04101 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 04101 Zip Code | Maine | U.S. |
Total Housing Units | 9,662, 100% | 724,685 | 132,741,033 |
1 Room | 852, 8.82%, see rank | 2.56% | 1.95% |
2 Rooms | 1,017, 10.53%, see rank | 3.57% | 2.48% |
3 Rooms | 2,386, 24.69%, see rank | 9.58% | 9.13% |
4 Rooms | 2,044, 21.16%, see rank | 17.70% | 16.60% |
5 Rooms | 1,699, 17.58%, see rank | 20.22% | 20.41% |
6 Rooms | 796, 8.24%, see rank | 17.50% | 18.06% |
7 Rooms | 369, 3.82%, see rank | 11.95% | 12.27% |
8 Rooms | 235, 2.43%, see rank | 7.74% | 8.48% |
9 Rooms or More | 264, 2.73%, see rank | 9.17% | 10.60% |
Median Rooms | 3.80, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 04101 Zip Code | Maine | U.S. |
Total Housing Units | 10,042, 100% | 721,171 | 131,642,457 |
1 Room | 795, 7.92%, see rank | 2.44% | 1.95% |
2 Rooms | 1,089, 10.84%, see rank | 3.37% | 2.36% |
3 Rooms | 2,566, 25.55%, see rank | 9.42% | 8.97% |
4 Rooms | 2,220, 22.11%, see rank | 17.67% | 16.57% |
5 Rooms | 1,655, 16.48%, see rank | 20.35% | 20.41% |
6 Rooms | 737, 7.34%, see rank | 17.62% | 18.25% |
7 Rooms | 374, 3.72%, see rank | 12.14% | 12.38% |
8 Rooms | 342, 3.41%, see rank | 7.89% | 8.59% |
9 Rooms or More | 264, 2.63%, see rank | 9.09% | 10.52% |
Median Rooms | 3.80, see rank | 5.30 | 5.50 |
US Census 2000 data
| 04101 Zip Code | Maine | U.S. |
Total Housing Units | 9,671, 100% | 651,901 | 115,904,641 |
1 Room | 545, 5.64%, see rank | 1.51% | 2.20% |
2 Rooms | 1,186, 12.26%, see rank | 3.74% | 4.81% |
3 Rooms | 2,738, 28.31%, see rank | 9.08% | 9.84% |
4 Rooms | 2,131, 22.03%, see rank | 18.70% | 15.97% |
5 Rooms | 1,592, 16.46%, see rank | 22.02% | 20.89% |
6 Rooms | 635, 6.57%, see rank | 17.87% | 18.45% |
7 Rooms | 322, 3.33%, see rank | 11.99% | 12.06% |
8 Rooms | 183, 1.89%, see rank | 7.69% | 8.06% |
9 Rooms or More | 339, 3.51%, see rank | 7.41% | 7.70% |
Median Rooms | 3.70, 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.