Hungary vs Montenegro: People affected by disaster, Number

Hungary
0
in 2023
Montenegro
0
in 2023
Hungary rank
162nd
Montenegro rank
162nd

People affected by disaster, Number over time

  • Hungary
  • Montenegro
050.0k100.0k150.0k198420032023

How they compare

Hungary currently reports 0 against 0 in Montenegro, a difference of 0.

The two have swapped places 2 times across 6 shared years of data; in 2007 it was Montenegro ahead.

Hungary ranks 162nd and Montenegro ranks 162nd of 183 countries.

Montenegro has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Hungary Montenegro Difference Ahead
2000s 0 1,086 1,086 Montenegro
2010s 1,099 3,683 2,584 Montenegro
2020s 0 0 0 β€”

Averages of every year both report within each decade.

Frequently asked questions

Which has higher people affected by disaster, number, Hungary or Montenegro?
Hungary, at 0 against 0 in Montenegro as of 2023.
What is the difference in people affected by disaster, number between Hungary and Montenegro?
0, with Hungary ahead.
How many years of comparable data are there for Hungary and Montenegro?
6 years are reported by both, from 2007 to 2023.
How do Hungary and Montenegro rank globally for people affected by disaster, number?
Hungary ranks 162nd and Montenegro ranks 162nd 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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Hungary vs Montenegro: 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/hungary/montenegro/

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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.