Disability

Vision Disability by County — US Rankings

CDC PLACES 2023 · Age-adjusted prevalence · All 3,144 US counties

Vision disability is the share of adults who are blind or have serious difficulty seeing even with glasses. PLACES age-adjusts the estimate. After age adjustment, the variance across counties reflects diabetes prevalence (diabetic retinopathy), glaucoma management, and access to ophthalmology. The highest-prevalence counties often overlap with the diabetes belt — that connection is real, even if any one resident's vision loss has a different cause.

How this ranking is built

Source: CDC PLACES 2023 release. Methodology: BRFSS survey responses pooled across years, fitted with a small-area statistical model, age-adjusted to the 2000 US standard population. Confidence intervals (95%) are shown for each county — wider intervals indicate more uncertainty in the modeled estimate, typically driven by smaller populations.

Lowest Vision Disability Rates — Top 100 Counties

Counties with the lowest reported vision disability prevalence — these counties show the most favorable position on this measure.

#CountyRate
1Falls Church city2.5%
2Douglas County2.7%
3Los Alamos County2.7%
4Delaware County2.7%
5Hinsdale County2.8%
6Hamilton County2.8%
7Broomfield County2.9%
8Pitkin County2.9%
9Dallas County2.9%
10Johnson County2.9%
11Nantucket County2.9%
12Carver County2.9%
13Hunterdon County2.9%
14Williamson County2.9%
15Arlington County2.9%
16Ouray County3.0%
17Oconee County3.0%
18Monroe County3.0%
19Howard County3.0%
20Washington County3.0%
21Rockingham County3.0%
22Morgan County3.0%
23Summit County3.0%
24Ozaukee County3.0%
25Waukesha County3.0%
26Teton County3.0%
27Forsyth County3.1%
28Boone County3.1%
29Warren County3.1%
30Cumberland County3.1%
31Middlesex County3.1%
32Norfolk County3.1%
33Livingston County3.1%
34Morris County3.1%
35Warren County3.1%
36Bristol County3.1%
37Lincoln County3.1%
38Loudoun County3.1%
39Clear Creek County3.2%
40Routt County3.2%
41Carroll County3.2%
42Barnstable County3.2%
43Dukes County3.2%
44Leelanau County3.2%
45Scott County3.2%
46Saratoga County3.2%
47Union County3.2%
48Newport County3.2%
49Washington County3.2%
50Chittenden County3.2%
51Albemarle County3.2%
52Goochland County3.2%
53King County3.2%
54St. Croix County3.2%
55Elbert County3.3%
56Gunnison County3.3%
57Jefferson County3.3%
58San Miguel County3.3%
59Warrick County3.3%
60Bremer County3.3%
61Grundy County3.3%
62Madison County3.3%
63Marion County3.3%
64Calvert County3.3%
65Dakota County3.3%
66Dodge County3.3%
67Wright County3.3%
68St. Charles County3.3%
69Sarpy County3.3%
70Washington County3.3%
71Monmouth County3.3%
72Somerset County3.3%
73Medina County3.3%
74Addison County3.3%
75Poquoson city3.3%
76San Juan County3.3%
77Washington County3.3%
78Marin County3.4%
79Park County3.4%
80Summit County3.4%
81DuPage County3.4%
82Piatt County3.4%
83Dickinson County3.4%
84Mills County3.4%
85Winneshiek County3.4%
86Anne Arundel County3.4%
87Frederick County3.4%
88Queen Anne's County3.4%
89Oakland County3.4%
90Olmsted County3.4%
91Sherburne County3.4%
92Gallatin County3.4%
93Saunders County3.4%
94Carroll County3.4%
95Sussex County3.4%
96Geauga County3.4%
97Stanley County3.4%
98Wasatch County3.4%
99Grand Isle County3.4%
100Washington County3.4%

Best 100 counties for Vision Disability.

Highest Vision Disability Rates — Bottom 100 CountiesCounties with the highest reported vision disability prevalence.
#CountyRate
1Oglala Lakota County17.5%
2Todd County16.3%
3Dimmit County15.5%
4Zavala County15.3%
5Starr County14.7%
6Zapata County14.2%
7Jim Hogg County14.1%
8Kusilvak Census Area13.8%
9Sioux County13.5%
10East Carroll Parish13.1%
11McKinley County12.9%
12Willacy County12.6%
13Humphreys County12.3%
14Holmes County11.9%
15Bullock County11.9%
16Brooks County11.8%
17Tunica County11.7%
18Madison Parish11.7%
19Greene County11.7%
20Mellette County11.6%
21Corson County11.6%
22Maverick County11.5%
23Buffalo County11.4%
24Sharkey County11.4%
25Quitman County11.4%
26Presidio County11.3%
27Hidalgo County11.3%
28Apache County11.3%
29Ziebach County11.2%
30Bethel Census Area11.1%
31Perry County11.1%
32Cochran County11.0%
33Luna County11.0%
34Jefferson County11.0%
35Coahoma County11.0%
36Hudspeth County10.9%
37Cameron County10.9%
38Claiborne Parish10.9%
39Reeves County10.8%
40Jackson County10.7%
41Dewey County10.7%
42Claiborne County10.7%
43Leflore County10.6%
44Bennett County10.5%
45Robeson County10.5%
46Randolph County10.5%
47La Salle County10.4%
48Wilcox County10.4%
49Lowndes County10.4%
50Webb County10.3%
51Duval County10.3%
52Desha County10.3%
53Yazoo County10.2%
54Sunflower County10.2%
55Tensas Parish10.2%
56Washington County10.1%
57Noxubee County10.1%
58Issaquena County10.1%
59Stewart County10.1%
60Macon County10.1%
61Frio County10.0%
62Lake County10.0%
63Glacier County10.0%
64Deaf Smith County9.9%
65Telfair County9.9%
66Atkinson County9.9%
67Hendry County9.9%
68Imperial County9.9%
69Phillips County9.9%
70Jim Wells County9.8%
71Culberson County9.8%
72Bolivar County9.8%
73Hancock County9.8%
74Bronx County9.7%
75Lee County9.7%
76Bienville Parish9.5%
77Northwest Arctic Borough9.5%
78Dillon County9.4%
79Rolette County9.4%
80Nome Census Area9.4%
81Allendale County9.3%
82Wilkinson County9.3%
83Terrell County9.3%
84Dallas County9.3%
85Pecos County9.2%
86Marlboro County9.2%
87Marion County9.2%
88Adair County9.2%
89Big Horn County9.2%
90Morehouse Parish9.2%
91Concordia Parish9.2%
92Gadsden County9.2%
93Val Verde County9.1%
94Kenedy County9.1%
95Guadalupe County9.1%
96Tallahatchie County9.1%
97Adams County9.1%
98St. Francis County9.1%
99Yukon-Koyukuk Census Area9.1%
100Swisher County9.0%

Worst 100 counties for Vision Disability.

What this ranking suggests

Vision rankings are most useful when read alongside the DIABETES ranking and the local primary-care density. Diabetic eye care is one of the clearest preventable causes of working-age vision loss in the US, and county-level outcomes track upstream diabetes management.

Methodology notes & limitations

Estimates are statistical model outputs, not direct measurements. Small counties have wider confidence intervals; treat narrow rank differences in those rows as within-noise. Counties where the underlying population is too small to support modeling are suppressed entirely (about 1% of US counties). All measures are age-adjusted to the 2000 US standard population. The PLACES dataset uses BRFSS self-reported data — self-report introduces known direction-of-bias in some measures (BMI is under-reported; binge drinking is under-reported), but the bias is roughly uniform across counties so ranking comparability is preserved. See the methodology page for full data-pipeline documentation.

By Logan Johnson, Founder & Data EditorPublished Reviewed by Logan Johnson, Founder & Data Editor

Data source: CDC PLACES 2023 release. Measure ID: VISION.

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