38922 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 38922 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,071, 100% | 1,284,794 | 132,741,033 |
1 Room | 63, 3.04%, see rank | 1.21% | 1.95% |
2 Rooms | 27, 1.30%, see rank | 1.58% | 2.48% |
3 Rooms | 201, 9.71%, see rank | 6.13% | 9.13% |
4 Rooms | 546, 26.36%, see rank | 16.22% | 16.60% |
5 Rooms | 448, 21.63%, see rank | 26.42% | 20.41% |
6 Rooms | 368, 17.77%, see rank | 20.78% | 18.06% |
7 Rooms | 209, 10.09%, see rank | 12.73% | 12.27% |
8 Rooms | 122, 5.89%, see rank | 7.32% | 8.48% |
9 Rooms or More | 87, 4.20%, see rank | 7.61% | 10.60% |
Median Rooms | 4.90, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 38922 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,331, 100% | 1,274,277 | 131,642,457 |
1 Room | 23, 0.99%, see rank | 1.06% | 1.95% |
2 Rooms | 43, 1.84%, see rank | 1.41% | 2.36% |
3 Rooms | 266, 11.41%, see rank | 5.99% | 8.97% |
4 Rooms | 529, 22.69%, see rank | 16.10% | 16.57% |
5 Rooms | 508, 21.79%, see rank | 26.91% | 20.41% |
6 Rooms | 515, 22.09%, see rank | 20.86% | 18.25% |
7 Rooms | 180, 7.72%, see rank | 12.63% | 12.38% |
8 Rooms | 200, 8.58%, see rank | 7.49% | 8.59% |
9 Rooms or More | 67, 2.87%, see rank | 7.54% | 10.52% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
US Census 2000 data
| 38922 Zip Code | Mississippi | U.S. |
Total Housing Units | 1,837, 100% | 1,161,953 | 115,904,641 |
1 Room | 5, 0.27%, see rank | 0.73% | 2.20% |
2 Rooms | 39, 2.12%, see rank | 3.06% | 4.81% |
3 Rooms | 104, 5.66%, see rank | 8.23% | 9.84% |
4 Rooms | 364, 19.81%, see rank | 16.34% | 15.97% |
5 Rooms | 590, 32.12%, see rank | 27.21% | 20.89% |
6 Rooms | 409, 22.26%, see rank | 21.29% | 18.45% |
7 Rooms | 178, 9.69%, see rank | 11.84% | 12.06% |
8 Rooms | 92, 5.01%, see rank | 6.21% | 8.06% |
9 Rooms or More | 56, 3.05%, see rank | 5.10% | 7.70% |
Median Rooms | 5.20, see rank | 5.30 | 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.