03810 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03810 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,263, 100% | 617,286 | 132,741,033 |
1 Room | 141, 6.23%, see rank | 1.79% | 1.95% |
2 Rooms | 179, 7.91%, see rank | 2.58% | 2.48% |
3 Rooms | 87, 3.84%, see rank | 8.52% | 9.13% |
4 Rooms | 409, 18.07%, see rank | 17.14% | 16.60% |
5 Rooms | 398, 17.59%, see rank | 19.18% | 20.41% |
6 Rooms | 394, 17.41%, see rank | 17.57% | 18.06% |
7 Rooms | 336, 14.85%, see rank | 12.79% | 12.27% |
8 Rooms | 130, 5.74%, see rank | 9.23% | 8.48% |
9 Rooms or More | 189, 8.35%, see rank | 11.19% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03810 Zip Code | New Hampshire | U.S. |
Total Housing Units | 2,394, 100% | 613,995 | 131,642,457 |
1 Room | 141, 5.89%, see rank | 1.63% | 1.95% |
2 Rooms | 141, 5.89%, see rank | 2.42% | 2.36% |
3 Rooms | 95, 3.97%, see rank | 8.67% | 8.97% |
4 Rooms | 412, 17.21%, see rank | 17.08% | 16.57% |
5 Rooms | 583, 24.35%, see rank | 19.11% | 20.41% |
6 Rooms | 337, 14.08%, see rank | 17.53% | 18.25% |
7 Rooms | 432, 18.05%, see rank | 13.01% | 12.38% |
8 Rooms | 150, 6.27%, see rank | 9.36% | 8.59% |
9 Rooms or More | 103, 4.30%, see rank | 11.18% | 10.52% |
Median Rooms | 5.20, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03810 Zip Code | New Hampshire | U.S. |
Total Housing Units | 794, 100% | 547,024 | 115,904,641 |
1 Room | 7, 0.88%, see rank | 1.09% | 2.20% |
2 Rooms | 56, 7.05%, see rank | 3.24% | 4.81% |
3 Rooms | 43, 5.42%, see rank | 8.59% | 9.84% |
4 Rooms | 190, 23.93%, see rank | 17.56% | 15.97% |
5 Rooms | 195, 24.56%, see rank | 20.06% | 20.89% |
6 Rooms | 225, 28.34%, see rank | 18.57% | 18.45% |
7 Rooms | 56, 7.05%, see rank | 13.17% | 12.06% |
8 Rooms | 15, 1.89%, see rank | 9.18% | 8.06% |
9 Rooms or More | 7, 0.88%, see rank | 8.55% | 7.70% |
Median Rooms | 5.00, 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.