Ohio Hispanic Asian alone Male or Men Population By County in 2022
Based on the US Census Vintage data estimates, in 2022, the Ohio Hispanic Asian alone male population was 2,640; and represented 0.05% of the total Ohio male population in 2022.
Cuyahoga County had the highest number of Hispanic Asian alone male population (370), followed by Franklin County (365), and Hamilton County (236).
On the other hand, Monroe County had the lowest Hispanic Asian alone male population (0), followed by Washington County (1), and Vinton County (1).
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 male population. The data can also be filtered, sorted, and explored further in a table below.
| County | Male Population | % of County Male Population |
|---|---|---|
| Adams | 2 | 0.02 |
| Allen | 25 | 0.05 |
| Ashland | 2 | 0.01 |
| Ashtabula | 16 | 0.03 |
| Athens | 9 | 0.03 |
| Auglaize | 5 | 0.02 |
| Belmont | 1 | 0.00 |
| Brown | 6 | 0.03 |
| Butler | 199 | 0.10 |
| Carroll | 3 | 0.02 |
| Champaign | 4 | 0.02 |
| Clark | 21 | 0.03 |
| Clermont | 42 | 0.04 |
| Clinton | 5 | 0.02 |
| Columbiana | 5 | 0.01 |
| Coshocton | 1 | 0.01 |
| Crawford | 2 | 0.01 |
| Cuyahoga | 370 | 0.06 |
| Darke | 2 | 0.01 |
| Defiance | 9 | 0.05 |
| Delaware | 77 | 0.07 |
| Erie | 15 | 0.04 |
| Fairfield | 26 | 0.03 |
| Fayette | 6 | 0.04 |
| Franklin | 365 | 0.06 |
| Fulton | 9 | 0.04 |
| Gallia | 6 | 0.04 |
| Geauga | 12 | 0.03 |
| Greene | 53 | 0.06 |
| Guernsey | 6 | 0.03 |
| Hamilton | 236 | 0.06 |
| Hancock | 17 | 0.05 |
| Hardin | 6 | 0.04 |
| Harrison | 1 | 0.01 |
| Henry | 11 | 0.08 |
| Highland | 7 | 0.03 |
| Hocking | 1 | 0.01 |
| Holmes | 2 | 0.01 |
| Huron | 18 | 0.06 |
| Jackson | 3 | 0.02 |
| Jefferson | 4 | 0.01 |
| Knox | 9 | 0.03 |
| Lake | 42 | 0.04 |
| Lawrence | 4 | 0.01 |
| Licking | 33 | 0.04 |
| Logan | 6 | 0.03 |
| Lorain | 110 | 0.07 |
| Lucas | 135 | 0.07 |
| Madison | 5 | 0.02 |
| Mahoning | 57 | 0.05 |
| Marion | 18 | 0.05 |
| Medina | 41 | 0.05 |
| Meigs | 4 | 0.04 |
| Mercer | 3 | 0.01 |
| Miami | 14 | 0.03 |
| Monroe | 0 | 0.00 |
| Montgomery | 117 | 0.05 |
| Morgan | 8 | 0.12 |
| Morrow | 5 | 0.03 |
| Muskingum | 8 | 0.02 |
| Noble | 2 | 0.02 |
| Ottawa | 8 | 0.04 |
| Paulding | 6 | 0.06 |
| Perry | 4 | 0.02 |
| Pickaway | 10 | 0.03 |
| Pike | 3 | 0.02 |
| Portage | 26 | 0.03 |
| Preble | 2 | 0.01 |
| Putnam | 8 | 0.05 |
| Richland | 19 | 0.03 |
| Ross | 7 | 0.02 |
| Sandusky | 13 | 0.04 |
| Scioto | 3 | 0.01 |
| Seneca | 9 | 0.03 |
| Shelby | 3 | 0.01 |
| Stark | 52 | 0.03 |
| Summit | 85 | 0.03 |
| Trumbull | 21 | 0.02 |
| Tuscarawas | 21 | 0.05 |
| Union | 2 | 0.01 |
| Van Wert | 2 | 0.01 |
| Vinton | 1 | 0.02 |
| Warren | 41 | 0.03 |
| Washington | 1 | 0.00 |
| Wayne | 15 | 0.03 |
| Williams | 2 | 0.01 |
| Wood | 37 | 0.06 |
| Wyandot | 8 | 0.08 |
