02859 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02859 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,644, 100% | 462,930 | 132,741,033 |
1 Room | 22, 0.83%, see rank | 2.17% | 1.95% |
2 Rooms | 51, 1.93%, see rank | 2.93% | 2.48% |
3 Rooms | 100, 3.78%, see rank | 9.92% | 9.13% |
4 Rooms | 531, 20.08%, see rank | 17.47% | 16.60% |
5 Rooms | 622, 23.52%, see rank | 21.11% | 20.41% |
6 Rooms | 455, 17.21%, see rank | 19.07% | 18.06% |
7 Rooms | 391, 14.79%, see rank | 11.34% | 12.27% |
8 Rooms | 264, 9.98%, see rank | 7.63% | 8.48% |
9 Rooms or More | 208, 7.87%, see rank | 8.35% | 10.60% |
Median Rooms | 5.50, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02859 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,544, 100% | 462,603 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 2.16% | 1.95% |
2 Rooms | 32, 1.26%, see rank | 2.76% | 2.36% |
3 Rooms | 236, 9.28%, see rank | 9.82% | 8.97% |
4 Rooms | 415, 16.31%, see rank | 17.19% | 16.57% |
5 Rooms | 591, 23.23%, see rank | 21.52% | 20.41% |
6 Rooms | 477, 18.75%, see rank | 18.89% | 18.25% |
7 Rooms | 275, 10.81%, see rank | 11.50% | 12.38% |
8 Rooms | 288, 11.32%, see rank | 7.64% | 8.59% |
9 Rooms or More | 230, 9.04%, see rank | 8.50% | 10.52% |
Median Rooms | 5.50, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02859 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,565, 100% | 439,837 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.62% | 2.20% |
2 Rooms | 74, 2.88%, see rank | 4.08% | 4.81% |
3 Rooms | 164, 6.39%, see rank | 10.12% | 9.84% |
4 Rooms | 397, 15.48%, see rank | 17.02% | 15.97% |
5 Rooms | 571, 22.26%, see rank | 22.55% | 20.89% |
6 Rooms | 564, 21.99%, see rank | 18.81% | 18.45% |
7 Rooms | 412, 16.06%, see rank | 11.63% | 12.06% |
8 Rooms | 207, 8.07%, see rank | 7.47% | 8.06% |
9 Rooms or More | 176, 6.86%, see rank | 6.70% | 7.70% |
Median Rooms | 5.60, 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.