Tree Cover Loss in Turkmenistan
Turkmenistan: Tree Cover Loss was 0 hectares in 2025. ◆ Volatile
Tree Cover Loss in Turkmenistan, 2001–2025
Source: Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA). Measured in hectares.
Analysis
The most recent figure for tree cover loss in Turkmenistan is 0 hectares, measured in 2025. That is the lowest value across all 25 years on record.
Over the whole period, tree cover loss in Turkmenistan peaked at 105 hectares in 2002 and was at its lowest, 0 hectares, in 2013.
Turkmenistan ranks 167th of 190 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 48.44 hectares | 13 hectares | 105 hectares | 9 |
| 2010s | 3.6 hectares | 0 hectares | 17 hectares | 10 |
| 2020s | 0 hectares | 0 hectares | 0 hectares | 6 |
Countries ranked near Turkmenistan
- 165 Botswana 1 hectares compare
- 165 Tajikistan 1 hectares compare
- 167 Bahrain 0 hectares
- 167 Burkina Faso 0 hectares compare
- 167 Cabo Verde 0 hectares compare
- 167 Djibouti 0 hectares
- 167 Eritrea 0 hectares compare
- 167 Iceland 0 hectares
- 167 Kiribati 0 hectares
- 167 Kuwait 0 hectares
- 167 Malta 0 hectares compare
- 167 Mauritania 0 hectares compare
- 167 Micronesia (Federated States of) 0 hectares compare
- 167 Monaco 0 hectares
- 167 Nauru 0 hectares
- 167 Niger 0 hectares compare
- 167 Oman 0 hectares
- 167 Qatar 0 hectares
- 167 San Marino 0 hectares compare
- 167 Sao Tome and Principe 0 hectares compare
- 167 Saudi Arabia 0 hectares
- 167 Seychelles 0 hectares compare
- 167 Tuvalu 0 hectares
- 167 United Arab Emirates 0 hectares
- 167 Yemen 0 hectares
More agriculture & rural data for Turkmenistan
- Agriculture, forestry, and fishing, value added (current US$), annual 14.36 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1236 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 808.11 current US$ per person (2025)
- Rural population, annual growth rate 1.63 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.5289 units per person (2025)
- Agriculture share gdp 12.36 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 12.36 (2025)
- Rural population 52.9% (2025)
- Rural population growth 1.6% (2025)
Frequently asked questions
- What is tree cover loss in Turkmenistan?
- Tree cover loss in Turkmenistan was 0 hectares in 2025, according to Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA).
- What is the highest tree cover loss recorded in Turkmenistan?
- The highest recorded value was 105 hectares in 2002.
- What is the lowest tree cover loss recorded in Turkmenistan?
- The lowest recorded value was 0 hectares in 2013.
- How does Turkmenistan rank for tree cover loss?
- Turkmenistan ranks 167th out of 190 countries with data for 2025.
- Where does this Turkmenistan data come from?
- The figures come from Global Forest Watch. Tree Cover Loss (Hansen/UMD/Google/USGS/NASA), published as part of Tree Cover Loss (hectares). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 25 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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.