Alabama Dams

2,255 dams tracked by the National Inventory of Dams

Total Dams

2,255

High Hazard

217

9.6%

Poor / Unsatisfactory

6

Average Age

60 yrs

Hazard Classification

High217 (9.6%)
Significant443 (19.6%)
Low1,594 (70.7%)

Condition Assessment

Satisfactory11 (0.5%)
Fair3 (0.1%)
Poor / Unsatisfactory6 (0.3%)
Not Rated2,235 (99.1%)

Federal

44

State

53

Local

85

Private

2,049

All Dams in Alabama

Showing 251275 of 443

Dam NameHeight (ft)YearHazardCondition
J P Bertolli

Baldwin County

151955SignificantNot Rated
Johnstons Lake Dam

Lowndes County

SignificantNot Rated
Johnson Pond Dam

Blount County

181958SignificantNot Rated
John Green Dam

Choctaw County

SignificantNot Rated
J M Gentry

Dallas County

SignificantNot Rated
J M Gaston No 2 Dam

Dallas County

221968SignificantNot Rated
J.L.Morrison Dam No.2

Hale County

371970SignificantNot Rated
J.L.Morrison Dam No.1

Hale County

271970SignificantNot Rated
J L Crenshaw No 1 Dam

Lowndes County

351960SignificantNot Rated
Jimmy Johnston

Madison County

181966SignificantNot Rated
Jessie Forrester

Houston County

171968SignificantNot Rated
J D Phillips Lake Dam

Clarke County

221975SignificantNot Rated
J.B.Thomas Dam

Hale County

SignificantNot Rated
Jaycee Partlow Dam Number Two

Tuscaloosa County

111937SignificantNot Rated
Jaycee Partlow Dam Number One

Tuscaloosa County

121937SignificantNot Rated
James Sykes

Montgomery County

141981SignificantNot Rated
James Crooks Lake Dam

Dale County

SignificantNot Rated
James

St. Clair County

301964SignificantNot Rated
Jack Wool

Montgomery County

151955SignificantNot Rated
Jackie Osment

Lee County

171969SignificantNot Rated
Jack House Dam

Pickens County

201979SignificantNot Rated
Jack Hardenbergh Dam

Hale County

181968SignificantNot Rated
Indian Hills Lake

Tuscaloosa County

261963SignificantNot Rated
Impoundment No. 3

Jefferson County

25SignificantNot Rated
Impoundment No. 3

Jefferson County

80SignificantNot 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.