01245 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 01245 Zip Code | Massachusetts | U.S. |
Total Housing Units | 777, 100% | 2,816,875 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.33% | 1.95% |
2 Rooms | 8, 1.03%, see rank | 3.02% | 2.48% |
3 Rooms | 16, 2.06%, see rank | 10.03% | 9.13% |
4 Rooms | 136, 17.50%, see rank | 15.77% | 16.60% |
5 Rooms | 146, 18.79%, see rank | 18.26% | 20.41% |
6 Rooms | 198, 25.48%, see rank | 17.63% | 18.06% |
7 Rooms | 126, 16.22%, see rank | 12.23% | 12.27% |
8 Rooms | 61, 7.85%, see rank | 9.28% | 8.48% |
9 Rooms or More | 86, 11.07%, see rank | 11.45% | 10.60% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 01245 Zip Code | Massachusetts | U.S. |
Total Housing Units | 790, 100% | 2,804,206 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 2.37% | 1.95% |
2 Rooms | 12, 1.52%, see rank | 2.88% | 2.36% |
3 Rooms | 28, 3.54%, see rank | 9.86% | 8.97% |
4 Rooms | 145, 18.35%, see rank | 15.56% | 16.57% |
5 Rooms | 174, 22.03%, see rank | 18.26% | 20.41% |
6 Rooms | 135, 17.09%, see rank | 17.84% | 18.25% |
7 Rooms | 152, 19.24%, see rank | 12.32% | 12.38% |
8 Rooms | 67, 8.48%, see rank | 9.37% | 8.59% |
9 Rooms or More | 77, 9.75%, see rank | 11.53% | 10.52% |
Median Rooms | 5.80, see rank | 5.60 | 5.50 |
US Census 2000 data
| 01245 Zip Code | Massachusetts | U.S. |
Total Housing Units | 817, 100% | 2,621,989 | 115,904,641 |
1 Room | 8, 0.98%, see rank | 2.01% | 2.20% |
2 Rooms | 35, 4.28%, see rank | 4.75% | 4.81% |
3 Rooms | 40, 4.90%, see rank | 9.72% | 9.84% |
4 Rooms | 114, 13.95%, see rank | 14.81% | 15.97% |
5 Rooms | 149, 18.24%, see rank | 19.15% | 20.89% |
6 Rooms | 163, 19.95%, see rank | 18.30% | 18.45% |
7 Rooms | 105, 12.85%, see rank | 12.75% | 12.06% |
8 Rooms | 117, 14.32%, see rank | 9.15% | 8.06% |
9 Rooms or More | 86, 10.53%, see rank | 9.35% | 7.70% |
Median Rooms | 5.90, 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.