74464 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 74464 Zip Code | Oklahoma | U.S. |
Total Housing Units | 10,805, 100% | 1,450,117 | 116,211,092 |
Utility Gas | 4,804, 44.46%, see rank | 54.03% | 48.85% |
Bottled, Tank, or LP Gas | 628, 5.81%, see rank | 7.25% | 4.86% |
Electricity | 4,556, 42.17%, see rank | 35.66% | 36.68% |
Fuel Oil, Kerosene, etc. | 130, 1.20%, see rank | 0.12% | 5.86% |
Coal or Coke | 2, 0.02%, see rank | 0.00% | 0.12% |
Wood | 585, 5.41%, see rank | 1.96% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 70, 0.65%, see rank | 0.80% | 0.47% |
No Fuel Used | 30, 0.28%, see rank | 0.17% | 1.00% |
ACS 2008-2012 data
| 74464 Zip Code | Oklahoma | U.S. |
Total Housing Units | 10,722, 100% | 1,439,292 | 115,226,802 |
Utility Gas | 5,223, 48.71%, see rank | 55.68% | 49.42% |
Bottled, Tank, or LP Gas | 727, 6.78%, see rank | 7.77% | 5.03% |
Electricity | 3,839, 35.80%, see rank | 33.47% | 35.51% |
Fuel Oil, Kerosene, etc. | 79, 0.74%, see rank | 0.11% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 591, 5.51%, see rank | 2.00% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
Other Fuel | 233, 2.17%, see rank | 0.84% | 0.43% |
No Fuel Used | 30, 0.28%, see rank | 0.12% | 0.90% |
US Census 2000 data
| 74464 Zip Code | Oklahoma | U.S. |
Total Housing Units | 10,423, 100% | 1,342,293 | 105,480,101 |
Utility Gas | 5,550, 53.25%, see rank | 60.32% | 51.22% |
Bottled, Tank, or LP Gas | 1,411, 13.54%, see rank | 11.05% | 6.52% |
Electricity | 2,905, 27.87%, see rank | 26.25% | 30.35% |
Fuel Oil, Kerosene, etc. | 6, 0.06%, see rank | 0.08% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
Wood | 540, 5.18%, see rank | 1.81% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 2, 0.02%, see rank | 0.29% | 0.39% |
No Fuel Used | 9, 0.09%, 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.