In 2024, a total of 1,374 earthquakes with magnitude of five or more were recorded worldwide as of December that year. The Ring of Fire Large earthquakes generally result in higher death tolls in developing countries or countries where building codes are less stringent. China has suffered from a number of strong earthquakes that have resulted in extremely high death tolls. While earthquakes occur around the globe along the various tectonic plate boundaries, a significant proportion occur around the basin of the Pacific Ocean, in what is referred to as the Ring of Fire due to the high degree of tectonic activity. Many of the countries in the Ring of Fire, including Japan, Chile, the United States and New Zealand, led the way in earthquake policy and science as a result. The impacts of earthquakes The tragic loss of life is not the only major negative effect of earthquakes, a number of earthquakes have caused billions of dollars worth of damage to infrastructure and private property. The high cost of damage in the 2011 Fukushima and Christchurch earthquakes in Japan and New Zealand respectively demonstrates that even wealthy, developed countries who are experienced in dealing with earthquakes are ill-equipped when the large earthquakes hit.

Description of Earthquakes Dataset (1990-2023)

The earthquakes dataset is an extensive collection of data containing information about all the earthquakes recorded worldwide from 1990 to 2023. The dataset comprises approximately three million rows, with each row representing a specific earthquake event. Each entry in the dataset contains a set of relevant attributes related to the earthquake, such as the date and time of the event, the geographical location (latitude and longitude), the magnitude of the earthquake, the depth of the epicenter, the type of magnitude used for measurement, the affected region, and other pertinent information.

Features - time in millisecconds - place - status
- tsunami (boolean value) - significance - data_type - magnitudo - state - longitude - latitude
- depth - date

Importance and Utility of the Dataset:

Earthquake Analysis and Prediction: The dataset provides a valuable data source for scientists and researchers interested in analyzing spatial and temporal distribution patterns of earthquakes. By studying historical data, trends, and patterns, it becomes possible to identify high-risk seismic zones and develop predictive models to forecast future seismic events more accurately.

Safety and Prevention: Understanding factors contributing to earthquake frequency and severity can assist authorities and safety experts in implementing preventive measures at both local and global levels. These data can enhance the design and construction of earthquake-resistant infrastructures, reducing material damage and safeguarding human lives.

Seismological Science: The dataset offers a critical resource for seismologists and geologists studying the dynamics of the Earth's crust and various geological faults. Analyzing details of recorded earthquakes allows for a deeper comprehension of geological processes leading to seismic activity.

Study of Tectonic Movements: The dataset can be utilized to analyze patterns of tectonic movements in specific areas over the years. This may help identify seasonal or long-term seismic activity, providing additional insights into plate tectonic behavior.

Public Information and Awareness: Earthquake data can be made accessible to the public through portals and applications, enabling individuals to monitor seismic activity in their regions of interest and promoting awareness and preparedness for earthquakes.

In summary, the earthquakes dataset represents a fundamental information source for scientific research, public safety, and community awareness. By analyzing historical data and building predictive models, this dataset can significantly contribute to mitigating seismic risks and protecting people and infrastructure from the consequences of earthquakes.

The earthquake that hit Myanmar in March 2025 had a magnitude of *** on the Richter scale. It was one of ******earthquakes of a magnitude between *** and *** that year. A total of ***earthquakes with a magnitude of *** to *** were registered that same year. 2025 has been considerably less active than 2023, which reported ****earthquakes with a magnitude of * or higher.

Earthquakes (USGS: Magnitude, Location, and Freq)

Magnitude, Location, and Frequency

By [source]

About this dataset

Earthquakes form an integral part of our planet’s geology. It is crucial to gain an understanding of the frequency and strength of these seismic activities, as this information is essential in both the cause and preventions of damaging earthquakes. Fortunately for us, the United States Geological Survey (USGS) captures comprehensive data on Earthquakes magnitude and location across the United States and its surrounding areas.

This dataset contains information such as time, latitude, longitude, depth, magnitude, type, gap between azimuthal gaps (gap), dmin which is minimum distance to nearest station (dmin), root mean square travel time residual (rms), Network which reported raised an incident report (net), updated date that was last updated or modified(updated) place horizonation uncertainty error - absolute value serves as 95% confidence interval radius(horizontalError)depth Horizonation uncertainty error - absolute value serve as 95% confidence interval radius(depthError)magHorizonation uncertainty error - absolute value serve as 95% confidence numberof seismic stations used to measure magnitude(magNst )Number statuses ie reviewed/reviewed_manual/automatic etc..status). This data can be a useful tool in building a more contextual picture around potential dangers posed by seismic activity

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset can be incredibly useful in uncovering geophysical insights about earthquakes. It contains comprehensive data about the magnitude and location of seismic activity, which can help to better understand the cause and prevention of damaging quakes.

Research Ideas

• Generating earthquake hazard maps to indicate seismic activity and risk levels in different areas.
• Developing predictive models of earthquake magnitude and probability of occurrence on the basis of geographic characteristics, previous seismic history and observed patterns of activity.
• Conducting analysis to determine correlations between geological features, human activities, and seismic events in order to better understand the causes and effects of potentially damaging earthquakes

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: usgs_current.csv | Column name | Description | |:--------------------|:--------------------------------------------------------------------------------| | time | The time of the earthquake. (DateTime) | | latitude | The latitude of the earthquake. (Float) | | longitude | The longitude of the earthquake. (Float) | | depth | The depth of the earthquake. (Float) | | mag | The magnitude of the earthquake. (Float) | | magType | The type of magnitude measurement used. (String) | | nst | The number of seismic stations used to calculate the magnitude. (Integer) | | gap | The maximum angular distance between azimuthal gaps. (Float) | | dmin | The distance to the nearest station. (Float) | | rms | The root-mean-square travel time residual. (Float) | | net | The network detected. (String) | | updated | The time the earthquake was last updated. (DateTime) | | place | The location of the earthquake. (String) | | horizontalError | The horizontal error of the earthquake. (Float) | | depthError | The depth error of the earthquake. (Float) | | magError ...

From 1900 to 2016, China was the country with highest amount of earthquakes. Between that time period, they reported 157 earthquakes. Indonesia, Iran, Turkey, and Japan rounded out the top five countries with the most earthquakes.

What causes earthquakes?

When two tectonic plates, which make up the Earth’s crust, shift, it forces shock waves to shake the Earth’s surface, resulting in an earthquake. Earthquakes are measured are on the Richter scale, assessed on a scale of one to nine and higher. The earthquake in Chile in 1960 was the strongest earthquake worldwide, according to the Richter scale, with a magnitude of 9.5. Because earthquakes are not able to be predicted, they can cause more damage than other natural disasters which can be predicted.

Earthquake effects

Earthquakes have caused a lot of physical damage and casualties. 2004 saw the highest global death toll due to earthquakes, with 298,101 casualties. As a result of this scale of damage, a lot of money goes into repair. For example, the January 17, 1994 California earthquake was the most expensive earthquake to the insurance industry in the United States. Not only did China have the highest number of earthquakes, it was also the country with the most natural disasters in 2018.

The Global Earthquake Hazard Frequency and Distribution is a 2.5 minute grid utilizing Advanced National Seismic System (ANSS) Earthquake Catalog data of actual earthquake events exceeding 4.5 on the Richter scale during the time period 1976 through 2002. To produce the final output, the frequency of an earthquake hazard is calculated for each grid cell, and the resulting grid cells are then classified into deciles (10 classes consisting of an approxiamately equal number of grid cells). The greater the grid cell value in the final output, the higher the relative frequency of hazard posed by earthquakes. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).

In 2024, Japan experienced *** earthquakes of Japan Meteorological Agency (JMA) magnitude of five or more. The JMA seismic intensity scale categorizes the intensity of earthquakes. The scale measures how much ground-surface shaking takes place at the measured sites. The scale is divided into ten steps, with higher values representing a higher intensity of the earthquake. Earthquakes in Japan Since the archipelago is situated along the Ring of Fire, an area where several tectonic plates meet, it is vulnerable to natural disasters such as earthquakes, and volcanic eruptions. Furthermore, its oceanic setting makes the country vulnerable to tsunamis when an earthquake occurs below or near the ocean. Therefore, the Japanese government spends a large amount of the disaster risk management budget on disaster prevention. The country invests in disaster prevention systems such as earthquake alert systems in mobile phones, emergency facilities, evacuation centers, as well as earthquake-resistant buildings, which are designed to move with the quake. The triple disaster in 2011 The highest cost of damage caused by natural disasters, as well as the highest number of people killed by natural disasters in Japan, was recorded in 2011, when the Great East Japan Earthquake, also referred to as the Tohoku earthquake, took place. Japan recorded over 30 earthquakes of category five or more on the JMA seismic scale in the same year, many of which were aftershocks of the Great East Japan Earthquake. The damage caused by surging water from the resulting tsunami was more destructive than the earthquake itself, as it destroyed many Japanese cities and led to the death of over 15 thousand people. Furthermore, it caused meltdowns at three reactors in the Fukushima Daiichi Nuclear Power Plant in Fukushima prefecture.

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017. This data set is the catalog of natural and induced earthquakes without duplicates. Duplicate events have been removed based on a hierarchy of the source catalogs. Explosions and mining related events have been deleted.

The Significant Earthquake Database is a global listing of over 5,700 earthquakes from 2150 BC to the present. A significant earthquake is classified as one that meets at least one of the following criteria: caused deaths, caused moderate damage (approximately $1 million or more), magnitude 7.5 or greater, Modified Mercalli Intensity (MMI) X or greater, or the earthquake generated a tsunami. The database provides information on the date and time of occurrence, latitude and longitude, focal depth, magnitude, maximum MMI intensity, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each earthquake. If the earthquake was associated with a tsunami or volcanic eruption, it is flagged and linked to the related tsunami event or significant volcanic eruption.

This data set portrays the expected average annual fatalities from earthquakes determined by using PAGER's vulnerability functions that are unique to each country. These relationships are highly approximate and are a proxy approach to quantifying earthquake losses. Accuracy can vary by an order of magnitude for places that lack empirical loss data.Site specific soil factors based on Vs30 shear wave velocities were implemented using a simple topographic proxy technique (Allen and Wald, 2009).

This dataset contains ground motion velocity and acceleration seismic waveforms recorded by the Southern California Seismic Network (SCSN) and archived at the Southern California Earthquake Data Center (SCEDC). A Distributed Acousting Sensing (DAS) dataset is included.

The USGS Earthquake Hazards Program of the U.S. Geological Survey (USGS) is part of the National Earthquake Hazards Reduction Program (NEHRP) led by the National Institute of Standards and Technology (NIST).

The USGS role in NEHRP is to provide Earth sciences information and products for earthquake loss reduction. The goals of the USGS' Earthquake Hazards Program are: * Improve earthquake hazard identification and risk assessment methods and their use; * Maintain and improve comprehensive earthquake monitoring in the United States with focus on "real-time" systems in urban areas; * Improve the understanding of earthquakes occurrence and their effects and consequences.

This dataset can be used to provide and apply relevant earthquake science information and knowledge for reducing deaths, injuries, and property damage from earthquakes through understanding of their characteristics and effects and by providing the information and knowledge needed to mitigate these losses.

Statistics of earthquakes with ML≥4.5 in the study area.

The dataset comprises information about the magnitudes, distances and periods of ground motion measurements from an analysis of earthquake ground motions from induced events in Oklahoma and Kansas. The data set also includes ground motion residuals from comparing earthquake ground shaking with commonly used models for predicting ground motions in the U.S.

Since 1900, the earthquake in Tangshan in China in 1976 caused the highest number of deaths, reaching over 240,000. However, some estimate the number to be over 650,000 fatalities. The earthquake in Haiti in 2010 has the second-highest death toll, but also here numbers vary from just above 100,000 to over 300,000 fatalities. Four of the 10 deadliest earthquakes during the period were registered in China.

The statistic shows the global death toll due to earthquakes from 2000 to 2015. Around 9,624 people died worldwide in 2015 as a result of earthquakes. Earthquakes

Earthquakes are typically caused by the movement of the earth crusts. These movements cause vibrations which pass through and around the world.

Earthquake Early Warning systems use seismic networks to detect earthquakes very rapidly so that these warnings can protect peoples' lives. Nevertheless, an earthquake may cause injury and death. According to the U.S. Geological Survey, over 316,000 people were killed in the earthquake in Haiti in 2010.

With a total number of 3,000 killed people, the earthquake in San Francisco on April 18, 1906 is the earthquake that caused the most fatalities within the United States. The number of fatalities includes people killed by earthquakes and resulting fires in San Francisco.

The global number of deaths due to earthquakes varies from year to year. In 2010, about 320,120 people died as a result of earthquakes worldwide. In 2012 earthquakes only caused 768 fatalities.

The world’s strongest earthquake in the time period from 1990 and 2013, according to measurement in the Richter scale, was the earthquake in Chile in 1960. With a magnitude of 9.5 this earthquake is the highest ranked earthquake. The Richter scale helps to quantify the energy released by an earthquake. The magnitude of 9.0 and higher is defined as ‘Near or at total destruction - severe damage or collapse to all buildings. Heavy damage and shaking extends to distant locations. Permanent changes in ground topography. Death toll usually over 50,000.’

AHEAD, the European Archive of Historical Earthquake Data 1000-1899, is a distributed archive aiming at preserving, inventorying and making available, to investigators and other users, data sources on the earthquake history of Europe, such as macroseismic intensity data, and parametric catalogues. AHEAD relies on independent, regionally managed data archives. At present, eight regional nodes team up in AHEAD covering Italy, France, Switzerland, Spain, Catalunya, Belgium, and Greece. Data on areas not covered by a regional archive is retrieved from the scientific literature. AHEAD inventories seismological data organized either in regional databases or in scientific papers, and does not archive historical sources (e.g. manuscripts, letters, dispatch) examined by the compilers of these studies. A great effort is being put in identifying and clearly marking fake earthquakes, i.e. events wrongly reported as earthquakes in catalogues. AHEAD can be queried by earthquake, to access the datasets related to each individual earthquake, or by data source. The query by earthquake allows the user to visualise the full earthquake list or a portion of it, filtered by time-window, magnitude class or number of intensity data, or entering a custom geographical selection. Once selected, users access all archived data on the earthquakes, such as i) parameters (e.g., location and magnitude) from the European PreInstrumental Earthquake Catalogue EPICA 1000-1899 and from all the available alternative solutions from published regional catalogues, ii) macroseismic data from supporting seismological studies, and iii) bibliographic metadata of the considered sources. The query by data source introduces the user to the list of archived seismological studies that provide data on the inventoried earthquakes. Each study can be clicked, giving access to the PDF of the original text when available or when the copyright allows for it, or a link to the publisher when the PDF is not available. For each seismological study a list of considered earthquakes and a map showing their epicentres are also shown. Following some pioneering attempts in the early 1990s, AHEAD was initiated and built up in the frame of the EC Project NERIES, Network of Research Infrastructures for European Seismology (2006 and 2010). INGV Milan coordinated the NERIES Task NA4 called “Distributed Archive of Historical Earthquake Data”, and then continued the development during the EC Project SHARE, Seismic Hazard Harmonization in Europe (2009-2012), aimed at compiling a European earthquake catalogue called SHEEC. Afterwards AHEAD has been maintained and further implemented by INGV in the framework of the EC initiative EPOS, aimed at setting up the European Plate Observing System (2010-2012) a new ERIC, European Research Infrastructure Consortium, and of the SERA Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe Horizon 2020 Project. AHEAD is currently supported by the Joint Research Unit EPOS Italia funded by the Italian Ministry of University and Research and the Horizon Europe Project Geo-INQUIRE (Geosphere INfrastructures for Questions into Integrated Research). Data e Risorse Questo dataset non ha dati terremoti

Earthquakes all around the world, including location, depth, magnitude, and source of information

1) Data Introduction • The Global Earthquake Data is an earthquake observation dataset that provides detailed information about 1,137 earthquakes around the world, including 43 attributes including magnitude, location, time of occurrence, epicenter depth, and intensity.

2) Data Utilization (1) Global Earthquake Data has characteristics that: • This dataset consists of various geological, geographic, and temporal characteristics and metadata such as earthquake magnitude, depth, latitude and longitude, location, time and date of occurrence, felt, cdi and mmi, tsunami occurrence, and alert. (2) Global Earthquake Data can be used to: • Analysis of earthquake occurrence patterns and risk areas: Using data such as earthquake scale, location, and time of occurrence, it can be used to analyze the spatio-temporal distribution and risk areas of earthquakes around the world, and to prepare for disasters and to evaluate earthquake risk. • Development of earthquake prediction and classification models: Based on various seismic characteristics data, it can be used for geological research and practical application models such as machine learning-based earthquake prediction, classification, and impact analysis.

The NOAA National Centers for Environmental Information decommissioned the United States Earthquake Intensity Database, 1638-1985 on May 05, 2025 with no further updates. Upon termination, the underlying data will be available from https://doi.org/10.25921/wa4z-d240. Comments and questions may be sent to: ncei.info@noaa.gov. Note this metadata record is accompanied by another newer version of metadata for the same product. The United States Earthquake Intensity Database is a collection of damage and felt reports for over 23,000 U.S. earthquakes from 1638-1985. The majority of intensities are for U.S. cities, but there are also a few earthquakes and intensities for Panama (1925-1975), the Philippines (1926-1937), and Mexico (1887-1981). The data were compiled from various publications, newspaper reports, and special catalogs. The annual serial "United States Earthquakes," is the principal data source and provides 90 percent of the observations. Most records in the file contain the date and time of occurrence and location of the earthquake, magnitude, focal depth, two-digit state code, name and coordinates of observing city or town, the observed intensity at each town, and the distance from city (or locality) to epicenter. The file consists of more than 150,000 earthquake intensity observations. The data file serves as an important information source for the preparation of intensity histories that are useful for environmental and hazard impact statements. The file is static and is no longer being updated.