USA.com / Minnesota / Mille Lacs County / Pease, MN / 56363 / Population and Races / Historical Household and Family Data
56363 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 151
| 56363 Zip Code | Minnesota | U.S. | |
| Total Households | 47, 100% | 2,115,337 | 116,211,092 |
| Average Household Size | 3.21, see rank | 2.48 | 2.63 |
| 1 Person Households | 9, 19.15%, see rank | 28.24% | 27.57% |
| 2 or More Person Households | 38, 80.85%, see rank | 71.76% | 72.43% |
| Family Households (Families) | 31, 65.96%, see rank | 64.87% | 66.22% |
| Average Family Size | 3.97, see rank | 3.13 | 3.32 |
| Married-Couple Family | 17, 36.17%, see rank | 51.06% | 48.42% |
| Nonfamily Households | 16, 34.04%, see rank | 35.13% | 33.78% |
US Census 2010 data
Total population: 155
| 56363 Zip Code | Minnesota | U.S. | |
| Total Households | 54, 100% | 2,087,227 | 116,716,292 |
| Average Household Size | 2.87, see rank | 2.48 | 2.58 |
| 1 Person Households | 9, 16.67%, see rank | 27.98% | 26.74% |
| 2 or More Person Households | 45, 83.33%, see rank | 72.02% | 73.26% |
| Family Households (Families) | 40, 74.07%, see rank | 64.63% | 66.43% |
| Average Family Size | 3.08, see rank | 3.05 | 3.14 |
| Married-Couple Family | 25, 46.30%, see rank | 50.81% | 48.42% |
| Nonfamily Households | 14, 25.93%, see rank | 35.37% | 33.57% |
ACS 2008-2012 data
Total population: 107
| 56363 Zip Code | Minnesota | U.S. | |
| Total Households | 35, 100% | 2,101,875 | 115,226,802 |
| Average Household Size | 3.06, see rank | 2.46 | 2.61 |
| 1 Person Households | 5, 14.29%, see rank | 28.21% | 27.45% |
| 2 or More Person Households | 30, 85.71%, see rank | 71.79% | 72.55% |
| Family Households (Families) | 24, 68.57%, see rank | 64.98% | 66.47% |
| Average Family Size | 3.71, see rank | 3.11 | 3.29 |
| Married-Couple Family | 13, 37.14%, see rank | 51.48% | 48.97% |
| Nonfamily Households | 11, 31.43%, see rank | 35.02% | 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.