58623 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58623 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,286, 100% | 332,010 | 132,741,033 |
1 Room | 19, 1.48%, see rank | 1.56% | 1.95% |
2 Rooms | 18, 1.40%, see rank | 3.17% | 2.48% |
3 Rooms | 84, 6.53%, see rank | 9.49% | 9.13% |
4 Rooms | 238, 18.51%, see rank | 17.11% | 16.60% |
5 Rooms | 239, 18.58%, see rank | 17.47% | 20.41% |
6 Rooms | 134, 10.42%, see rank | 13.53% | 18.06% |
7 Rooms | 166, 12.91%, see rank | 11.31% | 12.27% |
8 Rooms | 159, 12.36%, see rank | 9.75% | 8.48% |
9 Rooms or More | 229, 17.81%, see rank | 16.61% | 10.60% |
Median Rooms | 5.80, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58623 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,254, 100% | 319,468 | 131,642,457 |
1 Room | 17, 1.36%, see rank | 1.46% | 1.95% |
2 Rooms | 3, 0.24%, see rank | 2.97% | 2.36% |
3 Rooms | 62, 4.94%, see rank | 8.90% | 8.97% |
4 Rooms | 230, 18.34%, see rank | 17.63% | 16.57% |
5 Rooms | 266, 21.21%, see rank | 17.45% | 20.41% |
6 Rooms | 169, 13.48%, see rank | 13.63% | 18.25% |
7 Rooms | 139, 11.08%, see rank | 11.37% | 12.38% |
8 Rooms | 143, 11.40%, see rank | 9.98% | 8.59% |
9 Rooms or More | 225, 17.94%, see rank | 16.62% | 10.52% |
Median Rooms | 5.80, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58623 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,079, 100% | 289,677 | 115,904,641 |
1 Room | 4, 0.37%, see rank | 1.47% | 2.20% |
2 Rooms | 29, 2.69%, see rank | 4.24% | 4.81% |
3 Rooms | 57, 5.28%, see rank | 8.59% | 9.84% |
4 Rooms | 165, 15.29%, see rank | 17.12% | 15.97% |
5 Rooms | 214, 19.83%, see rank | 19.62% | 20.89% |
6 Rooms | 207, 19.18%, see rank | 15.07% | 18.45% |
7 Rooms | 133, 12.33%, see rank | 11.35% | 12.06% |
8 Rooms | 113, 10.47%, see rank | 9.90% | 8.06% |
9 Rooms or More | 157, 14.55%, 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.