USA.com / Washington / Spokane County / Waverly, WA / 99039 / Population and Races / Historical Household and Family Data
99039 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 100
| 99039 Zip Code | Washington | U.S. | |
| Total Households | 50, 100% | 2,645,396 | 116,211,092 |
| Average Household Size | 2.00, see rank | 2.55 | 2.63 |
| 1 Person Households | 20, 40.00%, see rank | 27.79% | 27.57% |
| 2 or More Person Households | 30, 60.00%, see rank | 72.21% | 72.43% |
| Family Households (Families) | 26, 52.00%, see rank | 64.48% | 66.22% |
| Average Family Size | 2.77, see rank | 3.23 | 3.32 |
| Married-Couple Family | 22, 44.00%, see rank | 49.73% | 48.42% |
| Nonfamily Households | 24, 48.00%, see rank | 35.52% | 33.78% |
US Census 2010 data
Total population: 87
| 99039 Zip Code | Washington | U.S. | |
| Total Households | 40, 100% | 2,620,076 | 116,716,292 |
| Average Household Size | 2.18, see rank | 2.51 | 2.58 |
| 1 Person Households | 12, 30.00%, see rank | 27.16% | 26.74% |
| 2 or More Person Households | 28, 70.00%, see rank | 72.84% | 73.26% |
| Family Households (Families) | 25, 62.50%, see rank | 64.40% | 66.43% |
| Average Family Size | 2.72, see rank | 3.06 | 3.14 |
| Married-Couple Family | 23, 57.50%, see rank | 49.19% | 48.42% |
| Nonfamily Households | 15, 37.50%, see rank | 35.60% | 33.57% |
ACS 2008-2012 data
Total population: 78
| 99039 Zip Code | Washington | U.S. | |
| Total Households | 47, 100% | 2,619,995 | 115,226,802 |
| Average Household Size | 1.66, see rank | 2.52 | 2.61 |
| 1 Person Households | 19, 40.43%, see rank | 27.74% | 27.45% |
| 2 or More Person Households | 28, 59.57%, see rank | 72.26% | 72.55% |
| Family Households (Families) | 24, 51.06%, see rank | 64.49% | 66.47% |
| Average Family Size | 2.13, see rank | 3.18 | 3.29 |
| Married-Couple Family | 23, 48.94%, see rank | 49.98% | 48.97% |
| Nonfamily Households | 23, 48.94%, 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.