Chatham School District Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Chatham School District | Massachusetts | U.S. |
Total Housing Units | 2,879, 100% | 2,525,694 | 115,226,802 |
Utility Gas | 1,730, 60.09%, see rank | 48.52% | 49.42% |
Bottled, Tank, or LP Gas | 16, 0.56%, see rank | 2.58% | 5.03% |
Electricity | 327, 11.36%, see rank | 13.69% | 35.51% |
Fuel Oil, Kerosene, etc. | 744, 25.84%, see rank | 32.78% | 6.46% |
Coal or Coke | 7, 0.24%, see rank | 0.12% | 0.12% |
Wood | 35, 1.22%, see rank | 1.52% | 2.08% |
Solar Energy | 12, 0.42%, see rank | 0.03% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.53% | 0.43% |
No Fuel Used | 8, 0.28%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Chatham School District | Massachusetts | U.S. |
Total Housing Units | 2,909, 100% | 2,512,552 | 114,235,996 |
Utility Gas | 1,872, 64.35%, see rank | 47.48% | 49.91% |
Bottled, Tank, or LP Gas | 49, 1.68%, see rank | 2.55% | 5.38% |
Electricity | 312, 10.73%, see rank | 13.27% | 34.20% |
Fuel Oil, Kerosene, etc. | 571, 19.63%, see rank | 34.58% | 7.07% |
Coal or Coke | 18, 0.62%, see rank | 0.10% | 0.12% |
Wood | 59, 2.03%, see rank | 1.28% | 1.97% |
Solar Energy | 12, 0.41%, see rank | 0.03% | 0.03% |
Other Fuel | 0, 0.00%, see rank | 0.47% | 0.42% |
No Fuel Used | 16, 0.55%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| Chatham School District | Massachusetts | U.S. |
Total Housing Units | 3,024, 100% | 2,465,654 | 112,611,029 |
Utility Gas | 1,848, 61.11%, see rank | 46.92% | 50.14% |
Bottled, Tank, or LP Gas | 55, 1.82%, see rank | 2.56% | 5.58% |
Electricity | 266, 8.80%, see rank | 12.99% | 33.56% |
Fuel Oil, Kerosene, etc. | 765, 25.30%, see rank | 35.57% | 7.38% |
Coal or Coke | 16, 0.53%, see rank | 0.10% | 0.12% |
Wood | 49, 1.62%, see rank | 1.16% | 1.89% |
Solar Energy | 10, 0.33%, see rank | 0.02% | 0.03% |
Other Fuel | 0, 0.00%, see rank | 0.44% | 0.42% |
No Fuel Used | 15, 0.50%, see rank | 0.23% | 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.