39110 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 39110 Zip Code | Mississippi | U.S. |
Total Housing Units | 13,890, 100% | 1,092,627 | 116,211,092 |
Utility Gas | 8,989, 64.72%, see rank | 30.86% | 48.85% |
Bottled, Tank, or LP Gas | 333, 2.40%, see rank | 12.73% | 4.86% |
Electricity | 4,557, 32.81%, see rank | 54.38% | 36.68% |
Fuel Oil, Kerosene, etc. | 11, 0.08%, see rank | 0.13% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 0, 0.00%, see rank | 1.52% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 0, 0.00%, see rank | 0.13% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 39110 Zip Code | Mississippi | U.S. |
Total Housing Units | 13,292, 100% | 1,087,791 | 115,226,802 |
Utility Gas | 8,624, 64.88%, see rank | 31.59% | 49.42% |
Bottled, Tank, or LP Gas | 439, 3.30%, see rank | 13.68% | 5.03% |
Electricity | 4,208, 31.66%, see rank | 52.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 10, 0.08%, see rank | 0.15% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 11, 0.08%, see rank | 1.65% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.13% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.19% | 0.90% |
US Census 2000 data
| 39110 Zip Code | Mississippi | U.S. |
Total Housing Units | 8,147, 100% | 1,046,434 | 105,480,101 |
Utility Gas | 5,558, 68.22%, see rank | 37.18% | 51.22% |
Bottled, Tank, or LP Gas | 469, 5.76%, see rank | 20.69% | 6.52% |
Electricity | 2,043, 25.08%, see rank | 39.78% | 30.35% |
Fuel Oil, Kerosene, etc. | 8, 0.10%, see rank | 0.19% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 41, 0.50%, see rank | 1.69% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 28, 0.34%, see rank | 0.14% | 0.39% |
No Fuel Used | 0, 0.00%, see rank | 0.30% | 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.