60615 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 60615 Zip Code | Illinois | U.S. |
Total Housing Units | 19,942, 100% | 4,778,633 | 116,211,092 |
Utility Gas | 13,866, 69.53%, see rank | 79.46% | 48.85% |
Bottled, Tank, or LP Gas | 284, 1.42%, see rank | 4.08% | 4.86% |
Electricity | 4,093, 20.52%, see rank | 14.82% | 36.68% |
Fuel Oil, Kerosene, etc. | 277, 1.39%, see rank | 0.20% | 5.86% |
Coal or Coke | 14, 0.07%, see rank | 0.02% | 0.12% |
Wood | 6, 0.03%, see rank | 0.50% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 642, 3.22%, see rank | 0.45% | 0.47% |
No Fuel Used | 760, 3.81%, see rank | 0.46% | 1.00% |
ACS 2008-2012 data
| 60615 Zip Code | Illinois | U.S. |
Total Housing Units | 20,099, 100% | 4,774,275 | 115,226,802 |
Utility Gas | 14,982, 74.54%, see rank | 80.36% | 49.42% |
Bottled, Tank, or LP Gas | 260, 1.29%, see rank | 4.10% | 5.03% |
Electricity | 3,599, 17.91%, see rank | 14.02% | 35.51% |
Fuel Oil, Kerosene, etc. | 330, 1.64%, see rank | 0.25% | 6.46% |
Coal or Coke | 24, 0.12%, see rank | 0.02% | 0.12% |
Wood | 0, 0.00%, see rank | 0.49% | 2.08% |
Solar Energy | 7, 0.03%, see rank | 0.01% | 0.04% |
Other Fuel | 562, 2.80%, see rank | 0.42% | 0.43% |
No Fuel Used | 335, 1.67%, see rank | 0.34% | 0.90% |
US Census 2000 data
| 60615 Zip Code | Illinois | U.S. |
Total Housing Units | 21,274, 100% | 4,591,779 | 105,480,101 |
Utility Gas | 14,527, 68.29%, see rank | 80.54% | 51.22% |
Bottled, Tank, or LP Gas | 854, 4.01%, see rank | 4.99% | 6.52% |
Electricity | 4,030, 18.94%, see rank | 12.43% | 30.35% |
Fuel Oil, Kerosene, etc. | 421, 1.98%, see rank | 0.62% | 8.97% |
Coal or Coke | 49, 0.23%, see rank | 0.02% | 0.14% |
Wood | 0, 0.00%, see rank | 0.37% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 546, 2.57%, see rank | 0.55% | 0.39% |
No Fuel Used | 847, 3.98%, see rank | 0.48% | 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.