Scottsburg Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Scottsburg Area | Indiana | U.S. |
Total Housing Units | 9,028, 100% | 2,478,846 | 115,226,802 |
Utility Gas | 2,669, 29.56%, see rank | 62.04% | 49.42% |
Bottled, Tank, or LP Gas | 1,023, 11.33%, see rank | 7.42% | 5.03% |
Electricity | 4,677, 51.81%, see rank | 26.36% | 35.51% |
Fuel Oil, Kerosene, etc. | 168, 1.86%, see rank | 1.15% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.15% | 0.12% |
Wood | 438, 4.85%, see rank | 2.14% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 3, 0.03%, see rank | 0.49% | 0.43% |
No Fuel Used | 50, 0.55%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Scottsburg Area | Indiana | U.S. |
Total Housing Units | 9,271, 100% | 2,465,402 | 114,235,996 |
Utility Gas | 2,659, 28.68%, see rank | 62.95% | 49.91% |
Bottled, Tank, or LP Gas | 1,326, 14.30%, see rank | 7.93% | 5.38% |
Electricity | 4,662, 50.29%, see rank | 24.94% | 34.20% |
Fuel Oil, Kerosene, etc. | 177, 1.91%, see rank | 1.40% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
Wood | 359, 3.87%, see rank | 1.92% | 1.97% |
Solar Energy | 42, 0.45%, see rank | 0.02% | 0.03% |
Other Fuel | 0, 0.00%, see rank | 0.47% | 0.42% |
No Fuel Used | 46, 0.50%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| Scottsburg Area | Indiana | U.S. |
Total Housing Units | 9,624, 100% | 2,468,006 | 112,611,029 |
Utility Gas | 3,022, 31.40%, see rank | 63.12% | 50.14% |
Bottled, Tank, or LP Gas | 1,395, 14.50%, see rank | 8.36% | 5.58% |
Electricity | 4,538, 47.15%, see rank | 24.23% | 33.56% |
Fuel Oil, Kerosene, etc. | 176, 1.83%, see rank | 1.56% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
Wood | 394, 4.09%, see rank | 1.87% | 1.89% |
Solar Energy | 49, 0.51%, see rank | 0.03% | 0.03% |
Other Fuel | 0, 0.00%, see rank | 0.47% | 0.42% |
No Fuel Used | 50, 0.52%, see rank | 0.23% | 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.