58072 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58072 Zip Code | North Dakota | U.S. |
Total Housing Units | 3,944, 100% | 332,010 | 132,741,033 |
1 Room | 103, 2.61%, see rank | 1.56% | 1.95% |
2 Rooms | 156, 3.96%, see rank | 3.17% | 2.48% |
3 Rooms | 373, 9.46%, see rank | 9.49% | 9.13% |
4 Rooms | 562, 14.25%, see rank | 17.11% | 16.60% |
5 Rooms | 736, 18.66%, see rank | 17.47% | 20.41% |
6 Rooms | 521, 13.21%, see rank | 13.53% | 18.06% |
7 Rooms | 325, 8.24%, see rank | 11.31% | 12.27% |
8 Rooms | 508, 12.88%, see rank | 9.75% | 8.48% |
9 Rooms or More | 660, 16.73%, see rank | 16.61% | 10.60% |
Median Rooms | 5.60, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58072 Zip Code | North Dakota | U.S. |
Total Housing Units | 3,940, 100% | 319,468 | 131,642,457 |
1 Room | 72, 1.83%, see rank | 1.46% | 1.95% |
2 Rooms | 163, 4.14%, see rank | 2.97% | 2.36% |
3 Rooms | 384, 9.75%, see rank | 8.90% | 8.97% |
4 Rooms | 707, 17.94%, see rank | 17.63% | 16.57% |
5 Rooms | 708, 17.97%, see rank | 17.45% | 20.41% |
6 Rooms | 491, 12.46%, see rank | 13.63% | 18.25% |
7 Rooms | 291, 7.39%, see rank | 11.37% | 12.38% |
8 Rooms | 390, 9.90%, see rank | 9.98% | 8.59% |
9 Rooms or More | 734, 18.63%, see rank | 16.62% | 10.52% |
Median Rooms | 5.40, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58072 Zip Code | North Dakota | U.S. |
Total Housing Units | 3,895, 100% | 289,677 | 115,904,641 |
1 Room | 41, 1.05%, see rank | 1.47% | 2.20% |
2 Rooms | 101, 2.59%, see rank | 4.24% | 4.81% |
3 Rooms | 413, 10.60%, see rank | 8.59% | 9.84% |
4 Rooms | 680, 17.46%, see rank | 17.12% | 15.97% |
5 Rooms | 816, 20.95%, see rank | 19.62% | 20.89% |
6 Rooms | 475, 12.20%, see rank | 15.07% | 18.45% |
7 Rooms | 401, 10.30%, see rank | 11.35% | 12.06% |
8 Rooms | 421, 10.81%, see rank | 9.90% | 8.06% |
9 Rooms or More | 547, 14.04%, see rank | 12.63% | 7.70% |
Median Rooms | 5.40, 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.