71667 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 71667 Zip Code | Arkansas | U.S. |
Total Housing Units | 3,482, 100% | 1,329,139 | 132,741,033 |
1 Room | 62, 1.78%, see rank | 1.56% | 1.95% |
2 Rooms | 5, 0.14%, see rank | 1.59% | 2.48% |
3 Rooms | 148, 4.25%, see rank | 6.43% | 9.13% |
4 Rooms | 559, 16.05%, see rank | 17.60% | 16.60% |
5 Rooms | 1,306, 37.51%, see rank | 26.27% | 20.41% |
6 Rooms | 619, 17.78%, see rank | 20.63% | 18.06% |
7 Rooms | 411, 11.80%, see rank | 12.10% | 12.27% |
8 Rooms | 234, 6.72%, see rank | 6.91% | 8.48% |
9 Rooms or More | 138, 3.96%, see rank | 6.92% | 10.60% |
Median Rooms | 5.20, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| 71667 Zip Code | Arkansas | U.S. |
Total Housing Units | 3,439, 100% | 1,316,874 | 131,642,457 |
1 Room | 65, 1.89%, see rank | 1.46% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.63% | 2.36% |
3 Rooms | 127, 3.69%, see rank | 6.45% | 8.97% |
4 Rooms | 468, 13.61%, see rank | 17.86% | 16.57% |
5 Rooms | 1,261, 36.67%, see rank | 26.37% | 20.41% |
6 Rooms | 726, 21.11%, see rank | 20.73% | 18.25% |
7 Rooms | 427, 12.42%, see rank | 11.95% | 12.38% |
8 Rooms | 239, 6.95%, see rank | 6.79% | 8.59% |
9 Rooms or More | 126, 3.66%, see rank | 6.75% | 10.52% |
Median Rooms | 5.30, see rank | 5.40 | 5.50 |
US Census 2000 data
| 71667 Zip Code | Arkansas | U.S. |
Total Housing Units | 3,432, 100% | 1,173,043 | 115,904,641 |
1 Room | 22, 0.64%, see rank | 1.04% | 2.20% |
2 Rooms | 100, 2.91%, see rank | 3.08% | 4.81% |
3 Rooms | 210, 6.12%, see rank | 7.73% | 9.84% |
4 Rooms | 619, 18.04%, see rank | 19.61% | 15.97% |
5 Rooms | 1,107, 32.26%, see rank | 28.75% | 20.89% |
6 Rooms | 785, 22.87%, see rank | 20.74% | 18.45% |
7 Rooms | 316, 9.21%, see rank | 10.22% | 12.06% |
8 Rooms | 159, 4.63%, see rank | 4.94% | 8.06% |
9 Rooms or More | 114, 3.32%, see rank | 3.88% | 7.70% |
Median Rooms | 5.20, see rank | 5.10 | 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.