France greenhouse gas emissions year-on-year change
France greenhouse gas emissions year-on-year change stood at -1.4% 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 2011 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Change on same quarter of previous year, seasonally adjusted | -1.4 | 0.35 | -0.19 | -0.88 | 1.39 | 1.83 | 0.6 | -1.89 | -4.09 | -4.49 | |
| Emissions per inhabitant, unadjusted | 1.53 | 1.54 | 1.37 | 1.41 | 1.56 | 1.54 | 1.37 | 1.43 | 1.54 | 1.52 | |
| 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 |
Understanding france greenhouse gas emissions year-on-year change
Twelve-month percentage variations measure the trajectory of smoothed greenhouse gas volumes by comparing the latest quarterly aggregate against the identical period of the previous year. This perspective bridges seasonal divides by pitting a given quarter against its structural counterpart twelve months prior, effectively neutralizing recurring annual weather patterns and holiday schedules without relying solely on sequential filters. The calculation encompasses total net changes across all resident economic sectors, capturing structural shifts in energy efficiency, industrial transitions, and longer-term fuel switching. It stands apart from short-term period-on-period rates by emphasizing extended trajectory over immediate quarter-to-quarter pivoting.
Interpreting annual rates requires recognizing that a single unusual climatic event or energy supply disruption from the base period twelve months prior can heavily distort the current percentage calculation. Revisions occurring in historical reference quarters will automatically alter the current growth rate, even if the latest period figures remain untouched. Analysts favor this twelve-month view over sequential comparisons for identifying genuine structural decarbonization trends because it dampens high-frequency noise. However, relying exclusively on this horizon can mask sudden, sharp reversals that occur within the intervening months, making it necessary to consult higher-frequency indicators alongside the annual rate.
Frequently asked questions
- Why is the twelve-month comparison preferred for trend analysis?
- It neutralizes recurring annual weather and calendar cycles by matching identical quarters across years.
- Can past base periods affect current calculations?
- Revisions to figures from twelve months prior will alter the resulting percentage rate without any new data in the current period.
- What is the primary limitation of this annual metric?
- It can obscure sudden turning points or sharp policy impacts that happen midway through the twelve-month span.