ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,229 rows where county = "Potter" sorted by date descending
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Suggested facets: date (date)
state 3
- Pennsylvania 785
- Texas 784
- South Dakota 660
county 1
- Potter · 2,229 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2501899 | 2501899 | 2022-05-13 | Potter | Pennsylvania | 42105 | 3256 | 92 |
2502098 | 2502098 | 2022-05-13 | Potter | South Dakota | 46107 | 703 | 7 |
2502395 | 2502395 | 2022-05-13 | Potter | Texas | 48375 | 35779 | 739 |
2498641 | 2498641 | 2022-05-12 | Potter | Pennsylvania | 42105 | 3256 | 92 |
2498840 | 2498840 | 2022-05-12 | Potter | South Dakota | 46107 | 703 | 7 |
2499137 | 2499137 | 2022-05-12 | Potter | Texas | 48375 | 35778 | 739 |
2495383 | 2495383 | 2022-05-11 | Potter | Pennsylvania | 42105 | 3256 | 92 |
2495582 | 2495582 | 2022-05-11 | Potter | South Dakota | 46107 | 703 | 7 |
2495879 | 2495879 | 2022-05-11 | Potter | Texas | 48375 | 35777 | 739 |
2492125 | 2492125 | 2022-05-10 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2492324 | 2492324 | 2022-05-10 | Potter | South Dakota | 46107 | 704 | 7 |
2492621 | 2492621 | 2022-05-10 | Potter | Texas | 48375 | 35772 | 739 |
2488867 | 2488867 | 2022-05-09 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2489066 | 2489066 | 2022-05-09 | Potter | South Dakota | 46107 | 704 | 7 |
2489363 | 2489363 | 2022-05-09 | Potter | Texas | 48375 | 35766 | 739 |
2485610 | 2485610 | 2022-05-08 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2485809 | 2485809 | 2022-05-08 | Potter | South Dakota | 46107 | 704 | 7 |
2486105 | 2486105 | 2022-05-08 | Potter | Texas | 48375 | 35765 | 739 |
2482352 | 2482352 | 2022-05-07 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2482551 | 2482551 | 2022-05-07 | Potter | South Dakota | 46107 | 704 | 7 |
2482847 | 2482847 | 2022-05-07 | Potter | Texas | 48375 | 35765 | 739 |
2479094 | 2479094 | 2022-05-06 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2479293 | 2479293 | 2022-05-06 | Potter | South Dakota | 46107 | 704 | 7 |
2479589 | 2479589 | 2022-05-06 | Potter | Texas | 48375 | 35765 | 739 |
2475836 | 2475836 | 2022-05-05 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2476035 | 2476035 | 2022-05-05 | Potter | South Dakota | 46107 | 704 | 7 |
2476331 | 2476331 | 2022-05-05 | Potter | Texas | 48375 | 35765 | 739 |
2472579 | 2472579 | 2022-05-04 | Potter | Pennsylvania | 42105 | 3222 | 92 |
2472778 | 2472778 | 2022-05-04 | Potter | South Dakota | 46107 | 704 | 7 |
2473074 | 2473074 | 2022-05-04 | Potter | Texas | 48375 | 35762 | 739 |
2469323 | 2469323 | 2022-05-03 | Potter | Pennsylvania | 42105 | 3219 | 92 |
2469522 | 2469522 | 2022-05-03 | Potter | South Dakota | 46107 | 703 | 7 |
2469818 | 2469818 | 2022-05-03 | Potter | Texas | 48375 | 35759 | 739 |
2466067 | 2466067 | 2022-05-02 | Potter | Pennsylvania | 42105 | 3218 | 92 |
2466266 | 2466266 | 2022-05-02 | Potter | South Dakota | 46107 | 703 | 7 |
2466562 | 2466562 | 2022-05-02 | Potter | Texas | 48375 | 35754 | 739 |
2462812 | 2462812 | 2022-05-01 | Potter | Pennsylvania | 42105 | 3218 | 92 |
2463011 | 2463011 | 2022-05-01 | Potter | South Dakota | 46107 | 703 | 7 |
2463307 | 2463307 | 2022-05-01 | Potter | Texas | 48375 | 35747 | 739 |
2459556 | 2459556 | 2022-04-30 | Potter | Pennsylvania | 42105 | 3218 | 92 |
2459755 | 2459755 | 2022-04-30 | Potter | South Dakota | 46107 | 703 | 7 |
2460051 | 2460051 | 2022-04-30 | Potter | Texas | 48375 | 35747 | 739 |
2456300 | 2456300 | 2022-04-29 | Potter | Pennsylvania | 42105 | 3218 | 92 |
2456499 | 2456499 | 2022-04-29 | Potter | South Dakota | 46107 | 703 | 7 |
2456795 | 2456795 | 2022-04-29 | Potter | Texas | 48375 | 35747 | 739 |
2453044 | 2453044 | 2022-04-28 | Potter | Pennsylvania | 42105 | 3217 | 92 |
2453243 | 2453243 | 2022-04-28 | Potter | South Dakota | 46107 | 703 | 7 |
2453539 | 2453539 | 2022-04-28 | Potter | Texas | 48375 | 35747 | 739 |
2449788 | 2449788 | 2022-04-27 | Potter | Pennsylvania | 42105 | 3213 | 92 |
2449987 | 2449987 | 2022-04-27 | Potter | South Dakota | 46107 | 703 | 7 |
2450283 | 2450283 | 2022-04-27 | Potter | Texas | 48375 | 35743 | 738 |
2446531 | 2446531 | 2022-04-26 | Potter | Pennsylvania | 42105 | 3212 | 92 |
2446730 | 2446730 | 2022-04-26 | Potter | South Dakota | 46107 | 703 | 7 |
2447026 | 2447026 | 2022-04-26 | Potter | Texas | 48375 | 35739 | 738 |
2443276 | 2443276 | 2022-04-25 | Potter | Pennsylvania | 42105 | 3211 | 92 |
2443475 | 2443475 | 2022-04-25 | Potter | South Dakota | 46107 | 703 | 7 |
2443771 | 2443771 | 2022-04-25 | Potter | Texas | 48375 | 35734 | 738 |
2440020 | 2440020 | 2022-04-24 | Potter | Pennsylvania | 42105 | 3210 | 92 |
2440219 | 2440219 | 2022-04-24 | Potter | South Dakota | 46107 | 703 | 7 |
2440515 | 2440515 | 2022-04-24 | Potter | Texas | 48375 | 35724 | 738 |
2436764 | 2436764 | 2022-04-23 | Potter | Pennsylvania | 42105 | 3210 | 92 |
2436963 | 2436963 | 2022-04-23 | Potter | South Dakota | 46107 | 703 | 7 |
2437259 | 2437259 | 2022-04-23 | Potter | Texas | 48375 | 35724 | 738 |
2433508 | 2433508 | 2022-04-22 | Potter | Pennsylvania | 42105 | 3209 | 92 |
2433707 | 2433707 | 2022-04-22 | Potter | South Dakota | 46107 | 703 | 7 |
2434003 | 2434003 | 2022-04-22 | Potter | Texas | 48375 | 35724 | 738 |
2430252 | 2430252 | 2022-04-21 | Potter | Pennsylvania | 42105 | 3209 | 92 |
2430451 | 2430451 | 2022-04-21 | Potter | South Dakota | 46107 | 703 | 7 |
2430747 | 2430747 | 2022-04-21 | Potter | Texas | 48375 | 35722 | 738 |
2426996 | 2426996 | 2022-04-20 | Potter | Pennsylvania | 42105 | 3206 | 92 |
2427195 | 2427195 | 2022-04-20 | Potter | South Dakota | 46107 | 703 | 7 |
2427491 | 2427491 | 2022-04-20 | Potter | Texas | 48375 | 35705 | 738 |
2423740 | 2423740 | 2022-04-19 | Potter | Pennsylvania | 42105 | 3204 | 92 |
2423939 | 2423939 | 2022-04-19 | Potter | South Dakota | 46107 | 704 | 7 |
2424235 | 2424235 | 2022-04-19 | Potter | Texas | 48375 | 35699 | 721 |
2420484 | 2420484 | 2022-04-18 | Potter | Pennsylvania | 42105 | 3204 | 92 |
2420683 | 2420683 | 2022-04-18 | Potter | South Dakota | 46107 | 704 | 7 |
2420979 | 2420979 | 2022-04-18 | Potter | Texas | 48375 | 35691 | 721 |
2417228 | 2417228 | 2022-04-17 | Potter | Pennsylvania | 42105 | 3203 | 92 |
2417427 | 2417427 | 2022-04-17 | Potter | South Dakota | 46107 | 704 | 7 |
2417723 | 2417723 | 2022-04-17 | Potter | Texas | 48375 | 35686 | 717 |
2413972 | 2413972 | 2022-04-16 | Potter | Pennsylvania | 42105 | 3203 | 92 |
2414171 | 2414171 | 2022-04-16 | Potter | South Dakota | 46107 | 704 | 7 |
2414467 | 2414467 | 2022-04-16 | Potter | Texas | 48375 | 35686 | 717 |
2410716 | 2410716 | 2022-04-15 | Potter | Pennsylvania | 42105 | 3200 | 92 |
2410915 | 2410915 | 2022-04-15 | Potter | South Dakota | 46107 | 704 | 7 |
2411211 | 2411211 | 2022-04-15 | Potter | Texas | 48375 | 35686 | 717 |
2407460 | 2407460 | 2022-04-14 | Potter | Pennsylvania | 42105 | 3199 | 92 |
2407659 | 2407659 | 2022-04-14 | Potter | South Dakota | 46107 | 704 | 7 |
2407955 | 2407955 | 2022-04-14 | Potter | Texas | 48375 | 35686 | 716 |
2404204 | 2404204 | 2022-04-13 | Potter | Pennsylvania | 42105 | 3197 | 92 |
2404403 | 2404403 | 2022-04-13 | Potter | South Dakota | 46107 | 704 | 7 |
2404699 | 2404699 | 2022-04-13 | Potter | Texas | 48375 | 35686 | 716 |
2400949 | 2400949 | 2022-04-12 | Potter | Pennsylvania | 42105 | 3194 | 92 |
2401148 | 2401148 | 2022-04-12 | Potter | South Dakota | 46107 | 704 | 7 |
2401444 | 2401444 | 2022-04-12 | Potter | Texas | 48375 | 35686 | 716 |
2397694 | 2397694 | 2022-04-11 | Potter | Pennsylvania | 42105 | 3190 | 92 |
2397893 | 2397893 | 2022-04-11 | Potter | South Dakota | 46107 | 704 | 7 |
2398189 | 2398189 | 2022-04-11 | Potter | Texas | 48375 | 35684 | 714 |
2394439 | 2394439 | 2022-04-10 | Potter | Pennsylvania | 42105 | 3190 | 92 |
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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);