Monaco vs Pest: Exposure to extreme temperature — Annual temperature change

Monaco
1.67 Degrees celsius
in 2023
Pest
2 Degrees celsius
in 2023
Monaco rank
46th
Pest rank
48th

Exposure to extreme temperature — Annual temperature change over time

  • Monaco
  • Pest
-2-1012197920012023

How they compare

Pest currently reports 2 Degrees celsius against 1.67 Degrees celsius in Monaco, a difference of 0.33 Degrees celsius.

That makes Pest's figure about 1.2 times Monaco's.

The two have swapped places 20 times across 45 shared years of data; in 1979 it was Pest ahead.

Monaco ranks 46th and Pest ranks 48th of 263 countries.

Across the 6 decades both report, Monaco averaged higher in 3 and Pest in 3.

Head to head by decade

Decade Monaco Pest Difference Ahead
1970s -0.5952 Degrees celsius -0.1882 Degrees celsius 0.407 Degrees celsius Pest
1980s -0.3431 Degrees celsius -0.5189 Degrees celsius 0.1757 Degrees celsius Monaco
1990s -0.0035 Degrees celsius -0.1129 Degrees celsius 0.1094 Degrees celsius Monaco
2000s 0.2893 Degrees celsius 0.4902 Degrees celsius 0.2009 Degrees celsius Pest
2010s 0.6925 Degrees celsius 0.9795 Degrees celsius 0.2871 Degrees celsius Pest
2020s 1.38 Degrees celsius 1.37 Degrees celsius 0.0105 Degrees celsius Monaco

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to extreme temperature — annual temperature change, Monaco or Pest?
Pest, at 2 Degrees celsius against 1.67 Degrees celsius in Monaco as of 2023.
What is the difference in exposure to extreme temperature — annual temperature change between Monaco and Pest?
0.33 Degrees celsius, with Pest ahead.
How many years of comparable data are there for Monaco and Pest?
45 years are reported by both, from 1979 to 2023.
How do Monaco and Pest rank globally for exposure to extreme temperature — annual temperature change?
Monaco ranks 46th and Pest ranks 48th of 263 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Exposure to extreme temperature — Annual temperature change. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Monaco vs Pest: Exposure to extreme temperature — Annual temperature change. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 20 August 2026, from https://reference.statizoid.com/compare/exposure-to-extreme-temperature-annual-temperature-change/monaco/pest/

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About this data

Indicator
Exposure to extreme temperature — Annual temperature change
Unit
Degrees celsius
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 temperature by providing the temperature anomaly, days with above-average temperatures and days with below-average temperatures. Exposure indicators to extreme temperature 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 dataset also provides a global assessment of extreme temperatures through the use of a variety of climate indices, including hot days, tropical nights, the Universal Thermal Climate Index and icing days. 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. 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 temperature data (ERA5) and Global Human Settlement Layer population grid data. Contact: ENV.Stat@oecd.org Database documentation