58237 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58237 Zip Code | North Dakota | U.S. |
Total Housing Units | 2,518, 100% | 332,010 | 132,741,033 |
1 Room | 18, 0.71%, see rank | 1.56% | 1.95% |
2 Rooms | 38, 1.51%, see rank | 3.17% | 2.48% |
3 Rooms | 173, 6.87%, see rank | 9.49% | 9.13% |
4 Rooms | 572, 22.72%, see rank | 17.11% | 16.60% |
5 Rooms | 381, 15.13%, see rank | 17.47% | 20.41% |
6 Rooms | 448, 17.79%, see rank | 13.53% | 18.06% |
7 Rooms | 283, 11.24%, see rank | 11.31% | 12.27% |
8 Rooms | 303, 12.03%, see rank | 9.75% | 8.48% |
9 Rooms or More | 302, 11.99%, see rank | 16.61% | 10.60% |
Median Rooms | 5.70, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58237 Zip Code | North Dakota | U.S. |
Total Housing Units | 2,468, 100% | 319,468 | 131,642,457 |
1 Room | 7, 0.28%, see rank | 1.46% | 1.95% |
2 Rooms | 31, 1.26%, see rank | 2.97% | 2.36% |
3 Rooms | 116, 4.70%, see rank | 8.90% | 8.97% |
4 Rooms | 509, 20.62%, see rank | 17.63% | 16.57% |
5 Rooms | 474, 19.21%, see rank | 17.45% | 20.41% |
6 Rooms | 390, 15.80%, see rank | 13.63% | 18.25% |
7 Rooms | 305, 12.36%, see rank | 11.37% | 12.38% |
8 Rooms | 303, 12.28%, see rank | 9.98% | 8.59% |
9 Rooms or More | 333, 13.49%, see rank | 16.62% | 10.52% |
Median Rooms | 5.70, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58237 Zip Code | North Dakota | U.S. |
Total Housing Units | 2,579, 100% | 289,677 | 115,904,641 |
1 Room | 21, 0.81%, see rank | 1.47% | 2.20% |
2 Rooms | 93, 3.61%, see rank | 4.24% | 4.81% |
3 Rooms | 186, 7.21%, see rank | 8.59% | 9.84% |
4 Rooms | 446, 17.29%, see rank | 17.12% | 15.97% |
5 Rooms | 525, 20.36%, see rank | 19.62% | 20.89% |
6 Rooms | 424, 16.44%, see rank | 15.07% | 18.45% |
7 Rooms | 320, 12.41%, see rank | 11.35% | 12.06% |
8 Rooms | 201, 7.79%, see rank | 9.90% | 8.06% |
9 Rooms or More | 363, 14.08%, see rank | 12.63% | 7.70% |
Median Rooms | 5.50, 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.