ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
45,692 rows where state = "New York" sorted by state descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
date (date) >30 ✖
- 2020-04-02 59
- 2020-04-03 59
- 2020-04-04 59
- 2020-04-05 59
- 2020-04-17 59
- 2020-04-18 59
- 2020-03-31 58
- 2020-04-01 58
- 2020-04-06 58
- 2020-04-07 58
- 2020-04-08 58
- 2020-04-09 58
- 2020-04-10 58
- 2020-04-11 58
- 2020-04-12 58
- 2020-04-13 58
- 2020-04-14 58
- 2020-04-15 58
- 2020-04-16 58
- 2020-04-19 58
- 2020-04-20 58
- 2020-04-21 58
- 2020-04-22 58
- 2020-04-23 58
- 2020-04-24 58
- 2020-04-25 58
- 2020-04-26 58
- 2020-04-27 58
- 2020-04-28 58
- 2020-04-29 58
- …
county >30
- New York City 804
- Westchester 801
- Nassau 800
- Rockland 799
- Saratoga 798
- Suffolk 797
- Ulster 797
- Monroe 794
- Albany 793
- Delaware 793
- Dutchess 793
- Herkimer 793
- Orange 793
- Schenectady 792
- Broome 791
- Tioga 791
- Tompkins 791
- Erie 790
- Greene 790
- Montgomery 790
- Putnam 790
- Allegany 789
- Onondaga 789
- Ontario 789
- Clinton 788
- Rensselaer 788
- Sullivan 788
- Wyoming 788
- Chenango 787
- Essex 787
- …
state 1
- New York · 45,692 ✖
Link | rowid | date | county | state ▲ | fips | cases | deaths |
---|---|---|---|---|---|---|---|
417 | 417 | 2020-03-01 | New York City | New York | 1 | 0 | |
449 | 449 | 2020-03-02 | New York City | New York | 1 | 0 | |
483 | 483 | 2020-03-03 | New York City | New York | 2 | 0 | |
519 | 519 | 2020-03-04 | New York City | New York | 2 | 0 | |
520 | 520 | 2020-03-04 | Westchester | New York | 36119 | 9 | 0 |
565 | 565 | 2020-03-05 | Nassau | New York | 36059 | 1 | 0 |
566 | 566 | 2020-03-05 | New York City | New York | 4 | 0 | |
567 | 567 | 2020-03-05 | Westchester | New York | 36119 | 17 | 0 |
627 | 627 | 2020-03-06 | Nassau | New York | 36059 | 4 | 0 |
628 | 628 | 2020-03-06 | New York City | New York | 5 | 0 | |
629 | 629 | 2020-03-06 | Rockland | New York | 36087 | 2 | 0 |
630 | 630 | 2020-03-06 | Westchester | New York | 36119 | 33 | 0 |
715 | 715 | 2020-03-07 | Nassau | New York | 36059 | 4 | 0 |
716 | 716 | 2020-03-07 | New York City | New York | 12 | 0 | |
717 | 717 | 2020-03-07 | Rockland | New York | 36087 | 2 | 0 |
718 | 718 | 2020-03-07 | Saratoga | New York | 36091 | 2 | 0 |
719 | 719 | 2020-03-07 | Westchester | New York | 36119 | 69 | 0 |
820 | 820 | 2020-03-08 | Nassau | New York | 36059 | 5 | 0 |
821 | 821 | 2020-03-08 | New York City | New York | 14 | 0 | |
822 | 822 | 2020-03-08 | Rockland | New York | 36087 | 2 | 0 |
823 | 823 | 2020-03-08 | Saratoga | New York | 36091 | 2 | 0 |
824 | 824 | 2020-03-08 | Suffolk | New York | 36103 | 1 | 0 |
825 | 825 | 2020-03-08 | Ulster | New York | 36111 | 1 | 0 |
826 | 826 | 2020-03-08 | Westchester | New York | 36119 | 81 | 0 |
947 | 947 | 2020-03-09 | Nassau | New York | 36059 | 17 | 0 |
948 | 948 | 2020-03-09 | New York City | New York | 20 | 0 | |
949 | 949 | 2020-03-09 | Rockland | New York | 36087 | 4 | 0 |
950 | 950 | 2020-03-09 | Saratoga | New York | 36091 | 2 | 0 |
951 | 951 | 2020-03-09 | Suffolk | New York | 36103 | 1 | 0 |
952 | 952 | 2020-03-09 | Ulster | New York | 36111 | 1 | 0 |
953 | 953 | 2020-03-09 | Westchester | New York | 36119 | 97 | 0 |
1098 | 1098 | 2020-03-10 | Nassau | New York | 36059 | 19 | 0 |
1099 | 1099 | 2020-03-10 | New York City | New York | 37 | 0 | |
1100 | 1100 | 2020-03-10 | Rockland | New York | 36087 | 6 | 0 |
1101 | 1101 | 2020-03-10 | Saratoga | New York | 36091 | 2 | 0 |
1102 | 1102 | 2020-03-10 | Suffolk | New York | 36103 | 1 | 0 |
1103 | 1103 | 2020-03-10 | Ulster | New York | 36111 | 1 | 0 |
1104 | 1104 | 2020-03-10 | Westchester | New York | 36119 | 107 | 0 |
1284 | 1284 | 2020-03-11 | Monroe | New York | 36055 | 1 | 0 |
1285 | 1285 | 2020-03-11 | Nassau | New York | 36059 | 28 | 0 |
1286 | 1286 | 2020-03-11 | New York City | New York | 52 | 0 | |
1287 | 1287 | 2020-03-11 | Rockland | New York | 36087 | 6 | 0 |
1288 | 1288 | 2020-03-11 | Saratoga | New York | 36091 | 2 | 0 |
1289 | 1289 | 2020-03-11 | Suffolk | New York | 36103 | 6 | 0 |
1290 | 1290 | 2020-03-11 | Ulster | New York | 36111 | 2 | 0 |
1291 | 1291 | 2020-03-11 | Westchester | New York | 36119 | 120 | 0 |
1516 | 1516 | 2020-03-12 | Albany | New York | 36001 | 2 | 0 |
1517 | 1517 | 2020-03-12 | Delaware | New York | 36025 | 1 | 0 |
1518 | 1518 | 2020-03-12 | Dutchess | New York | 36027 | 1 | 0 |
1519 | 1519 | 2020-03-12 | Herkimer | New York | 36043 | 1 | 0 |
1520 | 1520 | 2020-03-12 | Monroe | New York | 36055 | 1 | 0 |
1521 | 1521 | 2020-03-12 | Nassau | New York | 36059 | 41 | 0 |
1522 | 1522 | 2020-03-12 | New York City | New York | 96 | 0 | |
1523 | 1523 | 2020-03-12 | Orange | New York | 36071 | 1 | 0 |
1524 | 1524 | 2020-03-12 | Rockland | New York | 36087 | 7 | 0 |
1525 | 1525 | 2020-03-12 | Saratoga | New York | 36091 | 3 | 0 |
1526 | 1526 | 2020-03-12 | Suffolk | New York | 36103 | 21 | 0 |
1527 | 1527 | 2020-03-12 | Ulster | New York | 36111 | 4 | 0 |
1528 | 1528 | 2020-03-12 | Westchester | New York | 36119 | 147 | 0 |
1809 | 1809 | 2020-03-13 | Albany | New York | 36001 | 2 | 0 |
1810 | 1810 | 2020-03-13 | Delaware | New York | 36025 | 1 | 0 |
1811 | 1811 | 2020-03-13 | Dutchess | New York | 36027 | 3 | 0 |
1812 | 1812 | 2020-03-13 | Herkimer | New York | 36043 | 1 | 0 |
1813 | 1813 | 2020-03-13 | Monroe | New York | 36055 | 1 | 0 |
1814 | 1814 | 2020-03-13 | Nassau | New York | 36059 | 51 | 0 |
1815 | 1815 | 2020-03-13 | New York City | New York | 155 | 0 | |
1816 | 1816 | 2020-03-13 | Orange | New York | 36071 | 3 | 0 |
1817 | 1817 | 2020-03-13 | Rockland | New York | 36087 | 9 | 0 |
1818 | 1818 | 2020-03-13 | Saratoga | New York | 36091 | 3 | 0 |
1819 | 1819 | 2020-03-13 | Schenectady | New York | 36093 | 1 | 0 |
1820 | 1820 | 2020-03-13 | Suffolk | New York | 36103 | 29 | 0 |
1821 | 1821 | 2020-03-13 | Ulster | New York | 36111 | 5 | 0 |
1822 | 1822 | 2020-03-13 | Westchester | New York | 36119 | 157 | 0 |
2157 | 2157 | 2020-03-14 | Albany | New York | 36001 | 5 | 0 |
2158 | 2158 | 2020-03-14 | Broome | New York | 36007 | 1 | 0 |
2159 | 2159 | 2020-03-14 | Delaware | New York | 36025 | 1 | 0 |
2160 | 2160 | 2020-03-14 | Dutchess | New York | 36027 | 4 | 0 |
2161 | 2161 | 2020-03-14 | Herkimer | New York | 36043 | 1 | 0 |
2162 | 2162 | 2020-03-14 | Monroe | New York | 36055 | 2 | 0 |
2163 | 2163 | 2020-03-14 | Nassau | New York | 36059 | 79 | 0 |
2164 | 2164 | 2020-03-14 | New York City | New York | 269 | 1 | |
2165 | 2165 | 2020-03-14 | Orange | New York | 36071 | 6 | 0 |
2166 | 2166 | 2020-03-14 | Rockland | New York | 36087 | 12 | 1 |
2167 | 2167 | 2020-03-14 | Saratoga | New York | 36091 | 3 | 0 |
2168 | 2168 | 2020-03-14 | Schenectady | New York | 36093 | 1 | 0 |
2169 | 2169 | 2020-03-14 | Suffolk | New York | 36103 | 41 | 0 |
2170 | 2170 | 2020-03-14 | Tioga | New York | 36107 | 1 | 0 |
2171 | 2171 | 2020-03-14 | Tompkins | New York | 36109 | 1 | 0 |
2172 | 2172 | 2020-03-14 | Ulster | New York | 36111 | 5 | 0 |
2173 | 2173 | 2020-03-14 | Westchester | New York | 36119 | 178 | 0 |
2565 | 2565 | 2020-03-15 | Albany | New York | 36001 | 11 | 0 |
2566 | 2566 | 2020-03-15 | Broome | New York | 36007 | 1 | 0 |
2567 | 2567 | 2020-03-15 | Delaware | New York | 36025 | 1 | 0 |
2568 | 2568 | 2020-03-15 | Dutchess | New York | 36027 | 7 | 0 |
2569 | 2569 | 2020-03-15 | Erie | New York | 36029 | 3 | 0 |
2570 | 2570 | 2020-03-15 | Greene | New York | 36039 | 2 | 0 |
2571 | 2571 | 2020-03-15 | Herkimer | New York | 36043 | 1 | 0 |
2572 | 2572 | 2020-03-15 | Monroe | New York | 36055 | 2 | 0 |
2573 | 2573 | 2020-03-15 | Montgomery | New York | 36057 | 1 | 0 |
2574 | 2574 | 2020-03-15 | Nassau | New York | 36059 | 98 | 0 |
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);