Data for 2023
Tropical Moist Forest Deforestation, 2023
2023, as JRC’s 2026 release gives it · stored as published, never rewritten
Tropical Moist Forest Deforestation, 2023 covers 100 countries on 5 measures. Brazil is highest, at 0.747666; 3 countries share the lowest reading, 0.000000. The middle country reads 0.000853. Against 2022, 98 values changed (49 up, 49 down), the same countries are covered.
Tropical Moist Forest Deforestation · Data for 2023
HighestBrazil
0.747666Lowest3 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, 2023, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 100 countries · select a heading to sort
| 0.747666 | 1.111967 | 1.168363 | 296.469213 | 29.574132 | |
| 0.333304 | 0.369195 | 0.473102 | 89.531309 | 22.364951 | |
| 0.254264 | 0.439166 | 0.801353 | 101.570107 | 13.687066 | |
| 0.167773 | 0.355524 | 0.183364 | 21.366979 | 5.943701 | |
| 0.101166 | 0.199463 | 0.041645 | 4.430884 | 3.092297 | |
| 0.063369 | 0.108038 | 0.185288 | 65.528077 | 4.606908 | |
| 0.054704 | 0.091386 | 0.052368 | 18.519708 | 2.339791 | |
| 0.048513 | 0.055049 | 0.065320 | 5.264643 | 2.396627 | |
| 0.047971 | 0.066869 | 0.065401 | 14.105752 | 5.437469 | |
| 0.044909 | 0.139796 | 0.296967 | 56.570379 | 6.367230 | |
| 0.042031 | 0.117953 | 0.018983 | 1.269361 | 1.468211 | |
| 0.039838 | 0.040331 | 0.116945 | 3.059061 | 1.339993 | |
| 0.031240 | 0.133150 | 0.176422 | 8.116501 | 4.382220 | |
| 0.027757 | 0.014173 | 0.007051 | 2.009044 | 0.549978 | |
| 0.026704 | 0.040765 | 0.136057 | 3.580864 | 1.719425 | |
| 0.021707 | 0.035641 | 0.091696 | 2.426930 | 2.148539 | |
| 0.021262 | 0.026797 | 0.249342 | 1.239935 | 1.610196 | |
| 0.021077 | 0.043777 | 0.003911 | 17.726652 | 0.631372 | |
| 0.020782 | 0.025258 | 0.110563 | 1.167454 | 1.456920 | |
| 0.020140 | 0.073647 | 0.027909 | 1.472895 | 0.808001 | |
| 0.019126 | 0.074120 | 0.095313 | 37.499283 | 3.365324 | |
| 0.018920 | 0.031746 | 0.100253 | 11.554915 | 2.137501 | |
| 0.017220 | 0.035422 | 0.167791 | 3.429317 | 2.038506 | |
| 0.016971 | 0.042480 | 0.242999 | 2.602556 | 2.014688 | |
| 0.016283 | 0.049803 | 0.004334 | 12.960537 | 0.496942 | |
| 0.011573 | 0.022192 | 0.021979 | 1.229740 | 0.825885 | |
| 0.010760 | 0.044798 | 0.199627 | 4.272759 | 2.560674 | |
| 0.010083 | 0.017039 | 0.102035 | 6.265241 | 1.843691 | |
| 0.009862 | 0.026326 | 0.066209 | 21.737298 | 1.379296 | |
| 0.009803 | 0.006265 | 0.104854 | 0.548550 | 0.709547 | |
| 0.008908 | 0.024730 | 0.077372 | 7.276144 | 4.034410 | |
| 0.007671 | 0.104888 | 0.199367 | 33.290985 | 5.482969 | |
| 0.007221 | 0.007581 | 0.086014 | 1.218807 | 0.683756 | |
| 0.006555 | 0.018914 | 0.002373 | 0.750423 | 0.371799 | |
| 0.005825 | 0.020793 | 0.043688 | 3.650805 | 1.708633 | |
| 0.004584 | 0.007635 | 0.017378 | 0.471214 | 0.530833 | |
| 0.003351 | 0.003526 | 0.052200 | 0.431651 | 0.306352 | |
| 0.003299 | 0.009581 | 0.011939 | 0.317285 | 0.390263 | |
| 0.002794 | 0.004530 | 0.031455 | 0.603634 | 0.313510 | |
| 0.002761 | 0.008747 | 0.015341 | 1.612260 | 0.414684 | |
| 0.002333 | 0.001751 | 0.014776 | 1.376381 | 0.634544 | |
| 0.002130 | 0.003104 | 0.019369 | 0.387015 | 0.358155 | |
| 0.002124 | 0.003340 | 0.076620 | 0.342655 | 0.538368 | |
| 0.001963 | 0.015304 | 0.019633 | 3.138718 | 0.711745 | |
| 0.001874 | 0.002567 | 0.035373 | 0.466872 | 0.176718 | |
| 0.001827 | 0.013721 | 0.017911 | 23.169318 | 0.721976 | |
| 0.001791 | 0.007363 | 0.029693 | 0.699886 | 0.656796 | |
| 0.001413 | 0.001124 | 0.002624 | 0.185685 | 0.169938 | |
| 0.001052 | 0.006813 | 0.036829 | 0.421426 | 0.261387 | |
| 0.000905 | 0.000073 | 0.002789 | 0.087032 | 0.034882 | |
| 0.000801 | 0.000324 | 0.011793 | 0.187627 | 0.062815 | |
| 0.000704 | 0.000339 | 0.001570 | 0.020114 | 0.012363 | |
| 0.000690 | 0.007937 | 0.002553 | 2.342260 | 0.214545 | |
| 0.000681 | 0.007493 | 0.000509 | 0.737301 | 0.272101 | |
| 0.000570 | 0.005558 | 0.002585 | 2.421345 | 0.178108 | |
| 0.000537 | 0.001694 | 0.003494 | 0.696303 | 0.179014 | |
| 0.000452 | 0.002757 | 0.002014 | 0.027899 | 0.061691 | |
| 0.000335 | 0.007544 | 0.029831 | 0.709853 | 0.448796 | |
| 0.000307 | 0.000408 | 0.000854 | 0.450885 | 0.053123 | |
| 0.000251 | 0.000564 | 0.003440 | 0.108228 | 0.038106 | |
| 0.000239 | 0.000840 | 0.000371 | 0.200305 | 0.084138 | |
| 0.000231 | 0.000076 | 0.002548 | 0.032273 | 0.012150 | |
| 0.000228 | 0.000014 | 0.002063 | 0.020381 | 0.018522 | |
| 0.000219 | 0.000195 | 0.010388 | 0.020059 | 0.046522 | |
| 0.000170 | 0.000240 | 0.006402 | 0.011656 | 0.029503 | |
| 0.000159 | 0.000343 | 0.009620 | 0.068371 | 0.059279 | |
| 0.000149 | 0.001490 | 0.006404 | 0.107021 | 0.161405 | |
| 0.000134 | 0.001198 | 0.000943 | 0.698568 | 0.115025 | |
| 0.000115 | 0.000142 | 0.002362 | 0.033733 | 0.037810 | |
| 0.000109 | 0.000285 | 0.000098 | 0.007485 | 0.004153 | |
| 0.000096 | 0.000279 | 0.001778 | 0.011714 | 0.013319 | |
| 0.000088 | 0.000476 | 0.000940 | 0.040297 | 0.018540 | |
| 0.000087 | 0.000139 | 0.002274 | 0.048115 | 0.032591 | |
| 0.000086 | 0.000292 | 0.000958 | 0.034112 | 0.019252 | |
| 0.000056 | 0.000500 | 0.010524 | 0.034969 | 0.258536 | |
| 0.000056 | 0.000008 | 0.000035 | 0.000028 | 0.001089 | |
| 0.000045 | 0.000101 | 0.001301 | 0.036071 | 0.015679 | |
| 0.000037 | 0.000181 | 0.000811 | 0.029762 | 0.010466 | |
| 0.000029 | 0.000211 | 0.000136 | 0.032132 | 0.031715 | |
| 0.000024 | 0.000178 | 0.000191 | 0.020653 | 0.005877 | |
| 0.000021 | 0.000130 | 0.000603 | 0.028507 | 0.009274 | |
| 0.000018 | 0.000028 | 0.000110 | 0.002015 | 0.004543 | |
| 0.000016 | 0.000019 | 0.000025 | 0.000503 | 0.001058 | |
| 0.000015 | 0.000009 | 0.000082 | 0.000491 | 0.000764 | |
| 0.000013 | 0.000000 | 0.000000 | 0.000085 | 0.000000 | |
| 0.000006 | 0.000018 | 0.000028 | 0.001006 | 0.001292 | |
| 0.000005 | 0.000056 | 0.000096 | 0.008107 | 0.010646 | |
| 0.000002 | 0.000028 | 0.000491 | 0.000587 | 0.004152 | |
| 0.000002 | 0.000011 | 0.000343 | 0.000891 | 0.001537 | |
| 0.000001 | 0.000001 | 0.000035 | 0.000021 | 0.000097 | |
| 0.000001 | 0.000003 | 0.000095 | 0.001215 | 0.001946 | |
| 0.000001 | 0.000000 | 0.000000 | 0.000017 | 0.000015 | |
| 0.000001 | 0.000020 | 0.000159 | 0.005951 | 0.002426 | |
| 0.000001 | 0.000015 | 0.000047 | 0.000267 | 0.001122 | |
| 0.000000 | 0.000001 | 0.000040 | 0.000048 | 0.000157 | |
| 0.000000 | 0.000005 | 0.000011 | 0.000444 | 0.000144 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | |
| 0.000000 | 0.000000 | 0.000001 | 0.000011 | 0.000004 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | |
| 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
02In 2023
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Lowest
Uruguayshared0.000000
Argentinashared0.000000
Anguillashared0.000000
United States0.000000
Seychelles0.000000
Neither end is better. The values describe a shape, not a score. The middle country reads 0.000853. “Shared” marks a value another country also holds.
Each measure’s ends
Degraded in the year (million hectares)
Highest
Brazil1.111967
Lowest
Argentina0.000000
Middle country: 0.002930
Regrowing forest (million hectares)
Highest
Brazil1.168363
Lowest
United States0.000000
Middle country: 0.006727
Undisturbed forest (million hectares)
Highest
Brazil296.469213
Lowest
Uruguay0.000000
Middle country: 0.441268
Degraded forest (million hectares)
Highest
Brazil29.574132
Lowest
Uruguay0.000000
Middle country: 0.236541
032022 → 2023
Since 2022
What changed between 2022 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 98values changed, of 100 in both
- 49 · 49rose · fell
- 2unchanged
Rose most
Fell most
Brazil1.371456 → 0.747666−0.623790
Colombia0.090721 → 0.044909−0.045812
Bolivia0.195157 → 0.167773−0.027384
Nigeria0.053722 → 0.026704−0.027018
Côte d’Ivoire0.042798 → 0.021262−0.021537
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 2023.
98 distinct values among 100
Values are stored exactly as published, to 14 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 100 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
100 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-2023-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) (2023). Tropical Moist Forest Deforestation, 2023 [data set], describing 2023. As held by Nations Inquiry, https://nationsinquiry.com/datasets/tropical-deforestation/2023
0636 held
Other years
‹ The year before
Tropical Moist Forest Deforestation, 2022100 countries
The year after ›
Tropical Moist Forest Deforestation, 2024100 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, 2023: questions and answers
Which country has the highest tropical deforestation in Tropical Moist Forest Deforestation, 2023?
Brazil, at 0.747666, of the 100 countries in the file.
What year does Tropical Moist Forest Deforestation, 2023 describe?
2023.
How many countries does Tropical Moist Forest Deforestation, 2023 cover?
100.
Where can I download Tropical Moist Forest Deforestation, 2023?
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, 2023 the newest?
No. The newest held here is Tropical Moist Forest Deforestation, 2025.