41129 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41129 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,111, 100% | 1,938,836 | 132,741,033 |
1 Room | 54, 1.31%, see rank | 1.31% | 1.95% |
2 Rooms | 30, 0.73%, see rank | 1.58% | 2.48% |
3 Rooms | 110, 2.68%, see rank | 6.92% | 9.13% |
4 Rooms | 322, 7.83%, see rank | 16.56% | 16.60% |
5 Rooms | 824, 20.04%, see rank | 22.96% | 20.41% |
6 Rooms | 902, 21.94%, see rank | 19.01% | 18.06% |
7 Rooms | 751, 18.27%, see rank | 12.52% | 12.27% |
8 Rooms | 593, 14.42%, see rank | 8.32% | 8.48% |
9 Rooms or More | 525, 12.77%, see rank | 10.81% | 10.60% |
Median Rooms | 6.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41129 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,336, 100% | 1,927,916 | 131,642,457 |
1 Room | 38, 0.88%, see rank | 1.25% | 1.95% |
2 Rooms | 45, 1.04%, see rank | 1.46% | 2.36% |
3 Rooms | 158, 3.64%, see rank | 6.71% | 8.97% |
4 Rooms | 533, 12.29%, see rank | 16.61% | 16.57% |
5 Rooms | 872, 20.11%, see rank | 23.21% | 20.41% |
6 Rooms | 848, 19.56%, see rank | 19.21% | 18.25% |
7 Rooms | 816, 18.82%, see rank | 12.52% | 12.38% |
8 Rooms | 451, 10.40%, see rank | 8.43% | 8.59% |
9 Rooms or More | 575, 13.26%, see rank | 10.60% | 10.52% |
Median Rooms | 6.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41129 Zip Code | Kentucky | U.S. |
Total Housing Units | 4,184, 100% | 1,750,927 | 115,904,641 |
1 Room | 53, 1.27%, see rank | 0.89% | 2.20% |
2 Rooms | 46, 1.10%, see rank | 2.36% | 4.81% |
3 Rooms | 218, 5.21%, see rank | 6.95% | 9.84% |
4 Rooms | 632, 15.11%, see rank | 18.29% | 15.97% |
5 Rooms | 932, 22.28%, see rank | 25.17% | 20.89% |
6 Rooms | 812, 19.41%, see rank | 19.46% | 18.45% |
7 Rooms | 638, 15.25%, see rank | 12.06% | 12.06% |
8 Rooms | 436, 10.42%, see rank | 7.58% | 8.06% |
9 Rooms or More | 417, 9.97%, see rank | 7.24% | 7.70% |
Median Rooms | 5.80, 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.