What Good Food Emissions Benchmarks Look Like for Caterers, Hotels, and Food Producers

Gioia Zagni

Chief Science Officer, Klimato

Without benchmarks, emissions data is a number without context. This guide sets out what food emissions benchmarks look like by sector, what the climate science says about target performance levels, and how to assess where your operation sits.

The Benchmark Framework: How Food Emissions Are Measured

Food emissions benchmarks are expressed differently depending on the business type and the purpose of the measurement.

Per meal (kg CO₂e per meal): The standard unit for food service operations: restaurants, contract caterers, hotel dining, and institutional catering. Allows comparison across sites and menus regardless of portion size variation.

Per kilogram of product (kg CO₂e per kg): The standard unit for food producers and manufacturers. Enables comparison across product categories and with industry data from LCA databases.
Total Scope 3 Category 1 (tonnes CO₂e per year): The corporate reporting metric used for CSRD, SBTi, and GHG Protocol disclosures. Aggregates across all procurement to give a total organizational footprint for purchased goods.

Category 1 intensity (kg CO₂e per meal served or per £/€ revenue): A normalized metric that allows performance to be tracked over time as business volume changes.

For most food service benchmarking purposes, per-meal emissions is the most operationally useful unit—it connects directly to menu decisions, procurement choices, and progress tracking.

The Climate Science Target: Where Benchmarks Need to Head

Before setting sector-specific benchmarks, it's useful to anchor them in what the climate science actually requires.

In practice, Klimato's carbon label scale provides an actionable framework for assessing per-meal performance:

A menu average in the B range is credible, near-term performance for food service operations with active sustainability programs. A menu average in the C–E range indicates significant emissions concentration, typically in high-protein categories, that represents both a climate risk and an unaddressed reduction opportunity.

For a deeper look at how food emissions are calculated and what makes the data credible, see How to Calculate the Carbon Footprint of Food.

Benchmarks by Sector

Contract Catering and Food Service Operators

What drives emissions in this sector: Contract catering emissions are dominated by ingredient choice. Protein sources—beef, lamb, dairy, and to a lesser extent pork and chicken—account for a disproportionate share of Category 1 footprint. Menu composition is the primary lever: a canteen with a high proportion of beef-based main dishes will carry significantly higher per-meal emissions than one with a plant-forward menu design, regardless of portion size or waste management.

Typical per-meal emissions range:
Based on published food systems research and Klimato's emission factor database:

• High-protein, meat-centric menus: 2.5–4.5 kg CO₂e per meal
• Mixed menus (standard corporate canteen): 1.5–2.5 kg CO₂e per meal
• Progressive menus (active emissions reduction programs): 0.9–1.5 kg CO₂e per meal
• Plant-forward menus: 0.5–1.0 kg CO₂e per meal

What good looks like: The most concrete benchmark available comes directly from practice: Sodexo's restaurant at AstraZeneca operates under a contractual target of 0.8 kg CO₂e per meal as an annual average for sold meals, with 1.0 kg CO₂e as the upper tolerance threshold—above which financial penalties apply. That structure places real commercial consequences on exceeding the B-band ceiling, and makes 0.8 kg CO₂e per meal the most tangible available benchmark for high-performing corporate catering. Achieving it required ingredient-level carbon data and active menu optimization—the same approach that produced a 66% reduction in meal-related emissions at the same site.

What to watch: The highest-impact ingredients in contract catering are almost always beef and dairy. A single beef-based main dish typically carries 3–8 kg CO₂e per serving depending on origin and production method—equivalent to 4–15 plant-based portions at the same meal occasion. Identifying which specific dishes carry the most weight, and developing lower-emission alternatives, is consistently more effective than broad menu changes.

Hotel and Hospitality F&B Operations

What drives emissions in this sector: Hotel F&B emissions tend to be higher per cover than contract catering for two reasons: menu composition typically skews toward higher-protein dishes, and waste rates are frequently higher in à la carte and buffet service formats. Breakfast buffets—with dairy-heavy options and often significant food waste—are frequently a disproportionate emissions source relative to their revenue contribution.

Typical per-meal/cover emissions range: 
Based on published research and Klimato's emission factor data:

• Full-service restaurant (à la carte, protein-centric menu): 2.5–5.0 kg CO₂e per cover
• Hotel breakfast (buffet format): 1.0–3.0 kg CO₂e per cover
• Conference and banqueting: 1.5–3.5 kg CO₂e per person (highly variable by menu)
• Room service: Data varies significantly by operation—insufficient data for a reliable range

What good looks like: Hotel groups with active food sustainability programs typically target a blended F&B emissions average across all dining formats in the 1.2–2.0 kg CO₂e per cover range, with specific attention to breakfast and high-volume banqueting formats where per-cover emissions and total volume combine to create the largest aggregate impact.

What to watch: Dairy has an outsized role in hotel breakfast emissions—butter, cream, milk, and cheese collectively represent a significant share of breakfast category footprint, often comparable to the meat contribution. For hotels with CSRD obligations or SBTi targets, breakfast format and ingredient choices are frequently an underestimated reduction opportunity.

Food Producers and Manufacturers

What drives emissions in this sector: For food producers, the emissions profile varies dramatically by product category. Agricultural production—the farming systems, feed inputs, and land use associated with raw ingredients—typically accounts for 70–90% of the total product carbon footprint, with processing, packaging, and transport representing smaller shares. The implication: reformulation decisions (ingredient substitutions, protein source changes) have far greater emissions impact than operational efficiency improvements in most cases.

Typical product-level emissions (kg CO₂e per kg of product): These figures are drawn from Klimato's emission factor database (global averages; values vary significantly by origin and production method):

Source: Klimato database, global averages. Values vary by origin, production method, and processing.

What good looks like: For food producers responding to retailer and foodservice buyer sustainability requirements, having a calculated PCF below the industry average for their product category—verified by a methodology aligned with ISO 14067—is increasingly a commercial differentiator. For SBTi FLAG targets, producers in high-FLAG categories (beef, dairy, palm-oil-containing products) need a credible pathway to reduce land-use-linked emissions, typically through sourcing shifts or supplier engagement.

What to watch: The gap between products within a single category can be as wide as the gap between categories. Beef from a grass-fed, low-deforestation-risk origin can carry a footprint 30–50% lower than feedlot beef from a high-deforestation-risk origin. For food producers, origin specificity in their PCF calculation is where the commercial differentiation sits—a global average figure for "beef" doesn't capture that difference.

How to Use Benchmarks Operationally

Benchmarks are a diagnostic tool, not a performance target in isolation. The right approach is to use them in three ways.

To Identify Where Action Is Most Needed

If your per-meal average sits in the D or E band, the analysis almost always shows a small number of high-emission dishes driving the majority of the gap. Identifying those dishes—and their ingredients—is the starting point for a reduction plan.

To Set Credible Targets 

SBTi FLAG requires food businesses to set science-aligned reduction targets for agricultural emissions. CSRD requires year-on-year comparison against a documented baseline. Knowing where you sit relative to sector benchmarks helps set targets that are ambitious but achievable, and that can be defended under audit scrutiny.

To Communicate Progress 

For caterers reporting to corporate clients, or food producers providing sustainability data to retail buyers, benchmark-contextualized performance data is more meaningful than a raw figure. "Our menu average of below 0.9 CO₂e per meal sits in the B band, aligned with WRI Coolfood 2030 targets" communicates more clearly than a number alone.

For a practical guide to acting on what benchmarks reveal, see How Food Businesses Can Reduce Their Food Carbon Footprint.

FAQ About Food Emissions Benchmarks

Q: What is a good food carbon footprint per meal?
A: The WRI Coolfood Pledge target is a 38% reduction in food-related emissions by 2030 from a 2015 baseline, which implies a portfolio meal average below approximately 0.9 kg CO₂e for food service operations targeting alignment with 2030 climate goals. For food service businesses currently averaging 2–3 kg CO₂e per meal, this represents a significant but achievable reduction through menu optimization, plant-protein integration, and procurement changes.

Q: How do food carbon footprints vary by ingredient?
A: Variation across ingredients is substantial—beef carries approximately 40–80 kg CO₂e per kg of product, while seasonal vegetables typically sit below 0.5 kg CO₂e per kg. This means that menu composition—specifically the proportion of high-protein, high-emission dishes—is the dominant driver of per-meal emissions for food service operators, far more significant than packaging, transport, or kitchen energy.

Q: How are food emissions benchmarks calculated?
A: Credible food emissions benchmarks are built from activity-based data: actual ingredient quantities multiplied by emission factors derived from peer-reviewed Life Cycle Assessment research aligned with ISO 14067. Benchmarks based on spend data or broad category averages are less precise and often misleading, particularly for protein-heavy categories where variation within a category is large.

Q: What does Scope 3 Category 1 intensity mean for food businesses?
A: Category 1 intensity is the total Scope 3 Category 1 footprint expressed relative to a business metric—typically per meal served, per kg of food purchased, or per unit of revenue. It allows performance to be tracked over time as business volume changes, and compared across sites or business units of different sizes. It's the most useful metric for internal target-setting and year-on-year progress reporting under CSRD.

Q: Why do benchmarks vary so much within a sector?
A: Because menu composition varies so widely. Two contract caterers of identical size, serving the same number of meals, can have per-meal emissions that differ by a factor of three or more depending on whether their menus center on beef or plant proteins. This is why benchmarks are most useful as a diagnostic tool—not to compare operations directly, but to understand where within your own menu the emissions concentrate and what changes would move the average.