Published datasetVerified release

Data from: Broadband Access and Health Outcomes in FCC Priority Counties: A Longitudinal Analysis

The 4 tables and 11 figures from the article, as CSV files and the original images.

Reese Green · Max von Franque · Melissa Martinez · Alister Martin

Published: September 26, 2026
Version: 1.0.0
Files: 23 release files
DOI: 10.55157/csd.broadband.2026.001

About this dataset

Overview

The tables and figures from “Broadband Access and Health Outcomes in FCC Priority Counties: A Longitudinal Analysis,” published in ConductScience Journal on February 24, 2025, as separate files. Each table is a CSV file copied cell by cell from the final accepted manuscript, and each figure is the image embedded in that manuscript. The record holds 4 tables and 11 figures.

Broadband Access Internet Access Diabetes Preventable Hospitalizations Rural Health Access to Care

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Data preview

table-1.csv · first 4 rows

County Characteristic	Counties, n (%)
Rurala	135 (78.9)
PCP Shortageb	51 (29.8)
Persistent Povertyc	44 (25.7)
Veterand	122 (71.3)

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Data dictionary

data_dictionary.csv

table-1.csv

Table 1. Demographics characteristics of FCC 2017 priority counties (N=171).

table-2.csv

Table 2. Trends in preventable hospitalizations, obesity, diabetes, and broadband access in FCC priority counties from 2013- 2020.

figure-1.png

Figure 1. Figure Caption: The Pearson’s correlation matrix explores linear relationships between continuous variables, using averages across all 171 FCC priority counties and over time periods (2013-2020).

table-3.csv

Table 3. Regression analyses of relationships between broadband and health outcomes over time (2013-2020) in FCC priority counties (N=171), controlling for county-level characteristics.

figure-s1a.png

Figure S1A. Figure Caption: Pearson’s correlation matrix of relationships between continuous variables including averages across all 187 FCC priority counties (including the 16 counties identified as potential outlier) and over time periods (2013-2020).

figure-s1b.png

Figure S1B. Figure Caption: Spearman’s correlation matrix of relationships between continuous variables including averages across all 187 FCC priority counties (including the 16 counties identified as potential outlier) and over time periods (2013-2020).

figure-s1c.png

Figure S1C. Figure Caption: Pearson’s correlation matrix of relationships between continuous variables including averages across 171 FCC priority counties (excluding the 16 counties identified as potential outlier) and over time periods (2013-2020).

figure-s1d.png

Figure S1D. Figure Caption: Spearman’s correlation matrix of relationships between continuous variables including averages across all 187 FCC priority counties (including the 16 counties identified as potential outlier) and over time periods (2013-2020).

figure-s2a.png

Figure S2A. Figure Caption: Boxplots explore the mean and variance of percent of diabetes prevalence in a county, grouping by county characteristics and averaging across FCC priority counties (N=171) and over time (2013-2020). PCPS: Primary Care Physician Shortage; PP: Persistent Poverty; Vet: Veteran.

figure-s2b.png

Figure S2B. Figure Caption: Boxplots explore the mean and variance of obesity prevalence in a county, grouping by county characteristics and averaging across FCC priority counties (N=171) and over time (2013-2020). PCPS: Primary Care Physician Shortage; PP: Persistent Poverty; Vet: Veteran.

figure-s2c.png

Figure S2C. Figure Caption: Boxplots explore the mean and variance of the number of preventable hospitalizations in a county, grouping by county characteristics and averaging across FCC priority counties (N=171) and over time (2013-2020). PCPS: Primary Care Physician Shortage; PP: Persistent Poverty; Vet: Veteran.

figure-s2d.png

Figure S2D. Figure Caption: Boxplots explore the mean and variance of broadband speed (Mbps) in a county, grouping by county characteristics and averaging across FCC priority counties (N=171) and over time (2013-2020). PCPS: Primary Care Physician Shortage; PP: Persistent Poverty; Vet: Veteran.

figure-s2e.png

Figure S2E. Figure Caption: Boxplots explore the mean and variance of percent of households in a county with broadband subscriptions, grouping by county characteristics and averaging across FCC priority counties (N=171) and over time (2013-2020). PCPS: Primary Care Physician Shortage; PP: Persistent Poverty; Vet: Veteran.

figure-s2f.png

Figure S2F. Figure Caption: Boxplots explore the mean and variance of percent of households in a county with advanced broadband speeds (> 25 Mbps), grouping by county characteristics and averaging across FCC priority counties (N=171) and over time (2013-2020). PCPS: Primary Care Physician Shortage; PP: Persistent Poverty; Vet: Veteran.

table-s1.csv

Table S1. Sensitivity analyses of relationships between broadband and health outcomes over time (2013-2020) in FCC priority counties including potential outliers (N=187), controlling for county-level characteristics.

Files

broadband-health-outcomes-data-1.0.0.zip

1.4 MB

Complete frozen release: 21 source-manifest files plus MANIFEST.json.

SHA-256 175f0a5e8e3811c64b6edad09013137829ef6c300536daceec0924db9e2f143b

Data from: Broadband Access and Health Outcomes in FCC Priority Counties: A Longitudinal Analysis

Overview

Data preview

Data dictionary

Files

Methods

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