83687 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 83687 Zip Code | Idaho | U.S. |
Total Housing Units | 10,655, 100% | 675,421 | 132,741,033 |
1 Room | 61, 0.57%, see rank | 1.57% | 1.95% |
2 Rooms | 166, 1.56%, see rank | 2.58% | 2.48% |
3 Rooms | 373, 3.50%, see rank | 7.15% | 9.13% |
4 Rooms | 1,244, 11.68%, see rank | 15.67% | 16.60% |
5 Rooms | 3,131, 29.39%, see rank | 20.19% | 20.41% |
6 Rooms | 2,102, 19.73%, see rank | 16.80% | 18.06% |
7 Rooms | 1,575, 14.78%, see rank | 12.37% | 12.27% |
8 Rooms | 1,041, 9.77%, see rank | 9.30% | 8.48% |
9 Rooms or More | 962, 9.03%, see rank | 14.37% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 83687 Zip Code | Idaho | U.S. |
Total Housing Units | 10,150, 100% | 666,718 | 131,642,457 |
1 Room | 23, 0.23%, see rank | 1.35% | 1.95% |
2 Rooms | 58, 0.57%, see rank | 2.26% | 2.36% |
3 Rooms | 331, 3.26%, see rank | 7.00% | 8.97% |
4 Rooms | 1,404, 13.83%, see rank | 16.06% | 16.57% |
5 Rooms | 3,071, 30.26%, see rank | 20.50% | 20.41% |
6 Rooms | 2,146, 21.14%, see rank | 16.97% | 18.25% |
7 Rooms | 1,354, 13.34%, see rank | 12.59% | 12.38% |
8 Rooms | 931, 9.17%, see rank | 9.33% | 8.59% |
9 Rooms or More | 832, 8.20%, see rank | 13.94% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 83687 Zip Code | Idaho | U.S. |
Total Housing Units | 6,806, 100% | 527,824 | 115,904,641 |
1 Room | 117, 1.72%, see rank | 1.73% | 2.20% |
2 Rooms | 215, 3.16%, see rank | 4.19% | 4.81% |
3 Rooms | 636, 9.34%, see rank | 8.15% | 9.84% |
4 Rooms | 1,069, 15.71%, see rank | 16.38% | 15.97% |
5 Rooms | 1,655, 24.32%, see rank | 20.75% | 20.89% |
6 Rooms | 1,750, 25.71%, see rank | 16.97% | 18.45% |
7 Rooms | 587, 8.62%, see rank | 11.92% | 12.06% |
8 Rooms | 339, 4.98%, see rank | 8.92% | 8.06% |
9 Rooms or More | 438, 6.44%, see rank | 10.99% | 7.70% |
Median Rooms | 5.30, 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.