01095 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 01095 Zip Code | Massachusetts | U.S. |
Total Housing Units | 5,611, 100% | 2,816,875 | 132,741,033 |
1 Room | 36, 0.64%, see rank | 2.33% | 1.95% |
2 Rooms | 112, 2.00%, see rank | 3.02% | 2.48% |
3 Rooms | 254, 4.53%, see rank | 10.03% | 9.13% |
4 Rooms | 326, 5.81%, see rank | 15.77% | 16.60% |
5 Rooms | 751, 13.38%, see rank | 18.26% | 20.41% |
6 Rooms | 1,015, 18.09%, see rank | 17.63% | 18.06% |
7 Rooms | 1,079, 19.23%, see rank | 12.23% | 12.27% |
8 Rooms | 1,118, 19.93%, see rank | 9.28% | 8.48% |
9 Rooms or More | 920, 16.40%, see rank | 11.45% | 10.60% |
Median Rooms | 6.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 01095 Zip Code | Massachusetts | U.S. |
Total Housing Units | 5,608, 100% | 2,804,206 | 131,642,457 |
1 Room | 14, 0.25%, see rank | 2.37% | 1.95% |
2 Rooms | 62, 1.11%, see rank | 2.88% | 2.36% |
3 Rooms | 186, 3.32%, see rank | 9.86% | 8.97% |
4 Rooms | 418, 7.45%, see rank | 15.56% | 16.57% |
5 Rooms | 726, 12.95%, see rank | 18.26% | 20.41% |
6 Rooms | 974, 17.37%, see rank | 17.84% | 18.25% |
7 Rooms | 975, 17.39%, see rank | 12.32% | 12.38% |
8 Rooms | 1,237, 22.06%, see rank | 9.37% | 8.59% |
9 Rooms or More | 1,016, 18.12%, see rank | 11.53% | 10.52% |
Median Rooms | 6.90, see rank | 5.60 | 5.50 |
US Census 2000 data
| 01095 Zip Code | Massachusetts | U.S. |
Total Housing Units | 5,116, 100% | 2,621,989 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.01% | 2.20% |
2 Rooms | 41, 0.80%, see rank | 4.75% | 4.81% |
3 Rooms | 167, 3.26%, see rank | 9.72% | 9.84% |
4 Rooms | 242, 4.73%, see rank | 14.81% | 15.97% |
5 Rooms | 641, 12.53%, see rank | 19.15% | 20.89% |
6 Rooms | 1,121, 21.91%, see rank | 18.30% | 18.45% |
7 Rooms | 959, 18.75%, see rank | 12.75% | 12.06% |
8 Rooms | 1,126, 22.01%, see rank | 9.15% | 8.06% |
9 Rooms or More | 819, 16.01%, see rank | 9.35% | 7.70% |
Median Rooms | 6.90, 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.