30721 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 30721 Zip Code | Georgia | U.S. |
Total Housing Units | 16,844, 100% | 3,540,690 | 116,211,092 |
Utility Gas | 1,568, 9.31%, see rank | 40.63% | 48.85% |
Bottled, Tank, or LP Gas | 1,361, 8.08%, see rank | 5.27% | 4.86% |
Electricity | 13,491, 80.09%, see rank | 52.46% | 36.68% |
Fuel Oil, Kerosene, etc. | 94, 0.56%, see rank | 0.22% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 227, 1.35%, see rank | 0.99% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
Other Fuel | 54, 0.32%, see rank | 0.08% | 0.47% |
No Fuel Used | 49, 0.29%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 30721 Zip Code | Georgia | U.S. |
Total Housing Units | 16,692, 100% | 3,508,477 | 115,226,802 |
Utility Gas | 2,186, 13.10%, see rank | 41.92% | 49.42% |
Bottled, Tank, or LP Gas | 1,431, 8.57%, see rank | 5.83% | 5.03% |
Electricity | 12,702, 76.10%, see rank | 50.64% | 35.51% |
Fuel Oil, Kerosene, etc. | 136, 0.81%, see rank | 0.26% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 185, 1.11%, see rank | 0.99% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 10, 0.06%, see rank | 0.08% | 0.43% |
No Fuel Used | 42, 0.25%, see rank | 0.26% | 0.90% |
US Census 2000 data
| 30721 Zip Code | Georgia | U.S. |
Total Housing Units | 13,618, 100% | 3,006,369 | 105,480,101 |
Utility Gas | 2,251, 16.53%, see rank | 48.92% | 51.22% |
Bottled, Tank, or LP Gas | 2,187, 16.06%, see rank | 10.78% | 6.52% |
Electricity | 8,617, 63.28%, see rank | 38.30% | 30.35% |
Fuel Oil, Kerosene, etc. | 291, 2.14%, see rank | 0.62% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 225, 1.65%, 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 | 47, 0.35%, 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.