40906 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 40906 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,250, 100% | 1,938,836 | 132,741,033 |
1 Room | 82, 1.56%, see rank | 1.31% | 1.95% |
2 Rooms | 128, 2.44%, see rank | 1.58% | 2.48% |
3 Rooms | 421, 8.02%, see rank | 6.92% | 9.13% |
4 Rooms | 1,499, 28.55%, see rank | 16.56% | 16.60% |
5 Rooms | 1,064, 20.27%, see rank | 22.96% | 20.41% |
6 Rooms | 941, 17.92%, see rank | 19.01% | 18.06% |
7 Rooms | 450, 8.57%, see rank | 12.52% | 12.27% |
8 Rooms | 310, 5.90%, see rank | 8.32% | 8.48% |
9 Rooms or More | 355, 6.76%, see rank | 10.81% | 10.60% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 40906 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,991, 100% | 1,927,916 | 131,642,457 |
1 Room | 111, 2.22%, see rank | 1.25% | 1.95% |
2 Rooms | 107, 2.14%, see rank | 1.46% | 2.36% |
3 Rooms | 396, 7.93%, see rank | 6.71% | 8.97% |
4 Rooms | 1,381, 27.67%, see rank | 16.61% | 16.57% |
5 Rooms | 1,236, 24.76%, see rank | 23.21% | 20.41% |
6 Rooms | 864, 17.31%, see rank | 19.21% | 18.25% |
7 Rooms | 423, 8.48%, see rank | 12.52% | 12.38% |
8 Rooms | 234, 4.69%, see rank | 8.43% | 8.59% |
9 Rooms or More | 239, 4.79%, see rank | 10.60% | 10.52% |
Median Rooms | 4.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 40906 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,652, 100% | 1,750,927 | 115,904,641 |
1 Room | 19, 0.41%, see rank | 0.89% | 2.20% |
2 Rooms | 41, 0.88%, see rank | 2.36% | 4.81% |
3 Rooms | 396, 8.51%, see rank | 6.95% | 9.84% |
4 Rooms | 1,111, 23.88%, see rank | 18.29% | 15.97% |
5 Rooms | 1,371, 29.47%, see rank | 25.17% | 20.89% |
6 Rooms | 948, 20.38%, see rank | 19.46% | 18.45% |
7 Rooms | 370, 7.95%, see rank | 12.06% | 12.06% |
8 Rooms | 246, 5.29%, see rank | 7.58% | 8.06% |
9 Rooms or More | 150, 3.22%, see rank | 7.24% | 7.70% |
Median Rooms | 5.10, 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.