58220 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 58220 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,215, 100% | 332,010 | 132,741,033 |
1 Room | 9, 0.74%, see rank | 1.56% | 1.95% |
2 Rooms | 7, 0.58%, see rank | 3.17% | 2.48% |
3 Rooms | 35, 2.88%, see rank | 9.49% | 9.13% |
4 Rooms | 178, 14.65%, see rank | 17.11% | 16.60% |
5 Rooms | 236, 19.42%, see rank | 17.47% | 20.41% |
6 Rooms | 276, 22.72%, see rank | 13.53% | 18.06% |
7 Rooms | 176, 14.49%, see rank | 11.31% | 12.27% |
8 Rooms | 103, 8.48%, see rank | 9.75% | 8.48% |
9 Rooms or More | 195, 16.05%, see rank | 16.61% | 10.60% |
Median Rooms | 6.00, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 58220 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,119, 100% | 319,468 | 131,642,457 |
1 Room | 10, 0.89%, see rank | 1.46% | 1.95% |
2 Rooms | 5, 0.45%, see rank | 2.97% | 2.36% |
3 Rooms | 49, 4.38%, see rank | 8.90% | 8.97% |
4 Rooms | 148, 13.23%, see rank | 17.63% | 16.57% |
5 Rooms | 189, 16.89%, see rank | 17.45% | 20.41% |
6 Rooms | 183, 16.35%, see rank | 13.63% | 18.25% |
7 Rooms | 202, 18.05%, see rank | 11.37% | 12.38% |
8 Rooms | 130, 11.62%, see rank | 9.98% | 8.59% |
9 Rooms or More | 203, 18.14%, see rank | 16.62% | 10.52% |
Median Rooms | 6.40, see rank | 5.60 | 5.50 |
US Census 2000 data
| 58220 Zip Code | North Dakota | U.S. |
Total Housing Units | 1,194, 100% | 289,677 | 115,904,641 |
1 Room | 6, 0.50%, see rank | 1.47% | 2.20% |
2 Rooms | 25, 2.09%, see rank | 4.24% | 4.81% |
3 Rooms | 71, 5.95%, see rank | 8.59% | 9.84% |
4 Rooms | 194, 16.25%, see rank | 17.12% | 15.97% |
5 Rooms | 228, 19.10%, see rank | 19.62% | 20.89% |
6 Rooms | 245, 20.52%, see rank | 15.07% | 18.45% |
7 Rooms | 189, 15.83%, see rank | 11.35% | 12.06% |
8 Rooms | 96, 8.04%, see rank | 9.90% | 8.06% |
9 Rooms or More | 140, 11.73%, 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.