Baldwin Public School District 29 Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Baldwin Public School District 29 | North Dakota | U.S. |
Total Housing Units | 184, 100% | 282,667 | 115,226,802 |
Utility Gas | 11, 5.98%, see rank | 41.57% | 49.42% |
Bottled, Tank, or LP Gas | 93, 50.54%, see rank | 13.65% | 5.03% |
Electricity | 67, 36.41%, see rank | 37.05% | 35.51% |
Fuel Oil, Kerosene, etc. | 6, 3.26%, see rank | 4.58% | 6.46% |
Coal or Coke | 3, 1.63%, see rank | 0.37% | 0.12% |
Wood | 0, 0.00%, see rank | 0.60% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 4, 2.17%, see rank | 1.38% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.78% | 0.90% |
ACS 2006-2010 data
| Baldwin Public School District 29 | North Dakota | U.S. |
Total Housing Units | 155, 100% | 276,642 | 114,235,996 |
Utility Gas | 11, 7.10%, see rank | 41.60% | 49.91% |
Bottled, Tank, or LP Gas | 89, 57.42%, see rank | 14.09% | 5.38% |
Electricity | 41, 26.45%, see rank | 35.65% | 34.20% |
Fuel Oil, Kerosene, etc. | 4, 2.58%, see rank | 5.52% | 7.07% |
Coal or Coke | 4, 2.58%, see rank | 0.42% | 0.12% |
Wood | 0, 0.00%, see rank | 0.63% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 6, 3.87%, see rank | 1.28% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.79% | 0.90% |
ACS 2005-2009 data
| Baldwin Public School District 29 | North Dakota | U.S. |
Total Housing Units | 130, 100% | 273,035 | 112,611,029 |
Utility Gas | 11, 8.46%, see rank | 40.97% | 50.14% |
Bottled, Tank, or LP Gas | 91, 70.00%, see rank | 14.28% | 5.58% |
Electricity | 14, 10.77%, see rank | 35.48% | 33.56% |
Fuel Oil, Kerosene, etc. | 4, 3.08%, see rank | 6.00% | 7.38% |
Coal or Coke | 5, 3.85%, see rank | 0.46% | 0.12% |
Wood | 0, 0.00%, see rank | 0.59% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
Other Fuel | 5, 3.85%, see rank | 1.38% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.83% | 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.