China vs Ireland: Exposure to extreme temperature — Annual temperature change

China
1.1 Degrees celsius
in 2023
Ireland
1.09 Degrees celsius
in 2023
China rank
121st
Ireland rank
124th

Exposure to extreme temperature — Annual temperature change over time

  • China
  • Ireland
-1-0.500.51197920012023

How they compare

China currently reports 1.1 Degrees celsius against 1.09 Degrees celsius in Ireland, a difference of 0.01 Degrees celsius.

The two have swapped places 18 times across 45 shared years of data; in 1979 it was China ahead.

China ranks 121st and Ireland ranks 124th of 263 countries.

Across the 6 decades both report, China averaged higher in 4 and Ireland in 2.

Head to head by decade

Decade China Ireland Difference Ahead
1970s -0.4584 Degrees celsius -1.03 Degrees celsius 0.5693 Degrees celsius China
1980s -0.4792 Degrees celsius -0.2493 Degrees celsius 0.23 Degrees celsius Ireland
1990s 0.0265 Degrees celsius 0.0785 Degrees celsius 0.052 Degrees celsius Ireland
2000s 0.3708 Degrees celsius 0.2382 Degrees celsius 0.1326 Degrees celsius China
2010s 0.4811 Degrees celsius 0.0378 Degrees celsius 0.4432 Degrees celsius China
2020s 0.9246 Degrees celsius 0.6285 Degrees celsius 0.2961 Degrees celsius China

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to extreme temperature — annual temperature change, China or Ireland?
China, at 1.1 Degrees celsius against 1.09 Degrees celsius in Ireland as of 2023.
What is the difference in exposure to extreme temperature — annual temperature change between China and Ireland?
0.01 Degrees celsius, with China ahead.
How many years of comparable data are there for China and Ireland?
45 years are reported by both, from 1979 to 2023.
How do China and Ireland rank globally for exposure to extreme temperature — annual temperature change?
China ranks 121st and Ireland ranks 124th 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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China vs Ireland: 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/china/ireland/

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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