71953 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 71953 Zip Code | Arkansas | U.S. |
Total Housing Units | 5,935, 100% | 1,132,488 | 116,211,092 |
Utility Gas | 1,206, 20.32%, see rank | 40.58% | 48.85% |
Bottled, Tank, or LP Gas | 1,008, 16.98%, see rank | 7.51% | 4.86% |
Electricity | 2,813, 47.40%, see rank | 46.89% | 36.68% |
Fuel Oil, Kerosene, etc. | 13, 0.22%, see rank | 0.12% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 797, 13.43%, see rank | 4.39% | 2.12% |
Solar Energy | 8, 0.13%, see rank | 0.02% | 0.05% |
Other Fuel | 57, 0.96%, see rank | 0.30% | 0.47% |
No Fuel Used | 33, 0.56%, see rank | 0.20% | 1.00% |
ACS 2008-2012 data
| 71953 Zip Code | Arkansas | U.S. |
Total Housing Units | 5,883, 100% | 1,128,797 | 115,226,802 |
Utility Gas | 1,107, 18.82%, see rank | 41.49% | 49.42% |
Bottled, Tank, or LP Gas | 1,105, 18.78%, see rank | 8.27% | 5.03% |
Electricity | 2,744, 46.64%, see rank | 45.03% | 35.51% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.14% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 794, 13.50%, see rank | 4.60% | 2.08% |
Solar Energy | 12, 0.20%, see rank | 0.01% | 0.04% |
Other Fuel | 87, 1.48%, see rank | 0.27% | 0.43% |
No Fuel Used | 34, 0.58%, see rank | 0.17% | 0.90% |
US Census 2000 data
| 71953 Zip Code | Arkansas | U.S. |
Total Housing Units | 5,839, 100% | 1,042,696 | 105,480,101 |
Utility Gas | 1,632, 27.95%, see rank | 48.57% | 51.22% |
Bottled, Tank, or LP Gas | 1,462, 25.04%, see rank | 13.52% | 6.52% |
Electricity | 1,933, 33.10%, see rank | 32.68% | 30.35% |
Fuel Oil, Kerosene, etc. | 21, 0.36%, see rank | 0.12% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
Wood | 784, 13.43%, see rank | 4.74% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 7, 0.12%, see rank | 0.17% | 0.39% |
No Fuel Used | 0, 0.00%, see rank | 0.18% | 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.