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- Tornado Archive
Tornado Archive
The National Oceanic and Atmospheric Administration has been tracking tornadoes for decades. This interactive map, which contains data from January 1950 to March 31, 2024, pinpoints where a cyclone touched down and traces its path of destruction. For more recent tornadoes, clicking deeper provides more details, damage estimates and whether someone was injured or killed in the storm.
Map
Florida is in a scramble to re-energize the state as quickly as possible. Here's a guide to the percentage of power outages in each county. Click on each county to see the details.
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F Scale***
EF5
EF4
EF3
EF2
EF1
EF0
Not Available
*** 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. EF0 – Light Damage (40 – 72 mph), EF1 – Moderate Damage (73 – 112 mph), EF2 – Significant damage (113 – 157 mph), EF3 – Severe Damage (158 – 206 mph), EF4 – Devastating Damage (207 – 260 mph), EF5 – Incredible Damage (261 – 318 mph)
Source: National Oceanic and Atmospheric Administration
Yearly Summary in Ohio
| Year | # of Tornadoes | Direct Injury | Indirect Injury | Direct Fatality | Indirect Fatality | Property Damage | Crop Damage |
|---|---|---|---|---|---|---|---|
| All | 1,459 | 4,702 | 2 | 199 | 1 | $2,952,476,540 | $5,558,500 |
| 2024 | 30 | 32 | 1 | 3 | 0 | $15,070,000 | |
| 2023 | 62 | 7 | 0 | 0 | 0 | $10,036,000 | $5,000 |
| 2022 | 33 | 5 | 0 | 0 | 0 | $6,637,750 | |
| 2021 | 33 | 1 | 0 | 0 | 0 | $4,105,500 | $60,000 |
| 2020 | 24 | 0 | 0 | 0 | 0 | $1,725,000 | |
| 2019 | 58 | 180 | 1 | 1 | 1 | $584,895,000 | |
| 2018 | 19 | 0 | 0 | 0 | 0 | $2,360,000 | |
| 2017 | 44 | 10 | 0 | 0 | 0 | $23,730,000 | $35,000 |
| 2016 | 26 | 0 | 0 | 0 | 0 | $1,160,500 | $30,000 |
| 2015 | 7 | 2 | 0 | 0 | 0 | $890,000 | $5,000 |
| 2014 | 21 | 0 | 0 | 0 | 0 | $2,594,000 | |
| 2013 | 37 | 8 | 0 | 0 | 0 | $7,220,000 | $5,000 |
| 2012 | 15 | 15 | 0 | 4 | 0 | $8,895,000 | $35,000 |
| 2011 | 40 | 0 | 0 | 0 | 0 | $2,586,000 | $3,000 |
| 2010 | 51 | 42 | 0 | 7 | 0 | $144,793,000 | $4,000 |
| 2009 | 13 | 0 | 0 | 0 | 0 | $308,000 | $26,000 |
| 2008 | 15 | 6 | 0 | 0 | 0 | $3,342,000 | |
| 2007 | 13 | 0 | 0 | 0 | 0 | $2,575,000 | $1,000 |
| 2006 | 37 | 1 | 0 | 0 | 0 | $55,453,000 | $61,000 |
| 2005 | 4 | 0 | 0 | 0 | 0 | $220,000 | |
| 2004 | 9 | 1 | 0 | 0 | 0 | $300,000 | |
| 2003 | 13 | 4 | 0 | 0 | 0 | $22,556,000 | $108,000 |
| 2002 | 34 | 30 | 0 | 5 | 0 | $142,366,200 | |
| 2001 | 9 | 1 | 0 | 0 | 0 | $3,109,000 | |
| 2000 | 27 | 107 | 0 | 1 | 0 | $21,617,000 | $160,000 |
| 1999 | 22 | 75 | 0 | 4 | 0 | $93,235,000 | $5,000 |
| 1998 | 26 | 16 | 0 | 1 | 0 | $21,356,000 | $5,000,000 |
| 1997 | 15 | 0 | 0 | 0 | 0 | $2,965,000 | $10,000 |
| 1996 | 10 | 2 | 0 | 0 | 0 | $662,000 | $500 |
| 1995 | 8 | 4 | 0 | 0 | 0 | $3,402,000 | |
| 1994 | 9 | 0 | 0 | 0 | 0 | $1,700,000 | $5,000 |
| 1993 | 5 | 3 | 0 | 0 | 0 | $2,050,000 | |
| 1992 | 63 | 63 | 0 | 0 | 0 | $87,830,000 | |
| 1991 | 9 | 18 | 0 | 0 | 0 | $25,600,000 | |
| 1990 | 32 | 29 | 0 | 1 | 0 | $115,952,500 | |
| 1989 | 19 | 17 | 0 | 0 | 0 | $17,300,000 | |
| 1987 | 6 | 0 | 0 | 0 | 0 | $375,000 | |
| 1986 | 27 | 41 | 0 | 3 | 0 | $28,100,000 | |
| 1985 | 27 | 342 | 0 | 11 | 0 | $842,625,000 | |
| 1984 | 2 | 0 | 0 | 0 | 0 | $275,000 | |
| 1983 | 10 | 52 | 0 | 2 | 0 | $53,777,500 | |
| 1982 | 10 | 20 | 0 | 0 | 0 | $6,100,000 | |
| 1981 | 27 | 81 | 0 | 4 | 0 | $33,660,000 | |
| 1980 | 37 | 57 | 0 | 0 | 0 | $57,130,000 | |
| 1979 | 4 | 4 | 0 | 0 | 0 | $550,000 | |
| 1978 | 22 | 14 | 0 | 0 | 0 | $17,200,000 | |
| 1977 | 24 | 47 | 0 | 0 | 0 | $35,227,500 | |
| 1976 | 12 | 0 | 0 | 0 | 0 | $1,127,750 | |
| 1975 | 12 | 5 | 0 | 0 | 0 | $3,605,250 | |
| 1974 | 25 | 1,398 | 0 | 42 | 0 | $257,182,500 | |
| 1973 | 55 | 140 | 0 | 6 | 0 | $9,848,060 | |
| 1972 | 10 | 0 | 0 | 1 | 0 | $677,500 | |
| 1971 | 15 | 17 | 0 | 0 | 0 | $5,977,500 | |
| 1970 | 23 | 17 | 0 | 0 | 0 | $1,722,500 | |
| 1969 | 21 | 354 | 0 | 5 | 0 | $9,115,500 | |
| 1968 | 20 | 137 | 0 | 9 | 0 | $13,880,280 | |
| 1967 | 6 | 4 | 0 | 0 | 0 | $532,500 | |
| 1966 | 3 | 23 | 0 | 0 | 0 | $2,775,000 | |
| 1965 | 39 | 742 | 0 | 62 | 0 | $96,330,000 | |
| 1964 | 9 | 7 | 0 | 0 | 0 | $630,000 | |
| 1963 | 19 | 10 | 0 | 0 | 0 | $8,260,000 | |
| 1962 | 4 | 20 | 0 | 4 | 0 | $2,777,500 | |
| 1961 | 20 | 28 | 0 | 2 | 0 | $4,387,500 | |
| 1960 | 7 | 0 | 0 | 0 | 0 | $105,250 | |
| 1959 | 10 | 6 | 0 | 0 | 0 | $515,500 | |
| 1958 | 12 | 14 | 0 | 0 | 0 | $650,000 | |
| 1957 | 4 | 3 | 0 | 0 | 0 | $525,000 | |
| 1956 | 10 | 5 | 0 | 2 | 0 | $1,530,000 | |
| 1955 | 6 | 12 | 0 | 1 | 0 | $3,500,000 | |
| 1954 | 13 | 4 | 0 | 1 | 0 | $855,000 | |
| 1953 | 8 | 379 | 0 | 17 | 0 | $50,000 | |
| 1952 | 2 | 4 | 0 | 0 | 0 | $275,000 | |
| 1951 | 3 | 5 | 0 | 0 | 0 | $7,500,000 | |
| 1950 | 3 | 31 | 0 | 0 | 0 | $2,525,000 |
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{"type":"Feature","properties":{"GEO_ID":"36","NAME":"New York","slug":"new-york"},"geometry":{"type":"MultiPolygon","coordinates":USS36 }}, {"type":"Feature","properties":{"GEO_ID":"37","NAME":"North Carolina","slug":"north-carolina"},"geometry":{"type":"MultiPolygon","coordinates":USS37 }}, {"type":"Feature","properties":{"GEO_ID":"38","NAME":"North Dakota","slug":"north-dakota"},"geometry":{"type":"MultiPolygon","coordinates":USS38 }}, {"type":"Feature","properties":{"GEO_ID":"40","NAME":"Oklahoma","slug":"oklahoma"},"geometry":{"type":"MultiPolygon","coordinates":USS40 }}, {"type":"Feature","properties":{"GEO_ID":"41","NAME":"Oregon","slug":"oregon"},"geometry":{"type":"MultiPolygon","coordinates":USS41 }}, {"type":"Feature","properties":{"GEO_ID":"42","NAME":"Pennsylvania","slug":"pennsylvania"},"geometry":{"type":"MultiPolygon","coordinates":USS42 }}, {"type":"Feature","properties":{"GEO_ID":"44","NAME":"Rhode 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{"type":"Feature","properties":{"GEO_ID":"51","NAME":"Virginia","slug":"virginia"},"geometry":{"type":"MultiPolygon","coordinates":USS51 }}, {"type":"Feature","properties":{"GEO_ID":"53","NAME":"Washington","slug":"washington"},"geometry":{"type":"MultiPolygon","coordinates":USS53 }}, {"type":"Feature","properties":{"GEO_ID":"54","NAME":"West Virginia","slug":"west-virginia"},"geometry":{"type":"MultiPolygon","coordinates":USS54 }}, {"type":"Feature","properties":{"GEO_ID":"55","NAME":"Wisconsin","slug":"wisconsin"},"geometry":{"type":"MultiPolygon","coordinates":USS55 }}, {"type":"Feature","properties":{"GEO_ID":"56","NAME":"Wyoming","slug":"wyoming"},"geometry":{"type":"MultiPolygon","coordinates":USS56 }}, ]};var mapvar = 'tsv';//var mapcc = [ "step", ["get", mapvar], "#FFFFFF",-0.1,"#8ab5ac", 0.9, "#afbf37", 1.9, "#e6e631", 2.9, "#b87023", 3.9, "#d91d0f", 4.9, "#B41B10" ];var maprs = [ "step", ["get", mapvar], 4,0,4, 1, 5, 2, 6, 3, 7, 4, 8, 5, 9 ];var mapcc = [ "step", ["get", mapvar], "#FFFFFF",0,"#18C0B6", 1, "#37C018", 2, "#C0B618", 3, "#C07118", 4, "#C01818", 5, "#C01880" ];map.on('load', function () { var layers = map.getStyle().layers; var firstSymbolId; for (var i = 0; i < layers.length; i++) { if (layers[i].type === 'symbol') { firstSymbolId = layers[i].id; break; } } map.addLayer({ "id": "states", "type": "fill", "source": { "type": "geojson", "data":TSTATE_U }, "paint": {'fill-color':'#FFF', 'fill-opacity':0.5, 'fill-outline-color': '#666666', }, "filter": ["==", "$type", "Polygon"]},firstSymbolId); map.on('click', 'states', function (e) {new mapboxgl.Popup({ offset: 2 }).setLngLat(e.lngLat).setHTML(onStateGeneralFeature(e.features[0])).addTo(map);}); map.addLayer({ "id": "tor_cir", "type": "circle", "source": { "type": "geojson", "data":TornadoState }, "filter":["all",["==","$type","Point"]], "paint": {'circle-color':mapcc, 'circle-radius': maprs, 'circle-opacity':0.9, 'circle-stroke-width':1.0, 'circle-stroke-color':"#333" }},firstSymbolId); map.on('click', 'tor_cir', function (e) {new mapboxgl.Popup({ offset: 2 }).setLngLat(e.lngLat).setHTML(onTornadoFeature(e.features[0])).addTo(map);}); map.addLayer({ "id": "tor_line", "type": "line", "source": { "type": "geojson", "data":TornadoState }, "filter":["all",["==","$type","LineString"]], "paint": {'line-color':'#666', 'line-opacity':0.9, 'line-width': 1.2 }},firstSymbolId); for (lname of ['tor_cir','states']) { map.on('mouseenter', lname, function () {map.getCanvas().style.cursor = 'pointer'; }); map.on('mouseleave', lname, function () {map.getCanvas().style.cursor = '';}); }});map.addControl(new mapboxgl.NavigationControl(), 'top-left');
