02874 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02874 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,470, 100% | 462,930 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.17% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.93% | 2.48% |
3 Rooms | 68, 2.75%, see rank | 9.92% | 9.13% |
4 Rooms | 147, 5.95%, see rank | 17.47% | 16.60% |
5 Rooms | 367, 14.86%, see rank | 21.11% | 20.41% |
6 Rooms | 383, 15.51%, see rank | 19.07% | 18.06% |
7 Rooms | 514, 20.81%, see rank | 11.34% | 12.27% |
8 Rooms | 289, 11.70%, see rank | 7.63% | 8.48% |
9 Rooms or More | 702, 28.42%, see rank | 8.35% | 10.60% |
Median Rooms | 7.00, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02874 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,315, 100% | 462,603 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 2.16% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.76% | 2.36% |
3 Rooms | 76, 3.28%, see rank | 9.82% | 8.97% |
4 Rooms | 110, 4.75%, see rank | 17.19% | 16.57% |
5 Rooms | 427, 18.44%, see rank | 21.52% | 20.41% |
6 Rooms | 419, 18.10%, see rank | 18.89% | 18.25% |
7 Rooms | 432, 18.66%, see rank | 11.50% | 12.38% |
8 Rooms | 296, 12.79%, see rank | 7.64% | 8.59% |
9 Rooms or More | 555, 23.97%, see rank | 8.50% | 10.52% |
Median Rooms | 6.80, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02874 Zip Code | Rhode Island | U.S. |
Total Housing Units | 1,914, 100% | 439,837 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.62% | 2.20% |
2 Rooms | 16, 0.84%, see rank | 4.08% | 4.81% |
3 Rooms | 54, 2.82%, see rank | 10.12% | 9.84% |
4 Rooms | 156, 8.15%, see rank | 17.02% | 15.97% |
5 Rooms | 296, 15.46%, see rank | 22.55% | 20.89% |
6 Rooms | 419, 21.89%, see rank | 18.81% | 18.45% |
7 Rooms | 392, 20.48%, see rank | 11.63% | 12.06% |
8 Rooms | 314, 16.41%, see rank | 7.47% | 8.06% |
9 Rooms or More | 267, 13.95%, see rank | 6.70% | 7.70% |
Median Rooms | 6.50, 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.