Culpeper Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Culpeper Area | Virginia | U.S. |
Total Housing Units | 15,826, 100% | 3,006,219 | 115,226,802 |
Utility Gas | 4,422, 27.94%, see rank | 34.14% | 49.42% |
Bottled, Tank, or LP Gas | 2,570, 16.24%, see rank | 4.55% | 5.03% |
Electricity | 6,477, 40.93%, see rank | 50.89% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,098, 6.94%, see rank | 7.03% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.10% | 0.12% |
Wood | 1,203, 7.60%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 28, 0.18%, see rank | 0.26% | 0.43% |
No Fuel Used | 28, 0.18%, see rank | 0.25% | 0.90% |
ACS 2006-2010 data
| Culpeper Area | Virginia | U.S. |
Total Housing Units | 15,834, 100% | 2,974,481 | 114,235,996 |
Utility Gas | 4,834, 30.53%, see rank | 34.66% | 49.91% |
Bottled, Tank, or LP Gas | 2,578, 16.28%, see rank | 4.94% | 5.38% |
Electricity | 6,094, 38.49%, see rank | 48.94% | 34.20% |
Fuel Oil, Kerosene, etc. | 1,323, 8.36%, see rank | 8.25% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
Wood | 914, 5.77%, see rank | 2.64% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 57, 0.36%, see rank | 0.23% | 0.42% |
No Fuel Used | 34, 0.21%, see rank | 0.22% | 0.90% |
ACS 2005-2009 data
| Culpeper Area | Virginia | U.S. |
Total Housing Units | 16,590, 100% | 2,936,634 | 112,611,029 |
Utility Gas | 4,794, 28.90%, see rank | 34.70% | 50.14% |
Bottled, Tank, or LP Gas | 2,913, 17.56%, see rank | 5.08% | 5.58% |
Electricity | 6,314, 38.06%, see rank | 48.05% | 33.56% |
Fuel Oil, Kerosene, etc. | 1,523, 9.18%, see rank | 8.99% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.12% | 0.12% |
Wood | 905, 5.46%, see rank | 2.56% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 81, 0.49%, see rank | 0.25% | 0.42% |
No Fuel Used | 60, 0.36%, see rank | 0.22% | 0.88% |
* 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.