USA.com / Michigan / Cheboygan County / Burt Lake, MI / 49717 / Population and Races / Historical Household and Family Data
49717 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 136
| 49717 Zip Code | Michigan | U.S. | |
| Total Households | 85, 100% | 3,827,880 | 116,211,092 |
| Average Household Size | 1.60, see rank | 2.52 | 2.63 |
| 1 Person Households | 31, 36.47%, see rank | 28.90% | 27.57% |
| 2 or More Person Households | 54, 63.53%, see rank | 71.10% | 72.43% |
| Family Households (Families) | 54, 63.53%, see rank | 65.34% | 66.22% |
| Average Family Size | 1.94, see rank | 3.20 | 3.32 |
| Married-Couple Family | 54, 63.53%, see rank | 48.00% | 48.42% |
| Nonfamily Households | 31, 36.47%, see rank | 34.66% | 33.78% |
US Census 2010 data
Total population: 72
| 49717 Zip Code | Michigan | U.S. | |
| Total Households | 40, 100% | 3,872,508 | 116,716,292 |
| Average Household Size | 1.80, see rank | 2.49 | 2.58 |
| 1 Person Households | 14, 35.00%, see rank | 27.88% | 26.74% |
| 2 or More Person Households | 26, 65.00%, see rank | 72.12% | 73.26% |
| Family Households (Families) | 26, 65.00%, see rank | 65.95% | 66.43% |
| Average Family Size | 2.23, see rank | 3.05 | 3.14 |
| Married-Couple Family | 24, 60.00%, see rank | 47.96% | 48.42% |
| Nonfamily Households | 14, 35.00%, see rank | 34.05% | 33.57% |
ACS 2008-2012 data
Total population: 58
| 49717 Zip Code | Michigan | U.S. | |
| Total Households | 41, 100% | 3,818,931 | 115,226,802 |
| Average Household Size | 1.41, see rank | 2.53 | 2.61 |
| 1 Person Households | 25, 60.98%, see rank | 28.58% | 27.45% |
| 2 or More Person Households | 16, 39.02%, see rank | 71.42% | 72.55% |
| Family Households (Families) | 16, 39.02%, see rank | 65.96% | 66.47% |
| Average Family Size | 2.06, see rank | 3.20 | 3.29 |
| Married-Couple Family | 16, 39.02%, see rank | 48.96% | 48.97% |
| Nonfamily Households | 25, 60.98%, 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.