USA.com / Washington / Lincoln County / Lamona, WA / 99144 / Population and Races / Historical Household and Family Data
99144 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 37
| 99144 Zip Code | Washington | U.S. | |
| Total Households | 20, 100% | 2,645,396 | 116,211,092 |
| Average Household Size | 1.85, see rank | 2.55 | 2.63 |
| 1 Person Households | 10, 50.00%, see rank | 27.79% | 27.57% |
| 2 or More Person Households | 10, 50.00%, see rank | 72.21% | 72.43% |
| Family Households (Families) | 10, 50.00%, see rank | 64.48% | 66.22% |
| Average Family Size | 2.70, see rank | 3.23 | 3.32 |
| Married-Couple Family | 10, 50.00%, see rank | 49.73% | 48.42% |
| Nonfamily Households | 10, 50.00%, see rank | 35.52% | 33.78% |
US Census 2010 data
Total population: 43
| 99144 Zip Code | Washington | U.S. | |
| Total Households | 15, 100% | 2,620,076 | 116,716,292 |
| Average Household Size | 2.87, see rank | 2.51 | 2.58 |
| 1 Person Households | 2, 13.33%, see rank | 27.16% | 26.74% |
| 2 or More Person Households | 13, 86.67%, see rank | 72.84% | 73.26% |
| Family Households (Families) | 13, 86.67%, see rank | 64.40% | 66.43% |
| Average Family Size | 3.15, see rank | 3.06 | 3.14 |
| Married-Couple Family | 9, 60.00%, see rank | 49.19% | 48.42% |
| Nonfamily Households | 2, 13.33%, see rank | 35.60% | 33.57% |
ACS 2008-2012 data
Total population: 56
| 99144 Zip Code | Washington | U.S. | |
| Total Households | 30, 100% | 2,619,995 | 115,226,802 |
| Average Household Size | 1.87, see rank | 2.52 | 2.61 |
| 1 Person Households | 12, 40.00%, see rank | 27.74% | 27.45% |
| 2 or More Person Households | 18, 60.00%, see rank | 72.26% | 72.55% |
| Family Households (Families) | 18, 60.00%, see rank | 64.49% | 66.47% |
| Average Family Size | 2.44, see rank | 3.18 | 3.29 |
| Married-Couple Family | 18, 60.00%, see rank | 49.98% | 48.97% |
| Nonfamily Households | 12, 40.00%, see rank | 35.51% | 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.