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France PPI: manufacturing except energy

France PPI: manufacturing except energy stood at 119.8 in Aug 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the PPI table (Value · Monthly), with a complete series running from Jan 1995 to Aug 2026. The complete series with an interactive chart, free to download.

Source: INSEE – Institut national de la statistique et des études économiques (BDM)Last updated: Curated by Bui Thanh Phuc
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This indicator in the PPI table

Indicator08-202607-202606-202605-202604-202603-202602-202601-202612-202511-2025
All markets
BCXN - Manufacturing except energy (B_C_X_MIG_NRG)119.8119.8119.8119.5118.8118117.5117.4116.8116.8
BCXZ - Manufacturing except food-processing industry and energy (B_C_X_FD_MIG_NRG)117.7117.7117.6117.3116.5115.4114.8114.7113.8113.9

Understanding france PPI: manufacturing except energy

This series isolates manufacturing output prices across all markets while completely stripping out the energy sector, including electricity, gas, steam, and refined petroleum products. By removing energy inputs, the measure reveals core factory gate inflation driven strictly by material fabrication, labor costs, and component assembly rather than volatile crude oil and utility tariff swings. It differs from total manufacturing by eliminating the direct transmission of energy cost shocks, offering a purer view of industrial pricing pressures.

Reading this index requires watching for seasonal manufacturing shutdowns and periodic supply chain disruptions affecting raw material availability. Twelve-month percentage metrics are recommended for accurate trend evaluation, as they eliminate annual holiday factory closures that distort short-term monthly comparisons. Analysts comparing this series to headline inflation metrics must account for the omission of direct energy pricing components.

Frequently asked questions

What is explicitly excluded from this manufacturing measure?
All energy sectors, including utilities and refined petroleum products, are removed from the calculation.
Why is removing energy helpful for industrial analysis?
It prevents volatile crude oil and utility price swings from masking the underlying cost trends of manufactured goods.
How does seasonal factory downtime affect the data?
Scheduled summer and winter holiday closures cause predictable output fluctuations that are best smoothed using annual comparisons.

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