02905 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02905 Zip Code | Rhode Island | U.S. |
Total Housing Units | 9,528, 100% | 462,930 | 132,741,033 |
1 Room | 218, 2.29%, see rank | 2.17% | 1.95% |
2 Rooms | 235, 2.47%, see rank | 2.93% | 2.48% |
3 Rooms | 868, 9.11%, see rank | 9.92% | 9.13% |
4 Rooms | 1,537, 16.13%, see rank | 17.47% | 16.60% |
5 Rooms | 2,224, 23.34%, see rank | 21.11% | 20.41% |
6 Rooms | 1,874, 19.67%, see rank | 19.07% | 18.06% |
7 Rooms | 1,225, 12.86%, see rank | 11.34% | 12.27% |
8 Rooms | 670, 7.03%, see rank | 7.63% | 8.48% |
9 Rooms or More | 677, 7.11%, see rank | 8.35% | 10.60% |
Median Rooms | 5.40, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02905 Zip Code | Rhode Island | U.S. |
Total Housing Units | 9,636, 100% | 462,603 | 131,642,457 |
1 Room | 225, 2.33%, see rank | 2.16% | 1.95% |
2 Rooms | 217, 2.25%, see rank | 2.76% | 2.36% |
3 Rooms | 802, 8.32%, see rank | 9.82% | 8.97% |
4 Rooms | 1,663, 17.26%, see rank | 17.19% | 16.57% |
5 Rooms | 2,258, 23.43%, see rank | 21.52% | 20.41% |
6 Rooms | 1,856, 19.26%, see rank | 18.89% | 18.25% |
7 Rooms | 1,172, 12.16%, see rank | 11.50% | 12.38% |
8 Rooms | 610, 6.33%, see rank | 7.64% | 8.59% |
9 Rooms or More | 833, 8.64%, see rank | 8.50% | 10.52% |
Median Rooms | 5.30, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02905 Zip Code | Rhode Island | U.S. |
Total Housing Units | 9,203, 100% | 439,837 | 115,904,641 |
1 Room | 107, 1.16%, see rank | 1.62% | 2.20% |
2 Rooms | 519, 5.64%, see rank | 4.08% | 4.81% |
3 Rooms | 872, 9.48%, see rank | 10.12% | 9.84% |
4 Rooms | 1,441, 15.66%, see rank | 17.02% | 15.97% |
5 Rooms | 1,994, 21.67%, see rank | 22.55% | 20.89% |
6 Rooms | 1,764, 19.17%, see rank | 18.81% | 18.45% |
7 Rooms | 992, 10.78%, see rank | 11.63% | 12.06% |
8 Rooms | 712, 7.74%, see rank | 7.47% | 8.06% |
9 Rooms or More | 802, 8.71%, see rank | 6.70% | 7.70% |
Median Rooms | 5.30, 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.