58382 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 58382 Zip Code | North Dakota | U.S. |
| Total Housing Units | 102, 100% | 332,010 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.56% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 3.17% | 2.48% |
| 3 Rooms | 0, 0.00%, see rank | 9.49% | 9.13% |
| 4 Rooms | 23, 22.55%, see rank | 17.11% | 16.60% |
| 5 Rooms | 8, 7.84%, see rank | 17.47% | 20.41% |
| 6 Rooms | 19, 18.63%, see rank | 13.53% | 18.06% |
| 7 Rooms | 5, 4.90%, see rank | 11.31% | 12.27% |
| 8 Rooms | 4, 3.92%, see rank | 9.75% | 8.48% |
| 9 Rooms or More | 43, 42.16%, see rank | 16.61% | 10.60% |
| Median Rooms | 6.70, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| | 58382 Zip Code | North Dakota | U.S. |
| Total Housing Units | 109, 100% | 319,468 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.46% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.97% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 8.90% | 8.97% |
| 4 Rooms | 21, 19.27%, see rank | 17.63% | 16.57% |
| 5 Rooms | 15, 13.76%, see rank | 17.45% | 20.41% |
| 6 Rooms | 20, 18.35%, see rank | 13.63% | 18.25% |
| 7 Rooms | 2, 1.83%, see rank | 11.37% | 12.38% |
| 8 Rooms | 16, 14.68%, see rank | 9.98% | 8.59% |
| 9 Rooms or More | 35, 32.11%, see rank | 16.62% | 10.52% |
| Median Rooms | 6.40, see rank | 5.60 | 5.50 |
US Census 2000 data
| | 58382 Zip Code | North Dakota | U.S. |
| Total Housing Units | 103, 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 | 3, 2.91%, see rank | 8.59% | 9.84% |
| 4 Rooms | 4, 3.88%, see rank | 17.12% | 15.97% |
| 5 Rooms | 7, 6.80%, see rank | 19.62% | 20.89% |
| 6 Rooms | 20, 19.42%, see rank | 15.07% | 18.45% |
| 7 Rooms | 25, 24.27%, see rank | 11.35% | 12.06% |
| 8 Rooms | 23, 22.33%, see rank | 9.90% | 8.06% |
| 9 Rooms or More | 21, 20.39%, see rank | 12.63% | 7.70% |
| Median Rooms | 7.20, 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.
