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Cited by 434

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Understanding teacher shortages: An analysis of teacher supply and demand in the United States

Open access
Sutcher, Leib, Darling-Hammond, Linda, Carver-Thomas, Desiree·2019·Education Policy Analysis Archives

Abstract

This paper reviews the sources of and potential solutions to teacher shortages in the United States. It describes the sources of current and projected increases in teacher demand relative to enrollments, shifts in pupil-teacher ratios, and attrition. It places these in relation to recent declines in teacher supply and evaluates evidence of shortages in fields like mathematics, science, special education, and educators for English learners, as well as in particular parts of the country. Our analysis using national databases through 2016 predicted an estimated annual teacher shortage of approximately 112,000 teachers in 2017-18. Our recent review of state teacher workforce reports estimated 109,000 individuals were uncertified for their teaching positions in the US in 2017, roughly approximating our projections. We discuss the factors driving shortages and, based on previous research, identify responses that might ameliorate these trends.

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Metadata

Authors
Sutcher, L., Darling-Hammond, L., & Carver-Thomas, D.
Venue
Education Policy Analysis Archives
Published
2019-04-08
Volume
27
Pages
35
ISSN
1068-2341 (ISSN-L)
OpenAlex
W2937707043
Cited by
434
References
3
FWCI
86.99
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Understanding teacher shortages: An analysis of teacher supply and demand in the United States. https://app.cochat.ai/papers/10.14507/epaa.27.3696
The paper
Sutcher, L., Darling-Hammond, L., & Carver-Thomas, D. (2019). Understanding teacher shortages: An analysis of teacher supply and demand in the United States. Education Policy Analysis Archives. https://doi.org/10.14507/epaa.27.3696

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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.