83344 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 83344 Zip Code | Idaho | U.S. |
| Total Housing Units | 406, 100% | 675,421 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.57% | 1.95% |
| 2 Rooms | 6, 1.48%, see rank | 2.58% | 2.48% |
| 3 Rooms | 19, 4.68%, see rank | 7.15% | 9.13% |
| 4 Rooms | 62, 15.27%, see rank | 15.67% | 16.60% |
| 5 Rooms | 125, 30.79%, see rank | 20.19% | 20.41% |
| 6 Rooms | 50, 12.32%, see rank | 16.80% | 18.06% |
| 7 Rooms | 33, 8.13%, see rank | 12.37% | 12.27% |
| 8 Rooms | 43, 10.59%, see rank | 9.30% | 8.48% |
| 9 Rooms or More | 68, 16.75%, see rank | 14.37% | 10.60% |
| Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| | 83344 Zip Code | Idaho | U.S. |
| Total Housing Units | 334, 100% | 666,718 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.35% | 1.95% |
| 2 Rooms | 5, 1.50%, see rank | 2.26% | 2.36% |
| 3 Rooms | 10, 2.99%, see rank | 7.00% | 8.97% |
| 4 Rooms | 74, 22.16%, see rank | 16.06% | 16.57% |
| 5 Rooms | 90, 26.95%, see rank | 20.50% | 20.41% |
| 6 Rooms | 41, 12.28%, see rank | 16.97% | 18.25% |
| 7 Rooms | 43, 12.87%, see rank | 12.59% | 12.38% |
| 8 Rooms | 34, 10.18%, see rank | 9.33% | 8.59% |
| 9 Rooms or More | 37, 11.08%, see rank | 13.94% | 10.52% |
| Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| | 83344 Zip Code | Idaho | U.S. |
| Total Housing Units | 426, 100% | 527,824 | 115,904,641 |
| 1 Room | 2, 0.47%, see rank | 1.73% | 2.20% |
| 2 Rooms | 14, 3.29%, see rank | 4.19% | 4.81% |
| 3 Rooms | 10, 2.35%, see rank | 8.15% | 9.84% |
| 4 Rooms | 87, 20.42%, see rank | 16.38% | 15.97% |
| 5 Rooms | 100, 23.47%, see rank | 20.75% | 20.89% |
| 6 Rooms | 79, 18.54%, see rank | 16.97% | 18.45% |
| 7 Rooms | 45, 10.56%, see rank | 11.92% | 12.06% |
| 8 Rooms | 45, 10.56%, see rank | 8.92% | 8.06% |
| 9 Rooms or More | 44, 10.33%, see rank | 10.99% | 7.70% |
| Median Rooms | 5.50, 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.
