Ohio Dams

1,377 dams tracked by the National Inventory of Dams

Total Dams

1,377

High Hazard

397

28.8%

Poor / Unsatisfactory

509

Average Age

65 yrs

Hazard Classification

High397 (28.8%)
Significant564 (41.0%)
Low339 (24.6%)

Condition Assessment

Satisfactory324 (23.5%)
Fair421 (30.6%)
Poor / Unsatisfactory509 (37.0%)
Not Rated123 (8.9%)

Federal

39

State

115

Local

356

Private

753

All Dams in Ohio

Showing 151175 of 397

Dam NameHeight (ft)YearHazardCondition
Mont-Mere Lake Dam

Geauga County

281969HighFair
Monroe Lake Dam

Monroe County

581956HighFair
Mohicanville Dam

Ashland County

461937HighNot Available
Mohawk Dam

Coshocton County

1111937HighNot Available
Mogadore Reservoir Dam

Portage County

361938HighPoor
Mineral Springs Resort Lake Dam

Adams County

671973HighFair
Mineral Ridge Dam

Trumbull County

601932HighPoor
Michael J. Kirwan Dam

Portage County

831966HighNot Available
Metzger Upground Reservoir

Allen County

451946HighFair
Meigs-Phillips I No. 1 Dam

Belmont County

581987HighFair
Meigs Mine No. 1 Slurry Impoundment

Meigs County

131HighNot Rated
Mckelvey Lake Dam

Mahoning County

771926HighFair
Mccomb Upground Reservoir No. 2

Hancock County

321979HighFair
Mccomb Upground Reservoir No. 1

Hancock County

171953HighFair
Marysville Upground Reservoir

Union County

482009HighSatisfactory
Marge Schott Lake Dam

Clermont County

1402000HighSatisfactory
Margaret Creek Structure No. 6

Athens County

421967HighPoor
Margaret Creek Structure No. 4

Athens County

341971HighFair
Margaret Creek Structure No. 2

Athens County

601970HighFair
Margaret Creek Structure No. 1

Athens County

321972HighSatisfactory
Marathon Brine Pond Dam

Stark County

232008HighSatisfactory
Luburgh Lake Dam

Guernsey County

511963HighSatisfactory
Loyal Oak Lake Dam

Summit County

311930HighSatisfactory
Lower Shaker Lake Dam

Cuyahoga County

171830HighPoor
Lower Jeffco Lake Dam

Ashtabula County

171963HighPoor
PreviousPage 7 of 16Next

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