41169 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41169 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,416, 100% | 1,938,836 | 132,741,033 |
1 Room | 52, 2.15%, see rank | 1.31% | 1.95% |
2 Rooms | 76, 3.15%, see rank | 1.58% | 2.48% |
3 Rooms | 110, 4.55%, see rank | 6.92% | 9.13% |
4 Rooms | 266, 11.01%, see rank | 16.56% | 16.60% |
5 Rooms | 456, 18.87%, see rank | 22.96% | 20.41% |
6 Rooms | 435, 18.00%, see rank | 19.01% | 18.06% |
7 Rooms | 376, 15.56%, see rank | 12.52% | 12.27% |
8 Rooms | 305, 12.62%, see rank | 8.32% | 8.48% |
9 Rooms or More | 340, 14.07%, see rank | 10.81% | 10.60% |
Median Rooms | 6.10, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41169 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,536, 100% | 1,927,916 | 131,642,457 |
1 Room | 34, 1.34%, see rank | 1.25% | 1.95% |
2 Rooms | 46, 1.81%, see rank | 1.46% | 2.36% |
3 Rooms | 114, 4.50%, see rank | 6.71% | 8.97% |
4 Rooms | 242, 9.54%, see rank | 16.61% | 16.57% |
5 Rooms | 407, 16.05%, see rank | 23.21% | 20.41% |
6 Rooms | 553, 21.81%, see rank | 19.21% | 18.25% |
7 Rooms | 357, 14.08%, see rank | 12.52% | 12.38% |
8 Rooms | 306, 12.07%, see rank | 8.43% | 8.59% |
9 Rooms or More | 477, 18.81%, see rank | 10.60% | 10.52% |
Median Rooms | 6.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41169 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,048, 100% | 1,750,927 | 115,904,641 |
1 Room | 6, 0.29%, see rank | 0.89% | 2.20% |
2 Rooms | 12, 0.59%, see rank | 2.36% | 4.81% |
3 Rooms | 39, 1.90%, see rank | 6.95% | 9.84% |
4 Rooms | 214, 10.45%, see rank | 18.29% | 15.97% |
5 Rooms | 437, 21.34%, see rank | 25.17% | 20.89% |
6 Rooms | 510, 24.90%, see rank | 19.46% | 18.45% |
7 Rooms | 384, 18.75%, see rank | 12.06% | 12.06% |
8 Rooms | 220, 10.74%, see rank | 7.58% | 8.06% |
9 Rooms or More | 226, 11.04%, see rank | 7.24% | 7.70% |
Median Rooms | 6.10, 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.