74432 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 74432 Zip Code | Oklahoma | U.S. |
Total Housing Units | 4,367, 100% | 1,450,117 | 116,211,092 |
Utility Gas | 1,117, 25.58%, see rank | 54.03% | 48.85% |
Bottled, Tank, or LP Gas | 1,012, 23.17%, see rank | 7.25% | 4.86% |
Electricity | 1,946, 44.56%, see rank | 35.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.12% | 5.86% |
Coal or Coke | 4, 0.09%, see rank | 0.00% | 0.12% |
Wood | 204, 4.67%, see rank | 1.96% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 84, 1.92%, see rank | 0.80% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.17% | 1.00% |
ACS 2008-2012 data
| 74432 Zip Code | Oklahoma | U.S. |
Total Housing Units | 4,144, 100% | 1,439,292 | 115,226,802 |
Utility Gas | 1,102, 26.59%, see rank | 55.68% | 49.42% |
Bottled, Tank, or LP Gas | 1,179, 28.45%, see rank | 7.77% | 5.03% |
Electricity | 1,521, 36.70%, see rank | 33.47% | 35.51% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.11% | 6.46% |
Coal or Coke | 18, 0.43%, see rank | 0.00% | 0.12% |
Wood | 195, 4.71%, see rank | 2.00% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
Other Fuel | 129, 3.11%, see rank | 0.84% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.12% | 0.90% |
US Census 2000 data
| 74432 Zip Code | Oklahoma | U.S. |
Total Housing Units | 3,930, 100% | 1,342,293 | 105,480,101 |
Utility Gas | 1,200, 30.53%, see rank | 60.32% | 51.22% |
Bottled, Tank, or LP Gas | 1,357, 34.53%, see rank | 11.05% | 6.52% |
Electricity | 1,085, 27.61%, see rank | 26.25% | 30.35% |
Fuel Oil, Kerosene, etc. | 14, 0.36%, see rank | 0.08% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
Wood | 218, 5.55%, see rank | 1.81% | 1.68% |
Solar Energy | 10, 0.25%, see rank | 0.02% | 0.04% |
Other Fuel | 41, 1.04%, see rank | 0.29% | 0.39% |
No Fuel Used | 5, 0.13%, 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.