Central Asia vs El Salvador: Chlorophyll-a anomaly, remote sensing

Central Asia
0.3%
in 2022
El Salvador
2.2%
in 2022
Central Asia rank
29th
El Salvador rank
28th

Chlorophyll-a anomaly, remote sensing over time

  • Central Asia
  • El Salvador
0.511.52201820202022

How they compare

El Salvador currently reports 2.2% against 0.3% in Central Asia, a difference of 1.9%.

That makes El Salvador's figure about 7.5 times Central Asia's.

The two have swapped places 2 times across 5 shared years of data; in 2018 it was El Salvador ahead.

Central Asia ranks 29th and El Salvador ranks 28th of 30 groups.

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

Head to head by decade

Decade Central Asia El Salvador Difference Ahead
2010s 0.7% 1.1% 0.4% El Salvador
2020s 0.7% 1.9% 1.2% El Salvador

Averages of every year both report within each decade.

Frequently asked questions

Which has higher chlorophyll-a anomaly, remote sensing, Central Asia or El Salvador?
El Salvador, at 2.2% against 0.3% in Central Asia as of 2022.
What is the difference in chlorophyll-a anomaly, remote sensing between Central Asia and El Salvador?
1.9%, with El Salvador ahead.
How many years of comparable data are there for Central Asia and El Salvador?
5 years are reported by both, from 2018 to 2022.
How do Central Asia and El Salvador rank globally for chlorophyll-a anomaly, remote sensing?
Central Asia ranks 29th and El Salvador ranks 28th of 30 groups.
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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Central Asia vs El Salvador: 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/central-asia/el-salvador/

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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