Lithuania vs Mexico: Climate projections by scenario, 2030–2060 - Regions — Projected air
Climate projections by scenario, 2030–2060 - Regions — Projected air over time
- Lithuania
- Mexico
How they compare
Lithuania currently reports 1.6 Degrees celsius against 1.6 Degrees celsius in Mexico, a difference of 0 Degrees celsius.
The two have swapped places 16 times across 31 shared years of data; in 2030 it was Mexico ahead.
Lithuania ranks 26th and Mexico ranks 26th of 48 countries.
Across the 4 decades both report, Lithuania averaged higher in 2 and Mexico in 1.
Head to head by decade
| Decade | Lithuania | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 2030s | 1.1 Degrees celsius | 1.2 Degrees celsius | 0.1 Degrees celsius | Mexico |
| 2040s | 1.47 Degrees celsius | 1.43 Degrees celsius | 0.04 Degrees celsius | Lithuania |
| 2050s | 1.7 Degrees celsius | 1.48 Degrees celsius | 0.22 Degrees celsius | Lithuania |
| 2060s | 1.6 Degrees celsius | 1.6 Degrees celsius | 0 Degrees celsius | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate projections by scenario, 2030–2060 - regions — projected air, Lithuania or Mexico?
- Lithuania, at 1.6 Degrees celsius against 1.6 Degrees celsius in Mexico as of 2060.
- What is the difference in climate projections by scenario, 2030–2060 - regions — projected air between Lithuania and Mexico?
- 0 Degrees celsius, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Mexico?
- 31 years are reported by both, from 2030 to 2060.
- How do Lithuania and Mexico rank globally for climate projections by scenario, 2030–2060 - regions — projected air?
- Lithuania ranks 26th and Mexico ranks 26th of 48 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Climate projections by scenario, 2030–2060 - Regions — Projected air temperature change compared to 1981-2010 average. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides sub-national indicators on 2030-2060 projections by scenario on air temperature, hot days, icing days, tropical nights, total precipitation and extreme precipitation days in large (TL2) and small (TL3) regions. Data definition and source Hot days refer to days during which the maximum temperature is higher than 35°C). Tropical nights refer to nights during which the minimum temperature is higher than 20°C. Icing days are defined as days during which the maximum temperature is lower than 0°C. Total precipitation in millimetres refers to the accumulated liquid and frozen water per year that falls to the Earth's surface. Extreme precipitation days are defined as days during which the total precipitation is higher than 20 mm. Projections are based on NASA NEX-GDDP CMIP6 data, which provides average air temperature projections at a 0.25° spatial resolution for different scenarios - Shared Socioeconomic Pathways (SSPs). SSPs are climate scenarios up to 2100 that model how socio‑economic factors may change over the next century. These scenarios are combined with Representative Concentration Pathways (RCPs), which outline different greenhouse gas (GHG) concentration levels and their radiative forcings. Radiative forcing quantifies how factors like GHGs, aerosols and solar changes affect Earth’s atmospheric energy balance. This dataset highlights four scenarios (see the methodology): SSP1-2.6: Sustainability. 2.6 watts per square metre (W/m2) radiative forcing, 1.8°C warming by 2100. SSP2-4.5: Middle-of-the-road. 4.5 W/m2 radiative forcing, 2.7°C warming by 2100. SSP3-7.0: Regional rivalry. 7.0 W/m2 radiative forcing, 3.6°C warming by 2100. SSP5-8.5: Fossil fuel development. 8.5 W/m2 radiative forcing, 4.4°C warming by 2100. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.