02769 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02769 Zip Code | Massachusetts | U.S. |
Total Housing Units | 4,218, 100% | 2,816,875 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.33% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.02% | 2.48% |
3 Rooms | 62, 1.47%, see rank | 10.03% | 9.13% |
4 Rooms | 349, 8.27%, see rank | 15.77% | 16.60% |
5 Rooms | 790, 18.73%, see rank | 18.26% | 20.41% |
6 Rooms | 898, 21.29%, see rank | 17.63% | 18.06% |
7 Rooms | 858, 20.34%, see rank | 12.23% | 12.27% |
8 Rooms | 489, 11.59%, see rank | 9.28% | 8.48% |
9 Rooms or More | 772, 18.30%, see rank | 11.45% | 10.60% |
Median Rooms | 6.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 02769 Zip Code | Massachusetts | U.S. |
Total Housing Units | 4,196, 100% | 2,804,206 | 131,642,457 |
1 Room | 12, 0.29%, see rank | 2.37% | 1.95% |
2 Rooms | 31, 0.74%, see rank | 2.88% | 2.36% |
3 Rooms | 81, 1.93%, see rank | 9.86% | 8.97% |
4 Rooms | 428, 10.20%, see rank | 15.56% | 16.57% |
5 Rooms | 589, 14.04%, see rank | 18.26% | 20.41% |
6 Rooms | 965, 23.00%, see rank | 17.84% | 18.25% |
7 Rooms | 913, 21.76%, see rank | 12.32% | 12.38% |
8 Rooms | 434, 10.34%, see rank | 9.37% | 8.59% |
9 Rooms or More | 743, 17.71%, see rank | 11.53% | 10.52% |
Median Rooms | 6.50, see rank | 5.60 | 5.50 |
US Census 2000 data
| 02769 Zip Code | Massachusetts | U.S. |
Total Housing Units | 3,578, 100% | 2,621,989 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 2.01% | 2.20% |
2 Rooms | 35, 0.98%, see rank | 4.75% | 4.81% |
3 Rooms | 87, 2.43%, see rank | 9.72% | 9.84% |
4 Rooms | 214, 5.98%, see rank | 14.81% | 15.97% |
5 Rooms | 589, 16.46%, see rank | 19.15% | 20.89% |
6 Rooms | 856, 23.92%, see rank | 18.30% | 18.45% |
7 Rooms | 740, 20.68%, see rank | 12.75% | 12.06% |
8 Rooms | 600, 16.77%, see rank | 9.15% | 8.06% |
9 Rooms or More | 457, 12.77%, see rank | 9.35% | 7.70% |
Median Rooms | 6.50, 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.