71373 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 71373 Zip Code | Louisiana | U.S. |
Total Housing Units | 3,342, 100% | 1,988,460 | 132,741,033 |
1 Room | 21, 0.63%, see rank | 1.30% | 1.95% |
2 Rooms | 7, 0.21%, see rank | 1.78% | 2.48% |
3 Rooms | 146, 4.37%, see rank | 7.77% | 9.13% |
4 Rooms | 209, 6.25%, see rank | 17.53% | 16.60% |
5 Rooms | 1,177, 35.22%, see rank | 25.18% | 20.41% |
6 Rooms | 959, 28.70%, see rank | 19.93% | 18.06% |
7 Rooms | 546, 16.34%, see rank | 12.11% | 12.27% |
8 Rooms | 134, 4.01%, see rank | 7.29% | 8.48% |
9 Rooms or More | 143, 4.28%, see rank | 7.10% | 10.60% |
Median Rooms | 5.60, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 71373 Zip Code | Louisiana | U.S. |
Total Housing Units | 3,262, 100% | 1,964,329 | 131,642,457 |
1 Room | 16, 0.49%, see rank | 1.32% | 1.95% |
2 Rooms | 49, 1.50%, see rank | 1.86% | 2.36% |
3 Rooms | 247, 7.57%, see rank | 7.73% | 8.97% |
4 Rooms | 361, 11.07%, see rank | 17.45% | 16.57% |
5 Rooms | 983, 30.13%, see rank | 25.18% | 20.41% |
6 Rooms | 834, 25.57%, see rank | 20.07% | 18.25% |
7 Rooms | 427, 13.09%, see rank | 12.04% | 12.38% |
8 Rooms | 205, 6.28%, see rank | 7.31% | 8.59% |
9 Rooms or More | 140, 4.29%, see rank | 7.04% | 10.52% |
Median Rooms | 5.50, see rank | 5.40 | 5.50 |
US Census 2000 data
| 71373 Zip Code | Louisiana | U.S. |
Total Housing Units | 3,328, 100% | 1,847,181 | 115,904,641 |
1 Room | 33, 0.99%, see rank | 1.27% | 2.20% |
2 Rooms | 122, 3.67%, see rank | 4.08% | 4.81% |
3 Rooms | 263, 7.90%, see rank | 9.53% | 9.84% |
4 Rooms | 572, 17.19%, see rank | 17.98% | 15.97% |
5 Rooms | 1,043, 31.34%, see rank | 25.38% | 20.89% |
6 Rooms | 684, 20.55%, see rank | 19.58% | 18.45% |
7 Rooms | 380, 11.42%, see rank | 11.19% | 12.06% |
8 Rooms | 119, 3.58%, see rank | 6.08% | 8.06% |
9 Rooms or More | 112, 3.37%, see rank | 4.92% | 7.70% |
Median Rooms | 5.10, see rank | 5.20 | 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.