Burlington Micro Area Historical House Amount of Units in Structure Data
ACS 2010-2014 data
| Burlington Area | % | U.S. |
Total Housing Units | 22,314 | 100% | 132,741,033 |
1-unit, Detached | 17,373 | 77.86%, see rank | 61.65% |
1-unit, Attached | 430 | 1.93%, see rank | 5.82% |
2 Units | 615 | 2.76%, see rank | 3.75% |
3 or 4 Units | 899 | 4.03%, see rank | 4.43% |
5 to 9 Units | 702 | 3.15%, see rank | 4.78% |
10 or More Units | 1,023 | 4.58%, see rank | 13.08% |
Mobile Home, Boat, RV, Van, etc. | 1,272 | 5.70%, see rank | 6.49% |
ACS 2008-2012 data
| Burlington Area | % | U.S. |
Total Housing Units | 22,393 | 100% | 131,642,457 |
1-unit, Detached | 17,490 | 78.10%, see rank | 61.70% |
1-unit, Attached | 313 | 1.40%, see rank | 5.79% |
2 Units | 695 | 3.10%, see rank | 3.80% |
3 or 4 Units | 969 | 4.33%, see rank | 4.44% |
5 to 9 Units | 655 | 2.93%, see rank | 4.78% |
10 or More Units | 909 | 4.06%, see rank | 12.89% |
Mobile Home, Boat, RV, Van, etc. | 1,362 | 6.08%, see rank | 6.60% |
ACS 2006-2010 data
| Burlington Area | % | U.S. |
Total Housing Units | 22,529 | 100% | 130,038,080 |
1-unit, Detached | 17,433 | 77.38%, see rank | 61.62% |
1-unit, Attached | 239 | 1.06%, see rank | 5.74% |
2 Units | 744 | 3.30%, see rank | 3.88% |
3 or 4 Units | 1,045 | 4.64%, see rank | 4.47% |
5 to 9 Units | 872 | 3.87%, see rank | 4.84% |
10 or More Units | 787 | 3.49%, see rank | 12.68% |
Mobile Home, Boat, RV, Van, etc. | 1,409 | 6.25%, see rank | 6.76% |
ACS 2005-2009 data
| Burlington Area | % | U.S. |
Total Housing Units | 23,197 | 100% | 127,699,712 |
1-unit, Detached | 18,054 | 77.83%, see rank | 61.57% |
1-unit, Attached | 319 | 1.38%, see rank | 5.70% |
2 Units | 750 | 3.23%, see rank | 3.94% |
3 or 4 Units | 1,069 | 4.61%, see rank | 4.51% |
5 to 9 Units | 767 | 3.31%, see rank | 4.87% |
10 or More Units | 693 | 2.99%, see rank | 12.58% |
Mobile Home, Boat, RV, Van, etc. | 1,545 | 6.66%, see rank | 6.85% |
* 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.