70503 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 70503 Zip Code | Louisiana | U.S. |
Occupied Units Paying Rent | 2,873, 100% | 517,424 | 39,201,928 |
$199 or Less | 12, 0.42%, see rank | 1.85% | 1.50% |
$200 to $299 | 58, 2.02%, see rank | 4.16% | 3.18% |
$300 to $499 | 58, 2.02%, see rank | 11.15% | 7.37% |
$500 to $699 | 645, 22.45%, see rank | 21.20% | 16.01% |
$700 to $999 | 1,223, 42.57%, see rank | 35.30% | 29.17% |
$1,000 to $1,499 | 634, 22.07%, see rank | 20.64% | 26.88% |
$1,500 to $1,999 | 145, 5.05%, see rank | 4.19% | 9.79% |
$2,000 or More | 98, 3.41%, see rank | 1.51% | 6.10% |
Median | $829, see rank | $786 | $920 |
ACS 2008-2012 data
Monthly Rental | 70503 Zip Code | Louisiana | U.S. |
Occupied Units Paying Rent | 3,014, 100% | 492,392 | 37,562,111 |
$199 or Less | 13, 0.43%, see rank | 2.28% | 1.76% |
$200 to $299 | 72, 2.39%, see rank | 4.37% | 3.29% |
$300 to $499 | 201, 6.67%, see rank | 12.34% | 8.20% |
$500 to $699 | 891, 29.56%, see rank | 22.60% | 17.39% |
$700 to $999 | 1,005, 33.34%, see rank | 34.05% | 29.40% |
$1,000 to $1,499 | 696, 23.09%, see rank | 19.15% | 25.73% |
$1,500 to $1,999 | 103, 3.42%, see rank | 3.83% | 8.92% |
$2,000 or More | 33, 1.09%, see rank | 1.38% | 5.30% |
Median | $738, see rank | $762 | $889 |
US Census 2000 data
Monthly Rental | 70503 Zip Code | Louisiana | U.S. |
Occupied Units Paying Rent | 2,515, 100% | 474,873 | 33,386,326 |
$199 or Less | 138, 5.49%, see rank | 9.00% | 5.52% |
$200 to $299 | 57, 2.27%, see rank | 10.19% | 5.45% |
$300 to $499 | 929, 36.94%, see rank | 38.11% | 23.18% |
$500 to $699 | 709, 28.19%, see rank | 28.40% | 29.57% |
$700 to $999 | 487, 19.36%, see rank | 11.06% | 24.06% |
$1,000 to $1,499 | 151, 6.00%, see rank | 2.47% | 9.15% |
$1,500 to $1,999 | 30, 1.19%, see rank | 0.54% | 2.05% |
$2,000 or More | 14, 0.56%, see rank | 0.23% | 1.02% |
Median | $523, see rank | $466 | $602 |
* 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.