ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
735 rows where deaths = 297 sorted by date descending
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These facets timed out: county, fips
state 40
- North Carolina 68
- Texas 61
- Ohio 54
- New York 38
- Maryland 36
- Georgia 33
- California 31
- Alabama 27
- Michigan 27
- New Jersey 27
- Pennsylvania 27
- South Carolina 26
- Connecticut 23
- Virginia 22
- Missouri 21
- Tennessee 21
- Illinois 19
- Mississippi 18
- Florida 15
- Wisconsin 15
- Kentucky 14
- Indiana 12
- Louisiana 11
- Oregon 10
- Colorado 9
- Massachusetts 9
- New Mexico 7
- Utah 7
- Minnesota 6
- Arizona 5
- Arkansas 5
- Delaware 5
- Guam 5
- New Hampshire 5
- Washington 5
- Iowa 4
- West Virginia 4
- Montana 1
- Nebraska 1
- North Dakota 1
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2500586 | 2500586 | 2022-05-13 | Boone | Kentucky | 21015 | 40084 | 297 |
2497328 | 2497328 | 2022-05-12 | Boone | Kentucky | 21015 | 39942 | 297 |
2494070 | 2494070 | 2022-05-11 | Boone | Kentucky | 21015 | 39942 | 297 |
2490812 | 2490812 | 2022-05-10 | Boone | Kentucky | 21015 | 39942 | 297 |
2487555 | 2487555 | 2022-05-09 | Boone | Kentucky | 21015 | 39942 | 297 |
2474123 | 2474123 | 2022-05-05 | Champaign | Illinois | 17019 | 66004 | 297 |
2449603 | 2449603 | 2022-04-27 | Ross | Ohio | 39141 | 19281 | 297 |
2446346 | 2446346 | 2022-04-26 | Ross | Ohio | 39141 | 19281 | 297 |
2443091 | 2443091 | 2022-04-25 | Ross | Ohio | 39141 | 19281 | 297 |
2439835 | 2439835 | 2022-04-24 | Ross | Ohio | 39141 | 19281 | 297 |
2436579 | 2436579 | 2022-04-23 | Ross | Ohio | 39141 | 19281 | 297 |
2433323 | 2433323 | 2022-04-22 | Ross | Ohio | 39141 | 19281 | 297 |
2430067 | 2430067 | 2022-04-21 | Ross | Ohio | 39141 | 19281 | 297 |
2417954 | 2417954 | 2022-04-17 | Spotsylvania | Virginia | 51177 | 26955 | 297 |
2414698 | 2414698 | 2022-04-16 | Spotsylvania | Virginia | 51177 | 26955 | 297 |
2410193 | 2410193 | 2022-04-15 | Cape May | New Jersey | 34009 | 21972 | 297 |
2411442 | 2411442 | 2022-04-15 | Spotsylvania | Virginia | 51177 | 26955 | 297 |
2406937 | 2406937 | 2022-04-14 | Cape May | New Jersey | 34009 | 21972 | 297 |
2408186 | 2408186 | 2022-04-14 | Spotsylvania | Virginia | 51177 | 26923 | 297 |
2403681 | 2403681 | 2022-04-13 | Cape May | New Jersey | 34009 | 21952 | 297 |
2399012 | 2399012 | 2022-04-12 | Unknown | Florida | 7220 | 297 | |
2399103 | 2399103 | 2022-04-12 | Laurens | Georgia | 13175 | 13764 | 297 |
2400426 | 2400426 | 2022-04-12 | Cape May | New Jersey | 34009 | 21932 | 297 |
2400519 | 2400519 | 2022-04-12 | Schenectady | New York | 36093 | 33168 | 297 |
2395848 | 2395848 | 2022-04-11 | Laurens | Georgia | 13175 | 13763 | 297 |
2397171 | 2397171 | 2022-04-11 | Cape May | New Jersey | 34009 | 21916 | 297 |
2397264 | 2397264 | 2022-04-11 | Schenectady | New York | 36093 | 33143 | 297 |
2398423 | 2398423 | 2022-04-11 | Suffolk city | Virginia | 51800 | 18699 | 297 |
2392592 | 2392592 | 2022-04-10 | Laurens | Georgia | 13175 | 13765 | 297 |
2393916 | 2393916 | 2022-04-10 | Cape May | New Jersey | 34009 | 21901 | 297 |
2394009 | 2394009 | 2022-04-10 | Schenectady | New York | 36093 | 33118 | 297 |
2395168 | 2395168 | 2022-04-10 | Suffolk city | Virginia | 51800 | 18688 | 297 |
2389336 | 2389336 | 2022-04-09 | Laurens | Georgia | 13175 | 13765 | 297 |
2390660 | 2390660 | 2022-04-09 | Cape May | New Jersey | 34009 | 21882 | 297 |
2390753 | 2390753 | 2022-04-09 | Schenectady | New York | 36093 | 33093 | 297 |
2391912 | 2391912 | 2022-04-09 | Suffolk city | Virginia | 51800 | 18688 | 297 |
2386081 | 2386081 | 2022-04-08 | Laurens | Georgia | 13175 | 13765 | 297 |
2387404 | 2387404 | 2022-04-08 | Cape May | New Jersey | 34009 | 21869 | 297 |
2387497 | 2387497 | 2022-04-08 | Schenectady | New York | 36093 | 33050 | 297 |
2388656 | 2388656 | 2022-04-08 | Suffolk city | Virginia | 51800 | 18688 | 297 |
2384149 | 2384149 | 2022-04-07 | Cape May | New Jersey | 34009 | 21857 | 297 |
2384242 | 2384242 | 2022-04-07 | Schenectady | New York | 36093 | 33002 | 297 |
2380894 | 2380894 | 2022-04-06 | Cape May | New Jersey | 34009 | 21845 | 297 |
2380987 | 2380987 | 2022-04-06 | Schenectady | New York | 36093 | 32966 | 297 |
2377639 | 2377639 | 2022-04-05 | Cape May | New Jersey | 34009 | 21829 | 297 |
2377732 | 2377732 | 2022-04-05 | Schenectady | New York | 36093 | 32938 | 297 |
2374386 | 2374386 | 2022-04-04 | Cape May | New Jersey | 34009 | 21821 | 297 |
2374479 | 2374479 | 2022-04-04 | Schenectady | New York | 36093 | 32923 | 297 |
2371134 | 2371134 | 2022-04-03 | Cape May | New Jersey | 34009 | 21820 | 297 |
2371227 | 2371227 | 2022-04-03 | Schenectady | New York | 36093 | 32913 | 297 |
2367881 | 2367881 | 2022-04-02 | Cape May | New Jersey | 34009 | 21816 | 297 |
2367974 | 2367974 | 2022-04-02 | Schenectady | New York | 36093 | 32899 | 297 |
2364628 | 2364628 | 2022-04-01 | Cape May | New Jersey | 34009 | 21805 | 297 |
2364721 | 2364721 | 2022-04-01 | Schenectady | New York | 36093 | 32876 | 297 |
2360301 | 2360301 | 2022-03-31 | Floyd | Indiana | 18043 | 18896 | 297 |
2361374 | 2361374 | 2022-03-31 | Cape May | New Jersey | 34009 | 21800 | 297 |
2361467 | 2361467 | 2022-03-31 | Schenectady | New York | 36093 | 32846 | 297 |
2361547 | 2361547 | 2022-03-31 | Nash | North Carolina | 37127 | 26699 | 297 |
2357047 | 2357047 | 2022-03-30 | Floyd | Indiana | 18043 | 18896 | 297 |
2358120 | 2358120 | 2022-03-30 | Cape May | New Jersey | 34009 | 21792 | 297 |
2358213 | 2358213 | 2022-03-30 | Schenectady | New York | 36093 | 32811 | 297 |
2358293 | 2358293 | 2022-03-30 | Nash | North Carolina | 37127 | 26714 | 297 |
2358394 | 2358394 | 2022-03-30 | Belmont | Ohio | 39013 | 15620 | 297 |
2353794 | 2353794 | 2022-03-29 | Floyd | Indiana | 18043 | 18913 | 297 |
2354959 | 2354959 | 2022-03-29 | Schenectady | New York | 36093 | 32790 | 297 |
2355140 | 2355140 | 2022-03-29 | Belmont | Ohio | 39013 | 15620 | 297 |
2355929 | 2355929 | 2022-03-29 | Val Verde | Texas | 48465 | 14294 | 297 |
2351614 | 2351614 | 2022-03-28 | Cape May | New Jersey | 34009 | 21778 | 297 |
2351706 | 2351706 | 2022-03-28 | Schenectady | New York | 36093 | 32777 | 297 |
2351887 | 2351887 | 2022-03-28 | Belmont | Ohio | 39013 | 15620 | 297 |
2352676 | 2352676 | 2022-03-28 | Val Verde | Texas | 48465 | 14293 | 297 |
2348019 | 2348019 | 2022-03-27 | Lee | Mississippi | 28081 | 26612 | 297 |
2348362 | 2348362 | 2022-03-27 | Cape May | New Jersey | 34009 | 21780 | 297 |
2348418 | 2348418 | 2022-03-27 | Chautauqua | New York | 36013 | 23505 | 297 |
2348454 | 2348454 | 2022-03-27 | Schenectady | New York | 36093 | 32755 | 297 |
2348534 | 2348534 | 2022-03-27 | Nash | North Carolina | 37127 | 26758 | 297 |
2348635 | 2348635 | 2022-03-27 | Belmont | Ohio | 39013 | 15620 | 297 |
2349424 | 2349424 | 2022-03-27 | Val Verde | Texas | 48465 | 14293 | 297 |
2344766 | 2344766 | 2022-03-26 | Lee | Mississippi | 28081 | 26612 | 297 |
2345165 | 2345165 | 2022-03-26 | Chautauqua | New York | 36013 | 23499 | 297 |
2345201 | 2345201 | 2022-03-26 | Schenectady | New York | 36093 | 32730 | 297 |
2345281 | 2345281 | 2022-03-26 | Nash | North Carolina | 37127 | 26758 | 297 |
2345382 | 2345382 | 2022-03-26 | Belmont | Ohio | 39013 | 15620 | 297 |
2346171 | 2346171 | 2022-03-26 | Val Verde | Texas | 48465 | 14293 | 297 |
2341513 | 2341513 | 2022-03-25 | Lee | Mississippi | 28081 | 26612 | 297 |
2341948 | 2341948 | 2022-03-25 | Schenectady | New York | 36093 | 32705 | 297 |
2342028 | 2342028 | 2022-03-25 | Nash | North Carolina | 37127 | 26758 | 297 |
2342129 | 2342129 | 2022-03-25 | Belmont | Ohio | 39013 | 15620 | 297 |
2337121 | 2337121 | 2022-03-24 | Windham | Connecticut | 9015 | 25543 | 297 |
2338260 | 2338260 | 2022-03-24 | Lee | Mississippi | 28081 | 26612 | 297 |
2338695 | 2338695 | 2022-03-24 | Schenectady | New York | 36093 | 32683 | 297 |
2338775 | 2338775 | 2022-03-24 | Nash | North Carolina | 37127 | 26769 | 297 |
2338876 | 2338876 | 2022-03-24 | Belmont | Ohio | 39013 | 15620 | 297 |
2333867 | 2333867 | 2022-03-23 | Windham | Connecticut | 9015 | 25535 | 297 |
2335006 | 2335006 | 2022-03-23 | Lee | Mississippi | 28081 | 26612 | 297 |
2335441 | 2335441 | 2022-03-23 | Schenectady | New York | 36093 | 32661 | 297 |
2335521 | 2335521 | 2022-03-23 | Nash | North Carolina | 37127 | 26795 | 297 |
2330613 | 2330613 | 2022-03-22 | Windham | Connecticut | 9015 | 25520 | 297 |
2331752 | 2331752 | 2022-03-22 | Lee | Mississippi | 28081 | 26612 | 297 |
2332187 | 2332187 | 2022-03-22 | Schenectady | New York | 36093 | 32616 | 297 |
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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);