38683 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 38683 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,598, 100% | 1,284,794 | 132,741,033 |
1 Room | 2, 0.08%, see rank | 1.21% | 1.95% |
2 Rooms | 128, 4.93%, see rank | 1.58% | 2.48% |
3 Rooms | 167, 6.43%, see rank | 6.13% | 9.13% |
4 Rooms | 430, 16.55%, see rank | 16.22% | 16.60% |
5 Rooms | 917, 35.30%, see rank | 26.42% | 20.41% |
6 Rooms | 411, 15.82%, see rank | 20.78% | 18.06% |
7 Rooms | 286, 11.01%, see rank | 12.73% | 12.27% |
8 Rooms | 111, 4.27%, see rank | 7.32% | 8.48% |
9 Rooms or More | 146, 5.62%, see rank | 7.61% | 10.60% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 38683 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,536, 100% | 1,274,277 | 131,642,457 |
1 Room | 2, 0.08%, see rank | 1.06% | 1.95% |
2 Rooms | 156, 6.15%, see rank | 1.41% | 2.36% |
3 Rooms | 143, 5.64%, see rank | 5.99% | 8.97% |
4 Rooms | 516, 20.35%, see rank | 16.10% | 16.57% |
5 Rooms | 798, 31.47%, see rank | 26.91% | 20.41% |
6 Rooms | 362, 14.27%, see rank | 20.86% | 18.25% |
7 Rooms | 228, 8.99%, see rank | 12.63% | 12.38% |
8 Rooms | 186, 7.33%, see rank | 7.49% | 8.59% |
9 Rooms or More | 145, 5.72%, see rank | 7.54% | 10.52% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
US Census 2000 data
| 38683 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,183, 100% | 1,161,953 | 115,904,641 |
1 Room | 15, 0.69%, see rank | 0.73% | 2.20% |
2 Rooms | 35, 1.60%, see rank | 3.06% | 4.81% |
3 Rooms | 112, 5.13%, see rank | 8.23% | 9.84% |
4 Rooms | 448, 20.52%, see rank | 16.34% | 15.97% |
5 Rooms | 797, 36.51%, see rank | 27.21% | 20.89% |
6 Rooms | 395, 18.09%, see rank | 21.29% | 18.45% |
7 Rooms | 179, 8.20%, see rank | 11.84% | 12.06% |
8 Rooms | 113, 5.18%, see rank | 6.21% | 8.06% |
9 Rooms or More | 89, 4.08%, see rank | 5.10% | 7.70% |
Median Rooms | 5.10, 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.