Middle Africa vs Sri Lanka: Chlorophyll-a anomaly, remote sensing

Middle Africa
2.1%
in 2022
Sri Lanka
5.0%
in 2022
Middle Africa rank
1st
Sri Lanka rank
5th

Chlorophyll-a anomaly, remote sensing over time

  • Middle Africa
  • Sri Lanka
12345201820202022

How they compare

Sri Lanka currently reports 5.0% against 2.1% in Middle Africa, a difference of 2.9%.

That makes Sri Lanka's figure about 2.4 times Middle Africa's.

The two have swapped places 1 time across 5 shared years of data; in 2018 it was Middle Africa ahead.

Middle Africa ranks 1st and Sri Lanka ranks 5th of 18 regions.

Across the 2 decades both report, Middle Africa averaged higher in 1 and Sri Lanka in 1.

Head to head by decade

Decade Middle Africa Sri Lanka Difference Ahead
2010s 4.2% 1.6% 2.6% Middle Africa
2020s 2.8% 3.4% 0.6% Sri Lanka

Averages of every year both report within each decade.

Frequently asked questions

Which has higher chlorophyll-a anomaly, remote sensing, Middle Africa or Sri Lanka?
Sri Lanka, at 5.0% against 2.1% in Middle Africa as of 2022.
What is the difference in chlorophyll-a anomaly, remote sensing between Middle Africa and Sri Lanka?
2.9%, with Sri Lanka ahead.
How many years of comparable data are there for Middle Africa and Sri Lanka?
5 years are reported by both, from 2018 to 2022.
How do Middle Africa and Sri Lanka rank globally for chlorophyll-a anomaly, remote sensing?
Middle Africa ranks 1st and Sri Lanka ranks 5th of 18 regions.
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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Middle Africa vs Sri Lanka: Chlorophyll-a anomaly, remote sensing. Statizoid, drawing on United Nations Statistics Division, SDG Global Database. Retrieved 23 August 2026, from https://development-goals.statizoid.com/compare/chlorophyll-a-anomaly-remote-sensing-percent/middle-africa/sri-lanka/

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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