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 42514275 of 4,510

Dam NameHeight (ft)YearHazardCondition
Bogue Watershed Structure Y-30-034 Dam

Montgomery County

241960LowNot Rated
Bogue Watershed Structure Y-30-020 Dam

Grenada County

181960LowNot Rated
Boggan Dam

Simpson County

22LowNot Rated
Bock Lakedam Dam

Oktibbeha County

10LowNot Rated
Bob Ray Lake Dam

Madison County

14LowNot Rated
Bob Malone Catfish Pond Dam

Bolivar County

8LowNot Rated
Bob Gillforth Lake Dam

Holmes County

13LowNot Rated
Bobby Smith Lake Dam

Neshoba County

211995LowNot Rated
Bobby Sides Lake Dam

Hancock County

17LowNot Rated
Bobby Mcleod Lake Dam

Greene County

11LowNot Rated
Bobby Duncan Lake

Sunflower County

81966LowNot Rated
B Morris Catfish Pond Dam

Yalobusha County

8LowNot Rated
B M Brignse Lake Dam

Hancock County

13LowNot Rated
Bluff Lake Dam

Noxubee County

12LowNot Rated
Bluff Lake Dam

Noxubee County

171960LowFair
Blue Channel Catfish INC Lake

Tallahatchie County

81967LowNot Rated
Blue Channel Catfish INC Lake

Tallahatchie County

81967LowNot Rated
B L Sullivan Pond Dam

Lowndes County

21LowNot Rated
Bledsoe Lake Dam

Washington County

8LowNot Rated
Blaylock Pond Dam

Montgomery County

20LowNot Rated
Blackwell Lake Number 2 Dam

Smith County

15LowNot Rated
Blackwell Lake Dam

Smith County

12LowNot Rated
Black Watershed Structure Y-36-55 Dam

Holmes County

311964LowNot Rated
Black Watershed Structure Y-36-54 Dam

Holmes County

351964LowNot Rated
Black Watershed Structure Y-36-53 Dam

Holmes County

431964LowNot Rated
PreviousPage 171 of 181Next

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