Data for 2018
Tropical Moist Forest Deforestation, 2018
2018, as JRC’s 2026 release gives it · stored as published, never rewritten
Tropical Moist Forest Deforestation, 2018 covers 102 countries on 5 measures. Brazil is highest, at 0.924141; 5 countries share the lowest reading, 0.000000. The middle country reads 0.001422. Against 2017, 100 values changed (34 up, 66 down), the same countries are covered.
Tropical Moist Forest Deforestation · Data for 2018
HighestBrazil
0.924141Lowest5 countries share it
0.000000Shaded 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 Tropical Moist Forest Deforestation, 2018, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 102 countries · select a heading to sort
| 0.924141 | 0.799193 | 0.786342 | 305.132328 | 26.898835 | |
| 0.417583 | 0.459335 | 0.270543 | 92.285899 | 21.120884 | |
| 0.415024 | 0.626576 | 0.274875 | 104.908619 | 11.909772 | |
| 0.196311 | 0.229217 | 0.117597 | 57.706747 | 5.813596 | |
| 0.103143 | 0.077038 | 0.053940 | 23.144881 | 5.102418 | |
| 0.100596 | 0.102894 | 0.038666 | 1.493000 | 1.558743 | |
| 0.089616 | 0.132299 | 0.050497 | 14.697664 | 5.138316 | |
| 0.087515 | 0.114289 | 0.017948 | 1.413980 | 1.371731 | |
| 0.079258 | 0.125253 | 0.080850 | 66.460168 | 4.076776 | |
| 0.076212 | 0.079690 | 0.018825 | 4.027115 | 1.533944 | |
| 0.056697 | 0.067294 | 0.033207 | 3.367327 | 1.236069 | |
| 0.054966 | 0.088970 | 0.036636 | 19.219347 | 1.955171 | |
| 0.054808 | 0.063623 | 0.058950 | 5.161199 | 2.770976 | |
| 0.052056 | 0.042258 | 0.009685 | 1.807788 | 1.182933 | |
| 0.050940 | 0.129279 | 0.025132 | 38.152761 | 2.883744 | |
| 0.044500 | 0.061670 | 0.172722 | 8.705777 | 4.007603 | |
| 0.040793 | 0.052773 | 0.072536 | 2.835041 | 1.909556 | |
| 0.037931 | 0.014341 | 0.004627 | 0.532613 | 0.427658 | |
| 0.036244 | 0.126677 | 0.015246 | 5.711750 | 2.121504 | |
| 0.034338 | 0.011324 | 0.007055 | 2.264893 | 0.533258 | |
| 0.032855 | 0.035258 | 0.115112 | 3.680218 | 1.907369 | |
| 0.032206 | 0.065240 | 0.016270 | 22.011633 | 1.190331 | |
| 0.030768 | 0.074769 | 0.097660 | 4.521963 | 2.406542 | |
| 0.030119 | 0.026939 | 0.011091 | 1.767011 | 0.662078 | |
| 0.026581 | 0.027390 | 0.059954 | 2.743041 | 1.983885 | |
| 0.025032 | 0.066391 | 0.036335 | 11.837619 | 1.955917 | |
| 0.019611 | 0.021362 | 0.021941 | 0.643132 | 0.686116 | |
| 0.019018 | 0.062972 | 0.032404 | 7.704712 | 3.739878 | |
| 0.015444 | 0.139316 | 0.043696 | 33.940822 | 4.902635 | |
| 0.014007 | 0.039296 | 0.085910 | 6.469230 | 1.725345 | |
| 0.013201 | 0.013248 | 0.008539 | 0.472594 | 0.292736 | |
| 0.011616 | 0.021058 | 0.054582 | 1.307657 | 0.648551 | |
| 0.010071 | 0.011693 | 0.028348 | 1.415760 | 0.699807 | |
| 0.007106 | 0.009185 | 0.012931 | 0.490643 | 0.167621 | |
| 0.007102 | 0.030616 | 0.017520 | 0.754484 | 0.621239 | |
| 0.007096 | 0.010564 | 0.057477 | 3.823036 | 1.582578 | |
| 0.006446 | 0.019547 | 0.009006 | 3.235595 | 0.636556 | |
| 0.005658 | 0.010398 | 0.019029 | 0.509901 | 0.514114 | |
| 0.005586 | 0.021395 | 0.004761 | 13.116919 | 0.385075 | |
| 0.004561 | 0.001708 | 0.001789 | 0.844114 | 0.311207 | |
| 0.004487 | 0.032459 | 0.006004 | 23.278082 | 0.628934 | |
| 0.004125 | 0.018336 | 0.005807 | 17.869054 | 0.537507 | |
| 0.003689 | 0.014414 | 0.006466 | 1.428175 | 0.590974 | |
| 0.003360 | 0.006515 | 0.011391 | 1.649478 | 0.389394 | |
| 0.002952 | 0.006251 | 0.000753 | 2.457088 | 0.149689 | |
| 0.002830 | 0.002306 | 0.005149 | 0.412499 | 0.343864 | |
| 0.002822 | 0.005037 | 0.012188 | 0.454464 | 0.239256 | |
| 0.002578 | 0.002275 | 0.003586 | 0.352102 | 0.374310 | |
| 0.002322 | 0.002474 | 0.001222 | 0.200584 | 0.055886 | |
| 0.002213 | 0.003658 | 0.016583 | 0.635797 | 0.298821 | |
| 0.001572 | 0.005869 | 0.004152 | 0.737180 | 0.145410 | |
| 0.001273 | 0.005430 | 0.009085 | 0.753687 | 0.408528 | |
| 0.001245 | 0.001520 | 0.001572 | 0.035111 | 0.058214 | |
| 0.001058 | 0.002989 | 0.000395 | 0.091079 | 0.032593 | |
| 0.000991 | 0.002077 | 0.001809 | 0.711965 | 0.105076 | |
| 0.000951 | 0.013511 | 0.000282 | 2.408539 | 0.155321 | |
| 0.000778 | 0.000237 | 0.000892 | 0.024175 | 0.012130 | |
| 0.000718 | 0.002511 | 0.000166 | 0.021805 | 0.017721 | |
| 0.000630 | 0.000589 | 0.003656 | 0.022249 | 0.046122 | |
| 0.000604 | 0.009496 | 0.002267 | 0.774737 | 0.237715 | |
| 0.000596 | 0.001102 | 0.006522 | 0.072222 | 0.057087 | |
| 0.000547 | 0.001610 | 0.008024 | 0.115042 | 0.154807 | |
| 0.000542 | 0.000343 | 0.001091 | 0.014673 | 0.029995 | |
| 0.000540 | 0.000724 | 0.002509 | 0.193549 | 0.165427 | |
| 0.000470 | 0.000480 | 0.000356 | 0.013789 | 0.012767 | |
| 0.000469 | 0.000719 | 0.000976 | 0.205147 | 0.080975 | |
| 0.000316 | 0.000377 | 0.003642 | 0.110821 | 0.037197 | |
| 0.000246 | 0.000661 | 0.001109 | 0.042230 | 0.017272 | |
| 0.000228 | 0.000448 | 0.000682 | 0.454651 | 0.051043 | |
| 0.000228 | 0.000521 | 0.026867 | 0.036746 | 0.257913 | |
| 0.000223 | 0.000615 | 0.000485 | 0.035812 | 0.018022 | |
| 0.000220 | 0.000438 | 0.004167 | 0.049612 | 0.031835 | |
| 0.000187 | 0.000142 | 0.000019 | 0.008319 | 0.003761 | |
| 0.000179 | 0.000138 | 0.004295 | 0.035904 | 0.037398 | |
| 0.000171 | 0.000128 | 0.001193 | 0.036619 | 0.015613 | |
| 0.000117 | 0.000154 | 0.000486 | 0.033957 | 0.011517 | |
| 0.000100 | 0.000053 | 0.000021 | 0.031275 | 0.009777 | |
| 0.000082 | 0.000036 | 0.000003 | 0.000989 | 0.001521 | |
| 0.000081 | 0.000113 | 0.000108 | 0.029092 | 0.008882 | |
| 0.000075 | 0.000498 | 0.000042 | 0.033668 | 0.030663 | |
| 0.000072 | 0.000035 | 0.000012 | 0.000790 | 0.001031 | |
| 0.000054 | 0.000091 | 0.000002 | 0.000214 | 0.001275 | |
| 0.000052 | 0.000093 | 0.000008 | 0.022302 | 0.004684 | |
| 0.000052 | 0.000123 | 0.000131 | 0.000722 | 0.004100 | |
| 0.000036 | 0.000013 | 0.000031 | 0.000305 | 0.001126 | |
| 0.000026 | 0.000022 | 0.000037 | 0.008367 | 0.010478 | |
| 0.000026 | 0.000018 | 0.000138 | 0.002259 | 0.004474 | |
| 0.000025 | 0.000000 | 0.000001 | 0.000435 | 0.000000 | |
| 0.000023 | 0.000028 | 0.000003 | 0.000069 | 0.000153 | |
| 0.000022 | 0.000008 | 0.000044 | 0.006063 | 0.002395 | |
| 0.000019 | 0.000007 | 0.000002 | 0.000045 | 0.000104 | |
| 0.000016 | 0.000011 | 0.000010 | 0.001134 | 0.001234 | |
| 0.000009 | 0.000001 | 0.000005 | 0.001237 | 0.001952 | |
| 0.000003 | 0.000016 | 0.000025 | 0.000631 | 0.000665 | |
| 0.000002 | 0.000000 | 0.000000 | 0.000011 | 0.000004 | |
| 0.000001 | 0.000002 | 0.000000 | 0.000020 | 0.000014 | |
| 0.000000 | 0.000007 | 0.000002 | 0.000460 | 0.000131 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000039 | 0.000000 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000001 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
02In 2018
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Lowest
United Statesshared0.000000
Uruguayshared0.000000
São Tomé and Príncipeshared0.000000
Sudanshared0.000000
Argentinashared0.000000
Neither end is better. The values describe a shape, not a score. The middle country reads 0.001422. “Shared” marks a value another country also holds.
Each measure’s ends
Degraded in the year (million hectares)
Highest
Brazil0.799193
Lowest3 share it
Middle country: 0.002750
Regrowing forest (million hectares)
Highest
Brazil0.786342
Lowest2 share it
Middle country: 0.004231
Undisturbed forest (million hectares)
Highest
Brazil305.132328
Lowest
Uruguay0.000000
Middle country: 0.463622
Degraded forest (million hectares)
Highest
Brazil26.898835
Lowest
São Tomé and Príncipe0.000000
Middle country: 0.166524
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
- 100values changed, of 102 in both
- 34 · 66rose · fell
- 2unchanged
Rose most
Indonesia0.362164 → 0.417583+0.055419
Malaysia0.080637 → 0.089616+0.008979
Republic of the Congo0.027834 → 0.032206+0.004373
Colombia0.192075 → 0.196311+0.004236
Cambodia0.030250 → 0.034338+0.004088
Both years come from the same release, so a difference here is a change in the data, not a revision of it. 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.
One year of the 2026 release
Every year in this series comes from JRC’s 2026 release, recalculated on one method. It can differ from what was first published for 2018.
98 distinct values among 102
Values are stored exactly as published, to 12 decimals. 5 countries share 0.000000. 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 102 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.
- .csv
For a spreadsheet or code
102 rows · 9.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download tropical-deforestation-2018-nations-inquiry.csv - ↗
The publisher’s original
JRC’s own file, on its own site.
JRC_TMF_EvolutionChanges_1990_2025_vFebruary2026.csv
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: Copernicus free, full and open data (attribution required). The publisher’s own written permission to reuse, commercial use included. Read the terms before republishing.
Cite this edition
European Commission, Joint Research Centre (JRC) (2018). Tropical Moist Forest Deforestation, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/tropical-deforestation/2018
0636 held
Other years
‹ The year before
Tropical Moist Forest Deforestation, 2017102 countries
The year after ›
Tropical Moist Forest Deforestation, 2019101 countries
All of them
Tropical Moist Forest Deforestation: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Tropical Moist Forest Deforestation, 2018: questions and answers
Which country has the highest tropical deforestation in Tropical Moist Forest Deforestation, 2018?
Brazil, at 0.924141, of the 102 countries in the file.
What year does Tropical Moist Forest Deforestation, 2018 describe?
2018.
How many countries does Tropical Moist Forest Deforestation, 2018 cover?
102.
Where can I download Tropical Moist Forest Deforestation, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Tropical Moist Forest Deforestation, 2018 the newest?
No. The newest held here is Tropical Moist Forest Deforestation, 2025.