83346 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 83346 Zip Code | Idaho | U.S. |
| Total Housing Units | 607, 100% | 675,421 | 132,741,033 |
| 1 Room | 6, 0.99%, see rank | 1.57% | 1.95% |
| 2 Rooms | 3, 0.49%, see rank | 2.58% | 2.48% |
| 3 Rooms | 23, 3.79%, see rank | 7.15% | 9.13% |
| 4 Rooms | 135, 22.24%, see rank | 15.67% | 16.60% |
| 5 Rooms | 76, 12.52%, see rank | 20.19% | 20.41% |
| 6 Rooms | 175, 28.83%, see rank | 16.80% | 18.06% |
| 7 Rooms | 68, 11.20%, see rank | 12.37% | 12.27% |
| 8 Rooms | 32, 5.27%, see rank | 9.30% | 8.48% |
| 9 Rooms or More | 89, 14.66%, see rank | 14.37% | 10.60% |
| Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| | 83346 Zip Code | Idaho | U.S. |
| Total Housing Units | 640, 100% | 666,718 | 131,642,457 |
| 1 Room | 6, 0.94%, see rank | 1.35% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.26% | 2.36% |
| 3 Rooms | 29, 4.53%, see rank | 7.00% | 8.97% |
| 4 Rooms | 85, 13.28%, see rank | 16.06% | 16.57% |
| 5 Rooms | 96, 15.00%, see rank | 20.50% | 20.41% |
| 6 Rooms | 180, 28.13%, see rank | 16.97% | 18.25% |
| 7 Rooms | 85, 13.28%, see rank | 12.59% | 12.38% |
| 8 Rooms | 29, 4.53%, see rank | 9.33% | 8.59% |
| 9 Rooms or More | 130, 20.31%, see rank | 13.94% | 10.52% |
| Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| | 83346 Zip Code | Idaho | U.S. |
| Total Housing Units | 459, 100% | 527,824 | 115,904,641 |
| 1 Room | 2, 0.44%, see rank | 1.73% | 2.20% |
| 2 Rooms | 28, 6.10%, see rank | 4.19% | 4.81% |
| 3 Rooms | 15, 3.27%, see rank | 8.15% | 9.84% |
| 4 Rooms | 60, 13.07%, see rank | 16.38% | 15.97% |
| 5 Rooms | 91, 19.83%, see rank | 20.75% | 20.89% |
| 6 Rooms | 80, 17.43%, see rank | 16.97% | 18.45% |
| 7 Rooms | 63, 13.73%, see rank | 11.92% | 12.06% |
| 8 Rooms | 47, 10.24%, see rank | 8.92% | 8.06% |
| 9 Rooms or More | 73, 15.90%, see rank | 10.99% | 7.70% |
| Median Rooms | 5.90, see rank | 5.40 | 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.
