Racial/ethnic and income disparities in neighborhood-level broadband access in 905 US cities, 2017–2021
Broadband access is an essential social determinant of health, the importance of which was made apparent during the COVID-19 pandemic. We sought to understand disparities in broadband access within cities and identify potential solutions to increase urban access. This was a descriptive secondary ana...
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Published in: | Public health (London) Vol. 217; pp. 205 - 211 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Netherlands
Elsevier Ltd
01-04-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | Broadband access is an essential social determinant of health, the importance of which was made apparent during the COVID-19 pandemic. We sought to understand disparities in broadband access within cities and identify potential solutions to increase urban access.
This was a descriptive secondary analysis using multi-year cross-sectional survey data.
Data were obtained from the City Health Dashboard and American Community Survey. We studied broadband access in 905 large US cities, stratifying neighborhood broadband access by neighborhood median household income and racial/ethnic composition.
In 2017, 30% of urban households across 905 large US cities did not have access to high-speed broadband internet. After controlling for median household income, broadband access in majority Black and Hispanic neighborhoods was 10–15% lower than in majority White or Asian neighborhoods. Over time, lack of broadband access in urban households decreased from 30% in 2017 to 24% in 2021, but racial and income disparities persisted.
As an emerging social determinant, broadband access impacts health across the life course, affecting students' ability to learn and adults’ ability to find and retain jobs. Resolving lack of broadband access remains an urban priority. City policymakers can harness recent infrastructure funding opportunities to reduce broadband access disparities. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author statements Y.L. performed data analysis and wrote the article. T.L. and P.H. conducted the initial metric research. B.R.S., L.E.T., and M.N.G. generated the research idea and supervised the work. A.V. performed data analysis in revision. All authors reviewed and contributed to the final version of the article. Author contributions |
ISSN: | 0033-3506 1476-5616 |
DOI: | 10.1016/j.puhe.2023.02.001 |