71082 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 71082 Zip Code | Louisiana | U.S. |
Total Housing Units | 2,578, 100% | 1,988,460 | 132,741,033 |
1 Room | 11, 0.43%, see rank | 1.30% | 1.95% |
2 Rooms | 56, 2.17%, see rank | 1.78% | 2.48% |
3 Rooms | 336, 13.03%, see rank | 7.77% | 9.13% |
4 Rooms | 486, 18.85%, see rank | 17.53% | 16.60% |
5 Rooms | 489, 18.97%, see rank | 25.18% | 20.41% |
6 Rooms | 567, 21.99%, see rank | 19.93% | 18.06% |
7 Rooms | 334, 12.96%, see rank | 12.11% | 12.27% |
8 Rooms | 168, 6.52%, see rank | 7.29% | 8.48% |
9 Rooms or More | 131, 5.08%, see rank | 7.10% | 10.60% |
Median Rooms | 5.30, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 71082 Zip Code | Louisiana | U.S. |
Total Housing Units | 2,496, 100% | 1,964,329 | 131,642,457 |
1 Room | 10, 0.40%, see rank | 1.32% | 1.95% |
2 Rooms | 50, 2.00%, see rank | 1.86% | 2.36% |
3 Rooms | 384, 15.38%, see rank | 7.73% | 8.97% |
4 Rooms | 504, 20.19%, see rank | 17.45% | 16.57% |
5 Rooms | 473, 18.95%, see rank | 25.18% | 20.41% |
6 Rooms | 481, 19.27%, see rank | 20.07% | 18.25% |
7 Rooms | 264, 10.58%, see rank | 12.04% | 12.38% |
8 Rooms | 165, 6.61%, see rank | 7.31% | 8.59% |
9 Rooms or More | 165, 6.61%, see rank | 7.04% | 10.52% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
US Census 2000 data
| 71082 Zip Code | Louisiana | U.S. |
Total Housing Units | 2,533, 100% | 1,847,181 | 115,904,641 |
1 Room | 11, 0.43%, see rank | 1.27% | 2.20% |
2 Rooms | 41, 1.62%, see rank | 4.08% | 4.81% |
3 Rooms | 134, 5.29%, see rank | 9.53% | 9.84% |
4 Rooms | 564, 22.27%, see rank | 17.98% | 15.97% |
5 Rooms | 802, 31.66%, see rank | 25.38% | 20.89% |
6 Rooms | 578, 22.82%, see rank | 19.58% | 18.45% |
7 Rooms | 282, 11.13%, see rank | 11.19% | 12.06% |
8 Rooms | 67, 2.65%, see rank | 6.08% | 8.06% |
9 Rooms or More | 54, 2.13%, 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.