USA.com / Montana / Lake County / Ravalli, MT / 59863 / Population and Races / Historical Household and Family Data
59863 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 77
| 59863 Zip Code | Montana | U.S. | |
| Total Households | 57, 100% | 407,797 | 116,211,092 |
| Average Household Size | 1.35, see rank | 2.40 | 2.63 |
| 1 Person Households | 35, 61.40%, see rank | 30.21% | 27.57% |
| 2 or More Person Households | 22, 38.60%, see rank | 69.79% | 72.43% |
| Family Households (Families) | 22, 38.60%, see rank | 62.78% | 66.22% |
| Average Family Size | 1.91, see rank | 3.06 | 3.32 |
| Married-Couple Family | 22, 38.60%, see rank | 49.61% | 48.42% |
| Nonfamily Households | 35, 61.40%, see rank | 37.22% | 33.78% |
US Census 2010 data
Total population: 76
| 59863 Zip Code | Montana | U.S. | |
| Total Households | 38, 100% | 409,607 | 116,716,292 |
| Average Household Size | 2.00, see rank | 2.35 | 2.58 |
| 1 Person Households | 11, 28.95%, see rank | 29.73% | 26.74% |
| 2 or More Person Households | 27, 71.05%, see rank | 70.27% | 73.26% |
| Family Households (Families) | 24, 63.16%, see rank | 62.76% | 66.43% |
| Average Family Size | 2.42, see rank | 2.91 | 3.14 |
| Married-Couple Family | 16, 42.11%, see rank | 49.22% | 48.42% |
| Nonfamily Households | 14, 36.84%, see rank | 37.24% | 33.57% |
ACS 2008-2012 data
Total population: 66
| 59863 Zip Code | Montana | U.S. | |
| Total Households | 54, 100% | 405,508 | 115,226,802 |
| Average Household Size | 1.22, see rank | 2.37 | 2.61 |
| 1 Person Households | 38, 70.37%, see rank | 29.85% | 27.45% |
| 2 or More Person Households | 16, 29.63%, see rank | 70.15% | 72.55% |
| Family Households (Families) | 16, 29.63%, see rank | 63.19% | 66.47% |
| Average Family Size | 1.75, see rank | 3.02 | 3.29 |
| Married-Couple Family | 16, 29.63%, see rank | 50.48% | 48.97% |
| Nonfamily Households | 38, 70.37%, see rank | 36.81% | 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.