03884 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03884 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,744, 100% | 617,286 | 132,741,033 |
1 Room | 32, 1.83%, see rank | 1.79% | 1.95% |
2 Rooms | 30, 1.72%, see rank | 2.58% | 2.48% |
3 Rooms | 129, 7.40%, see rank | 8.52% | 9.13% |
4 Rooms | 242, 13.88%, see rank | 17.14% | 16.60% |
5 Rooms | 275, 15.77%, see rank | 19.18% | 20.41% |
6 Rooms | 317, 18.18%, see rank | 17.57% | 18.06% |
7 Rooms | 279, 16.00%, see rank | 12.79% | 12.27% |
8 Rooms | 150, 8.60%, see rank | 9.23% | 8.48% |
9 Rooms or More | 290, 16.63%, see rank | 11.19% | 10.60% |
Median Rooms | 6.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03884 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,689, 100% | 613,995 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.63% | 1.95% |
2 Rooms | 10, 0.59%, see rank | 2.42% | 2.36% |
3 Rooms | 63, 3.73%, see rank | 8.67% | 8.97% |
4 Rooms | 264, 15.63%, see rank | 17.08% | 16.57% |
5 Rooms | 223, 13.20%, see rank | 19.11% | 20.41% |
6 Rooms | 406, 24.04%, see rank | 17.53% | 18.25% |
7 Rooms | 293, 17.35%, see rank | 13.01% | 12.38% |
8 Rooms | 176, 10.42%, see rank | 9.36% | 8.59% |
9 Rooms or More | 254, 15.04%, see rank | 11.18% | 10.52% |
Median Rooms | 6.20, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03884 Zip Code | New Hampshire | U.S. |
Total Housing Units | 981, 100% | 547,024 | 115,904,641 |
1 Room | 5, 0.51%, see rank | 1.09% | 2.20% |
2 Rooms | 29, 2.96%, see rank | 3.24% | 4.81% |
3 Rooms | 78, 7.95%, see rank | 8.59% | 9.84% |
4 Rooms | 147, 14.98%, see rank | 17.56% | 15.97% |
5 Rooms | 163, 16.62%, see rank | 20.06% | 20.89% |
6 Rooms | 248, 25.28%, see rank | 18.57% | 18.45% |
7 Rooms | 167, 17.02%, see rank | 13.17% | 12.06% |
8 Rooms | 86, 8.77%, see rank | 9.18% | 8.06% |
9 Rooms or More | 58, 5.91%, see rank | 8.55% | 7.70% |
Median Rooms | 5.80, 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.