Forest area (% of land area)
Forest area as a share of total land area, for the 8-country panel (USA, Canada, UK, Germany, France, Japan, China, India). Forest is natural or planted stands of trees at least 5 metres tall in situ, whether productive or not; tree stands in agricultural systems (fruit plantations, agroforestry) and trees in urban parks and gardens are excluded. The World Bank publishes the indicator in the World Development Indicators from FAOSTAT, the Food and Agriculture Organization of the United Nations (vintage last updated 2026-07-13) - the connector's first FAO-sourced dataset. Japan is the most forested panel member (68.40% in 2023) and the UK the least (13.29%); China's series climbs steadily (23.63% in 2021 to 24.03% in 2023, reflecting its large-scale afforestation programmes) while most others are flat year to year, which is a genuine upstream phenomenon (FAO assessments repeat the last value between reporting years) and is kept verbatim, never interpolated. Values are null where national statistics are unavailable. Units: % of land area.
- Source
- World Bank
- Rows
- 208
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 25, 2026
- Theme
- environment
| Column | Type | Description |
|---|---|---|
| country_code | string | ISO 3166-1 alpha-3 country code (World Bank API field countryiso3code). |
| country_name | string | Country name as published by the World Bank API. |
| year | integer | Calendar year of the observation (World Bank API field date). |
| value | float | Indicator value for the country and year, as defined by the World Bank indicator (see the dataset description). Missing values are null. (unit: % of land area) |
- Current
20260925T011653Z-7309fb95bc3f · sha256 7309fb95bc3f…
208 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/world_bank/forest_area_share" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/world_bank/forest_area_share").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/world_bank/forest_area_share
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260925T011653Z-7309fb95bc3f and its content hash, so readers get exactly the data you used.
World Bank. (2026). Forest area (% of land area) [Data set, snapshot 20260925T011653Z-7309fb95bc3f, sha256 7309fb95bc3f]. Datazimuts. Retrieved 2026-09-25, from https://datazimuts.com/en/datasets/world_bank/forest_area_share?snapshot=20260925T011653Z-7309fb95bc3f
@misc{dz_world_bank_forest_area_share_7309fb95,
title = {{Forest area (\% of land area)}},
author = {{World Bank}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/world_bank/forest_area_share?snapshot=20260925T011653Z-7309fb95bc3f}},
note = {Snapshot 20260925T011653Z-7309fb95bc3f, sha256 7309fb95bc3f2617818a8a7cf8cdf1058826bc4dbabb29d0fb0a47e65dea4ace; accessed 2026-09-25}
}Embed a table or a chart
Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.
<iframe src="https://datazimuts.com/embed/chart?dataset=world_bank%2Fforest_area_share&lang=en&theme=auto&snapshot=20260925T011653Z-7309fb95bc3f&x=year&y=year&agg=avg" title="Forest area (% of land area)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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