ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
4,155 rows where deaths = 4 and state = "Nebraska" sorted by date descending
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Suggested facets: date (date)
fips >30
county >30
- Sherman 535
- Boone 436
- Dundy 360
- Pawnee 351
- Grant 304
- Brown 299
- Franklin 184
- Custer 173
- Furnas 122
- Gage 122
- Thurston 118
- Cherry 117
- Webster 93
- Thayer 91
- Colfax 90
- Howard 78
- Gosper 76
- Kearney 65
- Madison 55
- Hitchcock 53
- Saunders 34
- Boyd 28
- Clay 28
- Garfield 28
- Valley 27
- Kimball 22
- Antelope 21
- Dixon 21
- Lincoln 20
- Cass 17
- …
state 1
- Nebraska · 4,155 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2501257 | 2501257 | 2022-05-13 | Brown | Nebraska | 31017 | 515 | 4 |
2501315 | 2501315 | 2022-05-13 | Pawnee | Nebraska | 31133 | 415 | 4 |
2501330 | 2501330 | 2022-05-13 | Sherman | Nebraska | 31163 | 581 | 4 |
2497999 | 2497999 | 2022-05-12 | Brown | Nebraska | 31017 | 512 | 4 |
2498057 | 2498057 | 2022-05-12 | Pawnee | Nebraska | 31133 | 415 | 4 |
2498072 | 2498072 | 2022-05-12 | Sherman | Nebraska | 31163 | 581 | 4 |
2494741 | 2494741 | 2022-05-11 | Brown | Nebraska | 31017 | 512 | 4 |
2494799 | 2494799 | 2022-05-11 | Pawnee | Nebraska | 31133 | 415 | 4 |
2494814 | 2494814 | 2022-05-11 | Sherman | Nebraska | 31163 | 581 | 4 |
2491483 | 2491483 | 2022-05-10 | Brown | Nebraska | 31017 | 523 | 4 |
2491541 | 2491541 | 2022-05-10 | Pawnee | Nebraska | 31133 | 421 | 4 |
2491556 | 2491556 | 2022-05-10 | Sherman | Nebraska | 31163 | 582 | 4 |
2488225 | 2488225 | 2022-05-09 | Brown | Nebraska | 31017 | 523 | 4 |
2488283 | 2488283 | 2022-05-09 | Pawnee | Nebraska | 31133 | 421 | 4 |
2488298 | 2488298 | 2022-05-09 | Sherman | Nebraska | 31163 | 582 | 4 |
2484968 | 2484968 | 2022-05-08 | Brown | Nebraska | 31017 | 523 | 4 |
2485026 | 2485026 | 2022-05-08 | Pawnee | Nebraska | 31133 | 422 | 4 |
2485041 | 2485041 | 2022-05-08 | Sherman | Nebraska | 31163 | 583 | 4 |
2481710 | 2481710 | 2022-05-07 | Brown | Nebraska | 31017 | 523 | 4 |
2481768 | 2481768 | 2022-05-07 | Pawnee | Nebraska | 31133 | 422 | 4 |
2481783 | 2481783 | 2022-05-07 | Sherman | Nebraska | 31163 | 583 | 4 |
2478452 | 2478452 | 2022-05-06 | Brown | Nebraska | 31017 | 523 | 4 |
2478510 | 2478510 | 2022-05-06 | Pawnee | Nebraska | 31133 | 422 | 4 |
2478525 | 2478525 | 2022-05-06 | Sherman | Nebraska | 31163 | 583 | 4 |
2475194 | 2475194 | 2022-05-05 | Brown | Nebraska | 31017 | 523 | 4 |
2475252 | 2475252 | 2022-05-05 | Pawnee | Nebraska | 31133 | 422 | 4 |
2475267 | 2475267 | 2022-05-05 | Sherman | Nebraska | 31163 | 583 | 4 |
2471937 | 2471937 | 2022-05-04 | Brown | Nebraska | 31017 | 523 | 4 |
2471995 | 2471995 | 2022-05-04 | Pawnee | Nebraska | 31133 | 422 | 4 |
2472010 | 2472010 | 2022-05-04 | Sherman | Nebraska | 31163 | 583 | 4 |
2468681 | 2468681 | 2022-05-03 | Brown | Nebraska | 31017 | 523 | 4 |
2468739 | 2468739 | 2022-05-03 | Pawnee | Nebraska | 31133 | 422 | 4 |
2468754 | 2468754 | 2022-05-03 | Sherman | Nebraska | 31163 | 583 | 4 |
2465425 | 2465425 | 2022-05-02 | Brown | Nebraska | 31017 | 523 | 4 |
2465483 | 2465483 | 2022-05-02 | Pawnee | Nebraska | 31133 | 421 | 4 |
2465498 | 2465498 | 2022-05-02 | Sherman | Nebraska | 31163 | 584 | 4 |
2462170 | 2462170 | 2022-05-01 | Brown | Nebraska | 31017 | 523 | 4 |
2462228 | 2462228 | 2022-05-01 | Pawnee | Nebraska | 31133 | 421 | 4 |
2462243 | 2462243 | 2022-05-01 | Sherman | Nebraska | 31163 | 582 | 4 |
2458914 | 2458914 | 2022-04-30 | Brown | Nebraska | 31017 | 523 | 4 |
2458972 | 2458972 | 2022-04-30 | Pawnee | Nebraska | 31133 | 421 | 4 |
2458987 | 2458987 | 2022-04-30 | Sherman | Nebraska | 31163 | 582 | 4 |
2455658 | 2455658 | 2022-04-29 | Brown | Nebraska | 31017 | 523 | 4 |
2455716 | 2455716 | 2022-04-29 | Pawnee | Nebraska | 31133 | 421 | 4 |
2455731 | 2455731 | 2022-04-29 | Sherman | Nebraska | 31163 | 582 | 4 |
2452402 | 2452402 | 2022-04-28 | Brown | Nebraska | 31017 | 523 | 4 |
2452460 | 2452460 | 2022-04-28 | Pawnee | Nebraska | 31133 | 421 | 4 |
2452475 | 2452475 | 2022-04-28 | Sherman | Nebraska | 31163 | 585 | 4 |
2449146 | 2449146 | 2022-04-27 | Brown | Nebraska | 31017 | 523 | 4 |
2449204 | 2449204 | 2022-04-27 | Pawnee | Nebraska | 31133 | 421 | 4 |
2449219 | 2449219 | 2022-04-27 | Sherman | Nebraska | 31163 | 585 | 4 |
2445889 | 2445889 | 2022-04-26 | Brown | Nebraska | 31017 | 523 | 4 |
2445947 | 2445947 | 2022-04-26 | Pawnee | Nebraska | 31133 | 421 | 4 |
2445962 | 2445962 | 2022-04-26 | Sherman | Nebraska | 31163 | 584 | 4 |
2442634 | 2442634 | 2022-04-25 | Brown | Nebraska | 31017 | 522 | 4 |
2442692 | 2442692 | 2022-04-25 | Pawnee | Nebraska | 31133 | 420 | 4 |
2442707 | 2442707 | 2022-04-25 | Sherman | Nebraska | 31163 | 580 | 4 |
2439378 | 2439378 | 2022-04-24 | Brown | Nebraska | 31017 | 522 | 4 |
2439436 | 2439436 | 2022-04-24 | Pawnee | Nebraska | 31133 | 420 | 4 |
2439451 | 2439451 | 2022-04-24 | Sherman | Nebraska | 31163 | 586 | 4 |
2436122 | 2436122 | 2022-04-23 | Brown | Nebraska | 31017 | 522 | 4 |
2436180 | 2436180 | 2022-04-23 | Pawnee | Nebraska | 31133 | 420 | 4 |
2436195 | 2436195 | 2022-04-23 | Sherman | Nebraska | 31163 | 586 | 4 |
2432866 | 2432866 | 2022-04-22 | Brown | Nebraska | 31017 | 522 | 4 |
2432924 | 2432924 | 2022-04-22 | Pawnee | Nebraska | 31133 | 420 | 4 |
2432939 | 2432939 | 2022-04-22 | Sherman | Nebraska | 31163 | 586 | 4 |
2429610 | 2429610 | 2022-04-21 | Brown | Nebraska | 31017 | 508 | 4 |
2429668 | 2429668 | 2022-04-21 | Pawnee | Nebraska | 31133 | 415 | 4 |
2429683 | 2429683 | 2022-04-21 | Sherman | Nebraska | 31163 | 586 | 4 |
2426354 | 2426354 | 2022-04-20 | Brown | Nebraska | 31017 | 508 | 4 |
2426412 | 2426412 | 2022-04-20 | Pawnee | Nebraska | 31133 | 415 | 4 |
2426427 | 2426427 | 2022-04-20 | Sherman | Nebraska | 31163 | 586 | 4 |
2423098 | 2423098 | 2022-04-19 | Brown | Nebraska | 31017 | 508 | 4 |
2423156 | 2423156 | 2022-04-19 | Pawnee | Nebraska | 31133 | 415 | 4 |
2423171 | 2423171 | 2022-04-19 | Sherman | Nebraska | 31163 | 586 | 4 |
2419841 | 2419841 | 2022-04-18 | Brown | Nebraska | 31017 | 508 | 4 |
2419899 | 2419899 | 2022-04-18 | Pawnee | Nebraska | 31133 | 415 | 4 |
2419914 | 2419914 | 2022-04-18 | Sherman | Nebraska | 31163 | 586 | 4 |
2416586 | 2416586 | 2022-04-17 | Brown | Nebraska | 31017 | 508 | 4 |
2416644 | 2416644 | 2022-04-17 | Pawnee | Nebraska | 31133 | 415 | 4 |
2416659 | 2416659 | 2022-04-17 | Sherman | Nebraska | 31163 | 586 | 4 |
2413330 | 2413330 | 2022-04-16 | Brown | Nebraska | 31017 | 508 | 4 |
2413388 | 2413388 | 2022-04-16 | Pawnee | Nebraska | 31133 | 415 | 4 |
2413403 | 2413403 | 2022-04-16 | Sherman | Nebraska | 31163 | 586 | 4 |
2410074 | 2410074 | 2022-04-15 | Brown | Nebraska | 31017 | 508 | 4 |
2410132 | 2410132 | 2022-04-15 | Pawnee | Nebraska | 31133 | 415 | 4 |
2410147 | 2410147 | 2022-04-15 | Sherman | Nebraska | 31163 | 586 | 4 |
2406818 | 2406818 | 2022-04-14 | Brown | Nebraska | 31017 | 508 | 4 |
2406876 | 2406876 | 2022-04-14 | Pawnee | Nebraska | 31133 | 415 | 4 |
2406891 | 2406891 | 2022-04-14 | Sherman | Nebraska | 31163 | 586 | 4 |
2403562 | 2403562 | 2022-04-13 | Brown | Nebraska | 31017 | 508 | 4 |
2403620 | 2403620 | 2022-04-13 | Pawnee | Nebraska | 31133 | 415 | 4 |
2403635 | 2403635 | 2022-04-13 | Sherman | Nebraska | 31163 | 586 | 4 |
2400304 | 2400304 | 2022-04-12 | Boone | Nebraska | 31011 | 1094 | 4 |
2400307 | 2400307 | 2022-04-12 | Brown | Nebraska | 31017 | 508 | 4 |
2400365 | 2400365 | 2022-04-12 | Pawnee | Nebraska | 31133 | 412 | 4 |
2400380 | 2400380 | 2022-04-12 | Sherman | Nebraska | 31163 | 586 | 4 |
2397049 | 2397049 | 2022-04-11 | Boone | Nebraska | 31011 | 1093 | 4 |
2397052 | 2397052 | 2022-04-11 | Brown | Nebraska | 31017 | 508 | 4 |
2397110 | 2397110 | 2022-04-11 | Pawnee | Nebraska | 31133 | 412 | 4 |
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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);