02916 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 02916 Zip Code | Rhode Island | U.S. |
Total Housing Units | 3,787, 100% | 462,930 | 132,741,033 |
1 Room | 81, 2.14%, see rank | 2.17% | 1.95% |
2 Rooms | 228, 6.02%, see rank | 2.93% | 2.48% |
3 Rooms | 381, 10.06%, see rank | 9.92% | 9.13% |
4 Rooms | 373, 9.85%, see rank | 17.47% | 16.60% |
5 Rooms | 750, 19.80%, see rank | 21.11% | 20.41% |
6 Rooms | 764, 20.17%, see rank | 19.07% | 18.06% |
7 Rooms | 475, 12.54%, see rank | 11.34% | 12.27% |
8 Rooms | 444, 11.72%, see rank | 7.63% | 8.48% |
9 Rooms or More | 291, 7.68%, see rank | 8.35% | 10.60% |
Median Rooms | 5.60, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 02916 Zip Code | Rhode Island | U.S. |
Total Housing Units | 3,807, 100% | 462,603 | 131,642,457 |
1 Room | 56, 1.47%, see rank | 2.16% | 1.95% |
2 Rooms | 197, 5.17%, see rank | 2.76% | 2.36% |
3 Rooms | 439, 11.53%, see rank | 9.82% | 8.97% |
4 Rooms | 390, 10.24%, see rank | 17.19% | 16.57% |
5 Rooms | 859, 22.56%, see rank | 21.52% | 20.41% |
6 Rooms | 708, 18.60%, see rank | 18.89% | 18.25% |
7 Rooms | 497, 13.05%, see rank | 11.50% | 12.38% |
8 Rooms | 399, 10.48%, see rank | 7.64% | 8.59% |
9 Rooms or More | 262, 6.88%, see rank | 8.50% | 10.52% |
Median Rooms | 5.50, see rank | 5.30 | 5.50 |
US Census 2000 data
| 02916 Zip Code | Rhode Island | U.S. |
Total Housing Units | 3,631, 100% | 439,837 | 115,904,641 |
1 Room | 6, 0.17%, see rank | 1.62% | 2.20% |
2 Rooms | 70, 1.93%, see rank | 4.08% | 4.81% |
3 Rooms | 357, 9.83%, see rank | 10.12% | 9.84% |
4 Rooms | 545, 15.01%, see rank | 17.02% | 15.97% |
5 Rooms | 750, 20.66%, see rank | 22.55% | 20.89% |
6 Rooms | 753, 20.74%, see rank | 18.81% | 18.45% |
7 Rooms | 552, 15.20%, see rank | 11.63% | 12.06% |
8 Rooms | 408, 11.24%, see rank | 7.47% | 8.06% |
9 Rooms or More | 190, 5.23%, 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.