6 datasets found
  1. f

    Characteristics and Circumstances of U.S. Women Who Obtain Very Early and...

    • figshare.com
    • plos.figshare.com
    docx
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rachel K. Jones; Jenna Jerman (2023). Characteristics and Circumstances of U.S. Women Who Obtain Very Early and Second-Trimester Abortions [Dataset]. http://doi.org/10.1371/journal.pone.0169969
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rachel K. Jones; Jenna Jerman
    License

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

    Description

    ObjectiveTo determine which characteristics and circumstances were associated with very early and second-trimester abortion.MethodsPaper and pencil surveys were collected from a national sample of 8,380 non-hospital U.S. abortion patients in 2014 and 2015. We used self-reported LMP to calculate weeks gestation; when LMP was not provided we used self-reported weeks pregnant. We constructed two dependent variables: obtaining a very early abortion, defined as six weeks gestation or earlier, and obtaining second-trimester abortion, defined as occurring at 13 weeks gestation or later. We examined associations between the two measures of gestation and a range of characteristics and circumstances, including type of abortion waiting period in the patients’ state of residence.ResultsAmong first-trimester abortion patients, characteristics that decreased the likelihood of obtaining a very early abortion include being under the age of 20, relying on financial assistance to pay for the procedure, recent exposure to two or more disruptive events and living in a state that requires in-person counseling 24–72 hours prior to the procedure. Having a college degree and early recognition of pregnancy increased the likelihood of obtaining a very early abortion. Characteristics that increased the likelihood of obtaining a second-trimester abortion include being Black, having less than a high school degree, relying on financial assistance to pay for the procedure, living 25 or more miles from the facility and late recognition of pregnancy.ConclusionsWhile the availability of financial assistance may allow women to obtain abortions they would otherwise be unable to have, it may also result in delays in accessing care. If poor women had health insurance that covered abortion services, these delays could be alleviated. Since the study period, four additional states have started requiring that women obtain in-person counseling prior to obtaining an abortion, and the increase in these laws could slow down the trend in very early abortion.

  2. G

    Induced abortions in hospitals and clinics, by area of residence of patient...

    • open.canada.ca
    • www150.statcan.gc.ca
    csv, html, xml
    Updated Mar 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Induced abortions in hospitals and clinics, by area of residence of patient and type of facility [Dataset]. https://open.canada.ca/data/en/dataset/49a8ecb5-a38d-462a-a927-cb6e574f7fac
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Mar 30, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Number of induced abortions, rates of induced abortions per 1,000 females aged 15 to 44, and ratios of induced abortions per 100 live births, by area of residence of patient (Canada, province or territory, non-residents of Canada, and abortions reported by American states) and by type of facility performing the abortion (hospital or clinic), 1970 to 2006.

  3. Induced abortions, by area of residence of patient and by type of facility

    • data.wu.ac.at
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jun 27, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada | Statistique Canada (2018). Induced abortions, by area of residence of patient and by type of facility [Dataset]. https://data.wu.ac.at/schema/www_data_gc_ca/ZmY2MmI1ZGQtOTQ4Ni00ZTRhLTg5YzgtYjRkYTY3MGFjMmFl
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Jun 27, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 147 series, with data for years 1970 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography, area of residence of patient (19 items: Total; area of residence of patient; Non-residents of Canada; Canada; area of residence of patient; Abortions reported by American states ...), Type of facility (3 items: Induced abortions; hospitals and clinics; Induced abortions; clinics; Induced abortions; hospitals ...), Characteristics (3 items: Number of induced abortions; Rate per 1;000 females aged 15 to 44;Ratio per 100 live births ...).

  4. f

    Characteristics of women obtaining induced abortions in selected low- and...

    • plos.figshare.com
    pdf
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sophia Chae; Sheila Desai; Marjorie Crowell; Gilda Sedgh; Susheela Singh (2023). Characteristics of women obtaining induced abortions in selected low- and middle-income countries [Dataset]. http://doi.org/10.1371/journal.pone.0172976
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sophia Chae; Sheila Desai; Marjorie Crowell; Gilda Sedgh; Susheela Singh
    License

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

    Description

    BackgroundIn 2010–2014, approximately 86% of abortions took place in low- and middle-income countries (LMICs). Although abortion incidence varies minimally across geographical regions, it varies widely by subregion and within countries by subgroups of women. Differential abortion levels stem from variation in the level of unintended pregnancies and in the likelihood that women with unintended pregnancies obtain abortions.ObjectivesTo examine the characteristics of women obtaining induced abortions in LMICs.MethodsWe use data from official statistics, population-based surveys, and abortion patient surveys to examine variation in the percentage distribution of abortions and abortion rates by age at abortion, marital status, parity, wealth, education, and residence. We analyze data from five countries in Africa, 13 in Asia, eight in Europe, and two in Latin America and the Caribbean (LAC).ResultsWomen across all sociodemographic subgroups obtain abortions. In most countries, women aged 20–29 obtained the highest proportion of abortions, and while adolescents obtained a substantial fraction of abortions, they do not make up a disproportionate share. Region-specific patterns were observed in the distribution of abortions by parity. In many countries, a higher fraction of abortions occurred among women of high socioeconomic status, as measured by wealth status, educational attainment, and urban residence. Due to limited data on marital status, it is unknown whether married or unmarried women make up a larger share of abortions.ConclusionsThese findings help to identify subgroups of women with disproportionate levels of abortion, and can inform policies and programs to reduce the incidence of unintended pregnancies; and in LMICs that have restrictive abortion laws, these findings can also inform policies to minimize the consequences of unsafe abortion and motivate liberalization of abortion laws. Program planners, policymakers, and advocates can use this information to improve access to safe abortion services, postabortion care, and contraceptive services.

  5. Abortion statistics, England and Wales: 2012

    • gov.uk
    Updated Jul 11, 2013
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health and Social Care (2013). Abortion statistics, England and Wales: 2012 [Dataset]. https://www.gov.uk/government/statistical-data-sets/statistics-on-abortions-carried-out-in-england-and-wales-in-2012
    Explore at:
    Dataset updated
    Jul 11, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health and Social Care
    Description

    The statistics are obtained from the abortion notification forms returned to the Chief Medical Officers of England and Wales.

    https://assets.publishing.service.gov.uk/media/5a75b92d40f0b67f59fcf1dc/2012_complete_tables_.xlsx">Abortion statistics for 2012: complete tables in Excel

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">707 KB</span></p>
    
    
    
    
     <p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
     <details data-module="ga4-event-tracker" data-ga4-event='{"event_name":"select_content","type":"detail","text":"Request an accessible format.","section":"Request an accessible format.","index_section":1}' class="gem-c-details govuk-details govuk-!-margin-bottom-0" title="Request an accessible format.">
    

    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:publications@dhsc.gov.uk" target="_blank" class="govuk-link">publications@dhsc.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
    

    https://assets.publishing.service.gov.uk/media/5a7c08cbed915d01ba1cab91/Abortion_statistics_2012_tables.zip">Abortion statistics for 2012: complete tables in csv format

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="Zip archive" class="gem-c-attachment_abbr">ZIP</abbr></span>, <span class="gem-c-attachment_attribute">60.8 KB</span></p>
    
    
    
    
     <p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
     <details data-module="ga4-event-tracker" data-ga4-event='{"event_name":"select_content","type":"detail","text":"Request an accessible format.","section":"Request an accessible format.","index_section":1}' class="gem-c-details govuk-details govuk-!-margin-bottom-0" title="Request an accessible format.">
    

    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:publications@dhsc.gov.uk" target="_blank" class="govuk-link">publications@dhsc.gov.uk</a>
    
  6. f

    The raw csv file of the dataset used for analysis in this study.

    • plos.figshare.com
    xlsx
    Updated Jun 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kitale Estella John Kasiano; Lordrick Alinaitwe; Walter Okello; Tubihemukama Methodius; Christopher Joshua Aturinda; Ashiraf Lubega; Esther Sabbath Frazer Togo; Peter Micheal Marin; David Kal Onafruo; Ambrose Samuel Jubara; Savino Biryomumaisho; Clovice Kankya (2025). The raw csv file of the dataset used for analysis in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0325492.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Kitale Estella John Kasiano; Lordrick Alinaitwe; Walter Okello; Tubihemukama Methodius; Christopher Joshua Aturinda; Ashiraf Lubega; Esther Sabbath Frazer Togo; Peter Micheal Marin; David Kal Onafruo; Ambrose Samuel Jubara; Savino Biryomumaisho; Clovice Kankya
    License

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

    Description

    The raw csv file of the dataset used for analysis in this study.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Rachel K. Jones; Jenna Jerman (2023). Characteristics and Circumstances of U.S. Women Who Obtain Very Early and Second-Trimester Abortions [Dataset]. http://doi.org/10.1371/journal.pone.0169969

Characteristics and Circumstances of U.S. Women Who Obtain Very Early and Second-Trimester Abortions

Explore at:
36 scholarly articles cite this dataset (View in Google Scholar)
docxAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
PLOS ONE
Authors
Rachel K. Jones; Jenna Jerman
License

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

Description

ObjectiveTo determine which characteristics and circumstances were associated with very early and second-trimester abortion.MethodsPaper and pencil surveys were collected from a national sample of 8,380 non-hospital U.S. abortion patients in 2014 and 2015. We used self-reported LMP to calculate weeks gestation; when LMP was not provided we used self-reported weeks pregnant. We constructed two dependent variables: obtaining a very early abortion, defined as six weeks gestation or earlier, and obtaining second-trimester abortion, defined as occurring at 13 weeks gestation or later. We examined associations between the two measures of gestation and a range of characteristics and circumstances, including type of abortion waiting period in the patients’ state of residence.ResultsAmong first-trimester abortion patients, characteristics that decreased the likelihood of obtaining a very early abortion include being under the age of 20, relying on financial assistance to pay for the procedure, recent exposure to two or more disruptive events and living in a state that requires in-person counseling 24–72 hours prior to the procedure. Having a college degree and early recognition of pregnancy increased the likelihood of obtaining a very early abortion. Characteristics that increased the likelihood of obtaining a second-trimester abortion include being Black, having less than a high school degree, relying on financial assistance to pay for the procedure, living 25 or more miles from the facility and late recognition of pregnancy.ConclusionsWhile the availability of financial assistance may allow women to obtain abortions they would otherwise be unable to have, it may also result in delays in accessing care. If poor women had health insurance that covered abortion services, these delays could be alleviated. Since the study period, four additional states have started requiring that women obtain in-person counseling prior to obtaining an abortion, and the increase in these laws could slow down the trend in very early abortion.

Search
Clear search
Close search
Google apps
Main menu