Data for 2019
Tropical Moist Forest Deforestation, 2019
2019, as JRC’s 2026 release gives it · stored as published, never rewritten
Tropical Moist Forest Deforestation, 2019 covers 101 countries on 5 measures. Brazil is highest, at 1.078142; 3 countries share the lowest reading, 0.000000. The middle country reads 0.001657. Against 2018, 98 values changed (56 up, 42 down), 1 left.
Tropical Moist Forest Deforestation · Data for 2019
HighestBrazil
1.078142Lowest3 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, 2019, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 101 countries · select a heading to sort
| 1.078142 | 0.794644 | 0.677804 | 303.635010 | 27.318010 | |
| 0.435744 | 0.645738 | 0.623374 | 91.408588 | 21.562450 | |
| 0.380165 | 0.507012 | 0.388592 | 104.230551 | 12.207675 | |
| 0.173144 | 0.164301 | 0.050123 | 22.925546 | 5.148609 | |
| 0.132938 | 0.164087 | 0.210809 | 57.469494 | 5.917910 | |
| 0.093702 | 0.124010 | 0.092297 | 66.279972 | 4.163270 | |
| 0.085428 | 0.125554 | 0.083365 | 14.513856 | 5.236696 | |
| 0.082273 | 0.112283 | 0.058148 | 5.017664 | 2.832238 | |
| 0.075185 | 0.031515 | 0.005110 | 2.196655 | 0.526311 | |
| 0.066458 | 0.181837 | 0.060944 | 37.943745 | 3.026301 | |
| 0.063929 | 0.107376 | 0.125391 | 8.578903 | 4.070547 | |
| 0.057866 | 0.053706 | 0.010009 | 1.730537 | 1.202318 | |
| 0.055501 | 0.039776 | 0.099352 | 1.436364 | 1.559878 | |
| 0.052905 | 0.058291 | 0.052570 | 19.132915 | 1.988698 | |
| 0.052514 | 0.117898 | 0.046864 | 7.564895 | 3.827181 | |
| 0.052464 | 0.117056 | 0.040734 | 2.611648 | 2.062814 | |
| 0.046441 | 0.039501 | 0.034426 | 3.966206 | 1.548412 | |
| 0.042190 | 0.045093 | 0.062383 | 1.356047 | 1.387473 | |
| 0.038749 | 0.042074 | 0.076788 | 3.616194 | 1.932643 | |
| 0.038537 | 0.033773 | 0.011236 | 1.715691 | 0.674861 | |
| 0.036129 | 0.027060 | 0.007169 | 0.492289 | 0.431853 | |
| 0.035589 | 0.029654 | 0.045692 | 3.321893 | 1.245913 | |
| 0.032727 | 0.053433 | 0.105213 | 4.456036 | 2.439742 | |
| 0.032644 | 0.082086 | 0.073760 | 5.615963 | 2.184647 | |
| 0.032225 | 0.026975 | 0.078654 | 2.799243 | 1.913129 | |
| 0.028246 | 0.072254 | 0.021638 | 21.929123 | 1.244596 | |
| 0.024711 | 0.021925 | 0.037958 | 0.613642 | 0.690894 | |
| 0.022885 | 0.037375 | 0.098183 | 6.422402 | 1.749288 | |
| 0.020438 | 0.040545 | 0.062118 | 11.785948 | 1.987150 | |
| 0.018788 | 0.130924 | 0.116305 | 33.799853 | 5.024816 | |
| 0.017300 | 0.058233 | 0.017747 | 1.350563 | 0.747703 | |
| 0.016682 | 0.014935 | 0.047328 | 1.285592 | 0.653935 | |
| 0.013406 | 0.034111 | 0.024460 | 3.784627 | 1.607582 | |
| 0.011316 | 0.032436 | 0.000754 | 0.807545 | 0.336461 | |
| 0.009777 | 0.030977 | 0.009205 | 3.201511 | 0.660862 | |
| 0.009643 | 0.008073 | 0.027975 | 0.462053 | 0.293633 | |
| 0.008218 | 0.022197 | 0.008960 | 17.841914 | 0.556429 | |
| 0.007019 | 0.020154 | 0.006492 | 13.091951 | 0.403024 | |
| 0.006759 | 0.019020 | 0.025983 | 0.732008 | 0.636957 | |
| 0.006352 | 0.006123 | 0.004364 | 0.344777 | 0.375283 | |
| 0.004850 | 0.030122 | 0.008112 | 23.245282 | 0.656884 | |
| 0.004324 | 0.011011 | 0.006115 | 0.442133 | 0.247262 | |
| 0.004165 | 0.032991 | 0.033443 | 1.393387 | 0.621596 | |
| 0.003787 | 0.011130 | 0.010486 | 1.636878 | 0.398208 | |
| 0.003220 | 0.005976 | 0.005582 | 0.405648 | 0.347494 | |
| 0.003055 | 0.003854 | 0.021667 | 0.485495 | 0.169714 | |
| 0.002800 | 0.002634 | 0.008108 | 0.632013 | 0.299805 | |
| 0.002573 | 0.008243 | 0.000874 | 2.448063 | 0.156142 | |
| 0.002117 | 0.003374 | 0.015343 | 0.506029 | 0.515869 | |
| 0.001734 | 0.013400 | 0.000566 | 2.394159 | 0.167966 | |
| 0.001657 | 0.000649 | 0.001125 | 0.013749 | 0.029261 | |
| 0.001539 | 0.002118 | 0.002444 | 0.197981 | 0.056950 | |
| 0.001441 | 0.005576 | 0.000952 | 0.705411 | 0.110188 | |
| 0.001325 | 0.006498 | 0.011761 | 0.746869 | 0.414021 | |
| 0.001210 | 0.001305 | 0.001566 | 0.033612 | 0.058503 | |
| 0.000943 | 0.000362 | 0.000583 | 0.023169 | 0.012192 | |
| 0.000769 | 0.001631 | 0.001795 | 0.191709 | 0.166497 | |
| 0.000739 | 0.002535 | 0.001509 | 0.771770 | 0.239943 | |
| 0.000733 | 0.000729 | 0.006400 | 0.735983 | 0.145873 | |
| 0.000710 | 0.000516 | 0.001131 | 0.035205 | 0.037387 | |
| 0.000581 | 0.001374 | 0.004625 | 0.070620 | 0.058108 | |
| 0.000579 | 0.001657 | 0.000542 | 0.203393 | 0.082149 | |
| 0.000448 | 0.001329 | 0.007430 | 0.113616 | 0.155786 | |
| 0.000442 | 0.000380 | 0.003731 | 0.021742 | 0.046187 | |
| 0.000392 | 0.000690 | 0.000668 | 0.453791 | 0.051511 | |
| 0.000352 | 0.000092 | 0.000015 | 0.031160 | 0.009541 | |
| 0.000340 | 0.000266 | 0.001854 | 0.036440 | 0.257880 | |
| 0.000330 | 0.000521 | 0.000924 | 0.090581 | 0.032761 | |
| 0.000270 | 0.000175 | 0.000530 | 0.013526 | 0.012760 | |
| 0.000270 | 0.000248 | 0.002345 | 0.110502 | 0.037247 | |
| 0.000264 | 0.000433 | 0.000021 | 0.033186 | 0.030880 | |
| 0.000192 | 0.000108 | 0.000010 | 0.000654 | 0.000975 | |
| 0.000190 | 0.000375 | 0.001462 | 0.041782 | 0.017530 | |
| 0.000180 | 0.000226 | 0.000473 | 0.033631 | 0.011662 | |
| 0.000176 | 0.000336 | 0.002899 | 0.049237 | 0.032034 | |
| 0.000163 | 0.000769 | 0.002234 | 0.034966 | 0.018704 | |
| 0.000134 | 0.000152 | 0.000096 | 0.008106 | 0.003841 | |
| 0.000115 | 0.000060 | 0.000011 | 0.022229 | 0.004644 | |
| 0.000109 | 0.000049 | 0.000955 | 0.036545 | 0.015578 | |
| 0.000096 | 0.000080 | 0.000003 | 0.000115 | 0.001278 | |
| 0.000088 | 0.000186 | 0.001323 | 0.021604 | 0.017833 | |
| 0.000055 | 0.000000 | 0.000000 | 0.000379 | 0.000000 | |
| 0.000045 | 0.000041 | 0.000006 | 0.006017 | 0.002395 | |
| 0.000045 | 0.000041 | 0.000288 | 0.029043 | 0.008885 | |
| 0.000041 | 0.000079 | 0.000027 | 0.008282 | 0.010523 | |
| 0.000039 | 0.000025 | 0.000044 | 0.002230 | 0.004464 | |
| 0.000035 | 0.000017 | 0.000131 | 0.000701 | 0.004086 | |
| 0.000028 | 0.000018 | 0.000018 | 0.001109 | 0.001232 | |
| 0.000014 | 0.000008 | 0.000012 | 0.000296 | 0.001121 | |
| 0.000011 | 0.000002 | 0.000005 | 0.000039 | 0.000099 | |
| 0.000009 | 0.000002 | 0.000026 | 0.000985 | 0.001515 | |
| 0.000009 | 0.000044 | 0.000010 | 0.000586 | 0.000701 | |
| 0.000008 | 0.000003 | 0.000004 | 0.001233 | 0.001948 | |
| 0.000006 | 0.000008 | 0.000011 | 0.000057 | 0.000159 | |
| 0.000001 | 0.000001 | 0.000011 | 0.000458 | 0.000133 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000011 | 0.000004 | |
| 0.000000 | 0.000001 | 0.000000 | 0.000019 | 0.000015 | |
| 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 | 0.000000 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
02In 2019
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
Argentina0.000000
Aruba0.000000
Neither end is better. The values describe a shape, not a score. The middle country reads 0.001657. “Shared” marks a value another country also holds.
Each measure’s ends
Degraded in the year (million hectares)
Highest
Brazil0.794644
Lowest2 share it
Middle country: 0.003374
Regrowing forest (million hectares)
Highest
Brazil0.677804
Lowest3 share it
Middle country: 0.004364
Undisturbed forest (million hectares)
Highest
Brazil303.635010
Lowest
Uruguay0.000000
Middle country: 0.462053
Degraded forest (million hectares)
Highest
Brazil27.318010
Lowest
São Tomé and Príncipe0.000000
Middle country: 0.169714
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −1countries joined / left
- 98values changed, of 101 in both
- 56 · 42rose · fell
- 3unchanged
Rose most
Brazil0.924141 → 1.078142+0.154001
Bolivia0.103143 → 0.173144+0.070001
Cambodia0.034338 → 0.075185+0.040847
Philippines0.019018 → 0.052514+0.033496
Laos0.054808 → 0.082273+0.027465
Fell most
Colombia0.196311 → 0.132938−0.063373
Ghana0.087515 → 0.042190−0.045325
Côte d’Ivoire0.100596 → 0.055501−0.045095
DR Congo0.415024 → 0.380165−0.034859
Nigeria0.076212 → 0.046441−0.029771
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 2019.
99 distinct values among 101
Values are stored exactly as published, to 15 decimals. 3 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 101 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
101 rows · 9.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download tropical-deforestation-2019-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) (2019). Tropical Moist Forest Deforestation, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/tropical-deforestation/2019
0636 held
Other years
‹ The year before
Tropical Moist Forest Deforestation, 2018102 countries
The year after ›
Tropical Moist Forest Deforestation, 2020101 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, 2019: questions and answers
Which country has the highest tropical deforestation in Tropical Moist Forest Deforestation, 2019?
Brazil, at 1.078142, of the 101 countries in the file.
What year does Tropical Moist Forest Deforestation, 2019 describe?
2019.
How many countries does Tropical Moist Forest Deforestation, 2019 cover?
101.
Where can I download Tropical Moist Forest Deforestation, 2019?
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, 2019 the newest?
No. The newest held here is Tropical Moist Forest Deforestation, 2025.