Source: U.S. Energy Information Administration, with data from Bloomberg and SNL Energy
Note: Lines represent best-fit fourth-order polynomial equations based on a scatter plot of temperatures observed at major airports in each city, and prices at nearby market hubs. Best-fit lines do not extend to cover the entire range of all temperature and price observations. Spot prices are by delivery date.
Natural gas spot prices fluctuate throughout the year in response to several factors, including weather, production levels, supply interruptions, pipeline constraints, inventory levels, and the availability of other energy sources. Temperature changes, more than any other factor, most frequently correlate with natural gas spot price movements. Natural gas demand and, in turn, natural gas prices in the spot market, will generally rise as temperatures move further away from 60 degrees Fahrenheit, as more natural gas is needed for space heating as temperatures cool and for power generation as temperatures warm.
However, this relationship takes different forms at various locations throughout the United States. The impact of extreme cold is particularly large, reflecting high usage for heating combined with infrastructure constraints in some markets. In the Northeast, prices are particularly sensitive to temperature variations, rising by more than other regions as temperatures cool and high demand exacerbates pipeline constraints, as well as when temperatures warm and rising natural gas demand from electric generators can strain pipelines. Conversely, during more temperate days in the spring and fall, when pipeline capacity is generally sufficient to meet lower demand, the proximity of northeastern hubs to increasing Marcellus Region production results in prices that are lower than those in other parts of the United States.
Source: U.S. Energy Information Administration, with data from Bloomberg and SNL Energy
Note: Lines for Henry Hub (benchmark) and Boston represent best-fit second-order polynomial equations based on a scatter plot of temperatures observed at major airports in each city, and prices at nearby market hubs. New York and Philadelphia's best fit lines represent an exponential equation, which produced a line that better fit the data points. Best-fit lines do not extend to cover the entire range of all temperature and price observations. Spot prices are by delivery date.
Source: U.S. Energy Information Administration, with data from Bloomberg and SNL Energy
Note: Lines represent best-fit second-order polynomial equations based on a scatter plot of temperatures observed at major airports in each city, and prices at nearby market hubs. Best-fit lines do not extend to cover the entire range of all temperature and price observations. Spot prices are by delivery date.
Source: U.S. Energy Information Administration, with data from Bloomberg and SNL Energy
Note: Market hubs by city are as follows: New York—Transco Zone 6-New York, Boston—Algonquin Citygate, Philadelphia—Tetco-M3, New Orleans—Henry Hub. Temperature data comes from major airports in each city. Spot prices are by delivery date.
Principal contributor: Mike Ford