02888 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02888 Zip Code | Rhode Island | U.S. |
Total Housing Units | 8,972, 100% | 462,930 | 132,741,033 |
1 Room | 358, 3.99%, see rank | 2.17% | 1.95% |
2 Rooms | 174, 1.94%, see rank | 2.93% | 2.48% |
3 Rooms | 693, 7.72%, see rank | 9.92% | 9.13% |
4 Rooms | 1,269, 14.14%, see rank | 17.47% | 16.60% |
5 Rooms | 1,872, 20.86%, see rank | 21.11% | 20.41% |
6 Rooms | 2,379, 26.52%, see rank | 19.07% | 18.06% |
7 Rooms | 1,072, 11.95%, see rank | 11.34% | 12.27% |
8 Rooms | 618, 6.89%, see rank | 7.63% | 8.48% |
9 Rooms or More | 537, 5.99%, see rank | 8.35% | 10.60% |
Median Rooms | 5.60, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02888 Zip Code | Rhode Island | U.S. |
Total Housing Units | 8,878, 100% | 462,603 | 131,642,457 |
1 Room | 318, 3.58%, see rank | 2.16% | 1.95% |
2 Rooms | 202, 2.28%, see rank | 2.76% | 2.36% |
3 Rooms | 792, 8.92%, see rank | 9.82% | 8.97% |
4 Rooms | 1,108, 12.48%, see rank | 17.19% | 16.57% |
5 Rooms | 1,642, 18.50%, see rank | 21.52% | 20.41% |
6 Rooms | 2,285, 25.74%, see rank | 18.89% | 18.25% |
7 Rooms | 1,250, 14.08%, see rank | 11.50% | 12.38% |
8 Rooms | 681, 7.67%, see rank | 7.64% | 8.59% |
9 Rooms or More | 600, 6.76%, see rank | 8.50% | 10.52% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02888 Zip Code | Rhode Island | U.S. |
Total Housing Units | 8,905, 100% | 439,837 | 115,904,641 |
1 Room | 165, 1.85%, see rank | 1.62% | 2.20% |
2 Rooms | 278, 3.12%, see rank | 4.08% | 4.81% |
3 Rooms | 747, 8.39%, see rank | 10.12% | 9.84% |
4 Rooms | 1,213, 13.62%, see rank | 17.02% | 15.97% |
5 Rooms | 2,042, 22.93%, see rank | 22.55% | 20.89% |
6 Rooms | 2,316, 26.01%, see rank | 18.81% | 18.45% |
7 Rooms | 1,285, 14.43%, see rank | 11.63% | 12.06% |
8 Rooms | 532, 5.97%, see rank | 7.47% | 8.06% |
9 Rooms or More | 327, 3.67%, 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.