50105 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 50105 Zip Code | Iowa | U.S. |
| Total Housing Units | 488, 100% | 1,232,228 | 116,211,092 |
| Utility Gas | 383, 78.48%, see rank | 63.45% | 48.85% |
| Bottled, Tank, or LP Gas | 56, 11.48%, see rank | 13.26% | 4.86% |
| Electricity | 46, 9.43%, see rank | 19.45% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.74% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 3, 0.61%, see rank | 1.64% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.93% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.49% | 1.00% |
ACS 2008-2012 data
| | 50105 Zip Code | Iowa | U.S. |
| Total Housing Units | 467, 100% | 1,223,509 | 115,226,802 |
| Utility Gas | 343, 73.45%, see rank | 64.78% | 49.42% |
| Bottled, Tank, or LP Gas | 90, 19.27%, see rank | 13.46% | 5.03% |
| Electricity | 34, 7.28%, see rank | 17.74% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.92% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.71% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.92% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.43% | 0.90% |
US Census 2000 data
| | 50105 Zip Code | Iowa | U.S. |
| Total Housing Units | 377, 100% | 1,149,276 | 105,480,101 |
| Utility Gas | 310, 82.23%, see rank | 67.28% | 51.22% |
| Bottled, Tank, or LP Gas | 35, 9.28%, see rank | 15.67% | 6.52% |
| Electricity | 29, 7.69%, see rank | 12.82% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.25% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 3, 0.80%, see rank | 1.15% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.52% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 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.
