Dataset · World Resources Institute — Global Forest Watch (data: University of Maryland)
Tree Cover Loss
25 years, 2001–2025 · 210 countries · 2 measures
This is how much tree cover a country lost in a year, in hectares, measured from Landsat satellite images by the University of Maryland and published by Global Forest Watch. It counts every patch where most of the canopy was cleared or died — for farms, logging, mining, roads, fire or storms.
This site holds every year from 2001 to 2025, read from World Resources Institute — Global Forest Watch (data: University of Maryland)’s own data and stored exactly as published.
Tree Cover Loss · the file
- Newest
- Tree Cover Loss, 2025
- Held
- 25 years · 5,250 rows
- Licence
- CC BY 4.0
0125 years
Every year
Newest first. Each opens the full table for that year, and each downloads as a CSV.
| Year | Countries | Change | Read | Download |
|---|---|---|---|---|
| Tree Cover Loss, 2025Newest | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2024 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2023 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2022 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2021 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2020 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2019 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2018 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2017 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2016 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2015 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2014 | 210 | ±0 | September 29, 2026 | CSV |
Show all 25 years
| Year | Countries | Change | Read | Download |
|---|---|---|---|---|
| Tree Cover Loss, 2013 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2012 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2011 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2010 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2009 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2008 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2007 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2006 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2005 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2004 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2003 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2002 | 210 | ±0 | September 29, 2026 | CSV |
| Tree Cover Loss, 2001 | 210 | — | September 29, 2026 | CSV |
Every year in one file, one row per country per year: tree-cover-loss-all-editions-nations-inquiry.csv
024 columns
What’s in the file
Every column, what it holds, how it is stored and what its values look like — what a reader needs before opening the file.
| Column | What it holds | Stored as | Range, 2025 | Distinct | Empty | Spread |
|---|---|---|---|---|---|---|
CountrycountryName | The country’s name, as this file spells it. | Text | — | 210 | 0 | |
ISO Codecountry_codeIdentifier | The ISO 3166-1 alpha-3 code, added by this site. Every table here joins on it. | Text · 3 letters | — | 210 | 0 | |
Tree cover loss (hectares, >30% canopy)tree_cover_lossHeadline | The headline figure: Tree cover loss (hectares, where canopy cover exceeded 30% in 2000). | Number · up to 18 decimals | 0.00027 share it6,225,187.103 | 184 | 0 | |
Tree cover in 2000 (hectares, >30% canopy)tree_cover_2000Measure | Area where tree canopy covered more than 30% of the ground in 2000, in hectares — the base the year's loss is measured within. | Number · up to 17 decimals | 0.09 share it761,226,509.4 | 202 | 0 |
Profiled from the newest file. Range: the lowest and highest value, with the country holding it when only one does. Spread: countries in ten equal steps from lowest to highest. Neither end is better. The values describe a shape, not a score.
03210 countries across every year
Who is covered
How many countries each year holds, continent by continent, who joined and who left, and which places this site covers that the dataset never has.
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Africa | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 |
| Americas | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 |
| Asia | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |
| Europe | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 | 47 |
| Oceania | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| All | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 | 210 |
The newest 12 of 25 years.
The same 210 countries in every year.
Not in this dataset · 15 places this site covers
World Resources Institute — Global Forest Watch (data: University of Maryland) gives no figure for these in any year held here. It is the publisher’s choice of scope, and each place’s profile shows what is measured.
04Provenance
Where it comes from
The path from the publisher to this page, and what was checked and changed on the way.
1 · Publisher
World Resources Institute — Global Forest Watch (data: University of Maryland)
2 · Their file
Tree Cover Loss 2025
3 · Read by this site
September 29, 2026
Imported by a script that parses each figure and writes it down unrounded.4 · Stored as
25 files, one per year
Each downloads as a CSV, or every year together as tree-cover-loss-all-editions-nations-inquiry.csv5 · Used on
Its statistic page, and every profile it measures
Precision
The headline is stored to 18 decimals, as published.
Rounded by this site
Never. Tables on screen may show fewer decimals; the files never do.
Changed by this site
Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
From Global Forest Watch, run by the World Resources Institute, using the University of Maryland's tree cover loss data at the 30% canopy threshold its website uses. Disputed areas that the world boundary map draws separately are not counted in any country.
05Reuse
Licence and credit
What the publisher’s licence lets you do, what it asks of you, and a credit line and citation ready to copy.
Licence · checked September 29, 2026
- Share and redistribute it
- Adapt it and build on it
- Use it commercially
- Credit the publisher
- Say what you changed
Share, adapt and use commercially. Credit the publisher and say if you changed anything.
A credit line
Source: World Resources Institute — Global Forest Watch (data: University of Maryland), Tree Cover Loss, via Nations Inquiry.
Cite this dataset
World Resources Institute — Global Forest Watch (data: University of Maryland). Tree Cover Loss, 2001–2025 [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/tree-cover-loss
The publisher’s own citation: Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., et al. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342: 850–53. doi:10.1126/science.1244693. Accessed through Global Forest Watch (World Resources Institute).
Plain-language summary, not legal advice. The licence text is what binds.
06Where it is used
Around the site
Where these numbers appear on this site, and the datasets nearest to it.
Charted
Tree Cover Loss by countryWho is highest, the map, the spread, who rose and fell, and the records.
Subjects
Near neighbours
- CO₂ Emissions per CapitaGlobal Carbon Project · 75 held · 1950–2024
- Ecological FootprintGlobal Footprint Network · 65 held · 1961–2025
- Water StressFAO · 24 held · 2000–2023
07Questions
Tree Cover Loss: questions and answers
What is the Tree Cover Loss?
This is how much tree cover a country lost in a year, in hectares, measured from Landsat satellite images by the University of Maryland and published by Global Forest Watch. It counts every patch where most of the canopy was cleared or died — for farms, logging, mining, roads, fire or storms.
Which years of the Tree Cover Loss can I download?
All 25, from 2001 to 2025, each as a CSV file, or every year together in one CSV.
Does World Resources Institute — Global Forest Watch (data: University of Maryland) rank countries on it?
No, and this site does not order it either. The files hold values only.
Can I use it commercially?
Yes, under CC BY 4.0, with credit to World Resources Institute — Global Forest Watch (data: University of Maryland). The licence text is linked on this page.