47933 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 47933 Zip Code | Indiana | U.S. |
Total Housing Units | 10,745, 100% | 2,492,183 | 116,211,092 |
Utility Gas | 5,427, 50.51%, see rank | 61.00% | 48.85% |
Bottled, Tank, or LP Gas | 1,810, 16.85%, see rank | 7.17% | 4.86% |
Electricity | 2,850, 26.52%, see rank | 27.77% | 36.68% |
Fuel Oil, Kerosene, etc. | 223, 2.08%, see rank | 0.96% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
Wood | 315, 2.93%, see rank | 2.21% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 26, 0.24%, see rank | 0.46% | 0.47% |
No Fuel Used | 94, 0.87%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| 47933 Zip Code | Indiana | U.S. |
Total Housing Units | 10,745, 100% | 2,478,846 | 115,226,802 |
Utility Gas | 5,471, 50.92%, see rank | 62.04% | 49.42% |
Bottled, Tank, or LP Gas | 1,888, 17.57%, see rank | 7.42% | 5.03% |
Electricity | 2,712, 25.24%, see rank | 26.36% | 35.51% |
Fuel Oil, Kerosene, etc. | 289, 2.69%, see rank | 1.15% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.15% | 0.12% |
Wood | 298, 2.77%, see rank | 2.14% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 35, 0.33%, see rank | 0.49% | 0.43% |
No Fuel Used | 52, 0.48%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 47933 Zip Code | Indiana | U.S. |
Total Housing Units | 10,751, 100% | 2,336,306 | 105,480,101 |
Utility Gas | 5,741, 53.40%, see rank | 64.65% | 51.22% |
Bottled, Tank, or LP Gas | 2,063, 19.19%, see rank | 8.96% | 6.52% |
Electricity | 2,131, 19.82%, see rank | 21.70% | 30.35% |
Fuel Oil, Kerosene, etc. | 669, 6.22%, see rank | 2.58% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
Wood | 118, 1.10%, see rank | 1.42% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 23, 0.21%, see rank | 0.37% | 0.39% |
No Fuel Used | 6, 0.06%, see rank | 0.21% | 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.