50633 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 50633 Zip Code | Iowa | U.S. |
| Total Housing Units | 159, 100% | 1,232,228 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 63.45% | 48.85% |
| Bottled, Tank, or LP Gas | 83, 52.20%, see rank | 13.26% | 4.86% |
| Electricity | 51, 32.08%, see rank | 19.45% | 36.68% |
| Fuel Oil, Kerosene, etc. | 23, 14.47%, see rank | 0.74% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 2, 1.26%, 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
| | 50633 Zip Code | Iowa | U.S. |
| Total Housing Units | 155, 100% | 1,223,509 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 64.78% | 49.42% |
| Bottled, Tank, or LP Gas | 82, 52.90%, see rank | 13.46% | 5.03% |
| Electricity | 37, 23.87%, see rank | 17.74% | 35.51% |
| Fuel Oil, Kerosene, etc. | 31, 20.00%, see rank | 0.92% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 2, 1.29%, see rank | 1.71% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 3, 1.94%, see rank | 0.92% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.43% | 0.90% |
US Census 2000 data
| | 50633 Zip Code | Iowa | U.S. |
| Total Housing Units | 161, 100% | 1,149,276 | 105,480,101 |
| Utility Gas | 2, 1.24%, see rank | 67.28% | 51.22% |
| Bottled, Tank, or LP Gas | 109, 67.70%, see rank | 15.67% | 6.52% |
| Electricity | 18, 11.18%, see rank | 12.82% | 30.35% |
| Fuel Oil, Kerosene, etc. | 32, 19.88%, see rank | 2.25% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 0, 0.00%, 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.
