59923 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 59923 Zip Code | Montana | U.S. |
Total Housing Units | 5,306, 100% | 486,782 | 132,741,033 |
1 Room | 200, 3.77%, see rank | 2.61% | 1.95% |
2 Rooms | 175, 3.30%, see rank | 3.45% | 2.48% |
3 Rooms | 436, 8.22%, see rank | 8.70% | 9.13% |
4 Rooms | 957, 18.04%, see rank | 17.78% | 16.60% |
5 Rooms | 1,054, 19.86%, see rank | 19.92% | 20.41% |
6 Rooms | 809, 15.25%, see rank | 15.51% | 18.06% |
7 Rooms | 631, 11.89%, see rank | 11.04% | 12.27% |
8 Rooms | 524, 9.88%, see rank | 8.38% | 8.48% |
9 Rooms or More | 520, 9.80%, see rank | 12.61% | 10.60% |
Median Rooms | 5.30, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 59923 Zip Code | Montana | U.S. |
Total Housing Units | 5,397, 100% | 481,401 | 131,642,457 |
1 Room | 234, 4.34%, see rank | 2.41% | 1.95% |
2 Rooms | 44, 0.82%, see rank | 3.22% | 2.36% |
3 Rooms | 563, 10.43%, see rank | 8.53% | 8.97% |
4 Rooms | 977, 18.10%, see rank | 18.03% | 16.57% |
5 Rooms | 1,168, 21.64%, see rank | 20.00% | 20.41% |
6 Rooms | 761, 14.10%, see rank | 15.82% | 18.25% |
7 Rooms | 551, 10.21%, see rank | 11.00% | 12.38% |
8 Rooms | 560, 10.38%, see rank | 8.41% | 8.59% |
9 Rooms or More | 539, 9.99%, see rank | 12.58% | 10.52% |
Median Rooms | 5.30, see rank | 5.40 | 5.50 |
US Census 2000 data
| 59923 Zip Code | Montana | U.S. |
Total Housing Units | 4,875, 100% | 412,633 | 115,904,641 |
1 Room | 89, 1.83%, see rank | 2.29% | 2.20% |
2 Rooms | 287, 5.89%, see rank | 4.73% | 4.81% |
3 Rooms | 400, 8.21%, see rank | 8.81% | 9.84% |
4 Rooms | 786, 16.12%, see rank | 17.84% | 15.97% |
5 Rooms | 1,314, 26.95%, see rank | 21.11% | 20.89% |
6 Rooms | 770, 15.79%, see rank | 15.04% | 18.45% |
7 Rooms | 601, 12.33%, see rank | 11.29% | 12.06% |
8 Rooms | 333, 6.83%, see rank | 8.63% | 8.06% |
9 Rooms or More | 295, 6.05%, see rank | 10.25% | 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.