Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
This project contains a dataset of estimates of detailed state-specific travel patterns for 2019 produced using public data from the Centers for Disease Control and Prevention (CDC), combined with data from the Guttmacher Institute’s 2019-2020 Abortion Provider Census. The dataset is available in three formats: as a CSV file, as a Stata dataset, and as an RDS (R) file. Columns (variables) in the dataset represent state of residence; rows represent state of occurrence. All numbers are rounded to the nearest 10, and cells with <100 cases (including cells with 0 cases) are suppressed and denoted as "-", ".a" and "NA" in the CSV file, Stata file and RDS files, respectively. 2019 and 2020 estimates of abortion rates by state of residence, numbers of abortions by state of residence, and the percent of people obtaining abortions who traveled across state lines to obtain care are available on the [Guttmacher Data Center][1], along with historical trends for those measures. Note that, in contrast to the dataset posted on OSF, estimates on the Guttmacher Data Center incorporate some additional data collected directly from health departments; these data are not incorporated into the dataset of state-specific travel patterns because of data restrictions. As a result, estimates on the Data Center and the accompanying publication may differ slightly from estimates produced using the dataset posted here. [1]: https://data.guttmacher.org/states
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.