44429 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 44429 Zip Code | Ohio | U.S. |
| Total Housing Units | 1,041, 100% | 4,570,015 | 116,211,092 |
| Utility Gas | 814, 78.19%, see rank | 66.89% | 48.85% |
| Bottled, Tank, or LP Gas | 55, 5.28%, see rank | 5.26% | 4.86% |
| Electricity | 120, 11.53%, see rank | 22.05% | 36.68% |
| Fuel Oil, Kerosene, etc. | 19, 1.83%, see rank | 2.60% | 5.86% |
| Coal or Coke | 4, 0.38%, see rank | 0.07% | 0.12% |
| Wood | 4, 0.38%, see rank | 2.02% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 15, 1.44%, see rank | 0.72% | 0.47% |
| No Fuel Used | 10, 0.96%, see rank | 0.37% | 1.00% |
ACS 2008-2012 data
| | 44429 Zip Code | Ohio | U.S. |
| Total Housing Units | 1,163, 100% | 4,555,709 | 115,226,802 |
| Utility Gas | 831, 71.45%, see rank | 67.58% | 49.42% |
| Bottled, Tank, or LP Gas | 90, 7.74%, see rank | 5.46% | 5.03% |
| Electricity | 133, 11.44%, see rank | 21.02% | 35.51% |
| Fuel Oil, Kerosene, etc. | 46, 3.96%, see rank | 2.90% | 6.46% |
| Coal or Coke | 3, 0.26%, see rank | 0.08% | 0.12% |
| Wood | 25, 2.15%, see rank | 1.98% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 25, 2.15%, see rank | 0.67% | 0.43% |
| No Fuel Used | 10, 0.86%, see rank | 0.30% | 0.90% |
US Census 2000 data
| | 44429 Zip Code | Ohio | U.S. |
| Total Housing Units | 1,098, 100% | 4,445,773 | 105,480,101 |
| Utility Gas | 737, 67.12%, see rank | 68.80% | 51.22% |
| Bottled, Tank, or LP Gas | 63, 5.74%, see rank | 6.14% | 6.52% |
| Electricity | 161, 14.66%, see rank | 18.29% | 30.35% |
| Fuel Oil, Kerosene, etc. | 116, 10.56%, see rank | 4.70% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.14% |
| Wood | 14, 1.28%, see rank | 1.07% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 7, 0.64%, see rank | 0.65% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 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.
