France CIF imports incl. DOM: Nigeria (estimated SA-WDA)
France CIF imports incl. DOM: Nigeria (estimated SA-WDA) stood at 514 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 by partner country 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 by partner country table
| Indicator | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Countries | |||||||||||
| CIF imports of France incl. overseas departments - From: Nigeria - Estimated SA-WDA data - NAF rev. 2 | 514 | 341 | 434 | 481 | 524 | 448 | 675 | 256 | 246 | 712 | |
| CIF imports of France incl. overseas departments - From: Lithuania - Data of collection - NAF rev. 2 | 89 | 97 | 92 | 77 | 83 | 89 | 83 | 89 | 68 | 84 |
Understanding france CIF imports incl. DOM: Nigeria (estimated SA-WDA)
Inbound physical merchandise dispatched from this West African partner is compiled using estimated seasonally and working-day adjusted (SA-WDA) data, covering imports entering domestic territory and overseas departments. The valuation framework applies the CIF standard, incorporating the baseline commodity purchase price alongside freight and insurance costs incurred during international transit. Unlike sibling series that present raw collection data, this row provides a modeled view designed to eliminate calendar irregularities and recurring seasonal fluctuations. The scope encompasses all physical goods captured by statistical estimation models for this specific trading partner, excluding services and unrecorded informal trade.
Reading these adjusted figures requires recognizing that modeled series carry inherent revision risks as seasonal parameters are updated and estimation algorithms incorporate new baseline information. While SA-WDA data facilitates cleaner month-to-month evaluations by removing holiday and working-day distortions, analysts should cross-reference these estimates with unadjusted collection totals to understand underlying physical shipping volumes. Sudden policy shifts or infrastructure disruptions in the partner country can temporarily reduce the accuracy of seasonal models, requiring cautious interpretation of recent months until estimation parameters stabilize.
Frequently asked questions
- What does the SA-WDA designation mean for this import series?
- It indicates that the data has been seasonally and working-day adjusted using statistical estimation models to smooth out calendar anomalies.
- How are shipping and insurance costs factored into the import values?
- The figures use a CIF valuation, combining the product's purchase price with transport and insurance expenses to the border.
- Why might modeled estimates differ from raw customs collection records?
- Estimation models apply smoothing algorithms and historical patterns that can temporarily diverge from actual reported collection totals during structural shifts.