Tree Cover Loss in San Marino
San Marino: Tree Cover Loss was 0 hectares in 2025. ◆ Volatile
Tree Cover Loss in San Marino, 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 San Marino 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 San Marino peaked at 1 hectares in 2004 and was at its lowest, 0 hectares, in 2001.
That places San Marino 167th out of 190 countries with data for 2025, putting it 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 | 0.2222 hectares | 0 hectares | 1 hectares | 9 |
| 2010s | 0.1 hectares | 0 hectares | 1 hectares | 10 |
| 2020s | 0 hectares | 0 hectares | 0 hectares | 6 |
Countries ranked near San Marino
- 165 Botswana 1 hectares compare
- 165 Tajikistan 1 hectares compare
- 167 Bahrain 0 hectares compare
- 167 Burkina Faso 0 hectares compare
- 167 Cabo Verde 0 hectares compare
- 167 Djibouti 0 hectares compare
- 167 Eritrea 0 hectares compare
- 167 Iceland 0 hectares compare
- 167 Kiribati 0 hectares compare
- 167 Kuwait 0 hectares compare
- 167 Malta 0 hectares compare
- 167 Mauritania 0 hectares compare
- 167 Micronesia 0 hectares compare
- 167 Monaco 0 hectares compare
- 167 Nauru 0 hectares compare
- 167 Niger 0 hectares compare
- 167 Oman 0 hectares compare
- 167 Qatar 0 hectares compare
- 167 Sao Tome and Principe 0 hectares compare
- 167 Saudi Arabia 0 hectares compare
- 167 Seychelles 0 hectares compare
- 167 Turkmenistan 0 hectares compare
- 167 Tuvalu 0 hectares compare
- 167 United Arab Emirates 0 hectares compare
- 167 Yemen 0 hectares compare
More agriculture & rural data for San Marino
- Rural population, per capita 0.0281 units per person (2025)
- Agriculture, forestry, and fishing, value added 0.0% (2023)
- Rural population 959 (2025)
- Rural population growth -0.7% (2025)
- Rural population 2.8% (2025)
- Agriculture share gdp 0.0151 (2023)
- Agriculture, forestry, and fishing, value added (current US$), per 9.04 current US$ per person (2023)
- Agriculture, forestry, and fishing, value added (current US$), annual 45.44 % change on previous year (2023)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0002 current US$ per US$ of GDP (2023)
- Value added in the agricultural sector as of gdp vs gdp per capita 0.0151 (2023)
Frequently asked questions
- What is tree cover loss in San Marino?
- Tree cover loss in San Marino 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 San Marino?
- The highest recorded value was 1 hectares in 2004.
- What is the lowest tree cover loss recorded in San Marino?
- The lowest recorded value was 0 hectares in 2001.
- How does San Marino rank for tree cover loss?
- San Marino ranks 167th out of 190 countries with data for 2025.
- Where does this San Marino 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.