04090 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 04090 Zip Code | Maine | U.S. |
Total Housing Units | 8,290, 100% | 724,685 | 132,741,033 |
1 Room | 322, 3.88%, see rank | 2.56% | 1.95% |
2 Rooms | 320, 3.86%, see rank | 3.57% | 2.48% |
3 Rooms | 864, 10.42%, see rank | 9.58% | 9.13% |
4 Rooms | 1,267, 15.28%, see rank | 17.70% | 16.60% |
5 Rooms | 1,246, 15.03%, see rank | 20.22% | 20.41% |
6 Rooms | 1,586, 19.13%, see rank | 17.50% | 18.06% |
7 Rooms | 1,304, 15.73%, see rank | 11.95% | 12.27% |
8 Rooms | 724, 8.73%, see rank | 7.74% | 8.48% |
9 Rooms or More | 657, 7.93%, see rank | 9.17% | 10.60% |
Median Rooms | 5.60, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 04090 Zip Code | Maine | U.S. |
Total Housing Units | 8,011, 100% | 721,171 | 131,642,457 |
1 Room | 293, 3.66%, see rank | 2.44% | 1.95% |
2 Rooms | 493, 6.15%, see rank | 3.37% | 2.36% |
3 Rooms | 741, 9.25%, see rank | 9.42% | 8.97% |
4 Rooms | 1,025, 12.79%, see rank | 17.67% | 16.57% |
5 Rooms | 1,079, 13.47%, see rank | 20.35% | 20.41% |
6 Rooms | 1,646, 20.55%, see rank | 17.62% | 18.25% |
7 Rooms | 1,095, 13.67%, see rank | 12.14% | 12.38% |
8 Rooms | 746, 9.31%, see rank | 7.89% | 8.59% |
9 Rooms or More | 893, 11.15%, see rank | 9.09% | 10.52% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
US Census 2000 data
| 04090 Zip Code | Maine | U.S. |
Total Housing Units | 7,787, 100% | 651,901 | 115,904,641 |
1 Room | 221, 2.84%, see rank | 1.51% | 2.20% |
2 Rooms | 632, 8.12%, see rank | 3.74% | 4.81% |
3 Rooms | 871, 11.19%, see rank | 9.08% | 9.84% |
4 Rooms | 1,491, 19.15%, see rank | 18.70% | 15.97% |
5 Rooms | 1,390, 17.85%, see rank | 22.02% | 20.89% |
6 Rooms | 1,226, 15.74%, see rank | 17.87% | 18.45% |
7 Rooms | 954, 12.25%, see rank | 11.99% | 12.06% |
8 Rooms | 483, 6.20%, see rank | 7.69% | 8.06% |
9 Rooms or More | 519, 6.66%, 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.