Germany vs United States Virgin Islands: Climate related disasters frequency, Number of People Affected: Storm
Germany
0
in 2023
United States Virgin Islands
0
in 2017
Germany rank
92nd
United States Virgin Islands rank
92nd
Climate related disasters frequency, Number of People Affected: Storm over time
- Germany
- United States Virgin Islands
How they compare
Germany currently reports 0 against 0 in United States Virgin Islands, a difference of 0.
The two have swapped places 2 times across 5 shared years of data; in 1995 it was Germany ahead.
Germany ranks 92nd and United States Virgin Islands ranks 92nd of 112 countries.
Germany has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Germany | United States Virgin Islands | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 10,005 | 3,333 | 6,672 | Germany |
| 2000s | 0 | 0 | 0 | — |
| 2010s | 24 | 0 | 24 | Germany |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate related disasters frequency, number of people affected: storm, Germany or United States Virgin Islands?
- Germany, at 0 against 0 in United States Virgin Islands as of 2023.
- What is the difference in climate related disasters frequency, number of people affected: storm between Germany and United States Virgin Islands?
- 0, with Germany ahead.
- How many years of comparable data are there for Germany and United States Virgin Islands?
- 5 years are reported by both, from 1995 to 2017.
- How do Germany and United States Virgin Islands rank globally for climate related disasters frequency, number of people affected: storm?
- Germany ranks 92nd and United States Virgin Islands ranks 92nd of 112 countries.
- Where does this data come from?
- International Monetary Fund, published as Climate related disasters frequency, Number of People Affected: Storm (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.