ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
1,510 rows where county = "Forest" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2501873 | 2501873 | 2022-05-13 | Forest | Pennsylvania | 42053 | 2250 | 35 |
2502758 | 2502758 | 2022-05-13 | Forest | Wisconsin | 55041 | 2694 | 52 |
2498615 | 2498615 | 2022-05-12 | Forest | Pennsylvania | 42053 | 2250 | 35 |
2499500 | 2499500 | 2022-05-12 | Forest | Wisconsin | 55041 | 2692 | 52 |
2495357 | 2495357 | 2022-05-11 | Forest | Pennsylvania | 42053 | 2250 | 35 |
2496242 | 2496242 | 2022-05-11 | Forest | Wisconsin | 55041 | 2688 | 52 |
2492099 | 2492099 | 2022-05-10 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2492984 | 2492984 | 2022-05-10 | Forest | Wisconsin | 55041 | 2686 | 52 |
2488841 | 2488841 | 2022-05-09 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2489726 | 2489726 | 2022-05-09 | Forest | Wisconsin | 55041 | 2685 | 52 |
2485584 | 2485584 | 2022-05-08 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2486469 | 2486469 | 2022-05-08 | Forest | Wisconsin | 55041 | 2683 | 52 |
2482326 | 2482326 | 2022-05-07 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2483211 | 2483211 | 2022-05-07 | Forest | Wisconsin | 55041 | 2683 | 52 |
2479068 | 2479068 | 2022-05-06 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2479953 | 2479953 | 2022-05-06 | Forest | Wisconsin | 55041 | 2683 | 52 |
2475810 | 2475810 | 2022-05-05 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2476695 | 2476695 | 2022-05-05 | Forest | Wisconsin | 55041 | 2682 | 52 |
2472553 | 2472553 | 2022-05-04 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2473437 | 2473437 | 2022-05-04 | Forest | Wisconsin | 55041 | 2682 | 52 |
2469297 | 2469297 | 2022-05-03 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2470180 | 2470180 | 2022-05-03 | Forest | Wisconsin | 55041 | 2681 | 52 |
2466041 | 2466041 | 2022-05-02 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2466924 | 2466924 | 2022-05-02 | Forest | Wisconsin | 55041 | 2681 | 52 |
2462786 | 2462786 | 2022-05-01 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2463669 | 2463669 | 2022-05-01 | Forest | Wisconsin | 55041 | 2681 | 52 |
2459530 | 2459530 | 2022-04-30 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2460413 | 2460413 | 2022-04-30 | Forest | Wisconsin | 55041 | 2681 | 52 |
2456274 | 2456274 | 2022-04-29 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2457157 | 2457157 | 2022-04-29 | Forest | Wisconsin | 55041 | 2681 | 52 |
2453018 | 2453018 | 2022-04-28 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2453901 | 2453901 | 2022-04-28 | Forest | Wisconsin | 55041 | 2680 | 52 |
2449762 | 2449762 | 2022-04-27 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2450645 | 2450645 | 2022-04-27 | Forest | Wisconsin | 55041 | 2680 | 52 |
2446505 | 2446505 | 2022-04-26 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2447389 | 2447389 | 2022-04-26 | Forest | Wisconsin | 55041 | 2680 | 52 |
2443250 | 2443250 | 2022-04-25 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2444133 | 2444133 | 2022-04-25 | Forest | Wisconsin | 55041 | 2680 | 52 |
2439994 | 2439994 | 2022-04-24 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2440877 | 2440877 | 2022-04-24 | Forest | Wisconsin | 55041 | 2679 | 52 |
2436738 | 2436738 | 2022-04-23 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2437621 | 2437621 | 2022-04-23 | Forest | Wisconsin | 55041 | 2679 | 52 |
2433482 | 2433482 | 2022-04-22 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2434365 | 2434365 | 2022-04-22 | Forest | Wisconsin | 55041 | 2679 | 52 |
2430226 | 2430226 | 2022-04-21 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2431109 | 2431109 | 2022-04-21 | Forest | Wisconsin | 55041 | 2678 | 52 |
2426970 | 2426970 | 2022-04-20 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2427853 | 2427853 | 2022-04-20 | Forest | Wisconsin | 55041 | 2675 | 52 |
2423714 | 2423714 | 2022-04-19 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2424597 | 2424597 | 2022-04-19 | Forest | Wisconsin | 55041 | 2674 | 52 |
2420458 | 2420458 | 2022-04-18 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2421341 | 2421341 | 2022-04-18 | Forest | Wisconsin | 55041 | 2674 | 52 |
2417202 | 2417202 | 2022-04-17 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2418085 | 2418085 | 2022-04-17 | Forest | Wisconsin | 55041 | 2672 | 52 |
2413946 | 2413946 | 2022-04-16 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2414829 | 2414829 | 2022-04-16 | Forest | Wisconsin | 55041 | 2672 | 52 |
2410690 | 2410690 | 2022-04-15 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2411573 | 2411573 | 2022-04-15 | Forest | Wisconsin | 55041 | 2672 | 52 |
2407434 | 2407434 | 2022-04-14 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2408317 | 2408317 | 2022-04-14 | Forest | Wisconsin | 55041 | 2672 | 52 |
2404178 | 2404178 | 2022-04-13 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2405061 | 2405061 | 2022-04-13 | Forest | Wisconsin | 55041 | 2672 | 52 |
2400923 | 2400923 | 2022-04-12 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2401806 | 2401806 | 2022-04-12 | Forest | Wisconsin | 55041 | 2672 | 52 |
2397668 | 2397668 | 2022-04-11 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2398551 | 2398551 | 2022-04-11 | Forest | Wisconsin | 55041 | 2672 | 52 |
2394413 | 2394413 | 2022-04-10 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2395296 | 2395296 | 2022-04-10 | Forest | Wisconsin | 55041 | 2672 | 51 |
2391157 | 2391157 | 2022-04-09 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2392040 | 2392040 | 2022-04-09 | Forest | Wisconsin | 55041 | 2672 | 51 |
2387901 | 2387901 | 2022-04-08 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2388784 | 2388784 | 2022-04-08 | Forest | Wisconsin | 55041 | 2672 | 51 |
2384646 | 2384646 | 2022-04-07 | Forest | Pennsylvania | 42053 | 2240 | 35 |
2385529 | 2385529 | 2022-04-07 | Forest | Wisconsin | 55041 | 2671 | 51 |
2381391 | 2381391 | 2022-04-06 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2382274 | 2382274 | 2022-04-06 | Forest | Wisconsin | 55041 | 2668 | 51 |
2378136 | 2378136 | 2022-04-05 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2379019 | 2379019 | 2022-04-05 | Forest | Wisconsin | 55041 | 2668 | 51 |
2374882 | 2374882 | 2022-04-04 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2375765 | 2375765 | 2022-04-04 | Forest | Wisconsin | 55041 | 2668 | 51 |
2371630 | 2371630 | 2022-04-03 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2372513 | 2372513 | 2022-04-03 | Forest | Wisconsin | 55041 | 2668 | 51 |
2368377 | 2368377 | 2022-04-02 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2369260 | 2369260 | 2022-04-02 | Forest | Wisconsin | 55041 | 2668 | 51 |
2365124 | 2365124 | 2022-04-01 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2366007 | 2366007 | 2022-04-01 | Forest | Wisconsin | 55041 | 2668 | 51 |
2361871 | 2361871 | 2022-03-31 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2362754 | 2362754 | 2022-03-31 | Forest | Wisconsin | 55041 | 2668 | 51 |
2358617 | 2358617 | 2022-03-30 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2359500 | 2359500 | 2022-03-30 | Forest | Wisconsin | 55041 | 2667 | 51 |
2355363 | 2355363 | 2022-03-29 | Forest | Pennsylvania | 42053 | 2239 | 35 |
2356246 | 2356246 | 2022-03-29 | Forest | Wisconsin | 55041 | 2667 | 51 |
2352110 | 2352110 | 2022-03-28 | Forest | Pennsylvania | 42053 | 2238 | 35 |
2352993 | 2352993 | 2022-03-28 | Forest | Wisconsin | 55041 | 2667 | 51 |
2348858 | 2348858 | 2022-03-27 | Forest | Pennsylvania | 42053 | 2238 | 35 |
2349741 | 2349741 | 2022-03-27 | Forest | Wisconsin | 55041 | 2667 | 51 |
2345605 | 2345605 | 2022-03-26 | Forest | Pennsylvania | 42053 | 2238 | 35 |
2346488 | 2346488 | 2022-03-26 | Forest | Wisconsin | 55041 | 2667 | 51 |
2342352 | 2342352 | 2022-03-25 | Forest | Pennsylvania | 42053 | 2238 | 35 |
2343235 | 2343235 | 2022-03-25 | Forest | Wisconsin | 55041 | 2667 | 51 |
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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);