Why Industry-Level multi HS4 analysis Is Essential for the Meat Industry:

The meat industry has been through more disruption in the last few years than most sectors see in a decade. African Swine Fever tore through global pork supply chains. Covid-19 shut down processing plants and scrambled demand. Environmental concerns, like CO2 emissions and the regulation that follows, are forcing production cuts in parts of Europe. Renewable diesel and biofuel demand has started pulling animal fat away from food and feed markets and into fuel refineries, competing for the same raw material. And the next major shift is already forming: as Mercosur-EPA trade terms move forward, countries like Brazil are positioned to become far bigger players in Japan's meat imports, not just in beef but across species.

Anyone in the industry who isn't tracking it is making decisions on previous year's map.

Our integrated "Meat Industry Package" combines multiple related HS4 codes into a single integrated analytical view, an approach rarely available in other trade statistical systems and uncommon among standard trade data platforms.

By analyzing HS0201, HS0202, HS0203, HS0204, HS0205, HS0206, HS0207, HS0208, HS0209, HS0210, HS1501, HS1502, HS1503, HS1504, HS1601, HS1602, HS1603, HS1604, and HS1605, users can:

1. Build your own cross-category comparisons, not just the ones listed here

   Every comparison in this list, species vs. species, food-use vs. industrial-use, chilled vs. frozen by country, comes from the same underlying capability: every HS4 in the package shares the same time base, units, and country breakdown, so any two categories can be placed side by side. The specific comparison that matters most to your business may not be one anyone has thought to name yet.

2. Model what-if scenarios across categories, not just observe what happened

   Because every category sits on the same aligned foundation, the data supports scenario questions, not just historical ones: if pork imports from a given country kept growing at their current pace, how long until cumulative volume approaches a safeguard threshold? If a safeguard tariff triggers on one species, which other species has historically absorbed the displaced demand? Comparison shows what did happen; this is the foundation for asking what would happen next.

3. Track processed meat by species, even within one "other prepared meat" heading

   HS1602 itself splits by species at the international level, turkey, chicken, other poultry, swine (further split into hams, shoulders, and other cuts), and bovine. A single heading that looks like a catch-all actually reveals whether growth is coming from pork ham products, chicken-based preparations, or corned beef, without needing separate files per species.

4. Track edible offal by species, down to specific cuts like beef tongue

   HS0206 splits by species, bovine, swine, and other, and within bovine offal, tongues are tracked separately from other cuts. That matters specifically for Japan, where beef tongue (gyutan) is a distinct, culturally significant product category, not just a generic offal byproduct.

5. Watch the same raw material get pulled toward food or industrial use

   HS0209 (pig and poultry fat for food use) and HS1501 (the same fat for industrial use) track the same underlying material split by end use. As renewable diesel and biofuel demand grows, watching this split shows whether rendered animal fat is being pulled toward fuel production at the expense of traditional food and feed markets, a real and growing competitive pull most single-category trackers miss entirely.

6. Compare carcass, bone-in, and boneless trade across species side by side

   Beef, pork, and lamb each split at the HS9 level into carcasses, bone-in cuts, and boneless cuts. Comparing that split across species shows whether the market is moving toward more processed, ready-to-cook boneless product, or staying with traditional carcass and bone-in trade, and whether that shift is happening at the same pace across beef, pork, and lamb or only in one.

7. Know the limits of what pork can tell you, and plan around them

   Pork's own HS9 split only goes as far as carcass, bone-in cuts, and boneless, it cannot distinguish loin from belly from shoulder the way some other data sources imply. Knowing this limitation up front, rather than discovering it after building an analysis around it, is itself part of what a properly documented package should deliver.

8. Track protein substitution between meat and seafood without buying two packages

   Because HS1604 (prepared fish) and HS1605 (prepared crustaceans and molluscs) sit inside this package alongside the meat categories, users can watch whether consumer demand is shifting between meat-based and fish-based prepared foods, a genuine protein-substitution signal, without needing the separate Seafood package.

9. Watch multiple independent tariff safeguards at once

   Beef, pork, and poultry each carry their own volume-based safeguard tariff that snaps into effect once cumulative imports cross a published threshold. Tracking all three species together shows which category is closest to triggering its own safeguard at any given time, rather than monitoring three separate systems in isolation.

10. Understand why pork runs on different tariff logic than beef or poultry

    Pork's differential duty ("gate price") system is price-triggered, not volume-triggered, a genuinely different mechanism from the safeguard system that governs beef and poultry. A cross-species trader needs to know which mechanism applies to which product, and this package puts both regulatory architectures in view side by side.

11. See the chilled-vs-frozen divide by country, and why it exists

    Long sea-freight transit times structurally limit which supplier countries can compete in Japan's chilled segment versus the frozen segment. Watching the chilled/frozen split by country of origin shows this geographic constraint directly in the trade data, and any future change, new logistics routes, faster shipping, would show up here first.

12. Follow the full value chain, from live animal to finished product

    See how disruption in raw meat (HS0201–HS0210) ripples through into rendered fats (HS1501–HS1504), and on into sausages, prepared meat, and extracts (HS1601–HS1603).

13. Track the Mercosur shift across species, not just in beef

    Brazil's growing role in Japan's meat imports isn't limited to beef. Watching beef, pork, and poultry from the same country at once shows whether Brazil's footprint is broadening across species or concentrated in just one, a materially different competitive story either way.

14. Compare price per kg across species as a substitution signal

    Track whether beef, pork, or poultry is becoming relatively cheaper or more expensive against the others, a genuine consumer substitution indicator that a single-species price series cannot show on its own.

15. Distinguish structural change from a normal cycle

    Tell the difference between a genuine, lasting shift, like ASF-driven pork substitution or a permanent European production cut, and a temporary supply disruption; the two require very different responses.

16. Track supply shocks as they happen

    See ASF-driven pork substitution, plant shutdown effects, or CO2-related production cuts show up directly in Japan's import mix, by country, by species, by month.

17. Spot country-of-origin shifts early

    Catch import composition moving toward new supplier countries before it's obvious in headline trade figures.

18. One dataset, already aligned

    Same time base, same units, same country breakdown across every species and product stage, no manual merging of separate beef, pork, and poultry files required.