France greenhouse gas emissions (seasonally adjusted)
France greenhouse gas emissions (seasonally adjusted) stood at 100,428.67 thousand tonnes CO2 eq in Q1 2026, according to Eurostat – quarterly greenhouse gas emissions accounts (env_ac_aigg_q). It is one of the indicators in the Quarterly greenhouse gas emissions table (Value · Quarterly), with a complete series running from Q1 2010 to Q1 2026. The complete series with an interactive chart, free to download.
This indicator in the Quarterly greenhouse gas emissions table
| Indicator | Q1-2026 | Q4-2025 | Q3-2025 | Q2-2025 | Q1-2025 | Q4-2024 | Q3-2024 | Q2-2024 | Q1-2024 | Q4-2023 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Emissions, seasonally adjusted | 100,428.67 | 101,756.28 | 101,318.17 | 100,159.46 | 101,855.09 | 101,405.66 | 101,505.53 | 101,044.13 | 100,461.33 | 99,583.97 | |
| Emissions, unadjusted | 105,796.9 | 106,267.54 | 94,302.08 | 97,301.94 | 107,217.45 | 105,950.93 | 94,467.1 | 98,150.06 | 105,848.57 | 104,290.55 | |
| Change on previous quarter, seasonally adjusted | -1.31 | 0.43 | 1.16 | -1.67 | 0.44 | -0.1 | 0.46 | 0.58 | 0.88 | -1.31 |
Understanding france greenhouse gas emissions (seasonally adjusted)
Air emissions accounts aggregate the total carbon dioxide equivalent released into the atmosphere by resident production units and households across the territory, adjusted to remove predictable calendar and weather patterns. Unlike raw volumetric totals, this smoothed metric applies mathematical adjustments to filter out regular fluctuations tied to predictable climatic shifts, statutory holidays, and recurring industrial shutdowns. The scope encompasses all greenhouse gases converted to a standard warming potential metric, capturing activities ranging from manufacturing and transport to residential heating and agricultural operations. International maritime and aviation bunkers are treated according to specific residency guidelines, meaning certain fuel burn fractions outside national borders may be excluded or allocated differently depending on operator registration.
Interpreting this adjusted figure requires understanding that smoothing models shift as more observations accumulate, occasionally altering past periods during routine backcasting. Analysts should compare consecutive observations with caution, as statistical smoothing can sometimes obscure genuine structural shifts behind residual noise filters. While this variant facilitates cleaner sequential analysis by removing regular climatic hums, it remains distinct from unadjusted totals that preserve raw absolute volumes. Relying solely on this filtered series without checking raw outputs can mask genuine underlying exposure to seasonal weather extremes, necessitating cross-referencing with unadjusted counterparts during unusual meteorological years.
Frequently asked questions
- Why do these figures differ from raw emission counts?
- Mathematical adjustments remove predictable calendar and climate influences to reveal underlying movement.
- Are past periods subject to alteration?
- Routine backcasting updates historical estimations as new seasonal parameters become available to the calculation engine.
- Does this series include international transport emissions?
- Coverage depends strictly on residency rules governing operators and fuel acquisition within the national accounting boundary.