Paper Packaging LCAs: Why Better Data Leads to Better Sustainability Decisions

Sustainability teams are under increasing pressure to quantify environmental impact with precision. But when it comes to paper packaging life cycle assessments (LCAs), many organizations are still relying on generalized industry-average datasets that may not reflect the reality of how their packaging is actually produced. 

 As regulations tighten and sustainability reporting becomes more scrutinized, packaging companies and consumer brands need data that is specific, transparent, and actionable. The difference between industry averages and mill-level primary data can significantly alter the conclusions drawn from an LCA — influencing procurement, design, reporting, and even compliance decisions.

The Limits of Industry-Average Data

Traditional LCA datasets often rely on broad industry averages. These averages can be useful as a starting point, but they may overlook meaningful differences between regions, facilities, and production methods.

For paper packaging, this can create challenges. Some datasets group different paperboard grades together, rely on older data, or use regional averages that do not reflect the specific mill or supply chain being evaluated. As a result, companies may make packaging decisions based on assumptions rather than actual environmental performance.

Why Primary Data Provides a Clearer Picture

Primary data offers a more accurate view because it reflects the conditions of a specific facility or production process. For paper and pulp products, which can include actual energy sources, process efficiency, feedstock mix, water treatment, and mill-level operating details.

This level of detail matters. Two mills producing similar materials may have very different carbon, water, eutrophication, or fossil resource impacts. Without primary data, those differences can be hidden inside broad averages.

Better Data Leads to Better Packaging Decisions

LCAs should not be treated as a final checkbox at the end of the design process. They are most useful when they help guide decisions early and often.

With better data, companies can:

• Compare materials more accurately

• Understand environmental trade-offs

• Identify supply chain hotspots

• Support Scope 3 and sustainability reporting

• Make more defensible claims

• Avoid costly redesigns later

This is especially important as regulations and reporting frameworks place greater emphasis on company-specific and value-chain data.

Continue the Conversation in Our Upcoming Webinar

As sustainability expectations grow, companies need LCAs that move beyond generic averages. More specific, transparent, and current data helps organizations make smarter decisions about packaging design, sourcing, reporting, and long-term strategy.

For even deeper insights, join ResourceWise’s Trip Jobe and Trayak’s Scott Hickman for a practical discussion on how site-specific mill data can change LCA results and what that means for packaging, procurement, sustainability, and product development teams.