Armenia, Republic of vs Brunei Darussalam: Forest area, 1000 Hectares
Armenia, Republic of
327.63
in 2023
Brunei Darussalam
380
in 2023
Armenia, Republic of rank
151st
Brunei Darussalam rank
148th
Forest area, 1000 Hectares over time
- Armenia, Republic of
- Brunei Darussalam
How they compare
Brunei Darussalam currently reports 380 against 327.63 in Armenia, Republic of, a difference of 52.37.
That makes Brunei Darussalam's figure about 1.2 times Armenia, Republic of's.
Across all 32 years both countries report, Brunei Darussalam has been ahead every year.
Armenia, Republic of ranks 151st and Brunei Darussalam ranks 148th of 225 countries.
Brunei Darussalam has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Armenia, Republic of | Brunei Darussalam | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 333.58 | 404.2 | 70.62 | Brunei Darussalam |
| 2000s | 331.7 | 389.35 | 57.65 | Brunei Darussalam |
| 2010s | 329.62 | 380 | 50.38 | Brunei Darussalam |
| 2020s | 328.1 | 380 | 51.9 | Brunei Darussalam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher forest area, 1000 hectares, Armenia, Republic of or Brunei Darussalam?
- Brunei Darussalam, at 380 against 327.63 in Armenia, Republic of as of 2023.
- What is the difference in forest area, 1000 hectares between Armenia, Republic of and Brunei Darussalam?
- 52.37, with Brunei Darussalam ahead.
- How many years of comparable data are there for Armenia, Republic of and Brunei Darussalam?
- 32 years are reported by both, from 1992 to 2023.
- How do Armenia, Republic of and Brunei Darussalam rank globally for forest area, 1000 hectares?
- Armenia, Republic of ranks 151st and Brunei Darussalam ranks 148th of 225 countries.
- Where does this data come from?
- International Monetary Fund, published as Forest area, 1000 Hectares (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.