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Data for 2018

Tree Cover Loss, 2018

Figures for 2018, as World Resources Institute — Global Forest Watch (data: University of Maryland) published them · stored as published, never rewritten

Tree Cover Loss, 2018 covers 210 countries on 2 measures. Russia is highest, at 5,560,431.581; 31 countries share the lowest reading, 0.000. The middle country reads 2,788.961. Against 2017, 185 values changed (63 up, 122 down), the same countries are covered.

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Tree Cover Loss · Data for 2018

HighestRussia

5,560,431.581

Lowest31 countries share it

0.000

Shaded by value in five groups of equal size, darkest at the highest end. Neither end is better. The values describe a shape, not a score.

01Values only

The table

Every country and every column of Tree Cover Loss, 2018, as published. The file carries values only, so no position is shown. “=” marks a shared position.

Showing 25 of 210 countries · select a heading to sort

Tree Cover Loss, 2018: every country, as published by World Resources Institute — Global Forest Watch (data: University of Maryland).
RussiaRUSEastern Europe5,560,431.581761,226,509.4
BrazilBRASouth America2,948,392.529519,056,655.7
CanadaCANNorthern America2,142,936.813418,066,874.8
United StatesUSANorthern America2,092,360.696279,375,325.2
DR CongoCODMiddle Africa1,373,826.566199,272,121.1
IndonesiaIDNSouth-eastern Asia1,218,733.128160,640,822.2
ChinaCHNEastern Asia569,767.259162,873,594.1
MalaysiaMYSSouth-eastern Asia438,009.45529,444,768.4
MadagascarMDGEastern Africa366,620.01317,141,084.1
ColombiaCOLSouth America352,219.12881,854,357.4
Côte d’IvoireCIVWestern Africa324,680.77914,866,947.4
BoliviaBOLSouth America301,917.65264,556,285.1
LaosLAOSouth-eastern Asia294,657.80019,118,849.5
SwedenSWENorthern Europe290,151.34827,883,711.6
MyanmarMMRSouth-eastern Asia278,708.43942,863,360.7
FinlandFINNorthern Europe269,954.62621,627,650.4
MexicoMEXCentral America267,178.47753,168,926.1
ParaguayPRYSouth America258,769.27824,273,208.1
AustraliaAUSAustralia and New Zealand250,753.71142,281,440.1
AngolaAGOMiddle Africa242,522.37355,276,134.7
VietnamVNMSouth-eastern Asia225,177.05416,550,834.6
PeruPERSouth America211,643.25078,063,554.9
LiberiaLBRWestern Africa204,932.1639,384,718.1
Sierra LeoneSLEWestern Africa188,217.9715,617,879.8
GuineaGINWestern Africa182,895.0538,159,636.2

02In 2018

At either end

The 5 countries at each end of the headline, then the highest and lowest on each other measure.

Highest

  1. Russia5,560,431.581
  2. Brazil2,948,392.529
  3. Canada2,142,936.813
  4. United States2,092,360.696
  5. DR Congo1,373,826.566

Lowest

  1. Yemenshared0.000
  2. Tuvalushared0.000
  3. Turkmenistanshared0.000
  4. Seychellesshared0.000
  5. Sint Maartenshared0.000

Neither end is better. The values describe a shape, not a score. The middle country reads 2,788.961. “Shared” marks a value another country also holds.

Each measure’s ends

  • Tree cover in 2000 (hectares, >30% canopy)

    HighestRussia761,226,509.4

    Lowest9 share it

    Middle country: 1,245,965.5

032017 → 2018

Since 2017

What changed between 2017 and this one: who joined or left, and how far the headline moved.

  • +0 / −0countries joined / left
  • 185values changed, of 210 in both
  • 63 · 122rose · fell
  • 25unchanged

Rose most

  • Russia5,288,940.621 → 5,560,431.581+271,490.960
  • Ghana115,331.759 → 151,530.490+36,198.732
  • Spain98,458.689 → 119,648.839+21,190.150
  • Germany32,999.138 → 52,238.958+19,239.820
  • Australia236,877.520 → 250,753.711+13,876.192

Fell most

  • Brazil4,519,545.898 → 2,948,392.529−1,571,153.369
  • Canada2,559,736.503 → 2,142,936.813−416,799.690
  • United States2,311,359.170 → 2,092,360.696−218,998.474
  • Mozambique359,023.148 → 172,404.619−186,618.529
  • Bolivia462,948.686 → 301,917.652−161,031.035

Changes in value, not in places: a country’s place also moves when others do. Every country’s full history is charted on the statistic page.

04Caveats

Read before you use

What this edition’s numbers are and are not, worked out from the file itself.

The site’s method

  • 180 distinct values among 210

    Values are stored exactly as published, to 16 decimals. 31 countries share 0.000. Countries sharing a value share a position too.

  • Which end is better

    Neither end is better. The values describe a shape, not a score.

  • Nothing missing

    Every one of the 210 countries has every column.

05The files

Download and cite

The table as a file, digit for digit, what this site changed, and a citation for this edition.

Licence in full
  • .csv

    For a spreadsheet or code

    210 rows · 11 KB · UTF-8, opens in Excel

    Opens with 11 lines of source notes; the table starts on row 13.

    Download tree-cover-loss-2018-nations-inquiry.csv
  • ↗

    The publisher’s original

    World Resources Institute — Global Forest Watch (data: University of Maryland)’s own file, on its own site.

    v20260407

What this site changed: 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.

Licence: CC BY 4.0. Share, adapt and use commercially. Credit the publisher and say if you changed anything.

Cite this edition

World Resources Institute — Global Forest Watch (data: University of Maryland) (2018). Tree Cover Loss, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/tree-cover-loss/2018

0625 held

Other years

07Questions

Tree Cover Loss, 2018: questions and answers

Which country has the highest tree cover loss in Tree Cover Loss, 2018?

Russia, at 5,560,431.581, of the 210 countries in the file.

What year does Tree Cover Loss, 2018 describe?

2018.

How many countries does Tree Cover Loss, 2018 cover?

210.

Where can I download Tree Cover Loss, 2018?

On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.

Is Tree Cover Loss, 2018 the newest?

No. The newest held here is Tree Cover Loss, 2025.

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