70090 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 70090 Zip Code | Louisiana | U.S. |
Total Housing Units | 3,154, 100% | 1,988,460 | 132,741,033 |
1 Room | 11, 0.35%, see rank | 1.30% | 1.95% |
2 Rooms | 51, 1.62%, see rank | 1.78% | 2.48% |
3 Rooms | 195, 6.18%, see rank | 7.77% | 9.13% |
4 Rooms | 384, 12.18%, see rank | 17.53% | 16.60% |
5 Rooms | 712, 22.57%, see rank | 25.18% | 20.41% |
6 Rooms | 634, 20.10%, see rank | 19.93% | 18.06% |
7 Rooms | 451, 14.30%, see rank | 12.11% | 12.27% |
8 Rooms | 404, 12.81%, see rank | 7.29% | 8.48% |
9 Rooms or More | 312, 9.89%, see rank | 7.10% | 10.60% |
Median Rooms | 5.90, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 70090 Zip Code | Louisiana | U.S. |
Total Housing Units | 2,991, 100% | 1,964,329 | 131,642,457 |
1 Room | 27, 0.90%, see rank | 1.32% | 1.95% |
2 Rooms | 23, 0.77%, see rank | 1.86% | 2.36% |
3 Rooms | 218, 7.29%, see rank | 7.73% | 8.97% |
4 Rooms | 174, 5.82%, see rank | 17.45% | 16.57% |
5 Rooms | 927, 30.99%, see rank | 25.18% | 20.41% |
6 Rooms | 566, 18.92%, see rank | 20.07% | 18.25% |
7 Rooms | 470, 15.71%, see rank | 12.04% | 12.38% |
8 Rooms | 381, 12.74%, see rank | 7.31% | 8.59% |
9 Rooms or More | 205, 6.85%, see rank | 7.04% | 10.52% |
Median Rooms | 5.70, see rank | 5.40 | 5.50 |
US Census 2000 data
| 70090 Zip Code | Louisiana | U.S. |
Total Housing Units | 2,729, 100% | 1,847,181 | 115,904,641 |
1 Room | 16, 0.59%, see rank | 1.27% | 2.20% |
2 Rooms | 82, 3.00%, see rank | 4.08% | 4.81% |
3 Rooms | 247, 9.05%, see rank | 9.53% | 9.84% |
4 Rooms | 447, 16.38%, see rank | 17.98% | 15.97% |
5 Rooms | 618, 22.65%, see rank | 25.38% | 20.89% |
6 Rooms | 562, 20.59%, see rank | 19.58% | 18.45% |
7 Rooms | 407, 14.91%, see rank | 11.19% | 12.06% |
8 Rooms | 142, 5.20%, see rank | 6.08% | 8.06% |
9 Rooms or More | 208, 7.62%, see rank | 4.92% | 7.70% |
Median Rooms | 5.40, 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.