58540 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58540 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,376, 100% | 332,010 | 132,741,033 |
1 Room | 10, 0.73%, see rank | 1.56% | 1.95% |
2 Rooms | 52, 3.78%, see rank | 3.17% | 2.48% |
3 Rooms | 143, 10.39%, see rank | 9.49% | 9.13% |
4 Rooms | 209, 15.19%, see rank | 17.11% | 16.60% |
5 Rooms | 348, 25.29%, see rank | 17.47% | 20.41% |
6 Rooms | 164, 11.92%, see rank | 13.53% | 18.06% |
7 Rooms | 191, 13.88%, see rank | 11.31% | 12.27% |
8 Rooms | 101, 7.34%, see rank | 9.75% | 8.48% |
9 Rooms or More | 158, 11.48%, see rank | 16.61% | 10.60% |
Median Rooms | 5.30, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58540 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,298, 100% | 319,468 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.46% | 1.95% |
2 Rooms | 33, 2.54%, see rank | 2.97% | 2.36% |
3 Rooms | 114, 8.78%, see rank | 8.90% | 8.97% |
4 Rooms | 192, 14.79%, see rank | 17.63% | 16.57% |
5 Rooms | 336, 25.89%, see rank | 17.45% | 20.41% |
6 Rooms | 212, 16.33%, see rank | 13.63% | 18.25% |
7 Rooms | 175, 13.48%, see rank | 11.37% | 12.38% |
8 Rooms | 94, 7.24%, see rank | 9.98% | 8.59% |
9 Rooms or More | 142, 10.94%, see rank | 16.62% | 10.52% |
Median Rooms | 5.40, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58540 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,190, 100% | 289,677 | 115,904,641 |
1 Room | 6, 0.50%, see rank | 1.47% | 2.20% |
2 Rooms | 28, 2.35%, see rank | 4.24% | 4.81% |
3 Rooms | 62, 5.21%, see rank | 8.59% | 9.84% |
4 Rooms | 230, 19.33%, see rank | 17.12% | 15.97% |
5 Rooms | 321, 26.97%, see rank | 19.62% | 20.89% |
6 Rooms | 172, 14.45%, see rank | 15.07% | 18.45% |
7 Rooms | 179, 15.04%, see rank | 11.35% | 12.06% |
8 Rooms | 80, 6.72%, see rank | 9.90% | 8.06% |
9 Rooms or More | 112, 9.41%, see rank | 12.63% | 7.70% |
Median Rooms | 5.30, 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.