40175 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 40175 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,764, 100% | 1,938,836 | 132,741,033 |
1 Room | 78, 1.35%, see rank | 1.31% | 1.95% |
2 Rooms | 81, 1.41%, see rank | 1.58% | 2.48% |
3 Rooms | 248, 4.30%, see rank | 6.92% | 9.13% |
4 Rooms | 649, 11.26%, see rank | 16.56% | 16.60% |
5 Rooms | 1,182, 20.51%, see rank | 22.96% | 20.41% |
6 Rooms | 1,393, 24.17%, see rank | 19.01% | 18.06% |
7 Rooms | 585, 10.15%, see rank | 12.52% | 12.27% |
8 Rooms | 661, 11.47%, see rank | 8.32% | 8.48% |
9 Rooms or More | 887, 15.39%, see rank | 10.81% | 10.60% |
Median Rooms | 6.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 40175 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,402, 100% | 1,927,916 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.25% | 1.95% |
2 Rooms | 70, 1.30%, see rank | 1.46% | 2.36% |
3 Rooms | 337, 6.24%, see rank | 6.71% | 8.97% |
4 Rooms | 622, 11.51%, see rank | 16.61% | 16.57% |
5 Rooms | 1,190, 22.03%, see rank | 23.21% | 20.41% |
6 Rooms | 1,272, 23.55%, see rank | 19.21% | 18.25% |
7 Rooms | 571, 10.57%, see rank | 12.52% | 12.38% |
8 Rooms | 510, 9.44%, see rank | 8.43% | 8.59% |
9 Rooms or More | 830, 15.36%, see rank | 10.60% | 10.52% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 40175 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,945, 100% | 1,750,927 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
2 Rooms | 84, 2.13%, see rank | 2.36% | 4.81% |
3 Rooms | 237, 6.01%, see rank | 6.95% | 9.84% |
4 Rooms | 545, 13.81%, see rank | 18.29% | 15.97% |
5 Rooms | 1,143, 28.97%, see rank | 25.17% | 20.89% |
6 Rooms | 836, 21.19%, see rank | 19.46% | 18.45% |
7 Rooms | 454, 11.51%, see rank | 12.06% | 12.06% |
8 Rooms | 351, 8.90%, see rank | 7.58% | 8.06% |
9 Rooms or More | 295, 7.48%, see rank | 7.24% | 7.70% |
Median Rooms | 5.50, 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.