ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
54 rows where "date" is on date 2021-12-25 and state = "North Dakota" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
fips 54
- 38001 1
- 38003 1
- 38005 1
- 38007 1
- 38009 1
- 38011 1
- 38013 1
- 38015 1
- 38017 1
- 38019 1
- 38021 1
- 38023 1
- 38025 1
- 38027 1
- 38029 1
- 38031 1
- 38033 1
- 38035 1
- 38037 1
- 38039 1
- 38041 1
- 38043 1
- 38045 1
- 38047 1
- 38049 1
- 38051 1
- 38053 1
- 38055 1
- 38057 1
- 38059 1
- 38061 1
- 38063 1
- 38065 1
- 38067 1
- 38069 1
- 38071 1
- 38073 1
- 38075 1
- 38077 1
- 38079 1
- 38081 1
- 38083 1
- 38085 1
- 38087 1
- 38089 1
- 38091 1
- 38093 1
- 38095 1
- 38097 1
- 38099 1
- 38101 1
- 38103 1
- 38105 1
- - 1
county 54
- Adams 1
- Barnes 1
- Benson 1
- Billings 1
- Bottineau 1
- Bowman 1
- Burke 1
- Burleigh 1
- Cass 1
- Cavalier 1
- Dickey 1
- Divide 1
- Dunn 1
- Eddy 1
- Emmons 1
- Foster 1
- Golden Valley 1
- Grand Forks 1
- Grant 1
- Griggs 1
- Hettinger 1
- Kidder 1
- LaMoure 1
- Logan 1
- McHenry 1
- McIntosh 1
- McKenzie 1
- McLean 1
- Mercer 1
- Morton 1
- Mountrail 1
- Nelson 1
- Oliver 1
- Pembina 1
- Pierce 1
- Ramsey 1
- Ransom 1
- Renville 1
- Richland 1
- Rolette 1
- Sargent 1
- Sheridan 1
- Sioux 1
- Slope 1
- Stark 1
- Steele 1
- Stutsman 1
- Towner 1
- Traill 1
- Unknown 1
- Walsh 1
- Ward 1
- Wells 1
- Williams 1
state 1
- North Dakota · 54 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2049368 | 2049368 | 2021-12-25 | Adams | North Dakota | 38001 | 468 | 8 |
2049369 | 2049369 | 2021-12-25 | Barnes | North Dakota | 38003 | 2196 | 40 |
2049370 | 2049370 | 2021-12-25 | Benson | North Dakota | 38005 | 1472 | 22 |
2049371 | 2049371 | 2021-12-25 | Billings | North Dakota | 38007 | 116 | 1 |
2049372 | 2049372 | 2021-12-25 | Bottineau | North Dakota | 38009 | 1178 | 24 |
2049373 | 2049373 | 2021-12-25 | Bowman | North Dakota | 38011 | 675 | 8 |
2049374 | 2049374 | 2021-12-25 | Burke | North Dakota | 38013 | 360 | 3 |
2049375 | 2049375 | 2021-12-25 | Burleigh | North Dakota | 38015 | 25131 | 279 |
2049376 | 2049376 | 2021-12-25 | Cass | North Dakota | 38017 | 38826 | 283 |
2049377 | 2049377 | 2021-12-25 | Cavalier | North Dakota | 38019 | 590 | 6 |
2049378 | 2049378 | 2021-12-25 | Dickey | North Dakota | 38021 | 1179 | 38 |
2049379 | 2049379 | 2021-12-25 | Divide | North Dakota | 38023 | 333 | 3 |
2049380 | 2049380 | 2021-12-25 | Dunn | North Dakota | 38025 | 863 | 7 |
2049381 | 2049381 | 2021-12-25 | Eddy | North Dakota | 38027 | 588 | 6 |
2049382 | 2049382 | 2021-12-25 | Emmons | North Dakota | 38029 | 608 | 16 |
2049383 | 2049383 | 2021-12-25 | Foster | North Dakota | 38031 | 726 | 19 |
2049384 | 2049384 | 2021-12-25 | Golden Valley | North Dakota | 38033 | 381 | 4 |
2049385 | 2049385 | 2021-12-25 | Grand Forks | North Dakota | 38035 | 14805 | 102 |
2049386 | 2049386 | 2021-12-25 | Grant | North Dakota | 38037 | 369 | 9 |
2049387 | 2049387 | 2021-12-25 | Griggs | North Dakota | 38039 | 454 | 2 |
2049388 | 2049388 | 2021-12-25 | Hettinger | North Dakota | 38041 | 557 | 7 |
2049389 | 2049389 | 2021-12-25 | Kidder | North Dakota | 38043 | 400 | 13 |
2049390 | 2049390 | 2021-12-25 | LaMoure | North Dakota | 38045 | 771 | 18 |
2049391 | 2049391 | 2021-12-25 | Logan | North Dakota | 38047 | 351 | 11 |
2049392 | 2049392 | 2021-12-25 | McHenry | North Dakota | 38049 | 1055 | 28 |
2049393 | 2049393 | 2021-12-25 | McIntosh | North Dakota | 38051 | 539 | 9 |
2049394 | 2049394 | 2021-12-25 | McKenzie | North Dakota | 38053 | 2647 | 23 |
2049395 | 2049395 | 2021-12-25 | McLean | North Dakota | 38055 | 2180 | 47 |
2049396 | 2049396 | 2021-12-25 | Mercer | North Dakota | 38057 | 1960 | 22 |
2049397 | 2049397 | 2021-12-25 | Morton | North Dakota | 38059 | 8427 | 130 |
2049398 | 2049398 | 2021-12-25 | Mountrail | North Dakota | 38061 | 2250 | 32 |
2049399 | 2049399 | 2021-12-25 | Nelson | North Dakota | 38063 | 617 | 16 |
2049400 | 2049400 | 2021-12-25 | Oliver | North Dakota | 38065 | 254 | 4 |
2049401 | 2049401 | 2021-12-25 | Pembina | North Dakota | 38067 | 1494 | 15 |
2049402 | 2049402 | 2021-12-25 | Pierce | North Dakota | 38069 | 844 | 29 |
2049403 | 2049403 | 2021-12-25 | Ramsey | North Dakota | 38071 | 2602 | 42 |
2049404 | 2049404 | 2021-12-25 | Ransom | North Dakota | 38073 | 1078 | 23 |
2049405 | 2049405 | 2021-12-25 | Renville | North Dakota | 38075 | 450 | 15 |
2049406 | 2049406 | 2021-12-25 | Richland | North Dakota | 38077 | 2992 | 21 |
2049407 | 2049407 | 2021-12-25 | Rolette | North Dakota | 38079 | 3542 | 36 |
2049408 | 2049408 | 2021-12-25 | Sargent | North Dakota | 38081 | 771 | 9 |
2049409 | 2049409 | 2021-12-25 | Sheridan | North Dakota | 38083 | 234 | 5 |
2049410 | 2049410 | 2021-12-25 | Sioux | North Dakota | 38085 | 979 | 18 |
2049411 | 2049411 | 2021-12-25 | Slope | North Dakota | 38087 | 55 | 0 |
2049412 | 2049412 | 2021-12-25 | Stark | North Dakota | 38089 | 9051 | 79 |
2049413 | 2049413 | 2021-12-25 | Steele | North Dakota | 38091 | 297 | 2 |
2049414 | 2049414 | 2021-12-25 | Stutsman | North Dakota | 38093 | 5113 | 92 |
2049415 | 2049415 | 2021-12-25 | Towner | North Dakota | 38095 | 471 | 11 |
2049416 | 2049416 | 2021-12-25 | Traill | North Dakota | 38097 | 1654 | 21 |
2049417 | 2049417 | 2021-12-25 | Unknown | North Dakota | 44 | 44 | |
2049418 | 2049418 | 2021-12-25 | Walsh | North Dakota | 38099 | 2567 | 33 |
2049419 | 2049419 | 2021-12-25 | Ward | North Dakota | 38101 | 15048 | 233 |
2049420 | 2049420 | 2021-12-25 | Wells | North Dakota | 38103 | 779 | 11 |
2049421 | 2049421 | 2021-12-25 | Williams | North Dakota | 38105 | 8013 | 61 |
Advanced export
JSON shape: default, array, newline-delimited
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);