Deforestation · 10 km around the city · 2001–2025
Deforestation around Marabá
Since 2001, the area within 10 km of Marabá has lost about 6,660 hectares of forest (about 9,300 football pitches): 38% of the forest it had in 2000. Most of it (over 99%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.
- Forest in 2000
- 17,400 hawithin 10 km of the centre
- Forest lost since 2001
- 6,660 ha38% of it, about 9,300 football pitches
- Cleared for good
- 6,650 hadeforestation, over 99% of the loss
- Worst year
- 2016778 ha lost
Satellite timelapse
2017: satellite photo from July 2017 of a 5 × 5 km area about 4 km south of the city centre.
Satellite photos of the same 5 × 5 km area, one per year, all taken in the same season so the colours compare. You can see forest being cleared and towns spreading, though not single trees. Download the before/after image (free to reuse with credit to Airleaf).
Year by year
Forest lost around Marabá, year by year
Forest loss is slowing down: about 246 hectares a year in 2021–2025, down from 458 hectares a year in 2016–2020. The worst year was 2016, when about 778 hectares of forest were lost.
Hectares of forest lost each year
Show the figures as a table
| Year | Cleared for good | Can grow back | Total |
|---|---|---|---|
| 2001 | 180 ha | under 1 ha | 180 ha |
| 2002 | 152 ha | 1 ha | 153 ha |
| 2003 | 109 ha | under 1 ha | 109 ha |
| 2004 | 169 ha | under 1 ha | 169 ha |
| 2005 | 574 ha | under 1 ha | 574 ha |
| 2006 | 251 ha | 1 ha | 252 ha |
| 2007 | 402 ha | 1 ha | 403 ha |
| 2008 | 212 ha | under 1 ha | 212 ha |
| 2009 | 80 ha | under 1 ha | 80 ha |
| 2010 | 181 ha | under 1 ha | 181 ha |
| 2011 | 192 ha | 1 ha | 193 ha |
| 2012 | 141 ha | under 1 ha | 141 ha |
| 2013 | 157 ha | under 1 ha | 157 ha |
| 2014 | 108 ha | under 1 ha | 108 ha |
| 2015 | 222 ha | under 1 ha | 222 ha |
| 2016 | 777 ha | 1 ha | 778 ha |
| 2017 | 457 ha | 1 ha | 458 ha |
| 2018 | 310 ha | under 1 ha | 310 ha |
| 2019 | 397 ha | 1 ha | 398 ha |
| 2020 | 347 ha | under 1 ha | 347 ha |
| 2021 | 160 ha | 1 ha | 161 ha |
| 2022 | 219 ha | 1 ha | 220 ha |
| 2023 | 250 ha | under 1 ha | 250 ha |
| 2024 | 309 ha | under 1 ha | 309 ha |
| 2025 | 290 ha | under 1 ha | 290 ha |
Forest gained and lost, 2000–2020
- Forest in 2000
- 12,900 ha
- Forest in 2020
- 10,800 ha
- Overall change
- −2,060 haless forest than in 2000
Comparing satellite maps from 2000 and 2020, the forest around Marabá shrank from about 12,900 hectares to 10,800 hectares, a net loss of about 2,060 hectares (−16%). New forest grew on about 528 hectares, but 2,590 hectares were lost.
These 2000 and 2020 maps, from the University of Maryland, count any land with trees taller than 5 m as forest, including plantations and orchards. Forest that was cut or burned and had grown back by 2020 counts in both years, so the loss here is smaller than the yearly figures.
Causes
What is causing deforestation around Marabá?
- over 99%cleared for good (deforestation)
- Farms, pasture and plantations83% · 5,530 ha
Cleared for good. Forest cleared for crops, cattle pasture or tree plantations: the biggest cause of deforestation in the world.
- Towns and roads11% · 706 ha
Cleared for good. Forest replaced by houses, buildings and roads.
- Mining and energy6.2% · 410 ha
Cleared for good. Forest cleared for mines, oil and gas, power lines and dams.
Also, each under 1%: shifting farming, storms, floods and other natural causes, logging, unknown causes.
Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.
Nearby cities losing forest
Use this data
Put Marabá's forest loss on your site
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Frequently asked
Questions about deforestation around Marabá
How much forest has Marabá lost since 2001?
Since 2001, the area within 10 km of Marabá has lost about 6,660 hectares of forest (about 9,300 football pitches): 38% of the forest it had in 2000. Most of it (over 99%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.
Is deforestation around Marabá getting worse?
Forest loss is slowing down: about 246 hectares a year in 2021–2025, down from 458 hectares a year in 2016–2020. These are five-year averages from 2011 on, the years the satellite maps were all made the same way.
What is causing deforestation around Marabá?
The main causes of forest loss since 2001 are farms, pasture and plantations (83%), towns and roads (11%), mining and energy (6.2%). About 6,650 hectares was deforestation, meaning forest cleared for good for farms, mines or towns. Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.
What was the worst year for forest loss around Marabá?
The worst year was 2016, when about 778 hectares of forest were lost.
Is the forest around Marabá growing or shrinking?
Comparing satellite maps from 2000 and 2020, the forest around Marabá shrank from about 12,900 hectares to 10,800 hectares, a net loss of about 2,060 hectares (−16%). New forest grew on about 528 hectares, but 2,590 hectares were lost. These 2000 and 2020 maps, from the University of Maryland, count any land with trees taller than 5 m as forest, including plantations and orchards. Forest that was cut or burned and had grown back by 2020 counts in both years, so the loss here is smaller than the yearly figures.
Can I see satellite images of Marabá over the years?
Yes. The timelapse at the top of this page has a satellite photo for every year from 2017 to 2026 of a 5 × 5 km area near Marabá, where the most forest was lost. Press play to watch it change, or turn on "Show cleared forest" to see exactly where trees were lost.
How is forest loss measured?
We use satellite maps from the University of Maryland (Hansen and colleagues) that show, for every 30 × 30 m patch of land on Earth, the year its trees were cut down, burned or died, from 2001 to 2025. We add up those patches within 10 km of the centre of Marabá, counting only places that were at least 30% covered by trees in 2000. The cause of each loss comes from a map made by the World Resources Institute and Google DeepMind. All figures are estimates.