Piauí vs Sudan: Exposure to extreme temperature — Annual temperature change

Piauí
0.459 Degrees celsius
in 2023
Sudan
1.56 Degrees celsius
in 2023
Piauí rank
43rd
Sudan rank
42nd

Exposure to extreme temperature — Annual temperature change over time

  • Piauí
  • Sudan
-1012197920012023

How they compare

Sudan currently reports 1.56 Degrees celsius against 0.459 Degrees celsius in Piauí, a difference of 1.1 Degrees celsius.

That makes Sudan's figure about 3.4 times Piauí's.

The two have swapped places 16 times across 45 shared years of data; in 1979 it was Sudan ahead.

Piauí ranks 43rd and Sudan ranks 42nd of 49 groups.

Across the 6 decades both report, Piauí averaged higher in 3 and Sudan in 3.

Head to head by decade

Decade Piauí Sudan Difference Ahead
1970s -0.6005 Degrees celsius 0.118 Degrees celsius 0.7185 Degrees celsius Sudan
1980s -0.2986 Degrees celsius -0.4761 Degrees celsius 0.1775 Degrees celsius Piauí
1990s -0.0055 Degrees celsius -0.0919 Degrees celsius 0.0864 Degrees celsius Piauí
2000s 0.2006 Degrees celsius 0.4154 Degrees celsius 0.2147 Degrees celsius Sudan
2010s 0.9344 Degrees celsius 0.7835 Degrees celsius 0.1508 Degrees celsius Piauí
2020s 0.1835 Degrees celsius 0.8298 Degrees celsius 0.6463 Degrees celsius Sudan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to extreme temperature — annual temperature change, Piauí or Sudan?
Sudan, at 1.56 Degrees celsius against 0.459 Degrees celsius in Piauí as of 2023.
What is the difference in exposure to extreme temperature — annual temperature change between Piauí and Sudan?
1.1 Degrees celsius, with Sudan ahead.
How many years of comparable data are there for Piauí and Sudan?
45 years are reported by both, from 1979 to 2023.
How do Piauí and Sudan rank globally for exposure to extreme temperature — annual temperature change?
Piauí ranks 43rd and Sudan ranks 42nd of 49 groups.
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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Piauí vs Sudan: Exposure to extreme temperature — Annual temperature change. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 06 October 2026, from https://reference.statizoid.com/compare/exposure-to-extreme-temperature-annual-temperature-change/piaui/sudan/

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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