Congo vs Ohio: Land cover and land cover change — Gain of artificial surfaces
Land cover and land cover change — Gain of artificial surfaces over time
- Congo
- Ohio
How they compare
Ohio currently reports 1,626 Square kilometres against 279.41 Square kilometres in Congo, a difference of 1,347 Square kilometres.
That makes Ohio's figure about 5.8 times Congo's.
Across all 5 years both countries report, Ohio has been ahead every year.
Congo ranks 102nd and Ohio ranks 99th of 164 countries.
Ohio has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Congo | Ohio | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 45.38 Square kilometres | 459.99 Square kilometres | 414.62 Square kilometres | Ohio |
| 2010s | 115.4 Square kilometres | 1,172 Square kilometres | 1,057 Square kilometres | Ohio |
| 2020s | 248.25 Square kilometres | 1,565 Square kilometres | 1,317 Square kilometres | Ohio |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — gain of artificial surfaces, Congo or Ohio?
- Ohio, at 1,626 Square kilometres against 279.41 Square kilometres in Congo as of 2022.
- What is the difference in land cover and land cover change — gain of artificial surfaces between Congo and Ohio?
- 1,347 Square kilometres, with Ohio ahead.
- How many years of comparable data are there for Congo and Ohio?
- 5 years are reported by both, from 2005 to 2022.
- How do Congo and Ohio rank globally for land cover and land cover change — gain of artificial surfaces?
- Congo ranks 102nd and Ohio ranks 99th of 164 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Gain of artificial surfaces. 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