58853 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 58853 Zip Code | North Dakota | U.S. |
| Total Housing Units | 183, 100% | 332,010 | 132,741,033 |
| 1 Room | 3, 1.64%, see rank | 1.56% | 1.95% |
| 2 Rooms | 13, 7.10%, see rank | 3.17% | 2.48% |
| 3 Rooms | 11, 6.01%, see rank | 9.49% | 9.13% |
| 4 Rooms | 44, 24.04%, see rank | 17.11% | 16.60% |
| 5 Rooms | 20, 10.93%, see rank | 17.47% | 20.41% |
| 6 Rooms | 51, 27.87%, see rank | 13.53% | 18.06% |
| 7 Rooms | 32, 17.49%, see rank | 11.31% | 12.27% |
| 8 Rooms | 4, 2.19%, see rank | 9.75% | 8.48% |
| 9 Rooms or More | 5, 2.73%, see rank | 16.61% | 10.60% |
| Median Rooms | 5.50, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| | 58853 Zip Code | North Dakota | U.S. |
| Total Housing Units | 112, 100% | 319,468 | 131,642,457 |
| 1 Room | 3, 2.68%, see rank | 1.46% | 1.95% |
| 2 Rooms | 1, 0.89%, see rank | 2.97% | 2.36% |
| 3 Rooms | 12, 10.71%, see rank | 8.90% | 8.97% |
| 4 Rooms | 20, 17.86%, see rank | 17.63% | 16.57% |
| 5 Rooms | 23, 20.54%, see rank | 17.45% | 20.41% |
| 6 Rooms | 33, 29.46%, see rank | 13.63% | 18.25% |
| 7 Rooms | 10, 8.93%, see rank | 11.37% | 12.38% |
| 8 Rooms | 7, 6.25%, see rank | 9.98% | 8.59% |
| 9 Rooms or More | 3, 2.68%, see rank | 16.62% | 10.52% |
| Median Rooms | 5.40, see rank | 5.60 | 5.50 |
US Census 2000 data
| | 58853 Zip Code | North Dakota | U.S. |
| Total Housing Units | 45, 100% | 289,677 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 1.47% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 4.24% | 4.81% |
| 3 Rooms | 0, 0.00%, see rank | 8.59% | 9.84% |
| 4 Rooms | 5, 11.11%, see rank | 17.12% | 15.97% |
| 5 Rooms | 13, 28.89%, see rank | 19.62% | 20.89% |
| 6 Rooms | 17, 37.78%, see rank | 15.07% | 18.45% |
| 7 Rooms | 7, 15.56%, see rank | 11.35% | 12.06% |
| 8 Rooms | 0, 0.00%, see rank | 9.90% | 8.06% |
| 9 Rooms or More | 3, 6.67%, 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.
