02865 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02865 Zip Code | Rhode Island | U.S. |
Total Housing Units | 6,856, 100% | 462,930 | 132,741,033 |
1 Room | 114, 1.66%, see rank | 2.17% | 1.95% |
2 Rooms | 146, 2.13%, see rank | 2.93% | 2.48% |
3 Rooms | 577, 8.42%, see rank | 9.92% | 9.13% |
4 Rooms | 892, 13.01%, see rank | 17.47% | 16.60% |
5 Rooms | 1,111, 16.20%, see rank | 21.11% | 20.41% |
6 Rooms | 1,369, 19.97%, see rank | 19.07% | 18.06% |
7 Rooms | 1,025, 14.95%, see rank | 11.34% | 12.27% |
8 Rooms | 676, 9.86%, see rank | 7.63% | 8.48% |
9 Rooms or More | 946, 13.80%, see rank | 8.35% | 10.60% |
Median Rooms | 5.90, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02865 Zip Code | Rhode Island | U.S. |
Total Housing Units | 7,008, 100% | 462,603 | 131,642,457 |
1 Room | 90, 1.28%, see rank | 2.16% | 1.95% |
2 Rooms | 184, 2.63%, see rank | 2.76% | 2.36% |
3 Rooms | 584, 8.33%, see rank | 9.82% | 8.97% |
4 Rooms | 940, 13.41%, see rank | 17.19% | 16.57% |
5 Rooms | 1,052, 15.01%, see rank | 21.52% | 20.41% |
6 Rooms | 1,436, 20.49%, see rank | 18.89% | 18.25% |
7 Rooms | 891, 12.71%, see rank | 11.50% | 12.38% |
8 Rooms | 764, 10.90%, see rank | 7.64% | 8.59% |
9 Rooms or More | 1,067, 15.23%, see rank | 8.50% | 10.52% |
Median Rooms | 6.00, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02865 Zip Code | Rhode Island | U.S. |
Total Housing Units | 7,027, 100% | 439,837 | 115,904,641 |
1 Room | 61, 0.87%, see rank | 1.62% | 2.20% |
2 Rooms | 183, 2.60%, see rank | 4.08% | 4.81% |
3 Rooms | 582, 8.28%, see rank | 10.12% | 9.84% |
4 Rooms | 1,044, 14.86%, see rank | 17.02% | 15.97% |
5 Rooms | 1,266, 18.02%, see rank | 22.55% | 20.89% |
6 Rooms | 1,311, 18.66%, see rank | 18.81% | 18.45% |
7 Rooms | 1,011, 14.39%, see rank | 11.63% | 12.06% |
8 Rooms | 783, 11.14%, see rank | 7.47% | 8.06% |
9 Rooms or More | 786, 11.19%, see rank | 6.70% | 7.70% |
Median Rooms | 5.80, 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.