Hobbs Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Hobbs Area | New Mexico | U.S. |
| Total Housing Units | 24,993, 100% | 907,233 | 132,741,033 |
| No Bedroom | 1,020, 4.08%, see rank | 2.87% | 2.17% |
| 1 Bedroom | 1,258, 5.03%, see rank | 9.24% | 11.16% |
| 2 Bedrooms | 6,642, 26.58%, see rank | 25.66% | 26.69% |
| 3 Bedrooms | 13,058, 52.25%, see rank | 46.23% | 39.70% |
| 4 Bedrooms | 2,804, 11.22%, see rank | 13.82% | 16.05% |
| 5 or More Bedrooms | 211, 0.84%, see rank | 2.18% | 4.22% |
ACS 2008-2012 data
| | Hobbs Area | New Mexico | U.S. |
| Total Housing Units | 24,907, 100% | 900,504 | 131,642,457 |
| No Bedroom | 743, 2.98%, see rank | 2.84% | 2.16% |
| 1 Bedroom | 1,544, 6.20%, see rank | 9.40% | 11.12% |
| 2 Bedrooms | 6,772, 27.19%, see rank | 25.91% | 26.85% |
| 3 Bedrooms | 12,525, 50.29%, see rank | 45.90% | 39.76% |
| 4 Bedrooms | 2,946, 11.83%, see rank | 13.77% | 15.95% |
| 5 or More Bedrooms | 377, 1.51%, see rank | 2.18% | 4.16% |
ACS 2006-2010 data
| | Hobbs Area | New Mexico | U.S. |
| Total Housing Units | 24,693, 100% | 887,890 | 130,038,080 |
| No Bedroom | 464, 1.88%, see rank | 2.50% | 1.84% |
| 1 Bedroom | 1,358, 5.50%, see rank | 9.70% | 11.32% |
| 2 Bedrooms | 6,782, 27.47%, see rank | 26.15% | 27.20% |
| 3 Bedrooms | 13,273, 53.75%, see rank | 45.97% | 39.80% |
| 4 Bedrooms | 2,410, 9.76%, see rank | 13.57% | 15.80% |
| 5 or More Bedrooms | 406, 1.64%, see rank | 2.12% | 4.04% |
ACS 2005-2009 data
| | Hobbs Area | New Mexico | U.S. |
| Total Housing Units | 24,240, 100% | 862,521 | 127,699,712 |
| No Bedroom | 302, 1.25%, see rank | 2.40% | 1.66% |
| 1 Bedroom | 1,452, 5.99%, see rank | 9.98% | 11.48% |
| 2 Bedrooms | 6,758, 27.88%, see rank | 26.31% | 27.48% |
| 3 Bedrooms | 12,915, 53.28%, see rank | 46.09% | 39.79% |
| 4 Bedrooms | 2,347, 9.68%, see rank | 13.12% | 15.64% |
| 5 or More Bedrooms | 466, 1.92%, see rank | 2.11% | 3.94% |
* 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.
