03869 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03869 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,087, 100% | 617,286 | 132,741,033 |
1 Room | 22, 2.02%, see rank | 1.79% | 1.95% |
2 Rooms | 35, 3.22%, see rank | 2.58% | 2.48% |
3 Rooms | 71, 6.53%, see rank | 8.52% | 9.13% |
4 Rooms | 166, 15.27%, see rank | 17.14% | 16.60% |
5 Rooms | 209, 19.23%, see rank | 19.18% | 20.41% |
6 Rooms | 150, 13.80%, see rank | 17.57% | 18.06% |
7 Rooms | 182, 16.74%, see rank | 12.79% | 12.27% |
8 Rooms | 91, 8.37%, see rank | 9.23% | 8.48% |
9 Rooms or More | 161, 14.81%, see rank | 11.19% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03869 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,065, 100% | 613,995 | 131,642,457 |
1 Room | 12, 1.13%, see rank | 1.63% | 1.95% |
2 Rooms | 40, 3.76%, see rank | 2.42% | 2.36% |
3 Rooms | 61, 5.73%, see rank | 8.67% | 8.97% |
4 Rooms | 166, 15.59%, see rank | 17.08% | 16.57% |
5 Rooms | 168, 15.77%, see rank | 19.11% | 20.41% |
6 Rooms | 144, 13.52%, see rank | 17.53% | 18.25% |
7 Rooms | 200, 18.78%, see rank | 13.01% | 12.38% |
8 Rooms | 110, 10.33%, see rank | 9.36% | 8.59% |
9 Rooms or More | 164, 15.40%, see rank | 11.18% | 10.52% |
Median Rooms | 6.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03869 Zip Code | New Hampshire | U.S. |
Total Housing Units | 969, 100% | 547,024 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.09% | 2.20% |
2 Rooms | 18, 1.86%, see rank | 3.24% | 4.81% |
3 Rooms | 98, 10.11%, see rank | 8.59% | 9.84% |
4 Rooms | 145, 14.96%, see rank | 17.56% | 15.97% |
5 Rooms | 160, 16.51%, see rank | 20.06% | 20.89% |
6 Rooms | 204, 21.05%, see rank | 18.57% | 18.45% |
7 Rooms | 171, 17.65%, see rank | 13.17% | 12.06% |
8 Rooms | 82, 8.46%, see rank | 9.18% | 8.06% |
9 Rooms or More | 91, 9.39%, 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.