01103 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 01103 Zip Code | Massachusetts | U.S. |
Total Housing Units | 1,728, 100% | 2,816,875 | 132,741,033 |
1 Room | 172, 9.95%, see rank | 2.33% | 1.95% |
2 Rooms | 191, 11.05%, see rank | 3.02% | 2.48% |
3 Rooms | 712, 41.20%, see rank | 10.03% | 9.13% |
4 Rooms | 506, 29.28%, see rank | 15.77% | 16.60% |
5 Rooms | 117, 6.77%, see rank | 18.26% | 20.41% |
6 Rooms | 17, 0.98%, see rank | 17.63% | 18.06% |
7 Rooms | 0, 0.00%, see rank | 12.23% | 12.27% |
8 Rooms | 0, 0.00%, see rank | 9.28% | 8.48% |
9 Rooms or More | 13, 0.75%, see rank | 11.45% | 10.60% |
Median Rooms | 3.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 01103 Zip Code | Massachusetts | U.S. |
Total Housing Units | 1,675, 100% | 2,804,206 | 131,642,457 |
1 Room | 196, 11.70%, see rank | 2.37% | 1.95% |
2 Rooms | 185, 11.04%, see rank | 2.88% | 2.36% |
3 Rooms | 677, 40.42%, see rank | 9.86% | 8.97% |
4 Rooms | 475, 28.36%, see rank | 15.56% | 16.57% |
5 Rooms | 109, 6.51%, see rank | 18.26% | 20.41% |
6 Rooms | 18, 1.07%, see rank | 17.84% | 18.25% |
7 Rooms | 0, 0.00%, see rank | 12.32% | 12.38% |
8 Rooms | 0, 0.00%, see rank | 9.37% | 8.59% |
9 Rooms or More | 15, 0.90%, see rank | 11.53% | 10.52% |
Median Rooms | 3.20, see rank | 5.60 | 5.50 |
US Census 2000 data
| 01103 Zip Code | Massachusetts | U.S. |
Total Housing Units | 1,813, 100% | 2,621,989 | 115,904,641 |
1 Room | 324, 17.87%, see rank | 2.01% | 2.20% |
2 Rooms | 331, 18.26%, see rank | 4.75% | 4.81% |
3 Rooms | 638, 35.19%, see rank | 9.72% | 9.84% |
4 Rooms | 377, 20.79%, see rank | 14.81% | 15.97% |
5 Rooms | 104, 5.74%, see rank | 19.15% | 20.89% |
6 Rooms | 24, 1.32%, see rank | 18.30% | 18.45% |
7 Rooms | 0, 0.00%, see rank | 12.75% | 12.06% |
8 Rooms | 7, 0.39%, see rank | 9.15% | 8.06% |
9 Rooms or More | 8, 0.44%, see rank | 9.35% | 7.70% |
Median Rooms | 2.90, see rank | 5.50 | 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.