ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,314 rows where county = "Daviess" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
county 1
- Daviess · 2,314 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2500293 | 2500293 | 2022-05-13 | Daviess | Indiana | 18027 | 7496 | 154 |
2500608 | 2500608 | 2022-05-13 | Daviess | Kentucky | 21059 | 31176 | 391 |
2501106 | 2501106 | 2022-05-13 | Daviess | Missouri | 29061 | 1730 | 29 |
2497035 | 2497035 | 2022-05-12 | Daviess | Indiana | 18027 | 7493 | 154 |
2497350 | 2497350 | 2022-05-12 | Daviess | Kentucky | 21059 | 31176 | 391 |
2497848 | 2497848 | 2022-05-12 | Daviess | Missouri | 29061 | 1727 | 29 |
2493777 | 2493777 | 2022-05-11 | Daviess | Indiana | 18027 | 7493 | 154 |
2494092 | 2494092 | 2022-05-11 | Daviess | Kentucky | 21059 | 31176 | 391 |
2494590 | 2494590 | 2022-05-11 | Daviess | Missouri | 29061 | 1727 | 29 |
2490519 | 2490519 | 2022-05-10 | Daviess | Indiana | 18027 | 7495 | 154 |
2490834 | 2490834 | 2022-05-10 | Daviess | Kentucky | 21059 | 31176 | 391 |
2491332 | 2491332 | 2022-05-10 | Daviess | Missouri | 29061 | 1727 | 29 |
2487262 | 2487262 | 2022-05-09 | Daviess | Indiana | 18027 | 7495 | 154 |
2487577 | 2487577 | 2022-05-09 | Daviess | Kentucky | 21059 | 31176 | 391 |
2488074 | 2488074 | 2022-05-09 | Daviess | Missouri | 29061 | 1727 | 29 |
2484004 | 2484004 | 2022-05-08 | Daviess | Indiana | 18027 | 7489 | 154 |
2484319 | 2484319 | 2022-05-08 | Daviess | Kentucky | 21059 | 31142 | 390 |
2484817 | 2484817 | 2022-05-08 | Daviess | Missouri | 29061 | 1727 | 29 |
2480746 | 2480746 | 2022-05-07 | Daviess | Indiana | 18027 | 7489 | 154 |
2481061 | 2481061 | 2022-05-07 | Daviess | Kentucky | 21059 | 31142 | 390 |
2481559 | 2481559 | 2022-05-07 | Daviess | Missouri | 29061 | 1727 | 29 |
2477488 | 2477488 | 2022-05-06 | Daviess | Indiana | 18027 | 7489 | 154 |
2477803 | 2477803 | 2022-05-06 | Daviess | Kentucky | 21059 | 31142 | 390 |
2478301 | 2478301 | 2022-05-06 | Daviess | Missouri | 29061 | 1727 | 29 |
2474230 | 2474230 | 2022-05-05 | Daviess | Indiana | 18027 | 7489 | 154 |
2474545 | 2474545 | 2022-05-05 | Daviess | Kentucky | 21059 | 31142 | 390 |
2475043 | 2475043 | 2022-05-05 | Daviess | Missouri | 29061 | 1721 | 29 |
2470973 | 2470973 | 2022-05-04 | Daviess | Indiana | 18027 | 7489 | 154 |
2471288 | 2471288 | 2022-05-04 | Daviess | Kentucky | 21059 | 31142 | 390 |
2471786 | 2471786 | 2022-05-04 | Daviess | Missouri | 29061 | 1716 | 28 |
2467717 | 2467717 | 2022-05-03 | Daviess | Indiana | 18027 | 7484 | 154 |
2468032 | 2468032 | 2022-05-03 | Daviess | Kentucky | 21059 | 31142 | 390 |
2468530 | 2468530 | 2022-05-03 | Daviess | Missouri | 29061 | 1716 | 28 |
2464462 | 2464462 | 2022-05-02 | Daviess | Indiana | 18027 | 7484 | 154 |
2464777 | 2464777 | 2022-05-02 | Daviess | Kentucky | 21059 | 31142 | 390 |
2465274 | 2465274 | 2022-05-02 | Daviess | Missouri | 29061 | 1716 | 28 |
2461206 | 2461206 | 2022-05-01 | Daviess | Indiana | 18027 | 7482 | 154 |
2461521 | 2461521 | 2022-05-01 | Daviess | Kentucky | 21059 | 31104 | 385 |
2462019 | 2462019 | 2022-05-01 | Daviess | Missouri | 29061 | 1716 | 28 |
2457950 | 2457950 | 2022-04-30 | Daviess | Indiana | 18027 | 7482 | 154 |
2458265 | 2458265 | 2022-04-30 | Daviess | Kentucky | 21059 | 31104 | 385 |
2458763 | 2458763 | 2022-04-30 | Daviess | Missouri | 29061 | 1716 | 28 |
2454694 | 2454694 | 2022-04-29 | Daviess | Indiana | 18027 | 7482 | 154 |
2455009 | 2455009 | 2022-04-29 | Daviess | Kentucky | 21059 | 31104 | 385 |
2455507 | 2455507 | 2022-04-29 | Daviess | Missouri | 29061 | 1716 | 28 |
2451438 | 2451438 | 2022-04-28 | Daviess | Indiana | 18027 | 7480 | 154 |
2451753 | 2451753 | 2022-04-28 | Daviess | Kentucky | 21059 | 31104 | 385 |
2452251 | 2452251 | 2022-04-28 | Daviess | Missouri | 29061 | 1716 | 28 |
2448182 | 2448182 | 2022-04-27 | Daviess | Indiana | 18027 | 7480 | 154 |
2448497 | 2448497 | 2022-04-27 | Daviess | Kentucky | 21059 | 31104 | 385 |
2448995 | 2448995 | 2022-04-27 | Daviess | Missouri | 29061 | 1716 | 28 |
2444926 | 2444926 | 2022-04-26 | Daviess | Indiana | 18027 | 7476 | 153 |
2445241 | 2445241 | 2022-04-26 | Daviess | Kentucky | 21059 | 31104 | 385 |
2445738 | 2445738 | 2022-04-26 | Daviess | Missouri | 29061 | 1716 | 28 |
2441670 | 2441670 | 2022-04-25 | Daviess | Indiana | 18027 | 7476 | 153 |
2441985 | 2441985 | 2022-04-25 | Daviess | Kentucky | 21059 | 31104 | 385 |
2442483 | 2442483 | 2022-04-25 | Daviess | Missouri | 29061 | 1716 | 28 |
2438414 | 2438414 | 2022-04-24 | Daviess | Indiana | 18027 | 7471 | 153 |
2438729 | 2438729 | 2022-04-24 | Daviess | Kentucky | 21059 | 31104 | 385 |
2439227 | 2439227 | 2022-04-24 | Daviess | Missouri | 29061 | 1716 | 28 |
2435158 | 2435158 | 2022-04-23 | Daviess | Indiana | 18027 | 7471 | 153 |
2435473 | 2435473 | 2022-04-23 | Daviess | Kentucky | 21059 | 31104 | 385 |
2435971 | 2435971 | 2022-04-23 | Daviess | Missouri | 29061 | 1716 | 28 |
2431902 | 2431902 | 2022-04-22 | Daviess | Indiana | 18027 | 7471 | 153 |
2432217 | 2432217 | 2022-04-22 | Daviess | Kentucky | 21059 | 31104 | 385 |
2432715 | 2432715 | 2022-04-22 | Daviess | Missouri | 29061 | 1716 | 28 |
2428646 | 2428646 | 2022-04-21 | Daviess | Indiana | 18027 | 7470 | 153 |
2428961 | 2428961 | 2022-04-21 | Daviess | Kentucky | 21059 | 31104 | 385 |
2429459 | 2429459 | 2022-04-21 | Daviess | Missouri | 29061 | 1716 | 28 |
2425390 | 2425390 | 2022-04-20 | Daviess | Indiana | 18027 | 7470 | 153 |
2425705 | 2425705 | 2022-04-20 | Daviess | Kentucky | 21059 | 31104 | 385 |
2426203 | 2426203 | 2022-04-20 | Daviess | Missouri | 29061 | 1716 | 28 |
2422134 | 2422134 | 2022-04-19 | Daviess | Indiana | 18027 | 7470 | 153 |
2422449 | 2422449 | 2022-04-19 | Daviess | Kentucky | 21059 | 31104 | 385 |
2422947 | 2422947 | 2022-04-19 | Daviess | Missouri | 29061 | 1716 | 28 |
2418878 | 2418878 | 2022-04-18 | Daviess | Indiana | 18027 | 7470 | 153 |
2419193 | 2419193 | 2022-04-18 | Daviess | Kentucky | 21059 | 31104 | 385 |
2419690 | 2419690 | 2022-04-18 | Daviess | Missouri | 29061 | 1716 | 28 |
2415622 | 2415622 | 2022-04-17 | Daviess | Indiana | 18027 | 7469 | 153 |
2415937 | 2415937 | 2022-04-17 | Daviess | Kentucky | 21059 | 31046 | 382 |
2416435 | 2416435 | 2022-04-17 | Daviess | Missouri | 29061 | 1716 | 28 |
2412366 | 2412366 | 2022-04-16 | Daviess | Indiana | 18027 | 7469 | 153 |
2412681 | 2412681 | 2022-04-16 | Daviess | Kentucky | 21059 | 31046 | 382 |
2413179 | 2413179 | 2022-04-16 | Daviess | Missouri | 29061 | 1716 | 28 |
2409110 | 2409110 | 2022-04-15 | Daviess | Indiana | 18027 | 7469 | 153 |
2409425 | 2409425 | 2022-04-15 | Daviess | Kentucky | 21059 | 31046 | 382 |
2409923 | 2409923 | 2022-04-15 | Daviess | Missouri | 29061 | 1716 | 28 |
2405854 | 2405854 | 2022-04-14 | Daviess | Indiana | 18027 | 7469 | 153 |
2406169 | 2406169 | 2022-04-14 | Daviess | Kentucky | 21059 | 31046 | 382 |
2406667 | 2406667 | 2022-04-14 | Daviess | Missouri | 29061 | 1716 | 28 |
2402599 | 2402599 | 2022-04-13 | Daviess | Indiana | 18027 | 7469 | 153 |
2402913 | 2402913 | 2022-04-13 | Daviess | Kentucky | 21059 | 31046 | 382 |
2403411 | 2403411 | 2022-04-13 | Daviess | Missouri | 29061 | 1716 | 28 |
2399344 | 2399344 | 2022-04-12 | Daviess | Indiana | 18027 | 7469 | 153 |
2399659 | 2399659 | 2022-04-12 | Daviess | Kentucky | 21059 | 31046 | 382 |
2400156 | 2400156 | 2022-04-12 | Daviess | Missouri | 29061 | 1716 | 28 |
2396089 | 2396089 | 2022-04-11 | Daviess | Indiana | 18027 | 7469 | 153 |
2396403 | 2396403 | 2022-04-11 | Daviess | Kentucky | 21059 | 31046 | 382 |
2396901 | 2396901 | 2022-04-11 | Daviess | Missouri | 29061 | 1716 | 28 |
2392833 | 2392833 | 2022-04-10 | Daviess | Indiana | 18027 | 7468 | 153 |
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);