03-03-2020

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Big Local News snapshots this data once a day from The Johns Hopkins University Center for Systems Science and Engineering. These are daily reports which provide cases, deaths and recovered for all global locations as wells as United States counties. There is one CSV file for each day's report. The entire set of CSV files are refreshed daily. The zipped archives contain previous daily reports and are date stamped when they were uplaoded by Big Local News. Please cite Johns Hopkins University as described in the README.

Data source: Big Local News · About: README

151 rows sorted by Country/Region descending

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Suggested facets: Deaths, Last Update (date)

Link rowid Province/State Country/Region ▲ Last Update Confirmed Deaths Recovered Latitude Longitude
57 57   Vietnam 2020-02-25T08:53:02 16 0 16 16.0 108.0
50 50   United Arab Emirates 2020-03-03T23:43:02 27 0 5 24.0 54.0
147 147   Ukraine 2020-03-03T15:33:02 1 0 0 48.3794 31.1656
44 44 Unassigned Location (From Diamond Princess) US 2020-03-02T19:53:03 45 0 0 35.4437 139.638
54 54 King County, WA US 2020-03-03T20:23:05 21 6 1 47.548 -121.9836
65 65 Santa Clara, CA US 2020-03-03T23:33:03 11 0 1 37.3541 -121.9552
76 76 Snohomish County, WA US 2020-03-03T20:23:05 6 1 0 48.033 -121.8339
82 82 Cook County, IL US 2020-03-02T20:33:02 4 0 2 41.7377 -87.6976
97 97 Fulton County, GA US 2020-03-03T03:33:02 2 0 0 33.8034 -84.3963
98 98 Grafton County, NH US 2020-03-03T23:33:03 2 0 0 43.9088 -71.826
99 99 Hillsborough, FL US 2020-03-03T18:33:02 2 0 0 27.9904 -82.3018
100 100 Providence, RI US 2020-03-02T03:43:02 2 0 0 41.824 -71.4128
101 101 Sacramento County, CA US 2020-02-27T20:33:02 2 0 0 38.4747 -121.3542
102 102 San Benito, CA US 2020-02-03T03:53:02 2 0 0 36.5761 -120.9876
103 103 San Diego County, CA US 2020-02-21T05:43:02 2 0 1 32.7157 -117.1611
104 104 San Mateo, CA US 2020-03-03T00:43:02 2 0 0 37.563 -122.3255
105 105 Washington County, OR US 2020-03-03T03:03:02 2 0 0 45.547 -123.1386
130 130 Norfolk County, MA US 2020-03-03T14:33:03 1 0 0 42.1767 -71.1449
131 131 Berkeley, CA US 2020-03-03T23:53:03 1 0 0 37.8715 -122.273
132 132 Boston, MA US 2020-02-28T21:13:12 1 0 1 42.3601 -71.0589
133 133 Humboldt County, CA US 2020-02-21T05:13:09 1 0 0 40.745 -123.8695
134 134 Los Angeles, CA US 2020-02-01T19:53:03 1 0 0 34.0522 -118.2437
135 135 Madison, WI US 2020-03-03T15:53:03 1 0 1 43.0731 -89.4012
136 136 Maricopa County, AZ US 2020-03-03T17:33:02 1 0 0 33.2918 -112.4291
137 137 New York City, NY US 2020-03-02T01:53:03 1 0 0 40.7128 -74.006
138 138 Orange, CA US 2020-02-01T19:53:03 1 0 0 33.7879 -117.8531
139 139 Placer County, CA US 2020-03-02T23:53:02 1 0 0 39.0916 -120.8039
140 140 San Antonio, TX US 2020-02-13T18:53:02 1 0 0 29.4241 -98.4936
141 141 Sarasota, FL US 2020-03-02T03:23:06 1 0 0 27.3364 -82.5307
142 142 Sonoma County, CA US 2020-03-02T20:53:02 1 0 0 38.578 -122.9888
143 143 Tempe, AZ US 2020-02-25T21:23:03 1 0 1 33.4255 -111.94
144 144 Umatilla, OR US 2020-03-02T20:23:16 1 0 0 45.775 -118.7606
145 145 Wake County, NC US 2020-03-03T20:53:02 1 0 0 35.8032 -78.5661
146 146 Westchester County, NY US 2020-03-03T14:43:03 1 0 0 41.122 -73.7949
149 149 Lackland, TX (From Diamond Princess) US 2020-02-24T23:33:02 0 0 0 29.3829 -98.6134
150 150 Omaha, NE (From Diamond Princess) US 2020-02-24T23:33:02 0 0 0 41.2545 -95.9758
151 151 Travis, CA (From Diamond Princess) US 2020-02-24T23:33:02 0 0 0 38.2721 -121.9399
42 42   UK 2020-03-03T15:13:26 51 0 8 55.0 -3.0
45 45   Thailand 2020-03-02T06:23:04 43 1 31 15.0 101.0
46 46 Taiwan Taiwan 2020-03-03T06:43:02 42 1 12 23.7 121.0
41 41   Switzerland 2020-03-03T16:43:02 56 0 2 46.8182 8.2275
53 53   Sweden 2020-03-03T15:13:26 21 0 0 63.0 16.0
129 129   Sri Lanka 2020-02-08T03:43:03 1 0 1 7.0 81.0
28 28   Spain 2020-03-03T23:53:03 165 1 2 40.0 -4.0
2 2   South Korea 2020-03-03T09:43:02 5186 28 30 36.0 128.0
33 33   Singapore 2020-03-03T15:23:03 110 0 78 1.2833 103.8333
96 96   Senegal 2020-03-03T23:53:03 2 0 0 14.4974 -14.4524
128 128   Saudi Arabia 2020-03-02T23:53:02 1 0 0 24.0 45.0
67 67   San Marino 2020-03-03T15:23:03 10 1 0 43.9424 12.4578
88 88   Russia 2020-03-02T21:23:04 3 0 2 60.0 90.0
87 87   Romania 2020-03-03T00:23:16 3 0 0 46.0 25.0
73 73   Qatar 2020-03-03T03:23:03 7 0 0 25.3548 51.1839
95 95   Portugal 2020-03-03T15:33:02 2 0 0 39.3999 -8.2245
86 86   Philippines 2020-02-12T07:43:02 3 1 1 13.0 122.0
81 81   Pakistan 2020-03-03T04:33:03 5 0 0 30.3753 69.3451
12 12 Diamond Princess cruise ship Others 2020-03-03T03:13:06 706 6 10 35.4437 139.638
62 62   Oman 2020-03-03T15:23:03 12 0 2 21.0 57.0
49 49   Norway 2020-03-03T14:33:03 32 0 0 60.472 8.4689
127 127   North Macedonia 2020-02-27T16:23:03 1 0 0 41.6086 21.7453
126 126   Nigeria 2020-02-28T16:23:03 1 0 0 9.082 8.6753
125 125   New Zealand 2020-02-28T16:23:03 1 0 0 -40.9006 174.886
51 51   Netherlands 2020-03-03T15:13:26 24 0 0 52.1326 5.2913
124 124   Nepal 2020-02-12T14:43:03 1 0 1 28.1667 84.25
123 123   Morocco 2020-03-03T15:33:02 1 0 0 31.7917 -7.0926
122 122   Monaco 2020-02-29T00:33:01 1 0 0 43.7333 7.4167
80 80   Mexico 2020-03-03T10:03:04 5 0 1 23.0 -102.0
47 47   Malaysia 2020-03-03T12:33:02 36 0 22 2.5 112.5
1 1 Hubei Mainland China 2020-03-03T11:43:02 67217 2835 36208 30.9756 112.2707
5 5 Guangdong Mainland China 2020-03-03T10:23:10 1350 7 1101 23.3417 113.4244
6 6 Henan Mainland China 2020-03-03T09:43:02 1272 22 1231 33.882 113.614
7 7 Zhejiang Mainland China 2020-03-03T12:33:02 1213 1 1093 29.1832 120.0934
8 8 Hunan Mainland China 2020-03-03T13:03:04 1018 4 906 27.6104 111.7088
9 9 Anhui Mainland China 2020-03-03T14:33:03 990 6 936 31.8257 117.2264
10 10 Jiangxi Mainland China 2020-03-03T02:03:11 935 1 870 27.614 115.7221
11 11 Shandong Mainland China 2020-03-03T07:53:03 758 6 511 36.3427 118.1498
13 13 Jiangsu Mainland China 2020-03-03T11:03:09 631 0 562 32.9711 119.455
14 14 Chongqing Mainland China 2020-03-03T23:13:05 576 6 490 30.0572 107.874
15 15 Sichuan Mainland China 2020-03-03T09:33:02 538 3 394 30.6171 102.7103
16 16 Heilongjiang Mainland China 2020-03-03T13:03:04 480 13 366 47.862 127.7615
17 17 Beijing Mainland China 2020-03-03T02:03:11 414 8 288 40.1824 116.4142
18 18 Shanghai Mainland China 2020-03-03T03:43:02 338 3 294 31.202 121.4491
19 19 Hebei Mainland China 2020-03-03T09:33:02 318 6 300 38.0428 114.5149
20 20 Fujian Mainland China 2020-03-03T13:43:03 296 1 260 26.0789 117.9874
22 22 Guangxi Mainland China 2020-03-03T00:23:14 252 2 202 23.8298 108.7881
23 23 Shaanxi Mainland China 2020-03-02T08:03:12 245 1 216 35.1917 108.8701
26 26 Yunnan Mainland China 2020-03-03T03:43:02 174 2 169 24.974 101.487
27 27 Hainan Mainland China 2020-03-03T23:43:02 168 5 155 19.1959 109.7453
29 29 Guizhou Mainland China 2020-03-02T01:13:06 146 2 114 26.8154 106.8748
30 30 Tianjin Mainland China 2020-03-03T11:43:02 136 3 124 39.3054 117.323
31 31 Shanxi Mainland China 2020-03-03T23:13:05 133 0 124 37.5777 112.2922
32 32 Liaoning Mainland China 2020-03-03T14:33:03 125 1 106 41.2956 122.6085
35 35 Jilin Mainland China 2020-03-02T15:03:23 93 1 83 43.6661 126.1923
36 36 Gansu Mainland China 2020-03-03T13:43:03 91 2 86 36.0611 103.8343
37 37 Xinjiang Mainland China 2020-03-03T07:33:03 76 3 68 41.1129 85.2401
38 38 Inner Mongolia Mainland China 2020-03-03T09:23:02 75 1 59 44.0935 113.9448
39 39 Ningxia Mainland China 2020-03-02T01:33:02 74 0 69 37.2692 106.1655
56 56 Qinghai Mainland China 2020-02-21T04:43:02 18 0 18 35.7452 95.9956
121 121 Tibet Mainland China 2020-02-12T06:43:02 1 0 1 31.6927 88.0924
66 66 Macau Macau 2020-03-03T12:33:02 10 0 9 22.1667 113.55
120 120   Luxembourg 2020-03-03T00:23:16 1 0 0 49.8144 6.1317

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CREATE TABLE [03-03-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] INTEGER,
   [Latitude] FLOAT,
   [Longitude] FLOAT
);