30114 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 30114 Zip Code | Georgia | U.S. |
Total Housing Units | 17,961, 100% | 3,540,690 | 116,211,092 |
Utility Gas | 10,521, 58.58%, see rank | 40.63% | 48.85% |
Bottled, Tank, or LP Gas | 1,251, 6.97%, see rank | 5.27% | 4.86% |
Electricity | 5,956, 33.16%, see rank | 52.46% | 36.68% |
Fuel Oil, Kerosene, etc. | 14, 0.08%, see rank | 0.22% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 115, 0.64%, 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 | 104, 0.58%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 30114 Zip Code | Georgia | U.S. |
Total Housing Units | 17,185, 100% | 3,508,477 | 115,226,802 |
Utility Gas | 10,892, 63.38%, see rank | 41.92% | 49.42% |
Bottled, Tank, or LP Gas | 1,232, 7.17%, see rank | 5.83% | 5.03% |
Electricity | 4,912, 28.58%, see rank | 50.64% | 35.51% |
Fuel Oil, Kerosene, etc. | 16, 0.09%, see rank | 0.26% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 62, 0.36%, 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 | 71, 0.41%, see rank | 0.26% | 0.90% |
US Census 2000 data
| 30114 Zip Code | Georgia | U.S. |
Total Housing Units | 7,934, 100% | 3,006,369 | 105,480,101 |
Utility Gas | 4,873, 61.42%, see rank | 48.92% | 51.22% |
Bottled, Tank, or LP Gas | 1,354, 17.07%, see rank | 10.78% | 6.52% |
Electricity | 1,458, 18.38%, see rank | 38.30% | 30.35% |
Fuel Oil, Kerosene, etc. | 94, 1.18%, see rank | 0.62% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 148, 1.87%, see rank | 0.97% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.08% | 0.39% |
No Fuel Used | 7, 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.