Azerbaijan vs Sint Maarten: Chlorophyll-a anomaly, remote sensing

Azerbaijan
0.0%
in 2022
Sint Maarten
0.0%
in 2022
Azerbaijan rank
143rd
Sint Maarten rank
146th

Chlorophyll-a anomaly, remote sensing over time

  • Azerbaijan
  • Sint Maarten
00.250.50.7511.2201820202022

How they compare

Azerbaijan currently reports 0.0% against 0.0% in Sint Maarten, a difference of 0.0%.

That makes Azerbaijan's figure about 1.2 times Sint Maarten's.

Across all 5 years both countries report, Azerbaijan has been ahead every year.

Azerbaijan ranks 143rd and Sint Maarten ranks 146th of 174 countries.

Azerbaijan has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Azerbaijan Sint Maarten Difference Ahead
2010s 0.9% 0.0% 0.9% Azerbaijan
2020s 0.1% 0.0% 0.1% Azerbaijan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher chlorophyll-a anomaly, remote sensing, Azerbaijan or Sint Maarten?
Azerbaijan, at 0.0% against 0.0% in Sint Maarten as of 2022.
What is the difference in chlorophyll-a anomaly, remote sensing between Azerbaijan and Sint Maarten?
0.0%, with Azerbaijan ahead.
How many years of comparable data are there for Azerbaijan and Sint Maarten?
5 years are reported by both, from 2018 to 2022.
How do Azerbaijan and Sint Maarten rank globally for chlorophyll-a anomaly, remote sensing?
Azerbaijan ranks 143rd and Sint Maarten ranks 146th of 174 countries.
Where does this data come from?
United Nations Statistics Division, SDG Global Database, published as Chlorophyll-a anomaly, remote sensing (%). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Azerbaijan vs Sint Maarten: Chlorophyll-a anomaly, remote sensing. Statizoid, drawing on United Nations Statistics Division, SDG Global Database. Retrieved 22 August 2026, from https://development-goals.statizoid.com/compare/chlorophyll-a-anomaly-remote-sensing-percent/azerbaijan/sint-maarten-dutch-part/

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About this data

Indicator
Chlorophyll-a anomaly, remote sensing (%)
Source
United Nations Statistics Division, SDG Global Database
Licence
UN SDG Global Database (open, attribution requested)
Coverage
222 places, 1,110 data points, 2018–2022
Last refreshed