Chlorophyll-a anomaly, remote sensing in Sub-Saharan Africa

Sub-Saharan Africa: Chlorophyll-a anomaly, remote sensing was 1.7% in 2022. β–Ό Falling

Latest (2022)
1.7%
Change on year
up 1.3%
Rank
7th
of 34 groups
All-time high
2.8%
in 2019
All-time low
1.7%
in 2021
Years of data
5
2018–2022

Chlorophyll-a anomaly, remote sensing in Sub-Saharan Africa, 2018–2022

01232018202020222018: 2.5 %2019: 2.8 %2020: 2.5 %2021: 1.7 %2022: 1.7 %

Source: United Nations Statistics Division, SDG Global Database. Measured in %.

Analysis

In 2022, chlorophyll-a anomaly, remote sensing in Sub-Saharan Africa stood at 1.7%.

The figure is up 1.3% on the previous year and down 30.1% over five years.

Sub-Saharan Africa ranks 7th of 34 groups on this measure, in the top quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 2.7% 2.5% 2.8% 2
2020s 2.0% 1.7% 2.5% 3

Countries ranked near Sub-Saharan Africa

  1. 4 Somalia 5.5% compare
  2. 5 Sri Lanka 5.0% compare
  3. 6 Oman 5.0% compare
  4. 7 French Guiana 4.5% compare
  5. 8 Djibouti 4.4% compare
  6. 9 Greenland 3.8% compare
  7. 10 Barbados 3.7% compare

See the full ranking of 222 places β†’

More development goals data for Sub-Saharan Africa

All data for Sub-Saharan Africa β†’

Frequently asked questions

What is chlorophyll-a anomaly, remote sensing in Sub-Saharan Africa?
Chlorophyll-a anomaly, remote sensing in Sub-Saharan Africa was 1.7% in 2022, according to United Nations Statistics Division, SDG Global Database.
What is the highest chlorophyll-a anomaly, remote sensing recorded in Sub-Saharan Africa?
The highest recorded value was 2.8% in 2019.
What is the lowest chlorophyll-a anomaly, remote sensing recorded in Sub-Saharan Africa?
The lowest recorded value was 1.7% in 2021.
How does Sub-Saharan Africa rank for chlorophyll-a anomaly, remote sensing?
Sub-Saharan Africa ranks 7th out of 34 groups with data for 2022.
Where does this Sub-Saharan Africa data come from?
The figures come from United Nations Statistics Division, SDG Global Database, published as part of Chlorophyll-a anomaly, remote sensing (%). Statizoid updates them automatically from the source API.

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CSV Β· JSON β€” 5 observations, free to reuse under UN SDG Global Database (open, attribution requested).

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Chlorophyll-a anomaly, remote sensing in Sub-Saharan Africa. Statizoid, drawing on United Nations Statistics Division, SDG Global Database. Retrieved 16 August 2026, from https://development-goals.statizoid.com/stat/chlorophyll-a-anomaly-remote-sensing-percent/sub-saharan-africa/

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About this data

Indicator
Chlorophyll-a anomaly, remote sensing (%)
Unit
%
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