Israel vs Rwanda: People affected by disaster, Number

Israel
21
in 2020
Rwanda
27
in 2024
Israel rank
159th
Rwanda rank
158th

People affected by disaster, Number over time

  • Israel
  • Rwanda
0500.0k1.0M1.5M2.0M198320032024

How they compare

Rwanda currently reports 27 against 21 in Israel, a difference of 6.

That makes Rwanda's figure about 1.3 times Israel's.

The two have swapped places 4 times across 6 shared years of data; in 1999 it was Rwanda ahead.

Israel ranks 159th and Rwanda ranks 158th of 183 countries.

Across the 3 decades both report, Israel averaged higher in 1 and Rwanda in 2.

Head to head by decade

Decade Israel Rwanda Difference Ahead
1990s 0 894,545 894,545 Rwanda
2010s 20,090 16,455 3,634 Israel
2020s 21 22,455 22,434 Rwanda

Averages of every year both report within each decade.

Frequently asked questions

Which has higher people affected by disaster, number, Israel or Rwanda?
Rwanda, at 27 against 21 in Israel as of 2024.
What is the difference in people affected by disaster, number between Israel and Rwanda?
6, with Rwanda ahead.
How many years of comparable data are there for Israel and Rwanda?
6 years are reported by both, from 1999 to 2020.
How do Israel and Rwanda rank globally for people affected by disaster, number?
Israel ranks 159th and Rwanda ranks 158th 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.

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Israel vs Rwanda: People affected by disaster, Number. Statizoid, drawing on International Monetary Fund. Retrieved 18 August 2026, from https://climate.statizoid.com/compare/people-affected-by-disaster-number-not-applicable/israel/rwanda/

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About this data

Indicator
People affected by disaster, Number (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
185 places, 4,260 data points, 1980–2025
Last refreshed

This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.