Food map comparing pesticide load with Produce Compass score

69 foods shown from All markets

HIGH LONGEVITYBest for longevity + most pesticide
BEST OVERALLBest for longevity + least pesticide
LOWEST OVERLAPNormal for longevity + most pesticide
LOW PESTICIDENormal for longevity + least pesticide
Least pesticide Best longevity
Data, explained

How this map works

Sources, samples, scores, organic coverage and limits.

Dataset snapshot

69familiar foods
184,077scoring samples
8scoring markets
2,243organic samples
11,601context-only records
Aug 21, 2026snapshot updated
01

Pesticide score

Lower is better. It is a relative rankโ€”not a risk percentage.

What is tested

Official government labs test produce samples for pesticide residues. This app keeps familiar fruits, vegetables and legumes, then maps equivalent foods across the monitoring programs.

  1. 1

    Use the measured concentration of each detected pesticide in a modeled 100 g serving for a 70 kg adult.

  2. 2

    Compare the estimated dose with EPA health-protective reference levels. For a one-off exposure, use a high-residue sample that only 5% of samples exceed. For repeated exposure, use the average across all samples.

  3. 3

    If several pesticides have EPA reference levels, the one that comes closest to its reference level drives the food's position. Unrelated pesticides are not added together.

  4. 4

    Foods are ranked from 0โ€“100 within the current market view. A higher number means the estimated pesticide exposure is closer to the EPA reference level than for other foods currently compared; paired production groups use one shared scale.

Detected
Samples where at least one pesticide residue was found.
Multiple
Samples where two or more different residues were found.
Flagged
Samples with a regulatory tolerance flag; this is not itself a toxicity finding.
EPA benchmark %
Estimated exposure from one serving, shown as a share of EPA's health-protective reference level. It is separate from the map's relative 0โ€“100 score.
82.8%

of detected residue events had an EPA health reference available for comparison. The rest still count as detections, but do not affect the pesticide score.

02

Organic vs non-organic

Only shown where both groups are explicitly labeled and large enough.

๐ŸŒ All23 matched foods

2,243 organicvs10,650 non-organic

2020โ€“2024 ยท pooled US + Germany pairs
๐Ÿ‡บ๐Ÿ‡ธ US12 matched foods

330 organicvs2,743 non-organic

2020โ€“2023 ยท California DPR
๐Ÿ‡ฉ๐Ÿ‡ช Germany17 matched foods

1,913 organicvs7,907 non-organic

2021โ€“2024 ยท EFSA national files

Minimums: US foods need at least 20 organic and 40 non-organic samples; Germany needs at least 40 in each group.

Gray food: the same food's other production group, placed on the same scale so the movement is directly comparable.

Not shown elsewhere: Italy lacks useful same-food labeled overlap. Portugal has labeled organic records but no labeled conventional familiar-produce group. Uncoded samples remain in each country's โ€œAllโ€ view and are never guessed.

These are descriptive monitoring comparisons, not proof that the production method caused the difference. Origin, food mix and sampling strategy can differ between groups.

03

Longevity score

Higher is betterโ€”but only relative to the produce on this map.

50Lower end of these healthy plants
100Strongest end of these plants

Produce Compass blends the matched plain-food score from Food Compass 2.0 โ†— with an app-defined produce-profile tier, then ranks the 69 foods against one another. It does not compare produce with burgers or the entire food supply. It is not a validated medical score and does not predict lifespan.

04

Official monitoring sources

10 programs, stored locally for a static page.

Source years differ because monitoring schedules differ. The US union spans older years even though each food uses only its latest available sampled years. Taiwan pass/fail records add context only and never change a food's position.

05

What this cannot tell you

The honest boundaries of the chart.

  • Finding a residue does not mean the food caused harm.
  • Not finding one does not guarantee zero exposure.
  • Monitoring is not always a random survey of what everyone eats.
  • Washing, peeling, cooking and individual eating patterns are not modeled.
  • Country tabs describe where samples were monitored, not necessarily where food was grown.
  • The score is a navigation aidโ€”not medical advice or a safety certificate.
Read the exact methodology

Pesticide methodology

The combined view uses official monitoring from the US, UK, Germany, France, Italy, Spain, Portugal and Canada. Country tabs recalculate the pesticide position only among familiar produce with data in that market. The All, US and Germany views offer organic and non-organic comparisons. The All comparison pools only the qualifying country-level pairs, currently from the US and Germany, and uses one shared pesticide scale for both production groups. The US comparison uses California DPR 2020โ€“2023 produce monitoring with at least 20 organic and 40 non-organic samples per food. Germany uses 2020โ€“2024 EFSA files with explicit Organic production and Conventional (non-organic) production codes, requiring at least 40 samples per group. Only foods meeting both thresholds are compared, and each country's organic and non-organic observations share one pesticide scale so tab changes remain directly comparable; uncoded samples stay in each country's All view. These monitoring groups can differ in food mix, origin and sampling strategy, and California intentionally targets commodities more likely to have residues, so the comparison is descriptive rather than causal. US and UK All views use up to their five most recent sampled years through 2024; EFSA country files include objective and selective monitoring while excluding suspect samples. Italy's explicit non-organic sample pool is too sparse for a useful same-food comparison. Portugal reports some explicitly organic samples but no explicitly conventional samples for the familiar produce shown, so its uncoded records are not relabeled and no misleading production toggle is exposed. France and Spain currently use 2024 only. Canada uses official 2019โ€“2022 aggregate tables, so its detection rate is a conservative lower bound and no multi-residue rate is shown. Pesticide load estimates the dose from a 100 g serving for a 70 kg adult and compares it with EPA health-protective oral reference levels. For one-off exposure, it uses a high-residue concentration that only 5% of samples exceed; for repeated exposure, it uses the average across all samples. The pesticide that comes closest to its reference level sets each food's relative rank, so unrelated pesticides are not added together. Taiwan FDA pass/fail monitoring is context only and never changes the rank. This is not a probability of harm or a complete dietary risk assessment.

Longevity methodology

Produce Compass compares only the fruits, vegetables and legumes shown in this app, not burgers or the rest of the food supply. It averages the matched Food Compass 2.0 score for a plain food with an app-defined produce-profile tier. The final 50โ€“100 score equally blends that composite's midrank position among the foods shown with its minโ€“max-scaled strength, reducing artificial jumps around large ties while keeping the map relative. A score of 50 means the lower end of the healthy produce shown here, not unhealthy food; 100 means the strongest end. The raw Food Compass score and match remain visible. Produce Compass is app-derived, not a validated medical score, and does not predict lifespan.