03264 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03264 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,709, 100% | 617,286 | 132,741,033 |
1 Room | 43, 1.59%, see rank | 1.79% | 1.95% |
2 Rooms | 247, 9.12%, see rank | 2.58% | 2.48% |
3 Rooms | 369, 13.62%, see rank | 8.52% | 9.13% |
4 Rooms | 545, 20.12%, see rank | 17.14% | 16.60% |
5 Rooms | 334, 12.33%, see rank | 19.18% | 20.41% |
6 Rooms | 446, 16.46%, see rank | 17.57% | 18.06% |
7 Rooms | 301, 11.11%, see rank | 12.79% | 12.27% |
8 Rooms | 201, 7.42%, see rank | 9.23% | 8.48% |
9 Rooms or More | 223, 8.23%, see rank | 11.19% | 10.60% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03264 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,858, 100% | 613,995 | 131,642,457 |
1 Room | 64, 2.24%, see rank | 1.63% | 1.95% |
2 Rooms | 214, 7.49%, see rank | 2.42% | 2.36% |
3 Rooms | 382, 13.37%, see rank | 8.67% | 8.97% |
4 Rooms | 538, 18.82%, see rank | 17.08% | 16.57% |
5 Rooms | 368, 12.88%, see rank | 19.11% | 20.41% |
6 Rooms | 505, 17.67%, see rank | 17.53% | 18.25% |
7 Rooms | 349, 12.21%, see rank | 13.01% | 12.38% |
8 Rooms | 171, 5.98%, see rank | 9.36% | 8.59% |
9 Rooms or More | 267, 9.34%, see rank | 11.18% | 10.52% |
Median Rooms | 5.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03264 Zip Code | New Hampshire | U.S. |
Total Housing Units | 3,661, 100% | 547,024 | 115,904,641 |
1 Room | 32, 0.87%, see rank | 1.09% | 2.20% |
2 Rooms | 150, 4.10%, see rank | 3.24% | 4.81% |
3 Rooms | 299, 8.17%, see rank | 8.59% | 9.84% |
4 Rooms | 592, 16.17%, see rank | 17.56% | 15.97% |
5 Rooms | 734, 20.05%, see rank | 20.06% | 20.89% |
6 Rooms | 705, 19.26%, see rank | 18.57% | 18.45% |
7 Rooms | 538, 14.70%, see rank | 13.17% | 12.06% |
8 Rooms | 322, 8.80%, see rank | 9.18% | 8.06% |
9 Rooms or More | 289, 7.89%, see rank | 8.55% | 7.70% |
Median Rooms | 5.50, 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.