Puerto Rico vs Saint Lucia

Puerto Rico vs Saint Lucia, head to head across 8 shared rankings. Puerto Rico ranks higher in 3, Saint Lucia ranks higher in 5. On that count Saint Lucia comes out ahead overall, though each ranking measures something different, so the detail below matters more than the tally.

Ranking by ranking: in Countries with the highest lettuce yields, Puerto Rico is #1 with 105.48 tonnes per hectare and Saint Lucia is #38 with 21.7 tonnes per hectare (Puerto Rico ahead by 37); in Countries with the highest pig meat yields per animal, Puerto Rico is #2 with 159 kg per animal and Saint Lucia is #3 with 159 kg per animal (Puerto Rico ahead by 1); in Countries generating the most plastic waste per person, Puerto Rico is #50 with 0.25 kg per person per day and Saint Lucia is #6 with 0.52 kg per person per day (Saint Lucia ahead by 44); in Countries with the highest homicide rates, Puerto Rico is #21 with 15.08 per 100,000 people and Saint Lucia is #9 with 39.04 per 100,000 people (Saint Lucia ahead by 12); in Countries with the highest banana yields, Puerto Rico is #11 with 52.2 tonnes per hectare and Saint Lucia is #30 with 29.74 tonnes per hectare (Puerto Rico ahead by 19); in Countries with the highest diabetes death rates, Puerto Rico is #13 with 60.32 per 100,000 people and Saint Lucia is #11 with 67.9 per 100,000 people (Saint Lucia ahead by 2).

Within each ranking both entries are measured by the same metric from the same source at the same time, which makes every row a like-for-like comparison. Across rankings the metrics differ, so a lead in one does not cancel out a deficit in another. The rank history chart tracks both entries through every published snapshot of the first shared ranking.

Dates shown next to each ranking are the capture dates of the snapshots used, so you always know how current a comparison is. Each entry also has a profile page listing every ranking it appears in, and each ranking has a quiz if you want to test whether you could have named the top 10.

Top10Earth never estimates or edits a value: each number is fetched from its source, hashed, stored and ranked by software, then checked by a quality gate before it is published. If a refresh fails the gate, the previous snapshot stays live and the problem is reviewed by a person.