USA.com / New Jersey / Middlesex County / Dayton, NJ / Population and Races / Historical Marital Status Data
Dayton, NJ Historical Marital Status Data
ACS 2010-2014 data
Total population: 7,690
| Dayton, NJ | % | New Jersey | U.S. | |
| 15 Years and Over Total | 5,832 | see rank | 7,199,958 | 252,974,135 |
| Males, 15 Years and Over | 2,566 | 100%, see rank | 3,471,402 | 123,281,364 |
| Never Married | 711 | 27.71%, see rank | 36.97% | 35.77% |
| Married | 1,810 | 70.54%, see rank | 53.52% | 52.04% |
| Widowed | 9 | 0.35%, see rank | 2.60% | 2.57% |
| Divorced | 36 | 1.40%, see rank | 6.91% | 9.62% |
| Females, 15 Years and Over | 3,266 | 100%, see rank | 3,728,556 | 129,692,771 |
| Never Married | 927 | 28.38%, see rank | 30.96% | 29.48% |
| Married | 1,884 | 57.69%, see rank | 49.25% | 49.19% |
| Widowed | 230 | 7.04%, see rank | 9.77% | 9.16% |
| Divorced | 225 | 6.89%, see rank | 10.01% | 12.16% |
ACS 2008-2012 data
Total population: 7,940
| Dayton, NJ | % | New Jersey | U.S. | |
| 15 Years and Over Total | 5,901 | see rank | 7,107,327 | 248,042,237 |
| Males, 15 Years and Over | 2,684 | 100%, see rank | 3,421,155 | 120,789,875 |
| Never Married | 812 | 30.25%, see rank | 36.42% | 35.08% |
| Married | 1,825 | 68.00%, see rank | 54.15% | 52.93% |
| Widowed | 12 | 0.45%, see rank | 2.64% | 2.53% |
| Divorced | 35 | 1.30%, see rank | 6.79% | 9.46% |
| Females, 15 Years and Over | 3,217 | 100%, see rank | 3,686,172 | 127,252,362 |
| Never Married | 918 | 28.54%, see rank | 30.21% | 28.74% |
| Married | 1,863 | 57.91%, see rank | 49.94% | 49.95% |
| Widowed | 306 | 9.51%, see rank | 10.01% | 9.34% |
| Divorced | 130 | 4.04%, see rank | 9.84% | 11.97% |
ACS 2006-2010 data
Total population: 7,449
| Dayton, NJ | % | New Jersey | U.S. | |
| 15 Years and Over Total | 5,384 | see rank | 7,017,217 | 243,073,468 |
| Males, 15 Years and Over | 2,470 | 100%, see rank | 3,373,210 | 118,264,295 |
| Never Married | 647 | 26.19%, see rank | 35.55% | 34.21% |
| Married | 1,671 | 67.65%, see rank | 55.11% | 54.02% |
| Widowed | 31 | 1.26%, see rank | 2.69% | 2.52% |
| Divorced | 121 | 4.90%, see rank | 6.64% | 9.25% |
| Females, 15 Years and Over | 2,914 | 100%, see rank | 3,644,007 | 124,809,173 |
| Never Married | 814 | 27.93%, see rank | 29.20% | 27.93% |
| Married | 1,751 | 60.09%, see rank | 50.83% | 50.85% |
| Widowed | 168 | 5.77%, see rank | 10.34% | 9.55% |
| Divorced | 181 | 6.21%, see rank | 9.63% | 11.66% |
ACS 2005-2009 data
Total population: 7,097
| Dayton, NJ | % | New Jersey | U.S. | |
| 15 Years and Over Total | 5,237 | see rank | 6,942,279 | 240,146,935 |
| Males, 15 Years and Over | 2,484 | 100%, see rank | 3,357,498 | 117,166,601 |
| Never Married | 649 | 26.13%, see rank | 35.10% | 34.13% |
| Married | 1,646 | 66.26%, see rank | 55.61% | 54.15% |
| Widowed | 38 | 1.53%, see rank | 2.71% | 2.53% |
| Divorced | 151 | 6.08%, see rank | 6.59% | 9.19% |
| Females, 15 Years and Over | 2,753 | 100%, see rank | 3,584,781 | 122,980,334 |
| Never Married | 724 | 26.30%, see rank | 28.89% | 27.67% |
| Married | 1,691 | 61.42%, see rank | 51.03% | 50.88% |
| Widowed | 168 | 6.10%, see rank | 10.53% | 9.85% |
| Divorced | 170 | 6.18%, see rank | 9.54% | 11.60% |
US Census 2000 data
Total population: 6,235
| Dayton, NJ | % | New Jersey | U.S. | |
| 15 Years and Over Total | 4,502 | see rank | 6,655,333 | 221,148,671 |
| Males, 15 Years and Over | 2,048 | 100%, see rank | 3,176,413 | 107,027,405 |
| Never Married | 351 | 17.14%, see rank | 31.15% | 30.26% |
| Married | 1,537 | 75.05%, see rank | 59.76% | 58.58% |
| Widowed | 61 | 2.98%, see rank | 2.85% | 2.52% |
| Divorced | 99 | 4.83%, see rank | 6.24% | 8.65% |
| Females, 15 Years and Over | 2,454 | 100%, see rank | 3,478,920 | 114,121,266 |
| Never Married | 496 | 20.21%, see rank | 25.27% | 24.13% |
| Married | 1,643 | 66.95%, see rank | 54.54% | 54.60% |
| Widowed | 100 | 4.07%, see rank | 11.50% | 10.49% |
| Divorced | 215 | 8.76%, see rank | 8.70% | 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.