ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
1,481 rows where deaths = 6 and state = "Nebraska" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
county >30
- Chase 155
- Dundy 127
- Furnas 117
- Antelope 112
- Valley 102
- Cherry 92
- Saline 82
- Kearney 81
- Jefferson 78
- Hitchcock 57
- Scotts Bluff 50
- Madison 47
- Wayne 46
- Franklin 38
- Boyd 37
- Keith 34
- Webster 29
- Howard 26
- Buffalo 22
- Fillmore 20
- Dixon 19
- Red Willow 12
- Kimball 10
- Otoe 9
- Phelps 7
- Saunders 7
- Dodge 6
- Gage 5
- Gosper 5
- Sheridan 5
- …
state 1
- Nebraska · 1,481 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2501277 | 2501277 | 2022-05-13 | Dundy | Nebraska | 31057 | 335 | 6 |
2501337 | 2501337 | 2022-05-13 | Valley | Nebraska | 31175 | 731 | 6 |
2498019 | 2498019 | 2022-05-12 | Dundy | Nebraska | 31057 | 335 | 6 |
2498079 | 2498079 | 2022-05-12 | Valley | Nebraska | 31175 | 730 | 6 |
2494761 | 2494761 | 2022-05-11 | Dundy | Nebraska | 31057 | 335 | 6 |
2494821 | 2494821 | 2022-05-11 | Valley | Nebraska | 31175 | 730 | 6 |
2491503 | 2491503 | 2022-05-10 | Dundy | Nebraska | 31057 | 344 | 6 |
2491563 | 2491563 | 2022-05-10 | Valley | Nebraska | 31175 | 753 | 6 |
2488245 | 2488245 | 2022-05-09 | Dundy | Nebraska | 31057 | 344 | 6 |
2488305 | 2488305 | 2022-05-09 | Valley | Nebraska | 31175 | 753 | 6 |
2484988 | 2484988 | 2022-05-08 | Dundy | Nebraska | 31057 | 344 | 6 |
2485048 | 2485048 | 2022-05-08 | Valley | Nebraska | 31175 | 753 | 6 |
2481730 | 2481730 | 2022-05-07 | Dundy | Nebraska | 31057 | 344 | 6 |
2481790 | 2481790 | 2022-05-07 | Valley | Nebraska | 31175 | 753 | 6 |
2478472 | 2478472 | 2022-05-06 | Dundy | Nebraska | 31057 | 344 | 6 |
2478532 | 2478532 | 2022-05-06 | Valley | Nebraska | 31175 | 753 | 6 |
2475214 | 2475214 | 2022-05-05 | Dundy | Nebraska | 31057 | 344 | 6 |
2475274 | 2475274 | 2022-05-05 | Valley | Nebraska | 31175 | 753 | 6 |
2471957 | 2471957 | 2022-05-04 | Dundy | Nebraska | 31057 | 344 | 6 |
2472017 | 2472017 | 2022-05-04 | Valley | Nebraska | 31175 | 749 | 6 |
2468701 | 2468701 | 2022-05-03 | Dundy | Nebraska | 31057 | 348 | 6 |
2468761 | 2468761 | 2022-05-03 | Valley | Nebraska | 31175 | 754 | 6 |
2465445 | 2465445 | 2022-05-02 | Dundy | Nebraska | 31057 | 348 | 6 |
2465505 | 2465505 | 2022-05-02 | Valley | Nebraska | 31175 | 754 | 6 |
2462190 | 2462190 | 2022-05-01 | Dundy | Nebraska | 31057 | 348 | 6 |
2462250 | 2462250 | 2022-05-01 | Valley | Nebraska | 31175 | 754 | 6 |
2458934 | 2458934 | 2022-04-30 | Dundy | Nebraska | 31057 | 348 | 6 |
2458994 | 2458994 | 2022-04-30 | Valley | Nebraska | 31175 | 754 | 6 |
2455678 | 2455678 | 2022-04-29 | Dundy | Nebraska | 31057 | 348 | 6 |
2455738 | 2455738 | 2022-04-29 | Valley | Nebraska | 31175 | 754 | 6 |
2452422 | 2452422 | 2022-04-28 | Dundy | Nebraska | 31057 | 348 | 6 |
2452482 | 2452482 | 2022-04-28 | Valley | Nebraska | 31175 | 754 | 6 |
2449166 | 2449166 | 2022-04-27 | Dundy | Nebraska | 31057 | 348 | 6 |
2449226 | 2449226 | 2022-04-27 | Valley | Nebraska | 31175 | 754 | 6 |
2445909 | 2445909 | 2022-04-26 | Dundy | Nebraska | 31057 | 348 | 6 |
2445969 | 2445969 | 2022-04-26 | Valley | Nebraska | 31175 | 754 | 6 |
2442654 | 2442654 | 2022-04-25 | Dundy | Nebraska | 31057 | 348 | 6 |
2442714 | 2442714 | 2022-04-25 | Valley | Nebraska | 31175 | 754 | 6 |
2439398 | 2439398 | 2022-04-24 | Dundy | Nebraska | 31057 | 348 | 6 |
2439458 | 2439458 | 2022-04-24 | Valley | Nebraska | 31175 | 754 | 6 |
2436142 | 2436142 | 2022-04-23 | Dundy | Nebraska | 31057 | 348 | 6 |
2436202 | 2436202 | 2022-04-23 | Valley | Nebraska | 31175 | 754 | 6 |
2432886 | 2432886 | 2022-04-22 | Dundy | Nebraska | 31057 | 348 | 6 |
2432946 | 2432946 | 2022-04-22 | Valley | Nebraska | 31175 | 754 | 6 |
2429630 | 2429630 | 2022-04-21 | Dundy | Nebraska | 31057 | 348 | 6 |
2429690 | 2429690 | 2022-04-21 | Valley | Nebraska | 31175 | 754 | 6 |
2426374 | 2426374 | 2022-04-20 | Dundy | Nebraska | 31057 | 348 | 6 |
2426434 | 2426434 | 2022-04-20 | Valley | Nebraska | 31175 | 754 | 6 |
2423118 | 2423118 | 2022-04-19 | Dundy | Nebraska | 31057 | 348 | 6 |
2423178 | 2423178 | 2022-04-19 | Valley | Nebraska | 31175 | 754 | 6 |
2419861 | 2419861 | 2022-04-18 | Dundy | Nebraska | 31057 | 348 | 6 |
2419921 | 2419921 | 2022-04-18 | Valley | Nebraska | 31175 | 753 | 6 |
2416606 | 2416606 | 2022-04-17 | Dundy | Nebraska | 31057 | 348 | 6 |
2416666 | 2416666 | 2022-04-17 | Valley | Nebraska | 31175 | 753 | 6 |
2413350 | 2413350 | 2022-04-16 | Dundy | Nebraska | 31057 | 348 | 6 |
2413410 | 2413410 | 2022-04-16 | Valley | Nebraska | 31175 | 753 | 6 |
2410094 | 2410094 | 2022-04-15 | Dundy | Nebraska | 31057 | 348 | 6 |
2410154 | 2410154 | 2022-04-15 | Valley | Nebraska | 31175 | 753 | 6 |
2406838 | 2406838 | 2022-04-14 | Dundy | Nebraska | 31057 | 348 | 6 |
2406898 | 2406898 | 2022-04-14 | Valley | Nebraska | 31175 | 753 | 6 |
2403582 | 2403582 | 2022-04-13 | Dundy | Nebraska | 31057 | 348 | 6 |
2403642 | 2403642 | 2022-04-13 | Valley | Nebraska | 31175 | 753 | 6 |
2400313 | 2400313 | 2022-04-12 | Chase | Nebraska | 31029 | 743 | 6 |
2400327 | 2400327 | 2022-04-12 | Dundy | Nebraska | 31057 | 349 | 6 |
2400331 | 2400331 | 2022-04-12 | Furnas | Nebraska | 31065 | 1121 | 6 |
2400346 | 2400346 | 2022-04-12 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2400387 | 2400387 | 2022-04-12 | Valley | Nebraska | 31175 | 753 | 6 |
2397058 | 2397058 | 2022-04-11 | Chase | Nebraska | 31029 | 743 | 6 |
2397072 | 2397072 | 2022-04-11 | Dundy | Nebraska | 31057 | 349 | 6 |
2397076 | 2397076 | 2022-04-11 | Furnas | Nebraska | 31065 | 1121 | 6 |
2397091 | 2397091 | 2022-04-11 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2397132 | 2397132 | 2022-04-11 | Valley | Nebraska | 31175 | 753 | 6 |
2393803 | 2393803 | 2022-04-10 | Chase | Nebraska | 31029 | 743 | 6 |
2393817 | 2393817 | 2022-04-10 | Dundy | Nebraska | 31057 | 349 | 6 |
2393821 | 2393821 | 2022-04-10 | Furnas | Nebraska | 31065 | 1121 | 6 |
2393836 | 2393836 | 2022-04-10 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2393877 | 2393877 | 2022-04-10 | Valley | Nebraska | 31175 | 753 | 6 |
2390547 | 2390547 | 2022-04-09 | Chase | Nebraska | 31029 | 743 | 6 |
2390561 | 2390561 | 2022-04-09 | Dundy | Nebraska | 31057 | 349 | 6 |
2390565 | 2390565 | 2022-04-09 | Furnas | Nebraska | 31065 | 1121 | 6 |
2390580 | 2390580 | 2022-04-09 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2390621 | 2390621 | 2022-04-09 | Valley | Nebraska | 31175 | 753 | 6 |
2387291 | 2387291 | 2022-04-08 | Chase | Nebraska | 31029 | 743 | 6 |
2387305 | 2387305 | 2022-04-08 | Dundy | Nebraska | 31057 | 349 | 6 |
2387309 | 2387309 | 2022-04-08 | Furnas | Nebraska | 31065 | 1121 | 6 |
2387324 | 2387324 | 2022-04-08 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2387365 | 2387365 | 2022-04-08 | Valley | Nebraska | 31175 | 753 | 6 |
2384036 | 2384036 | 2022-04-07 | Chase | Nebraska | 31029 | 743 | 6 |
2384050 | 2384050 | 2022-04-07 | Dundy | Nebraska | 31057 | 349 | 6 |
2384054 | 2384054 | 2022-04-07 | Furnas | Nebraska | 31065 | 1121 | 6 |
2384069 | 2384069 | 2022-04-07 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2384110 | 2384110 | 2022-04-07 | Valley | Nebraska | 31175 | 753 | 6 |
2380781 | 2380781 | 2022-04-06 | Chase | Nebraska | 31029 | 743 | 6 |
2380795 | 2380795 | 2022-04-06 | Dundy | Nebraska | 31057 | 349 | 6 |
2380799 | 2380799 | 2022-04-06 | Furnas | Nebraska | 31065 | 1121 | 6 |
2380814 | 2380814 | 2022-04-06 | Jefferson | Nebraska | 31095 | 1209 | 6 |
2380855 | 2380855 | 2022-04-06 | Valley | Nebraska | 31175 | 753 | 6 |
2377526 | 2377526 | 2022-04-05 | Chase | Nebraska | 31029 | 743 | 6 |
2377540 | 2377540 | 2022-04-05 | Dundy | Nebraska | 31057 | 349 | 6 |
2377544 | 2377544 | 2022-04-05 | Furnas | Nebraska | 31065 | 1121 | 6 |
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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);