ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
11,758 rows where state = "Vermont" sorted by date descending
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Suggested facets: date (date)
fips 15
county 15
- Bennington 798
- Chittenden 794
- Washington 791
- Windsor 791
- Orange 789
- Addison 785
- Rutland 785
- Franklin 784
- Windham 784
- Unknown 782
- Caledonia 781
- Orleans 781
- Lamoille 780
- Grand Isle 767
- Essex 766
state 1
- Vermont · 11,758 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2502492 | 2502492 | 2022-05-13 | Addison | Vermont | 50001 | 5939 | 18 |
2502493 | 2502493 | 2022-05-13 | Bennington | Vermont | 50003 | 10153 | 71 |
2502494 | 2502494 | 2022-05-13 | Caledonia | Vermont | 50005 | 5854 | 25 |
2502495 | 2502495 | 2022-05-13 | Chittenden | Vermont | 50007 | 34629 | 175 |
2502496 | 2502496 | 2022-05-13 | Essex | Vermont | 50009 | 1301 | 3 |
2502497 | 2502497 | 2022-05-13 | Franklin | Vermont | 50011 | 10325 | 67 |
2502498 | 2502498 | 2022-05-13 | Grand Isle | Vermont | 50013 | 1132 | 5 |
2502499 | 2502499 | 2022-05-13 | Lamoille | Vermont | 50015 | 3964 | 17 |
2502500 | 2502500 | 2022-05-13 | Orange | Vermont | 50017 | 4420 | 14 |
2502501 | 2502501 | 2022-05-13 | Orleans | Vermont | 50019 | 6610 | 38 |
2502502 | 2502502 | 2022-05-13 | Rutland | Vermont | 50021 | 13586 | 74 |
2502503 | 2502503 | 2022-05-13 | Unknown | Vermont | 1496 | 2 | |
2502504 | 2502504 | 2022-05-13 | Washington | Vermont | 50023 | 12430 | 51 |
2502505 | 2502505 | 2022-05-13 | Windham | Vermont | 50025 | 6994 | 36 |
2502506 | 2502506 | 2022-05-13 | Windsor | Vermont | 50027 | 9638 | 52 |
2499234 | 2499234 | 2022-05-12 | Addison | Vermont | 50001 | 5922 | 18 |
2499235 | 2499235 | 2022-05-12 | Bennington | Vermont | 50003 | 10107 | 71 |
2499236 | 2499236 | 2022-05-12 | Caledonia | Vermont | 50005 | 5831 | 25 |
2499237 | 2499237 | 2022-05-12 | Chittenden | Vermont | 50007 | 34521 | 175 |
2499238 | 2499238 | 2022-05-12 | Essex | Vermont | 50009 | 1296 | 3 |
2499239 | 2499239 | 2022-05-12 | Franklin | Vermont | 50011 | 10312 | 67 |
2499240 | 2499240 | 2022-05-12 | Grand Isle | Vermont | 50013 | 1130 | 5 |
2499241 | 2499241 | 2022-05-12 | Lamoille | Vermont | 50015 | 3957 | 17 |
2499242 | 2499242 | 2022-05-12 | Orange | Vermont | 50017 | 4410 | 14 |
2499243 | 2499243 | 2022-05-12 | Orleans | Vermont | 50019 | 6599 | 38 |
2499244 | 2499244 | 2022-05-12 | Rutland | Vermont | 50021 | 13516 | 74 |
2499245 | 2499245 | 2022-05-12 | Unknown | Vermont | 1463 | 2 | |
2499246 | 2499246 | 2022-05-12 | Washington | Vermont | 50023 | 12401 | 51 |
2499247 | 2499247 | 2022-05-12 | Windham | Vermont | 50025 | 6974 | 36 |
2499248 | 2499248 | 2022-05-12 | Windsor | Vermont | 50027 | 9619 | 52 |
2495976 | 2495976 | 2022-05-11 | Addison | Vermont | 50001 | 5902 | 18 |
2495977 | 2495977 | 2022-05-11 | Bennington | Vermont | 50003 | 10078 | 71 |
2495978 | 2495978 | 2022-05-11 | Caledonia | Vermont | 50005 | 5800 | 25 |
2495979 | 2495979 | 2022-05-11 | Chittenden | Vermont | 50007 | 34368 | 175 |
2495980 | 2495980 | 2022-05-11 | Essex | Vermont | 50009 | 1292 | 3 |
2495981 | 2495981 | 2022-05-11 | Franklin | Vermont | 50011 | 10288 | 67 |
2495982 | 2495982 | 2022-05-11 | Grand Isle | Vermont | 50013 | 1126 | 5 |
2495983 | 2495983 | 2022-05-11 | Lamoille | Vermont | 50015 | 3937 | 17 |
2495984 | 2495984 | 2022-05-11 | Orange | Vermont | 50017 | 4388 | 14 |
2495985 | 2495985 | 2022-05-11 | Orleans | Vermont | 50019 | 6566 | 38 |
2495986 | 2495986 | 2022-05-11 | Rutland | Vermont | 50021 | 13455 | 74 |
2495987 | 2495987 | 2022-05-11 | Unknown | Vermont | 1442 | 2 | |
2495988 | 2495988 | 2022-05-11 | Washington | Vermont | 50023 | 12309 | 51 |
2495989 | 2495989 | 2022-05-11 | Windham | Vermont | 50025 | 6942 | 36 |
2495990 | 2495990 | 2022-05-11 | Windsor | Vermont | 50027 | 9564 | 52 |
2492718 | 2492718 | 2022-05-10 | Addison | Vermont | 50001 | 5886 | 18 |
2492719 | 2492719 | 2022-05-10 | Bennington | Vermont | 50003 | 10038 | 71 |
2492720 | 2492720 | 2022-05-10 | Caledonia | Vermont | 50005 | 5795 | 25 |
2492721 | 2492721 | 2022-05-10 | Chittenden | Vermont | 50007 | 34315 | 175 |
2492722 | 2492722 | 2022-05-10 | Essex | Vermont | 50009 | 1291 | 3 |
2492723 | 2492723 | 2022-05-10 | Franklin | Vermont | 50011 | 10272 | 67 |
2492724 | 2492724 | 2022-05-10 | Grand Isle | Vermont | 50013 | 1125 | 5 |
2492725 | 2492725 | 2022-05-10 | Lamoille | Vermont | 50015 | 3936 | 17 |
2492726 | 2492726 | 2022-05-10 | Orange | Vermont | 50017 | 4376 | 14 |
2492727 | 2492727 | 2022-05-10 | Orleans | Vermont | 50019 | 6559 | 38 |
2492728 | 2492728 | 2022-05-10 | Rutland | Vermont | 50021 | 13404 | 74 |
2492729 | 2492729 | 2022-05-10 | Unknown | Vermont | 1432 | 2 | |
2492730 | 2492730 | 2022-05-10 | Washington | Vermont | 50023 | 12297 | 51 |
2492731 | 2492731 | 2022-05-10 | Windham | Vermont | 50025 | 6921 | 36 |
2492732 | 2492732 | 2022-05-10 | Windsor | Vermont | 50027 | 9542 | 52 |
2489460 | 2489460 | 2022-05-09 | Addison | Vermont | 50001 | 5880 | 17 |
2489461 | 2489461 | 2022-05-09 | Bennington | Vermont | 50003 | 10015 | 70 |
2489462 | 2489462 | 2022-05-09 | Caledonia | Vermont | 50005 | 5789 | 25 |
2489463 | 2489463 | 2022-05-09 | Chittenden | Vermont | 50007 | 34258 | 175 |
2489464 | 2489464 | 2022-05-09 | Essex | Vermont | 50009 | 1290 | 3 |
2489465 | 2489465 | 2022-05-09 | Franklin | Vermont | 50011 | 10261 | 67 |
2489466 | 2489466 | 2022-05-09 | Grand Isle | Vermont | 50013 | 1123 | 5 |
2489467 | 2489467 | 2022-05-09 | Lamoille | Vermont | 50015 | 3934 | 17 |
2489468 | 2489468 | 2022-05-09 | Orange | Vermont | 50017 | 4370 | 13 |
2489469 | 2489469 | 2022-05-09 | Orleans | Vermont | 50019 | 6556 | 38 |
2489470 | 2489470 | 2022-05-09 | Rutland | Vermont | 50021 | 13340 | 74 |
2489471 | 2489471 | 2022-05-09 | Unknown | Vermont | 1413 | 2 | |
2489472 | 2489472 | 2022-05-09 | Washington | Vermont | 50023 | 12270 | 51 |
2489473 | 2489473 | 2022-05-09 | Windham | Vermont | 50025 | 6907 | 36 |
2489474 | 2489474 | 2022-05-09 | Windsor | Vermont | 50027 | 9531 | 51 |
2486202 | 2486202 | 2022-05-08 | Addison | Vermont | 50001 | 5845 | 16 |
2486203 | 2486203 | 2022-05-08 | Bennington | Vermont | 50003 | 9954 | 70 |
2486204 | 2486204 | 2022-05-08 | Caledonia | Vermont | 50005 | 5755 | 25 |
2486205 | 2486205 | 2022-05-08 | Chittenden | Vermont | 50007 | 34036 | 174 |
2486206 | 2486206 | 2022-05-08 | Essex | Vermont | 50009 | 1286 | 3 |
2486207 | 2486207 | 2022-05-08 | Franklin | Vermont | 50011 | 10220 | 67 |
2486208 | 2486208 | 2022-05-08 | Grand Isle | Vermont | 50013 | 1115 | 5 |
2486209 | 2486209 | 2022-05-08 | Lamoille | Vermont | 50015 | 3924 | 17 |
2486210 | 2486210 | 2022-05-08 | Orange | Vermont | 50017 | 4339 | 13 |
2486211 | 2486211 | 2022-05-08 | Orleans | Vermont | 50019 | 6533 | 38 |
2486212 | 2486212 | 2022-05-08 | Rutland | Vermont | 50021 | 13244 | 74 |
2486213 | 2486213 | 2022-05-08 | Unknown | Vermont | 1382 | 2 | |
2486214 | 2486214 | 2022-05-08 | Washington | Vermont | 50023 | 12148 | 51 |
2486215 | 2486215 | 2022-05-08 | Windham | Vermont | 50025 | 6847 | 36 |
2486216 | 2486216 | 2022-05-08 | Windsor | Vermont | 50027 | 9471 | 51 |
2482944 | 2482944 | 2022-05-07 | Addison | Vermont | 50001 | 5845 | 16 |
2482945 | 2482945 | 2022-05-07 | Bennington | Vermont | 50003 | 9954 | 70 |
2482946 | 2482946 | 2022-05-07 | Caledonia | Vermont | 50005 | 5755 | 25 |
2482947 | 2482947 | 2022-05-07 | Chittenden | Vermont | 50007 | 34036 | 174 |
2482948 | 2482948 | 2022-05-07 | Essex | Vermont | 50009 | 1286 | 3 |
2482949 | 2482949 | 2022-05-07 | Franklin | Vermont | 50011 | 10220 | 67 |
2482950 | 2482950 | 2022-05-07 | Grand Isle | Vermont | 50013 | 1115 | 5 |
2482951 | 2482951 | 2022-05-07 | Lamoille | Vermont | 50015 | 3924 | 17 |
2482952 | 2482952 | 2022-05-07 | Orange | Vermont | 50017 | 4339 | 13 |
2482953 | 2482953 | 2022-05-07 | Orleans | Vermont | 50019 | 6533 | 38 |
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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);