Cotulla Independent School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Cotulla Independent School District | Texas | U.S. |
Total Housing Units | 2,569, 100% | 10,187,189 | 132,741,033 |
No Bedroom | 86, 3.35%, see rank | 1.85% | 2.17% |
1 Bedroom | 401, 15.61%, see rank | 12.69% | 11.16% |
2 Bedrooms | 689, 26.82%, see rank | 23.33% | 26.69% |
3 Bedrooms | 1,230, 47.88%, see rank | 41.71% | 39.70% |
4 Bedrooms | 123, 4.79%, see rank | 17.12% | 16.05% |
5 or More Bedrooms | 40, 1.56%, see rank | 3.30% | 4.22% |
ACS 2008-2012 data
| Cotulla Independent School District | Texas | U.S. |
Total Housing Units | 2,456, 100% | 9,978,137 | 131,642,457 |
No Bedroom | 111, 4.52%, see rank | 1.80% | 2.16% |
1 Bedroom | 313, 12.74%, see rank | 12.56% | 11.12% |
2 Bedrooms | 701, 28.54%, see rank | 23.59% | 26.85% |
3 Bedrooms | 1,078, 43.89%, see rank | 42.06% | 39.76% |
4 Bedrooms | 194, 7.90%, see rank | 16.79% | 15.95% |
5 or More Bedrooms | 59, 2.40%, see rank | 3.20% | 4.16% |
ACS 2006-2010 data
| Cotulla Independent School District | Texas | U.S. |
Total Housing Units | 2,531, 100% | 9,718,470 | 130,038,080 |
No Bedroom | 95, 3.75%, see rank | 1.41% | 1.84% |
1 Bedroom | 257, 10.15%, see rank | 12.89% | 11.32% |
2 Bedrooms | 935, 36.94%, see rank | 24.18% | 27.20% |
3 Bedrooms | 986, 38.96%, see rank | 42.18% | 39.80% |
4 Bedrooms | 249, 9.84%, see rank | 16.35% | 15.80% |
5 or More Bedrooms | 9, 0.36%, see rank | 2.99% | 4.04% |
ACS 2005-2009 data
| Cotulla Independent School District | Texas | U.S. |
Total Housing Units | 2,279, 100% | 9,407,692 | 127,699,712 |
No Bedroom | 46, 2.02%, see rank | 1.25% | 1.66% |
1 Bedroom | 200, 8.78%, see rank | 13.31% | 11.48% |
2 Bedrooms | 938, 41.16%, see rank | 24.82% | 27.48% |
3 Bedrooms | 849, 37.25%, see rank | 41.94% | 39.79% |
4 Bedrooms | 232, 10.18%, see rank | 15.89% | 15.64% |
5 or More Bedrooms | 14, 0.61%, see rank | 2.79% | 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.