04605 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 04605 Zip Code | Maine | U.S. |
Total Housing Units | 8,287, 100% | 724,685 | 132,741,033 |
1 Room | 331, 3.99%, see rank | 2.56% | 1.95% |
2 Rooms | 570, 6.88%, see rank | 3.57% | 2.48% |
3 Rooms | 1,063, 12.83%, see rank | 9.58% | 9.13% |
4 Rooms | 1,585, 19.13%, see rank | 17.70% | 16.60% |
5 Rooms | 1,674, 20.20%, see rank | 20.22% | 20.41% |
6 Rooms | 1,345, 16.23%, see rank | 17.50% | 18.06% |
7 Rooms | 772, 9.32%, see rank | 11.95% | 12.27% |
8 Rooms | 497, 6.00%, see rank | 7.74% | 8.48% |
9 Rooms or More | 450, 5.43%, see rank | 9.17% | 10.60% |
Median Rooms | 4.90, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 04605 Zip Code | Maine | U.S. |
Total Housing Units | 8,532, 100% | 721,171 | 131,642,457 |
1 Room | 224, 2.63%, see rank | 2.44% | 1.95% |
2 Rooms | 504, 5.91%, see rank | 3.37% | 2.36% |
3 Rooms | 1,036, 12.14%, see rank | 9.42% | 8.97% |
4 Rooms | 1,732, 20.30%, see rank | 17.67% | 16.57% |
5 Rooms | 1,850, 21.68%, see rank | 20.35% | 20.41% |
6 Rooms | 1,409, 16.51%, see rank | 17.62% | 18.25% |
7 Rooms | 752, 8.81%, see rank | 12.14% | 12.38% |
8 Rooms | 560, 6.56%, see rank | 7.89% | 8.59% |
9 Rooms or More | 465, 5.45%, see rank | 9.09% | 10.52% |
Median Rooms | 4.90, see rank | 5.30 | 5.50 |
US Census 2000 data
| 04605 Zip Code | Maine | U.S. |
Total Housing Units | 6,439, 100% | 651,901 | 115,904,641 |
1 Room | 136, 2.11%, see rank | 1.51% | 2.20% |
2 Rooms | 325, 5.05%, see rank | 3.74% | 4.81% |
3 Rooms | 605, 9.40%, see rank | 9.08% | 9.84% |
4 Rooms | 1,372, 21.31%, see rank | 18.70% | 15.97% |
5 Rooms | 1,471, 22.85%, see rank | 22.02% | 20.89% |
6 Rooms | 1,040, 16.15%, see rank | 17.87% | 18.45% |
7 Rooms | 744, 11.55%, see rank | 11.99% | 12.06% |
8 Rooms | 357, 5.54%, see rank | 7.69% | 8.06% |
9 Rooms or More | 389, 6.04%, see rank | 7.41% | 7.70% |
Median Rooms | 5.00, see rank | 5.30 | 5.30 |
* 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.