.org/datasets/a6906a30919b4fb8bd80f4376018e7bf
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    Dataset updated
    Aug 18, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Proportion of women who make their own informed decisions regarding reproductive health care (percent of women aged 15-49 years)Series Code: SH_FPL_INFMRHRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health careTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  7. A

    Indicator 5.6.1: Proportion of women who make their own informed decisions...

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jul 11, 2019
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    AmeriGEO ArcGIS (2019). Indicator 5.6.1: Proportion of women who make their own informed decisions regarding reproductive health care (percent of women aged 15-49 years) [Dataset]. https://data.amerigeoss.org/pl/dataset/indicator-5-6-1-proportion-of-women-who-make-their-own-informed-decisions-regarding-reproductiv
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    kml, html, csv, esri rest, zip, geojsonAvailable download formats
    Dataset updated
    Jul 11, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Description
    • Series Name: Proportion of women who make their own informed decisions regarding reproductive health care (% of women aged 15-49 years)
    • Series Code: SH_FPL_INFMRH
    • Release Version: 2019.Q2.G.01

    This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.

    Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care

    Target 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferences

    Goal 5: Achieve gender equality and empower all women and girls

    For more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  8. g

    Indicator 5.6.1: Proportion of women who make their own informed decisions...

    • globalfistulahub.org
    • sdgs.amerigeoss.org
    Updated Feb 9, 2021
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    Direct Relief (2021). Indicator 5.6.1: Proportion of women who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (percent of women aged 15-49 years) [Dataset]. https://www.globalfistulahub.org/datasets/indicator-5-6-1-proportion-of-women-who-make-their-own-informed-decisions-regarding-sexual-relations-contraceptive-use-and-reproductive-health-care-percent-of-women-aged-15-49-years-1/api
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    Dataset updated
    Feb 9, 2021
    Dataset authored and provided by
    Direct Relief
    Area covered
    Description

    Series Name: Proportion of women who make their own informed decisions regarding sexual relations contraceptive use and reproductive health care (percent of women aged 15-49 years)Series Code: SH_FPL_INFMRelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health careTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  9. A

    Indicator 5.6.1: Proportion of women who make their own informed decisions...

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jul 11, 2019
    + more versions
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    AmeriGEO ArcGIS (2019). Indicator 5.6.1: Proportion of women who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (percent of women aged 15-49 years) [Dataset]. https://data.amerigeoss.org/gl/dataset/indicator-5-6-1-proportion-of-women-who-make-their-own-informed-decisions-regarding-sexual-rela1
    Explore at:
    geojson, html, zip, csv, esri rest, kmlAvailable download formats
    Dataset updated
    Jul 11, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Description
    • Series Name: Proportion of women who make their own informed decisions regarding sexual relations contraceptive use and reproductive health care (% of women aged 15-49 years)
    • Series Code: SH_FPL_INFM
    • Release Version: 2019.Q2.G.01

    This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.

    Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care

    Target 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferences

    Goal 5: Achieve gender equality and empower all women and girls

    For more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  10. China CN: Intentional Homicides: Female: per 100,000 Female

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Intentional Homicides: Female: per 100,000 Female [Dataset]. https://www.ceicdata.com/en/china/health-statistics/cn-intentional-homicides-female-per-100000-female
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    Dataset updated
    Dec 15, 2024
    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, 2014
    Area covered
    China
    Description

    China Intentional Homicides: Female: per 100,000 Female data was reported at 0.506 Ratio in 2014. China Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.506 Ratio from Dec 2014 (Median) to 2014, with 1 observations. China Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

  11. A

    Indicator 5.6.1: Proportion of women who make their own informed decisions...

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jul 11, 2019
    + more versions
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    AmeriGEO ArcGIS (2019). Indicator 5.6.1: Proportion of women who make their own informed decisions regarding sexual relations (percent of women aged 15-49 years) [Dataset]. https://data.amerigeoss.org/id/dataset/indicator-5-6-1-proportion-of-women-who-make-their-own-informed-decisions-regarding-sexual-rela
    Explore at:
    kml, esri rest, html, csv, zip, geojsonAvailable download formats
    Dataset updated
    Jul 11, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Description
    • Series Name: Proportion of women who make their own informed decisions regarding sexual relations (% of women aged 15-49 years)
    • Series Code: SH_FPL_INFMSR
    • Release Version: 2019.Q2.G.01

    This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.

    Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care

    Target 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferences

    Goal 5: Achieve gender equality and empower all women and girls

    For more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  12. a

    Indicator 5.6.1: Proportion of women who make their own informed decisions...

    • sdgs.amerigeoss.org
    Updated Aug 17, 2020
    + more versions
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    UN DESA Statistics Division (2020). Indicator 5.6.1: Proportion of women who make their own informed decisions regarding contraceptive use (percent of women aged 15-49 years) [Dataset]. https://sdgs.amerigeoss.org/maps/b609d6a53e0d4c8fb80609dbe157d8e9_0/about
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    Dataset updated
    Aug 17, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Proportion of women who make their own informed decisions regarding contraceptive use (percent of women aged 15-49 years)Series Code: SH_FPL_INFMCURelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health careTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  13. r

    The BEDA survey

    • researchdata.se
    Updated Jul 1, 2025
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    The BEDA survey [Dataset]. https://researchdata.se/en/catalogue/dataset/snd0012-1
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    (255117), (228926), (135821), (281774), (201935), (41532), (421735), (34644), (388726), (60482), (362257), (249405), (303209)Available download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    University of Gothenburg
    Authors
    Annika Rosengren; Saga Johansson; Lars Wilhelmsen
    Time period covered
    1980 - 1997
    Area covered
    Sweden
    Description

    The BEDA study is a study of cardiovascular disease in women, administered by the Section for Preventive Cardiology, University of Gothenburg. The background is that coronary heart disease and diabetes are important and common reasons for too early death in both women and men, but risk factors for coronary heart disease has not been so well described in women.

    Of those invited, 1413 women (81%) were investigated between November 1979 and February 1981. A new examination took place in 1997. Of 1201 invited women, 875 (73%) participated. The procedures for the second screening were similar to those of the first examination. The material has been used in both longitudinal analyses and as control groups in different case-control studies.

    The purpose is to study risk factors for cardiovascular disease and other diseases in women

  14. Death rate by age and sex in the U.S. 2021

    • statista.com
    • ai-chatbox.pro
    Updated Oct 25, 2024
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    Statista (2024). Death rate by age and sex in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/241572/death-rate-by-age-and-sex-in-the-us/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

  15. Saudi Arabia SA: Intentional Homicides: Female: per 100,000 Female

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Saudi Arabia SA: Intentional Homicides: Female: per 100,000 Female [Dataset]. https://www.ceicdata.com/en/saudi-arabia/health-statistics/sa-intentional-homicides-female-per-100000-female
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    Dataset updated
    Dec 15, 2024
    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, 2015
    Area covered
    Saudi Arabia
    Description

    Saudi Arabia SA: Intentional Homicides: Female: per 100,000 Female data was reported at 1.145 Ratio in 2015. Saudi Arabia SA: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 1.145 Ratio from Dec 2015 (Median) to 2015, with 1 observations. Saudi Arabia SA: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

  16. Indicator 3.7.1: Proportion of women of reproductive age (aged 15-49 years)...

    • sdgs-amerigeoss.opendata.arcgis.com
    • sdgs.amerigeoss.org
    Updated Aug 17, 2020
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    UN DESA Statistics Division (2020). Indicator 3.7.1: Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods (percent of women aged 15-49 years) [Dataset]. https://sdgs-amerigeoss.opendata.arcgis.com/datasets/undesa::indicator-3-7-1-proportion-of-women-of-reproductive-age-aged-15-49-years-who-have-their-need-for-family-planning-satisfied-with-modern-methods-percent-of-women-aged-15-49-years-4/data
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    Dataset updated
    Aug 17, 2020
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods (percent of women aged 15-49 years)Series Code: SH_FPL_MTMMRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.7.1: Proportion of women of reproductive age (aged 15–49 years) who have their need for family planning satisfied with modern methodsTarget 3.7: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programmesGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  17. Somalia SO: Intentional Homicides: Female: per 100,000 Female

    • ceicdata.com
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    CEICdata.com, Somalia SO: Intentional Homicides: Female: per 100,000 Female [Dataset]. https://www.ceicdata.com/en/somalia/health-statistics/so-intentional-homicides-female-per-100000-female
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    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, 2015
    Area covered
    Somalia
    Description

    Somalia SO: Intentional Homicides: Female: per 100,000 Female data was reported at 2.164 Ratio in 2015. Somalia SO: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.164 Ratio from Dec 2015 (Median) to 2015, with 1 observations. Somalia SO: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Somalia – Table SO.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

  18. a

    Indicator 5.2.1: Proportion of ever-partnered women and girls subjected to...

    • sdgs.amerigeoss.org
    • sdg.org
    Updated Aug 18, 2020
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    UN DESA Statistics Division (2020). Indicator 5.2.1: Proportion of ever-partnered women and girls subjected to physical and or sexual violence by a current or former intimate partner in the previous 12 months by age (percent) [Dataset]. https://sdgs.amerigeoss.org/datasets/f8c1ee9060634df7b6fe7afb676bb6d3
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    Dataset updated
    Aug 18, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Proportion of ever-partnered women and girls subjected to physical and or sexual violence by a current or former intimate partner in the previous 12 months by age (percent)Series Code: VC_VAW_MARRRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.2.1: Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by ageTarget 5.2: Eliminate all forms of violence against all women and girls in the public and private spheres, including trafficking and sexual and other types of exploitationGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  19. f

    Additional file 13 of Obesity at age 20 and weight gain during adulthood...

    • figshare.com
    • springernature.figshare.com
    xlsx
    Updated Feb 7, 2024
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    Mary Pegington; Michelle Harvie; Elaine F. Harkness; Adam Brentnall; Lee Malcomson; Jake Southworth; Jill Fox; Anthony Howell; Jack Cuzick; D. Gareth Evans (2024). Additional file 13 of Obesity at age 20 and weight gain during adulthood increase risk of total and premature all-cause mortality: findings from women attending breast screening in Manchester [Dataset]. http://doi.org/10.6084/m9.figshare.22609601.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 7, 2024
    Dataset provided by
    figshare
    Authors
    Mary Pegington; Michelle Harvie; Elaine F. Harkness; Adam Brentnall; Lee Malcomson; Jake Southworth; Jill Fox; Anthony Howell; Jack Cuzick; D. Gareth Evans
    License

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

    Description

    Additional file 13. Table S12: Characteristics of women who died prematurely included (n=166) and not included (n=1 380) in the cause of death analysis.

  20. SDG 5.2.1 Percentage of ever married women who exposed to different types of...

    • hub.arcgis.com
    • sdg-pcbs.opendata.arcgis.com
    Updated Jun 11, 2018
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    Palestinian Central Bureau of Statistics (2018). SDG 5.2.1 Percentage of ever married women who exposed to different types of violence from husband during the last 12 months [Dataset]. https://hub.arcgis.com/datasets/PCBS::sdg-5-2-1-percentage-of-ever-married-women-who-exposed-to-different-types-of-violence-from-husband-during-the-last-12-months-
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    Dataset updated
    Jun 11, 2018
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Area covered
    Description

    This feature layer represents the percentage of ever married women who exposed to different types of violence from husband during the last 12 months. The layer has been developed as a proxy to represent SDG 5.2.1 ‘percentage of ever married women who exposed to different types of violence from husband during the last 12 months' for Palestine.

    Administrative governorates boundary data produced by PCBS, and data sources are:

    Media Survey 2000. Palestine - Computer, Internet and Mobile Phone Survey, 2004. Households Survey on Information and Communications Technology -2006. Household Culture Survey 2009.

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Statista (2025). Leading causes of death among women in the United States 2020-2022 [Dataset]. https://www.statista.com/statistics/233289/distribution-of-the-10-leading-causes-of-death-among-women/
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Leading causes of death among women in the United States 2020-2022

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Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In the United States, the leading causes of death among women are heart disease and cancer. Heart disease and cancer are similarly the leading causes of death among U.S. men. In 2022, heart disease accounted for **** percent of all deaths among women in the United States, while cancer accounted for **** percent of deaths. COVID-19 was the third leading cause of death among both men and women in 2020 and 2021, and the fourth leading cause in 2022. Cancer among women in the U.S. The most common types of cancer among U.S. women are breast, lung and bronchus, and colon and rectum. In 2025, there were around ******* new breast cancer cases among women, compared to ******* new cases of lung and bronchus cancer. Although breast cancer is the most common form of cancer among women in the United States, lung and bronchus cancer causes the highest number of cancer deaths. In 2025, around ****** women were expected to die from lung and bronchus cancer, compared to ****** from breast cancer. Breast cancer Although breast cancer is the second most deadly form of cancer among women, rates of death have decreased over the past few decades. This decrease is possibly due to early detection, progress in therapy, and increasing awareness of risk factors. In 2023, the death rate due to breast cancer was **** per 100,000 population, compared to a rate of **** per 100,000 in the year 1990. The state with the highest rate of deaths due to breast cancer is Oklahoma, while South Dakota had the lowest rates.

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