97862 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 97862 Zip Code | Oregon | U.S. |
Total Housing Units | 4,814, 100% | 1,685,814 | 132,741,033 |
1 Room | 78, 1.62%, see rank | 2.21% | 1.95% |
2 Rooms | 120, 2.49%, see rank | 3.46% | 2.48% |
3 Rooms | 417, 8.66%, see rank | 8.58% | 9.13% |
4 Rooms | 1,077, 22.37%, see rank | 17.74% | 16.60% |
5 Rooms | 968, 20.11%, see rank | 20.85% | 20.41% |
6 Rooms | 813, 16.89%, see rank | 17.61% | 18.06% |
7 Rooms | 675, 14.02%, see rank | 11.97% | 12.27% |
8 Rooms | 205, 4.26%, see rank | 7.73% | 8.48% |
9 Rooms or More | 461, 9.58%, see rank | 9.85% | 10.60% |
Median Rooms | 5.20, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 97862 Zip Code | Oregon | U.S. |
Total Housing Units | 4,933, 100% | 1,673,593 | 131,642,457 |
1 Room | 113, 2.29%, see rank | 2.14% | 1.95% |
2 Rooms | 67, 1.36%, see rank | 3.32% | 2.36% |
3 Rooms | 570, 11.55%, see rank | 8.25% | 8.97% |
4 Rooms | 1,192, 24.16%, see rank | 17.68% | 16.57% |
5 Rooms | 865, 17.53%, see rank | 20.66% | 20.41% |
6 Rooms | 842, 17.07%, see rank | 18.13% | 18.25% |
7 Rooms | 569, 11.53%, see rank | 12.17% | 12.38% |
8 Rooms | 289, 5.86%, see rank | 7.93% | 8.59% |
9 Rooms or More | 426, 8.64%, see rank | 9.72% | 10.52% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
US Census 2000 data
| 97862 Zip Code | Oregon | U.S. |
Total Housing Units | 4,447, 100% | 1,452,709 | 115,904,641 |
1 Room | 55, 1.24%, see rank | 2.64% | 2.20% |
2 Rooms | 156, 3.51%, see rank | 5.34% | 4.81% |
3 Rooms | 349, 7.85%, see rank | 9.12% | 9.84% |
4 Rooms | 1,020, 22.94%, see rank | 16.71% | 15.97% |
5 Rooms | 968, 21.77%, see rank | 20.06% | 20.89% |
6 Rooms | 827, 18.60%, see rank | 18.45% | 18.45% |
7 Rooms | 379, 8.52%, see rank | 12.46% | 12.06% |
8 Rooms | 283, 6.36%, see rank | 7.62% | 8.06% |
9 Rooms or More | 410, 9.22%, see rank | 7.60% | 7.70% |
Median Rooms | 5.20, 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.