The graph illustrates the number of tornado-related fatalities in the United States from 2008 to 2024. The x-axis represents the years, abbreviated from ’08 to ’24, while the y-axis shows the number of deaths each year. Fatalities range from a low of 10 in 2018 to a peak of 553 in 2011. Most years have fatalities between 18 and 126, with notable exceptions in 2020 (76 deaths), 2021 (101 deaths), and 2023 (83 deaths). The data is presented in a bar graph format, highlighting the significant spike in fatalities in 2011 and the overall variability in tornado-related deaths over the 16-year period.

In 2023, there were a total of 86 fatalities reported due to tornadoes in the United States, up from 23 fatalities in the previous year. This was the lowest figure reported in the North American country since 2018, when a total of 10 lives were lost due to tornadoes. On the other hand, the highest figure reported in the U.S. since 1995 was in 2011, when tornadoes caused 553 fatalities.

The United States experienced a significant surge in tornado activity in 2024, with 1,910 reported across the country. This marked a substantial increase from previous years, highlighting the unpredictable nature of these violent atmospheric phenomena. Fatalities and economic impact While tornado frequency increased, the death toll from such events remained relatively low compared to historical peaks. In 2023, 86 fatalities were reported due to tornadoes, a notable increase from the 23 deaths in 2022 but far below the 553 lives lost in 2011. Moreover, the economic impact of these storms was substantial, with tornado damage in 2023 amounting to approximately 1.38 billion U.S. dollars, nearly doubling from the previous year. However, this pales in comparison to the record-setting damage of 9.5 billion U.S. dollars in 2011. Comparison to other extreme weather events While tornadoes pose significant risks, hurricanes have historically caused more extensive damage and loss of life in the United States. Hurricane Katrina in 2005 remains the costliest tropical cyclone in recent decades, with damages totaling 200 billion U.S. dollars when adjusted to 2024 values. The impact of such extreme weather events extends beyond immediate destruction, as evidenced by the 1,518 hurricane-related fatalities recorded in 2005. As climate change continues to influence weather patterns, both tornado and hurricane activity may see further shifts in frequency and intensity in the years to come.

In 2023, tornadoes resulted in approximately 1.38 billion U.S. dollars worth of damage across the United States. This was an increase of almost 95 percent in comparison to the previous year. The North American country's economic damage caused by tornadoes peaked in 2011, at nearly 9.5 billion U.S. dollars. That same year, the number of fatalities due to tornadoes in the United States was also the highest.

In 2023, storms caused nearly 15,000 deaths across the globe. the third-largest figure recorded since 1990. In the past three decades, the highest annual deathtoll due to storms was registered in 1991, when storm events were responsible for the death of more than 146 thousand people worldwide. That year, a massive cyclone hit Bangladesh, becoming one of the deadliest storms of the century. The death count due to storms was also remarkably high in 2008, mainly associated with a cyclone which hit Myanmar in May.

This table contains a summary of the number of tornadoes by year for the United States. The table also provides summary statistics for fatalities, injuries, magnitude, and crop losses by hour. The data should be downloaded and used in a spreadsheet program like Excel, Numbers, or Google Sheets. Data is derived from Tornado data from the National Weather Service.

This ranking shows the ten deadliest tornadoes in U.S. history, ranked by the death toll of their victims. The deadliest tornado of all time in the United States was the Tri-State Tornado on March 18, 1925 in Missouri, Illinois and Indiana. It killed 695 people and injured over 2,000.

This table contains the number of tornadoes by month for the United States. Each month also has summary statistics for fatalities, injuries, magnitude, and crop loss. The data should be downloaded and used in a spreadsheet program like Excel, Numbers, or Google Sheets. Data is derived from Tornado data from the National Weather Service.

Spatial model of Vermont tornado climatology. Models Vermont tornado events per long-term data collection (data date-range is January 1950 - February 2019). Provides access to Vermont tornado-event information.Data-source credit: NCEI (National Centers for Environmental Information) (https://www.ncei.noaa.gov/).Downloaded tornado-event data--in CSV format--from NCEI database on 06/06/2019. Data period is 01/1950-02/2019. Imported data to a geodatabase. Used beginning latitude/longitude values to spatially enable the data; 1 record was missing a beginning latitude/longitude (record w/ EVENT_ID = 10355004)--estimated beginning latitude/longitude of that event by referencing its EVENT_NARRATIVE. Removed fields so that fields focus on core event-info. Projected data to Vermont State Plane NAD83 meters. Moved narrative fields (EVENT_NARRATIVE and EPISODE_NARRATIVE) fields to a separate non-spatial table; those fields have lengthy contents that exceed the shapefile text-field limit--intention is to make them available in open-data portal as CSV table that is joinable to the feature class (via EVENT_ID field).Feature-Class Climate_VTTORNADOS_point FIELD DESCRIPTIONS:EVENT_ID: Unique ID assigned by NWS to note a single, small part that goes into a specific storm episode.BEGIN_DATE: Beginning date.TOR_F_SCALE: Enhanced Fujita Scale describes the strength of the tornado based on the amount and type of damage caused by the tornado. The F-scale of damage will vary in the destruction area; therefore, the highest value of the F-scale is recorded for each event.DEATHS_DIRECT: The number of deaths directly related to the weather event.INJURIES_DIRECT: The number of injuries directly related to the weather event.DAMAGE_PROPERTY_NUM: The estimated amount of damage to property incurred by the weather event. (e.g. 10.00K = $10,000; 10.00M = $10,000,000)DAMAGE_CROPS_NUM: The estimated amount of damage to crops incurred by the weather event. (e.g. 10.00K = $10,000; 10.00M = $10,000,000)TOR_LENGTH: Length of the tornado or tornado segment while on the ground (minimal of tenths of miles)TOR_WIDTH: Width of the tornado or tornado segment while on the ground (in feet)ENDING_LAT: Ending latitude (not available in all records).ENDING_LON: Ending longitude (not available in all records).Table Table_VTTORNADOS_Narratives FIELD DESCRIPTIONS:EVENT_ID: Unique ID assigned by NWS to note a single, small part that goes into a specific storm episode. Can join to EVENT_ID field of Climate_VTTORNADOS_point.EVENT_NARRATIVE: The event narrative provides more specific details of the individual event. The event narrative is provided by NWS.EPISODE_NARRATIVE: The episode narrative depicting the general nature and overall activity of the episode. The narrative is created by NWS. Ex: A strong upper level system over the southern Rockies lifted northeast across the plains causing an intense surface low pressure system and attendant warm front to lift into Nebraska.VCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.

We provide a dataset of tornadoes and waterspouts in Chile from 1554 to present based in chronicles, newspaper articles, social media, scientific literature and books. The database includes only those events that have been qualified as more than likely a tornado or waterspout based on a subjective qualification by the researchers. For each tornado we provide at least one geographical location point, the local and UTC hour (if known) and for most cases an estimation of the intensity based on the Enhanced Fujita damage scale.The following are the parameters contained in the database:N°: This is the entry number or identifier for each record in the file.Location: The name of the place where the weather event occurred.Latitude: The geographical latitude coordinate of the event's location.Longitude: The geographical longitude coordinate of the event's location.Date (Gregorian Calendar): The date when the event occurred, according to the Gregorian calendar.Hour (local): The local time when the event occurred.Hour (UTC): The time of the event in Coordinated Universal Time (UTC).Sound: A binary indicator (usually 1 for 'Yes' and 0 for 'No') showing whether there was a notable sound associated with the event.Hail: A binary indicator showing whether hail was a feature of the weather event.Electric Storm: A binary indicator showing whether the event involved an electric storm.Damage: A binary indicator showing whether there was any damage resulting from the event.Tornado: A binary indicator showing whether a tornado was a part of the event.Waterspout: A binary indicator showing whether a waterspout was observed during the event.Register: This column refers to the existence of some witness account or visual material of a rotating column.Max. EF Rating: The maximum Enhanced Fujita Scale rating assigned to the tornado, indicating its intensity.Analyst: The name or initials of the person who analyzed or reported the event.Fatalities: The number of fatalities (deaths) caused by the event.Injured: The number of injuries reported due to the event.Link to Documents: References or links to documents where the event is described or recorded.Sources: The sources or references from where the information about the event is derived.Comments: Additional remarks or notes about the event, providing context or extra details.

Tornado Archive contains a chronological listing, by state, of tornadoes. The reports are provided by the National Weather Service and contain statistics on injuries and damage estimates. The Tornado Archive has been compiled from the Climatic Data National Summary (CDNS) from 1950-1959 and from the Storm Data Publication since 1959. These data have been coded according to the Pearson Tornado Tape 82-column text format. Major parameters are U.S. state, date, time, type of tornado, accompanying weather conditions, number of US states passed through, number of tornado segments, beginning latitude and longitude, ending latitude and longitude, track length, percent of tornado segment path on ground, direction of tornado movement, tornado visual characteristics, direction of rotation, path width, number of fatalities, number of injuries, estimated damage cost code, US counties involved, Fujita scale code, estimated path length code (excludes sections without surface disturbances), estimated path width code, and source of tornado report.

There were a total of 1,033 fatalities reported due to heat waves, wildfires, and drought in the United States in 2024. In total, there were about 1,576 fatalities due to severe natural disasters in the United States that year.

The dataset contains year- and state-wise historically compiled data on the number of deaths which have happened due to forces of nature/natural calamities such as Avalanche, Cyclone Earthquake, Epidemic, Exposure to Cold, Flood, Forest Fire, Heat or Sun Stroke, Landslide, Lightning, Tornado, Torrential Rain, Tsunami, Starvation or Thirst caused by calamities, and others.

About nice deaths across India were reported due to natural disasters such as cyclones, tornadoes and tsunamis in the year 2022. This showed a significant decrease compared to the previous year. The highest number of casualties recorded over the last decade was in 2018. Majority of the deaths were due to the tropical cyclones which hit the country during that time period.

This table contains a summary of the number of tornadoes by hour (24 hour time) for the United States. The table also provides summary statistics for fatalities, injuries, magnitude, and crop losses by hour. The data should be downloaded and used in a spreadsheet program like Excel, Numbers, or Google Sheets. Data is derived from Tornado data from the National Weather Service.

In 2024, tropical cyclones caused the most damage in the United States. Such a type of storm, for instance, resulted in overall losses of ***** billion U.S. dollars. Meanwhile, wildfires, droughts, and heatwaves resulted in economic losses of $ **** billion U.S. dollars. Severe convective storms were the second most destructive natural disaster that year, with a loss of almost **** billion U.S. dollars. Impact of severe thunderstorms in the U.S. Severe thunderstorms pose a great risk to public safety and often result in fatalities. People can be harmed in many ways during a thunderstorm, such as being directly struck by lightning or hurt when a building collapses/tree falls. In 2019, ** people were killed as a result of severe thunderstorms. Lightning strikes alone caused ** deaths and *** injuries in that year. How much was paid out due to thunderstorms? The high risk of damage posed by thunderstorms means that insurance cover is an important tool in reducing the losses incurred. In 2020 alone, approximately ****** homeowner insurance claims were paid due to lightning losses.

This data set contains Tornadoes that occurred in Tennessee between 1950 and 2017. The data was downloaded from the NWS Storm Prediction Center.Column Names and Definitions from the NWS (pdf)om - Tornado number - A count of tornadoes during the y ear: Prior to 2007, these numbers were assigned to the tornado as the information arrived in the NWS database. Since 2007, the numbers may have been assigned in sequential (temporal) order after event date/times are converted to CST. However, do not use "om" to count the sequence of tornadoes through the year as sometimes new entries have come in late, or corrections are made, and the data are not re-sequenced.NOTE: Tornado segments that cross state borders and/or more than 4 counties will have same OM number. See information about fields 22-24 below.yr - Year, 1950-2017mo - Month, 1-12dy - Day, 1-31date - Date - in format yyyy-mm-dd formattime - Time - in format HH:MM:SStz - Time Zone - All t imes, except for ?=unkown and 9=GMT, were converted to 3=CST. This should be accounted for when building queries for GMT summaries such as 12z- 12z.st - State - Two letter postal abbreviation (PR=Puerto Rico. VI=Virgin Islands)stf - State FIPS Number - Note some Puerto Rico codes are incorrectstn - State Number - number of this tornado, in this state, in this year: May not be sequential in some years. Note: discontinued in 2008. This number can be calculated in a spreadsheet by sorting and after accounting for border crossing tornadoes and 4+ county segments.f - F-Scale - F-scale (EF-scale after Jan. 2007): values -9, 0, 1, 2, 3, 4, 5 (-9=unknown).inj - Injuries - when summing for state totals use sn=1, not sg=1 (see below)fat - Fatalities - when summing for state totals use sn=1, not sg=1 (see below)loss - Estimated property loss information - Prior to 1996 this is a categorization of tornado damage by dollar amount (o or blank-unknown; 1<$50, 2=$50-$500, 3=$500-$5,000, 4=$5,000-$50,000; 5=$50,000-$500,000, 6=$500,000-$5,000,000, 7=$5,000,000-$50,000,000, 8=$50,000,000-$500,000,000; 9=$5,000,000,000) When summing for state total use sn= 1, not Sg=1 (see below). From 1996, this is tornado property damage in millions of dollars. Note: this may change to whole dollar amounts in the future. Entry of 0 does not mean $0.closs - Estimated crop loss in millions of dollars (started in 2007). Entry of 0 does not mean 0$Tornado database file updated to add "fc" field for estimated F-scale rating in 2016. Valid for records altered between 1950-1982. slat - Starting latitude in decimal degreesslong - Starting longitude in decimal degreeselat - Ending latitude in decimal degreeselon - Ending longitude in decimal degreeslen - Length in mileswid - Width in yardsns, sn, sg - Understanding these fields is critical to counting state tornadoes, totaling state fatalities/losses. The tornado segment information can be thought of as follows:ns - Number of States affected by this tornado: 1, 2, or 3.sn - State Number 1 or 0 (1=entire track info in this state)sg - Tornado Segment number: 1, 2, or -9 (1 = entire track info)1,1,1 = Entire record for the track of the tornado (unless all 4 fips codes are non -zero).1,0,-9 = Continuing county fips code information only from 1,1,1 record, above (same om).2,0,1 = A two-state tornado (st=state of touchdown, other fields summarize entire track).2,1,2 = First state segment for a two-state (2,0,1) tornado (state same as above, same om).2,1,2 = Second state segment for two-state (2,0,1) tornado (state tracked into, same om).2,0,-9 = Continuing county fips for a 2,1,2 record that exceeds 4 counties (same om).3,0,1 = A three-state (st=state of touchdown, other fields summarize entire track).3,1,2 = First state segment for a three-state (3,0,1) tornado (state same as 3,0,1, same om).3,1,2 = Second state segment for three-state (3,0,1) tornado (2nd state tracked into, same om as 3,0,1 record).3,1,2 = Third state segment for a three-state (3,0,1) tornado (3rd state tracked into, same om as the initial 3,0,1 record).f1 - 1st county FIPS codef2 - 2nd county FIPS codef3 - 3rd county FIPS codef4 - 4th county FIPS codefc - fc = 0 for unaltered (E)F - scale rating. fc = 1 if previous rating was -9 (unknown)