USA.com / Ohio / Jefferson County / Toronto, OH / Population and Races / Historical Marital Status Data
Toronto, OH Historical Marital Status Data
ACS 2010-2014 data
Total population: 4,961
| Toronto, OH | % | Ohio | U.S. | |
| 15 Years and Over Total | 4,283 | see rank | 9,357,659 | 252,974,135 |
| Males, 15 Years and Over | 2,084 | 100%, see rank | 4,524,956 | 123,281,364 |
| Never Married | 780 | 37.43%, see rank | 34.15% | 35.77% |
| Married | 1,007 | 48.32%, see rank | 52.00% | 52.04% |
| Widowed | 52 | 2.50%, see rank | 2.92% | 2.57% |
| Divorced | 245 | 11.76%, see rank | 10.93% | 9.62% |
| Females, 15 Years and Over | 2,199 | 100%, see rank | 4,832,703 | 129,692,771 |
| Never Married | 448 | 20.37%, see rank | 28.33% | 29.48% |
| Married | 1,048 | 47.66%, see rank | 48.65% | 49.19% |
| Widowed | 307 | 13.96%, see rank | 9.91% | 9.16% |
| Divorced | 396 | 18.01%, see rank | 13.11% | 12.16% |
ACS 2008-2012 data
Total population: 4,907
| Toronto, OH | % | Ohio | U.S. | |
| 15 Years and Over Total | 4,153 | see rank | 9,300,113 | 248,042,237 |
| Males, 15 Years and Over | 1,945 | 100%, see rank | 4,489,731 | 120,789,875 |
| Never Married | 594 | 30.54%, see rank | 33.33% | 35.08% |
| Married | 1,040 | 53.47%, see rank | 53.10% | 52.93% |
| Widowed | 100 | 5.14%, see rank | 2.85% | 2.53% |
| Divorced | 211 | 10.85%, see rank | 10.72% | 9.46% |
| Females, 15 Years and Over | 2,208 | 100%, see rank | 4,810,382 | 127,252,362 |
| Never Married | 585 | 26.49%, see rank | 27.56% | 28.74% |
| Married | 1,029 | 46.60%, see rank | 49.38% | 49.95% |
| Widowed | 239 | 10.82%, see rank | 10.13% | 9.34% |
| Divorced | 355 | 16.08%, see rank | 12.93% | 11.97% |
ACS 2006-2010 data
Total population: 5,015
| Toronto, OH | % | Ohio | U.S. | |
| 15 Years and Over Total | 4,208 | see rank | 9,247,083 | 243,073,468 |
| Males, 15 Years and Over | 1,996 | 100%, see rank | 4,459,177 | 118,264,295 |
| Never Married | 525 | 26.30%, see rank | 32.54% | 34.21% |
| Married | 1,096 | 54.91%, see rank | 54.15% | 54.02% |
| Widowed | 128 | 6.41%, see rank | 2.83% | 2.52% |
| Divorced | 247 | 12.37%, see rank | 10.48% | 9.25% |
| Females, 15 Years and Over | 2,212 | 100%, see rank | 4,787,906 | 124,809,173 |
| Never Married | 588 | 26.58%, see rank | 26.91% | 27.93% |
| Married | 1,084 | 49.01%, see rank | 50.14% | 50.85% |
| Widowed | 206 | 9.31%, see rank | 10.37% | 9.55% |
| Divorced | 334 | 15.10%, see rank | 12.57% | 11.66% |
ACS 2005-2009 data
Total population: 4,946
| Toronto, OH | % | Ohio | U.S. | |
| 15 Years and Over Total | 4,117 | see rank | 9,245,963 | 240,146,935 |
| Males, 15 Years and Over | 1,867 | 100%, see rank | 4,454,944 | 117,166,601 |
| Never Married | 458 | 24.53%, see rank | 32.61% | 34.13% |
| Married | 1,036 | 55.49%, see rank | 54.09% | 54.15% |
| Widowed | 126 | 6.75%, see rank | 2.79% | 2.53% |
| Divorced | 247 | 13.23%, see rank | 10.50% | 9.19% |
| Females, 15 Years and Over | 2,250 | 100%, see rank | 4,791,019 | 122,980,334 |
| Never Married | 616 | 27.38%, see rank | 26.63% | 27.67% |
| Married | 1,057 | 46.98%, see rank | 50.23% | 50.88% |
| Widowed | 221 | 9.82%, see rank | 10.58% | 9.85% |
| Divorced | 356 | 15.82%, see rank | 12.57% | 11.60% |
US Census 2000 data
Total population: 5,676
| Toronto, OH | % | Ohio | U.S. | |
| 15 Years and Over Total | 4,743 | see rank | 8,952,721 | 221,148,671 |
| Males, 15 Years and Over | 2,094 | 100%, see rank | 4,281,736 | 107,027,405 |
| Never Married | 471 | 22.49%, see rank | 29.19% | 30.26% |
| Married | 1,303 | 62.23%, see rank | 58.39% | 58.58% |
| Widowed | 72 | 3.44%, see rank | 2.73% | 2.52% |
| Divorced | 248 | 11.84%, see rank | 9.70% | 8.65% |
| Females, 15 Years and Over | 2,649 | 100%, see rank | 4,670,985 | 114,121,266 |
| Never Married | 525 | 19.82%, see rank | 23.53% | 24.13% |
| Married | 1,413 | 53.34%, see rank | 53.84% | 54.60% |
| Widowed | 433 | 16.35%, see rank | 11.14% | 10.49% |
| Divorced | 278 | 10.49%, see rank | 11.48% | 10.78% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.