Mississippi Dams

6,089 dams tracked by the National Inventory of Dams

Total Dams

6,089

High Hazard

348

5.7%

Poor / Unsatisfactory

273

Average Age

48 yrs

Hazard Classification

High348 (5.7%)
Significant66 (1.1%)
Low4,510 (74.1%)

Condition Assessment

Satisfactory194 (3.2%)
Fair180 (3.0%)
Poor / Unsatisfactory273 (4.5%)
Not Rated5,442 (89.4%)

Federal

48

State

62

Local

649

Private

5,311

All Dams in Mississippi

Showing 226250 of 6,089

Dam NameHeight (ft)YearHazardCondition
Bentonia Watershed Structure 8 Dam

Yazoo County

281964LowNot Rated
Bentonia Watershed Structure 9 Dam

Yazoo County

331964LowNot Rated
Ben Vaughn Lake Dam

Lowndes County

211996LowNot Rated
Berford Electric Company Lake

Lowndes County

151979LowNot Rated
Bernard Lake Dam

Hinds County

23LowNot Rated
Berryhill Lake

Humphreys County

81968LowNot Rated
Berry Lake Dam

Simpson County

221994LowNot Rated
B. G. Janous Pond

Humphreys County

81968LowNot Rated
B. G. Janous Pond

Humphreys County

81970LowNot Rated
B Hardy Pond Dam

Lauderdale County

15LowNot Rated
B Harvey Number 1 Dam

Wilkinson County

201999LowNot Rated
B H Cooper Lake Dam

Madison County

18LowFair
Biard Lake Dam

Hinds County

191987HighPoor
Biddle Lake Dam

Itawamba County

17LowUnsatisfactory
Big Bay Lake Dam

Lamar County

602010HighSatisfactory
Big Creek Water Park Dam

Jones County

281976HighFair
Big Creek Watershed Structure 13 Dam

Jasper County

371979SignificantFair
Big Creek Watershed Structure 14 Dam

Jasper County

281975LowNot Rated
Big Creek Watershed Structure 15 Dam

Smith County

221976HighFair
Big Creek Watershed Structure 2 Dam

Jasper County

291977LowNot Rated
Big Creek Watershed Structure 4 Dam

Jasper County

251982LowNot Rated
Big Creek Watershed Structure 9 Dam

Jones County

301975HighPoor
Big Lake Dam

Calhoun County

251955HighUnsatisfactory
Big Pine Lake Dam

Simpson County

42LowNot Rated
Big Sand Watershed Structure Y-32-01 Dam

Carroll County

361965LowNot Rated
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Data sourced from the National Inventory of Dams (NID). Hazard classification reflects potential consequences of failure, not the likelihood of failure.