USA.com / Vermont / Chittenden County / Burlington, VT / 05408 / Population and Races / Historical Household and Family Data
05408 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 9,921
05408 Zip Code | Vermont | U.S. | |
Total Households | 4,043, 100% | 257,252 | 116,211,092 |
Average Household Size | 2.37, see rank | 2.34 | 2.63 |
1 Person Households | 1,090, 26.96%, see rank | 28.54% | 27.57% |
2 or More Person Households | 2,953, 73.04%, see rank | 71.46% | 72.43% |
Family Households (Families) | 2,673, 66.11%, see rank | 62.53% | 66.22% |
Average Family Size | 2.96, see rank | 2.95 | 3.32 |
Married-Couple Family | 2,067, 51.13%, see rank | 49.19% | 48.42% |
Nonfamily Households | 1,370, 33.89%, see rank | 37.47% | 33.78% |
US Census 2010 data
Total population: 10,114
05408 Zip Code | Vermont | U.S. | |
Total Households | 4,120, 100% | 256,442 | 116,716,292 |
Average Household Size | 2.38, see rank | 2.34 | 2.58 |
1 Person Households | 1,121, 27.21%, see rank | 28.17% | 26.74% |
2 or More Person Households | 2,999, 72.79%, see rank | 71.83% | 73.26% |
Family Households (Families) | 2,644, 64.17%, see rank | 62.53% | 66.43% |
Average Family Size | 2.91, see rank | 2.85 | 3.14 |
Married-Couple Family | 2,028, 49.22%, see rank | 48.51% | 48.42% |
Nonfamily Households | 1,476, 35.83%, see rank | 37.47% | 33.57% |
ACS 2008-2012 data
Total population: 10,302
05408 Zip Code | Vermont | U.S. | |
Total Households | 4,278, 100% | 256,830 | 115,226,802 |
Average Household Size | 2.33, see rank | 2.34 | 2.61 |
1 Person Households | 1,273, 29.76%, see rank | 27.92% | 27.45% |
2 or More Person Households | 3,005, 70.24%, see rank | 72.08% | 72.55% |
Family Households (Families) | 2,722, 63.63%, see rank | 62.97% | 66.47% |
Average Family Size | 2.97, see rank | 2.94 | 3.29 |
Married-Couple Family | 2,093, 48.92%, see rank | 49.76% | 48.97% |
Nonfamily Households | 1,556, 36.37%, see rank | 37.03% | 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.