CIS vs Malaysia: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- CIS
- Malaysia
How they compare
CIS currently reports 129,218 Square kilometres against 14,209 Square kilometres in Malaysia, a difference of 115,009 Square kilometres.
That makes CIS's figure about 9.1 times Malaysia's.
Across all 5 years both countries report, CIS has been ahead every year.
CIS ranks 14th and Malaysia ranks 11th of 753 regions.
CIS has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | CIS | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 47,042 Square kilometres | 4,895 Square kilometres | 42,147 Square kilometres | CIS |
| 2010s | 91,072 Square kilometres | 10,463 Square kilometres | 80,608 Square kilometres | CIS |
| 2020s | 125,294 Square kilometres | 13,441 Square kilometres | 111,853 Square kilometres | CIS |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, CIS or Malaysia?
- CIS, at 129,218 Square kilometres against 14,209 Square kilometres in Malaysia as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between CIS and Malaysia?
- 115,009 Square kilometres, with CIS ahead.
- How many years of comparable data are there for CIS and Malaysia?
- 5 years are reported by both, from 2005 to 2022.
- How do CIS and Malaysia rank globally for land cover and land cover change — loss of cropland?
- CIS ranks 14th and Malaysia ranks 11th of 753 regions.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Loss of cropland. 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