Climate projections by scenario, 2030–2060 – Cities and FUAs in Chiautla

Chiautla: Climate projections by scenario, 2030–2060 – Cities and FUAs was 1.13 Degrees celsius in 2060. ▲ Rising

Latest (2060)
1.13 Degrees celsius
Change on year
down 13.3%
Rank
1282nd
of 1364 regions
All-time high
1.31 Degrees celsius
in 2059
All-time low
0.5082 Degrees celsius
in 2033
Years of data
31
2030–2060

Climate projections by scenario, 2030–2060 – Cities and FUAs in Chiautla, 2030–2060

00.511.52030204520602030: 0.806 Degrees celsius2031: 0.739 Degrees celsius2032: 0.654 Degrees celsius2033: 0.508 Degrees celsius2034: 0.675 Degrees celsius2035: 0.755 Degrees celsius2036: 0.694 Degrees celsius2037: 1 Degrees celsius2038: 1.1 Degrees celsius2039: 0.933 Degrees celsius2040: 0.773 Degrees celsius2041: 1.1 Degrees celsius2042: 1.2 Degrees celsius2043: 1.1 Degrees celsius2044: 0.896 Degrees celsius2045: 0.903 Degrees celsius2046: 0.995 Degrees celsius2047: 0.913 Degrees celsius2048: 1.1 Degrees celsius2049: 1 Degrees celsius2050: 1.3 Degrees celsius2051: 1 Degrees celsius2052: 1.2 Degrees celsius2053: 1.1 Degrees celsius2054: 1 Degrees celsius2055: 0.992 Degrees celsius2056: 0.88 Degrees celsius2057: 1.1 Degrees celsius2058: 1.2 Degrees celsius2059: 1.3 Degrees celsius2060: 1.1 Degrees celsius

Source: Organisation for Economic Co-operation and Development. Measured in Degrees celsius.

Analysis

The most recent figure for climate projections by scenario, 2030–2060 – cities and fuas in Chiautla is 1.13 Degrees celsius, measured in 2060.

Compared with earlier readings it is down 13.3% on the previous year and down 12.0% over ten years.

Over the whole period, climate projections by scenario, 2030–2060 – cities and fuas in Chiautla peaked at 1.31 Degrees celsius in 2059 and was at its lowest, 0.5082 Degrees celsius, in 2033.

That places Chiautla 1282nd out of 1364 regions with data for 2060, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 31 years of available data.

Climate projections by scenario, 2030–2060 – Cities and FUAs in Chiautla, year by year

Annual values for Climate projections by scenario, 2030–2060 – Cities and FUAs — Projected air temperature change compared to 1981-2010 average in Chiautla, 2030 to 2060.
Year Degrees celsius Change
2030 0.8062 Degrees celsius
2031 0.739 Degrees celsius -8.3%
2032 0.6537 Degrees celsius -11.5%
2033 0.5082 Degrees celsius -22.3%
2034 0.6752 Degrees celsius +32.9%
2035 0.755 Degrees celsius +11.8%
2036 0.6936 Degrees celsius -8.1%
2037 1.02 Degrees celsius +46.4%
2038 1.09 Degrees celsius +7.0%
2039 0.933 Degrees celsius -14.1%
2040 0.7726 Degrees celsius -17.2%
2041 1.06 Degrees celsius +36.6%
2042 1.21 Degrees celsius +14.2%
2043 1.06 Degrees celsius -12.2%
2044 0.8961 Degrees celsius -15.3%
2045 0.9032 Degrees celsius +0.8%
2046 0.9947 Degrees celsius +10.1%
2047 0.9131 Degrees celsius -8.2%
2048 1.15 Degrees celsius +25.6%
2049 1.05 Degrees celsius -8.5%
2050 1.29 Degrees celsius +22.6%
2051 1.03 Degrees celsius -20.0%
2052 1.19 Degrees celsius +15.1%
2053 1.1 Degrees celsius -7.0%
2054 1.05 Degrees celsius -5.2%
2055 0.9923 Degrees celsius -5.1%
2056 0.8799 Degrees celsius -11.3%
2057 1.1 Degrees celsius +24.5%
2058 1.15 Degrees celsius +5.1%
2059 1.31 Degrees celsius +13.4%
2060 1.13 Degrees celsius -13.3%

Averages by decade

DecadeAverage LowestHighest Years
2030s 0.7865 Degrees celsius 0.5082 Degrees celsius 1.09 Degrees celsius 10
2040s 0.9995 Degrees celsius 0.7726 Degrees celsius 1.21 Degrees celsius 10
2050s 1.11 Degrees celsius 0.8799 Degrees celsius 1.31 Degrees celsius 10
2060s 1.13 Degrees celsius 1.13 Degrees celsius 1.13 Degrees celsius 1

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Frequently asked questions

What is climate projections by scenario, 2030–2060 – cities and fuas in Chiautla?
Climate projections by scenario, 2030–2060 – cities and fuas in Chiautla was 1.13 Degrees celsius in 2060, according to Organisation for Economic Co-operation and Development.
What is the highest climate projections by scenario, 2030–2060 – cities and fuas recorded in Chiautla?
The highest recorded value was 1.31 Degrees celsius in 2059.
What is the lowest climate projections by scenario, 2030–2060 – cities and fuas recorded in Chiautla?
The lowest recorded value was 0.5082 Degrees celsius in 2033.
How does Chiautla rank for climate projections by scenario, 2030–2060 – cities and fuas?
Chiautla ranks 1282nd out of 1364 regions with data for 2060.
Is climate projections by scenario, 2030–2060 – cities and fuas rising or falling in Chiautla?
Over the last ten years it is down 12.0%. The long-run trend across the full record is rising.
Where does this Chiautla data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Climate projections by scenario, 2030–2060 – Cities and FUAs — Projected air temperature change compared to 1981-2010 average. Statizoid updates them automatically from the source API.

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Climate projections by scenario, 2030–2060 – Cities and FUAs in Chiautla. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://climate.statizoid.com/stat/climate-projections-by-scenario-2030-2060-cities-and-fuas-projected-air-temperature-2/chiautla/

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About this data

Indicator
Climate projections by scenario, 2030–2060 – Cities and FUAs — Projected air temperature change compared to 1981-2010 average
Unit
Degrees celsius
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,374 places, 42,594 data points, 2030–2060
Last refreshed

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 FUAs and Cities. Data sources and methodology 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). 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. Extreme precipitation days are defined as days during which the total precipitation is higher than 20 mm. 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 covers highlights four scenarios: 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. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Climate projections by scenario, 2030-2060 – Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org