05001 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 05001 Zip Code | Vermont | U.S. |
Total Housing Units | 5,112, 100% | 324,332 | 132,741,033 |
1 Room | 209, 4.09%, see rank | 2.43% | 1.95% |
2 Rooms | 156, 3.05%, see rank | 3.72% | 2.48% |
3 Rooms | 505, 9.88%, see rank | 9.05% | 9.13% |
4 Rooms | 1,281, 25.06%, see rank | 15.06% | 16.60% |
5 Rooms | 968, 18.94%, see rank | 18.61% | 20.41% |
6 Rooms | 710, 13.89%, see rank | 17.05% | 18.06% |
7 Rooms | 761, 14.89%, see rank | 12.98% | 12.27% |
8 Rooms | 269, 5.26%, see rank | 9.24% | 8.48% |
9 Rooms or More | 253, 4.95%, see rank | 11.85% | 10.60% |
Median Rooms | 4.90, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 05001 Zip Code | Vermont | U.S. |
Total Housing Units | 5,352, 100% | 322,243 | 131,642,457 |
1 Room | 229, 4.28%, see rank | 2.04% | 1.95% |
2 Rooms | 150, 2.80%, see rank | 3.54% | 2.36% |
3 Rooms | 419, 7.83%, see rank | 8.62% | 8.97% |
4 Rooms | 1,237, 23.11%, see rank | 15.04% | 16.57% |
5 Rooms | 1,014, 18.95%, see rank | 18.77% | 20.41% |
6 Rooms | 919, 17.17%, see rank | 17.39% | 18.25% |
7 Rooms | 766, 14.31%, see rank | 13.30% | 12.38% |
8 Rooms | 318, 5.94%, see rank | 9.49% | 8.59% |
9 Rooms or More | 300, 5.61%, see rank | 11.82% | 10.52% |
Median Rooms | 5.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 05001 Zip Code | Vermont | U.S. |
Total Housing Units | 4,583, 100% | 294,382 | 115,904,641 |
1 Room | 22, 0.48%, see rank | 1.35% | 2.20% |
2 Rooms | 134, 2.92%, see rank | 3.64% | 4.81% |
3 Rooms | 451, 9.84%, see rank | 8.24% | 9.84% |
4 Rooms | 884, 19.29%, see rank | 15.61% | 15.97% |
5 Rooms | 992, 21.65%, see rank | 20.11% | 20.89% |
6 Rooms | 927, 20.23%, see rank | 18.19% | 18.45% |
7 Rooms | 553, 12.07%, see rank | 13.48% | 12.06% |
8 Rooms | 330, 7.20%, see rank | 9.48% | 8.06% |
9 Rooms or More | 290, 6.33%, see rank | 9.91% | 7.70% |
Median Rooms | 5.30, 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.