Counties in Ohio by GDP (US dollars)
Cuyahoga County had the highest GDP (US dollars) of 88 counties in 2015, at $89.23 billion. Vinton County had the lowest, at $231.16 million. The median was $2.18 billion and the figure for Ohio was $615.28 billion. Source: the U.S. Bureau of Economic Analysis.
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Cuyahoga County | 89,227.1 | +3.4% |
| 2 | Franklin County | 89,112.9 | +4.6% |
| 3 | Hamilton County | 70,290.9 | +3.1% |
| 4 | Summit County | 28,758.3 | +3.1% |
| 5 | Montgomery County | 26,452.5 | +3.2% |
| 6 | Lucas County | 23,656.7 | -5.5% |
| 7 | Butler County | 19,087.9 | +8.6% |
| 8 | Stark County | 16,516.3 | +1.1% |
| 9 | Lake County | 10,973.3 | +2.1% |
| 10 | Delaware County | 10,360.4 | +3.9% |
| 11 | Lorain County | 10,314.6 | +3.2% |
| 12 | Warren County | 9,925.8 | +6% |
| 13 | Mahoning County | 9,008.3 | +1.3% |
| 14 | Greene County | 8,808.4 | +5.9% |
| 15 | Clermont County | 8,289.9 | +12.3% |
| 16 | Allen County | 7,480.6 | -1.1% |
| 17 | Trumbull County | 7,225.6 | -0.5% |
| 18 | Medina County | 6,857.9 | -2.2% |
| 19 | Wood County | 6,586.3 | +2.5% |
| 20 | Hancock County | 6,064.4 | +16.5% |
| 21 | Portage County | 5,917.2 | +3.9% |
| 22 | Licking County | 5,777.4 | +6.2% |
| 23 | Wayne County | 5,685.9 | +2.2% |
| 24 | Erie County | 4,871.7 | -10.1% |
| 25 | Clark County | 4,531.6 | +3.9% |
| 26 | Richland County | 4,461.5 | +0.7% |
| 27 | Jefferson County | 4,411.5 | +1.9% |
| 28 | Geauga County | 4,268.5 | +6.6% |
| 29 | Fairfield County | 4,051.4 | +2.2% |
| 30 | Miami County | 4,041.4 | +2.5% |
| 31 | Tuscarawas County | 3,706.3 | +4.4% |
| 32 | Union County | 3,687.2 | +6.3% |
| 33 | Washington County | 3,650.1 | +6.2% |
| 34 | Muskingum County | 3,548.9 | +0.8% |
| 35 | Shelby County | 3,085.7 | +1.3% |
| 36 | Scioto County | 3,084.2 | -18.6% |
| 37 | Columbiana County | 3,025.3 | +0.1% |
| 38 | Belmont County | 2,998.3 | +4.3% |
| 39 | Sandusky County | 2,972.9 | +9.7% |
| 40 | Ashtabula County | 2,925.4 | +0.2% |
| 41 | Marion County | 2,718.8 | +6.4% |
| 42 | Ross County | 2,693.8 | +4.5% |
| 43 | Mercer County | 2,485.8 | +12.8% |
| 44 | Gallia County | 2,183.3 | -2.4% |
| 45 | Holmes County | 2,181.7 | +8% |
| 46 | Huron County | 2,154.2 | -0% |
| 47 | Auglaize County | 2,148.9 | +1% |
| 48 | Fayette County | 2,144.4 | +22.3% |
| 49 | Knox County | 2,087.3 | +0.3% |
| 50 | Athens County | 2,033 | +7.1% |
| 51 | Ottawa County | 2,024.9 | +9.8% |
| 52 | Darke County | 1,998.8 | -0.4% |
| 53 | Fulton County | 1,989.3 | +8.1% |
| 54 | Clinton County | 1,986.1 | +9.8% |
| 55 | Logan County | 1,900.6 | -5.8% |
| 56 | Guernsey County | 1,843 | +12.5% |
| 57 | Seneca County | 1,807.3 | +8.3% |
| 58 | Lawrence County | 1,800 | +12.5% |
| 59 | Madison County | 1,714.3 | +3.5% |
| 60 | Williams County | 1,675.6 | +4.4% |
| 61 | Defiance County | 1,669.7 | -0.9% |
| 62 | Ashland County | 1,661.7 | +1.6% |
| 63 | Pickaway County | 1,627.5 | +8.8% |
| 64 | Coshocton County | 1,605.7 | -5.8% |
| 65 | Adams County | 1,543.8 | +5.2% |
| 66 | Henry County | 1,405.9 | +2.1% |
| 67 | Crawford County | 1,319.1 | +3.2% |
| 68 | Carroll County | 1,260.2 | -23.4% |
| 69 | Van Wert County | 1,247.2 | +8.1% |
| 70 | Putnam County | 1,238.2 | -0.9% |
| 71 | Preble County | 1,108 | +8.8% |
| 72 | Highland County | 1,090.6 | +3.8% |
| 73 | Champaign County | 1,086 | -0.6% |
| 74 | Jackson County | 1,021.4 | +3% |
| 75 | Pike County | 962.2 | +2.4% |
| 76 | Harrison County | 938.3 | +4.1% |
| 77 | Wyandot County | 903.7 | -2.6% |
| 78 | Brown County | 859.7 | +1.3% |
| 79 | Hardin County | 832.7 | -10.8% |
| 80 | Monroe County | 687.8 | -5.9% |
| 81 | Morrow County | 664.2 | +9.8% |
| 82 | Perry County | 660.7 | -1.1% |
| 83 | Hocking County | 607.4 | +1.6% |
| 84 | Noble County | 582.5 | -7.9% |
| 85 | Paulding County | 491.9 | -11.5% |
| 86 | Meigs County | 404.4 | +6.6% |
| 87 | Morgan County | 292.3 | +4.9% |
| 88 | Vinton County | 231.2 | +0.4% |
Other periods
About this ranking
GDP at current prices, millions of US dollars. United States: Bureau of Economic Analysis GDP by state (the national figure is the total of the same table) and GDP by county. Other countries and the World: World Bank, converted from national currency at official annual average exchange rates.
US dollars, for the United States, its states and counties, and for every country and the World from the World Bank. For Spain and the EU in euros use gdp. Exchange rate swings move dollar values even when output does not.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.
How to cite
U.S. Bureau of Economic Analysis. CAGDP1: county GDP summary, current-dollar GDP (published in thousands of dollars, shown in millions). https://apps.bea.gov/regional/zip/CAGDP1.zip. Retrieved 2026-10-08.
Use this data in your AI agent
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Rank Counties in Ohio by GDP (US dollars) using official data, and cite the source.
rank_places {"indicator":"gdp_usd","level":"province","within":"Ohio","limit":10}
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Questions
Which county has the highest GDP (US dollars)?
Cuyahoga County, with $89.23 billion in 2015, according to the U.S. Bureau of Economic Analysis.
Which county has the lowest GDP (US dollars)?
Vinton County, with $231.16 million in 2015.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: U.S. Bureau of Economic Analysis, CAGDP1: county GDP summary, current-dollar GDP (published in thousands of dollars, shown in millions). Retrieved 2026-10-08.
Gross domestic product (GDP), US dollars: other rankings
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Counties in Ohio: more rankings
- Asian population share
- Bachelor's degree or higher, population 25 and over
- Live births, July to June
- Black or African American population share
- Crude birth rate, July to June
- Crude death rate, July to June
- Deaths, July to June
- Foreign-born population share
- Real GDP growth
- GDP per capita, US dollars
- Hispanic or Latino population share
- Homeownership rate (US, housing units)
- Median age
- Median gross rent (monthly)
- Median home value
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