02885 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02885 Zip Code | Rhode Island | U.S. |
Total Housing Units | 4,991, 100% | 462,930 | 132,741,033 |
1 Room | 118, 2.36%, see rank | 2.17% | 1.95% |
2 Rooms | 119, 2.38%, see rank | 2.93% | 2.48% |
3 Rooms | 587, 11.76%, see rank | 9.92% | 9.13% |
4 Rooms | 873, 17.49%, see rank | 17.47% | 16.60% |
5 Rooms | 959, 19.21%, see rank | 21.11% | 20.41% |
6 Rooms | 973, 19.50%, see rank | 19.07% | 18.06% |
7 Rooms | 572, 11.46%, see rank | 11.34% | 12.27% |
8 Rooms | 412, 8.25%, see rank | 7.63% | 8.48% |
9 Rooms or More | 378, 7.57%, see rank | 8.35% | 10.60% |
Median Rooms | 5.30, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02885 Zip Code | Rhode Island | U.S. |
Total Housing Units | 4,997, 100% | 462,603 | 131,642,457 |
1 Room | 166, 3.32%, see rank | 2.16% | 1.95% |
2 Rooms | 119, 2.38%, see rank | 2.76% | 2.36% |
3 Rooms | 560, 11.21%, see rank | 9.82% | 8.97% |
4 Rooms | 764, 15.29%, see rank | 17.19% | 16.57% |
5 Rooms | 994, 19.89%, see rank | 21.52% | 20.41% |
6 Rooms | 995, 19.91%, see rank | 18.89% | 18.25% |
7 Rooms | 551, 11.03%, see rank | 11.50% | 12.38% |
8 Rooms | 460, 9.21%, see rank | 7.64% | 8.59% |
9 Rooms or More | 388, 7.76%, see rank | 8.50% | 10.52% |
Median Rooms | 5.40, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02885 Zip Code | Rhode Island | U.S. |
Total Housing Units | 4,977, 100% | 439,837 | 115,904,641 |
1 Room | 60, 1.21%, see rank | 1.62% | 2.20% |
2 Rooms | 234, 4.70%, see rank | 4.08% | 4.81% |
3 Rooms | 508, 10.21%, see rank | 10.12% | 9.84% |
4 Rooms | 853, 17.14%, see rank | 17.02% | 15.97% |
5 Rooms | 1,074, 21.58%, see rank | 22.55% | 20.89% |
6 Rooms | 973, 19.55%, see rank | 18.81% | 18.45% |
7 Rooms | 633, 12.72%, see rank | 11.63% | 12.06% |
8 Rooms | 357, 7.17%, see rank | 7.47% | 8.06% |
9 Rooms or More | 285, 5.73%, 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.