39350 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 39350 Zip Code | Mississippi | U.S. |
Total Housing Units | 9,301, 100% | 1,092,627 | 116,211,092 |
Utility Gas | 1,685, 18.12%, see rank | 30.86% | 48.85% |
Bottled, Tank, or LP Gas | 2,322, 24.97%, see rank | 12.73% | 4.86% |
Electricity | 4,806, 51.67%, see rank | 54.38% | 36.68% |
Fuel Oil, Kerosene, etc. | 31, 0.33%, see rank | 0.13% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 424, 4.56%, see rank | 1.52% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 15, 0.16%, see rank | 0.13% | 0.47% |
No Fuel Used | 18, 0.19%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 39350 Zip Code | Mississippi | U.S. |
Total Housing Units | 8,876, 100% | 1,087,791 | 115,226,802 |
Utility Gas | 1,538, 17.33%, see rank | 31.59% | 49.42% |
Bottled, Tank, or LP Gas | 2,133, 24.03%, see rank | 13.68% | 5.03% |
Electricity | 4,818, 54.28%, see rank | 52.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 34, 0.38%, see rank | 0.15% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 315, 3.55%, see rank | 1.65% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 38, 0.43%, see rank | 0.13% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.19% | 0.90% |
US Census 2000 data
| 39350 Zip Code | Mississippi | U.S. |
Total Housing Units | 8,229, 100% | 1,046,434 | 105,480,101 |
Utility Gas | 1,683, 20.45%, see rank | 37.18% | 51.22% |
Bottled, Tank, or LP Gas | 2,928, 35.58%, see rank | 20.69% | 6.52% |
Electricity | 3,243, 39.41%, see rank | 39.78% | 30.35% |
Fuel Oil, Kerosene, etc. | 6, 0.07%, see rank | 0.19% | 8.97% |
Coal or Coke | 8, 0.10%, see rank | 0.01% | 0.14% |
Wood | 313, 3.80%, see rank | 1.69% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 7, 0.09%, see rank | 0.14% | 0.39% |
No Fuel Used | 41, 0.50%, 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.