39071 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 39071 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,273, 100% | 1,284,794 | 132,741,033 |
1 Room | 17, 0.75%, see rank | 1.21% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.58% | 2.48% |
3 Rooms | 12, 0.53%, see rank | 6.13% | 9.13% |
4 Rooms | 229, 10.07%, see rank | 16.22% | 16.60% |
5 Rooms | 464, 20.41%, see rank | 26.42% | 20.41% |
6 Rooms | 667, 29.34%, see rank | 20.78% | 18.06% |
7 Rooms | 421, 18.52%, see rank | 12.73% | 12.27% |
8 Rooms | 241, 10.60%, see rank | 7.32% | 8.48% |
9 Rooms or More | 222, 9.77%, see rank | 7.61% | 10.60% |
Median Rooms | 6.10, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 39071 Zip Code | Mississippi | U.S. |
Total Housing Units | 2,048, 100% | 1,274,277 | 131,642,457 |
1 Room | 15, 0.73%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.41% | 2.36% |
3 Rooms | 2, 0.10%, see rank | 5.99% | 8.97% |
4 Rooms | 253, 12.35%, see rank | 16.10% | 16.57% |
5 Rooms | 495, 24.17%, see rank | 26.91% | 20.41% |
6 Rooms | 621, 30.32%, see rank | 20.86% | 18.25% |
7 Rooms | 299, 14.60%, see rank | 12.63% | 12.38% |
8 Rooms | 171, 8.35%, see rank | 7.49% | 8.59% |
9 Rooms or More | 192, 9.38%, see rank | 7.54% | 10.52% |
Median Rooms | 5.90, see rank | 5.40 | 5.50 |
US Census 2000 data
| 39071 Zip Code | Mississippi | U.S. |
Total Housing Units | 1,620, 100% | 1,161,953 | 115,904,641 |
1 Room | 11, 0.68%, see rank | 0.73% | 2.20% |
2 Rooms | 32, 1.98%, see rank | 3.06% | 4.81% |
3 Rooms | 55, 3.40%, see rank | 8.23% | 9.84% |
4 Rooms | 102, 6.30%, see rank | 16.34% | 15.97% |
5 Rooms | 562, 34.69%, see rank | 27.21% | 20.89% |
6 Rooms | 380, 23.46%, see rank | 21.29% | 18.45% |
7 Rooms | 209, 12.90%, see rank | 11.84% | 12.06% |
8 Rooms | 150, 9.26%, see rank | 6.21% | 8.06% |
9 Rooms or More | 119, 7.35%, see rank | 5.10% | 7.70% |
Median Rooms | 5.60, 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.