USA.com / Wyoming / Uinta County / Lonetree, WY / 82936 / Population and Races / Historical Household and Family Data
82936 Zip Code Historical Household and Family Data
US Census 2010 data
Total population: 49
| 82936 Zip Code | Wyoming | U.S. | |
| Total Households | 18, 100% | 226,879 | 116,716,292 |
| Average Household Size | 2.72, see rank | 2.42 | 2.58 |
| 1 Person Households | 2, 11.11%, see rank | 27.98% | 26.74% |
| 2 or More Person Households | 16, 88.89%, see rank | 72.02% | 73.26% |
| Family Households (Families) | 16, 88.89%, see rank | 64.64% | 66.43% |
| Average Family Size | 2.94, see rank | 2.96 | 3.14 |
| Married-Couple Family | 16, 88.89%, see rank | 50.92% | 48.42% |
| Nonfamily Households | 2, 11.11%, see rank | 35.36% | 33.57% |
ACS 2008-2012 data
Total population: 4
| 82936 Zip Code | Wyoming | U.S. | |
| Total Households | 4, 100% | 221,479 | 115,226,802 |
| Average Household Size | 1.00, see rank | 2.48 | 2.61 |
| 1 Person Households | 4, 100.00%, see rank | 27.64% | 27.45% |
| 2 or More Person Households | 0, 0.00%, see rank | 72.36% | 72.55% |
| Family Households (Families) | 0, 0.00%, see rank | 65.92% | 66.47% |
| Average Family Size | 0.00, see rank | 3.10 | 3.29 |
| Married-Couple Family | 0, 0.00%, see rank | 53.05% | 48.97% |
| Nonfamily Households | 4, 100.00%, see rank | 34.08% | 33.53% |
US Census 2000 data
Total population: 68
| 82936 Zip Code | Wyoming | U.S. | |
| Total Households | 18, 100% | 193,608 | 105,480,101 |
| Average Household Size | 3.78, see rank | 2.48 | 2.59 |
| 1 Person Households | 0, 0.00%, see rank | 26.33% | 25.82% |
| 2 or More Person Households | 18, 100.00%, see rank | 73.67% | 74.18% |
| Family Households (Families) | 17, 94.44%, see rank | 67.40% | 68.06% |
| Average Family Size | 3.88, see rank | 3.00 | 3.14 |
| Married-Couple Family | 15, 83.33%, see rank | 54.84% | 51.66% |
| Nonfamily Households | 1, 5.56%, see rank | 32.60% | 31.94% |
* 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.