58356 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58356 Zip Code | North Dakota | U.S. |
Total Housing Units | 968, 100% | 332,010 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.56% | 1.95% |
2 Rooms | 5, 0.52%, see rank | 3.17% | 2.48% |
3 Rooms | 41, 4.24%, see rank | 9.49% | 9.13% |
4 Rooms | 164, 16.94%, see rank | 17.11% | 16.60% |
5 Rooms | 133, 13.74%, see rank | 17.47% | 20.41% |
6 Rooms | 181, 18.70%, see rank | 13.53% | 18.06% |
7 Rooms | 175, 18.08%, see rank | 11.31% | 12.27% |
8 Rooms | 130, 13.43%, see rank | 9.75% | 8.48% |
9 Rooms or More | 139, 14.36%, see rank | 16.61% | 10.60% |
Median Rooms | 6.30, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58356 Zip Code | North Dakota | U.S. |
Total Housing Units | 939, 100% | 319,468 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.46% | 1.95% |
2 Rooms | 10, 1.06%, see rank | 2.97% | 2.36% |
3 Rooms | 43, 4.58%, see rank | 8.90% | 8.97% |
4 Rooms | 141, 15.02%, see rank | 17.63% | 16.57% |
5 Rooms | 188, 20.02%, see rank | 17.45% | 20.41% |
6 Rooms | 148, 15.76%, see rank | 13.63% | 18.25% |
7 Rooms | 141, 15.02%, see rank | 11.37% | 12.38% |
8 Rooms | 134, 14.27%, see rank | 9.98% | 8.59% |
9 Rooms or More | 134, 14.27%, see rank | 16.62% | 10.52% |
Median Rooms | 6.10, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58356 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,019, 100% | 289,677 | 115,904,641 |
1 Room | 8, 0.79%, see rank | 1.47% | 2.20% |
2 Rooms | 35, 3.43%, see rank | 4.24% | 4.81% |
3 Rooms | 83, 8.15%, see rank | 8.59% | 9.84% |
4 Rooms | 173, 16.98%, see rank | 17.12% | 15.97% |
5 Rooms | 158, 15.51%, see rank | 19.62% | 20.89% |
6 Rooms | 214, 21.00%, see rank | 15.07% | 18.45% |
7 Rooms | 128, 12.56%, see rank | 11.35% | 12.06% |
8 Rooms | 115, 11.29%, see rank | 9.90% | 8.06% |
9 Rooms or More | 105, 10.30%, see rank | 12.63% | 7.70% |
Median Rooms | 5.70, 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.