74010 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 74010 Zip Code | Oklahoma | U.S. |
Total Housing Units | 4,844, 100% | 1,680,457 | 132,741,033 |
1 Room | 160, 3.30%, see rank | 1.40% | 1.95% |
2 Rooms | 69, 1.42%, see rank | 1.80% | 2.48% |
3 Rooms | 282, 5.82%, see rank | 7.49% | 9.13% |
4 Rooms | 1,037, 21.41%, see rank | 16.19% | 16.60% |
5 Rooms | 1,246, 25.72%, see rank | 26.06% | 20.41% |
6 Rooms | 1,014, 20.93%, see rank | 21.02% | 18.06% |
7 Rooms | 534, 11.02%, see rank | 12.20% | 12.27% |
8 Rooms | 229, 4.73%, see rank | 6.93% | 8.48% |
9 Rooms or More | 273, 5.64%, see rank | 6.91% | 10.60% |
Median Rooms | 5.20, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 74010 Zip Code | Oklahoma | U.S. |
Total Housing Units | 4,964, 100% | 1,664,404 | 131,642,457 |
1 Room | 166, 3.34%, see rank | 1.40% | 1.95% |
2 Rooms | 28, 0.56%, see rank | 1.72% | 2.36% |
3 Rooms | 210, 4.23%, see rank | 7.44% | 8.97% |
4 Rooms | 808, 16.28%, see rank | 16.15% | 16.57% |
5 Rooms | 1,283, 25.85%, see rank | 26.26% | 20.41% |
6 Rooms | 1,290, 25.99%, see rank | 21.26% | 18.25% |
7 Rooms | 487, 9.81%, see rank | 12.16% | 12.38% |
8 Rooms | 368, 7.41%, see rank | 6.76% | 8.59% |
9 Rooms or More | 324, 6.53%, see rank | 6.84% | 10.52% |
Median Rooms | 5.50, see rank | 5.40 | 5.50 |
US Census 2000 data
| 74010 Zip Code | Oklahoma | U.S. |
Total Housing Units | 4,477, 100% | 1,514,400 | 115,904,641 |
1 Room | 44, 0.98%, see rank | 1.30% | 2.20% |
2 Rooms | 79, 1.76%, see rank | 3.50% | 4.81% |
3 Rooms | 292, 6.52%, see rank | 8.25% | 9.84% |
4 Rooms | 885, 19.77%, see rank | 17.25% | 15.97% |
5 Rooms | 1,411, 31.52%, see rank | 27.57% | 20.89% |
6 Rooms | 924, 20.64%, see rank | 21.75% | 18.45% |
7 Rooms | 455, 10.16%, see rank | 10.88% | 12.06% |
8 Rooms | 224, 5.00%, see rank | 5.38% | 8.06% |
9 Rooms or More | 163, 3.64%, see rank | 4.13% | 7.70% |
Median Rooms | 5.20, see rank | 5.20 | 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.