02857 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02857 Zip Code | Rhode Island | U.S. |
Total Housing Units | 3,703, 100% | 462,930 | 132,741,033 |
1 Room | 11, 0.30%, see rank | 2.17% | 1.95% |
2 Rooms | 31, 0.84%, see rank | 2.93% | 2.48% |
3 Rooms | 282, 7.62%, see rank | 9.92% | 9.13% |
4 Rooms | 179, 4.83%, see rank | 17.47% | 16.60% |
5 Rooms | 608, 16.42%, see rank | 21.11% | 20.41% |
6 Rooms | 789, 21.31%, see rank | 19.07% | 18.06% |
7 Rooms | 737, 19.90%, see rank | 11.34% | 12.27% |
8 Rooms | 507, 13.69%, see rank | 7.63% | 8.48% |
9 Rooms or More | 559, 15.10%, see rank | 8.35% | 10.60% |
Median Rooms | 6.40, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02857 Zip Code | Rhode Island | U.S. |
Total Housing Units | 3,422, 100% | 462,603 | 131,642,457 |
1 Room | 9, 0.26%, see rank | 2.16% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.76% | 2.36% |
3 Rooms | 234, 6.84%, see rank | 9.82% | 8.97% |
4 Rooms | 159, 4.65%, see rank | 17.19% | 16.57% |
5 Rooms | 547, 15.98%, see rank | 21.52% | 20.41% |
6 Rooms | 703, 20.54%, see rank | 18.89% | 18.25% |
7 Rooms | 595, 17.39%, see rank | 11.50% | 12.38% |
8 Rooms | 466, 13.62%, see rank | 7.64% | 8.59% |
9 Rooms or More | 709, 20.72%, see rank | 8.50% | 10.52% |
Median Rooms | 6.60, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02857 Zip Code | Rhode Island | U.S. |
Total Housing Units | 3,321, 100% | 439,837 | 115,904,641 |
1 Room | 18, 0.54%, see rank | 1.62% | 2.20% |
2 Rooms | 31, 0.93%, see rank | 4.08% | 4.81% |
3 Rooms | 206, 6.20%, see rank | 10.12% | 9.84% |
4 Rooms | 230, 6.93%, see rank | 17.02% | 15.97% |
5 Rooms | 500, 15.06%, see rank | 22.55% | 20.89% |
6 Rooms | 728, 21.92%, see rank | 18.81% | 18.45% |
7 Rooms | 646, 19.45%, see rank | 11.63% | 12.06% |
8 Rooms | 529, 15.93%, see rank | 7.47% | 8.06% |
9 Rooms or More | 433, 13.04%, see rank | 6.70% | 7.70% |
Median Rooms | 6.40, 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.