04102 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 04102 Zip Code | Maine | U.S. |
Total Housing Units | 8,190, 100% | 724,685 | 132,741,033 |
1 Room | 252, 3.08%, see rank | 2.56% | 1.95% |
2 Rooms | 534, 6.52%, see rank | 3.57% | 2.48% |
3 Rooms | 988, 12.06%, see rank | 9.58% | 9.13% |
4 Rooms | 1,404, 17.14%, see rank | 17.70% | 16.60% |
5 Rooms | 1,375, 16.79%, see rank | 20.22% | 20.41% |
6 Rooms | 1,416, 17.29%, see rank | 17.50% | 18.06% |
7 Rooms | 891, 10.88%, see rank | 11.95% | 12.27% |
8 Rooms | 590, 7.20%, see rank | 7.74% | 8.48% |
9 Rooms or More | 740, 9.04%, see rank | 9.17% | 10.60% |
Median Rooms | 5.20, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 04102 Zip Code | Maine | U.S. |
Total Housing Units | 8,289, 100% | 721,171 | 131,642,457 |
1 Room | 254, 3.06%, see rank | 2.44% | 1.95% |
2 Rooms | 588, 7.09%, see rank | 3.37% | 2.36% |
3 Rooms | 1,271, 15.33%, see rank | 9.42% | 8.97% |
4 Rooms | 1,231, 14.85%, see rank | 17.67% | 16.57% |
5 Rooms | 1,462, 17.64%, see rank | 20.35% | 20.41% |
6 Rooms | 1,372, 16.55%, see rank | 17.62% | 18.25% |
7 Rooms | 834, 10.06%, see rank | 12.14% | 12.38% |
8 Rooms | 537, 6.48%, see rank | 7.89% | 8.59% |
9 Rooms or More | 740, 8.93%, see rank | 9.09% | 10.52% |
Median Rooms | 5.00, see rank | 5.30 | 5.50 |
US Census 2000 data
| 04102 Zip Code | Maine | U.S. |
Total Housing Units | 8,131, 100% | 651,901 | 115,904,641 |
1 Room | 276, 3.39%, see rank | 1.51% | 2.20% |
2 Rooms | 578, 7.11%, see rank | 3.74% | 4.81% |
3 Rooms | 1,161, 14.28%, see rank | 9.08% | 9.84% |
4 Rooms | 1,345, 16.54%, see rank | 18.70% | 15.97% |
5 Rooms | 1,518, 18.67%, see rank | 22.02% | 20.89% |
6 Rooms | 1,222, 15.03%, see rank | 17.87% | 18.45% |
7 Rooms | 863, 10.61%, see rank | 11.99% | 12.06% |
8 Rooms | 578, 7.11%, see rank | 7.69% | 8.06% |
9 Rooms or More | 590, 7.26%, 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.