41339 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41339 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,917, 100% | 1,938,836 | 132,741,033 |
1 Room | 58, 1.18%, see rank | 1.31% | 1.95% |
2 Rooms | 114, 2.32%, see rank | 1.58% | 2.48% |
3 Rooms | 294, 5.98%, see rank | 6.92% | 9.13% |
4 Rooms | 1,138, 23.14%, see rank | 16.56% | 16.60% |
5 Rooms | 1,319, 26.83%, see rank | 22.96% | 20.41% |
6 Rooms | 749, 15.23%, see rank | 19.01% | 18.06% |
7 Rooms | 611, 12.43%, see rank | 12.52% | 12.27% |
8 Rooms | 325, 6.61%, see rank | 8.32% | 8.48% |
9 Rooms or More | 309, 6.28%, see rank | 10.81% | 10.60% |
Median Rooms | 5.10, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41339 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,825, 100% | 1,927,916 | 131,642,457 |
1 Room | 69, 1.43%, see rank | 1.25% | 1.95% |
2 Rooms | 65, 1.35%, see rank | 1.46% | 2.36% |
3 Rooms | 297, 6.16%, see rank | 6.71% | 8.97% |
4 Rooms | 1,048, 21.72%, see rank | 16.61% | 16.57% |
5 Rooms | 1,448, 30.01%, see rank | 23.21% | 20.41% |
6 Rooms | 833, 17.26%, see rank | 19.21% | 18.25% |
7 Rooms | 512, 10.61%, see rank | 12.52% | 12.38% |
8 Rooms | 227, 4.70%, see rank | 8.43% | 8.59% |
9 Rooms or More | 326, 6.76%, see rank | 10.60% | 10.52% |
Median Rooms | 5.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41339 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,275, 100% | 1,750,927 | 115,904,641 |
1 Room | 48, 0.91%, see rank | 0.89% | 2.20% |
2 Rooms | 69, 1.31%, see rank | 2.36% | 4.81% |
3 Rooms | 230, 4.36%, see rank | 6.95% | 9.84% |
4 Rooms | 1,271, 24.09%, see rank | 18.29% | 15.97% |
5 Rooms | 1,567, 29.71%, see rank | 25.17% | 20.89% |
6 Rooms | 1,118, 21.19%, see rank | 19.46% | 18.45% |
7 Rooms | 499, 9.46%, see rank | 12.06% | 12.06% |
8 Rooms | 248, 4.70%, see rank | 7.58% | 8.06% |
9 Rooms or More | 225, 4.27%, see rank | 7.24% | 7.70% |
Median Rooms | 5.20, 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.