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Data for 2017

Tree Cover Loss, 2017

Figures for 2017, as World Resources Institute — Global Forest Watch (data: University of Maryland) published them · stored as published, never rewritten

Tree Cover Loss, 2017 covers 210 countries on 2 measures. Russia is highest, at 5,288,940.621; 29 countries share the lowest reading, 0.000. The middle country reads 4,248.838. Against 2016, 181 values changed (120 up, 61 down), the same countries are covered.

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Tree Cover Loss · Data for 2017

HighestRussia

5,288,940.621

Lowest29 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, 2017, 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, 2017: every country, as published by World Resources Institute — Global Forest Watch (data: University of Maryland).
RussiaRUSEastern Europe5,288,940.621761,226,509.4
BrazilBRASouth America4,519,545.898519,056,655.7
CanadaCANNorthern America2,559,736.503418,066,874.8
United StatesUSANorthern America2,311,359.170279,375,325.2
DR CongoCODMiddle Africa1,468,187.699199,272,121.1
IndonesiaIDNSouth-eastern Asia1,300,718.380160,640,822.2
ChinaCHNEastern Asia644,430.799162,873,594.1
MadagascarMDGEastern Africa510,357.07817,141,084.1
MalaysiaMYSSouth-eastern Asia483,499.20829,444,768.4
BoliviaBOLSouth America462,948.68664,556,285.1
ColombiaCOLSouth America424,642.23981,854,357.4
ParaguayPRYSouth America360,073.37724,273,208.1
MozambiqueMOZEastern Africa359,023.14828,920,531.0
Côte d’IvoireCIVWestern Africa357,308.85814,866,947.4
LaosLAOSouth-eastern Asia349,044.10319,118,849.5
MyanmarMMRSouth-eastern Asia341,843.90442,863,360.7
FinlandFINNorthern Europe336,198.54121,627,650.4
SwedenSWENorthern Europe331,217.29127,883,711.6
PeruPERSouth America303,216.79478,063,554.9
MexicoMEXCentral America298,634.38853,168,926.1
VietnamVNMSouth-eastern Asia286,999.88916,550,834.6
AngolaAGOMiddle Africa280,422.01955,276,134.7
AustraliaAUSAustralia and New Zealand236,877.52042,281,440.1
ArgentinaARGSouth America233,945.09939,069,969.4
Sierra LeoneSLEWestern Africa232,752.5965,617,879.8

02In 2017

At either end

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

Highest

  1. Russia5,288,940.621
  2. Brazil4,519,545.898
  3. Canada2,559,736.503
  4. United States2,311,359.170
  5. DR Congo1,468,187.699

Lowest

  1. Yemenshared0.000
  2. Tuvalushared0.000
  3. Seychellesshared0.000
  4. São Tomé and Príncipeshared0.000
  5. Saudi Arabiashared0.000

Neither end is better. The values describe a shape, not a score. The middle country reads 4,248.838. “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

032016 → 2017

Since 2016

What changed between 2016 and this one: who joined or left, and how far the headline moved.

  • +0 / −0countries joined / left
  • 181values changed, of 210 in both
  • 120 · 61rose · fell
  • 29unchanged

Rose most

  • Canada2,084,425.778 → 2,559,736.503+475,310.724
  • Russia5,051,685.620 → 5,288,940.621+237,255.001
  • Côte d’Ivoire221,124.467 → 357,308.858+136,184.392
  • Colombia290,868.255 → 424,642.239+133,773.984
  • Madagascar383,655.552 → 510,357.078+126,701.525

Fell most

  • Indonesia2,422,066.010 → 1,300,718.380−1,121,347.631
  • Brazil5,378,610.280 → 4,519,545.898−859,064.381
  • Australia430,903.686 → 236,877.520−194,026.166
  • Guatemala178,532.108 → 79,800.661−98,731.447
  • Malaysia565,553.110 → 483,499.208−82,053.903

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

  • 182 distinct values among 210

    Values are stored exactly as published, to 18 decimals. 29 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-2017-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) (2017). Tree Cover Loss, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/tree-cover-loss/2017

0625 held

Other years

07Questions

Tree Cover Loss, 2017: questions and answers

Which country has the highest tree cover loss in Tree Cover Loss, 2017?

Russia, at 5,288,940.621, of the 210 countries in the file.

What year does Tree Cover Loss, 2017 describe?

2017.

How many countries does Tree Cover Loss, 2017 cover?

210.

Where can I download Tree Cover Loss, 2017?

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, 2017 the newest?

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

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