39422 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 39422 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,402, 100% | 1,284,794 | 132,741,033 |
1 Room | 64, 2.66%, see rank | 1.21% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.58% | 2.48% |
3 Rooms | 105, 4.37%, see rank | 6.13% | 9.13% |
4 Rooms | 341, 14.20%, see rank | 16.22% | 16.60% |
5 Rooms | 819, 34.10%, see rank | 26.42% | 20.41% |
6 Rooms | 473, 19.69%, see rank | 20.78% | 18.06% |
7 Rooms | 291, 12.11%, see rank | 12.73% | 12.27% |
8 Rooms | 159, 6.62%, see rank | 7.32% | 8.48% |
9 Rooms or More | 150, 6.24%, see rank | 7.61% | 10.60% |
Median Rooms | 5.30, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 39422 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,313, 100% | 1,274,277 | 131,642,457 |
1 Room | 45, 1.95%, see rank | 1.06% | 1.95% |
2 Rooms | 43, 1.86%, see rank | 1.41% | 2.36% |
3 Rooms | 57, 2.46%, see rank | 5.99% | 8.97% |
4 Rooms | 329, 14.22%, see rank | 16.10% | 16.57% |
5 Rooms | 758, 32.77%, see rank | 26.91% | 20.41% |
6 Rooms | 466, 20.15%, see rank | 20.86% | 18.25% |
7 Rooms | 247, 10.68%, see rank | 12.63% | 12.38% |
8 Rooms | 236, 10.20%, see rank | 7.49% | 8.59% |
9 Rooms or More | 132, 5.71%, see rank | 7.54% | 10.52% |
Median Rooms | 5.40, see rank | 5.40 | 5.50 |
US Census 2000 data
| 39422 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,426, 100% | 1,161,953 | 115,904,641 |
1 Room | 3, 0.12%, see rank | 0.73% | 2.20% |
2 Rooms | 50, 2.06%, see rank | 3.06% | 4.81% |
3 Rooms | 175, 7.21%, see rank | 8.23% | 9.84% |
4 Rooms | 318, 13.11%, see rank | 16.34% | 15.97% |
5 Rooms | 650, 26.79%, see rank | 27.21% | 20.89% |
6 Rooms | 575, 23.70%, see rank | 21.29% | 18.45% |
7 Rooms | 387, 15.95%, see rank | 11.84% | 12.06% |
8 Rooms | 157, 6.47%, see rank | 6.21% | 8.06% |
9 Rooms or More | 111, 4.58%, see rank | 5.10% | 7.70% |
Median Rooms | 5.50, 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.