58701 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 58701 Zip Code | North Dakota | U.S. |
Total Housing Units | 13,062, 100% | 292,616 | 116,211,092 |
Utility Gas | 8,149, 62.39%, see rank | 40.94% | 48.85% |
Bottled, Tank, or LP Gas | 557, 4.26%, see rank | 13.27% | 4.86% |
Electricity | 4,034, 30.88%, see rank | 38.79% | 36.68% |
Fuel Oil, Kerosene, etc. | 28, 0.21%, see rank | 3.70% | 5.86% |
Coal or Coke | 62, 0.47%, see rank | 0.36% | 0.12% |
Wood | 3, 0.02%, see rank | 0.57% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 81, 0.62%, see rank | 1.43% | 0.47% |
No Fuel Used | 148, 1.13%, see rank | 0.91% | 1.00% |
ACS 2008-2012 data
| 58701 Zip Code | North Dakota | U.S. |
Total Housing Units | 12,609, 100% | 282,667 | 115,226,802 |
Utility Gas | 8,706, 69.05%, see rank | 41.57% | 49.42% |
Bottled, Tank, or LP Gas | 634, 5.03%, see rank | 13.65% | 5.03% |
Electricity | 2,933, 23.26%, see rank | 37.05% | 35.51% |
Fuel Oil, Kerosene, etc. | 30, 0.24%, see rank | 4.58% | 6.46% |
Coal or Coke | 66, 0.52%, see rank | 0.37% | 0.12% |
Wood | 14, 0.11%, see rank | 0.60% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 95, 0.75%, see rank | 1.38% | 0.43% |
No Fuel Used | 131, 1.04%, see rank | 0.78% | 0.90% |
US Census 2000 data
| 58701 Zip Code | North Dakota | U.S. |
Total Housing Units | 10,783, 100% | 257,152 | 105,480,101 |
Utility Gas | 8,119, 75.29%, see rank | 43.07% | 51.22% |
Bottled, Tank, or LP Gas | 761, 7.06%, see rank | 15.71% | 6.52% |
Electricity | 1,509, 13.99%, see rank | 28.81% | 30.35% |
Fuel Oil, Kerosene, etc. | 95, 0.88%, see rank | 9.18% | 8.97% |
Coal or Coke | 30, 0.28%, see rank | 0.73% | 0.14% |
Wood | 39, 0.36%, see rank | 0.53% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 140, 1.30%, see rank | 1.29% | 0.39% |
No Fuel Used | 90, 0.83%, see rank | 0.67% | 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.