Argentina vs Southern Africa: Chlorophyll-a anomaly, remote sensing

Argentina
3.0%
in 2022
Southern Africa
1.1%
in 2022
Argentina rank
15th
Southern Africa rank
17th

Chlorophyll-a anomaly, remote sensing over time

  • Argentina
  • Southern Africa
1234201820202022

How they compare

Argentina currently reports 3.0% against 1.1% in Southern Africa, a difference of 1.9%.

That makes Argentina's figure about 2.7 times Southern Africa's.

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

Argentina ranks 15th and Southern Africa ranks 17th of 174 countries.

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

Head to head by decade

Decade Argentina Southern Africa Difference Ahead
2010s 3.9% 1.8% 2.1% Argentina
2020s 3.7% 1.7% 2.0% Argentina

Averages of every year both report within each decade.

Frequently asked questions

Which has higher chlorophyll-a anomaly, remote sensing, Argentina or Southern Africa?
Argentina, at 3.0% against 1.1% in Southern Africa as of 2022.
What is the difference in chlorophyll-a anomaly, remote sensing between Argentina and Southern Africa?
1.9%, with Argentina ahead.
How many years of comparable data are there for Argentina and Southern Africa?
5 years are reported by both, from 2018 to 2022.
How do Argentina and Southern Africa rank globally for chlorophyll-a anomaly, remote sensing?
Argentina ranks 15th and Southern Africa ranks 17th 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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Argentina vs Southern Africa: Chlorophyll-a anomaly, remote sensing. Statizoid, drawing on United Nations Statistics Division, SDG Global Database. Retrieved 24 August 2026, from https://development-goals.statizoid.com/compare/chlorophyll-a-anomaly-remote-sensing-percent/argentina/southern-africa/

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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