100+ datasets found
  1. Study of Womens Health Across the Nation (SWAN) Public Use Data

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Feb 13, 2021
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    (2021). Study of Womens Health Across the Nation (SWAN) Public Use Data [Dataset]. https://healthdata.gov/dataset/Study-of-Womens-Health-Across-the-Nation-SWAN-Publ/2u9n-jnai
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    tsv, application/rssxml, csv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    The SWAN Public Use Datasets provide access to longitudinal data describing the physical, biological, psychological, and social changes that occur during the menopausal transition. Data collected from 3,302 SWAN participants from Baseline through the 10th Annual Follow-Up visit are currently available to the public. Registered users are able to download datasets in a variety of formats, search variables and view recent publications.

  2. Total women's health funding by National Institutes for Health 2013-2025

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Total women's health funding by National Institutes for Health 2013-2025 [Dataset]. https://www.statista.com/statistics/713378/total-women-s-health-funding-by-the-national-institutes-for-health/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Women's health funding by the NIH was around *** billion U.S. dollars during fiscal year 2023. This graph shows the actual women's health funding by the National Institutes for Health (NIH) from FY 2013 to FY 2023 and estimates for FY 2024 and FY 2025.

  3. DQS Death rates for heart disease, by sex, race, Hispanic origin, and age:...

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated May 3, 2024
    + more versions
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    data.cdc.gov (2024). DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER [Dataset]. https://healthdata.gov/dataset/DQS-Death-rates-for-heart-disease-by-sex-race-Hisp/bxpy-ynvv
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    application/rssxml, tsv, csv, application/rdfxml, json, xmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  4. d

    Blog | Data from Study of Women's Health Across the Nation (SWAN)

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Mar 26, 2025
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    Winifred Rossi (2025). Blog | Data from Study of Women's Health Across the Nation (SWAN) [Dataset]. https://catalog.data.gov/dataset/blog-data-from-study-of-womens-health-across-the-nation-swan
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Winifred Rossi
    Description

    This blog post was posted by Winifred Rossi on May 6, 201.

  5. Chad TD: Prevalence of Anemia among Pregnant Women: %

    • ceicdata.com
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    CEICdata.com, Chad TD: Prevalence of Anemia among Pregnant Women: % [Dataset]. https://www.ceicdata.com/en/chad/social-health-statistics
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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, 2008 - Dec 1, 2019
    Area covered
    Chad
    Description

    TD: Prevalence of Anemia among Pregnant Women: % data was reported at 45.300 % in 2019. This records a decrease from the previous number of 46.200 % for 2018. TD: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 52.050 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 54.900 % in 2000 and a record low of 45.300 % in 2019. TD: Prevalence of Anemia among Pregnant Women: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;

  6. U.S. females who reported their mental health was poor 2015-2017, by state

    • statista.com
    Updated Nov 29, 2023
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    Statista (2023). U.S. females who reported their mental health was poor 2015-2017, by state [Dataset]. https://www.statista.com/statistics/798446/share-of-women-who-stated-their-mental-health-as-poor-us-by-state/
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    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the percentage of women in the U.S. who reported their mental health as poor from 2015 to 2017, by state. During this time, around 41 percent of women in West Virginia reported their mental health was "not good" between one and 30 days in the past 30 days.

  7. d

    Data from: National Women's Health Survey for Trinidad and Tobago

    • data.gov.tt
    Updated Sep 19, 2023
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    (2023). National Women's Health Survey for Trinidad and Tobago [Dataset]. https://data.gov.tt/dataset/national-womens-health-survey
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    Dataset updated
    Sep 19, 2023
    License

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

    Area covered
    Trinidad and Tobago
    Description

    This report shares important findings from a major survey conducted in Trinidad and Tobago about violence against women. The survey, known as the Trinidad and Tobago Women's Health Survey (WHS), was carried out in 2017. It involved 1,079 women aged between 15 and 64. For the first time on a national scale, it provides detailed information about two serious issues: Violence by a partner (known as intimate partner violence or IPV) and Sexual violence by someone who isn't a partner (non-partner sexual violence or NPSV). These findings help us understand how widespread these challenges are in Trinidad and Tobago. Copyright © 2018 Inter-American Development Bank. This work is licensed under a Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (https://creativecommons.org/licenses/by-nc-nd/3.0/igo/legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose. No derivative work is allowed. The following citation is recommended: [© IDB] [Year of publication] [Title of content] [Page number (for publications)] [Location on IDB website] [Date accessed and/or downloaded] Example: © IDB 2018, National Women's Health Survey for Trinidad and Tobago, DOI: http://dx.doi.org/10.18235/0001006, Accessed on 19/09/2023.

  8. d

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

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Mar 12, 2025
    + more versions
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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)

  9. Cameroon CM: Proportion of Women Subjected to Physical and/or Sexual...

    • ceicdata.com
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    CEICdata.com, Cameroon CM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 [Dataset]. https://www.ceicdata.com/en/cameroon/social-health-statistics
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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, 2014
    Area covered
    Cameroon
    Description

    CM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data was reported at 32.700 % in 2014. CM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data is updated yearly, averaging 32.700 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 32.700 % in 2014 and a record low of 32.700 % in 2014. CM: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cameroon – Table CM.World Bank.WDI: Social: Health Statistics. Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.;United Nations Statistics Division (UNSD);Weighted average;This is the Sustainable Development Goal indicator 5.2.1[https://unstats.un.org/sdgs/metadata/].

  10. F

    Women Employees, Private Education and Health Services

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
    + more versions
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    (2025). Women Employees, Private Education and Health Services [Dataset]. https://fred.stlouisfed.org/series/CES6500000010
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Women Employees, Private Education and Health Services (CES6500000010) from Jan 1964 to May 2025 about females, health, establishment survey, education, services, employment, and USA.

  11. Main issues women faced when accessing healthcare in the UK 2022

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Main issues women faced when accessing healthcare in the UK 2022 [Dataset]. https://www.statista.com/statistics/1333397/issues-women-face-accessing-healthcare-in-the-uk/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom
    Description

    According to a survey of women carried out in the United Kingdom in 2022, ** percent of respondents had experienced not being taken seriously by a healthcare provider. Furthermore, around ** percent of women felt that when accessing healthcare, there was a lack of understanding of women's lives and experiences, while over a ***** reported a lack of understanding of women's bodies was an issue for them when accessing healthcare.

  12. Costa Rica CR: Pregnant Women Receiving Prenatal Care

    • ceicdata.com
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    CEICdata.com, Costa Rica CR: Pregnant Women Receiving Prenatal Care [Dataset]. https://www.ceicdata.com/en/costa-rica/social-health-statistics
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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, 1992 - Dec 1, 2018
    Area covered
    Costa Rica
    Description

    CR: Pregnant Women Receiving Prenatal Care data was reported at 97.600 % in 2018. This records a decrease from the previous number of 98.100 % for 2011. CR: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 91.700 % from Dec 1992 (Median) to 2018, with 8 observations. The data reached an all-time high of 98.100 % in 2011 and a record low of 69.600 % in 1999. CR: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Social: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

  13. Mali ML: Women Participating in the Three Decisions: Own Health Care, Major...

    • ceicdata.com
    Updated Jul 6, 2018
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    CEICdata.com (2018). Mali ML: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 [Dataset]. https://www.ceicdata.com/en/mali/health-statistics?page=2
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    Dataset updated
    Jul 6, 2018
    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, 2001 - Dec 1, 2013
    Area covered
    Mali
    Description

    ML: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 8.900 % in 2013. This records a decrease from the previous number of 11.300 % for 2006. ML: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data is updated yearly, averaging 8.900 % from Dec 2001 (Median) to 2013, with 3 observations. The data reached an all-time high of 11.300 % in 2006 and a record low of 8.200 % in 2001. ML: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank: Health Statistics. Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).; ; Demographic and Health Surveys (DHS); ;

  14. Expected share of life spent in good health worldwide 2023, by gender and...

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Expected share of life spent in good health worldwide 2023, by gender and region [Dataset]. https://www.statista.com/statistics/1419115/proportion-life-good-health-gender/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In each region of the world, men spend greater proportions of their lives in good health than women. On average, women spend ** percent of their life expectancy at birth in good health, while men spend ** percent of their life expectancy at birth in good health. Out of each region, North Africa and Western Asia has the largest gender gap at ***** percent. Sub-Saharan Africa, Latin America and the Caribbean, and North America and Europe follow with a gap of *** percent. Australia and New Zealand have the smallest gap, at *** percent.

  15. Leading female health issues difficult to find sources for Malaysia 2022

    • statista.com
    Updated May 20, 2025
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    Statista (2025). Leading female health issues difficult to find sources for Malaysia 2022 [Dataset]. https://www.statista.com/statistics/1305095/malaysia-female-health-issues-women-find-hard-to-find-sources/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2022
    Area covered
    Malaysia
    Description

    A survey conducted by Milieu Insight on female health and wellness in Malaysia in January 2022 found that 33 percent of the respondents found that it was difficult for them to find information regarding menopause. In general, more than 50 percent of respondents in Malaysia were of the opinion that they lacked information on almost all aspects of female health and wellness.

  16. Costa Rica CR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19

    • ceicdata.com
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    CEICdata.com, Costa Rica CR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 [Dataset]. https://www.ceicdata.com/en/costa-rica/social-health-statistics
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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, 2011 - Dec 1, 2022
    Area covered
    Costa Rica
    Description

    CR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 26.251 Ratio in 2023. This records a decrease from the previous number of 26.451 Ratio for 2022. CR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 89.262 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 101.259 Ratio in 1960 and a record low of 26.251 Ratio in 2023. CR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Social: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.;United Nations Population Division, World Population Prospects.;Weighted average;This is the Sustainable Development Goal indicator 3.7.2 [https://unstats.un.org/sdgs/metadata/].

  17. Women reporting select types of health insurance coverage in the U.S....

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Women reporting select types of health insurance coverage in the U.S. 2018-2023 [Dataset]. https://www.statista.com/statistics/873596/health-insurance-coverage-among-us-women/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2023, ** percent of women had employer-sponsored insurance and the percentage of uninsured women stood at *** percent. This statistic depicts the percentage of health insurance coverage among women in the United States from 2018 to 2023.

  18. Morocco MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women...

    • ceicdata.com
    Updated Jun 29, 2018
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    CEICdata.com (2018). Morocco MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV [Dataset]. https://www.ceicdata.com/en/morocco/health-statistics
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    Dataset updated
    Jun 29, 2018
    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, 2010 - Dec 1, 2016
    Area covered
    Morocco
    Description

    MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 63.000 % in 2017. This records a decrease from the previous number of 67.000 % for 2016. MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 62.500 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 70.000 % in 2012 and a record low of 46.000 % in 2011. MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Health Statistics. Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).; ; UNAIDS estimates.; Weighted average;

  19. V

    Study of Womens Health Across the Nation (SWAN) Data: Investigator Access

    • data.virginia.gov
    • healthdata.gov
    • +2more
    Updated Jul 25, 2023
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    Department of Health & Human Services (2023). Study of Womens Health Across the Nation (SWAN) Data: Investigator Access [Dataset]. https://data.virginia.gov/dataset/study-of-womens-health-across-the-nation-swan-data-investigator-access
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    Dataset updated
    Jul 25, 2023
    Dataset provided by
    Department of Health & Human Services
    Description

    The SWAN Coordinating Center provides SWAN data access to SWAN Investigators through the study website. The SWAN website provides access to longitudinal data describing the physical, biological, psychological, and social changes that occur during the menopausal transition. Data collected from 3,302 SWAN participants from Baseline through the 13th Follow-Up visit are currently available.

  20. NCHS - Percent Distribution of Births for Females by Age Group: United...

    • datasets.ai
    • healthdata.gov
    • +7more
    23, 40, 55, 8
    Updated Aug 29, 2024
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    U.S. Department of Health & Human Services (2024). NCHS - Percent Distribution of Births for Females by Age Group: United States [Dataset]. https://datasets.ai/datasets/nchs-percent-distribution-of-births-for-females-by-age-group-united-states
    Explore at:
    40, 55, 8, 23Available download formats
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Area covered
    United States
    Description

    This dataset includes percent distribution of births for females by age group in the United States since 1933.

    The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

    SOURCES

    NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

    REFERENCES

    1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.

    2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.

    3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.

    4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

    5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.

    6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

Share
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Email
Click to copy link
Link copied
Close
Cite
(2021). Study of Womens Health Across the Nation (SWAN) Public Use Data [Dataset]. https://healthdata.gov/dataset/Study-of-Womens-Health-Across-the-Nation-SWAN-Publ/2u9n-jnai
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Study of Womens Health Across the Nation (SWAN) Public Use Data

Explore at:
tsv, application/rssxml, csv, application/rdfxml, xml, jsonAvailable download formats
Dataset updated
Feb 13, 2021
Description

The SWAN Public Use Datasets provide access to longitudinal data describing the physical, biological, psychological, and social changes that occur during the menopausal transition. Data collected from 3,302 SWAN participants from Baseline through the 10th Annual Follow-Up visit are currently available to the public. Registered users are able to download datasets in a variety of formats, search variables and view recent publications.

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