58716 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 58716 Zip Code | North Dakota | U.S. |
| Total Housing Units | 57, 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 | 2, 3.51%, see rank | 9.49% | 9.13% |
| 4 Rooms | 11, 19.30%, see rank | 17.11% | 16.60% |
| 5 Rooms | 9, 15.79%, see rank | 17.47% | 20.41% |
| 6 Rooms | 17, 29.82%, see rank | 13.53% | 18.06% |
| 7 Rooms | 11, 19.30%, see rank | 11.31% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 9.75% | 8.48% |
| 9 Rooms or More | 7, 12.28%, see rank | 16.61% | 10.60% |
| Median Rooms | 5.90, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| | 58716 Zip Code | North Dakota | U.S. |
| Total Housing Units | 64, 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 | 8, 12.50%, see rank | 17.63% | 16.57% |
| 5 Rooms | 21, 32.81%, see rank | 17.45% | 20.41% |
| 6 Rooms | 7, 10.94%, see rank | 13.63% | 18.25% |
| 7 Rooms | 6, 9.38%, see rank | 11.37% | 12.38% |
| 8 Rooms | 8, 12.50%, see rank | 9.98% | 8.59% |
| 9 Rooms or More | 14, 21.88%, see rank | 16.62% | 10.52% |
| Median Rooms | 5.90, see rank | 5.60 | 5.50 |
US Census 2000 data
| | 58716 Zip Code | North Dakota | U.S. |
| Total Housing Units | 63, 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 | 10, 15.87%, see rank | 17.12% | 15.97% |
| 5 Rooms | 17, 26.98%, see rank | 19.62% | 20.89% |
| 6 Rooms | 14, 22.22%, see rank | 15.07% | 18.45% |
| 7 Rooms | 11, 17.46%, see rank | 11.35% | 12.06% |
| 8 Rooms | 2, 3.17%, see rank | 9.90% | 8.06% |
| 9 Rooms or More | 9, 14.29%, 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.
