economist_historical_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
52 rows where "end_date" is on date 2019-09-28
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: expected_deaths
Link | rowid ▼ | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21601 | 21601 | United States | Alabama | AL | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 4903185 | 987 | 0 | 1000 | weekly | |
21909 | 21909 | United States | Alaska | AK | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 731545 | 82 | 0 | 94 | weekly | |
22217 | 22217 | United States | Arizona | AZ | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 7278717 | 1159 | 0 | 1133 | weekly | |
22525 | 22525 | United States | Arkansas | AR | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 3017825 | 598 | 0 | 599 | weekly | |
22833 | 22833 | United States | California | CA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 39512223 | 4832 | 0 | 5257 | weekly | |
23141 | 23141 | United States | Colorado | CO | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 5758736 | 712 | 0 | 785 | weekly | |
23449 | 23449 | United States | Connecticut | CT | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 3565287 | 563 | 0 | 587 | weekly | |
23757 | 23757 | United States | Delaware | DE | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 973764 | 183 | 0 | 188 | weekly | |
24065 | 24065 | United States | District of Columbia | DC | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 705749 | 116 | 0 | 132 | weekly | |
24373 | 24373 | United States | Florida | FL | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 21477737 | 3744 | 0 | 4009 | weekly | |
24681 | 24681 | United States | Georgia | GA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 10617423 | 1651 | 0 | 1627 | weekly | |
24989 | 24989 | United States | Hawaii | HI | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1415872 | 193 | 0 | 219 | weekly | |
25297 | 25297 | United States | Idaho | ID | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1787065 | 272 | 0 | 279 | weekly | |
25605 | 25605 | United States | Illinois | IL | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 12671821 | 2004 | 0 | 2055 | weekly | |
25913 | 25913 | United States | Indiana | IN | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 6732219 | 1232 | 0 | 1291 | weekly | |
26221 | 26221 | United States | Iowa | IA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 3155070 | 559 | 0 | 567 | weekly | |
26529 | 26529 | United States | Kansas | KS | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 2913314 | 498 | 0 | 511 | weekly | |
26837 | 26837 | United States | Kentucky | KY | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 4467673 | 929 | 0 | 981 | weekly | |
27145 | 27145 | United States | Louisiana | LA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 4648794 | 797 | 0 | 829 | weekly | |
27453 | 27453 | United States | Maine | ME | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1344212 | 287 | 0 | 292 | weekly | |
27761 | 27761 | United States | Maryland | MD | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 6045680 | 916 | 0 | 986 | weekly | |
28069 | 28069 | United States | Massachusetts | MA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 6949503 | 1114 | 0 | 1141 | weekly | |
28377 | 28377 | United States | Michigan | MI | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 9986857 | 1854 | 0 | 1866 | weekly | |
28685 | 28685 | United States | Minnesota | MN | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 5639632 | 883 | 0 | 879 | weekly | |
28993 | 28993 | United States | Mississippi | MS | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 2976149 | 580 | 0 | 601 | weekly | |
29301 | 29301 | United States | Missouri | MO | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 6137428 | 1254 | 0 | 1234 | weekly | |
29609 | 29609 | United States | Montana | MT | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1068778 | 197 | 0 | 209 | weekly | |
29917 | 29917 | United States | Nebraska | NE | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1934408 | 327 | 0 | 329 | weekly | |
30225 | 30225 | United States | Nevada | NV | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 3080156 | 497 | 0 | 521 | weekly | |
30533 | 30533 | United States | New Hampshire | NH | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1359711 | 235 | 0 | 247 | weekly | |
30841 | 30841 | United States | New Jersey | NJ | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 8882190 | 1316 | 0 | 1392 | weekly | |
31149 | 31149 | United States | New Mexico | NM | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 2096829 | 344 | 0 | 349 | weekly | |
31457 | 31457 | United States | New York | NY | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 19453561 | 2868 | 0 | 2931 | weekly | |
31765 | 31765 | United States | North Carolina | NC | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 10488084 | 1822 | 0 | 1861 | weekly | |
32073 | 32073 | United States | North Dakota | ND | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 762062 | 156 | 0 | 132 | weekly | |
32381 | 32381 | United States | Ohio | OH | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 11689100 | 2258 | 0 | 2419 | weekly | |
32689 | 32689 | United States | Oklahoma | OK | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 3956971 | 717 | 0 | 726 | weekly | |
32997 | 32997 | United States | Oregon | OR | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 4217737 | 714 | 0 | 732 | weekly | |
33305 | 33305 | United States | Pennsylvania | PA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 12801989 | 2480 | 0 | 2643 | weekly | |
33613 | 33613 | United States | Rhode Island | RI | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1059361 | 209 | 0 | 192 | weekly | |
33921 | 33921 | United States | South Carolina | SC | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 5148714 | 938 | 0 | 941 | weekly | |
34229 | 34229 | United States | South Dakota | SD | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 884659 | 164 | 0 | 169 | weekly | |
34537 | 34537 | United States | Tennessee | TN | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 6833174 | 1390 | 0 | 1425 | weekly | |
34845 | 34845 | United States | Texas | TX | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 28995881 | 3807 | 0 | 3808 | weekly | |
35153 | 35153 | United States | Utah | UT | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 3205958 | 375 | 0 | 372 | weekly | |
35461 | 35461 | United States | Vermont | VT | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 623989 | 125 | 0 | 112 | weekly | |
35769 | 35769 | United States | Virginia | VA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 8535519 | 1332 | 0 | 1309 | weekly | |
36077 | 36077 | United States | Washington | WA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 7614893 | 1038 | 0 | 1119 | weekly | |
36385 | 36385 | United States | West Virginia | WV | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 1792147 | 422 | 0 | 430 | weekly | |
36693 | 36693 | United States | Wisconsin | WI | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 5822434 | 1043 | 0 | 1016 | weekly | |
37001 | 37001 | United States | Wyoming | WY | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 578759 | 105 | 0 | 81 | weekly | |
37309 | 37309 | United States | United States | USA | 2019-09-22 | 2019-09-28 | 7 | 2019 | 39 | 328300544 | 52878 | 0 | 54607 | weekly |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [economist_historical_deaths] ( [country] TEXT, [region] TEXT, [region_code] INTEGER, [start_date] TEXT, [end_date] TEXT, [days] INTEGER, [year] INTEGER, [week] INTEGER, [population] INTEGER, [total_deaths] INTEGER, [covid_deaths] INTEGER, [expected_deaths] TEXT, [cadence] TEXT , [month] INTEGER); CREATE INDEX [idx_economist_historical_deaths_country] ON [economist_historical_deaths] ([country]); CREATE INDEX [idx_economist_historical_deaths_cadence] ON [economist_historical_deaths] ([cadence]); CREATE INDEX [idx_economist_historical_deaths_end_date] ON [economist_historical_deaths] ([end_date]);