Indianola, OK Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | Indianola, OK | Oklahoma | U.S. |
| Total Housing Units | 11, 100% | 1,680,457 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.40% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.80% | 2.48% |
| 3 Rooms | 11, 100.00%, see rank | 7.49% | 9.13% |
| 4 Rooms | 0, 0.00%, see rank | 16.19% | 16.60% |
| 5 Rooms | 0, 0.00%, see rank | 26.06% | 20.41% |
| 6 Rooms | 0, 0.00%, see rank | 21.02% | 18.06% |
| 7 Rooms | 0, 0.00%, see rank | 12.20% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 6.93% | 8.48% |
| 9 Rooms or More | 0, 0.00%, see rank | 6.91% | 10.60% |
| Median Rooms | 0.00, see rank | 5.40 | 5.50 |
ACS 2008-2012 data
| | Indianola, OK | Oklahoma | U.S. |
| Total Housing Units | 26, 100% | 1,664,404 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.40% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.72% | 2.36% |
| 3 Rooms | 15, 57.69%, see rank | 7.44% | 8.97% |
| 4 Rooms | 0, 0.00%, see rank | 16.15% | 16.57% |
| 5 Rooms | 0, 0.00%, see rank | 26.26% | 20.41% |
| 6 Rooms | 0, 0.00%, see rank | 21.26% | 18.25% |
| 7 Rooms | 0, 0.00%, see rank | 12.16% | 12.38% |
| 8 Rooms | 0, 0.00%, see rank | 6.76% | 8.59% |
| 9 Rooms or More | 11, 42.31%, see rank | 6.84% | 10.52% |
| Median Rooms | 3.40, see rank | 5.40 | 5.50 |
ACS 2006-2010 data
| | Indianola, OK | Oklahoma | U.S. |
| Total Housing Units | 15, 100% | 1,644,228 | 130,038,080 |
| 1 Room | 0, 0.00%, see rank | 1.03% | 1.59% |
| 2 Rooms | 0, 0.00%, see rank | 1.85% | 2.62% |
| 3 Rooms | 0, 0.00%, see rank | 7.59% | 9.02% |
| 4 Rooms | 0, 0.00%, see rank | 16.92% | 16.85% |
| 5 Rooms | 0, 0.00%, see rank | 27.09% | 20.93% |
| 6 Rooms | 0, 0.00%, see rank | 21.63% | 18.56% |
| 7 Rooms | 0, 0.00%, see rank | 11.76% | 12.38% |
| 8 Rooms | 0, 0.00%, see rank | 6.23% | 8.39% |
| 9 Rooms or More | 15, 100.00%, see rank | 5.90% | 9.65% |
| Median Rooms | 9.00, see rank | 5.30 | 5.50 |
* 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.
