02832 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02832 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,196, 100% | 462,930 | 132,741,033 |
1 Room | 54, 2.46%, see rank | 2.17% | 1.95% |
2 Rooms | 139, 6.33%, see rank | 2.93% | 2.48% |
3 Rooms | 227, 10.34%, see rank | 9.92% | 9.13% |
4 Rooms | 218, 9.93%, see rank | 17.47% | 16.60% |
5 Rooms | 289, 13.16%, see rank | 21.11% | 20.41% |
6 Rooms | 615, 28.01%, see rank | 19.07% | 18.06% |
7 Rooms | 286, 13.02%, see rank | 11.34% | 12.27% |
8 Rooms | 151, 6.88%, see rank | 7.63% | 8.48% |
9 Rooms or More | 217, 9.88%, see rank | 8.35% | 10.60% |
Median Rooms | 5.80, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02832 Zip Code | Rhode Island | U.S. |
Total Housing Units | 2,343, 100% | 462,603 | 131,642,457 |
1 Room | 54, 2.30%, see rank | 2.16% | 1.95% |
2 Rooms | 117, 4.99%, see rank | 2.76% | 2.36% |
3 Rooms | 330, 14.08%, see rank | 9.82% | 8.97% |
4 Rooms | 237, 10.12%, see rank | 17.19% | 16.57% |
5 Rooms | 291, 12.42%, see rank | 21.52% | 20.41% |
6 Rooms | 552, 23.56%, see rank | 18.89% | 18.25% |
7 Rooms | 283, 12.08%, see rank | 11.50% | 12.38% |
8 Rooms | 264, 11.27%, see rank | 7.64% | 8.59% |
9 Rooms or More | 215, 9.18%, see rank | 8.50% | 10.52% |
Median Rooms | 5.80, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02832 Zip Code | Rhode Island | U.S. |
Total Housing Units | 1,875, 100% | 439,837 | 115,904,641 |
1 Room | 25, 1.33%, see rank | 1.62% | 2.20% |
2 Rooms | 72, 3.84%, see rank | 4.08% | 4.81% |
3 Rooms | 104, 5.55%, see rank | 10.12% | 9.84% |
4 Rooms | 224, 11.95%, see rank | 17.02% | 15.97% |
5 Rooms | 388, 20.69%, see rank | 22.55% | 20.89% |
6 Rooms | 429, 22.88%, see rank | 18.81% | 18.45% |
7 Rooms | 270, 14.40%, see rank | 11.63% | 12.06% |
8 Rooms | 157, 8.37%, see rank | 7.47% | 8.06% |
9 Rooms or More | 206, 10.99%, see rank | 6.70% | 7.70% |
Median Rooms | 5.80, 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.