60155 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 60155 Zip Code | Illinois | U.S. |
Total Housing Units | 3,394, 100% | 5,299,433 | 132,741,033 |
1 Room | 121, 3.57%, see rank | 2.20% | 1.95% |
2 Rooms | 40, 1.18%, see rank | 2.22% | 2.48% |
3 Rooms | 679, 20.01%, see rank | 8.27% | 9.13% |
4 Rooms | 357, 10.52%, see rank | 16.08% | 16.60% |
5 Rooms | 880, 25.93%, see rank | 20.31% | 20.41% |
6 Rooms | 781, 23.01%, see rank | 18.17% | 18.06% |
7 Rooms | 219, 6.45%, see rank | 12.12% | 12.27% |
8 Rooms | 224, 6.60%, see rank | 8.93% | 8.48% |
9 Rooms or More | 93, 2.74%, see rank | 11.70% | 10.60% |
Median Rooms | 5.10, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 60155 Zip Code | Illinois | U.S. |
Total Housing Units | 3,362, 100% | 5,293,619 | 131,642,457 |
1 Room | 140, 4.16%, see rank | 2.27% | 1.95% |
2 Rooms | 55, 1.64%, see rank | 2.06% | 2.36% |
3 Rooms | 590, 17.55%, see rank | 8.08% | 8.97% |
4 Rooms | 414, 12.31%, see rank | 16.02% | 16.57% |
5 Rooms | 738, 21.95%, see rank | 20.31% | 20.41% |
6 Rooms | 666, 19.81%, see rank | 18.21% | 18.25% |
7 Rooms | 421, 12.52%, see rank | 12.29% | 12.38% |
8 Rooms | 239, 7.11%, see rank | 8.98% | 8.59% |
9 Rooms or More | 99, 2.94%, see rank | 11.78% | 10.52% |
Median Rooms | 5.20, see rank | 5.60 | 5.50 |
US Census 2000 data
| 60155 Zip Code | Illinois | U.S. |
Total Housing Units | 3,363, 100% | 4,885,615 | 115,904,641 |
1 Room | 48, 1.43%, see rank | 1.95% | 2.20% |
2 Rooms | 108, 3.21%, see rank | 3.80% | 4.81% |
3 Rooms | 437, 12.99%, see rank | 8.53% | 9.84% |
4 Rooms | 524, 15.58%, see rank | 15.96% | 15.97% |
5 Rooms | 864, 25.69%, see rank | 21.73% | 20.89% |
6 Rooms | 746, 22.18%, see rank | 18.61% | 18.45% |
7 Rooms | 335, 9.96%, see rank | 12.30% | 12.06% |
8 Rooms | 215, 6.39%, see rank | 8.72% | 8.06% |
9 Rooms or More | 86, 2.56%, see rank | 8.40% | 7.70% |
Median Rooms | 5.20, 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.