30683 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 30683 Zip Code | Georgia | U.S. |
| Total Housing Units | 2,654, 100% | 3,540,690 | 116,211,092 |
| Utility Gas | 476, 17.94%, see rank | 40.63% | 48.85% |
| Bottled, Tank, or LP Gas | 84, 3.17%, see rank | 5.27% | 4.86% |
| Electricity | 2,030, 76.49%, see rank | 52.46% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.22% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 64, 2.41%, see rank | 0.99% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.08% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| | 30683 Zip Code | Georgia | U.S. |
| Total Housing Units | 2,611, 100% | 3,508,477 | 115,226,802 |
| Utility Gas | 497, 19.03%, see rank | 41.92% | 49.42% |
| Bottled, Tank, or LP Gas | 143, 5.48%, see rank | 5.83% | 5.03% |
| Electricity | 1,937, 74.19%, see rank | 50.64% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.26% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 34, 1.30%, see rank | 0.99% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.08% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.26% | 0.90% |
US Census 2000 data
| | 30683 Zip Code | Georgia | U.S. |
| Total Housing Units | 2,152, 100% | 3,006,369 | 105,480,101 |
| Utility Gas | 572, 26.58%, see rank | 48.92% | 51.22% |
| Bottled, Tank, or LP Gas | 317, 14.73%, see rank | 10.78% | 6.52% |
| Electricity | 1,101, 51.16%, see rank | 38.30% | 30.35% |
| Fuel Oil, Kerosene, etc. | 72, 3.35%, see rank | 0.62% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 83, 3.86%, see rank | 0.97% | 1.68% |
| Solar Energy | 3, 0.14%, see rank | 0.02% | 0.04% |
| Other Fuel | 2, 0.09%, see rank | 0.08% | 0.39% |
| No Fuel Used | 2, 0.09%, 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.
