This dataset provides values for TEMPERATURE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This statistic shows a ranking of the estimated worldwide average temperature in 2020, differentiated by country. The figure refers to the projected annual average temperature for the period 2020-2039 as modelled by the GISS-E2-R model in the RCP 4.5 scenario (Medium-low emission).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

This dataset provides values for TEMPERATURE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The average temperature in December 2024 was 38.25 degrees Fahrenheit in the United States, the fourth-largest country in the world. The country has extremely diverse climates across its expansive landmass. Temperatures in the United States On the continental U.S., the southern regions face warm to extremely hot temperatures all year round, the Pacific Northwest tends to deal with rainy weather, the Mid-Atlantic sees all four seasons, and New England experiences the coldest winters in the country. The North American country has experienced an increase in the daily minimum temperatures since 1970. Consequently, the average annual temperature in the United States has seen a spike in recent years. Climate Change The entire world has seen changes in its average temperature as a result of climate change. Climate change occurs due to increased levels of greenhouse gases which act to trap heat in the atmosphere, preventing it from leaving the Earth. Greenhouse gases are emitted from various sectors but most prominently from burning fossil fuels. Climate change has significantly affected the average temperature across countries worldwide. In the United States, an increasing number of people have stated that they have personally experienced the effects of climate change. Not only are there environmental consequences due to climate change, but also economic ones. In 2022, for instance, extreme temperatures in the United States caused over 5.5 million U.S. dollars in economic damage. These economic ramifications occur for several reasons, which include higher temperatures, changes in regional precipitation, and rising sea levels.

The monthly average temperature in the United States between 2020 and 2025 shows distinct seasonal variation, following similar patterns. For instance, in April 2025, the average temperature across the North American country stood at 12.02 degrees Celsius. Rising temperatures Globally, 2016, 2019, 2021 and 2024 were some of the warmest years ever recorded since 1880. Overall, there has been a dramatic increase in the annual temperature since 1895. Within the U.S. annual temperatures show a great deal of variation depending on region. For instance, Florida tends to record the highest maximum temperatures across the North American country, while Wyoming recorded the lowest minimum average temperature in recent years. Carbon dioxide emissions Carbon dioxide is a known driver of climate change, which impacts average temperatures. Global historical carbon dioxide emissions from fossil fuels have been on the rise since the industrial revolution. In recent years, carbon dioxide emissions from fossil fuel combustion and industrial processes reached over 37 billion metric tons. Among all countries globally, China was the largest emitter of carbon dioxide in 2023.

The annual mean temperature in England has typically been the highest of the United Kingdom's countries. In 2024, it stood at 10.73 degrees Celsius, while the average temperature in Scotland was 8.17 degrees Celsius.

This dataset provides values for TEMPERATURE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The table Global Temperatures by State is part of the dataset Climate Change: Earth Surface Temperature Data, available at https://columbia.redivis.com/datasets/1e0a-f4931vvyg. It contains 645675 rows across 5 variables.

This dataset provides values for TEMPERATURE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Abstract

Compilation of Earth Surface temperatures historical. Source: https://www.kaggle.com/berkeleyearth/climate-change-earth-surface-temperature-data

Documentation

Data compiled by the Berkeley Earth project, which is affiliated with Lawrence Berkeley National Laboratory. The Berkeley Earth Surface Temperature Study combines 1.6 billion temperature reports from 16 pre-existing archives. It is nicely packaged and allows for slicing into interesting subsets (for example by country). They publish the source data and the code for the transformations they applied. They also use methods that allow weather observations from shorter time series to be included, meaning fewer observations need to be thrown away.

In this dataset, we have include several files:

Global Land and Ocean-and-Land Temperatures (GlobalTemperatures.csv):

• Date: starts in 1750 for average land temperature and 1850 for max and min land temperatures and global ocean and land temperatures

%3C!-- --%3E

• LandAverageTemperature: global average land temperature in celsius

%3C!-- --%3E

• LandAverageTemperatureUncertainty: the 95% confidence interval around the average

%3C!-- --%3E

• LandMaxTemperature: global average maximum land temperature in celsius

%3C!-- --%3E

• LandMaxTemperatureUncertainty: the 95% confidence interval around the maximum land temperature

%3C!-- --%3E

• LandMinTemperature: global average minimum land temperature in celsius

%3C!-- --%3E

• LandMinTemperatureUncertainty: the 95% confidence interval around the minimum land temperature

%3C!-- --%3E

• LandAndOceanAverageTemperature: global average land and ocean temperature in celsius

%3C!-- --%3E

• LandAndOceanAverageTemperatureUncertainty: the 95% confidence interval around the global average land and ocean temperature

%3C!-- --%3E

**Other files include: **

• Global Average Land Temperature by Country (GlobalLandTemperaturesByCountry.csv)

%3C!-- --%3E

• Global Average Land Temperature by State (GlobalLandTemperaturesByState.csv)

%3C!-- --%3E

• Global Land Temperatures By Major City (GlobalLandTemperaturesByMajorCity.csv)

%3C!-- --%3E

• Global Land Temperatures By City (GlobalLandTemperaturesByCity.csv)

%3C!-- --%3E

The raw data comes from the Berkeley Earth data page.

This dataset provides values for TEMPERATURE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Copenhagen recorded the highest average temperature among Nordic capital cities in 2023, with 10.1 degrees Celsius. The Danish capital typically recorded the highest average annual temperature among Nordic capital cities over the past 100 years. The highest annual temperature recorded in Copenhagen was 10.7 degrees Celsius in both 2014 and 2020.

This dataset provides weekly average temperature data for all U.S. counties from 2013 to 2023. Each row in the dataset represents a specific county, and the columns correspond to the weekly average temperatures over the ten-year period. The dataset is structured to facilitate time series analysis, climate trend studies, and machine learning applications related to environmental and climate change research.

Key Features: - County-Level Data: Temperature data is provided for each county in the United States, allowing for detailed, localized climate analysis. - Weekly Time Intervals: The data is aggregated on a weekly basis, offering a finer temporal resolution that captures seasonal and short-term temperature fluctuations.

• 10-Year Span: Covers a significant period from 2013 to 2023, enabling long-term trend analysis and comparison across different periods.

• Temperature Units: All temperature values are presented in Kelvin (K).

Potential Uses:

• Climate Research: Investigate climate change impacts at the county level, identify trends, and assess regional climate variability. Geospatial Analysis: Integrate with other spatial datasets for comprehensive environmental and geographical studies.

• Machine Learning: Suitable for training models on temporal climate data, predictive analytics, and anomaly detection.

• Public Policy and Planning: Useful for policymakers to study historical climate trends and support decision-making in areas such as agriculture, disaster management, and urban planning.

This dataset is ideal for researchers, data scientists, and analysts interested in exploring U.S. climate data at a granular level.

Initially, the temperature dataset is provided with specific coordinates in terms of longitude and latitude. To tailor this data to each country, we utilize geographical boundaries as defined by the World Bank. The method involves trimming the global temperature dataset to match the exact geographical shape of each country. To correct for potential distortions caused by the Earth's curvature on a flat map, we apply a latitude-based weighting. This step is essential for maintaining accuracy, especially in high-latitude regions where distortion is more pronounced. The result of this process is a latitude-weighted average temperature for each nation.

It's important to note, however, that due to the resolution constraints of the Copernicus dataset, this methodology might not be as effective for countries with very small landmasses. In these cases, the process may not yield reliable data.

The derived 2-meter temperature readings for each country are calculated based on administrative borders, encompassing all land surface types within these defined areas. As a result, temperatures over oceans and seas are not included in these averages, focusing the data primarily on terrestrial environments.

Global temperature averages and anomalies are calculated over all land and ocean surfaces.

The temperature anomaly is calculated by comparing the average surface temperature of a specific time period (e.g., a particular year or month) to the mean surface temperature of the same period from 1991 to 2020.

When calculating anomalies for each country, the average surface temperature of a given year or month is compared to the 1991-2020 mean temperature for that specific country.

The reason for using the 1991-2020 period as the reference mean is that it is the standard reference period used by our data source, the Copernicus Climate Change Service. This period is also adopted by the UK Met Office. This approach ensures consistency in identifying climate variations over time.

The average mean temperature in the Nordic countries has seen an upward trend in the past four decades. In 2022, the average mean temperature in Denmark reached 9.5 degrees Celsius, a 28-percent increase in comparison to 1983. All Nordic countries recorded the highest average temperatures in the displayed period in 2018 and 2019.

In 2022, Bosnia and Herzegovina ranked first among the countries in Central and Eastern Europe (CEE) by mean temperature anomalies compared to the average from 1991 to 2021, which stood at 1.23 degrees Celsius. Serbia and Croatia followed with 1.21 and 1.19 degrees Celsius above the baseline, respectively. The lowest anomaly was recorded in Belarus, where the temperature departed from the average norm by about 0.5 degrees Celsius.

(From http://www.worldclim.org/methods) - For a complete description, see:

Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.

The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.

The WorldClim interpolated climate layers were made using: * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others. * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km) * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.

The table Global Temperatures by Major City is part of the dataset Climate Change: Earth Surface Temperature Data, available at https://columbia.redivis.com/datasets/1e0a-f4931vvyg. It contains 239177 rows across 7 variables.

This map shows the coldest days of the year, on average, throughout the United States based on the latest (1991-2020) U.S. Climate Normals from NOAA's National Centers for Environmental Information. The Normals are 30-year averages of climate conditions from weather station data across the country, including the average low temperature for each day. From these values, scientists can identify which day of the year, on average, has the lowest minimum temperature, a.k.a. the “coldest day." If the lowest minimum temperature occurs on several days in a row, the map shows the central day of the range. The lightest colors on the map show places where the coldest day of the year occurs early in winter, starting at the beginning of December. The darker purples show places where the coldest day occurs later in the season, all the way through the end of March. The dots on the map show the station-based observations. The underlying map shows estimated ("interpolated") values for areas between stations. While the map shows the coldest days of the year on average, this year’s actual conditions may vary widely based on weather and climate patterns. For a prediction of your actual local daily temperature, and to see how it matches up with the Climate Normals, check out your local forecast office on Weather.gov.

The mean annual temperature in the United Kingdom was 9.97 degrees Celsius in 2023, an increase of 0.83 degrees Celsius compared to the the mean temperature from 1991 to 2020. In the same year, England had the highest annual mean temperature in the UK, at almost 11 degrees Celsius.