03052 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03052 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,916, 100% | 617,286 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.79% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.58% | 2.48% |
3 Rooms | 16, 0.55%, see rank | 8.52% | 9.13% |
4 Rooms | 408, 13.99%, see rank | 17.14% | 16.60% |
5 Rooms | 387, 13.27%, see rank | 19.18% | 20.41% |
6 Rooms | 457, 15.67%, see rank | 17.57% | 18.06% |
7 Rooms | 638, 21.88%, see rank | 12.79% | 12.27% |
8 Rooms | 522, 17.90%, see rank | 9.23% | 8.48% |
9 Rooms or More | 488, 16.74%, see rank | 11.19% | 10.60% |
Median Rooms | 6.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03052 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,806, 100% | 613,995 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.63% | 1.95% |
2 Rooms | 12, 0.43%, see rank | 2.42% | 2.36% |
3 Rooms | 0, 0.00%, see rank | 8.67% | 8.97% |
4 Rooms | 280, 9.98%, see rank | 17.08% | 16.57% |
5 Rooms | 426, 15.18%, see rank | 19.11% | 20.41% |
6 Rooms | 472, 16.82%, see rank | 17.53% | 18.25% |
7 Rooms | 610, 21.74%, see rank | 13.01% | 12.38% |
8 Rooms | 436, 15.54%, see rank | 9.36% | 8.59% |
9 Rooms or More | 570, 20.31%, see rank | 11.18% | 10.52% |
Median Rooms | 6.80, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03052 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,389, 100% | 547,024 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.09% | 2.20% |
2 Rooms | 15, 0.63%, see rank | 3.24% | 4.81% |
3 Rooms | 56, 2.34%, see rank | 8.59% | 9.84% |
4 Rooms | 210, 8.79%, see rank | 17.56% | 15.97% |
5 Rooms | 365, 15.28%, see rank | 20.06% | 20.89% |
6 Rooms | 681, 28.51%, see rank | 18.57% | 18.45% |
7 Rooms | 532, 22.27%, see rank | 13.17% | 12.06% |
8 Rooms | 305, 12.77%, see rank | 9.18% | 8.06% |
9 Rooms or More | 225, 9.42%, see rank | 8.55% | 7.70% |
Median Rooms | 6.30, 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.