USA.com / Idaho / Boundary County / Eastport, ID / 83826 / Population and Races / Historical Household and Family Data
83826 Zip Code Historical Household and Family Data
US Census 2010 data
Total population: 45
| 83826 Zip Code | Idaho | U.S. | |
| Total Households | 20, 100% | 579,408 | 116,716,292 |
| Average Household Size | 2.25, see rank | 2.66 | 2.58 |
| 1 Person Households | 7, 35.00%, see rank | 23.78% | 26.74% |
| 2 or More Person Households | 13, 65.00%, see rank | 76.22% | 73.26% |
| Family Households (Families) | 11, 55.00%, see rank | 69.58% | 66.43% |
| Average Family Size | 3.00, see rank | 3.16 | 3.14 |
| Married-Couple Family | 9, 45.00%, see rank | 55.30% | 48.42% |
| Nonfamily Households | 9, 45.00%, see rank | 30.42% | 33.57% |
ACS 2008-2012 data
Total population: 34
| 83826 Zip Code | Idaho | U.S. | |
| Total Households | 13, 100% | 577,648 | 115,226,802 |
| Average Household Size | 2.62, see rank | 2.66 | 2.61 |
| 1 Person Households | 0, 0.00%, see rank | 23.81% | 27.45% |
| 2 or More Person Households | 13, 100.00%, see rank | 76.19% | 72.55% |
| Family Households (Families) | 0, 0.00%, see rank | 69.95% | 66.47% |
| Average Family Size | 0.00, see rank | 3.24 | 3.29 |
| Married-Couple Family | 0, 0.00%, see rank | 56.14% | 48.97% |
| Nonfamily Households | 13, 100.00%, see rank | 30.05% | 33.53% |
US Census 2000 data
Total population: 94
| 83826 Zip Code | Idaho | U.S. | |
| Total Households | 50, 100% | 469,645 | 105,480,101 |
| Average Household Size | 1.88, see rank | 2.69 | 2.59 |
| 1 Person Households | 21, 42.00%, see rank | 22.39% | 25.82% |
| 2 or More Person Households | 29, 58.00%, see rank | 77.61% | 74.18% |
| Family Households (Families) | 29, 58.00%, see rank | 71.46% | 68.06% |
| Average Family Size | 2.45, see rank | 3.17 | 3.14 |
| Married-Couple Family | 26, 52.00%, see rank | 58.88% | 51.66% |
| Nonfamily Households | 21, 42.00%, see rank | 28.54% | 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.