73095 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 73095 Zip Code | Oklahoma | U.S. |
| Total Housing Units | 759, 100% | 1,450,117 | 116,211,092 |
| Utility Gas | 138, 18.18%, see rank | 54.03% | 48.85% |
| Bottled, Tank, or LP Gas | 81, 10.67%, see rank | 7.25% | 4.86% |
| Electricity | 493, 64.95%, see rank | 35.66% | 36.68% |
| Fuel Oil, Kerosene, etc. | 12, 1.58%, see rank | 0.12% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 21, 2.77%, see rank | 1.96% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 7, 0.92%, see rank | 0.80% | 0.47% |
| No Fuel Used | 7, 0.92%, see rank | 0.17% | 1.00% |
ACS 2008-2012 data
| | 73095 Zip Code | Oklahoma | U.S. |
| Total Housing Units | 761, 100% | 1,439,292 | 115,226,802 |
| Utility Gas | 203, 26.68%, see rank | 55.68% | 49.42% |
| Bottled, Tank, or LP Gas | 167, 21.94%, see rank | 7.77% | 5.03% |
| Electricity | 337, 44.28%, see rank | 33.47% | 35.51% |
| Fuel Oil, Kerosene, etc. | 13, 1.71%, see rank | 0.11% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 34, 4.47%, see rank | 2.00% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
| Other Fuel | 7, 0.92%, see rank | 0.84% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.12% | 0.90% |
US Census 2000 data
| | 73095 Zip Code | Oklahoma | U.S. |
| Total Housing Units | 677, 100% | 1,342,293 | 105,480,101 |
| Utility Gas | 247, 36.48%, see rank | 60.32% | 51.22% |
| Bottled, Tank, or LP Gas | 198, 29.25%, see rank | 11.05% | 6.52% |
| Electricity | 214, 31.61%, see rank | 26.25% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.08% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 18, 2.66%, see rank | 1.81% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.29% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.69% |
* 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.
