Central African Republic vs Peru: People affected by disaster, Number
Central African Republic
2,700
in 2024
Peru
2,583
in 2024
Central African Republic rank
129th
Peru rank
130th
People affected by disaster, Number over time
- Central African Republic
- Peru
How they compare
Central African Republic currently reports 2,700 against 2,583 in Peru, a difference of 117.
The two have swapped places 7 times across 23 shared years of data; in 1981 it was Peru ahead.
Central African Republic ranks 129th and Peru ranks 130th of 183 countries.
Across the 5 decades both report, Central African Republic averaged higher in 1 and Peru in 4.
Head to head by decade
| Decade | Central African Republic | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 925 | 663,850 | 662,925 | Peru |
| 1990s | 19,706 | 165,002 | 145,296 | Peru |
| 2000s | 7,039 | 840,198 | 833,159 | Peru |
| 2010s | 15,029 | 554,010 | 538,981 | Peru |
| 2020s | 595,606 | 155,305 | 440,300 | Central African Republic |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people affected by disaster, number, Central African Republic or Peru?
- Central African Republic, at 2,700 against 2,583 in Peru as of 2024.
- What is the difference in people affected by disaster, number between Central African Republic and Peru?
- 117, with Central African Republic ahead.
- How many years of comparable data are there for Central African Republic and Peru?
- 23 years are reported by both, from 1981 to 2024.
- How do Central African Republic and Peru rank globally for people affected by disaster, number?
- Central African Republic ranks 129th and Peru ranks 130th 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.