Pascagoula Metro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Pascagoula Area | Mississippi | U.S. |
Total Housing Units | 58,211, 100% | 1,087,791 | 115,226,802 |
Utility Gas | 8,848, 15.20%, see rank | 31.59% | 49.42% |
Bottled, Tank, or LP Gas | 2,805, 4.82%, see rank | 13.68% | 5.03% |
Electricity | 45,889, 78.83%, see rank | 52.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 23, 0.04%, see rank | 0.15% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
Wood | 454, 0.78%, see rank | 1.65% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 33, 0.06%, see rank | 0.13% | 0.43% |
No Fuel Used | 159, 0.27%, see rank | 0.19% | 0.90% |
ACS 2006-2010 data
| Pascagoula Area | Mississippi | U.S. |
Total Housing Units | 56,995, 100% | 1,081,052 | 114,235,996 |
Utility Gas | 9,541, 16.74%, see rank | 33.40% | 49.91% |
Bottled, Tank, or LP Gas | 3,664, 6.43%, see rank | 15.31% | 5.38% |
Electricity | 43,245, 75.88%, see rank | 49.02% | 34.20% |
Fuel Oil, Kerosene, etc. | 39, 0.07%, see rank | 0.17% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 353, 0.62%, see rank | 1.74% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.00% | 0.03% |
Other Fuel | 26, 0.05%, see rank | 0.13% | 0.42% |
No Fuel Used | 127, 0.22%, see rank | 0.20% | 0.90% |
ACS 2005-2009 data
| Pascagoula Area | Mississippi | U.S. |
Total Housing Units | 55,396, 100% | 1,085,836 | 112,611,029 |
Utility Gas | 9,961, 17.98%, see rank | 33.95% | 50.14% |
Bottled, Tank, or LP Gas | 4,007, 7.23%, see rank | 16.12% | 5.58% |
Electricity | 40,719, 73.51%, see rank | 47.61% | 33.56% |
Fuel Oil, Kerosene, etc. | 54, 0.10%, see rank | 0.18% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 513, 0.93%, see rank | 1.75% | 1.89% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Fuel | 10, 0.02%, see rank | 0.17% | 0.42% |
No Fuel Used | 132, 0.24%, see rank | 0.20% | 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.