02807 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02807 Zip Code | Rhode Island | U.S. |
Total Housing Units | 1,834, 100% | 462,930 | 132,741,033 |
1 Room | 22, 1.20%, see rank | 2.17% | 1.95% |
2 Rooms | 87, 4.74%, see rank | 2.93% | 2.48% |
3 Rooms | 150, 8.18%, see rank | 9.92% | 9.13% |
4 Rooms | 282, 15.38%, see rank | 17.47% | 16.60% |
5 Rooms | 331, 18.05%, see rank | 21.11% | 20.41% |
6 Rooms | 277, 15.10%, see rank | 19.07% | 18.06% |
7 Rooms | 229, 12.49%, see rank | 11.34% | 12.27% |
8 Rooms | 263, 14.34%, see rank | 7.63% | 8.48% |
9 Rooms or More | 193, 10.52%, see rank | 8.35% | 10.60% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02807 Zip Code | Rhode Island | U.S. |
Total Housing Units | 1,757, 100% | 462,603 | 131,642,457 |
1 Room | 53, 3.02%, see rank | 2.16% | 1.95% |
2 Rooms | 39, 2.22%, see rank | 2.76% | 2.36% |
3 Rooms | 102, 5.81%, see rank | 9.82% | 8.97% |
4 Rooms | 242, 13.77%, see rank | 17.19% | 16.57% |
5 Rooms | 303, 17.25%, see rank | 21.52% | 20.41% |
6 Rooms | 303, 17.25%, see rank | 18.89% | 18.25% |
7 Rooms | 268, 15.25%, see rank | 11.50% | 12.38% |
8 Rooms | 268, 15.25%, see rank | 7.64% | 8.59% |
9 Rooms or More | 179, 10.19%, see rank | 8.50% | 10.52% |
Median Rooms | 6.00, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02807 Zip Code | Rhode Island | U.S. |
Total Housing Units | 1,606, 100% | 439,837 | 115,904,641 |
1 Room | 19, 1.18%, see rank | 1.62% | 2.20% |
2 Rooms | 113, 7.04%, see rank | 4.08% | 4.81% |
3 Rooms | 166, 10.34%, see rank | 10.12% | 9.84% |
4 Rooms | 253, 15.75%, see rank | 17.02% | 15.97% |
5 Rooms | 264, 16.44%, see rank | 22.55% | 20.89% |
6 Rooms | 267, 16.63%, see rank | 18.81% | 18.45% |
7 Rooms | 232, 14.45%, see rank | 11.63% | 12.06% |
8 Rooms | 194, 12.08%, see rank | 7.47% | 8.06% |
9 Rooms or More | 98, 6.10%, see rank | 6.70% | 7.70% |
Median Rooms | 5.50, see rank | 5.30 | 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.