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 2021-05-22 and state = "North Dakota" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
1344481 | 1344481 | 2021-05-22 | Adams | North Dakota | 38001 | 270 | 3 |
1344482 | 1344482 | 2021-05-22 | Barnes | North Dakota | 38003 | 1415 | 31 |
1344483 | 1344483 | 2021-05-22 | Benson | North Dakota | 38005 | 1098 | 19 |
1344484 | 1344484 | 2021-05-22 | Billings | North Dakota | 38007 | 54 | 0 |
1344485 | 1344485 | 2021-05-22 | Bottineau | North Dakota | 38009 | 718 | 20 |
1344486 | 1344486 | 2021-05-22 | Bowman | North Dakota | 38011 | 403 | 5 |
1344487 | 1344487 | 2021-05-22 | Burke | North Dakota | 38013 | 246 | 2 |
1344488 | 1344488 | 2021-05-22 | Burleigh | North Dakota | 38015 | 15851 | 192 |
1344489 | 1344489 | 2021-05-22 | Cass | North Dakota | 38017 | 24622 | 209 |
1344490 | 1344490 | 2021-05-22 | Cavalier | North Dakota | 38019 | 432 | 5 |
1344491 | 1344491 | 2021-05-22 | Dickey | North Dakota | 38021 | 798 | 33 |
1344492 | 1344492 | 2021-05-22 | Divide | North Dakota | 38023 | 184 | 2 |
1344493 | 1344493 | 2021-05-22 | Dunn | North Dakota | 38025 | 384 | 7 |
1344494 | 1344494 | 2021-05-22 | Eddy | North Dakota | 38027 | 469 | 6 |
1344495 | 1344495 | 2021-05-22 | Emmons | North Dakota | 38029 | 431 | 13 |
1344496 | 1344496 | 2021-05-22 | Foster | North Dakota | 38031 | 600 | 19 |
1344497 | 1344497 | 2021-05-22 | Golden Valley | North Dakota | 38033 | 259 | 3 |
1344498 | 1344498 | 2021-05-22 | Grand Forks | North Dakota | 38035 | 10660 | 77 |
1344499 | 1344499 | 2021-05-22 | Grant | North Dakota | 38037 | 211 | 7 |
1344500 | 1344500 | 2021-05-22 | Griggs | North Dakota | 38039 | 329 | 2 |
1344501 | 1344501 | 2021-05-22 | Hettinger | North Dakota | 38041 | 328 | 4 |
1344502 | 1344502 | 2021-05-22 | Kidder | North Dakota | 38043 | 271 | 10 |
1344503 | 1344503 | 2021-05-22 | LaMoure | North Dakota | 38045 | 536 | 17 |
1344504 | 1344504 | 2021-05-22 | Logan | North Dakota | 38047 | 265 | 10 |
1344505 | 1344505 | 2021-05-22 | McHenry | North Dakota | 38049 | 646 | 23 |
1344506 | 1344506 | 2021-05-22 | McIntosh | North Dakota | 38051 | 347 | 7 |
1344507 | 1344507 | 2021-05-22 | McKenzie | North Dakota | 38053 | 1388 | 13 |
1344508 | 1344508 | 2021-05-22 | McLean | North Dakota | 38055 | 1283 | 30 |
1344509 | 1344509 | 2021-05-22 | Mercer | North Dakota | 38057 | 1139 | 10 |
1344510 | 1344510 | 2021-05-22 | Morton | North Dakota | 38059 | 5295 | 100 |
1344511 | 1344511 | 2021-05-22 | Mountrail | North Dakota | 38061 | 1355 | 17 |
1344512 | 1344512 | 2021-05-22 | Nelson | North Dakota | 38063 | 479 | 15 |
1344513 | 1344513 | 2021-05-22 | Oliver | North Dakota | 38065 | 157 | 3 |
1344514 | 1344514 | 2021-05-22 | Pembina | North Dakota | 38067 | 815 | 11 |
1344515 | 1344515 | 2021-05-22 | Pierce | North Dakota | 38069 | 548 | 25 |
1344516 | 1344516 | 2021-05-22 | Ramsey | North Dakota | 38071 | 1724 | 30 |
1344517 | 1344517 | 2021-05-22 | Ransom | North Dakota | 38073 | 697 | 17 |
1344518 | 1344518 | 2021-05-22 | Renville | North Dakota | 38075 | 321 | 14 |
1344519 | 1344519 | 2021-05-22 | Richland | North Dakota | 38077 | 2021 | 17 |
1344520 | 1344520 | 2021-05-22 | Rolette | North Dakota | 38079 | 2153 | 28 |
1344521 | 1344521 | 2021-05-22 | Sargent | North Dakota | 38081 | 499 | 7 |
1344522 | 1344522 | 2021-05-22 | Sheridan | North Dakota | 38083 | 122 | 2 |
1344523 | 1344523 | 2021-05-22 | Sioux | North Dakota | 38085 | 664 | 12 |
1344524 | 1344524 | 2021-05-22 | Slope | North Dakota | 38087 | 32 | 0 |
1344525 | 1344525 | 2021-05-22 | Stark | North Dakota | 38089 | 4874 | 51 |
1344526 | 1344526 | 2021-05-22 | Steele | North Dakota | 38091 | 183 | 2 |
1344527 | 1344527 | 2021-05-22 | Stutsman | North Dakota | 38093 | 3529 | 81 |
1344528 | 1344528 | 2021-05-22 | Towner | North Dakota | 38095 | 325 | 11 |
1344529 | 1344529 | 2021-05-22 | Traill | North Dakota | 38097 | 1047 | 18 |
1344530 | 1344530 | 2021-05-22 | Unknown | North Dakota | 30 | 30 | |
1344531 | 1344531 | 2021-05-22 | Walsh | North Dakota | 38099 | 1909 | 26 |
1344532 | 1344532 | 2021-05-22 | Ward | North Dakota | 38101 | 9826 | 194 |
1344533 | 1344533 | 2021-05-22 | Wells | North Dakota | 38103 | 457 | 8 |
1344534 | 1344534 | 2021-05-22 | Williams | North Dakota | 38105 | 4908 | 39 |
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);