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 801825 of 4,510

Dam NameHeight (ft)YearHazardCondition
F A Anderson Lake Number 2 Dam

Amite County

20LowNot Rated
Faggart Dam

Panola County

18LowNot Rated
Fahbrach Lake Dam

Newton County

8LowNot Rated
Fairley Lake Dam

Stone County

10LowNot Rated
Fairley Lake Dam

Harrison County

15LowNot Rated
Fair Watershed Structure Y-24-1 Dam

Chickasaw County

161962LowNot Rated
Fair Watershed Structure Y-24-2 Dam

Chickasaw County

121962LowNot Rated
Falls Crossing A

Madison County

112017LowNot Rated
Farm Fresh Catfish Ponds

Washington County

81970LowNot Rated
Farm Fresh Catfish Ponds

Washington County

81970LowNot Rated
Farm Fresh Catfish Ponds

Washington County

81970LowNot Rated
Farm Land Company Lake Number 1 Dam

Warren County

30LowNot Rated
Farm Land Company Lake Number 2 Dam

Warren County

20LowNot Rated
Farm Land Company Lake Number 3 Dam

Warren County

10LowNot Rated
Farm Land Company Lake Number 4 Dam

Claiborne County

19LowNot Rated
Farm Land Company Lake Number 5 Dam

Claiborne County

18LowNot Rated
Fassmann Frac Pond Dam

Wilkinson County

252014LowNot Rated
F B Hayes Lake Dam

Madison County

16LowNot Rated
Felder Lake Dam

Pike County

15LowNot Rated
Fellows Lake Dam

Monroe County

292000LowNot Rated
Ferguson Lake Dam

Harrison County

13LowNot Rated
Fernwood Sewage Lagoon Dam

Pike County

8LowNot Rated
Fisher Lake Dam

Monroe County

122011LowNot Rated
Five Counties Sportsman Lake Dam

Lee County

28LowNot Rated
Fleming Lake Dam

Lowndes County

231982LowNot Rated
PreviousPage 33 of 181Next

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