58545 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58545 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,971, 100% | 332,010 | 132,741,033 |
1 Room | 35, 1.78%, see rank | 1.56% | 1.95% |
2 Rooms | 9, 0.46%, see rank | 3.17% | 2.48% |
3 Rooms | 86, 4.36%, see rank | 9.49% | 9.13% |
4 Rooms | 312, 15.83%, see rank | 17.11% | 16.60% |
5 Rooms | 379, 19.23%, see rank | 17.47% | 20.41% |
6 Rooms | 358, 18.16%, see rank | 13.53% | 18.06% |
7 Rooms | 238, 12.08%, see rank | 11.31% | 12.27% |
8 Rooms | 170, 8.63%, see rank | 9.75% | 8.48% |
9 Rooms or More | 384, 19.48%, see rank | 16.61% | 10.60% |
Median Rooms | 6.00, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58545 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,781, 100% | 319,468 | 131,642,457 |
1 Room | 16, 0.90%, see rank | 1.46% | 1.95% |
2 Rooms | 19, 1.07%, see rank | 2.97% | 2.36% |
3 Rooms | 80, 4.49%, see rank | 8.90% | 8.97% |
4 Rooms | 277, 15.55%, see rank | 17.63% | 16.57% |
5 Rooms | 322, 18.08%, see rank | 17.45% | 20.41% |
6 Rooms | 319, 17.91%, see rank | 13.63% | 18.25% |
7 Rooms | 225, 12.63%, see rank | 11.37% | 12.38% |
8 Rooms | 191, 10.72%, see rank | 9.98% | 8.59% |
9 Rooms or More | 332, 18.64%, see rank | 16.62% | 10.52% |
Median Rooms | 6.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58545 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,839, 100% | 289,677 | 115,904,641 |
1 Room | 4, 0.22%, see rank | 1.47% | 2.20% |
2 Rooms | 41, 2.23%, see rank | 4.24% | 4.81% |
3 Rooms | 94, 5.11%, see rank | 8.59% | 9.84% |
4 Rooms | 283, 15.39%, see rank | 17.12% | 15.97% |
5 Rooms | 364, 19.79%, see rank | 19.62% | 20.89% |
6 Rooms | 286, 15.55%, see rank | 15.07% | 18.45% |
7 Rooms | 248, 13.49%, see rank | 11.35% | 12.06% |
8 Rooms | 219, 11.91%, see rank | 9.90% | 8.06% |
9 Rooms or More | 300, 16.31%, see rank | 12.63% | 7.70% |
Median Rooms | 6.00, 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.