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US Industrial Energy Use: End-use energy consumed

US Industrial Energy Use: End-use energy consumed stood at 2,192.71 trillion Btu in Jun 2026, according to EIA (U.S. Energy Information Administration) — Monthly Energy Review. It is one of the indicators in the Energy consumption by end-use sector table (Value · Monthly), with a complete series running from Jan 1973 to Jun 2026. The complete series with an interactive chart, free to download.

Source: EIA (U.S. Energy Information Administration) — Monthly Energy ReviewLast updated: Curated by Bui Thanh Phuc
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This indicator in the Energy consumption by end-use sector table

Indicator06-202605-202604-202603-202602-202601-202612-202511-202510-202509-2025
Industrial2,628.322,628.512,508.872,607.592,483.972,774.772,721.522,6172,657.932,646.01
End-use energy consumed2,192.712,212.012,140.562,225.462,128.512,346.062,286.492,201.152,249.092,215.85
Direct fuel consumption1,881.451,908.961,850.531,934.661,860.142,059.311,996.791,919.931,948.821,912.05

Understanding US Industrial Energy Use: End-use energy consumed

This data series measures the US Industrial Energy Use: End-use energy consumed, tracking the energy actually applied at the point of final consumption within manufacturing, mining, and other industrial facilities, measured in Trillion Btu. It includes fuels combusted directly on-site and electricity delivered for operational machinery, while deliberately separating out the upstream energy losses incurred during the generation and transmission of electricity. This sets it apart from aggregate consumption metrics by isolating the energy units that directly perform mechanical work, heating, or chemical reactions inside industrial plants.

Interpreting the series involves monitoring periodic statistical updates, where initial estimates are subject to routine revisions as more comprehensive plant-level reporting becomes available. Analysts must navigate substantial weather-related seasonality, as manufacturing facilities often adjust their direct fuel and electricity consumption in response to extreme temperatures. To assess underlying shifts in industrial efficiency rather than weather distortions, year-on-year comparisons are widely preferred over sequential month-on-month changes.