USA.com / Utah / Sanpete County / Sterling, UT / 84665 / Population and Races / Historical Household and Family Data
84665 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 403
| 84665 Zip Code | Utah | U.S. | |
| Total Households | 112, 100% | 896,194 | 116,211,092 |
| Average Household Size | 2.96, see rank | 3.14 | 2.63 |
| 1 Person Households | 19, 16.96%, see rank | 19.46% | 27.57% |
| 2 or More Person Households | 93, 83.04%, see rank | 80.54% | 72.43% |
| Family Households (Families) | 93, 83.04%, see rank | 75.14% | 66.22% |
| Average Family Size | 3.35, see rank | 3.71 | 3.32 |
| Married-Couple Family | 79, 70.54%, see rank | 61.34% | 48.42% |
| Nonfamily Households | 19, 16.96%, see rank | 24.86% | 33.78% |
US Census 2010 data
Total population: 528
| 84665 Zip Code | Utah | U.S. | |
| Total Households | 137, 100% | 877,692 | 116,716,292 |
| Average Household Size | 3.20, see rank | 3.10 | 2.58 |
| 1 Person Households | 19, 13.87%, see rank | 18.69% | 26.74% |
| 2 or More Person Households | 118, 86.13%, see rank | 81.31% | 73.26% |
| Family Households (Families) | 112, 81.75%, see rank | 75.22% | 66.43% |
| Average Family Size | 3.62, see rank | 3.56 | 3.14 |
| Married-Couple Family | 97, 70.80%, see rank | 61.05% | 48.42% |
| Nonfamily Households | 25, 18.25%, see rank | 24.78% | 33.57% |
ACS 2008-2012 data
Total population: 478
| 84665 Zip Code | Utah | U.S. | |
| Total Households | 121, 100% | 880,873 | 115,226,802 |
| Average Household Size | 3.63, see rank | 3.09 | 2.61 |
| 1 Person Households | 5, 4.13%, see rank | 19.52% | 27.45% |
| 2 or More Person Households | 116, 95.87%, see rank | 80.48% | 72.55% |
| Family Households (Families) | 116, 95.87%, see rank | 74.91% | 66.47% |
| Average Family Size | 3.74, see rank | 3.65 | 3.29 |
| Married-Couple Family | 107, 88.43%, see rank | 61.14% | 48.97% |
| Nonfamily Households | 5, 4.13%, see rank | 25.09% | 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.