48743 Zip Code Historical Marital Status Data
ACS 2010-2014 data
Total population: 29
| 48743 Zip Code | % | Michigan | U.S. | |
| 15 Years and Over Total | 29 | see rank | 8,030,282 | 252,974,135 |
| Males, 15 Years and Over | 20 | 100%, see rank | 3,903,030 | 123,281,364 |
| Never Married | 5 | 25.00%, see rank | 35.49% | 35.77% |
| Married | 10 | 50.00%, see rank | 51.21% | 52.04% |
| Widowed | 0 | 0.00%, see rank | 2.74% | 2.57% |
| Divorced | 5 | 25.00%, see rank | 10.56% | 9.62% |
| Females, 15 Years and Over | 9 | 100%, see rank | 4,127,252 | 129,692,771 |
| Never Married | 0 | 0.00%, see rank | 29.42% | 29.48% |
| Married | 9 | 100.00%, see rank | 48.54% | 49.19% |
| Widowed | 0 | 0.00%, see rank | 9.51% | 9.16% |
| Divorced | 0 | 0.00%, see rank | 12.53% | 12.16% |
ACS 2008-2012 data
Total population: 3
| 48743 Zip Code | % | Michigan | U.S. | |
| 15 Years and Over Total | 3 | see rank | 7,992,017 | 248,042,237 |
| Males, 15 Years and Over | 3 | 100%, see rank | 3,880,888 | 120,789,875 |
| Never Married | 0 | 0.00%, see rank | 34.86% | 35.08% |
| Married | 0 | 0.00%, see rank | 52.21% | 52.93% |
| Widowed | 0 | 0.00%, see rank | 2.68% | 2.53% |
| Divorced | 3 | 100.00%, see rank | 10.25% | 9.46% |
US Census 2000 data
Total population: 25
| 48743 Zip Code | % | Michigan | U.S. | |
| 15 Years and Over Total | 26 | see rank | 7,775,603 | 221,148,671 |
| Males, 15 Years and Over | 20 | 100%, see rank | 3,761,881 | 107,027,405 |
| Never Married | 10 | 50.00%, see rank | 30.83% | 30.26% |
| Married | 5 | 25.00%, see rank | 57.34% | 58.58% |
| Widowed | 5 | 25.00%, see rank | 2.55% | 2.52% |
| Divorced | 0 | 0.00%, see rank | 9.28% | 8.65% |
| Females, 15 Years and Over | 6 | 100%, see rank | 4,013,722 | 114,121,266 |
| Never Married | 0 | 0.00%, see rank | 24.99% | 24.13% |
| Married | 6 | 100.00%, see rank | 53.39% | 54.60% |
| Widowed | 0 | 0.00%, see rank | 10.39% | 10.49% |
| Divorced | 0 | 0.00%, see rank | 11.22% | 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.