25526 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 25526 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,445, 100% | 168,111 | 39,201,928 |
$199 or Less | 46, 3.18%, see rank | 3.21% | 1.50% |
$200 to $299 | 14, 0.97%, see rank | 6.58% | 3.18% |
$300 to $499 | 132, 9.13%, see rank | 18.98% | 7.37% |
$500 to $699 | 395, 27.34%, see rank | 32.07% | 16.01% |
$700 to $999 | 609, 42.15%, see rank | 27.23% | 29.17% |
$1,000 to $1,499 | 180, 12.46%, see rank | 9.95% | 26.88% |
$1,500 to $1,999 | 56, 3.88%, see rank | 1.35% | 9.79% |
$2,000 or More | 13, 0.90%, see rank | 0.62% | 6.10% |
Median | $806, see rank | $630 | $920 |
ACS 2008-2012 data
Monthly Rental | 25526 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,114, 100% | 164,146 | 37,562,111 |
$199 or Less | 53, 4.76%, see rank | 4.25% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 6.85% | 3.29% |
$300 to $499 | 120, 10.77%, see rank | 22.67% | 8.20% |
$500 to $699 | 408, 36.62%, see rank | 32.93% | 17.39% |
$700 to $999 | 461, 41.38%, see rank | 23.73% | 29.40% |
$1,000 to $1,499 | 34, 3.05%, see rank | 8.03% | 25.73% |
$1,500 to $1,999 | 38, 3.41%, see rank | 0.98% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 0.55% | 5.30% |
Median | $683, see rank | $594 | $889 |
US Census 2000 data
Monthly Rental | 25526 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,231, 100% | 151,280 | 33,386,326 |
$199 or Less | 75, 6.09%, see rank | 12.37% | 5.52% |
$200 to $299 | 29, 2.36%, see rank | 14.18% | 5.45% |
$300 to $499 | 443, 35.99%, see rank | 45.23% | 23.18% |
$500 to $699 | 443, 35.99%, see rank | 20.92% | 29.57% |
$700 to $999 | 206, 16.73%, see rank | 5.90% | 24.06% |
$1,000 to $1,499 | 26, 2.11%, see rank | 1.15% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.18% | 2.05% |
$2,000 or More | 9, 0.73%, see rank | 0.07% | 1.02% |
Median | $517, see rank | $401 | $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.