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World Bank · Environment

Tree Cover Loss

Shows year-by-year tree cover loss, defined as stand level replacement of vegetation greater than 5 meters, within the selected area. The tree cover loss data set is a collaboration of the University of Maryland, Google, USGS, and NASA, and uses Landsat satellite images to map annual tree cover loss at a 30 × 30 meter resolution. Note that “tree cover loss” is not the same as “deforestation” – tree cover loss includes change in both natural and planted forest, and does not need to be human caused. The data from 2011 onward were produced with an updated methodology that may capture additional loss. Comparisons between the original 2001-2010 data and future years should be performed with caution.

Coverage
190 of 238 countries
Latest data
2025
Series
190
Unit
hectares
Licence
CC BY 4.0
Retrieved
2026-11-05
Indicator
tree-cover-loss
Interva ID
worldbank-tree-cover-loss

Recency

current

data to 2025; catalog to 2025

Provenance

2 steps

as the publisher declares it

Versions

1

catalog snapshots

Citation

BibTeX + CSL

versioned permalink

Quality profile

This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.

Recency

100%

Latest observation is 2025; the catalog broadly reports to 2025, so this data is 0 year(s) behind (current).

Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.

Temporal completeness

100%

0 of 190 series skip at least one year inside their own span; the median series reports 100% of its years.

Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.

Geographic coverage

Measured

Covers 190 of the 238 countries in the catalog.

Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.

History depth

Measured

The median series has 25 observations; the earliest begins in 2001.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No observation has been restated in any vintage Interva has recorded.

Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.

Schema conformity

Not assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.

2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.

By country

Tree Cover Loss for each of the 190 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Afghanistan20259hectares
Albania20253825hectares
Algeria20254498hectares
Andorra202514hectares
Angola2025377,712hectares
Antigua and Barbuda202517hectares
Argentina2025197,870hectares
Armenia202536hectares
Australia2025384,105hectares
Austria202527,575hectares

Provenance

Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    Not named — the declaration is kept verbatim

    Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA).

    declared by worldbank in sourceOrganization

  2. Read from

    World Bank

    Environment, Social and Governance

    declared by worldbank in source

Versions

A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.

  • CurrentCurrent catalog snapshotchecksum not recorded

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Citation

Version: catalog snapshot 2026-11-05. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

World Bank (2026). Tree Cover Loss. Interva. https://interva.co/dataset/worldbank-tree-cover-loss (accessed 2026-11-07). catalog snapshot 2026-11-05.

BibTeX
@misc{interva-worldbank-tree-cover-loss,
  title        = {Tree Cover Loss},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-tree-cover-loss}},
  note         = {Interva dataset worldbank-tree-cover-loss; catalog snapshot 2026-11-05},
  urldate      = {2026-11-07}
}

DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.

API access

Every fact on this page is available from the API.

curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-tree-cover-loss
curl -o worldbank-tree-cover-loss.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-tree-cover-loss/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-tree-cover-loss/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-tree-cover-loss/quality

Full schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs

Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.

Tree Cover Loss · World Bank · Interva