Global Temperatures and Precipitation
Listed in alphabetical order by city.
|
|
AVERAGE TEMPERATURE ° |
F(°C) |
AVERAGE ANNUAL PRECIPI- |
|
CITY |
JAN |
APR |
JUL |
OCT |
TATION LEVELS IN INCHES (MM) |
Ankara, Turkey |
27 (-2) |
49 (9) |
69 (20) |
52 (11) |
13.6 (346) |
Beijing, China |
26 (-3) |
57 (13) |
79 (26) |
57 (13) |
25.1 (630) |
Buenos Aires, Argentina |
75 (23) |
62 (16) |
50 (10) |
61 (16) |
38.5 (970) |
Cairo, Egypt |
57 (13) |
71 (21) |
83 (28) |
75 (23) |
1(25) |
Casablanca, Morocco |
55 (12) |
60 (15) |
73 (22) |
66 (18) |
16.1 (400) |
Christchurch, New Zealand |
63 (17) |
54 (12) |
44 (6) |
53 (11) |
25.5 (640) |
Colombo, Sri Lanka |
81 (27) |
84 (28) |
83 (28) |
82 (27) |
87.8 (2,230) |
Doha, Qatar |
63 (17) |
80 (26) |
96 (35) |
85 (29) |
3.2 (80) |
Hanoi, Vietnam |
62 (16) |
76 (24) |
86 (30) |
78 (25) |
66.2 (1,682) |
Havana, Cuba |
71 (21) |
76 (24) |
82 (27) |
78 (25) |
48.2 (1,225) |
Jerusalem, Israel |
46 (7) |
59 (15) |
73 (22) |
66 (18) |
23 (580) |
Johannesburg, South Africa |
69 (20) |
61 (16) |
52 (11) |
64 (17) |
28.7 (720) |
Kandahar, Afghanistan |
44 (6) |
68 (19) |
89 (31) |
64 (17) |
7.4 (180) |
Lima, Peru |
74 (23) |
71 (21) |
64 (17) |
65 (18) |
0.3 (7.6) |
Lisbon, Portugal |
51 (10) |
58 (14) |
73 (22) |
64 (17) |
27.9 (708) |
London, UK |
39 (3) |
46 (7) |
62 (16) |
51 (10) |
29.7 (750) |
Mbarara, Uganda |
69 (20) |
69 (20) |
68 (20) |
69 (20) |
35.3 (890) |
Moscow, Russia |
16 (-8) |
42 (5) |
63 (17) |
39 (3) |
23.6 (590) |
Nice, France |
48 (8) |
55 (12) |
74 (23) |
62 (16) |
32.4 (820) |
Nuuk, Greenland |
17 (-8) |
25 (-3) |
45 (7) |
31 (0) |
23.9 (600) |
Pala, Chad |
77 (25) |
87 (31) |
77 (25) |
78 (26) |
40.4 (1,027) |
Reykjavfk, Iceland |
31 (0) |
37 (2) |
52 (11) |
40 (4) |
32.2 (810) |
Rotterdam, The Netherlands |
38 (3) |
47 (8) |
63 (17) |
52 (11) |
N/A |
Santiago, Chile |
70 (21) |
59 (15) |
47 (8) |
58 (14) |
13.4 (340) |
Sao Paulo, Brazil |
74 (23) |
70(21) |
63 (17) |
69 (20) |
53.2 (1,350) |
South Pole, Antarctica |
-16 (-26) |
-69 (-56) |
-74 (-58) |
-58 (-50) |
0.1 (2.5) |
Sydney, Australia |
72 (22) |
65 (18) |
53 (11) |
64 (17) |
44.5 (1,130) |
Tokyo, Japan |
42 (5) |
57 (13) |
77 (25) |
64 (17) |
60.2 (1,520) |
Toronto, ON, Canada |
21 (-6) |
44 (6) |
70(21) |
48 (8) |
30.1 (760) |
Vilnius, Lithuania |
23 (-5) |
41 (5) |
62 (17) |
42 (6) |
26.3 (669) |
N/A: not available. |
|
|
|
|
|
World Temperature Extremes
highest recorded air temperature |
lowest recorded air temperature |
|||||
REGION |
PLACE (ELEVATION) |
°F |
°C |
PLACE (ELEVATION) |
°F |
°C |
Africa |
Al-’Aziziyah, Libya (112 m [367 ft]; 13 Sep 1922) |
136.0 |
57.8 |
Ifrane, Morocco (1,635 m [5,364 ft]; 11 Feb 1935) |
-11.0 - |
23.9 |
Antarctica |
Vanda Station, Scott Coast (15 m [49 ft]; 5 Jan 1974) |
59.0 |
15.0 |
Vostok, 78° 27″ S, 106° 52″ E (3,420 m [11,220 ft]; 21 Jul 1983) |
-129.0 - |
89.4 |
Asia |
Tirat Zevi, Israel (-220 m [-722 ft]; 21 Jun 1942) |
129.0 |
53.9 |
Oymyakon, Russia (806 m [2,625 ft]; 6 Feb 1933) |
-90.0 - |
67.8 |
Australia |
Cloncurry, Queensland (190 m [622 ft]; 16 Jan 1889) |
128.0 |
53.3 |
Charlotte Pass, New South Wales (1,755 m [5,758 ft]; 29 Jun 1994) |
-9.4 - |
23.0 |
Europe |
Seville, Spain (8 m [26 ft]; 4 Aug 1881) |
122.0 |
50.0 |
Ust-Shchuger, Russia (85 m [279 ft]; exact date unknown) |
-67.0 - |
55.0 |
North America |
Greenland Ranch, Death Valley, California (-54 m [-178 ft]; 10 Jul 1913) |
134.0 |
56.7 |
Snag, Yukon (646 m [2,120 ft]; 3 Feb 1947) |
-81.4 - |
63.0 |
South America |
Rivadavia, Argentina (206 m [676 ft]; 11 Dec 1905) |
120.0 |
48.9 |
Colonia, Sarmiento, Argentina (268 m [879 ft]; 1 Jun 1907) |
-27.0 - |
32.8 |
Tropical Pacific |
Tuguegarao, Philippines (22 m [72 ft]; 29 Apr 1912) |
108.0 |
42.2 |
Haleakala, Hawaii (2,972 m [9,750 ft]; 17 May 1979) |
12.0 - |
11.1 |
Normal Temperatures and Precipitation for Selected US Cities
Statistics from city airports, 1971-2000. Alphabetical by state.
|
|
MEAN TEMPERATURE (°F) |
|
ANNUAL |
|
CITY |
JAN |
APR |
JUL |
OCT |
PRECIPITATION (IN) |
Montgomery AL |
46.6 |
64.3 |
81.8 |
65.4 |
54.77 |
Anchorage Ak |
15.8 |
36.3 |
58.4 |
34.1 |
16.08 |
Phoenix AZ |
54.2 |
70.2 |
92.8 |
74.6 |
8.29 |
Little Rock AR |
40.1 |
61.4 |
82.4 |
63.3 |
50.93 |
Los Angeles CA |
57.1 |
60.8 |
69.3 |
66.9 |
13.15 |
San Francisco CA |
49.4 |
56.2 |
62.8 |
61.0 |
20.11 |
Denver CO |
29.2 |
47.6 |
73.4 |
51.0 |
15.81 |
Hartford CT |
25.7 |
48.9 |
73.7 |
51.9 |
46.16 |
Wilmington DE |
31.5 |
52.4 |
76.6 |
55.8 |
42.81 |
Miami FL |
68.1 |
75.7 |
83.7 |
78.8 |
58.53 |
Atlanta GA |
42.7 |
61.6 |
80.0 |
62.8 |
50.20 |
Honolulu HI |
73.0 |
75.6 |
80.8 |
80.2 |
18.29 |
Boise ID |
30.2 |
50.6 |
74.7 |
52.8 |
12.19 |
Chicago IL1 |
22.0 |
47.8 |
73.3 |
52.1 |
36.27 |
Indianapolis IN |
26.5 |
52.0 |
75.4 |
54.6 |
40.95 |
Des Moines IA |
20.4 |
50.6 |
76.1 |
52.8 |
34.72 |
Topeka KS |
27.2 |
54.5 |
78.4 |
56.6 |
35.64 |
Louisville KY |
33.0 |
56.4 |
78.4 |
58.5 |
44.54 |
New Orleans LA |
52.6 |
68.2 |
82.7 |
70.0 |
64.16 |
Portland ME |
21.7 |
43.7 |
68.7 |
47.7 |
45.83 |
Baltimore MD |
32.3 |
53.2 |
76.5 |
55.4 |
41.94 |
Boston MA |
29.3 |
48.3 |
73.9 |
54.1 |
42.53 |
Detroit MI |
24.5 |
48.1 |
73.5 |
51.9 |
32.89 |
Minneapolis MN |
13.1 |
46.6 |
73.2 |
48.7 |
29.41 |
Jackson MS |
45.0 |
63.4 |
81.4 |
64.4 |
55.95 |
St. Louis MO |
29.6 |
56.6 |
80.2 |
58.3 |
38.75 |
Missoula MT |
23.5 |
45.2 |
66.9 |
44.4 |
13.82 |
Lincoln NE |
22.4 |
51.2 |
77.8 |
53.5 |
28.37 |
Las Vegas NV |
47.0 |
66.0 |
91.2 |
68.7 |
4.49 |
Concord NH |
20.1 |
44.6 |
70.0 |
47.8 |
37.60 |
Newark NJ |
31.3 |
52.3 |
77.2 |
56.4 |
46.25 |
Albuquerque NM |
35.7 |
55.6 |
78.5 |
57.3 |
9.47 |
New York NY2 |
31.8 |
50.1 |
74.8 |
56.5 |
42.46 |
Charlotte NC |
41.7 |
60.9 |
80.3 |
61.7 |
43.51 |
Fargo ND |
6.8 |
43.5 |
70.6 |
45.3 |
21.19 |
Cleveland OH |
25.7 |
47.6 |
71.9 |
52.2 |
38.71 |
Tulsa OK |
36.4 |
60.8 |
83.5 |
62.6 |
42.42 |
Portland OR |
39.9 |
51.2 |
68.1 |
54.3 |
37.07 |
Philadelphia PA |
32.3 |
53.1 |
77.6 |
57.2 |
42.05 |
Providence RI |
28.7 |
48.6 |
73.3 |
53.0 |
46.45 |
Charleston SC |
47.9 |
64.2 |
81.7 |
66.2 |
51.53 |
Rapid City SD |
22.4 |
44.7 |
71.7 |
48.2 |
16.64 |
Memphis TN |
39.9 |
62.1 |
82.5 |
63.8 |
54.65 |
Dallas TX3 |
44.1 |
65.0 |
85.0 |
67.2 |
34.73 |
Salt Lake City UT |
29.2 |
50.0 |
77.0 |
52.5 |
16.50 |
Burlington VT |
18.0 |
43.5 |
70.6 |
47.7 |
36.05 |
Richmond VA |
36.4 |
57.1 |
77.9 |
58.3 |
43.91 |
Seattle WA |
40.9 |
50.2 |
65.3 |
52.7 |
37.07 |
Charleston WV |
33.4 |
54.3 |
73.9 |
55.1 |
44.05 |
Milwaukee WI |
20.7 |
45.2 |
72.0 |
51.4 |
34.81 |
Casper WY |
22.3 |
42.7 |
70.0 |
45.7 |
13.03 |
The oldest detected meteorite impact on Earth occurred 3.47 billion years ago. The meteor left geochemical evidence of its impact in southern Africa and Australia and is thought to have been about 20 km (12 mi) wide. It would have taken less than two seconds to pass through the atmosphere and slam into the surface of the planet, causing immense tsunamis and devastating erosion to the ocean floor and small continents.
Indexes
Wind Chill Index
The wind chill index is based upon a formula that determines how cold the atmosphere feels by combining the temperature and wind speed and applying other factors.
TEMPERATURE (°F)
CALM |
40 |
35 |
30 |
25 |
20 |
15 |
10 |
5 |
0 |
-5 |
-10 |
-15 |
-20 |
-25 |
-30 |
5 |
36 |
31 |
25 |
19 |
13 |
7 |
1 |
-5 |
-11 |
-16 |
-22 |
-28 |
-34 |
-40 |
-46 |
10 |
34 |
27 |
21 |
15 |
9 |
3 |
-4 |
-10 |
-16 |
-22 |
-28 |
-35 |
-41 |
-47 |
-53 |
15 |
32 |
25 |
19 |
13 |
6 |
0 |
-7 |
-13 |
-19 |
-26 |
-32 |
-39 |
-45 |
-51 |
-58 |
20 |
30 |
24 |
17 |
11 |
4 |
-2 |
-9 |
-15 |
-22 |
-29 |
-35 |
-42 |
-48 |
-55 |
-61 |
WIND 25 |
29 |
23 |
16 |
9 |
3 |
-4 |
-11 |
-17 |
-24 |
-31 |
-37 |
-44 |
-51 |
-58 |
-64 |
SPEED 30 |
28 |
22 |
15 |
8 |
1 |
-5 |
-12 |
-19 |
-26 |
-33 |
-39 |
-46 |
-53 |
-60 |
-67 |
(MPH) 35 |
28 |
21 |
14 |
7 |
0 |
-7 |
-14 |
-21 |
-27 |
-34 |
-41 |
-48 |
-55 |
-62 |
-69 |
(MPH) 40 |
27 |
20 |
13 |
6 |
-1 |
-8 |
-15 |
-22 |
-29 |
-36 |
-43 |
-50 |
-57 |
-64 |
-71 |
45 |
26 |
19 |
12 |
5 |
-2 |
-9 |
-16 |
-23 |
-30 |
-37 |
-44 |
-51 |
-58 |
-65 |
-72 |
50 |
26 |
19 |
12 |
4 |
-3 |
-10 |
-17 |
-24 |
-31 |
-38 |
-45 |
-52 |
-60 |
-67 |
-74 |
55 |
25 |
18 |
11 |
4 |
-3 |
-11 |
-18 |
-25 |
-32 |
-39 |
-46 |
-54 |
-61 |
-69 |
-75 |
60 |
25 |
17 |
10 |
3 |
-4 |
-11 |
-19 |
-26 |
-33 |
-40 |
-48 |
-55 |
-62 |
-69 |
-76 |
Heat Index
The Heat Index shows the effects of the combination of heat and humidity. Apparent temperature is the temperature as it feels to your body.
AIR TEMPERATURE (°F)
relative |
70 |
75 |
80 |
85 |
90 |
95 |
100 |
105 |
110 |
115 |
120 |
humidity |
|
|
|
|
apparent temperature |
|
|
|
|
||
0% |
64 |
69 |
73 |
78 |
83 |
87 |
91 |
95 |
99 |
103 |
107 |
10% |
65 |
70 |
75 |
80 |
85 |
90 |
95 |
100 |
105 |
111 |
116 |
20% |
66 |
72 |
77 |
82 |
87 |
93 |
99 |
105 |
112 |
120 |
130 |
30% |
67 |
73 |
78 |
84 |
90 |
96 |
104 |
113 |
123 |
135 |
148 |
40% |
68 |
74 |
79 |
86 |
93 |
101 |
110 |
123 |
137 |
151 |
|
50% |
69 |
75 |
81 |
88 |
96 |
107 |
120 |
135 |
150 |
|
|
60% |
70 |
76 |
82 |
90 |
100 |
114 |
132 |
149 |
|
|
|
70% |
70 |
77 |
85 |
93 |
106 |
124 |
144 |
|
|
|
|
80% |
71 |
78 |
86 |
97 |
113 |
136 |
157 |
|
|
|
|
90% |
71 |
79 |
88 |
102 |
122 |
150 |
170 |
|
|
|
|
100% |
72 |
80 |
91 |
108 |
133 |
166 |
|
|
|
|
|
HEAT INDEX/HEAT DISORDERS |
|
Heat Index |
Possible heat disorders for people in higher risk groups* |
130°F or higher |
Heatstroke/sunstroke highly likely with continued exposure. |
105°-130°F |
Sunstroke, heat cramps, or heat exhaustion likely, and heatstroke possible with prolonged exposure and/or physical activity. |
90°-105°F |
Sunstroke, heat cramps, and heat exhaustion possible with prolonged exposure and/or physical activity. |
80°-90°F |
Fatigue possible with prolonged exposure and/or physical activity. |
*Small children, the elderly, the chronically ill, those on certain medications or drugs (especially tranquilizers and anticholinergics), and persons with weight and alcohol problems are particularly susceptible to heat reactions, especially during heat waves in areas where moderate climate usually prevails.
Ultraviolet (UV) Index
The Ultraviolet (UV) Index predicts the intensity of the sun’s ultraviolet rays. It was developed by the National Weather Service and the uS Environmental Protection Agency to provide a daily forecast of the expected risk of overexposure to the sun. The Index is calculated on a next-day basis for dozens of cities across the US. Other local conditions, such as cloud cover, are taken into account in determining the UV Index number. UV Index numbers are: 0-2 (minimal exposure); 3-4 (lowexposure); 5-6 (moderate exposure); 7-9 (high exposure); and 10 and over (very high exposure).
Some simple precautions can be taken to reduce the risk ofsun-related illness: limit time in the sun between 10 am and 4 pm, when rays are generally the strongest; seek shade whenever possible; use a broad spectrum sunscreen with an SPF of at least 15; wear a wide-brimmed hat and, if possible, tightly woven, full-length clothing; wear UV-protective sunglasses; avoid sunlamps and tanning salons; and watch for the UV Index daily. The UV Index should not be used by seriously sun-sensitive individuals, who should consult their doctors and take additional precautions regardless of the exposure level.
Hurricanes
Hurricane and Tornado Classifications
The Saffir/Simpson Hurricane Scale1 is used to rank tropical cyclones in the North Atlantic Ocean and the eastern North Pacific.
Category 1. Barometric pressure: 28.91 in or more; wind speed: 74-95 mph; storm surge: 4-5 ft; damage: minimal. Category 2. Barometric pressure: 28.50-28.91 in; wind speed: 96-110 mph; storm surge: 6-8 ft; damage: moderate. Category 3. Barometric pressure: 27.91-28.47 in; wind speed:111-130 mph; storm surge: 9-12 ft; damage:extensive. Category 4. Barometric pressure: 27.17-27.88 in; wind speed:131-155 mph; storm surge: 13-18 ft; damage: extreme. Category 5. Barometric pressure: less than 27.17 in; wind speed: 155 mph or more; storm surge: 18 ft or more; damage:catastrophic.
Tornado intensity is commonly estimated after the fact by analyzing damaged structures and then correlating the damage with the wind speeds known to produce various degrees of damage. Tornadoes are assigned specific values on the Fujita Scale, or F-Scale, of tornado intensity established by meteorologist T. Theodore Fujita. Categories:
F0. Wind speed: 40-72 mph; damage:light. F1. Wind speed: 73-112 mph; damage:moderate. F2. Wind speed:113-157 mph; damage:consider-able.
F3. Wind speed: 158-206 mph; damage: severe. F4. Wind speed: 207-260 mph; damage:devastat-ing.
F5. Wind speed:261-318 mph; damage:incredible.
Hurricane Names
In 1953, the National Hurricane Center developed a list of given names for Atlantic tropical storms. This list is now maintained by the World Meteorological Organization (WMO). Until 1979 only women’s names were used, but since then men’s and women’s names have alternated. There are six listscurrently in rotation, so names can be reused every six years. Any country affected by a hurricane, however, can request its name be retired for ten years. Also, if a storm has been particularly destructive, the WMO can remove it from the list and replace it with a different name.
Deadliest Hurricanes in the US
Listed below, in order of number of deaths, are the 30 deadliest hurricanes to hit the US or its territories in 1851-2006. Hurricane names are given in parentheses after the location, when applicable. Note:ranking numbers 10 and 20 on the list are repeated due to the equal number of fatalities in separate hurricanes. Source: National Hurricane Center.
|
HURRICANE LOCATION |
YEAR |
CATEGORY |
DEATHS |
1 |
Galveston TX |
1900 |
4 |
8,0001 |
2 |
NC; SC; Puerto Rico |
1899 |
3 |
3,419 |
3 |
Lake Okeechobee, |
1928 |
4 |
2,5002 |
|
Florida |
|
|
|
4 |
Cheniere Caminada |
1893 |
4 |
2,0003 |
|
LA |
|
|
|
5 |
southeastern LA; MS; |
2005 |
3 |
1,500 |
|
FL (Katrina) |
|
|
|
6 |
Sea Islands, South |
1893 |
3 |
1,0004 |
|
Carolina and Georgia |
|
|
|
7 |
Puerto Rico; US Virgin |
1867 |
3 |
811 |
|
Islands |
|
|
|
8 |
Puerto Rico |
1852 |
1 |
800 |
9 |
GA; SC |
1881 |
2 |
700 |
10 |
Last Island, Louisiana |
1856 |
4 |
6003 |
|
New Orleans LA |
1915 |
4 |
6003 |
12 |
southwestern LA; |
1957 |
4 |
416 |
|
northern TX (Audrey) |
|
|
|
13 |
Florida Keys |
1935 |
5 |
408 |
14 |
northeastern US |
1944 |
3 |
3903 |
15 |
FL; MS; AL |
1926 |
4 |
372 |
|
HURRICANE LOCATION |
YEAR |
CATEGORY |
DEATHS |
16 |
Grand Isle LA |
1909 |
3 |
350 |
17 |
Puerto Rico (San Felipe) |
1928 |
5 |
312 |
18 |
southern TX; Florida Keys |
1919 |
4 |
287 |
19 |
Galveston TX |
1915 |
4 |
275 |
20 |
MS; southeastern LA; |
1969 |
5 |
256 |
|
VA (Camille) New England |
1938 |
3 |
256 |
22 |
US Virgin Islands; Puerto Rico |
1932 |
2 |
225 |
23 |
northeastern US (Diane) |
1955 |
1 |
184 |
24 |
GA; SC; NC |
1898 |
4 |
179 |
25 |
TX |
1875 |
3 |
176 |
26 |
southeastern FL |
1906 |
3 |
164 |
27 |
Indianola TX |
1886 |
4 |
150 |
28 |
FL; MS; AL |
1906 |
2 |
134 |
29 |
FL; GA; SC |
1896 |
3 |
130 |
30 |
FL; northeastern US (Agnes) |
1972 |
1 |
122 |
Listed below, in order of the highest monetary damage figures in constant 2006 US dollars, are the 30 deadliest hurricanes to hit the US or its territories in 1900-2006. Locations of the damaged areas are given in parentheses after the hurricane name. Note that figures for Hurricane Hugo reflect the damage done by that storm both on the US mainland and on its Caribbean territories.
|
|
|
|
ESTIMATED |
DAMAGE |
|
|
|
|
DAMAGE (US$), |
IN CONSTANT |
RANK |
HURRICANE (LOCATION) |
YEAR |
CATEGORY |
NOT ADJUSTED |
2006 US DOLLARS |
1 |
Katrina (LA; MS; FL) |
2005 |
3 |
81,000,000,000 |
84,645,000,000 |
2 |
Andrew (southeastern FL; |
1992 |
5 |
26,500,000,000 |
48,058,000,000 |
|
southeastern LA) |
|
|
|
|
3 |
Wilma (southern Fl) |
2005 |
3 |
20,600,000,000 |
21,527,000,000 |
4 |
Charley (southwestern FL) |
2004 |
4 |
15,000,000,000 |
16,322,000,000 |
5 |
Ivan (northwestern FL; AL) |
2004 |
3 |
14,200,000,000 |
15,541,000,000 |
6 |
Hugo (SC; US Virgin Islands; Puerto |
1989 |
4 |
8,000,000,000 |
14,982,000,000 |
|
Rico) |
|
|
|
|
7 |
Agnes (FL; northeastern US) |
1972 |
1 |
2,100,000,000 |
12,424,000,000 |
8 |
Betsy (southeastern FL; |
1965 |
3 |
1,420,500,000 |
11,883,000,000 |
|
southeastern LA) |
|
|
|
|
9 |
Rita (LA; TX; FL) |
2005 |
3 |
11,300,000,000 |
11,808,000,000 |
10 |
Camille (MS; southeastern LA; VA) |
1969 |
5 |
1,420,700,000 |
9,781,000,000 |
11 |
Frances (FL) |
2004 |
2 |
8,900,000,000 |
9,684,000,000 |
12 |
Diane (northeastern US) |
1955 |
1 |
831,700,000 |
7,700,000,000 |
13 |
Jeanne (southeastern FL) |
2004 |
3 |
6,900,000,000 |
7,508,000,000 |
14 |
Frederic (AL; MS) |
1979 |
3 |
2,300,000,000 |
6,922,000,000 |
15 |
(New England) |
1938 |
3 |
300,000,000 |
6,571,000,000 |
16 |
Allison (northern TX) |
2001 |
TS1 |
5,000,000,000 |
6,414,000,000 |
17 |
Floyd (mid-Atlantic US; |
1999 |
2 |
4,500,000,000 |
6,342,000,000 |
|
northeastern US) |
|
|
|
|
18 |
(northeastern US) |
1944 |
3 |
100,000,000 |
5,927,000,000 |
19 |
Fran (NC) |
1996 |
3 |
3,200,000,000 |
4,979,000,000 |
20 |
Alicia (northern TX) |
1983 |
3 |
2,000,000,000 |
4,825,000,000 |
21 |
Opal (northwestern FL; AL) |
1995 |
3 |
3,000,000,000 |
4,758,000,000 |
22 |
Carol (northeastern US) |
1954 |
3 |
460,000,000 |
4,345,000,000 |
23 |
Isabel (NC; VA) |
2003 |
2 |
3,370,000,000 |
3,985,000,000 |
24 |
Juan (LA) |
1985 |
1 |
1,500,000,000 |
3,417,000,000 |
25 |
Donna (FL; eastern US) |
1960 |
4 |
386,500,000 |
3,345,000,000 |
26 |
Celia (southern TX) |
1970 |
3 |
453,800,000 |
3,038,000,000 |
27 |
Bob (NC; northeastern US) |
1991 |
2 |
1,500,000,000 |
2,853,000,000 |
28 |
Elena (MS; AL; northwestern FL) |
1985 |
3 |
1,250,000,000 |
2,848,000,000 |
29 |
Carla (northern and central TX) |
1961 |
4 |
300,000,000 |
2,604,000,000 |
30 |
Iniki (Kauai, Hawaii) |
1992 |
3-4 |
1,800,000,000 |
2,563,000,000 |