Preston Community School District Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Preston Community School District | Iowa | U.S. |
Total Housing Units | 765, 100% | 1,223,509 | 115,226,802 |
Utility Gas | 347, 45.36%, see rank | 64.78% | 49.42% |
Bottled, Tank, or LP Gas | 195, 25.49%, see rank | 13.46% | 5.03% |
Electricity | 84, 10.98%, see rank | 17.74% | 35.51% |
Fuel Oil, Kerosene, etc. | 39, 5.10%, see rank | 0.92% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 74, 9.67%, see rank | 1.71% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 26, 3.40%, see rank | 0.92% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.43% | 0.90% |
ACS 2006-2010 data
| Preston Community School District | Iowa | U.S. |
Total Housing Units | 711, 100% | 1,215,954 | 114,235,996 |
Utility Gas | 348, 48.95%, see rank | 65.81% | 49.91% |
Bottled, Tank, or LP Gas | 195, 27.43%, see rank | 13.81% | 5.38% |
Electricity | 65, 9.14%, see rank | 16.24% | 34.20% |
Fuel Oil, Kerosene, etc. | 29, 4.08%, see rank | 1.10% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 52, 7.31%, see rank | 1.63% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 22, 3.09%, see rank | 0.96% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.40% | 0.90% |
ACS 2005-2009 data
| Preston Community School District | Iowa | U.S. |
Total Housing Units | 726, 100% | 1,215,970 | 112,611,029 |
Utility Gas | 342, 47.11%, see rank | 66.04% | 50.14% |
Bottled, Tank, or LP Gas | 207, 28.51%, see rank | 14.12% | 5.58% |
Electricity | 78, 10.74%, see rank | 15.68% | 33.56% |
Fuel Oil, Kerosene, etc. | 28, 3.86%, see rank | 1.29% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 56, 7.71%, see rank | 1.60% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 15, 2.07%, see rank | 0.88% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.35% | 0.88% |
* 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.