Mauritania vs Papua New Guinea: People affected by disaster, Number
Mauritania
7,200
in 2023
Papua New Guinea
7,849
in 2024
Mauritania rank
107th
Papua New Guinea rank
105th
People affected by disaster, Number over time
- Mauritania
- Papua New Guinea
How they compare
Papua New Guinea currently reports 7,849 against 7,200 in Mauritania, a difference of 649.
That makes Papua New Guinea's figure about 1.1 times Mauritania's.
The two have swapped places 8 times across 15 shared years of data; in 1980 it was Mauritania ahead.
Mauritania ranks 107th and Papua New Guinea ranks 105th of 183 countries.
Across the 5 decades both report, Mauritania averaged higher in 3 and Papua New Guinea in 2.
Head to head by decade
| Decade | Mauritania | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1.60 million | 40,000 | 1.56 million | Mauritania |
| 1990s | 123,046 | 163,135 | 40,089 | Papua New Guinea |
| 2000s | 21,790 | 31,355 | 9,565 | Papua New Guinea |
| 2010s | 254,377 | 11,783 | 242,593 | Mauritania |
| 2020s | 1.42 million | 61,000 | 1.36 million | Mauritania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people affected by disaster, number, Mauritania or Papua New Guinea?
- Papua New Guinea, at 7,849 against 7,200 in Mauritania as of 2024.
- What is the difference in people affected by disaster, number between Mauritania and Papua New Guinea?
- 649, with Papua New Guinea ahead.
- How many years of comparable data are there for Mauritania and Papua New Guinea?
- 15 years are reported by both, from 1980 to 2020.
- How do Mauritania and Papua New Guinea rank globally for people affected by disaster, number?
- Mauritania ranks 107th and Papua New Guinea ranks 105th of 183 countries.
- Where does this data come from?
- International Monetary Fund, published as People affected by disaster, Number (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.