USA.com / Ohio / Portage County / Wayland, OH / 44285 / Population and Races / Historical Household and Family Data
44285 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 88
| 44285 Zip Code | Ohio | U.S. | |
| Total Households | 16, 100% | 4,570,015 | 116,211,092 |
| Average Household Size | 5.50, see rank | 2.46 | 2.63 |
| 1 Person Households | 4, 25.00%, see rank | 29.80% | 27.57% |
| 2 or More Person Households | 12, 75.00%, see rank | 70.20% | 72.43% |
| Family Households (Families) | 12, 75.00%, see rank | 64.42% | 66.22% |
| Average Family Size | 7.00, see rank | 3.14 | 3.32 |
| Married-Couple Family | 12, 75.00%, see rank | 47.09% | 48.42% |
| Nonfamily Households | 4, 25.00%, see rank | 35.58% | 33.78% |
US Census 2010 data
Total population: 85
| 44285 Zip Code | Ohio | U.S. | |
| Total Households | 31, 100% | 4,603,435 | 116,716,292 |
| Average Household Size | 2.74, see rank | 2.44 | 2.58 |
| 1 Person Households | 8, 25.81%, see rank | 28.86% | 26.74% |
| 2 or More Person Households | 23, 74.19%, see rank | 71.14% | 73.26% |
| Family Households (Families) | 22, 70.97%, see rank | 64.99% | 66.43% |
| Average Family Size | 3.27, see rank | 3.01 | 3.14 |
| Married-Couple Family | 13, 41.94%, see rank | 47.21% | 48.42% |
| Nonfamily Households | 9, 29.03%, see rank | 35.01% | 33.57% |
ACS 2008-2012 data
Total population: 105
| 44285 Zip Code | Ohio | U.S. | |
| Total Households | 24, 100% | 4,555,709 | 115,226,802 |
| Average Household Size | 4.38, see rank | 2.46 | 2.61 |
| 1 Person Households | 0, 0.00%, see rank | 29.44% | 27.45% |
| 2 or More Person Households | 24, 100.00%, see rank | 70.56% | 72.55% |
| Family Households (Families) | 24, 100.00%, see rank | 65.02% | 66.47% |
| Average Family Size | 4.38, see rank | 3.13 | 3.29 |
| Married-Couple Family | 24, 100.00%, see rank | 48.03% | 48.97% |
| Nonfamily Households | 0, 0.00%, see rank | 34.98% | 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.