41465 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41465 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,342, 100% | 1,938,836 | 132,741,033 |
1 Room | 24, 0.45%, see rank | 1.31% | 1.95% |
2 Rooms | 30, 0.56%, see rank | 1.58% | 2.48% |
3 Rooms | 419, 7.84%, see rank | 6.92% | 9.13% |
4 Rooms | 960, 17.97%, see rank | 16.56% | 16.60% |
5 Rooms | 1,661, 31.09%, see rank | 22.96% | 20.41% |
6 Rooms | 1,026, 19.21%, see rank | 19.01% | 18.06% |
7 Rooms | 466, 8.72%, see rank | 12.52% | 12.27% |
8 Rooms | 453, 8.48%, see rank | 8.32% | 8.48% |
9 Rooms or More | 303, 5.67%, see rank | 10.81% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41465 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,387, 100% | 1,927,916 | 131,642,457 |
1 Room | 13, 0.24%, see rank | 1.25% | 1.95% |
2 Rooms | 31, 0.58%, see rank | 1.46% | 2.36% |
3 Rooms | 341, 6.33%, see rank | 6.71% | 8.97% |
4 Rooms | 1,084, 20.12%, see rank | 16.61% | 16.57% |
5 Rooms | 1,504, 27.92%, see rank | 23.21% | 20.41% |
6 Rooms | 896, 16.63%, see rank | 19.21% | 18.25% |
7 Rooms | 669, 12.42%, see rank | 12.52% | 12.38% |
8 Rooms | 433, 8.04%, see rank | 8.43% | 8.59% |
9 Rooms or More | 416, 7.72%, see rank | 10.60% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41465 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,170, 100% | 1,750,927 | 115,904,641 |
1 Room | 8, 0.15%, see rank | 0.89% | 2.20% |
2 Rooms | 96, 1.86%, see rank | 2.36% | 4.81% |
3 Rooms | 135, 2.61%, see rank | 6.95% | 9.84% |
4 Rooms | 1,175, 22.73%, see rank | 18.29% | 15.97% |
5 Rooms | 1,579, 30.54%, see rank | 25.17% | 20.89% |
6 Rooms | 1,050, 20.31%, see rank | 19.46% | 18.45% |
7 Rooms | 510, 9.86%, see rank | 12.06% | 12.06% |
8 Rooms | 375, 7.25%, see rank | 7.58% | 8.06% |
9 Rooms or More | 242, 4.68%, 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.