ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
72 rows where cases = 5052 sorted by date descending
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These facets timed out: county, fips
state 30
- Georgia 13
- Alabama 8
- Minnesota 5
- Missouri 4
- Illinois 3
- Kansas 3
- New York 3
- Ohio 3
- Texas 3
- Florida 2
- Iowa 2
- Kentucky 2
- Michigan 2
- Nebraska 2
- Pennsylvania 2
- Colorado 1
- Idaho 1
- Louisiana 1
- Maine 1
- Mississippi 1
- North Carolina 1
- North Dakota 1
- Oklahoma 1
- Puerto Rico 1
- South Dakota 1
- Utah 1
- Vermont 1
- Virginia 1
- Washington 1
- Wyoming 1
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2444695 | 2444695 | 2022-04-26 | McDuffie | Georgia | 13189 | 5052 | 97 |
2441439 | 2441439 | 2022-04-25 | McDuffie | Georgia | 13189 | 5052 | 97 |
2438183 | 2438183 | 2022-04-24 | McDuffie | Georgia | 13189 | 5052 | 97 |
2434927 | 2434927 | 2022-04-23 | McDuffie | Georgia | 13189 | 5052 | 97 |
2431671 | 2431671 | 2022-04-22 | McDuffie | Georgia | 13189 | 5052 | 97 |
2428415 | 2428415 | 2022-04-21 | McDuffie | Georgia | 13189 | 5052 | 97 |
2430960 | 2430960 | 2022-04-21 | Prince Edward | Virginia | 51147 | 5052 | 70 |
2425159 | 2425159 | 2022-04-20 | McDuffie | Georgia | 13189 | 5052 | 97 |
2421903 | 2421903 | 2022-04-19 | McDuffie | Georgia | 13189 | 5052 | 96 |
2418647 | 2418647 | 2022-04-18 | McDuffie | Georgia | 13189 | 5052 | 96 |
2403775 | 2403775 | 2022-04-13 | Schoharie | New York | 36095 | 5052 | 36 |
2398632 | 2398632 | 2022-04-12 | Butler | Alabama | 1013 | 5052 | 129 |
2395377 | 2395377 | 2022-04-11 | Butler | Alabama | 1013 | 5052 | 129 |
2392121 | 2392121 | 2022-04-10 | Butler | Alabama | 1013 | 5052 | 129 |
2388865 | 2388865 | 2022-04-09 | Butler | Alabama | 1013 | 5052 | 129 |
2385610 | 2385610 | 2022-04-08 | Butler | Alabama | 1013 | 5052 | 129 |
2382355 | 2382355 | 2022-04-07 | Butler | Alabama | 1013 | 5052 | 129 |
2379100 | 2379100 | 2022-04-06 | Butler | Alabama | 1013 | 5052 | 129 |
2233699 | 2233699 | 2022-02-20 | Neosho | Kansas | 20133 | 5052 | 62 |
2230448 | 2230448 | 2022-02-19 | Neosho | Kansas | 20133 | 5052 | 62 |
2227197 | 2227197 | 2022-02-18 | Neosho | Kansas | 20133 | 5052 | 62 |
2170089 | 2170089 | 2022-01-31 | San Lorenzo | Puerto Rico | 72129 | 5052 | |
2167190 | 2167190 | 2022-01-30 | Karnes | Texas | 48255 | 5052 | 60 |
2155729 | 2155729 | 2022-01-27 | Johnson | Kentucky | 21115 | 5052 | 83 |
2147838 | 2147838 | 2022-01-24 | Windham | Vermont | 50025 | 5052 | 33 |
2125850 | 2125850 | 2022-01-18 | Harris | Georgia | 13145 | 5052 | 96 |
2106379 | 2106379 | 2022-01-12 | Peach | Georgia | 13225 | 5052 | 115 |
1983690 | 1983690 | 2021-12-05 | Cass | Minnesota | 27021 | 5052 | 55 |
1980440 | 1980440 | 2021-12-04 | Cass | Minnesota | 27021 | 5052 | 55 |
1977190 | 1977190 | 2021-12-03 | Cass | Minnesota | 27021 | 5052 | 55 |
1966588 | 1966588 | 2021-11-30 | Madison | Georgia | 13195 | 5052 | 80 |
1961721 | 1961721 | 2021-11-28 | Morrow | Ohio | 39117 | 5052 | 64 |
1947784 | 1947784 | 2021-11-24 | Aroostook | Maine | 23003 | 5052 | 88 |
1928462 | 1928462 | 2021-11-18 | Lyon | Minnesota | 27083 | 5052 | 61 |
1925179 | 1925179 | 2021-11-17 | Carlton | Minnesota | 27017 | 5052 | 70 |
1876534 | 1876534 | 2021-11-02 | George | Mississippi | 28039 | 5052 | 79 |
1786841 | 1786841 | 2021-10-05 | Grimes | Texas | 48185 | 5052 | 98 |
1782601 | 1782601 | 2021-10-04 | Lincoln | Nebraska | 31111 | 5052 | 80 |
1766189 | 1766189 | 2021-09-29 | Marion | Missouri | 29127 | 5052 | 58 |
1706161 | 1706161 | 2021-09-11 | Chambers | Alabama | 1017 | 5052 | 127 |
1631995 | 1631995 | 2021-08-19 | Bingham | Idaho | 16011 | 5052 | 78 |
1625580 | 1625580 | 2021-08-17 | Jefferson | Illinois | 17081 | 5052 | 126 |
1600532 | 1600532 | 2021-08-09 | Phelps | Missouri | 29161 | 5052 | 145 |
1594049 | 1594049 | 2021-08-07 | Scott | Missouri | 29201 | 5052 | 89 |
1359719 | 1359719 | 2021-05-27 | Boyd | Kentucky | 21019 | 5052 | 75 |
1335519 | 1335519 | 2021-05-19 | Medina | Texas | 48325 | 5052 | 104 |
1283884 | 1283884 | 2021-05-03 | Walla Walla | Washington | 53071 | 5052 | 64 |
1201640 | 1201640 | 2021-04-08 | Morton | North Dakota | 38059 | 5052 | 98 |
1170360 | 1170360 | 2021-03-29 | Fremont | Wyoming | 56013 | 5052 | 82 |
1132058 | 1132058 | 2021-03-18 | Knox | Illinois | 17095 | 5052 | 164 |
1128974 | 1128974 | 2021-03-17 | Cerro Gordo | Iowa | 19033 | 5052 | 85 |
1115634 | 1115634 | 2021-03-13 | Habersham | Georgia | 13137 | 5052 | 145 |
1097778 | 1097778 | 2021-03-07 | Darke | Ohio | 39037 | 5052 | 116 |
1094530 | 1094530 | 2021-03-06 | Darke | Ohio | 39037 | 5052 | 116 |
1095350 | 1095350 | 2021-03-06 | Summit | Utah | 49043 | 5052 | 10 |
1080731 | 1080731 | 2021-03-02 | Clinton | Michigan | 26037 | 5052 | 70 |
1058935 | 1058935 | 2021-02-23 | Kay | Oklahoma | 40071 | 5052 | 75 |
1054671 | 1054671 | 2021-02-22 | St. Charles | Louisiana | 22089 | 5052 | 88 |
1039218 | 1039218 | 2021-02-17 | Granville | North Carolina | 37077 | 5052 | 75 |
1021663 | 1021663 | 2021-02-12 | Coles | Illinois | 17029 | 5052 | 91 |
1023513 | 1023513 | 2021-02-12 | Brown | South Dakota | 46013 | 5052 | 80 |
1013163 | 1013163 | 2021-02-09 | Cayuga | New York | 36011 | 5052 | 84 |
905476 | 905476 | 2021-01-07 | Eaton | Michigan | 26045 | 5052 | 102 |
784482 | 784482 | 2020-12-01 | Hernando | Florida | 12053 | 5052 | 221 |
777973 | 777973 | 2020-11-29 | Charlotte | Florida | 12015 | 5052 | 194 |
663147 | 663147 | 2020-10-24 | Luzerne | Pennsylvania | 42079 | 5052 | 196 |
649745 | 649745 | 2020-10-20 | Onondaga | New York | 36067 | 5052 | 182 |
639876 | 639876 | 2020-10-17 | Sarpy | Nebraska | 31153 | 5052 | 36 |
632439 | 632439 | 2020-10-15 | Black Hawk | Iowa | 19013 | 5052 | 96 |
521753 | 521753 | 2020-09-11 | Jefferson | Colorado | 8059 | 5052 | 244 |
451961 | 451961 | 2020-08-20 | St. Charles | Missouri | 29183 | 5052 | 105 |
349688 | 349688 | 2020-07-19 | Lancaster | Pennsylvania | 42071 | 5052 | 392 |
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CREATE TABLE [ny_times_us_counties] ( [date] TEXT, [county] TEXT, [state] TEXT, [fips] INTEGER, [cases] INTEGER, [deaths] INTEGER ); CREATE INDEX [idx_ny_times_us_counties_state] ON [ny_times_us_counties] ([state]); CREATE INDEX [idx_ny_times_us_counties_county] ON [ny_times_us_counties] ([county]); CREATE INDEX [idx_ny_times_us_counties_fips] ON [ny_times_us_counties] ([fips]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);