Quincy Micro Area Historical House Amount of Units in Structure Data
ACS 2010-2014 data
| Quincy Area | % | U.S. |
Total Housing Units | 34,411 | 100% | 132,741,033 |
1-unit, Detached | 25,540 | 74.22%, see rank | 61.65% |
1-unit, Attached | 942 | 2.74%, see rank | 5.82% |
2 Units | 1,515 | 4.40%, see rank | 3.75% |
3 or 4 Units | 1,757 | 5.11%, see rank | 4.43% |
5 to 9 Units | 788 | 2.29%, see rank | 4.78% |
10 or More Units | 1,422 | 4.13%, see rank | 13.08% |
Mobile Home, Boat, RV, Van, etc. | 2,447 | 7.11%, see rank | 6.49% |
ACS 2008-2012 data
| Quincy Area | % | U.S. |
Total Housing Units | 34,446 | 100% | 131,642,457 |
1-unit, Detached | 26,107 | 75.79%, see rank | 61.70% |
1-unit, Attached | 815 | 2.37%, see rank | 5.79% |
2 Units | 1,343 | 3.90%, see rank | 3.80% |
3 or 4 Units | 1,774 | 5.15%, see rank | 4.44% |
5 to 9 Units | 844 | 2.45%, see rank | 4.78% |
10 or More Units | 1,221 | 3.54%, see rank | 12.89% |
Mobile Home, Boat, RV, Van, etc. | 2,342 | 6.80%, see rank | 6.60% |
ACS 2006-2010 data
| Quincy Area | % | U.S. |
Total Housing Units | 34,471 | 100% | 130,038,080 |
1-unit, Detached | 25,773 | 74.77%, see rank | 61.62% |
1-unit, Attached | 786 | 2.28%, see rank | 5.74% |
2 Units | 1,422 | 4.13%, see rank | 3.88% |
3 or 4 Units | 1,786 | 5.18%, see rank | 4.47% |
5 to 9 Units | 910 | 2.64%, see rank | 4.84% |
10 or More Units | 1,252 | 3.63%, see rank | 12.68% |
Mobile Home, Boat, RV, Van, etc. | 2,542 | 7.37%, see rank | 6.76% |
ACS 2005-2009 data
| Quincy Area | % | U.S. |
Total Housing Units | 35,182 | 100% | 127,699,712 |
1-unit, Detached | 25,950 | 73.76%, see rank | 61.57% |
1-unit, Attached | 708 | 2.01%, see rank | 5.70% |
2 Units | 1,506 | 4.28%, see rank | 3.94% |
3 or 4 Units | 2,016 | 5.73%, see rank | 4.51% |
5 to 9 Units | 978 | 2.78%, see rank | 4.87% |
10 or More Units | 1,241 | 3.53%, see rank | 12.58% |
Mobile Home, Boat, RV, Van, etc. | 2,783 | 7.91%, 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.