USA.com / Michigan / Oakland County / Troy, MI / 48085 / Population and Races / Historical Household and Family Data
48085 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 24,410
48085 Zip Code | Michigan | U.S. | |
Total Households | 8,275, 100% | 3,827,880 | 116,211,092 |
Average Household Size | 2.93, see rank | 2.52 | 2.63 |
1 Person Households | 1,251, 15.12%, see rank | 28.90% | 27.57% |
2 or More Person Households | 7,024, 84.88%, see rank | 71.10% | 72.43% |
Family Households (Families) | 6,753, 81.61%, see rank | 65.34% | 66.22% |
Average Family Size | 3.31, see rank | 3.20 | 3.32 |
Married-Couple Family | 5,806, 70.16%, see rank | 48.00% | 48.42% |
Nonfamily Households | 1,522, 18.39%, see rank | 34.66% | 33.78% |
US Census 2010 data
Total population: 24,660
48085 Zip Code | Michigan | U.S. | |
Total Households | 8,474, 100% | 3,872,508 | 116,716,292 |
Average Household Size | 2.89, see rank | 2.49 | 2.58 |
1 Person Households | 1,192, 14.07%, see rank | 27.88% | 26.74% |
2 or More Person Households | 7,282, 85.93%, see rank | 72.12% | 73.26% |
Family Households (Families) | 7,083, 83.59%, see rank | 65.95% | 66.43% |
Average Family Size | 3.20, see rank | 3.05 | 3.14 |
Married-Couple Family | 6,243, 73.67%, see rank | 47.96% | 48.42% |
Nonfamily Households | 1,391, 16.41%, see rank | 34.05% | 33.57% |
ACS 2008-2012 data
Total population: 24,362
48085 Zip Code | Michigan | U.S. | |
Total Households | 8,385, 100% | 3,818,931 | 115,226,802 |
Average Household Size | 2.89, see rank | 2.53 | 2.61 |
1 Person Households | 1,355, 16.16%, see rank | 28.58% | 27.45% |
2 or More Person Households | 7,030, 83.84%, see rank | 71.42% | 72.55% |
Family Households (Families) | 6,855, 81.75%, see rank | 65.96% | 66.47% |
Average Family Size | 3.28, see rank | 3.20 | 3.29 |
Married-Couple Family | 6,005, 71.62%, see rank | 48.96% | 48.97% |
Nonfamily Households | 1,530, 18.25%, see rank | 34.04% | 33.53% |
* 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.