Water Benchmarks
Water benchmarks establish reference points for rating food products based on their water scarcity impact.
Benchmark Methodology
Water impact is measured as scarcity-weighted water consumption. The benchmark was calculated on the same data basis as the climate benchmark.
Data Sample
| Parameter | Value |
|---|---|
| Businesses analyzed | 150 |
| Purchases analyzed | >3.5 million |
| Data period | 2019-2021 |
| Geographic focus | Primarily Switzerland |
Benchmark Value
91.56 liters scarce water per Daily Food Unit (DFU)
This is the average scarcity-weighted water footprint across all analyzed food purchases.
Unlike CO₂ values (which follow a more normal distribution), water footprint values are highly exponential. A few products from water-scarce regions (almonds, cashews, olives) have extremely high values (>5,000 L/DFU), while most products are well below average.
The 50% Reduction Goal
The rating system is designed around a key environmental target: reducing our dependency on scarce water by 50%.
How It Works
Analysis of the cumulative distribution reveals that this goal can be achieved by avoiding extreme outliers:
| Threshold | Cumulative DFU | Cumulative Water | Result |
|---|---|---|---|
| Products below 1,059.85 L/DFU | 6,404,682 | 293,210,216 L | 45.78 L/DFU |
By only consuming products with less than 1,059.85 L/DFU, the cumulative water footprint is exactly half the average (45.78 L vs 91.56 L).
Products with a higher water footprint than average can still receive a reasonable rating because avoiding extreme outliers achieves the 50% reduction goal. The focus is on eliminating the worst offenders, not penalizing everything above average.
Rating Thresholds
The A-E rating system is based on scientifically derived thresholds:
| Threshold | Water/DFU | Multiplier | Description |
|---|---|---|---|
| A vs B | 91.56 L | 1× (average) | Optimal scarce water consumption. Products below average guarantee reduced dependency on scarce water. |
| B vs C | 183.12 L | 2× average | Still very low consumption of scarce water. |
| C vs D | 366.24 L | 4× average | Substantially higher consumption (at least 4× average). |
| D vs E | 1,059.85 L | Cumulative threshold | Critical threshold. Products above this value prevent achieving the 50% reduction goal. |
Rating Interpretation
| Rating | Description | Recommendation |
|---|---|---|
| A | Below average | Supports 50% reduction goal |
| B | Up to 2× average | Low impact, good choice |
| C | 2-4× average | Moderate impact |
| D | 4× to threshold | High impact, reduce consumption |
| E | Above threshold | Very high impact, avoid when possible |
High-Impact Products
Products with extremely high water footprints (>5,000 L/DFU) typically come from water-scarce regions:
| Product | Typical Origin | Water Impact | Notes |
|---|---|---|---|
| Almonds | California, Spain | Very High | Severe water stress regions |
| Cashews | Vietnam, India | Very High | Irrigation-intensive |
| Olives | Mediterranean | Very High | Often from stressed aquifers |
| Avocados | Mexico, Chile | High | Water-intensive cultivation |
Regional Comparison Example
The same product can have vastly different water impacts depending on origin:
| Product | Origin | Irrigation Need | Scarcity Footprint |
|---|---|---|---|
| Tomato | Switzerland | Baseline | 1× |
| Tomato | Spain | 44× Swiss tomato | 2,400× Swiss tomato |
This dramatic difference occurs because Spanish tomatoes require extensive irrigation in a water-stressed region, while Swiss tomatoes rely more on rainfall.
Water Stress Index (WSI)
The scarcity weighting uses the Water Stress Index methodology:
| WSI Range | Stress Level | Description |
|---|---|---|
| 0.01 - 0.10 | None | Water abundant |
| 0.10 - 0.50 | Moderate | Some seasonal stress |
| 0.50 - 0.90 | Severe | Significant water scarcity |
| ≥ 0.90 | Extreme | Critical water shortage |
Data Sources
Water footprint calculations use:
- Scherer & Pfister (2016b) — Water scarcity footprint data for 142 products across 162 countries
- Pfister et al. (2009) — Water Stress Index methodology
- Global models — 6 models for river discharge, 4 for groundwater recharge, 6 for precipitation, 3 for water use
- Spatial resolution — 10×10 km grid
Global Context
Understanding why water scarcity matters:
| Statistic | Value |
|---|---|
| People without clean water access | 663 million |
| Agriculture share of freshwater use | 70% |
| Global average WSI for food production | 0.51 (moderate-high stress) |
| Average person's local WSI | 0.32 |
The disconnect between where food is produced (often water-scarce regions) and where it is consumed creates a "virtual water" transfer that strains global water resources.
Swiss-Specific Insights
Products with high water footprints commonly consumed in Switzerland:
- Olives and olive oil
- Nuts (almonds, cashews, walnuts)
- Chocolate and cocoa
- Coffee
- Milk products (due to feed)
- Rice
- Beef
These products often come from water-stressed regions, making origin selection critical for reducing water impact.
See Also
- Water Footprint Rating — Understanding water ratings
- Climate Benchmarks — CO₂ benchmark methodology
- Methodology Overview — LCA methods