05468 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 05468 Zip Code | Vermont | U.S. |
Total Housing Units | 5,310, 100% | 324,332 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.43% | 1.95% |
2 Rooms | 86, 1.62%, see rank | 3.72% | 2.48% |
3 Rooms | 291, 5.48%, see rank | 9.05% | 9.13% |
4 Rooms | 509, 9.59%, see rank | 15.06% | 16.60% |
5 Rooms | 1,126, 21.21%, see rank | 18.61% | 20.41% |
6 Rooms | 1,288, 24.26%, see rank | 17.05% | 18.06% |
7 Rooms | 729, 13.73%, see rank | 12.98% | 12.27% |
8 Rooms | 634, 11.94%, see rank | 9.24% | 8.48% |
9 Rooms or More | 647, 12.18%, see rank | 11.85% | 10.60% |
Median Rooms | 6.00, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 05468 Zip Code | Vermont | U.S. |
Total Housing Units | 5,138, 100% | 322,243 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 2.04% | 1.95% |
2 Rooms | 116, 2.26%, see rank | 3.54% | 2.36% |
3 Rooms | 155, 3.02%, see rank | 8.62% | 8.97% |
4 Rooms | 506, 9.85%, see rank | 15.04% | 16.57% |
5 Rooms | 1,001, 19.48%, see rank | 18.77% | 20.41% |
6 Rooms | 1,227, 23.88%, see rank | 17.39% | 18.25% |
7 Rooms | 772, 15.03%, see rank | 13.30% | 12.38% |
8 Rooms | 671, 13.06%, see rank | 9.49% | 8.59% |
9 Rooms or More | 690, 13.43%, see rank | 11.82% | 10.52% |
Median Rooms | 6.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 05468 Zip Code | Vermont | U.S. |
Total Housing Units | 4,128, 100% | 294,382 | 115,904,641 |
1 Room | 7, 0.17%, see rank | 1.35% | 2.20% |
2 Rooms | 20, 0.48%, see rank | 3.64% | 4.81% |
3 Rooms | 167, 4.05%, see rank | 8.24% | 9.84% |
4 Rooms | 484, 11.72%, see rank | 15.61% | 15.97% |
5 Rooms | 1,051, 25.46%, see rank | 20.11% | 20.89% |
6 Rooms | 874, 21.17%, see rank | 18.19% | 18.45% |
7 Rooms | 806, 19.53%, see rank | 13.48% | 12.06% |
8 Rooms | 417, 10.10%, see rank | 9.48% | 8.06% |
9 Rooms or More | 302, 7.32%, see rank | 9.91% | 7.70% |
Median Rooms | 5.90, 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.