USA.com / Wyoming / Natrona County / Powder River, WY / 82648 / Population and Races / Historical Household and Family Data
82648 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 13
| 82648 Zip Code | Wyoming | U.S. | |
| Total Households | 13, 100% | 225,514 | 116,211,092 |
| Average Household Size | 1.00, see rank | 2.49 | 2.63 |
| 1 Person Households | 13, 100.00%, see rank | 27.66% | 27.57% |
| 2 or More Person Households | 0, 0.00%, see rank | 72.34% | 72.43% |
| Family Households (Families) | 0, 0.00%, see rank | 65.33% | 66.22% |
| Average Family Size | 0.00, see rank | 3.12 | 3.32 |
| Married-Couple Family | 0, 0.00%, see rank | 52.16% | 48.42% |
| Nonfamily Households | 13, 100.00%, see rank | 34.67% | 33.78% |
US Census 2010 data
Total population: 56
| 82648 Zip Code | Wyoming | U.S. | |
| Total Households | 26, 100% | 226,879 | 116,716,292 |
| Average Household Size | 2.15, see rank | 2.42 | 2.58 |
| 1 Person Households | 10, 38.46%, see rank | 27.98% | 26.74% |
| 2 or More Person Households | 16, 61.54%, see rank | 72.02% | 73.26% |
| Family Households (Families) | 15, 57.69%, see rank | 64.64% | 66.43% |
| Average Family Size | 2.93, see rank | 2.96 | 3.14 |
| Married-Couple Family | 14, 53.85%, see rank | 50.92% | 48.42% |
| Nonfamily Households | 11, 42.31%, see rank | 35.36% | 33.57% |
ACS 2008-2012 data
Total population: 13
| 82648 Zip Code | Wyoming | U.S. | |
| Total Households | 13, 100% | 221,479 | 115,226,802 |
| Average Household Size | 1.00, see rank | 2.48 | 2.61 |
| 1 Person Households | 13, 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 | 13, 100.00%, see rank | 34.08% | 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.