Health Risk Behaviors

Binge Drinking by County — US Rankings

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

Binge drinking is defined by the CDC as five or more drinks for men or four or more for women on a single occasion in the past 30 days. PLACES models age-adjusted prevalence from BRFSS self-report. The pattern at the county level is, surprisingly to many readers, inverse to the chronic-disease "belt" geography: the highest binge-drinking prevalence often shows up in college towns, oil-and-gas boom counties, and high-income coastal metros. Self-report likely understates the true level across the board, but the geographic pattern is consistent across years.

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 Binge Drinking Rates — Top 100 Counties

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

#CountyRate
1Utah County8.2%
2San Juan County10.3%
3Davis County10.5%
4Holmes County10.6%
5Humphreys County10.6%
6Greene County10.7%
7Claiborne County10.7%
8Tunica County10.7%
9Cache County10.8%
10Coahoma County10.9%
11Sharkey County10.9%
12Jefferson County11.0%
13Box Elder County11.0%
14Perry County11.1%
15Quitman County11.1%
16Washington County11.1%
17Lowndes County11.2%
18Washington County11.3%
19Wilcox County11.5%
20Noxubee County11.5%
21Weber County11.5%
22Macon County11.6%
23Iron County11.6%
24Millard County11.6%
25Bullock County11.7%
26Dallas County11.7%
27Sumter County11.7%
28Clayton County11.8%
29Sanpete County11.8%
30Petersburg city11.8%
31Dougherty County11.9%
32Leflore County11.9%
33Duchesne County11.9%
34Randolph County12.0%
35Bolivar County12.0%
36Piute County12.0%
37Carbon County12.1%
38Wayne County12.1%
39Emporia city12.1%
40Robeson County12.2%
41Phillips County12.3%
42Sevier County12.3%
43Jefferson Davis County12.4%
44Sunflower County12.4%
45Desha County12.5%
46Pike County12.5%
47Haywood County12.5%
48Danville city12.5%
49Hale County12.6%
50Clay County12.7%
51Clay County12.7%
52Hinds County12.7%
53Wilkinson County12.7%
54McKinley County12.7%
55Emery County12.7%
56Kane County12.7%
57Wasatch County12.7%
58Hancock County12.8%
59Macon County12.8%
60Terrell County12.8%
61Beaver County12.8%
62Garfield County12.8%
63Rich County12.8%
64Franklin city12.8%
65Hopewell city12.8%
66Conecuh County12.9%
67Madison County12.9%
68Yazoo County12.9%
69Juab County12.9%
70Tooele County12.9%
71Uintah County12.9%
72Montgomery County13.0%
73Prince George's County13.0%
74Winston County13.0%
75Hertford County13.0%
76Daggett County13.0%
77Grand County13.0%
78Martinsville city13.0%
79Marengo County13.1%
80Kemper County13.1%
81Apache County13.2%
82Crittenden County13.2%
83Gadsden County13.2%
84Gwinnett County13.2%
85Adams County13.2%
86Issaquena County13.2%
87Tallahatchie County13.2%
88Edgecombe County13.2%
89Santa Clara County13.3%
90Early County13.3%
91Quitman County13.3%
92Warren County13.3%
93Marshall County13.3%
94Panola County13.3%
95Washington County13.3%
96Madison County13.3%
97Morgan County13.3%
98Butler County13.4%
99Clarke County13.4%
100Monroe County13.4%

Best 100 counties for Binge Drinking.

Highest Binge Drinking Rates — Bottom 100 CountiesCounties with the highest reported binge drinking prevalence.
#CountyRate
1Lyon County26.3%
2Denver County24.4%
3Garfield County24.3%
4Gage County24.3%
5Pembina County24.2%
6Butler County24.2%
7Missoula County24.1%
8Buchanan County24.1%
9Saunders County24.0%
10Chickasaw County24.0%
11Barnes County23.9%
12Cavalier County23.8%
13Butler County23.8%
14Jackson County23.8%
15Williams County23.7%
16Washington County23.7%
17Stanton County23.7%
18Johnson County23.7%
19Antelope County23.7%
20Richland County23.7%
21Madison County23.7%
22Plymouth County23.7%
23Boone County23.7%
24Waukesha County23.6%
25Grand Forks County23.6%
26Loup County23.6%
27Warren County23.6%
28Bremer County23.6%
29Washington County23.5%
30Traill County23.5%
31Renville County23.5%
32Oliver County23.5%
33McCone County23.5%
34Madison County23.5%
35Jones County23.5%
36Stutsman County23.4%
37Sargent County23.4%
38Foster County23.4%
39Divide County23.4%
40Wayne County23.4%
41Powell County23.4%
42Carbon County23.4%
43Ringgold County23.4%
44Fayette County23.4%
45Cedar County23.4%
46Benton County23.4%
47Richland County23.3%
48Kidder County23.3%
49Burke County23.3%
50Howard County23.3%
51Ravalli County23.3%
52Mitchell County23.3%
53Marion County23.3%
54Hancock County23.3%
55Outagamie County23.2%
56Morton County23.2%
57McLean County23.2%
58Bottineau County23.2%
59Dawson County23.2%
60Shelby County23.2%
61Harrison County23.2%
62Grundy County23.2%
63Clinton County23.2%
64Clayton County23.2%
65Slope County23.1%
66Pierce County23.1%
67LaMoure County23.1%
68Perkins County23.1%
69Boone County23.1%
70Gallatin County23.1%
71Daniels County23.1%
72Broadwater County23.1%
73Sac County23.1%
74Palo Alto County23.1%
75Mills County23.1%
76Ida County23.1%
77Dubuque County23.1%
78Waupaca County23.0%
79Steele County23.0%
80Nelson County23.0%
81Phillips County23.0%
82Petroleum County23.0%
83Jefferson County23.0%
84Granite County23.0%
85Webster County23.0%
86Washington County23.0%
87Scott County23.0%
88Kossuth County23.0%
89Hardin County23.0%
90Guthrie County23.0%
91Carroll County23.0%
92Charleston County22.9%
93Ransom County22.9%
94Bowman County22.9%
95Polk County22.9%
96Cass County22.9%
97Fallon County22.9%
98Custer County22.9%
99Carter County22.9%
100Becker County22.9%

Worst 100 counties for Binge Drinking.

What this ranking suggests

Binge drinking is a behavioral measure, not a clinical one. Counties with high binge rates do not necessarily have proportional rates of alcohol-related disease — that signal lives downstream in CHD, stroke, and cancer prevalence, often with a 10–20-year lag.

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: BINGE.

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