Ohio Hispanic Asian alone Population By County in 2016
Based on the US Census Vintage data estimates, in 2016, there were 3,886 people that identified as Hispanic Asian alone in Ohio and they represented 0.03% of the total population of Ohio in 2016. Franklin County had the highest number of Hispanic Asian alone population (603), followed by Cuyahoga County (582), and Hamilton County (364). On the other hand, Vinton County had the lowest number of Hispanic Asian alone (0), followed by Hocking County (0), and Preble County (1).
When it comes to the percentage of each county's population that identified as Hispanic Asian alone, Wyandot County had the highest percentage (0.07%), followed by Athens County (0.06%), and Greene County (0.06%).
You can see similar information for other ethnicity and racial groups in Ohio.
You can also see similar information for other states and also by state for the United States.
Hover over or click on the counties to see the number and percentage of each county's Hispanic Asian alone population. The data can also be filtered, sorted, and explored further in a table below.
County | Hispanic Asian alone Population | % of County Population |
---|---|---|
Adams | 2 | 0.01 |
Allen | 33 | 0.03 |
Ashland | 1 | 0 |
Ashtabula | 13 | 0.01 |
Athens | 38 | 0.06 |
Auglaize | 7 | 0.02 |
Belmont | 5 | 0.01 |
Brown | 8 | 0.02 |
Butler | 193 | 0.05 |
Carroll | 6 | 0.02 |
Champaign | 10 | 0.03 |
Clark | 41 | 0.03 |
Clermont | 42 | 0.02 |
Clinton | 3 | 0.01 |
Columbiana | 12 | 0.01 |
Coshocton | 5 | 0.01 |
Crawford | 1 | 0 |
Cuyahoga | 582 | 0.05 |
Darke | 4 | 0.01 |
Defiance | 8 | 0.02 |
Delaware | 91 | 0.05 |
Erie | 17 | 0.02 |
Fairfield | 31 | 0.02 |
Fayette | 11 | 0.04 |
Franklin | 603 | 0.05 |
Fulton | 22 | 0.05 |
Gallia | 12 | 0.04 |
Geauga | 14 | 0.02 |
Greene | 100 | 0.06 |
Guernsey | 3 | 0.01 |
Hamilton | 364 | 0.05 |
Hancock | 18 | 0.02 |
Hardin | 10 | 0.03 |
Harrison | 2 | 0.01 |
Henry | 14 | 0.05 |
Highland | 4 | 0.01 |
Hocking | 0 | 0 |
Holmes | 2 | 0.01 |
Huron | 24 | 0.04 |
Jackson | 6 | 0.02 |
Jefferson | 7 | 0.01 |
Knox | 13 | 0.02 |
Lake | 66 | 0.03 |
Lawrence | 2 | 0 |
Licking | 45 | 0.03 |
Logan | 6 | 0.01 |
Lorain | 190 | 0.06 |
Lucas | 225 | 0.05 |
Madison | 9 | 0.02 |
Mahoning | 86 | 0.04 |
Marion | 32 | 0.05 |
Medina | 46 | 0.03 |
Meigs | 1 | 0 |
Mercer | 4 | 0.01 |
Miami | 19 | 0.02 |
Monroe | 3 | 0.02 |
Montgomery | 194 | 0.04 |
Morgan | 6 | 0.04 |
Morrow | 7 | 0.02 |
Muskingum | 10 | 0.01 |
Noble | 5 | 0.04 |
Ottawa | 10 | 0.03 |
Paulding | 6 | 0.03 |
Perry | 5 | 0.01 |
Pickaway | 11 | 0.02 |
Pike | 1 | 0 |
Portage | 42 | 0.03 |
Preble | 1 | 0 |
Putnam | 9 | 0.03 |
Richland | 15 | 0.01 |
Ross | 7 | 0.01 |
Sandusky | 14 | 0.02 |
Scioto | 5 | 0.01 |
Seneca | 11 | 0.02 |
Shelby | 7 | 0.01 |
Stark | 52 | 0.01 |
Summit | 134 | 0.03 |
Trumbull | 28 | 0.01 |
Tuscarawas | 10 | 0.01 |
Union | 12 | 0.02 |
Van Wert | 2 | 0.01 |
Vinton | 0 | 0 |
Warren | 63 | 0.03 |
Washington | 5 | 0.01 |
Wayne | 20 | 0.02 |
Williams | 6 | 0.02 |
Wood | 57 | 0.04 |
Wyandot | 15 | 0.07 |