Puno vs Suriname: Land cover and land cover change — Grassland
Land cover and land cover change — Grassland over time
- Puno
- Suriname
How they compare
Puno currently reports 33,939 Square kilometres against 126.83 Square kilometres in Suriname, a difference of 33,812 Square kilometres.
That makes Puno's figure about 267.6 times Suriname's.
Across all 6 years both countries report, Puno has been ahead every year.
Puno ranks 118th and Suriname ranks 119th of 775 regions.
Puno has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Puno | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 34,514 Square kilometres | 109.07 Square kilometres | 34,405 Square kilometres | Puno |
| 2010s | 34,542 Square kilometres | 122.23 Square kilometres | 34,420 Square kilometres | Puno |
| 2020s | 34,021 Square kilometres | 125.74 Square kilometres | 33,895 Square kilometres | Puno |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — grassland, Puno or Suriname?
- Puno, at 33,939 Square kilometres against 126.83 Square kilometres in Suriname as of 2022.
- What is the difference in land cover and land cover change — grassland between Puno and Suriname?
- 33,812 Square kilometres, with Puno ahead.
- How many years of comparable data are there for Puno and Suriname?
- 6 years are reported by both, from 2000 to 2022.
- How do Puno and Suriname rank globally for land cover and land cover change — grassland?
- Puno ranks 118th and Suriname ranks 119th of 775 regions.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Grassland. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The land cover dataset provides a global assessment of land cover and land cover change to monitor pressures on ecosystems and biodiversity. By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable indicators with a long time series and a five-year interval from 2000 to 2022 for the Climate Change Initiative Land Cover dataset, and from 1975 to 2030 for the Global Human Settlement Layer dataset. Please see the working paper for a more complete description of the methods. The dataset has a global coverage on the national level, while on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. Data source(s): Climate Change Initiative land cover data and Global Human Settlement Layer built-up area data. Contact: ENV.Stat@oecd.org Database documentation