Download clean US + EU denim import pulse for Bangladesh — built for buyers to plan markets, forecast demand, and brief a denim program faster.
A fast summary so buyers can confirm fit in seconds—then jump to preview or download the workbook for pivots and charts.
Years covered
2018–2025
8-year view for directional market planning.
Markets
US + EU
Compare demand direction and volatility windows.
Product scope
Denim bottoms
Trade pulse signal for planning (not capacity guarantee).
Formats
XLSX + CSV
XLSX = dashboard + charts • CSV = pure data.
A simple workflow: identify demand signals, pick target markets, and then validate cost & capacity with an RFQ.
Use the trend + top importers to decide where your denim program has the strongest pull.
Convert the data into a working plan: MOQ bands, lead-time expectations, and launch timing.
Trade data is a signal. For production decisions, validate cost, capacity, compliance, and timelines via RFQ.
Want verified factories + costing for your denim program?
Submit a quick Denim RFQ and get a structured response.
These takeaways are generated from dataset v1.0 (illustrative preview). Replace values later if you swap in official trade extracts.
Germany
Germany leads EU imports in 2025 at €4.27bn (value in million EUR inside the dataset).
+9.0% CAGR
US value rises from $520m (2020) to $800m (2025), giving a ~9.0% CAGR.
EU €19.41bn • US $0.80bn
2025 totals in dataset currencies: EU in EUR, US in USD. Useful for prioritizing where to focus first.
US vs EU value trend (2018–2025)
This view helps you spot momentum and volatility windows before you validate cost, MOQ, and lead time via RFQ.
Top EU importers (2025 snapshot)
Use this to shortlist priority EU countries for your denim program — then validate capability and compliance via RFQ.
Browse a real preview from the CSV below. For pivots, reporting, and the dashboard, download the XLSX (recommended).
Preview loads a limited number of rows for speed. Download the XLSX for full pivots, dashboard, and analysis.
This dataset is designed for buyers and analysts: clean tables, clear summaries, and audit-friendly attribution. It currently contains realistic placeholder values (clearly labeled) and can be upgraded anytime with official trade extracts.
The preview dataset values are illustrative. The sources below were used as context signals and reference points.
Use XLSX for dashboard + pivots. Use CSV for automation and pipelines.
Common buyer questions about this dataset, how to use it, and what it does (and doesn’t) represent.
Use the dataset to guide market focus, then validate production reality (MOQ, lead time, pricing, compliance) via RFQ.
XLSX includes dashboard + charts. CSV is pure data.
This dataset is free to use with attribution. If you publish charts, research, or summaries, cite Antor.xyz so others can trace the dataset version.
Use this exact citation when you publish any charts, reports, or derived summaries.
If someone wants to reference your dataset on their site, they can use this snippet (links to your downloads).
Use the dataset as a demand signal. For production decisions, validate the real-world inputs: costing, MOQ, lead time, and compliance. Submit a Denim RFQ and get a structured response.
Start in under 2 minutes
If you already have a tech pack, attach it in the RFQ. If not, share product photos + target price + MOQ.
Keep exploring: more Data Hub pages and buyer tools that help you move from market signal → sourcing decision.
Trade, benchmarks, directories, and sourcing-ready data pages built for buyers.
Explore datasetsBuyer-ready page to validate costing, MOQ, lead time, and compliance via a structured RFQ.
Go to Denim RFQEstimate cost drivers quickly and bring better numbers into your RFQ conversation.
Open toolWant a specific dataset next?
Tell us the product category (denim/woven), HS scope, and target market (US/EU). We’ll prioritize it for the Data Hub roadmap.