15.4.2 Mountain area: Remaining moutain area — Value in Western Asia and Northern Africa
Western Asia and Northern Africa: 15.4.2 Mountain area: Remaining moutain area — Value was 1.25 million km2 in 2021. ▬ Flat
15.4.2 Mountain area: Remaining moutain area — Value in Western Asia and Northern Africa, 2000–2021
Source: Food and Agriculture Organization of the United Nations. Measured in km2.
Analysis
In 2021, 15.4.2 mountain area: remaining moutain area — value in Western Asia and Northern Africa stood at 1.25 million km2. That is the lowest value across all 6 years on record.
The figure is down 0.1% over ten years.
Over the whole period, 15.4.2 mountain area: remaining moutain area — value in Western Asia and Northern Africa peaked at 1.25 million km2 in 2000 and was at its lowest, 1.25 million km2, in 2021.
Western Asia and Northern Africa ranks 9th of 21 groups on this measure, in the middle of the range.
15.4.2 Mountain area: Remaining moutain area — Value in Western Asia and Northern Africa, year by year
| Year | km2 | Change |
|---|---|---|
| 2000 | 1.25 million km2 | — |
| 2005 | 1.25 million km2 | -0.1% |
| 2010 | 1.25 million km2 | -0.0% |
| 2015 | 1.25 million km2 | -0.0% |
| 2018 | 1.25 million km2 | -0.0% |
| 2021 | 1.25 million km2 | -0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1.25 million km2 | 1.25 million km2 | 1.25 million km2 | 2 |
| 2010s | 1.25 million km2 | 1.25 million km2 | 1.25 million km2 | 3 |
| 2020s | 1.25 million km2 | 1.25 million km2 | 1.25 million km2 | 1 |
Countries ranked near Western Asia and Northern Africa
- 6 India 379,340 km2 compare
- 6 United Republic of Tanzania 223,164 km2 compare
- 7 Lao People's Democratic Republic 170,690 km2 compare
- 7 South Africa 327,698 km2 compare
- 8 Bolivia (Plurinational State of) 157,197 km2 compare
- 8 Myanmar 311,408 km2 compare
- 9 Peru 278,507 km2 compare
- 9 Viet Nam 138,162 km2 compare
- 10 Madagascar 235,256 km2 compare
- 10 Syrian Arab Republic 22,293 km2 compare
- 11 Colombia 231,395 km2 compare
- 11 Democratic People's Republic of Korea 9,542 km2 compare
- 12 Saudi Arabia 223,098 km2 compare
- 12 Timor-Leste 9,210 km2 compare
More economy & growth data for Western Asia and Northern Africa
- 2.5.1b Number of transboundary breeds (including extinct ones) — Value 156 No (2025)
- 2.5.2 Number of transboundary breeds with unknown risk status — Value 105 No (2025)
- 2.5.2 Number of transboundary breeds (not extinct) — Value 148 No (2025)
- 2.5.2 Number of local breeds with unknown risk status — Value 372 No (2025)
- 2.5.2 Number of local breeds (not extinct) — Value 525 No (2025)
- 2.5.1b Number of local breeds kept in the country — Value 576 No (2025)
- Prevalence of anemia among women of reproductive age (15-49 years) 30.2 % (2023)
- 2.5.2 Proportion of local breeds classified as being at risk of 24.84 % (2025)
- 2.1.1 Prevalence of undernourishment — Value 11.5 % (2025)
- 15.6.1 Total reported number of Standard Material Transfer Agreements 10,616 No (2025)
Frequently asked questions
- What is 15.4.2 mountain area: remaining moutain area — value in Western Asia and Northern Africa?
- 15.4.2 mountain area: remaining moutain area — value in Western Asia and Northern Africa was 1.25 million km2 in 2021, according to Food and Agriculture Organization of the United Nations.
- What is the highest 15.4.2 mountain area: remaining moutain area — value recorded in Western Asia and Northern Africa?
- The highest recorded value was 1.25 million km2 in 2000.
- What is the lowest 15.4.2 mountain area: remaining moutain area — value recorded in Western Asia and Northern Africa?
- The lowest recorded value was 1.25 million km2 in 2021.
- How does Western Asia and Northern Africa rank for 15.4.2 mountain area: remaining moutain area — value?
- Western Asia and Northern Africa ranks 9th out of 21 groups with data for 2021.
- Is 15.4.2 mountain area: remaining moutain area — value rising or falling in Western Asia and Northern Africa?
- Over the last ten years it is down 0.1%. The long-run trend across the full record is flat.
- Where does this Western Asia and Northern Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of 15.4.2 Mountain area: Remaining moutain area — Value. Statizoid updates them automatically from the source API.
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About this data
As the custodian agency of 22 SDG indicators, the Food and Agriculture Organization of the United Nations (FAO) is responsible for curating and refining the methodologies of these indicators, collecting data from national sources, ensuring their quality and compatibility with applicable standards and classifications, and disseminating data at global level. This FAOSTAT domain complements the global SDG database administered by the United Nations Statistical Division (UNSD), as well as FAO’s SDG indicators portal, by providing access to the available data for all SDG Indicators under FAO custodianship. While this metadata page provides summary information on all SDG indicators data disseminated through FAOSTAT, indicator-specific metadata can be accessed from the link on the right hand navigation column. This additional metadata file provides details on the methodology used to compile each indicators, their data sources and the contact information of the relevant FAO focal point. It includes the links to the official SDG Indicator metadata documents accessible from the UNSD global SDG database.SDG Indicators under FAO custodianship, consisting of 22 indicators and 66 series that fall under six goals: • Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture.• Goal 5: Achieve gender equality and empower all women and girls.• Goal 6: Clean water and sanitation: Ensure availability and sustainable management of water and sanitation for all.• Goal 12: Responsible consumption and production.• Goal 14: Life below water: Conserve and sustainably use the oceans, seas and marine resources.• Goal 15: Life on land: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss.