25704 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 25704 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,879, 100% | 168,111 | 39,201,928 |
$199 or Less | 78, 4.15%, see rank | 3.21% | 1.50% |
$200 to $299 | 138, 7.34%, see rank | 6.58% | 3.18% |
$300 to $499 | 302, 16.07%, see rank | 18.98% | 7.37% |
$500 to $699 | 697, 37.09%, see rank | 32.07% | 16.01% |
$700 to $999 | 597, 31.77%, see rank | 27.23% | 29.17% |
$1,000 to $1,499 | 67, 3.57%, see rank | 9.95% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.35% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 0.62% | 6.10% |
Median | $617, see rank | $630 | $920 |
ACS 2008-2012 data
Monthly Rental | 25704 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,752, 100% | 164,146 | 37,562,111 |
$199 or Less | 97, 5.54%, see rank | 4.25% | 1.76% |
$200 to $299 | 73, 4.17%, see rank | 6.85% | 3.29% |
$300 to $499 | 300, 17.12%, see rank | 22.67% | 8.20% |
$500 to $699 | 572, 32.65%, see rank | 32.93% | 17.39% |
$700 to $999 | 577, 32.93%, see rank | 23.73% | 29.40% |
$1,000 to $1,499 | 100, 5.71%, see rank | 8.03% | 25.73% |
$1,500 to $1,999 | 33, 1.88%, see rank | 0.98% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 0.55% | 5.30% |
Median | $634, see rank | $594 | $889 |
US Census 2000 data
Monthly Rental | 25704 Zip Code | West Virginia | U.S. |
Occupied Units Paying Rent | 1,872, 100% | 151,280 | 33,386,326 |
$199 or Less | 222, 11.86%, see rank | 12.37% | 5.52% |
$200 to $299 | 159, 8.49%, see rank | 14.18% | 5.45% |
$300 to $499 | 998, 53.31%, see rank | 45.23% | 23.18% |
$500 to $699 | 423, 22.60%, see rank | 20.92% | 29.57% |
$700 to $999 | 59, 3.15%, see rank | 5.90% | 24.06% |
$1,000 to $1,499 | 5, 0.27%, see rank | 1.15% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.18% | 2.05% |
$2,000 or More | 6, 0.32%, see rank | 0.07% | 1.02% |
Median | $422, 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.