USA.com / Washington / Columbia County / Dayton, WA / Population and Races / Historical Marital Status Data
Dayton, WA Historical Marital Status Data
ACS 2010-2014 data
Total population: 2,905
| Dayton, WA | % | Washington | U.S. | |
| 15 Years and Over Total | 2,378 | see rank | 5,576,837 | 252,974,135 |
| Males, 15 Years and Over | 1,156 | 100%, see rank | 2,766,340 | 123,281,364 |
| Never Married | 409 | 35.38%, see rank | 34.08% | 35.77% |
| Married | 562 | 48.62%, see rank | 53.24% | 52.04% |
| Widowed | 17 | 1.47%, see rank | 2.16% | 2.57% |
| Divorced | 168 | 14.53%, see rank | 10.52% | 9.62% |
| Females, 15 Years and Over | 1,222 | 100%, see rank | 2,810,497 | 129,692,771 |
| Never Married | 249 | 20.38%, see rank | 26.91% | 29.48% |
| Married | 585 | 47.87%, see rank | 51.78% | 49.19% |
| Widowed | 171 | 13.99%, see rank | 7.72% | 9.16% |
| Divorced | 217 | 17.76%, see rank | 13.59% | 12.16% |
ACS 2008-2012 data
Total population: 2,852
| Dayton, WA | % | Washington | U.S. | |
| 15 Years and Over Total | 2,352 | see rank | 5,434,934 | 248,042,237 |
| Males, 15 Years and Over | 1,159 | 100%, see rank | 2,692,317 | 120,789,875 |
| Never Married | 371 | 32.01%, see rank | 33.41% | 35.08% |
| Married | 646 | 55.74%, see rank | 53.84% | 52.93% |
| Widowed | 27 | 2.33%, see rank | 2.08% | 2.53% |
| Divorced | 115 | 9.92%, see rank | 10.68% | 9.46% |
| Females, 15 Years and Over | 1,193 | 100%, see rank | 2,742,617 | 127,252,362 |
| Never Married | 183 | 15.34%, see rank | 26.27% | 28.74% |
| Married | 662 | 55.49%, see rank | 52.52% | 49.95% |
| Widowed | 174 | 14.59%, see rank | 7.81% | 9.34% |
| Divorced | 174 | 14.59%, see rank | 13.40% | 11.97% |
ACS 2006-2010 data
Total population: 2,463
| Dayton, WA | % | Washington | U.S. | |
| 15 Years and Over Total | 2,057 | see rank | 5,278,422 | 243,073,468 |
| Males, 15 Years and Over | 1,005 | 100%, see rank | 2,610,578 | 118,264,295 |
| Never Married | 279 | 27.76%, see rank | 32.84% | 34.21% |
| Married | 550 | 54.73%, see rank | 54.56% | 54.02% |
| Widowed | 53 | 5.27%, see rank | 2.06% | 2.52% |
| Divorced | 123 | 12.24%, see rank | 10.54% | 9.25% |
| Females, 15 Years and Over | 1,052 | 100%, see rank | 2,667,844 | 124,809,173 |
| Never Married | 207 | 19.68%, see rank | 25.74% | 27.93% |
| Married | 558 | 53.04%, see rank | 53.09% | 50.85% |
| Widowed | 175 | 16.63%, see rank | 8.03% | 9.55% |
| Divorced | 112 | 10.65%, see rank | 13.14% | 11.66% |
ACS 2005-2009 data
Total population: 2,379
| Dayton, WA | % | Washington | U.S. | |
| 15 Years and Over Total | 1,971 | see rank | 5,190,328 | 240,146,935 |
| Males, 15 Years and Over | 913 | 100%, see rank | 2,571,864 | 117,166,601 |
| Never Married | 186 | 20.37%, see rank | 32.93% | 34.13% |
| Married | 567 | 62.10%, see rank | 54.28% | 54.15% |
| Widowed | 54 | 5.91%, see rank | 2.08% | 2.53% |
| Divorced | 106 | 11.61%, see rank | 10.70% | 9.19% |
| Females, 15 Years and Over | 1,058 | 100%, see rank | 2,618,464 | 122,980,334 |
| Never Married | 215 | 20.32%, see rank | 25.68% | 27.67% |
| Married | 578 | 54.63%, see rank | 52.76% | 50.88% |
| Widowed | 162 | 15.31%, see rank | 8.26% | 9.85% |
| Divorced | 103 | 9.74%, see rank | 13.31% | 11.60% |
US Census 2000 data
Total population: 2,655
| Dayton, WA | % | Washington | U.S. | |
| 15 Years and Over Total | 2,069 | see rank | 4,639,522 | 221,148,671 |
| Males, 15 Years and Over | 984 | 100%, see rank | 2,287,431 | 107,027,405 |
| Never Married | 228 | 23.17%, see rank | 29.79% | 30.26% |
| Married | 616 | 62.60%, see rank | 57.98% | 58.58% |
| Widowed | 33 | 3.35%, see rank | 2.10% | 2.52% |
| Divorced | 107 | 10.87%, see rank | 10.14% | 8.65% |
| Females, 15 Years and Over | 1,085 | 100%, see rank | 2,352,091 | 114,121,266 |
| Never Married | 148 | 13.64%, see rank | 22.84% | 24.13% |
| Married | 611 | 56.31%, see rank | 55.93% | 54.60% |
| Widowed | 164 | 15.12%, see rank | 8.57% | 10.49% |
| Divorced | 162 | 14.93%, see rank | 12.66% | 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.