Ohio Hispanic Asian alone Female or Women Population By County in 2019
Based on the US Census Vintage data estimates, in 2019, the Ohio Hispanic Asian alone female population was 2,300; and represented 0.04% of the total Ohio female population in 2019.
Franklin County had the highest number of Hispanic Asian alone female population (327), followed by Cuyahoga County (326), and Hamilton County (276).
On the other hand, Vinton County had the lowest Hispanic Asian alone female population (0), followed by Pickaway County (0), and Perry County (0).
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 female population. The data can also be filtered, sorted, and explored further in a table below.
| County | Female Population | % of County Female Population |
|---|---|---|
| Adams | 1 | 0.01 |
| Allen | 12 | 0.02 |
| Ashland | 3 | 0.01 |
| Ashtabula | 9 | 0.02 |
| Athens | 34 | 0.10 |
| Auglaize | 3 | 0.01 |
| Belmont | 4 | 0.01 |
| Brown | 6 | 0.03 |
| Butler | 104 | 0.05 |
| Carroll | 3 | 0.02 |
| Champaign | 1 | 0.01 |
| Clark | 23 | 0.03 |
| Clermont | 33 | 0.03 |
| Clinton | 0 | 0.00 |
| Columbiana | 9 | 0.02 |
| Coshocton | 13 | 0.07 |
| Crawford | 1 | 0.01 |
| Cuyahoga | 326 | 0.05 |
| Darke | 9 | 0.04 |
| Defiance | 5 | 0.03 |
| Delaware | 45 | 0.04 |
| Erie | 17 | 0.05 |
| Fairfield | 17 | 0.02 |
| Fayette | 11 | 0.08 |
| Franklin | 327 | 0.05 |
| Fulton | 10 | 0.05 |
| Gallia | 2 | 0.01 |
| Geauga | 6 | 0.01 |
| Greene | 61 | 0.07 |
| Guernsey | 3 | 0.02 |
| Hamilton | 276 | 0.07 |
| Hancock | 12 | 0.03 |
| Hardin | 4 | 0.03 |
| Harrison | 0 | 0.00 |
| Henry | 10 | 0.07 |
| Highland | 4 | 0.02 |
| Hocking | 0 | 0.00 |
| Holmes | 3 | 0.01 |
| Huron | 15 | 0.05 |
| Jackson | 3 | 0.02 |
| Jefferson | 7 | 0.02 |
| Knox | 8 | 0.03 |
| Lake | 34 | 0.03 |
| Lawrence | 4 | 0.01 |
| Licking | 26 | 0.03 |
| Logan | 9 | 0.04 |
| Lorain | 122 | 0.08 |
| Lucas | 129 | 0.06 |
| Madison | 2 | 0.01 |
| Mahoning | 62 | 0.05 |
| Marion | 11 | 0.04 |
| Medina | 28 | 0.03 |
| Meigs | 0 | 0.00 |
| Mercer | 2 | 0.01 |
| Miami | 15 | 0.03 |
| Monroe | 3 | 0.04 |
| Montgomery | 109 | 0.04 |
| Morgan | 0 | 0.00 |
| Morrow | 7 | 0.04 |
| Muskingum | 8 | 0.02 |
| Noble | 1 | 0.02 |
| Ottawa | 6 | 0.03 |
| Paulding | 2 | 0.02 |
| Perry | 0 | 0.00 |
| Pickaway | 0 | 0.00 |
| Pike | 1 | 0.01 |
| Portage | 25 | 0.03 |
| Preble | 1 | 0.01 |
| Putnam | 7 | 0.04 |
| Richland | 5 | 0.01 |
| Ross | 4 | 0.01 |
| Sandusky | 10 | 0.03 |
| Scioto | 1 | 0.00 |
| Seneca | 6 | 0.02 |
| Shelby | 3 | 0.01 |
| Stark | 26 | 0.01 |
| Summit | 76 | 0.03 |
| Trumbull | 16 | 0.02 |
| Tuscarawas | 1 | 0.00 |
| Union | 8 | 0.03 |
| Van Wert | 1 | 0.01 |
| Vinton | 0 | 0.00 |
| Warren | 44 | 0.04 |
| Washington | 5 | 0.02 |
| Wayne | 13 | 0.02 |
| Williams | 2 | 0.01 |
| Wood | 20 | 0.03 |
| Wyandot | 5 | 0.05 |
