40229 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 40229 Zip Code | Kentucky | U.S. |
Total Housing Units | 14,846, 100% | 1,938,836 | 132,741,033 |
1 Room | 8, 0.05%, see rank | 1.31% | 1.95% |
2 Rooms | 95, 0.64%, see rank | 1.58% | 2.48% |
3 Rooms | 757, 5.10%, see rank | 6.92% | 9.13% |
4 Rooms | 1,919, 12.93%, see rank | 16.56% | 16.60% |
5 Rooms | 4,556, 30.69%, see rank | 22.96% | 20.41% |
6 Rooms | 3,423, 23.06%, see rank | 19.01% | 18.06% |
7 Rooms | 1,793, 12.08%, see rank | 12.52% | 12.27% |
8 Rooms | 1,197, 8.06%, see rank | 8.32% | 8.48% |
9 Rooms or More | 1,098, 7.40%, see rank | 10.81% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 40229 Zip Code | Kentucky | U.S. |
Total Housing Units | 14,246, 100% | 1,927,916 | 131,642,457 |
1 Room | 21, 0.15%, see rank | 1.25% | 1.95% |
2 Rooms | 13, 0.09%, see rank | 1.46% | 2.36% |
3 Rooms | 586, 4.11%, see rank | 6.71% | 8.97% |
4 Rooms | 1,816, 12.75%, see rank | 16.61% | 16.57% |
5 Rooms | 4,377, 30.72%, see rank | 23.21% | 20.41% |
6 Rooms | 3,272, 22.97%, see rank | 19.21% | 18.25% |
7 Rooms | 1,999, 14.03%, see rank | 12.52% | 12.38% |
8 Rooms | 1,126, 7.90%, see rank | 8.43% | 8.59% |
9 Rooms or More | 1,036, 7.27%, see rank | 10.60% | 10.52% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 40229 Zip Code | Kentucky | U.S. |
Total Housing Units | 11,098, 100% | 1,750,927 | 115,904,641 |
1 Room | 8, 0.07%, see rank | 0.89% | 2.20% |
2 Rooms | 49, 0.44%, see rank | 2.36% | 4.81% |
3 Rooms | 518, 4.67%, see rank | 6.95% | 9.84% |
4 Rooms | 1,324, 11.93%, see rank | 18.29% | 15.97% |
5 Rooms | 4,234, 38.15%, see rank | 25.17% | 20.89% |
6 Rooms | 2,378, 21.43%, see rank | 19.46% | 18.45% |
7 Rooms | 1,398, 12.60%, see rank | 12.06% | 12.06% |
8 Rooms | 748, 6.74%, see rank | 7.58% | 8.06% |
9 Rooms or More | 441, 3.97%, see rank | 7.24% | 7.70% |
Median Rooms | 5.40, 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.