41041 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41041 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,463, 100% | 1,938,836 | 132,741,033 |
1 Room | 22, 0.64%, see rank | 1.31% | 1.95% |
2 Rooms | 23, 0.66%, see rank | 1.58% | 2.48% |
3 Rooms | 192, 5.54%, see rank | 6.92% | 9.13% |
4 Rooms | 619, 17.87%, see rank | 16.56% | 16.60% |
5 Rooms | 848, 24.49%, see rank | 22.96% | 20.41% |
6 Rooms | 592, 17.10%, see rank | 19.01% | 18.06% |
7 Rooms | 451, 13.02%, see rank | 12.52% | 12.27% |
8 Rooms | 305, 8.81%, see rank | 8.32% | 8.48% |
9 Rooms or More | 411, 11.87%, see rank | 10.81% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41041 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,514, 100% | 1,927,916 | 131,642,457 |
1 Room | 27, 0.77%, see rank | 1.25% | 1.95% |
2 Rooms | 48, 1.37%, see rank | 1.46% | 2.36% |
3 Rooms | 253, 7.20%, see rank | 6.71% | 8.97% |
4 Rooms | 466, 13.26%, see rank | 16.61% | 16.57% |
5 Rooms | 739, 21.03%, see rank | 23.21% | 20.41% |
6 Rooms | 758, 21.57%, see rank | 19.21% | 18.25% |
7 Rooms | 484, 13.77%, see rank | 12.52% | 12.38% |
8 Rooms | 344, 9.79%, see rank | 8.43% | 8.59% |
9 Rooms or More | 395, 11.24%, see rank | 10.60% | 10.52% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41041 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,144, 100% | 1,750,927 | 115,904,641 |
1 Room | 8, 0.25%, see rank | 0.89% | 2.20% |
2 Rooms | 22, 0.70%, see rank | 2.36% | 4.81% |
3 Rooms | 143, 4.55%, see rank | 6.95% | 9.84% |
4 Rooms | 547, 17.40%, see rank | 18.29% | 15.97% |
5 Rooms | 717, 22.81%, see rank | 25.17% | 20.89% |
6 Rooms | 729, 23.19%, see rank | 19.46% | 18.45% |
7 Rooms | 439, 13.96%, see rank | 12.06% | 12.06% |
8 Rooms | 260, 8.27%, see rank | 7.58% | 8.06% |
9 Rooms or More | 279, 8.87%, see rank | 7.24% | 7.70% |
Median Rooms | 5.70, 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.