Sen. Rick Scott Releases Daily Update on Coronavirus Growth Rate by State and Florida County
March 31, 2020
WASHINGTON, D.C. – Today, Senator Rick Scott released an update on the growth rate of cases of the Coronavirus by state, and by county in Florida, as of March 31, 2020, according to Johns Hopkins Center for Systems Science and Engineering and Florida Department of Health data. Senator Scott is releasing this information daily to show which states are slowing the growth of Coronavirus. Please note: data provided from Johns Hopkins is compiled from federal data and may have discrepancies from latest state updates.
Please see the charts below of Confirmed Cases by US State and by Florida County, as of March 31, 2020.
|
Confirmed COVID-19 Cases |
|||||
|
State |
3/23/20 |
3/30/20 |
Rolling 7-Day Growth Rate in Confirmed Cases (3/23-3/30) |
Rank by Growth Rate (Highest=1st) |
Change from Previous Ranking |
|
West Virginia |
16 |
145 |
806% |
1 |
– |
|
Massachusetts |
777 |
5752 |
640% |
2 |
?2 |
|
Indiana |
270 |
1786 |
561% |
3 |
?2 |
|
Connecticut |
415 |
2571 |
520% |
4 |
?1 |
|
Pennsylvania |
698 |
4155 |
495% |
5 |
?2 |
|
Oklahoma |
81 |
481 |
494% |
6 |
?3 |
|
New Jersey |
2844 |
16636 |
485% |
7 |
?1 |
|
Missouri |
187 |
1051 |
462% |
8 |
?6 |
|
Puerto Rico |
31 |
174 |
461% |
9 |
?3 |
|
Montana |
34 |
171 |
403% |
10 |
?7 |
|
Idaho |
68 |
340 |
400% |
11 |
?3 |
|
Arizona |
235 |
1157 |
392% |
12 |
?2 |
|
Michigan |
1329 |
6498 |
389% |
13 |
– |
|
Maryland |
290 |
1413 |
387% |
14 |
?2 |
|
Alabama |
196 |
899 |
359% |
15 |
?4 |
|
Florida |
1227 |
5473 |
346% |
16 |
?1 |
|
Kansas |
84 |
372 |
343% |
17 |
?3 |
|
Ohio |
443 |
1933 |
336% |
18 |
?4 |
|
Texas |
758 |
3147 |
315% |
19 |
?5 |
|
Nevada |
245 |
1012 |
313% |
20 |
?1 |
|
Iowa |
105 |
424 |
304% |
21 |
?15 |
|
Virginia |
254 |
1020 |
302% |
22 |
?9 |
|
Illinois |
1285 |
5056 |
293% |
23 |
?4 |
|
Kentucky |
123 |
479 |
289% |
24 |
?1 |
|
Delaware |
68 |
264 |
288% |
25 |
?7 |
|
Rhode Island |
106 |
408 |
285% |
26 |
?16 |
|
Alaska |
30 |
114 |
280% |
27 |
?8 |
|
North Carolina |
353 |
1313 |
272% |
28 |
?6 |
|
Georgia |
772 |
2808 |
264% |
29 |
?3 |
|
North Dakota |
30 |
109 |
263% |
30 |
?11 |
|
Wyoming |
26 |
94 |
262% |
31 |
?7 |
|
South Dakota |
28 |
101 |
261% |
32 |
?4 |
|
Louisiana |
1172 |
4025 |
243% |
33 |
?4 |
|
Vermont |
75 |
256 |
241% |
34 |
?11 |
|
Mississippi |
249 |
847 |
240% |
35 |
?2 |
|
California |
2108 |
7138 |
239% |
36 |
?3 |
|
District of Columbia |
120 |
401 |
234% |
37 |
?7 |
|
Colorado |
704 |
2311 |
228% |
38 |
?18 |
|
New York |
20884 |
66663 |
219% |
39 |
?4 |
|
Oregon |
191 |
606 |
217% |
40 |
?3 |
|
Utah |
257 |
804 |
213% |
41 |
?9 |
|
Hawaii |
56 |
175 |
213% |
42 |
?4 |
|
Tennessee |
614 |
1917 |
212% |
43 |
?1 |
|
New Hampshire |
101 |
314 |
211% |
44 |
?1 |
|
South Carolina |
298 |
925 |
210% |
45 |
?12 |
|
Wisconsin |
425 |
1230 |
189% |
46 |
?1 |
|
New Mexico |
83 |
237 |
186% |
47 |
?17 |
|
Nebraska |
51 |
145 |
184% |
48 |
?4 |
|
Maine |
107 |
275 |
157% |
49 |
– |
|
Arkansas |
192 |
473 |
146% |
50 |
– |
|
Minnesota |
234 |
576 |
146% |
51 |
?3 |
|
Washington |
2221 |
4923 |
122% |
52 |
?1 |
Source: Johns Hopkins Center for Systems Science and Engineering.
Confirmed Cases by US State, as of March 31, 2020.
|
Confirmed COVID-19 Cases |
|||
|
County |
3/24/2020 |
3/31/2020 |
Rolling 7-Day Growth Rate in Confirmed Cases (3/24-3/31) |
|
Alachua |
37 |
85 |
130% |
|
Baker |
4 |
9 |
125% |
|
Bay |
1 |
7 |
600% |
|
Bradford |
1 |
2 |
100% |
|
Brevard |
9 |
34 |
278% |
|
Broward |
312 |
1209 |
288% |
|
Calhoun |
0 |
0 |
– |
|
Charlotte |
3 |
23 |
667% |
|
Citrus |
9 |
19 |
111% |
|
Clay |
10 |
37 |
270% |
|
Collier |
41 |
142 |
246% |
|
Columbia |
3 |
3 |
0% |
|
Dade |
367 |
1926 |
425% |
|
Desoto |
1 |
7 |
600% |
|
Dixie |
0 |
0 |
– |
|
Duval |
50 |
198 |
296% |
|
Escambia |
13 |
88 |
577% |
|
Flagler |
4 |
17 |
325% |
|
Franklin |
0 |
0 |
– |
|
Gadsden |
1 |
1 |
0% |
|
Gilchrist |
0 |
0 |
– |
|
Glades |
0 |
3 |
300% |
|
Gulf |
0 |
0 |
– |
|
Hamilton |
0 |
0 |
– |
|
Hardee |
0 |
0 |
– |
|
Hendry |
0 |
4 |
400% |
|
Hernando |
7 |
23 |
229% |
|
Highlands |
4 |
15 |
275% |
|
Hillsborough |
95 |
291 |
206% |
|
Holmes |
0 |
1 |
100% |
|
Indian River |
12 |
30 |
150% |
|
Jackson |
1 |
2 |
100% |
|
Jefferson |
0 |
0 |
– |
|
Lafayette |
0 |
0 |
– |
|
Lake |
14 |
59 |
321% |
|
Lee |
34 |
185 |
444% |
|
Leon |
8 |
25 |
213% |
|
Levy |
0 |
2 |
200% |
|
Liberty |
0 |
0 |
– |
|
Madison |
0 |
0 |
– |
|
Manatee |
16 |
48 |
200% |
|
Marion |
4 |
25 |
525% |
|
Martin |
4 |
28 |
600% |
|
Monroe |
3 |
26 |
767% |
|
Nassau |
1 |
9 |
800% |
|
Okaloosa |
14 |
38 |
171% |
|
Okeechobee |
0 |
0 |
– |
|
Orange |
52 |
363 |
598% |
|
Osceola |
26 |
107 |
312% |
|
Palm Beach |
104 |
514 |
394% |
|
Pasco |
16 |
41 |
156% |
|
Pinellas |
45 |
144 |
220% |
|
Polk |
13 |
73 |
462% |
|
Putnam |
2 |
13 |
550% |
|
Santa Rosa |
6 |
39 |
550% |
|
Sarasota |
26 |
71 |
173% |
|
Seminole |
25 |
99 |
296% |
|
St. Johns |
24 |
73 |
204% |
|
St. Lucie |
6 |
33 |
450% |
|
Sumter |
10 |
49 |
390% |
|
Suwannee |
0 |
3 |
300% |
|
Taylor |
0 |
0 |
– |
|
Union |
0 |
0 |
– |
|
Volusia |
19 |
75 |
295% |
|
Wakulla |
0 |
1 |
100% |
|
Walton |
10 |
16 |
60% |
|
Washington |
0 |
1 |
100% |
Source: Florida Department of Health, Division of Disease Control and Health Protection
Florida's COVID-19 Data and Surveillance Dashboard
Florida Department of Health, Data as of March 31, 2020 (11am release)
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