40330 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 40330 Zip Code | Kentucky | U.S. |
Total Housing Units | 8,781, 100% | 1,938,836 | 132,741,033 |
1 Room | 114, 1.30%, see rank | 1.31% | 1.95% |
2 Rooms | 52, 0.59%, see rank | 1.58% | 2.48% |
3 Rooms | 496, 5.65%, see rank | 6.92% | 9.13% |
4 Rooms | 1,207, 13.75%, see rank | 16.56% | 16.60% |
5 Rooms | 2,011, 22.90%, see rank | 22.96% | 20.41% |
6 Rooms | 1,776, 20.23%, see rank | 19.01% | 18.06% |
7 Rooms | 1,354, 15.42%, see rank | 12.52% | 12.27% |
8 Rooms | 710, 8.09%, see rank | 8.32% | 8.48% |
9 Rooms or More | 1,061, 12.08%, see rank | 10.81% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 40330 Zip Code | Kentucky | U.S. |
Total Housing Units | 9,055, 100% | 1,927,916 | 131,642,457 |
1 Room | 130, 1.44%, see rank | 1.25% | 1.95% |
2 Rooms | 63, 0.70%, see rank | 1.46% | 2.36% |
3 Rooms | 510, 5.63%, see rank | 6.71% | 8.97% |
4 Rooms | 1,607, 17.75%, see rank | 16.61% | 16.57% |
5 Rooms | 1,728, 19.08%, see rank | 23.21% | 20.41% |
6 Rooms | 2,071, 22.87%, see rank | 19.21% | 18.25% |
7 Rooms | 1,270, 14.03%, see rank | 12.52% | 12.38% |
8 Rooms | 658, 7.27%, see rank | 8.43% | 8.59% |
9 Rooms or More | 1,018, 11.24%, see rank | 10.60% | 10.52% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 40330 Zip Code | Kentucky | U.S. |
Total Housing Units | 8,462, 100% | 1,750,927 | 115,904,641 |
1 Room | 62, 0.73%, see rank | 0.89% | 2.20% |
2 Rooms | 185, 2.19%, see rank | 2.36% | 4.81% |
3 Rooms | 364, 4.30%, see rank | 6.95% | 9.84% |
4 Rooms | 1,520, 17.96%, see rank | 18.29% | 15.97% |
5 Rooms | 2,119, 25.04%, see rank | 25.17% | 20.89% |
6 Rooms | 1,727, 20.41%, see rank | 19.46% | 18.45% |
7 Rooms | 1,023, 12.09%, see rank | 12.06% | 12.06% |
8 Rooms | 751, 8.87%, see rank | 7.58% | 8.06% |
9 Rooms or More | 711, 8.40%, 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.