45150 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 45150 Zip Code | Ohio | U.S. |
Total Housing Units | 12,297, 100% | 4,570,015 | 116,211,092 |
Utility Gas | 4,680, 38.06%, see rank | 66.89% | 48.85% |
Bottled, Tank, or LP Gas | 333, 2.71%, see rank | 5.26% | 4.86% |
Electricity | 5,965, 48.51%, see rank | 22.05% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,010, 8.21%, see rank | 2.60% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.12% |
Wood | 122, 0.99%, see rank | 2.02% | 2.12% |
Solar Energy | 13, 0.11%, see rank | 0.02% | 0.05% |
Other Fuel | 112, 0.91%, see rank | 0.72% | 0.47% |
No Fuel Used | 62, 0.50%, see rank | 0.37% | 1.00% |
ACS 2008-2012 data
| 45150 Zip Code | Ohio | U.S. |
Total Housing Units | 12,350, 100% | 4,555,709 | 115,226,802 |
Utility Gas | 4,415, 35.75%, see rank | 67.58% | 49.42% |
Bottled, Tank, or LP Gas | 421, 3.41%, see rank | 5.46% | 5.03% |
Electricity | 6,084, 49.26%, see rank | 21.02% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,216, 9.85%, see rank | 2.90% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
Wood | 119, 0.96%, see rank | 1.98% | 2.08% |
Solar Energy | 11, 0.09%, see rank | 0.02% | 0.04% |
Other Fuel | 55, 0.45%, see rank | 0.67% | 0.43% |
No Fuel Used | 29, 0.23%, see rank | 0.30% | 0.90% |
US Census 2000 data
| 45150 Zip Code | Ohio | U.S. |
Total Housing Units | 11,163, 100% | 4,445,773 | 105,480,101 |
Utility Gas | 4,075, 36.50%, see rank | 68.80% | 51.22% |
Bottled, Tank, or LP Gas | 680, 6.09%, see rank | 6.14% | 6.52% |
Electricity | 4,595, 41.16%, see rank | 18.29% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,529, 13.70%, see rank | 4.70% | 8.97% |
Coal or Coke | 6, 0.05%, see rank | 0.07% | 0.14% |
Wood | 68, 0.61%, see rank | 1.07% | 1.68% |
Solar Energy | 9, 0.08%, see rank | 0.02% | 0.04% |
Other Fuel | 161, 1.44%, see rank | 0.65% | 0.39% |
No Fuel Used | 40, 0.36%, 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.