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 2022-03-07 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 |
---|---|---|---|---|---|---|---|
2283516 | 2283516 | 2022-03-07 | Adams | North Dakota | 38001 | 594 | 10 |
2283517 | 2283517 | 2022-03-07 | Barnes | North Dakota | 38003 | 2959 | 46 |
2283518 | 2283518 | 2022-03-07 | Benson | North Dakota | 38005 | 1958 | 22 |
2283519 | 2283519 | 2022-03-07 | Billings | North Dakota | 38007 | 142 | 1 |
2283520 | 2283520 | 2022-03-07 | Bottineau | North Dakota | 38009 | 1576 | 25 |
2283521 | 2283521 | 2022-03-07 | Bowman | North Dakota | 38011 | 829 | 9 |
2283522 | 2283522 | 2022-03-07 | Burke | North Dakota | 38013 | 430 | 3 |
2283523 | 2283523 | 2022-03-07 | Burleigh | North Dakota | 38015 | 34741 | 301 |
2283524 | 2283524 | 2022-03-07 | Cass | North Dakota | 38017 | 58634 | 330 |
2283525 | 2283525 | 2022-03-07 | Cavalier | North Dakota | 38019 | 813 | 7 |
2283526 | 2283526 | 2022-03-07 | Dickey | North Dakota | 38021 | 1481 | 39 |
2283527 | 2283527 | 2022-03-07 | Divide | North Dakota | 38023 | 454 | 4 |
2283528 | 2283528 | 2022-03-07 | Dunn | North Dakota | 38025 | 1032 | 8 |
2283529 | 2283529 | 2022-03-07 | Eddy | North Dakota | 38027 | 757 | 6 |
2283530 | 2283530 | 2022-03-07 | Emmons | North Dakota | 38029 | 727 | 18 |
2283531 | 2283531 | 2022-03-07 | Foster | North Dakota | 38031 | 979 | 23 |
2283532 | 2283532 | 2022-03-07 | Golden Valley | North Dakota | 38033 | 475 | 4 |
2283533 | 2283533 | 2022-03-07 | Grand Forks | North Dakota | 38035 | 22004 | 124 |
2283534 | 2283534 | 2022-03-07 | Grant | North Dakota | 38037 | 450 | 11 |
2283535 | 2283535 | 2022-03-07 | Griggs | North Dakota | 38039 | 567 | 2 |
2283536 | 2283536 | 2022-03-07 | Hettinger | North Dakota | 38041 | 821 | 7 |
2283537 | 2283537 | 2022-03-07 | Kidder | North Dakota | 38043 | 502 | 13 |
2283538 | 2283538 | 2022-03-07 | LaMoure | North Dakota | 38045 | 982 | 20 |
2283539 | 2283539 | 2022-03-07 | Logan | North Dakota | 38047 | 434 | 12 |
2283540 | 2283540 | 2022-03-07 | McHenry | North Dakota | 38049 | 1294 | 31 |
2283541 | 2283541 | 2022-03-07 | McIntosh | North Dakota | 38051 | 680 | 9 |
2283542 | 2283542 | 2022-03-07 | McKenzie | North Dakota | 38053 | 3242 | 25 |
2283543 | 2283543 | 2022-03-07 | McLean | North Dakota | 38055 | 2727 | 49 |
2283544 | 2283544 | 2022-03-07 | Mercer | North Dakota | 38057 | 2548 | 24 |
2283545 | 2283545 | 2022-03-07 | Morton | North Dakota | 38059 | 11156 | 142 |
2283546 | 2283546 | 2022-03-07 | Mountrail | North Dakota | 38061 | 3214 | 36 |
2283547 | 2283547 | 2022-03-07 | Nelson | North Dakota | 38063 | 757 | 18 |
2283548 | 2283548 | 2022-03-07 | Oliver | North Dakota | 38065 | 326 | 5 |
2283549 | 2283549 | 2022-03-07 | Pembina | North Dakota | 38067 | 1958 | 16 |
2283550 | 2283550 | 2022-03-07 | Pierce | North Dakota | 38069 | 1057 | 32 |
2283551 | 2283551 | 2022-03-07 | Ramsey | North Dakota | 38071 | 3613 | 55 |
2283552 | 2283552 | 2022-03-07 | Ransom | North Dakota | 38073 | 1487 | 28 |
2283553 | 2283553 | 2022-03-07 | Renville | North Dakota | 38075 | 547 | 15 |
2283554 | 2283554 | 2022-03-07 | Richland | North Dakota | 38077 | 4019 | 23 |
2283555 | 2283555 | 2022-03-07 | Rolette | North Dakota | 38079 | 5889 | 41 |
2283556 | 2283556 | 2022-03-07 | Sargent | North Dakota | 38081 | 1030 | 9 |
2283557 | 2283557 | 2022-03-07 | Sheridan | North Dakota | 38083 | 291 | 7 |
2283558 | 2283558 | 2022-03-07 | Sioux | North Dakota | 38085 | 1334 | 19 |
2283559 | 2283559 | 2022-03-07 | Slope | North Dakota | 38087 | 63 | 0 |
2283560 | 2283560 | 2022-03-07 | Stark | North Dakota | 38089 | 11595 | 85 |
2283561 | 2283561 | 2022-03-07 | Steele | North Dakota | 38091 | 383 | 2 |
2283562 | 2283562 | 2022-03-07 | Stutsman | North Dakota | 38093 | 7011 | 96 |
2283563 | 2283563 | 2022-03-07 | Towner | North Dakota | 38095 | 635 | 12 |
2283564 | 2283564 | 2022-03-07 | Traill | North Dakota | 38097 | 2180 | 25 |
2283565 | 2283565 | 2022-03-07 | Unknown | North Dakota | 0 | 47 | |
2283566 | 2283566 | 2022-03-07 | Walsh | North Dakota | 38099 | 3327 | 34 |
2283567 | 2283567 | 2022-03-07 | Ward | North Dakota | 38101 | 20645 | 249 |
2283568 | 2283568 | 2022-03-07 | Wells | North Dakota | 38103 | 1007 | 11 |
2283569 | 2283569 | 2022-03-07 | Williams | North Dakota | 38105 | 10428 | 68 |
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);