58075 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58075 Zip Code | North Dakota | U.S. |
Total Housing Units | 4,272, 100% | 332,010 | 132,741,033 |
1 Room | 45, 1.05%, see rank | 1.56% | 1.95% |
2 Rooms | 149, 3.49%, see rank | 3.17% | 2.48% |
3 Rooms | 196, 4.59%, see rank | 9.49% | 9.13% |
4 Rooms | 858, 20.08%, see rank | 17.11% | 16.60% |
5 Rooms | 724, 16.95%, see rank | 17.47% | 20.41% |
6 Rooms | 512, 11.99%, see rank | 13.53% | 18.06% |
7 Rooms | 631, 14.77%, see rank | 11.31% | 12.27% |
8 Rooms | 434, 10.16%, see rank | 9.75% | 8.48% |
9 Rooms or More | 723, 16.92%, see rank | 16.61% | 10.60% |
Median Rooms | 5.80, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58075 Zip Code | North Dakota | U.S. |
Total Housing Units | 4,147, 100% | 319,468 | 131,642,457 |
1 Room | 6, 0.14%, see rank | 1.46% | 1.95% |
2 Rooms | 127, 3.06%, see rank | 2.97% | 2.36% |
3 Rooms | 151, 3.64%, see rank | 8.90% | 8.97% |
4 Rooms | 1,055, 25.44%, see rank | 17.63% | 16.57% |
5 Rooms | 676, 16.30%, see rank | 17.45% | 20.41% |
6 Rooms | 566, 13.65%, see rank | 13.63% | 18.25% |
7 Rooms | 421, 10.15%, see rank | 11.37% | 12.38% |
8 Rooms | 408, 9.84%, see rank | 9.98% | 8.59% |
9 Rooms or More | 737, 17.77%, see rank | 16.62% | 10.52% |
Median Rooms | 5.60, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58075 Zip Code | North Dakota | U.S. |
Total Housing Units | 4,137, 100% | 289,677 | 115,904,641 |
1 Room | 60, 1.45%, see rank | 1.47% | 2.20% |
2 Rooms | 242, 5.85%, see rank | 4.24% | 4.81% |
3 Rooms | 356, 8.61%, see rank | 8.59% | 9.84% |
4 Rooms | 946, 22.87%, see rank | 17.12% | 15.97% |
5 Rooms | 643, 15.54%, see rank | 19.62% | 20.89% |
6 Rooms | 623, 15.06%, see rank | 15.07% | 18.45% |
7 Rooms | 409, 9.89%, see rank | 11.35% | 12.06% |
8 Rooms | 354, 8.56%, see rank | 9.90% | 8.06% |
9 Rooms or More | 504, 12.18%, see rank | 12.63% | 7.70% |
Median Rooms | 5.20, 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.