58523 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58523 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,876, 100% | 332,010 | 132,741,033 |
1 Room | 9, 0.48%, see rank | 1.56% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.17% | 2.48% |
3 Rooms | 200, 10.66%, see rank | 9.49% | 9.13% |
4 Rooms | 198, 10.55%, see rank | 17.11% | 16.60% |
5 Rooms | 535, 28.52%, see rank | 17.47% | 20.41% |
6 Rooms | 176, 9.38%, see rank | 13.53% | 18.06% |
7 Rooms | 185, 9.86%, see rank | 11.31% | 12.27% |
8 Rooms | 240, 12.79%, see rank | 9.75% | 8.48% |
9 Rooms or More | 333, 17.75%, see rank | 16.61% | 10.60% |
Median Rooms | 5.50, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58523 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,917, 100% | 319,468 | 131,642,457 |
1 Room | 32, 1.67%, see rank | 1.46% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.97% | 2.36% |
3 Rooms | 185, 9.65%, see rank | 8.90% | 8.97% |
4 Rooms | 205, 10.69%, see rank | 17.63% | 16.57% |
5 Rooms | 432, 22.54%, see rank | 17.45% | 20.41% |
6 Rooms | 180, 9.39%, see rank | 13.63% | 18.25% |
7 Rooms | 239, 12.47%, see rank | 11.37% | 12.38% |
8 Rooms | 274, 14.29%, see rank | 9.98% | 8.59% |
9 Rooms or More | 370, 19.30%, see rank | 16.62% | 10.52% |
Median Rooms | 6.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58523 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,913, 100% | 289,677 | 115,904,641 |
1 Room | 72, 3.76%, see rank | 1.47% | 2.20% |
2 Rooms | 19, 0.99%, see rank | 4.24% | 4.81% |
3 Rooms | 50, 2.61%, see rank | 8.59% | 9.84% |
4 Rooms | 434, 22.69%, see rank | 17.12% | 15.97% |
5 Rooms | 305, 15.94%, see rank | 19.62% | 20.89% |
6 Rooms | 236, 12.34%, see rank | 15.07% | 18.45% |
7 Rooms | 233, 12.18%, see rank | 11.35% | 12.06% |
8 Rooms | 204, 10.66%, see rank | 9.90% | 8.06% |
9 Rooms or More | 360, 18.82%, see rank | 12.63% | 7.70% |
Median Rooms | 5.80, 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.