42029 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 42029 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,825, 100% | 1,938,836 | 132,741,033 |
1 Room | 69, 2.44%, see rank | 1.31% | 1.95% |
2 Rooms | 54, 1.91%, see rank | 1.58% | 2.48% |
3 Rooms | 140, 4.96%, see rank | 6.92% | 9.13% |
4 Rooms | 375, 13.27%, see rank | 16.56% | 16.60% |
5 Rooms | 629, 22.27%, see rank | 22.96% | 20.41% |
6 Rooms | 592, 20.96%, see rank | 19.01% | 18.06% |
7 Rooms | 466, 16.50%, see rank | 12.52% | 12.27% |
8 Rooms | 200, 7.08%, see rank | 8.32% | 8.48% |
9 Rooms or More | 300, 10.62%, see rank | 10.81% | 10.60% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 42029 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,788, 100% | 1,927,916 | 131,642,457 |
1 Room | 133, 4.77%, see rank | 1.25% | 1.95% |
2 Rooms | 29, 1.04%, see rank | 1.46% | 2.36% |
3 Rooms | 101, 3.62%, see rank | 6.71% | 8.97% |
4 Rooms | 536, 19.23%, see rank | 16.61% | 16.57% |
5 Rooms | 484, 17.36%, see rank | 23.21% | 20.41% |
6 Rooms | 556, 19.94%, see rank | 19.21% | 18.25% |
7 Rooms | 474, 17.00%, see rank | 12.52% | 12.38% |
8 Rooms | 205, 7.35%, see rank | 8.43% | 8.59% |
9 Rooms or More | 270, 9.68%, see rank | 10.60% | 10.52% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 42029 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,715, 100% | 1,750,927 | 115,904,641 |
1 Room | 5, 0.18%, see rank | 0.89% | 2.20% |
2 Rooms | 32, 1.18%, see rank | 2.36% | 4.81% |
3 Rooms | 106, 3.90%, see rank | 6.95% | 9.84% |
4 Rooms | 450, 16.57%, see rank | 18.29% | 15.97% |
5 Rooms | 709, 26.11%, see rank | 25.17% | 20.89% |
6 Rooms | 663, 24.42%, see rank | 19.46% | 18.45% |
7 Rooms | 357, 13.15%, see rank | 12.06% | 12.06% |
8 Rooms | 180, 6.63%, see rank | 7.58% | 8.06% |
9 Rooms or More | 213, 7.85%, see rank | 7.24% | 7.70% |
Median Rooms | 5.60, 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.