Fontanet, IN Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | Fontanet, IN | Indiana | U.S. |
| Occupied Units Paying Rent | 22, 100% | 716,461 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.90% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 3.46% | 3.18% |
| $300 to $499 | 10, 45.45%, see rank | 10.51% | 7.37% |
| $500 to $699 | 12, 54.55%, see rank | 27.49% | 16.01% |
| $700 to $999 | 0, 0.00%, see rank | 37.65% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 15.48% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.39% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.13% | 6.10% |
| Median | $0, see rank | $741 | $920 |
ACS 2008-2012 data
| Monthly Rental | Fontanet, IN | Indiana | U.S. |
| Occupied Units Paying Rent | 11, 100% | 685,288 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 2.34% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 3.48% | 3.29% |
| $300 to $499 | 0, 0.00%, see rank | 11.93% | 8.20% |
| $500 to $699 | 11, 100.00%, see rank | 29.23% | 17.39% |
| $700 to $999 | 0, 0.00%, see rank | 36.33% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 13.66% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.97% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.06% | 5.30% |
| Median | $0, see rank | $719 | $889 |
ACS 2006-2010 data
| Monthly Rental | Fontanet, IN | Indiana | U.S. |
| Occupied Units Paying Rent | 22, 100% | 657,183 | 35,969,315 |
| $199 or Less | 0, 0.00%, see rank | 3.07% | 2.25% |
| $200 to $299 | 0, 0.00%, see rank | 3.42% | 3.41% |
| $300 to $499 | 0, 0.00%, see rank | 14.57% | 9.80% |
| $500 to $699 | 22, 100.00%, see rank | 31.75% | 19.41% |
| $700 to $999 | 0, 0.00%, see rank | 33.60% | 29.88% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 11.26% | 23.51% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.52% | 7.56% |
| $2,000 or More | 0, 0.00%, see rank | 0.81% | 4.16% |
| Median | $558, see rank | $683 | $841 |
* 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.
