The average temperature in the contiguous United States reached 55.5 degrees Fahrenheit (13 degrees Celsius) in 2024, approximately 3.5 degrees Fahrenheit higher than the 20th-century average. These levels represented a record since measurements started in 1895. Monthly average temperatures in the U.S. were also indicative of this trend. Temperatures and emissions are on the rise The rise in temperatures since 1975 is similar to the increase in carbon dioxide emissions in the U.S. Although CO₂ emissions in recent years were lower than when they peaked in 2007, they were still generally higher than levels recorded before 1990. Carbon dioxide is a greenhouse gas and is the main driver of climate change. Extreme weather Scientists worldwide have found links between the rise in temperatures and changing weather patterns. Extreme weather in the U.S. has resulted in natural disasters such as hurricanes and extreme heat waves becoming more likely. Economic damage caused by extreme temperatures in the U.S. has amounted to hundreds of billions of U.S. dollars over the past few decades.

In 2024, the average annual temperature in the United States was 13.06 degrees Celsius, the warmest year recorded in the period in consideration. In 1895, this figure stood at 10.18 degrees Celsius. Recent years have been some of the warmest years recorded in the country.

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 U.S. Annual/Seasonal Climate Normals for 1991 to 2020 are 30-year averages of meteorological parameters that provide users the information needed to understand typical climate conditions for thousands of locations across the United States, as well as U.S. Territories and Commonwealths, and the Compact of Free Association nations. The stations used include those from the NWS Cooperative Observer Program (COOP) Network as well as some additional stations that have a Weather Bureau Army-Navy (WBAN) station identification number, including stations from the U.S. Climate Reference Network (USCRN) and other automated observation stations. In addition, precipitation normals for stations from the U.S. Snow Telemetry (SNOTEL) Network and the citizen-science Community Collaborative Rain, Hail and Snow (CoCoRaHS) Network are also available. The Annual/Seasonal Climate Normals dataset includes various derived products such as air temperature normals (including maximum and minimum temperature normals, heating and cooling degree day normals, and others), precipitation normals (including precipitation and snowfall totals, and percentiles, frequencies and other statistics of precipitation, snowfall, and snow depth), and agricultural normals (growing degree days (GDDs), lengths of growing seasons, probabilities of first or last temperature threshold exceedances. All data utilized in the computation of the 1991-2020 Climate Normals were taken from the Global Historical Climatology Network-Daily and -Monthly datasets. Temperatures were homogenized, adjusted for time-of-observation, and made serially complete where possible based on information from nearby stations. Precipitation totals were also made serially complete where possible based using nearby stations. The source datasets (including intermediate datasets used in the computation of products) are also archived at NOAA NCEI. A comparatively small number of station normals sets (~50) have been added as Version 1.0.1 to correct quality issues or because additional historical data during the 1991-2020 period has been ingested.

Surface ocean velocities estimated from HF-Radar are representative of the upper 2.4 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 6km resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The year average is computed from all available hourly near real-time surface current maps for the given year.

This statistic shows cities in the United States with the highest average annual temperatures. Data is based on recordings from 1981 to 2010. In San Antonio, Texas the average temperature is 80.7 degrees Fahrenheit. Some cities that have the hottest maximum summer temperatures will not be included in this list due to their extreme temperature variance.

Surface ocean velocities estimated from HF-Radar are representative of the upper 1.0 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 2km resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The year average is computed from all available hourly near real-time surface current maps for the given year.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: Age 65 or over (CXUTOTALEXPLB0407M) from 1988 to 2023 about 65-years +, age, average, expenditures, and USA.

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.

Graph and download economic data for Average Price: Gasoline, Unleaded Premium (Cost per Gallon/3.785 Liters) in U.S. City Average (APU000074716) from Sep 1981 to Feb 2025 about energy, gas, retail, price, and USA.

Monthly PRISM datasets covering the conterminous U.S., from 1981-2019 were used to calculate yearly average air temperature and spatially averaged yearly precipitation for selected counties in and near the Permian Basin. Distribution of the measurements was accomplished using the PRISM, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. The aggregated data was used to display and/or analyze spatially distributed yearly average air temperature and spatially averaged yearly precipitation for select counties in and near the Permian Basin from 1981-2019.

This dataset is used in Course 4 - Exploratory Graphs lesson of the Data Science Specialization from Johns Hopkins Bloomberg School of Public Health at Coursera. Annual average PM2.5 averaged over the period 2008 through 2010 in the USA. Data provided by the U.S. Environmental Protection Agency (EPA).

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The data represent predicted number of individuals of each listed seabird species per standardized survey segment (15 minute travel time at 10 knots = approx. 2.5 nautical miles (Nm) or 2.9 statute miles.) Therefore, if the average annual abundance number for a species is 0.2-0.3, then this model estimates that, on average, a single animal would be seen for every 3.3 - 5 survey segments conducted at randomly selected times of the year. Note that some species models were not estimated for all seasons due to very low/no abundance in those seasons, so the annual abundance is based only on the actual seasons modeled, assuming 0 abundance in other seasons.

Annual average abundance prediction models were constructed in a study modeling at-sea occurrence and abundance of marine birds (to support Mid-Atlantic marine renewable energy planning). The Compendium of Avian Information in the U.S. Atlantic Outer Continental Shelf was used as a basis for this study, as it characterizes the survey effort and bird observations collected from the Atlantic Outer Continental Shelf since 1978. The study was conducted for BOEM by NOAA/NOS/NCCOS in collaboration with the USGS Patuxent Wildlife Research Center under interagency agreement.

Within the study twenty-seven different species were modeled with up to four seasonal models for each species. These seasonal models were then averaged into mean relative abundance layers, which were then reclassified by NOAA OCM into a common classification scheme for display purposes in marinecadastre.gov. Please refer to the final report for more information about how these estimates were calculated.

© marinecadastre.gov This layer is a component of Avian Average Annual Abundance.

The data represent predicted number of individuals of each listed seabird species per standardized survey segment (15 minute travel time at 10 knots = approx. 2.5 nautical miles (Nm) or 2.9 statute miles.) Therefore, if the average annual abundance number for a species is 0.2-0.3, then this model estimates that, on average, a single animal would be seen for every 3.3 - 5 survey segments conducted at randomly selected times of the year. Note that some species models were not estimated for all seasons due to very low/no abundance in those seasons, so the annual abundance is based only on the actual seasons modeled, assuming 0 abundance in other seasons.

Annual average abundance prediction models were constructed in a study modeling at-sea occurrence and abundance of marine birds (to support Mid-Atlantic marine renewable energy planning). The Compendium of Avian Information in the U.S. Atlantic Outer Continental Shelf was used as a basis for this study, as it characterizes the survey effort and bird observations collected from the Atlantic Outer Continental Shelf since 1978. The study was conducted for BOEM by NOAA/NOS/NCCOS in collaboration with the USGS Patuxent Wildlife Research Center under interagency agreement.

Within the study twenty-seven different species were modeled with up to four seasonal models for each species. These seasonal models were then averaged into mean relative abundance layers, which were then reclassified by NOAA OCM into a common classification scheme for display purposes in marinecadastre.gov. Please refer to the final report for more information about how these estimates were calculated. This map service presents spatial information about MarineCadastre.gov services across the United States and Territories in the Web Mercator projection. The service was developed by the National Oceanic and Atmospheric Administration (NOAA), but may contain data and information from a variety of data sources, including non-NOAA data. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. The NOAA Office for Coastal Management will make every effort to provide continual access to this service but it may need to be taken down during routine IT maintenance or in case of an emergency. If you plan to ingest this service into your own application and would like to be informed about planned and unplanned service outages or changes to existing services, please register for our Data Services Newsletter (http://coast.noaa.gov/digitalcoast/publications/subscribe). For additional information, please contact the NOAA Office for Coastal Management (coastal.info@noaa.gov).

© Bureau of Ocean Energy Management

This metadata record describes the average daily precipitation intensity for rain events during the 30-year period 1981 – 2010 for the conterminous United States. A rain event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter. Daily precipitation intensity is defined as the amount of precipitation over the duration of a rain event divided by the number of days in a rain event. The source data was produced and acquired from DAYMET (2018) and is presented here as a 1-kilometer resolution GeoTIFF file.

Geospatial data about United States Gulf of Mexico Wind Speed - Annual Average. Export to CAD, GIS, PDF, CSV and access via API.

The data represent predicted number of individuals of each listed seabird species per standardized survey segment (15 minute travel time at 10 knots = approx. 2.5 nautical miles (Nm) or 2.9 statute miles.) Therefore, if the average annual abundance number for a species is 0.2-0.3, then this model estimates that, on average, a single animal would be seen for every 3.3 - 5 survey segments conducted at randomly selected times of the year. Note that some species models were not estimated for all seasons due to very low/no abundance in those seasons, so the annual abundance is based only on the actual seasons modeled, assuming 0 abundance in other seasons.

Annual average abundance prediction models were constructed in a study modeling at-sea occurrence and abundance of marine birds (to support Mid-Atlantic marine renewable energy planning). The Compendium of Avian Information in the U.S. Atlantic Outer Continental Shelf was used as a basis for this study, as it characterizes the survey effort and bird observations collected from the Atlantic Outer Continental Shelf since 1978. The study was conducted for BOEM by NOAA/NOS/NCCOS in collaboration with the USGS Patuxent Wildlife Research Center under interagency agreement.

Within the study twenty-seven different species were modeled with up to four seasonal models for each species. These seasonal models were then averaged into mean relative abundance layers, which were then reclassified by NOAA OCM into a common classification scheme for display purposes in marinecadastre.gov. Please refer to the final report for more information about how these estimates were calculated.

© marinecadastre.gov This layer is a component of Avian Average Annual Abundance.

The data represent predicted number of individuals of each listed seabird species per standardized survey segment (15 minute travel time at 10 knots = approx. 2.5 nautical miles (Nm) or 2.9 statute miles.) Therefore, if the average annual abundance number for a species is 0.2-0.3, then this model estimates that, on average, a single animal would be seen for every 3.3 - 5 survey segments conducted at randomly selected times of the year. Note that some species models were not estimated for all seasons due to very low/no abundance in those seasons, so the annual abundance is based only on the actual seasons modeled, assuming 0 abundance in other seasons.

Annual average abundance prediction models were constructed in a study modeling at-sea occurrence and abundance of marine birds (to support Mid-Atlantic marine renewable energy planning). The Compendium of Avian Information in the U.S. Atlantic Outer Continental Shelf was used as a basis for this study, as it characterizes the survey effort and bird observations collected from the Atlantic Outer Continental Shelf since 1978. The study was conducted for BOEM by NOAA/NOS/NCCOS in collaboration with the USGS Patuxent Wildlife Research Center under interagency agreement.

Within the study twenty-seven different species were modeled with up to four seasonal models for each species. These seasonal models were then averaged into mean relative abundance layers, which were then reclassified by NOAA OCM into a common classification scheme for display purposes in marinecadastre.gov. Please refer to the final report for more information about how these estimates were calculated. This map service presents spatial information about MarineCadastre.gov services across the United States and Territories in the Web Mercator projection. The service was developed by the National Oceanic and Atmospheric Administration (NOAA), but may contain data and information from a variety of data sources, including non-NOAA data. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. The NOAA Office for Coastal Management will make every effort to provide continual access to this service but it may need to be taken down during routine IT maintenance or in case of an emergency. If you plan to ingest this service into your own application and would like to be informed about planned and unplanned service outages or changes to existing services, please register for our Data Services Newsletter (http://coast.noaa.gov/digitalcoast/publications/subscribe). For additional information, please contact the NOAA Office for Coastal Management (coastal.info@noaa.gov).

© Bureau of Ocean Energy Management

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

In 2024, the minimum average temperature in the contiguous United States reached around 6.45 degrees Celsius. Several of the hottest years on record have all been recorded within the last decade. Just one-degree of warming is significant, as it takes a vast amount of heat to warm up the oceans, atmosphere, and land to this degree.

The average annual mileage of light vehicles in use in the United States dropped to just under 20,200 kilometers in 2020, down from some 21,700 kilometers one year earlier. This seven percent dip in the annual average comes after six years of steady increase.