France trade balance: manufacturing industry (raw data)
France trade balance: manufacturing industry (raw data) stood at -5,480 EUR million in Aug 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Trade balance and trade by product table (Value · Monthly), with a complete series running from Jan 2016 to Aug 2026. The complete series with an interactive chart, free to download.
This indicator in the Trade balance and trade by product table
| Indicator | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Trade balance (CIF/FOB) | |||||||||||
| With: The whole world - Manufacturing industry - Data of collection | -5,480 | -4,547 | -5,445 | -7,405 | -3,731 | -5,319 | -4,615 | -4,283 | -2,096 | -4,092 | |
| With: The whole world - Manufacturing industry - Estimated SA-WDA data | -5,318 | -5,678 | -5,222 | -5,832 | -4,131 | -5,026 | -4,684 | -3,190 | -4,291 | -3,718 |
Understanding france trade balance: manufacturing industry (raw data)
The net commercial deficit or surplus generated exclusively by industrial production sectors is isolated within this raw statistical ledger, contrasting total export revenues against cost-insurance-freight import expenditures without smoothing adjustments. By focusing narrowly on manufactured goods under standard classification frameworks, this metric strips away agricultural outputs, energy commodities, and service transactions to expose the direct trading performance of the factory sector. It operates strictly on unadjusted collection data, preserving the raw discrepancies caused by calendar anomalies, holiday shutdowns, and variable working-day counts within each specific reporting period. Economic researchers examine this unadjusted baseline to observe literal customs clearing patterns before any statistical smoothing models alter the underlying administrative records.
Evaluating unadjusted manufacturing trade balances requires accounting for predictable calendar shifts, such as varying numbers of weekends and holiday weeks in a given month, which can generate artificial volatility. Because raw data does not compensate for recurring seasonal troughs or peaks, comparing one month directly against the immediately preceding period often misleads analysts regarding underlying trajectory. Year-on-year comparisons offer a more stable perspective by aligning equivalent seasonal windows, though structural shifts in industrial supply chains or tariff policies over a twelve-month span must still be factored into any long-term assessment.
Frequently asked questions
- What specific economic sectors are covered within this manufacturing trade balance?
- The measure encompasses processed goods classified under industrial and manufacturing sectors, explicitly excluding raw agriculture and energy extraction.
- Why use unadjusted collection data instead of smoothed estimates?
- Unadjusted figures reflect the exact administrative timing of customs declarations without model-based estimations, which appeals to researchers studying pure reporting flows.
- How can analysts avoid false conclusions caused by calendar shifts in raw data?
- Comparing the current month against the same month of the previous year neutralizes most recurring calendar and seasonal distortions.