03215 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03215 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,274, 100% | 617,286 | 132,741,033 |
1 Room | 125, 9.81%, see rank | 1.79% | 1.95% |
2 Rooms | 237, 18.60%, see rank | 2.58% | 2.48% |
3 Rooms | 85, 6.67%, see rank | 8.52% | 9.13% |
4 Rooms | 115, 9.03%, see rank | 17.14% | 16.60% |
5 Rooms | 182, 14.29%, see rank | 19.18% | 20.41% |
6 Rooms | 222, 17.43%, see rank | 17.57% | 18.06% |
7 Rooms | 91, 7.14%, see rank | 12.79% | 12.27% |
8 Rooms | 152, 11.93%, see rank | 9.23% | 8.48% |
9 Rooms or More | 65, 5.10%, see rank | 11.19% | 10.60% |
Median Rooms | 4.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03215 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,268, 100% | 613,995 | 131,642,457 |
1 Room | 96, 7.57%, see rank | 1.63% | 1.95% |
2 Rooms | 223, 17.59%, see rank | 2.42% | 2.36% |
3 Rooms | 111, 8.75%, see rank | 8.67% | 8.97% |
4 Rooms | 164, 12.93%, see rank | 17.08% | 16.57% |
5 Rooms | 103, 8.12%, see rank | 19.11% | 20.41% |
6 Rooms | 260, 20.50%, see rank | 17.53% | 18.25% |
7 Rooms | 104, 8.20%, see rank | 13.01% | 12.38% |
8 Rooms | 135, 10.65%, see rank | 9.36% | 8.59% |
9 Rooms or More | 72, 5.68%, see rank | 11.18% | 10.52% |
Median Rooms | 4.90, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03215 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,109, 100% | 547,024 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.09% | 2.20% |
2 Rooms | 230, 20.74%, see rank | 3.24% | 4.81% |
3 Rooms | 143, 12.89%, see rank | 8.59% | 9.84% |
4 Rooms | 331, 29.85%, see rank | 17.56% | 15.97% |
5 Rooms | 167, 15.06%, see rank | 20.06% | 20.89% |
6 Rooms | 75, 6.76%, see rank | 18.57% | 18.45% |
7 Rooms | 82, 7.39%, see rank | 13.17% | 12.06% |
8 Rooms | 23, 2.07%, see rank | 9.18% | 8.06% |
9 Rooms or More | 58, 5.23%, see rank | 8.55% | 7.70% |
Median Rooms | 4.00, 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.