Gansu vs Poland: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Gansu
- Poland
How they compare
Gansu currently reports 6,999 Square kilometres against 6,742 Square kilometres in Poland, a difference of 257 Square kilometres.
The two have swapped places 1 time across 5 shared years of data; in 2005 it was Poland ahead.
Gansu ranks 77th and Poland ranks 79th of 753 regions.
Across the 3 decades both report, Gansu averaged higher in 1 and Poland in 2.
Head to head by decade
| Decade | Gansu | Poland | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2,731 Square kilometres | 3,183 Square kilometres | 452.27 Square kilometres | Poland |
| 2010s | 3,622 Square kilometres | 4,355 Square kilometres | 732.63 Square kilometres | Poland |
| 2020s | 6,798 Square kilometres | 6,497 Square kilometres | 300.88 Square kilometres | Gansu |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Gansu or Poland?
- Gansu, at 6,999 Square kilometres against 6,742 Square kilometres in Poland as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Gansu and Poland?
- 257 Square kilometres, with Gansu ahead.
- How many years of comparable data are there for Gansu and Poland?
- 5 years are reported by both, from 2005 to 2022.
- How do Gansu and Poland rank globally for land cover and land cover change — loss of cropland?
- Gansu ranks 77th and Poland ranks 79th 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