USA.com / Maine / Washington County / Lambert Lake, ME / 04454 / Population and Races / Historical Household and Family Data
04454 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 40
| 04454 Zip Code | Maine | U.S. | |
| Total Households | 21, 100% | 553,086 | 116,211,092 |
| Average Household Size | 1.90, see rank | 2.34 | 2.63 |
| 1 Person Households | 7, 33.33%, see rank | 29.06% | 27.57% |
| 2 or More Person Households | 14, 66.67%, see rank | 70.94% | 72.43% |
| Family Households (Families) | 14, 66.67%, see rank | 62.91% | 66.22% |
| Average Family Size | 2.36, see rank | 2.96 | 3.32 |
| Married-Couple Family | 7, 33.33%, see rank | 48.92% | 48.42% |
| Nonfamily Households | 7, 33.33%, see rank | 37.09% | 33.78% |
US Census 2010 data
Total population: 69
| 04454 Zip Code | Maine | U.S. | |
| Total Households | 35, 100% | 557,219 | 116,716,292 |
| Average Household Size | 1.97, see rank | 2.32 | 2.58 |
| 1 Person Households | 13, 37.14%, see rank | 28.63% | 26.74% |
| 2 or More Person Households | 22, 62.86%, see rank | 71.37% | 73.26% |
| Family Households (Families) | 22, 62.86%, see rank | 62.92% | 66.43% |
| Average Family Size | 2.50, see rank | 2.83 | 3.14 |
| Married-Couple Family | 17, 48.57%, see rank | 48.47% | 48.42% |
| Nonfamily Households | 13, 37.14%, see rank | 37.08% | 33.57% |
ACS 2008-2012 data
Total population: 86
| 04454 Zip Code | Maine | U.S. | |
| Total Households | 37, 100% | 553,208 | 115,226,802 |
| Average Household Size | 2.32, see rank | 2.34 | 2.61 |
| 1 Person Households | 6, 16.22%, see rank | 28.94% | 27.45% |
| 2 or More Person Households | 31, 83.78%, see rank | 71.06% | 72.55% |
| Family Households (Families) | 31, 83.78%, see rank | 63.24% | 66.47% |
| Average Family Size | 2.58, see rank | 2.96 | 3.29 |
| Married-Couple Family | 21, 56.76%, see rank | 49.51% | 48.97% |
| Nonfamily Households | 6, 16.22%, see rank | 36.76% | 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.