28056 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 28056 Zip Code | North Carolina | U.S. |
Total Housing Units | 11,834, 100% | 3,742,514 | 116,211,092 |
Utility Gas | 5,490, 46.39%, see rank | 24.68% | 48.85% |
Bottled, Tank, or LP Gas | 345, 2.92%, see rank | 8.00% | 4.86% |
Electricity | 5,578, 47.14%, see rank | 60.27% | 36.68% |
Fuel Oil, Kerosene, etc. | 179, 1.51%, see rank | 4.34% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 169, 1.43%, see rank | 2.17% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 44, 0.37%, see rank | 0.15% | 0.47% |
No Fuel Used | 29, 0.25%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 28056 Zip Code | North Carolina | U.S. |
Total Housing Units | 11,958, 100% | 3,693,221 | 115,226,802 |
Utility Gas | 5,557, 46.47%, see rank | 24.97% | 49.42% |
Bottled, Tank, or LP Gas | 384, 3.21%, see rank | 8.90% | 5.03% |
Electricity | 5,715, 47.79%, see rank | 58.26% | 35.51% |
Fuel Oil, Kerosene, etc. | 166, 1.39%, see rank | 5.24% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 113, 0.94%, see rank | 2.16% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 23, 0.19%, see rank | 0.14% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.29% | 0.90% |
US Census 2000 data
| 28056 Zip Code | North Carolina | U.S. |
Total Housing Units | 10,167, 100% | 3,132,013 | 105,480,101 |
Utility Gas | 4,691, 46.14%, see rank | 24.19% | 51.22% |
Bottled, Tank, or LP Gas | 469, 4.61%, see rank | 12.59% | 6.52% |
Electricity | 4,294, 42.23%, see rank | 48.81% | 30.35% |
Fuel Oil, Kerosene, etc. | 557, 5.48%, see rank | 11.76% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 118, 1.16%, see rank | 2.10% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.21% | 0.39% |
No Fuel Used | 38, 0.37%, see rank | 0.28% | 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.