62675 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 62675 Zip Code | Illinois | U.S. |
Total Housing Units | 2,872, 100% | 5,299,433 | 132,741,033 |
1 Room | 48, 1.67%, see rank | 2.20% | 1.95% |
2 Rooms | 57, 1.98%, see rank | 2.22% | 2.48% |
3 Rooms | 131, 4.56%, see rank | 8.27% | 9.13% |
4 Rooms | 286, 9.96%, see rank | 16.08% | 16.60% |
5 Rooms | 537, 18.70%, see rank | 20.31% | 20.41% |
6 Rooms | 678, 23.61%, see rank | 18.17% | 18.06% |
7 Rooms | 339, 11.80%, see rank | 12.12% | 12.27% |
8 Rooms | 357, 12.43%, see rank | 8.93% | 8.48% |
9 Rooms or More | 439, 15.29%, see rank | 11.70% | 10.60% |
Median Rooms | 6.10, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 62675 Zip Code | Illinois | U.S. |
Total Housing Units | 2,851, 100% | 5,293,619 | 131,642,457 |
1 Room | 48, 1.68%, see rank | 2.27% | 1.95% |
2 Rooms | 37, 1.30%, see rank | 2.06% | 2.36% |
3 Rooms | 169, 5.93%, see rank | 8.08% | 8.97% |
4 Rooms | 285, 10.00%, see rank | 16.02% | 16.57% |
5 Rooms | 545, 19.12%, see rank | 20.31% | 20.41% |
6 Rooms | 687, 24.10%, see rank | 18.21% | 18.25% |
7 Rooms | 362, 12.70%, see rank | 12.29% | 12.38% |
8 Rooms | 280, 9.82%, see rank | 8.98% | 8.59% |
9 Rooms or More | 438, 15.36%, see rank | 11.78% | 10.52% |
Median Rooms | 6.00, see rank | 5.60 | 5.50 |
US Census 2000 data
| 62675 Zip Code | Illinois | U.S. |
Total Housing Units | 2,585, 100% | 4,885,615 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.95% | 2.20% |
2 Rooms | 19, 0.74%, see rank | 3.80% | 4.81% |
3 Rooms | 184, 7.12%, see rank | 8.53% | 9.84% |
4 Rooms | 398, 15.40%, see rank | 15.96% | 15.97% |
5 Rooms | 599, 23.17%, see rank | 21.73% | 20.89% |
6 Rooms | 458, 17.72%, see rank | 18.61% | 18.45% |
7 Rooms | 434, 16.79%, see rank | 12.30% | 12.06% |
8 Rooms | 289, 11.18%, see rank | 8.72% | 8.06% |
9 Rooms or More | 204, 7.89%, see rank | 8.40% | 7.70% |
Median Rooms | 5.70, see rank | 5.40 | 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.