USA.com / Hawaii / Maui County / Wailuku, HI / Population and Races / Historical Marital Status Data
Wailuku, HI Historical Marital Status Data
ACS 2010-2014 data
Total population: 16,196
| Wailuku, HI | % | Hawaii | U.S. | |
| 15 Years and Over Total | 12,988 | see rank | 1,135,369 | 252,974,135 |
| Males, 15 Years and Over | 6,681 | 100%, see rank | 569,152 | 123,281,364 |
| Never Married | 2,246 | 33.62%, see rank | 37.49% | 35.77% |
| Married | 3,335 | 49.92%, see rank | 51.53% | 52.04% |
| Widowed | 237 | 3.55%, see rank | 2.49% | 2.57% |
| Divorced | 863 | 12.92%, see rank | 8.49% | 9.62% |
| Females, 15 Years and Over | 6,307 | 100%, see rank | 566,217 | 129,692,771 |
| Never Married | 1,595 | 25.29%, see rank | 28.77% | 29.48% |
| Married | 3,211 | 50.91%, see rank | 50.81% | 49.19% |
| Widowed | 642 | 10.18%, see rank | 9.97% | 9.16% |
| Divorced | 859 | 13.62%, see rank | 10.45% | 12.16% |
ACS 2008-2012 data
Total population: 15,620
| Wailuku, HI | % | Hawaii | U.S. | |
| 15 Years and Over Total | 12,408 | see rank | 1,110,814 | 248,042,237 |
| Males, 15 Years and Over | 6,167 | 100%, see rank | 553,998 | 120,789,875 |
| Never Married | 2,195 | 35.59%, see rank | 37.18% | 35.08% |
| Married | 3,165 | 51.32%, see rank | 51.97% | 52.93% |
| Widowed | 161 | 2.61%, see rank | 2.29% | 2.53% |
| Divorced | 646 | 10.48%, see rank | 8.56% | 9.46% |
| Females, 15 Years and Over | 6,241 | 100%, see rank | 556,816 | 127,252,362 |
| Never Married | 1,419 | 22.74%, see rank | 28.36% | 28.74% |
| Married | 3,445 | 55.20%, see rank | 51.41% | 49.95% |
| Widowed | 608 | 9.74%, see rank | 9.88% | 9.34% |
| Divorced | 769 | 12.32%, see rank | 10.35% | 11.97% |
ACS 2006-2010 data
Total population: 15,525
| Wailuku, HI | % | Hawaii | U.S. | |
| 15 Years and Over Total | 12,244 | see rank | 1,085,378 | 243,073,468 |
| Males, 15 Years and Over | 5,833 | 100%, see rank | 540,471 | 118,264,295 |
| Never Married | 2,024 | 34.70%, see rank | 36.49% | 34.21% |
| Married | 3,011 | 51.62%, see rank | 52.54% | 54.02% |
| Widowed | 162 | 2.78%, see rank | 2.42% | 2.52% |
| Divorced | 636 | 10.90%, see rank | 8.56% | 9.25% |
| Females, 15 Years and Over | 6,411 | 100%, see rank | 544,907 | 124,809,173 |
| Never Married | 1,696 | 26.45%, see rank | 28.09% | 27.93% |
| Married | 3,294 | 51.38%, see rank | 51.61% | 50.85% |
| Widowed | 466 | 7.27%, see rank | 9.88% | 9.55% |
| Divorced | 955 | 14.90%, see rank | 10.42% | 11.66% |
ACS 2005-2009 data
Total population: 14,060
| Wailuku, HI | % | Hawaii | U.S. | |
| 15 Years and Over Total | 11,333 | see rank | 1,040,398 | 240,146,935 |
| Males, 15 Years and Over | 5,658 | 100%, see rank | 523,098 | 117,166,601 |
| Never Married | 1,900 | 33.58%, see rank | 36.14% | 34.13% |
| Married | 2,855 | 50.46%, see rank | 53.55% | 54.15% |
| Widowed | 146 | 2.58%, see rank | 2.24% | 2.53% |
| Divorced | 757 | 13.38%, see rank | 8.08% | 9.19% |
| Females, 15 Years and Over | 5,675 | 100%, see rank | 517,300 | 122,980,334 |
| Never Married | 1,505 | 26.52%, see rank | 27.03% | 27.67% |
| Married | 2,868 | 50.54%, see rank | 52.54% | 50.88% |
| Widowed | 528 | 9.30%, see rank | 10.14% | 9.85% |
| Divorced | 774 | 13.64%, see rank | 10.29% | 11.60% |
US Census 2000 data
Total population: 12,296
| Wailuku, HI | % | Hawaii | U.S. | |
| 15 Years and Over Total | 9,912 | see rank | 965,875 | 221,148,671 |
| Males, 15 Years and Over | 4,914 | 100%, see rank | 481,768 | 107,027,405 |
| Never Married | 1,678 | 34.15%, see rank | 34.60% | 30.26% |
| Married | 2,535 | 51.59%, see rank | 55.08% | 58.58% |
| Widowed | 127 | 2.58%, see rank | 2.23% | 2.52% |
| Divorced | 574 | 11.68%, see rank | 8.09% | 8.65% |
| Females, 15 Years and Over | 4,998 | 100%, see rank | 484,107 | 114,121,266 |
| Never Married | 1,360 | 27.21%, see rank | 25.95% | 24.13% |
| Married | 2,574 | 51.50%, see rank | 54.29% | 54.60% |
| Widowed | 577 | 11.54%, see rank | 9.80% | 10.49% |
| Divorced | 487 | 9.74%, see rank | 9.96% | 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.