Tree Cover Loss in South Sudan

South Sudan: Tree Cover Loss was 8,372 hectares in 2025. ▼ Falling

Latest (2025)
8,372 hectares
Change on year
up 50.1%
World rank
91st
of 190 countries
All-time high
10,566 hectares
in 2005
All-time low
2,063 hectares
in 2003
Years of data
25
2001–2025

Tree Cover Loss in South Sudan, 2001–2025

2.0k4.0k6.0k8.0k10.0k2001201320252001: 4.9k hectares2002: 8.1k hectares2003: 2.1k hectares2004: 10.4k hectares2005: 10.6k hectares2006: 9.0k hectares2007: 9.5k hectares2008: 9.0k hectares2009: 8.1k hectares2010: 3.9k hectares2011: 9.0k hectares2012: 6.7k hectares2013: 4.9k hectares2014: 6.8k hectares2015: 2.5k hectares2016: 4.1k hectares2017: 6.9k hectares2018: 2.6k hectares2019: 3.8k hectares2020: 2.3k hectares2021: 2.8k hectares2022: 3.5k hectares2023: 6.2k hectares2024: 5.6k hectares2025: 8.4k hectares

Source: Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA). Measured in hectares.

Analysis

In 2025, tree cover loss in South Sudan stood at 8,372 hectares.

The figure is up 50.1% on the previous year and up 240.3% over ten years.

Over the whole period, tree cover loss in South Sudan peaked at 10,566 hectares in 2005 and was at its lowest, 2,063 hectares, in 2003.

That places South Sudan 91st out of 190 countries with data for 2025, putting it in the middle of the range.

The long-run direction has been consistently falling across the 25 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 7,964 hectares 2,063 hectares 10,566 hectares 9
2010s 5,106 hectares 2,460 hectares 9,012 hectares 10
2020s 4,789 hectares 2,326 hectares 8,372 hectares 6

Countries ranked near South Sudan

  1. 88 Uruguay 9,399 hectares compare
  2. 89 Bulgaria 9,103 hectares compare
  3. 90 Zimbabwe 8,529 hectares compare
  4. 92 Guinea-Bissau 8,132 hectares compare
  5. 93 Mongolia 7,879 hectares compare
  6. 94 Solomon Islands 7,865 hectares compare

See the full ranking of 190 places →

More agriculture & rural data for South Sudan

All data for South Sudan →

Frequently asked questions

What is tree cover loss in South Sudan?
Tree cover loss in South Sudan was 8,372 hectares in 2025, according to Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA).
What is the highest tree cover loss recorded in South Sudan?
The highest recorded value was 10,566 hectares in 2005.
What is the lowest tree cover loss recorded in South Sudan?
The lowest recorded value was 2,063 hectares in 2003.
How does South Sudan rank for tree cover loss?
South Sudan ranks 91st out of 190 countries with data for 2025.
Is tree cover loss rising or falling in South Sudan?
Over the last ten years it is up 240.3%. The long-run trend across the full record is falling.
Where does this South Sudan data come from?
The figures come from Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA), published as part of Tree Cover Loss (hectares). Statizoid updates them automatically from the source API.

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CSV · JSON — 25 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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Tree Cover Loss in South Sudan. Statizoid, drawing on Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA). Retrieved 19 August 2026, from https://agriculture.statizoid.com/stat/tree-cover-loss-hectares/south-sudan/

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About this data

Indicator
Tree Cover Loss (hectares)
Unit
hectares
Source
Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 4,725 data points, 2001–2025
Last refreshed

Shows year-by-year tree cover loss, defined as stand level replacement of vegetation greater than 5 meters, within the selected area. The tree cover loss data set is a collaboration of the University of Maryland, Google, USGS, and NASA, and uses Landsat satellite images to map annual tree cover loss at a 30 × 30 meter resolution. Note that “tree cover loss” is not the same as “deforestation” – tree cover loss includes change in both natural and planted forest, and does not need to be human caused. The data from 2011 onward were produced with an updated methodology that may capture additional loss. Comparisons between the original 2001-2010 data and future years should be performed with caution.