70615 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 70615 Zip Code | Louisiana | U.S. |
Total Housing Units | 5,363, 100% | 1,988,460 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.30% | 1.95% |
2 Rooms | 118, 2.20%, see rank | 1.78% | 2.48% |
3 Rooms | 433, 8.07%, see rank | 7.77% | 9.13% |
4 Rooms | 1,149, 21.42%, see rank | 17.53% | 16.60% |
5 Rooms | 1,614, 30.10%, see rank | 25.18% | 20.41% |
6 Rooms | 817, 15.23%, see rank | 19.93% | 18.06% |
7 Rooms | 512, 9.55%, see rank | 12.11% | 12.27% |
8 Rooms | 461, 8.60%, see rank | 7.29% | 8.48% |
9 Rooms or More | 259, 4.83%, see rank | 7.10% | 10.60% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 70615 Zip Code | Louisiana | U.S. |
Total Housing Units | 5,189, 100% | 1,964,329 | 131,642,457 |
1 Room | 74, 1.43%, see rank | 1.32% | 1.95% |
2 Rooms | 163, 3.14%, see rank | 1.86% | 2.36% |
3 Rooms | 463, 8.92%, see rank | 7.73% | 8.97% |
4 Rooms | 1,127, 21.72%, see rank | 17.45% | 16.57% |
5 Rooms | 1,321, 25.46%, see rank | 25.18% | 20.41% |
6 Rooms | 922, 17.77%, see rank | 20.07% | 18.25% |
7 Rooms | 566, 10.91%, see rank | 12.04% | 12.38% |
8 Rooms | 294, 5.67%, see rank | 7.31% | 8.59% |
9 Rooms or More | 259, 4.99%, see rank | 7.04% | 10.52% |
Median Rooms | 5.10, see rank | 5.40 | 5.50 |
US Census 2000 data
| 70615 Zip Code | Louisiana | U.S. |
Total Housing Units | 5,310, 100% | 1,847,181 | 115,904,641 |
1 Room | 24, 0.45%, see rank | 1.27% | 2.20% |
2 Rooms | 228, 4.29%, see rank | 4.08% | 4.81% |
3 Rooms | 532, 10.02%, see rank | 9.53% | 9.84% |
4 Rooms | 1,179, 22.20%, see rank | 17.98% | 15.97% |
5 Rooms | 1,798, 33.86%, see rank | 25.38% | 20.89% |
6 Rooms | 745, 14.03%, see rank | 19.58% | 18.45% |
7 Rooms | 453, 8.53%, see rank | 11.19% | 12.06% |
8 Rooms | 207, 3.90%, see rank | 6.08% | 8.06% |
9 Rooms or More | 144, 2.71%, see rank | 4.92% | 7.70% |
Median Rooms | 4.90, 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.