40033 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 40033 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,249, 100% | 1,938,836 | 132,741,033 |
1 Room | 32, 0.61%, see rank | 1.31% | 1.95% |
2 Rooms | 8, 0.15%, see rank | 1.58% | 2.48% |
3 Rooms | 337, 6.42%, see rank | 6.92% | 9.13% |
4 Rooms | 725, 13.81%, see rank | 16.56% | 16.60% |
5 Rooms | 1,239, 23.60%, see rank | 22.96% | 20.41% |
6 Rooms | 970, 18.48%, see rank | 19.01% | 18.06% |
7 Rooms | 736, 14.02%, see rank | 12.52% | 12.27% |
8 Rooms | 588, 11.20%, see rank | 8.32% | 8.48% |
9 Rooms or More | 614, 11.70%, see rank | 10.81% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 40033 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,191, 100% | 1,927,916 | 131,642,457 |
1 Room | 39, 0.75%, see rank | 1.25% | 1.95% |
2 Rooms | 24, 0.46%, see rank | 1.46% | 2.36% |
3 Rooms | 282, 5.43%, see rank | 6.71% | 8.97% |
4 Rooms | 651, 12.54%, see rank | 16.61% | 16.57% |
5 Rooms | 1,279, 24.64%, see rank | 23.21% | 20.41% |
6 Rooms | 1,034, 19.92%, see rank | 19.21% | 18.25% |
7 Rooms | 679, 13.08%, see rank | 12.52% | 12.38% |
8 Rooms | 638, 12.29%, see rank | 8.43% | 8.59% |
9 Rooms or More | 565, 10.88%, see rank | 10.60% | 10.52% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
US Census 2000 data
| 40033 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,663, 100% | 1,750,927 | 115,904,641 |
1 Room | 39, 0.84%, see rank | 0.89% | 2.20% |
2 Rooms | 100, 2.14%, see rank | 2.36% | 4.81% |
3 Rooms | 250, 5.36%, see rank | 6.95% | 9.84% |
4 Rooms | 664, 14.24%, see rank | 18.29% | 15.97% |
5 Rooms | 1,339, 28.72%, see rank | 25.17% | 20.89% |
6 Rooms | 1,007, 21.60%, see rank | 19.46% | 18.45% |
7 Rooms | 568, 12.18%, see rank | 12.06% | 12.06% |
8 Rooms | 368, 7.89%, see rank | 7.58% | 8.06% |
9 Rooms or More | 328, 7.03%, 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.