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 2021-09-28 and state = "North Dakota" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
1763384 | 1763384 | 2021-09-28 | Adams | North Dakota | 38001 | 333 | 4 |
1763385 | 1763385 | 2021-09-28 | Barnes | North Dakota | 38003 | 1614 | 32 |
1763386 | 1763386 | 2021-09-28 | Benson | North Dakota | 38005 | 1225 | 20 |
1763387 | 1763387 | 2021-09-28 | Billings | North Dakota | 38007 | 71 | 0 |
1763388 | 1763388 | 2021-09-28 | Bottineau | North Dakota | 38009 | 877 | 20 |
1763389 | 1763389 | 2021-09-28 | Bowman | North Dakota | 38011 | 486 | 6 |
1763390 | 1763390 | 2021-09-28 | Burke | North Dakota | 38013 | 283 | 3 |
1763391 | 1763391 | 2021-09-28 | Burleigh | North Dakota | 38015 | 19719 | 213 |
1763392 | 1763392 | 2021-09-28 | Cass | North Dakota | 38017 | 28700 | 223 |
1763393 | 1763393 | 2021-09-28 | Cavalier | North Dakota | 38019 | 507 | 5 |
1763394 | 1763394 | 2021-09-28 | Dickey | North Dakota | 38021 | 891 | 33 |
1763395 | 1763395 | 2021-09-28 | Divide | North Dakota | 38023 | 243 | 2 |
1763396 | 1763396 | 2021-09-28 | Dunn | North Dakota | 38025 | 570 | 7 |
1763397 | 1763397 | 2021-09-28 | Eddy | North Dakota | 38027 | 490 | 6 |
1763398 | 1763398 | 2021-09-28 | Emmons | North Dakota | 38029 | 523 | 14 |
1763399 | 1763399 | 2021-09-28 | Foster | North Dakota | 38031 | 624 | 19 |
1763400 | 1763400 | 2021-09-28 | Golden Valley | North Dakota | 38033 | 303 | 4 |
1763401 | 1763401 | 2021-09-28 | Grand Forks | North Dakota | 38035 | 12037 | 81 |
1763402 | 1763402 | 2021-09-28 | Grant | North Dakota | 38037 | 267 | 7 |
1763403 | 1763403 | 2021-09-28 | Griggs | North Dakota | 38039 | 354 | 2 |
1763404 | 1763404 | 2021-09-28 | Hettinger | North Dakota | 38041 | 426 | 4 |
1763405 | 1763405 | 2021-09-28 | Kidder | North Dakota | 38043 | 323 | 10 |
1763406 | 1763406 | 2021-09-28 | LaMoure | North Dakota | 38045 | 622 | 17 |
1763407 | 1763407 | 2021-09-28 | Logan | North Dakota | 38047 | 305 | 10 |
1763408 | 1763408 | 2021-09-28 | McHenry | North Dakota | 38049 | 770 | 23 |
1763409 | 1763409 | 2021-09-28 | McIntosh | North Dakota | 38051 | 425 | 7 |
1763410 | 1763410 | 2021-09-28 | McKenzie | North Dakota | 38053 | 2023 | 17 |
1763411 | 1763411 | 2021-09-28 | McLean | North Dakota | 38055 | 1563 | 33 |
1763412 | 1763412 | 2021-09-28 | Mercer | North Dakota | 38057 | 1404 | 11 |
1763413 | 1763413 | 2021-09-28 | Morton | North Dakota | 38059 | 6435 | 104 |
1763414 | 1763414 | 2021-09-28 | Mountrail | North Dakota | 38061 | 1702 | 23 |
1763415 | 1763415 | 2021-09-28 | Nelson | North Dakota | 38063 | 526 | 16 |
1763416 | 1763416 | 2021-09-28 | Oliver | North Dakota | 38065 | 175 | 3 |
1763417 | 1763417 | 2021-09-28 | Pembina | North Dakota | 38067 | 1078 | 11 |
1763418 | 1763418 | 2021-09-28 | Pierce | North Dakota | 38069 | 697 | 26 |
1763419 | 1763419 | 2021-09-28 | Ramsey | North Dakota | 38071 | 1980 | 33 |
1763420 | 1763420 | 2021-09-28 | Ransom | North Dakota | 38073 | 851 | 18 |
1763421 | 1763421 | 2021-09-28 | Renville | North Dakota | 38075 | 354 | 14 |
1763422 | 1763422 | 2021-09-28 | Richland | North Dakota | 38077 | 2258 | 19 |
1763423 | 1763423 | 2021-09-28 | Rolette | North Dakota | 38079 | 2506 | 30 |
1763424 | 1763424 | 2021-09-28 | Sargent | North Dakota | 38081 | 562 | 7 |
1763425 | 1763425 | 2021-09-28 | Sheridan | North Dakota | 38083 | 136 | 3 |
1763426 | 1763426 | 2021-09-28 | Sioux | North Dakota | 38085 | 789 | 14 |
1763427 | 1763427 | 2021-09-28 | Slope | North Dakota | 38087 | 39 | 0 |
1763428 | 1763428 | 2021-09-28 | Stark | North Dakota | 38089 | 6408 | 52 |
1763429 | 1763429 | 2021-09-28 | Steele | North Dakota | 38091 | 225 | 2 |
1763430 | 1763430 | 2021-09-28 | Stutsman | North Dakota | 38093 | 4024 | 82 |
1763431 | 1763431 | 2021-09-28 | Towner | North Dakota | 38095 | 357 | 11 |
1763432 | 1763432 | 2021-09-28 | Traill | North Dakota | 38097 | 1181 | 18 |
1763433 | 1763433 | 2021-09-28 | Unknown | North Dakota | 34 | 34 | |
1763434 | 1763434 | 2021-09-28 | Walsh | North Dakota | 38099 | 2118 | 27 |
1763435 | 1763435 | 2021-09-28 | Ward | North Dakota | 38101 | 11645 | 209 |
1763436 | 1763436 | 2021-09-28 | Wells | North Dakota | 38103 | 504 | 9 |
1763437 | 1763437 | 2021-09-28 | Williams | North Dakota | 38105 | 6046 | 43 |
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);