38676 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 38676 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,545, 100% | 1,284,794 | 132,741,033 |
1 Room | 110, 4.32%, see rank | 1.21% | 1.95% |
2 Rooms | 67, 2.63%, see rank | 1.58% | 2.48% |
3 Rooms | 100, 3.93%, see rank | 6.13% | 9.13% |
4 Rooms | 587, 23.06%, see rank | 16.22% | 16.60% |
5 Rooms | 816, 32.06%, see rank | 26.42% | 20.41% |
6 Rooms | 351, 13.79%, see rank | 20.78% | 18.06% |
7 Rooms | 208, 8.17%, see rank | 12.73% | 12.27% |
8 Rooms | 164, 6.44%, see rank | 7.32% | 8.48% |
9 Rooms or More | 142, 5.58%, see rank | 7.61% | 10.60% |
Median Rooms | 5.00, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 38676 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,648, 100% | 1,274,277 | 131,642,457 |
1 Room | 76, 2.87%, see rank | 1.06% | 1.95% |
2 Rooms | 40, 1.51%, see rank | 1.41% | 2.36% |
3 Rooms | 109, 4.12%, see rank | 5.99% | 8.97% |
4 Rooms | 608, 22.96%, see rank | 16.10% | 16.57% |
5 Rooms | 1,011, 38.18%, see rank | 26.91% | 20.41% |
6 Rooms | 380, 14.35%, see rank | 20.86% | 18.25% |
7 Rooms | 213, 8.04%, see rank | 12.63% | 12.38% |
8 Rooms | 126, 4.76%, see rank | 7.49% | 8.59% |
9 Rooms or More | 85, 3.21%, see rank | 7.54% | 10.52% |
Median Rooms | 5.00, see rank | 5.40 | 5.50 |
US Census 2000 data
| 38676 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,633, 100% | 1,161,953 | 115,904,641 |
1 Room | 40, 1.52%, see rank | 0.73% | 2.20% |
2 Rooms | 135, 5.13%, see rank | 3.06% | 4.81% |
3 Rooms | 224, 8.51%, see rank | 8.23% | 9.84% |
4 Rooms | 561, 21.31%, see rank | 16.34% | 15.97% |
5 Rooms | 824, 31.30%, see rank | 27.21% | 20.89% |
6 Rooms | 386, 14.66%, see rank | 21.29% | 18.45% |
7 Rooms | 170, 6.46%, see rank | 11.84% | 12.06% |
8 Rooms | 176, 6.68%, see rank | 6.21% | 8.06% |
9 Rooms or More | 117, 4.44%, see rank | 5.10% | 7.70% |
Median Rooms | 4.90, 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.