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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.

2001bar height: countries covered, up to 2102025
Every year of Tree Cover Loss held on this site, newest first, with its download files.
YearCountriesChangeReadDownload
Tree Cover Loss, 2025Newest210±0September 29, 2026CSV
Tree Cover Loss, 2024210±0September 29, 2026CSV
Tree Cover Loss, 2023210±0September 29, 2026CSV
Tree Cover Loss, 2022210±0September 29, 2026CSV
Tree Cover Loss, 2021210±0September 29, 2026CSV
Tree Cover Loss, 2020210±0September 29, 2026CSV
Tree Cover Loss, 2019210±0September 29, 2026CSV
Tree Cover Loss, 2018210±0September 29, 2026CSV
Tree Cover Loss, 2017210±0September 29, 2026CSV
Tree Cover Loss, 2016210±0September 29, 2026CSV
Tree Cover Loss, 2015210±0September 29, 2026CSV
Tree Cover Loss, 2014210±0September 29, 2026CSV
Show all 25 years
YearCountriesChangeReadDownload
Tree Cover Loss, 2013210±0September 29, 2026CSV
Tree Cover Loss, 2012210±0September 29, 2026CSV
Tree Cover Loss, 2011210±0September 29, 2026CSV
Tree Cover Loss, 2010210±0September 29, 2026CSV
Tree Cover Loss, 2009210±0September 29, 2026CSV
Tree Cover Loss, 2008210±0September 29, 2026CSV
Tree Cover Loss, 2007210±0September 29, 2026CSV
Tree Cover Loss, 2006210±0September 29, 2026CSV
Tree Cover Loss, 2005210±0September 29, 2026CSV
Tree Cover Loss, 2004210±0September 29, 2026CSV
Tree Cover Loss, 2003210±0September 29, 2026CSV
Tree Cover Loss, 2002210±0September 29, 2026CSV
Tree Cover Loss, 2001210—September 29, 2026CSV

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.

Every column in the newest file of Tree Cover Loss: what it holds, how it is stored, and its range.
ColumnWhat it holdsStored asRange, 2025DistinctEmptySpread
CountrycountryNameThe country’s name, as this file spells it.Text—2100
ISO Codecountry_codeIdentifierThe ISO 3166-1 alpha-3 code, added by this site. Every table here joins on it.Text · 3 letters—2100
Tree cover loss (hectares, >30% canopy)tree_cover_lossHeadlineThe headline figure: Tree cover loss (hectares, where canopy cover exceeded 30% in 2000).Number · up to 18 decimals0.00027 share it6,225,187.103Canadamiddle 3,774.6211840
Tree cover in 2000 (hectares, >30% canopy)tree_cover_2000MeasureArea 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 decimals0.09 share it761,226,509.4Russiamiddle 1,245,965.52020

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.

All regions
Countries in each year of Tree Cover Loss, by continent.
201420152016201720182019202020212022202320242025
Africa545454545454545454545454
Americas474747474747474747474747
Asia505050505050505050505050
Europe474747474747474747474747
Oceania121212121212121212121212
All210210210210210210210210210210210210

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.

The site’s method
  1. 1 · Publisher

    World Resources Institute — Global Forest Watch (data: University of Maryland)

  2. 2 · Their file

    Tree Cover Loss 2025

  3. 3 · Read by this site

    September 29, 2026

    Imported by a script that parses each figure and writes it down unrounded.
  4. 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.csv
  5. 5 · 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.

Every publisher’s terms

Licence · checked September 29, 2026

CC BY 4.0

  • 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.

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.

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