Updated Methodology to Estimate Overall and Unintended Pregnancy Rates in the United States

Abstract

This report describes an updated methodology to estimate overall and unintended pregnancy rates for the United States from 2010–2019, and examines differences by demographic factors. Machine learning models were used to impute missing information on induced abortions, and data integration methods were used to combine estimates of abortions, live births, and pregnancy losses to produce estimates of the total numbers of pregnancies occurring from 2010–2019 and corresponding pregnancy rates, along with outcomes related to unintended pregnancy.