Marshall Islands vs Papua New Guinea: Exposure to extreme precipitation — Annual precipitation change

Marshall Islands
390.59 Millimetres per year
in 2023
Papua New Guinea
383.64 Millimetres per year
in 2023
Marshall Islands rank
13th
Papua New Guinea rank
14th

Exposure to extreme precipitation — Annual precipitation change over time

  • Marshall Islands
  • Papua New Guinea
-1.0k-50005001.0k197920012023

How they compare

Marshall Islands currently reports 390.59 Millimetres per year against 383.64 Millimetres per year in Papua New Guinea, a difference of 6.95 Millimetres per year.

The two have swapped places 22 times across 45 shared years of data; in 1979 it was Marshall Islands ahead.

Marshall Islands ranks 13th and Papua New Guinea ranks 14th of 222 countries.

Across the 6 decades both report, Marshall Islands averaged higher in 3 and Papua New Guinea in 3.

Head to head by decade

Decade Marshall Islands Papua New Guinea Difference Ahead
1970s 250.98 Millimetres per year -145.2 Millimetres per year 396.19 Millimetres per year Marshall Islands
1980s -13.73 Millimetres per year -108.79 Millimetres per year 95.06 Millimetres per year Marshall Islands
1990s 71.78 Millimetres per year -111.31 Millimetres per year 183.09 Millimetres per year Marshall Islands
2000s 38.87 Millimetres per year 179.63 Millimetres per year 140.76 Millimetres per year Papua New Guinea
2010s -97.48 Millimetres per year 605.36 Millimetres per year 702.83 Millimetres per year Papua New Guinea
2020s 187.75 Millimetres per year 444.36 Millimetres per year 256.62 Millimetres per year Papua New Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to extreme precipitation — annual precipitation change, Marshall Islands or Papua New Guinea?
Marshall Islands, at 390.59 Millimetres per year against 383.64 Millimetres per year in Papua New Guinea as of 2023.
What is the difference in exposure to extreme precipitation — annual precipitation change between Marshall Islands and Papua New Guinea?
6.95 Millimetres per year, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Papua New Guinea?
45 years are reported by both, from 1979 to 2023.
How do Marshall Islands and Papua New Guinea rank globally for exposure to extreme precipitation — annual precipitation change?
Marshall Islands ranks 13th and Papua New Guinea ranks 14th of 222 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Exposure to extreme precipitation — Annual precipitation change. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Marshall Islands vs Papua New Guinea: Exposure to extreme precipitation — Annual precipitation change. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 30 August 2026, from https://reference.statizoid.com/compare/exposure-to-extreme-precipitation-annual-precipitation-change/marshall-islands/papua-new-guinea/

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About this data

Indicator
Exposure to extreme precipitation — Annual precipitation change
Unit
Millimetres per year
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
979 places, 44,055 data points, 1979–2023
Last refreshed

The dataset provides a global assessment of changes in average precipitation by providing the precipitation anomaly and provides a global assessment of extreme precipitation through the use of two precipitation indices, i.e. very heavy precipitation days and frequency of extreme precipitation events. Exposure indicators to extreme precipitation have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the working paper for a more complete description of the methods. The datasets span the period 1979-2022, depending on data availability and are the result of the use of a variety of geospatial data sources as referenced in the Working Paper. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): Copernicus Climate Data Store precipitation data (ERA5) and Copernicus Climate Change Initiative land cover data. Contact: ENV.Stat@oecd.org Database documentation