41008 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41008 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,070, 100% | 1,938,836 | 132,741,033 |
1 Room | 30, 0.98%, see rank | 1.31% | 1.95% |
2 Rooms | 27, 0.88%, see rank | 1.58% | 2.48% |
3 Rooms | 279, 9.09%, see rank | 6.92% | 9.13% |
4 Rooms | 461, 15.02%, see rank | 16.56% | 16.60% |
5 Rooms | 764, 24.89%, see rank | 22.96% | 20.41% |
6 Rooms | 649, 21.14%, see rank | 19.01% | 18.06% |
7 Rooms | 379, 12.35%, see rank | 12.52% | 12.27% |
8 Rooms | 237, 7.72%, see rank | 8.32% | 8.48% |
9 Rooms or More | 244, 7.95%, see rank | 10.81% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41008 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,178, 100% | 1,927,916 | 131,642,457 |
1 Room | 58, 1.83%, see rank | 1.25% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.46% | 2.36% |
3 Rooms | 338, 10.64%, see rank | 6.71% | 8.97% |
4 Rooms | 568, 17.87%, see rank | 16.61% | 16.57% |
5 Rooms | 720, 22.66%, see rank | 23.21% | 20.41% |
6 Rooms | 541, 17.02%, see rank | 19.21% | 18.25% |
7 Rooms | 412, 12.96%, see rank | 12.52% | 12.38% |
8 Rooms | 240, 7.55%, see rank | 8.43% | 8.59% |
9 Rooms or More | 301, 9.47%, see rank | 10.60% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41008 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,173, 100% | 1,750,927 | 115,904,641 |
1 Room | 65, 2.05%, see rank | 0.89% | 2.20% |
2 Rooms | 70, 2.21%, see rank | 2.36% | 4.81% |
3 Rooms | 321, 10.12%, see rank | 6.95% | 9.84% |
4 Rooms | 587, 18.50%, see rank | 18.29% | 15.97% |
5 Rooms | 766, 24.14%, see rank | 25.17% | 20.89% |
6 Rooms | 587, 18.50%, see rank | 19.46% | 18.45% |
7 Rooms | 398, 12.54%, see rank | 12.06% | 12.06% |
8 Rooms | 209, 6.59%, see rank | 7.58% | 8.06% |
9 Rooms or More | 170, 5.36%, 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.