40359 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 40359 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,591, 100% | 1,938,836 | 132,741,033 |
1 Room | 29, 0.81%, see rank | 1.31% | 1.95% |
2 Rooms | 182, 5.07%, see rank | 1.58% | 2.48% |
3 Rooms | 253, 7.05%, see rank | 6.92% | 9.13% |
4 Rooms | 517, 14.40%, see rank | 16.56% | 16.60% |
5 Rooms | 793, 22.08%, see rank | 22.96% | 20.41% |
6 Rooms | 783, 21.80%, see rank | 19.01% | 18.06% |
7 Rooms | 666, 18.55%, see rank | 12.52% | 12.27% |
8 Rooms | 157, 4.37%, see rank | 8.32% | 8.48% |
9 Rooms or More | 211, 5.88%, see rank | 10.81% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 40359 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,904, 100% | 1,927,916 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.25% | 1.95% |
2 Rooms | 152, 3.89%, see rank | 1.46% | 2.36% |
3 Rooms | 332, 8.50%, see rank | 6.71% | 8.97% |
4 Rooms | 496, 12.70%, see rank | 16.61% | 16.57% |
5 Rooms | 959, 24.56%, see rank | 23.21% | 20.41% |
6 Rooms | 997, 25.54%, see rank | 19.21% | 18.25% |
7 Rooms | 597, 15.29%, see rank | 12.52% | 12.38% |
8 Rooms | 181, 4.64%, see rank | 8.43% | 8.59% |
9 Rooms or More | 190, 4.87%, see rank | 10.60% | 10.52% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
US Census 2000 data
| 40359 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,485, 100% | 1,750,927 | 115,904,641 |
1 Room | 22, 0.63%, see rank | 0.89% | 2.20% |
2 Rooms | 155, 4.45%, see rank | 2.36% | 4.81% |
3 Rooms | 191, 5.48%, see rank | 6.95% | 9.84% |
4 Rooms | 684, 19.63%, see rank | 18.29% | 15.97% |
5 Rooms | 991, 28.44%, see rank | 25.17% | 20.89% |
6 Rooms | 677, 19.43%, see rank | 19.46% | 18.45% |
7 Rooms | 341, 9.78%, see rank | 12.06% | 12.06% |
8 Rooms | 265, 7.60%, see rank | 7.58% | 8.06% |
9 Rooms or More | 159, 4.56%, see rank | 7.24% | 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.