05455 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 05455 Zip Code | Vermont | U.S. |
| Total Housing Units | 398, 100% | 324,332 | 132,741,033 |
| 1 Room | 8, 2.01%, see rank | 2.43% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 3.72% | 2.48% |
| 3 Rooms | 41, 10.30%, see rank | 9.05% | 9.13% |
| 4 Rooms | 17, 4.27%, see rank | 15.06% | 16.60% |
| 5 Rooms | 75, 18.84%, see rank | 18.61% | 20.41% |
| 6 Rooms | 83, 20.85%, see rank | 17.05% | 18.06% |
| 7 Rooms | 66, 16.58%, see rank | 12.98% | 12.27% |
| 8 Rooms | 35, 8.79%, see rank | 9.24% | 8.48% |
| 9 Rooms or More | 73, 18.34%, see rank | 11.85% | 10.60% |
| Median Rooms | 6.20, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| | 05455 Zip Code | Vermont | U.S. |
| Total Housing Units | 426, 100% | 322,243 | 131,642,457 |
| 1 Room | 11, 2.58%, see rank | 2.04% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 3.54% | 2.36% |
| 3 Rooms | 8, 1.88%, see rank | 8.62% | 8.97% |
| 4 Rooms | 41, 9.62%, see rank | 15.04% | 16.57% |
| 5 Rooms | 72, 16.90%, see rank | 18.77% | 20.41% |
| 6 Rooms | 97, 22.77%, see rank | 17.39% | 18.25% |
| 7 Rooms | 56, 13.15%, see rank | 13.30% | 12.38% |
| 8 Rooms | 39, 9.15%, see rank | 9.49% | 8.59% |
| 9 Rooms or More | 102, 23.94%, see rank | 11.82% | 10.52% |
| Median Rooms | 6.30, see rank | 5.60 | 5.50 |
US Census 2000 data
| | 05455 Zip Code | Vermont | U.S. |
| Total Housing Units | 448, 100% | 294,382 | 115,904,641 |
| 1 Room | 6, 1.34%, see rank | 1.35% | 2.20% |
| 2 Rooms | 13, 2.90%, see rank | 3.64% | 4.81% |
| 3 Rooms | 36, 8.04%, see rank | 8.24% | 9.84% |
| 4 Rooms | 35, 7.81%, see rank | 15.61% | 15.97% |
| 5 Rooms | 79, 17.63%, see rank | 20.11% | 20.89% |
| 6 Rooms | 114, 25.45%, see rank | 18.19% | 18.45% |
| 7 Rooms | 68, 15.18%, see rank | 13.48% | 12.06% |
| 8 Rooms | 37, 8.26%, see rank | 9.48% | 8.06% |
| 9 Rooms or More | 60, 13.39%, see rank | 9.91% | 7.70% |
| Median Rooms | 6.00, see rank | 5.60 | 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.
