Hts Chapter 64 Footwear Imports Data: Dataset Structure and Field Coverage

The canonical source is USITC DataWeb - U.S. Footwear Import/Export and Tariff Data. It queries Chapter 64 at HTS 10-digit level — roughly 400+ active statistical lines — sliced by year or month, partner country and customs district of entry, carrying import value plus one or two quantity measures per line. History reaches back to 1989, results ship as JSON, XLSX or HTML tables, and the underlying statistics are a U.S. Government work in the commercial delivery terms.

That reuse cuts both ways for a footwear analyst. Because DataWeb is a general trade engine rather than a footwear-specific product, its Chapter 64 coverage is exactly as deep as the HTS chapter itself, and the same registration unlocks every other chapter you might benchmark against — no separate vendor relationship per commodity.

That hierarchy matters practically: a 10-digit pull gives you statistical-line detail no aggregator carries — down to footwear type and material construction as the HTS distinguishes them — while the HS6 view trades depth for approximately 226-reporter bilateral coverage. Pick the rung that matches the decision: tariff exposure by exact product goes to DataWeb, market share by exporter goes to the OEC, and pairs-denominated sizing goes to APICCAPS. The table below maps who reports what.

For the state-and-port dimension DataWeb lacks, USA Trade Online (US Census Bureau) slices monthly merchandise imports by HS commodity code, country, customs district, state and port back to January 2002, exporting JSON, CSV or XLSX with no registration step.

They measure different things, and analysts use them together. USITC DataWeb gives the importer-side view at maximum line detail for one market — the United States — while the OEC's BACI cube gives exporter-importer pairs for approximately 226 reporter economies across the 25 HS6 footwear lines, with Trade Value, Quantity and Unit Value measures per flow.

A unit-price bridge closes the gap between dollars and physical volume: APICCAPS reports average unit prices alongside production, consumption and trade in pairs and USD for its 84 markets, which lets you test whether a dollar surge in a 10-digit import line reflects price or volume.