03836 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 03836 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,740, 100% | 617,286 | 132,741,033 |
1 Room | 32, 1.84%, see rank | 1.79% | 1.95% |
2 Rooms | 60, 3.45%, see rank | 2.58% | 2.48% |
3 Rooms | 229, 13.16%, see rank | 8.52% | 9.13% |
4 Rooms | 364, 20.92%, see rank | 17.14% | 16.60% |
5 Rooms | 419, 24.08%, see rank | 19.18% | 20.41% |
6 Rooms | 335, 19.25%, see rank | 17.57% | 18.06% |
7 Rooms | 130, 7.47%, see rank | 12.79% | 12.27% |
8 Rooms | 69, 3.97%, see rank | 9.23% | 8.48% |
9 Rooms or More | 102, 5.86%, see rank | 11.19% | 10.60% |
Median Rooms | 4.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 03836 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,712, 100% | 613,995 | 131,642,457 |
1 Room | 13, 0.76%, see rank | 1.63% | 1.95% |
2 Rooms | 31, 1.81%, see rank | 2.42% | 2.36% |
3 Rooms | 190, 11.10%, see rank | 8.67% | 8.97% |
4 Rooms | 322, 18.81%, see rank | 17.08% | 16.57% |
5 Rooms | 440, 25.70%, see rank | 19.11% | 20.41% |
6 Rooms | 420, 24.53%, see rank | 17.53% | 18.25% |
7 Rooms | 127, 7.42%, see rank | 13.01% | 12.38% |
8 Rooms | 78, 4.56%, see rank | 9.36% | 8.59% |
9 Rooms or More | 91, 5.32%, see rank | 11.18% | 10.52% |
Median Rooms | 5.20, see rank | 5.60 | 5.50 |
US Census 2000 data
| 03836 Zip Code | New Hampshire | U.S. |
Total Housing Units | 1,406, 100% | 547,024 | 115,904,641 |
1 Room | 9, 0.64%, see rank | 1.09% | 2.20% |
2 Rooms | 7, 0.50%, see rank | 3.24% | 4.81% |
3 Rooms | 84, 5.97%, see rank | 8.59% | 9.84% |
4 Rooms | 324, 23.04%, see rank | 17.56% | 15.97% |
5 Rooms | 322, 22.90%, see rank | 20.06% | 20.89% |
6 Rooms | 232, 16.50%, see rank | 18.57% | 18.45% |
7 Rooms | 158, 11.24%, see rank | 13.17% | 12.06% |
8 Rooms | 148, 10.53%, see rank | 9.18% | 8.06% |
9 Rooms or More | 122, 8.68%, see rank | 8.55% | 7.70% |
Median Rooms | 5.40, 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.