Table 1.
Metropolitan Counties with Significant Disparities in Access to Health Care Facilities at the 1 Mile Threshold
| County Name | State | Population | Proportion of non-low-income population with distance > 1 mi (%) | Proportion of low-income population with distance > 1 mi (%) | Odds ratio of distance > 1 mi for low-income vs. non-low-income |
|---|---|---|---|---|---|
| Dallas | Texas | 2,635,516 | 39 | 44 | 1.18 (1.12, 1.14) |
| Collin | Texas | 1,034,730 | 37 | 42 | 1.21 (1.07, 1.24) |
| San Francisco | California | 881,549 | 2 | 4 | 1.93 (1.43, 1.94) |
| Hidalgo | Texas | 868,707 | 60 | 67 | 1.35 (1.22, 1.34) |
| El Paso | Texas | 839,238 | 42 | 45 | 1.11 (1.02, 1.14) |
| Richmond | Virginia | 230,436 | 26 | 31 | 1.32 (1.08, 1.34) |
| Clay | Florida | 219,252 | 73 | 80 | 1.48 (1.14, 1.44) |
| Monroe | Pennsylvania | 170,271 | 81 | 86 | 1.41 (1.05, 1.44) |
| Guadalupe | Texas | 166,847 | 68 | 76 | 1.50 (1.12, 1.54) |
| Ector | Texas | 166,223 | 51 | 57 | 1.27 (1.02, 1.24) |
| Coweta | Gorgia | 148,509 | 76 | 83 | 1.49 (1.08, 1.44) |
| Hardin | Kentucky | 110,958 | 60 | 67 | 1.39 (1.05, 1.34) |
The table lists counties categorized as metropolitan by the National Center for Health Statistics Urban–Rural Classification Scheme for Counties, with a population of at least 10,000 people, and where low-income residents had a significantly higher risk of having a driving distance > 1 mile to the nearest health care facility, compared to non-low-income residents. Low income was defined as household income < 200% Federal Poverty Level. Counties were ranked by decreasing population