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Cited by 272

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Breaking Up Is Hard to Count: The Rise of Divorce in the United States, 1980–2010

Open access
Kennedy, Sheela, Ruggles, Steven·2014·Demography

Abstract

This article critically evaluates the available data on trends in divorce in the United States. We find that both vital statistics and retrospective survey data on divorce after 1990 underestimate recent marital instability. These flawed data have led some analysts to conclude that divorce has been stable or declining for the past three decades. Using new data from the American Community Survey and controlling for changes in the age composition of the married population, we conclude that there was actually a substantial increase in age-standardized divorce rates between 1990 and 2008. Divorce rates have doubled over the past two decades among persons over age 35. Among the youngest couples, however, divorce rates are stable or declining. If current trends continue, overall age-standardized divorce rates could level off or even decline over the next few decades. We argue that the leveling of divorce among persons born since 1980 probably reflects the increasing selectivity of marriage.

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Metadata

Authors
Kennedy, S., & Ruggles, S.
Venue
Demography
Published
2014-01-08
Volume
51
Issue
2
Pages
587-598
ISSN
  • 0070-3370 (ISSN-L)
  • 1533-7790
OpenAlex
W2111969938
Cited by
272
References
24
FWCI
71.61
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Breaking Up Is Hard to Count: The Rise of Divorce in the United States, 1980–2010. https://app.cochat.ai/papers/10.1007/s13524-013-0270-9
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Kennedy, S., & Ruggles, S. (2014). Breaking Up Is Hard to Count: The Rise of Divorce in the United States, 1980–2010. Demography. https://doi.org/10.1007/s13524-013-0270-9

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.