Harrisburg Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Harrisburg Area | Illinois | U.S. |
Total Housing Units | 10,347, 100% | 4,774,275 | 115,226,802 |
Utility Gas | 5,741, 55.48%, see rank | 80.36% | 49.42% |
Bottled, Tank, or LP Gas | 1,288, 12.45%, see rank | 4.10% | 5.03% |
Electricity | 3,013, 29.12%, see rank | 14.02% | 35.51% |
Fuel Oil, Kerosene, etc. | 43, 0.42%, see rank | 0.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
Wood | 204, 1.97%, see rank | 0.49% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 51, 0.49%, see rank | 0.42% | 0.43% |
No Fuel Used | 7, 0.07%, see rank | 0.34% | 0.90% |
ACS 2006-2010 data
| Harrisburg Area | Illinois | U.S. |
Total Housing Units | 10,583, 100% | 4,769,951 | 114,235,996 |
Utility Gas | 6,014, 56.83%, see rank | 80.83% | 49.91% |
Bottled, Tank, or LP Gas | 1,322, 12.49%, see rank | 4.31% | 5.38% |
Electricity | 2,980, 28.16%, see rank | 13.35% | 34.20% |
Fuel Oil, Kerosene, etc. | 39, 0.37%, see rank | 0.31% | 7.07% |
Coal or Coke | 8, 0.08%, see rank | 0.02% | 0.12% |
Wood | 147, 1.39%, see rank | 0.47% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 65, 0.61%, see rank | 0.40% | 0.42% |
No Fuel Used | 8, 0.08%, see rank | 0.30% | 0.90% |
ACS 2005-2009 data
| Harrisburg Area | Illinois | U.S. |
Total Housing Units | 11,315, 100% | 4,749,388 | 112,611,029 |
Utility Gas | 6,365, 56.25%, see rank | 80.88% | 50.14% |
Bottled, Tank, or LP Gas | 1,402, 12.39%, see rank | 4.39% | 5.58% |
Electricity | 3,309, 29.24%, see rank | 13.14% | 33.56% |
Fuel Oil, Kerosene, etc. | 31, 0.27%, see rank | 0.36% | 7.38% |
Coal or Coke | 7, 0.06%, see rank | 0.02% | 0.12% |
Wood | 164, 1.45%, see rank | 0.46% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Fuel | 35, 0.31%, see rank | 0.42% | 0.42% |
No Fuel Used | 2, 0.02%, see rank | 0.31% | 0.88% |
* 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.