38957 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 38957 Zip Code | Mississippi | U.S. |
| Total Housing Units | 244, 100% | 1,092,627 | 116,211,092 |
| Utility Gas | 104, 42.62%, see rank | 30.86% | 48.85% |
| Bottled, Tank, or LP Gas | 72, 29.51%, see rank | 12.73% | 4.86% |
| Electricity | 68, 27.87%, see rank | 54.38% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, 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
| | 38957 Zip Code | Mississippi | U.S. |
| Total Housing Units | 234, 100% | 1,087,791 | 115,226,802 |
| Utility Gas | 95, 40.60%, see rank | 31.59% | 49.42% |
| Bottled, Tank, or LP Gas | 114, 48.72%, see rank | 13.68% | 5.03% |
| Electricity | 25, 10.68%, see rank | 52.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.15% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, 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
| | 38957 Zip Code | Mississippi | U.S. |
| Total Housing Units | 332, 100% | 1,046,434 | 105,480,101 |
| Utility Gas | 164, 49.40%, see rank | 37.18% | 51.22% |
| Bottled, Tank, or LP Gas | 69, 20.78%, see rank | 20.69% | 6.52% |
| Electricity | 85, 25.60%, see rank | 39.78% | 30.35% |
| Fuel Oil, Kerosene, etc. | 3, 0.90%, see rank | 0.19% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 9, 2.71%, see rank | 1.69% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 2, 0.60%, 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.
