College closures from 2020 to 2025: An exploratory analysis and its implications for the enrollment cliff
Abstract
The COVID-19 pandemic produced a modest wave of college closures and mergers that may offer an early, if imperfect, preview of the demographic "enrollment cliff" anticipated in the coming decade. This paper examines the institutions that closed or merged between 2020 and the end of 2025. We assemble a dataset of 65 such institutions, pairing institutional characteristics with state- and regional-level demographic, economic, and financial indicators, and supplement it with a corpus of news coverage of the closures. Using a combination of Bayesian models, dimensionality reduction, clustering, and topic modeling, we describe where these closures occurred, what the closed institutions had in common, and how they were discussed publicly. Consistent with prior demographic projections, closures were more frequent in the Northeast and Midwest, though the absolute numbers remain small. The closed institutions were heterogeneous rather than uniform: financial structure, regional demographics, and institutional mission each contributed to distinguishing them, and religious affiliation recurred prominently in media coverage. We frame these results as exploratory and descriptive given the small sample, and we discuss what they may, and may not, imply for institutions navigating the enrollment cliff.
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BibTeX
@misc{akbari2026college,
title = {{College closures from 2020 to 2025: An exploratory analysis and its implications for the enrollment cliff}},
author = {Sepehr Akbari and Shahrzad Jamshidi},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2607.07917},
eprint = {2607.07917},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2607.07917},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - College closures from 2020 to 2025: An exploratory analysis and its implications for the enrollment cliff
AU - Sepehr Akbari
AU - Shahrzad Jamshidi
PY - 2026
DA - 2026/09/11
PB - arXiv
DO - 10.48550/arxiv.2607.07917
UR - https://arxiv.org/abs/2607.07917
AB - The COVID-19 pandemic produced a modest wave of college closures and mergers that may offer an early, if imperfect, preview of the demographic "enrollment cliff" anticipated in the coming decade. This paper examines the institutions that closed or merged between 2020 and the end of 2025. We assemble a dataset of 65 such institutions, pairing institutional characteristics with state- and regional-level demographic, economic, and financial indicators, and supplement it with a corpus of news coverage of the closures. Using a combination of Bayesian models, dimensionality reduction, clustering, and topic modeling, we describe where these closures occurred, what the closed institutions had in common, and how they were discussed publicly. Consistent with prior demographic projections, closures were more frequent in the Northeast and Midwest, though the absolute numbers remain small. The closed institutions were heterogeneous rather than uniform: financial structure, regional demographics, and institutional mission each contributed to distinguishing them, and religious affiliation recurred prominently in media coverage. We frame these results as exploratory and descriptive given the small sample, and we discuss what they may, and may not, imply for institutions navigating the enrollment cliff.
ER -