Which has higher tree-covered areas — area from cci_lc, Cameroon or United Republic of Tanzania?

United Republic of Tanzania, at 37,312 1000 ha against 35,626 1000 ha in Cameroon as of 2022.

What is the difference in tree-covered areas — area from cci_lc between Cameroon and United Republic of Tanzania?

1,686 1000 ha, with United Republic of Tanzania ahead.

How many years of comparable data are there for Cameroon and United Republic of Tanzania?

31 years are reported by both, from 1992 to 2022.

Where does this data come from?

Food and Agriculture Organization of the United Nations, published as Tree-covered areas — Area from CCI_LC. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Cameroon vs United Republic of Tanzania: Tree-covered areas — Area from CCI_LC

Cameroon

35,626 1000 ha

in 2022

United Republic of Tanzania

37,312 1000 ha

in 2022

Cameroon rank

18th

United Republic of Tanzania rank

7th

Tree-covered areas — Area from CCI_LC over time

Cameroon
United Republic of Tanzania

How they compare

United Republic of Tanzania currently reports 37,312 1000 ha against 35,626 1000 ha in Cameroon, a difference of 1,686 1000 ha.

Across all 31 years both countries report, United Republic of Tanzania has been ahead every year.

Cameroon ranks 18th and United Republic of Tanzania ranks 7th of 224 countries.

United Republic of Tanzania has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade	Cameroon	United Republic of Tanzania	Difference	Ahead
1990s	35,954 1000 ha	36,802 1000 ha	847.44 1000 ha	United Republic of Tanzania
2000s	35,819 1000 ha	36,290 1000 ha	471.36 1000 ha	United Republic of Tanzania
2010s	35,733 1000 ha	36,823 1000 ha	1,090 1000 ha	United Republic of Tanzania
2020s	35,650 1000 ha	37,325 1000 ha	1,675 1000 ha	United Republic of Tanzania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher tree-covered areas — area from cci_lc, Cameroon or United Republic of Tanzania?: United Republic of Tanzania, at 37,312 1000 ha against 35,626 1000 ha in Cameroon as of 2022.
What is the difference in tree-covered areas — area from cci_lc between Cameroon and United Republic of Tanzania?: 1,686 1000 ha, with United Republic of Tanzania ahead.
How many years of comparable data are there for Cameroon and United Republic of Tanzania?: 31 years are reported by both, from 1992 to 2022.
How do Cameroon and United Republic of Tanzania rank globally for tree-covered areas — area from cci_lc?: Cameroon ranks 18th and United Republic of Tanzania ranks 7th of 224 countries.
Where does this data come from?: Food and Agriculture Organization of the United Nations, published as Tree-covered areas — Area from CCI_LC. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Cameroon vs United Republic of Tanzania: Tree-covered areas — Area from CCI_LC. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/compare/tree-covered-areas-area-from-cci-lc/cameroon/united-republic-of-tanzania/

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About this data

Indicator: Tree-covered areas — Area from CCI_LC
Unit: 1000 ha
Source: Food and Agriculture Organization of the United Nations
Licence: CC BY-NC-SA 3.0 IGO (FAO)
Coverage: 270 places, 8,231 data points, 1992–2022
Last refreshed: 12 August 2026

The FAOSTAT domain on Land Cover data under the Agri-Environmental Indicators section contains land cover information organized by the land cover classes of the international standard system for Environmental and Economic Accounting Central Framework (SEEA CF). The land cover information is compiled from publicly available Global Land Cover (GLC) maps: a) MODIS land cover types based on the Land Cover Classification System, LCCS; b) The European Spatial Agency (ESA) Climate Change Initiative (CCI) annual land cover maps produced by the Université catholique de Louvain (UCL)-Geomatics and now under the European Copernicus Program; c) The annual land cover maps which were produced under the European Copernicus Global Land Service (CGLS) (CGLS land cover, containing discrete land cover categorization), with spatial resolution 100m; and d) the WorldCover maps of the European Space Agency, produced at 10m resolution.