Ohio Land area in square miles, 2010 by City

Ohio Land area in square miles, 2010 by City

Data Item State
Land area in square miles, 2010 - (Square Miles)
City Value
Ada 2.08
Akron 62.03
Alliance 8.92
Amherst 7.06
Apple Valley 6.01
Ashland 11.17
Ashtabula 7.74
Athens 9.83
Aurora 22.92
Austintown 11.63
Avon 20.81
Avon Lake 11.13
Barberton 9.04
Bay Village 4.57
Beachwood 5.33
Beavercreek 26.40
Beckett Ridge 4.80
Bedford 5.35
Bedford Heights 4.54
Bellbrook 3.13
Bellefontaine 10.04
Bellevue 6.14
Belpre 3.49
Berea 5.72
Bexley 2.43
Blacklick Estates 1.89
Blue Ash 7.58
Boardman 15.12
Bowling Green 12.56
Brecksville 19.57
Bridgetown 4.32
Broadview Heights 13.05
Brook Park 7.53
Brooklyn 4.25
Brookville 3.82
Brunswick 12.92
Bryan 5.53
Bucyrus 7.42
Cambridge 6.35
Campbell 3.71
Canal Fulton 3.26
Canfield 4.58
Canton 25.46
Celina 4.98
Centerville 10.78
Champion Heights 8.37
Chardon 4.58
Cheviot 1.17
Chillicothe 10.43
Cincinnati 77.94
Circleville 6.64
Clayton 18.51
Cleveland 77.70
Cleveland Heights 8.11
Clyde 5.04
Columbiana 6.00
Columbus 217.17
Conneaut 26.36
Cortland 4.25
Coshocton 8.08
Covedale 2.80
Cuyahoga Falls 25.65
Dayton 55.65
Deer Park 0.87
Defiance 11.62
Delaware 18.95
Delhi Hills 1.49
Delphos 3.44
Dent 5.93
Dover 5.69
Dry Run 4.67
Dublin 24.44
East Cleveland 3.09
East Liverpool 4.56
Eastlake 6.40
Eaton 6.19
Elyria 20.57
Englewood 6.55
Euclid 10.63
Fairborn 13.16
Fairfield 20.94
Fairlawn 4.48
Fairview Park 4.68
Findlay 19.13
Finneytown 4.06
Forest Park 6.48
Forestville 3.72
Fostoria 7.55
Franklin 9.17
Fremont 8.35
Gahanna 12.43
Galion 7.61
Garfield Heights 7.23
Geneva 4.14
Girard 5.88
Grafton 4.71
Grandview Heights 1.33
Granville 4.68
Green 32.06
Greenville 6.60
Groesbeck 2.95
Grove City 16.20
Hamilton 21.60
Harrison 4.92
Heath 10.92
Highland Heights 5.15
Hilliard 13.17
Hillsboro 5.43
Howland Center 4.04
Hubbard 3.90
Huber Heights 22.27
Hudson 25.60
Huron 4.84
Independence 9.54
Ironton 4.16
Jackson 8.23
Kent 9.17
Kenton 5.04
Kenwood 2.30
Kettering 18.68
Kirtland 16.67
Lakewood 5.53
Lancaster 18.84
Landen 2.03
Lebanon 12.96
Lima 13.57
Lincoln Village 1.84
Logan 4.79
London 8.45
Lorain 23.67
Louisville 5.49
Loveland 4.93
Lyndhurst 4.43
Macedonia 9.71
Mack 9.27
Madeira 3.38
Mansfield 30.87
Maple Heights 5.17
Marietta 8.43
Marion 11.74
Martins Ferry 2.33
Marysville 16.27
Mason 18.63
Massillon 18.58
Maumee 9.89
Mayfield Heights 4.17
Medina 11.57
Mentor 26.65
Miamisburg 12.18
Middleburg Heights 8.07
Middletown 26.19
Milford 3.73
Monfort Heights 5.91
Monroe 15.87
Montgomery 5.29
Moraine 9.25
Mount Healthy 1.41
Mount Vernon 9.41
Munroe Falls 2.71
Napoleon 6.19
Nelsonville 4.89
New Burlington 3.07
New Carlisle 2.74
New Franklin 25.04
New Philadelphia 8.22
Newark 20.88
Niles 8.61
North Canton 6.40
North College Hill 1.83
North Madison 3.91
North Olmsted 11.67
North Ridgeville 23.44
North Royalton 21.31
Northbrook 1.95
Northgate 2.53
Northridge 3.05
Northwood 8.52
Norton 20.16
Norwalk 8.87
Norwood 3.15
Oakwood 2.20
Oberlin 4.92
Olmsted Falls 4.12
Ontario 11.08
Oregon 29.98
Orrville 5.74
Oxford 6.68
Painesville 6.29
Parma 20.02
Parma Heights 4.19
Pataskala 28.62
Pepper Pike 7.06
Perry Heights 2.86
Perrysburg 11.51
Pickerington 9.75
Piqua 11.62
Port Clinton 2.08
Portage Lakes 3.95
Portsmouth 10.73
Powell 4.93
Ravenna 5.63
Reading 2.89
Reynoldsburg 11.16
Richmond Heights 4.44
Rittman 6.43
Riverside 9.72
Rocky River 4.74
Rossford 5.02
Salem 6.43
Sandusky 9.73
Seven Hills 4.91
Shaker Heights 6.28
Sharonville 9.83
Sheffield Lake 2.48
Shelby 6.35
Sidney 12.02
Solon 20.36
South Euclid 4.65
Springboro 9.36
Springdale 4.96
Springfield 25.29
St. Clairsville 2.42
St. Marys 4.59
Steubenville 10.55
Stow 17.09
Streetsboro 23.46
Strongsville 24.63
Struthers 3.64
Summerside 2.09
Sylvania 6.48
Tallmadge 14.00
The Village of Indian Hill 18.55
Tiffin 6.76
Tipp City 7.53
Toledo 80.69
Trenton 4.56
Trotwood 30.49
Troy 11.72
Turpin Hills 2.98
Twinsburg 13.77
Uhrichsville 2.81
Union 7.05
University Heights 1.82
Upper Arlington 9.84
Upper Sandusky 7.01
Urbana 7.75
Van Wert 7.33
Vandalia 12.34
Vermilion 10.65
Wadsworth 10.62
Wapakoneta 6.21
Warren 16.13
Warrensville Heights 4.13
Washington Court House 8.74
Wauseon 5.17
Wellston 6.97
West Carrollton 6.44
Westerville 12.47
Westlake 15.93
Wheelersburg 5.80
White Oak 6.17
Whitehall 5.26
Wickliffe 4.64
Willard 3.55
Willoughby 10.25
Willoughby Hills 10.73
Willowick 2.54
Wilmington 10.89
Withamsville 3.12
Wooster 16.31
Worthington 5.55
Wyoming 2.87
Xenia 13.28
Youngstown 33.95
Zanesville 11.77

Source: U.S. Census Bureau, data file from Geography Division based on the TIGER/Geographic Identification Code Scheme (TIGER/GICS) computer file. Land area updated every 10 years. Geography/TIGER or American FactFinder.

Source: U.S. Census Bureau, Census of Population and Housing. Land area is based on current information in the TIGER� data base, calculated for use with Census 2010.

Definitions:

Land area - an area measurement providing the size, in square meters, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data.

Area is calculated from the specific boundary recorded for each entity in the Census Bureau�s geographic database (see "MAF/TIGER Database"). The Census Bureau provides area measurement data for both land area and water area. The water area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau�s geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two-dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

Land area measurements are originally recorded as whole square meters (to convert square meters to square kilometers, divide by 1,000,000; to convert square kilometers to square miles, divide by 2.58999; to convert square meters to square miles, divide by 2,589,988).

Persons per square mile - population and housing unit density are computed by dividing the total population or number of housing units within a geographic entity by the land area of that entity measured in square miles or in square kilometers. Density is expressed as "population per square mile (kilometer)" or "housing units per square mile (kilometer)." To determine population per square kilometer, multiply the population per square mile by .3861.

Scope and Methodology:

TIGER is an acronym for the digital (computer-readable) geographic database that automates the mapping and related geographic activities required to support the Census Bureau's census and survey programs. The Census Bureau developed the Topologically Integrated Geographic Encoding and Referencing (TIGER) System to automate the geographic support processes needed to meet the major geographic needs of the 1990 census. Land area was calculated from the specific set of boundaries recorded for the entity (in this case, counties, which were then aggregated to metropolitan totals) in the Census Bureau's geographic database.

Land and water area measurements may disagree with the information displayed on Census Bureau maps and in the MAF/TIGER database because, for area measurement purposes, hydrologic features identified as intermittent water, glacier, or swamp are reported as land area. The water area measurement reported for some geographic entities includes water that is not included in any lower-level geographic entity. Therefore, because water is contained only in a higher-level geographic entity, summing the water measurements for all the component lower-level geographic entities will not yield the water area of that higher-level entity. This occurs, for example, where water is associated with a state but is not within the assigned area of any congressional district.

The accuracy of any area measurement data is limited by the accuracy inherent in 1) the location and shape of the various boundary information in the MAF/TIGER database, 2) the identification, and classification of water bodies coupled with the location and shapes of the shorelines of water bodies in that database, and 3) rounding affecting the last digit in all operations that compute and/or sum the area measurements.

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