70812 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 70812 Zip Code | Louisiana | U.S. |
Total Housing Units | 4,044, 100% | 1,988,460 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.30% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.78% | 2.48% |
3 Rooms | 220, 5.44%, see rank | 7.77% | 9.13% |
4 Rooms | 251, 6.21%, see rank | 17.53% | 16.60% |
5 Rooms | 1,636, 40.45%, see rank | 25.18% | 20.41% |
6 Rooms | 1,191, 29.45%, see rank | 19.93% | 18.06% |
7 Rooms | 289, 7.15%, see rank | 12.11% | 12.27% |
8 Rooms | 269, 6.65%, see rank | 7.29% | 8.48% |
9 Rooms or More | 188, 4.65%, see rank | 7.10% | 10.60% |
Median Rooms | 5.40, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 70812 Zip Code | Louisiana | U.S. |
Total Housing Units | 4,153, 100% | 1,964,329 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.32% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.86% | 2.36% |
3 Rooms | 160, 3.85%, see rank | 7.73% | 8.97% |
4 Rooms | 249, 6.00%, see rank | 17.45% | 16.57% |
5 Rooms | 1,689, 40.67%, see rank | 25.18% | 20.41% |
6 Rooms | 1,244, 29.95%, see rank | 20.07% | 18.25% |
7 Rooms | 253, 6.09%, see rank | 12.04% | 12.38% |
8 Rooms | 266, 6.41%, see rank | 7.31% | 8.59% |
9 Rooms or More | 292, 7.03%, see rank | 7.04% | 10.52% |
Median Rooms | 5.50, see rank | 5.40 | 5.50 |
US Census 2000 data
| 70812 Zip Code | Louisiana | U.S. |
Total Housing Units | 3,982, 100% | 1,847,181 | 115,904,641 |
1 Room | 81, 2.03%, see rank | 1.27% | 2.20% |
2 Rooms | 87, 2.18%, see rank | 4.08% | 4.81% |
3 Rooms | 300, 7.53%, see rank | 9.53% | 9.84% |
4 Rooms | 383, 9.62%, see rank | 17.98% | 15.97% |
5 Rooms | 1,229, 30.86%, see rank | 25.38% | 20.89% |
6 Rooms | 1,076, 27.02%, see rank | 19.58% | 18.45% |
7 Rooms | 410, 10.30%, see rank | 11.19% | 12.06% |
8 Rooms | 294, 7.38%, see rank | 6.08% | 8.06% |
9 Rooms or More | 122, 3.06%, 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.