France daily flight change vs one year earlier
France daily flight change vs one year earlier stood at -2.45% on Oct 18, 2026, according to EUROCONTROL – Daily Traffic Variation (IFR flights), States and Airports dashboards. It is one of the indicators in the Daily flights table (Value · Daily), with a complete series running from Jan 1, 2026 to Oct 18, 2026. The complete series with an interactive chart, free to download.
This indicator in the Daily flights table
| Indicator | 18-10-2026 | 17-10-2026 | 16-10-2026 | 15-10-2026 | 14-10-2026 | 13-10-2026 | 12-10-2026 | 11-10-2026 | 10-10-2026 | 09-10-2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Change | |||||||||||
| Change versus the same day one year earlier | -2.45 | -4.24 | -2.18 | -4.54 | -4.71 | -2.58 | -3.91 | -0.19 | -3.2 | -4.56 | |
| Change versus one year earlier, 7-day moving average | -3.51 | -3.21 | -3.08 | -3.45 | -3.65 | -3.98 | -4.33 | -3.99 | -4.46 | -4.28 |
Understanding france daily flight change vs one year earlier
This percentage metric calculates the relative expansion or contraction of raw daily instrument flight rules movements by comparing current activity directly against the exact volume recorded on the same calendar day one year prior. It measures immediate, unadjusted annual momentum across all commercial and general aviation sectors within the national airspace. Unlike moving average percentage changes, this unfiltered rate captures acute day-specific shifts, making it sensitive to sudden operational disruptions or holiday timing discrepancies.
Interpreting this rate requires caution regarding calendar anomalies, particularly when a major holiday shifts its day of the week between the two compared years. A sharp spike or drop in this series often reflects a temporary calendar mismatch rather than a permanent change in travel demand. Analysts should cross-reference this volatile figure with smoothed annual change measures to confirm whether a reported surge represents a lasting trend.
Frequently asked questions
- What causes sudden spikes or drops in this unadjusted annual growth rate?
- Calendar shifts in movable holidays or severe weather events on the comparative historical day can create sharp statistical anomalies.
- How does this figure differ from moving average percentage comparisons?
- This metric evaluates raw, single-day counts against the exact historical date, preserving day-specific volatility that smoothing algorithms eliminate.
- Is this percentage change suitable for assessing medium-term trends?
- Single-day percentage changes are too volatile for trend analysis; they are best used alongside smoothed metrics to verify operational direction.