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 2019-11-23
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: total_deaths
Link | rowid ▼ | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21609 | 21609 | United States | Alabama | AL | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 4903185 | 1044 | 0 | 1074 | weekly | |
21917 | 21917 | United States | Alaska | AK | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 731545 | 92 | 0 | 96 | weekly | |
22225 | 22225 | United States | Arizona | AZ | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 7278717 | 1220 | 0 | 1212 | weekly | |
22533 | 22533 | United States | Arkansas | AR | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 3017825 | 643 | 0 | 634 | weekly | |
22841 | 22841 | United States | California | CA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 39512223 | 5165 | 0 | 5593 | weekly | |
23149 | 23149 | United States | Colorado | CO | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 5758736 | 763 | 0 | 838 | weekly | |
23457 | 23457 | United States | Connecticut | CT | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 3565287 | 643 | 0 | 622 | weekly | |
23765 | 23765 | United States | Delaware | DE | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 973764 | 172 | 0 | 196 | weekly | |
24073 | 24073 | United States | District of Columbia | DC | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 705749 | 122 | 0 | 141 | weekly | |
24381 | 24381 | United States | Florida | FL | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 21477737 | 4055 | 0 | 4212 | weekly | |
24689 | 24689 | United States | Georgia | GA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 10617423 | 1798 | 0 | 1748 | weekly | |
24997 | 24997 | United States | Hawaii | HI | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1415872 | 204 | 0 | 214 | weekly | |
25305 | 25305 | United States | Idaho | ID | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1787065 | 238 | 0 | 286 | weekly | |
25613 | 25613 | United States | Illinois | IL | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 12671821 | 2024 | 0 | 2160 | weekly | |
25921 | 25921 | United States | Indiana | IN | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 6732219 | 1321 | 0 | 1376 | weekly | |
26229 | 26229 | United States | Iowa | IA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 3155070 | 631 | 0 | 612 | weekly | |
26537 | 26537 | United States | Kansas | KS | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 2913314 | 547 | 0 | 534 | weekly | |
26845 | 26845 | United States | Kentucky | KY | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 4467673 | 1009 | 0 | 1038 | weekly | |
27153 | 27153 | United States | Louisiana | LA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 4648794 | 896 | 0 | 869 | weekly | |
27461 | 27461 | United States | Maine | ME | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1344212 | 289 | 0 | 304 | weekly | |
27769 | 27769 | United States | Maryland | MD | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 6045680 | 1036 | 0 | 1049 | weekly | |
28077 | 28077 | United States | Massachusetts | MA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 6949503 | 1231 | 0 | 1193 | weekly | |
28385 | 28385 | United States | Michigan | MI | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 9986857 | 1974 | 0 | 1950 | weekly | |
28693 | 28693 | United States | Minnesota | MN | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 5639632 | 890 | 0 | 924 | weekly | |
29001 | 29001 | United States | Mississippi | MS | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 2976149 | 636 | 0 | 623 | weekly | |
29309 | 29309 | United States | Missouri | MO | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 6137428 | 1313 | 0 | 1304 | weekly | |
29617 | 29617 | United States | Montana | MT | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1068778 | 181 | 0 | 213 | weekly | |
29925 | 29925 | United States | Nebraska | NE | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1934408 | 341 | 0 | 340 | weekly | |
30233 | 30233 | United States | Nevada | NV | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 3080156 | 513 | 0 | 548 | weekly | |
30541 | 30541 | United States | New Hampshire | NH | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1359711 | 268 | 0 | 254 | weekly | |
30849 | 30849 | United States | New Jersey | NJ | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 8882190 | 1497 | 0 | 1469 | weekly | |
31157 | 31157 | United States | New Mexico | NM | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 2096829 | 352 | 0 | 371 | weekly | |
31465 | 31465 | United States | New York | NY | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 19453561 | 3018 | 0 | 3053 | weekly | |
31773 | 31773 | United States | North Carolina | NC | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 10488084 | 1902 | 0 | 1983 | weekly | |
32081 | 32081 | United States | North Dakota | ND | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 762062 | 150 | 0 | 138 | weekly | |
32389 | 32389 | United States | Ohio | OH | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 11689100 | 2420 | 0 | 2571 | weekly | |
32697 | 32697 | United States | Oklahoma | OK | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 3956971 | 780 | 0 | 776 | weekly | |
33005 | 33005 | United States | Oregon | OR | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 4217737 | 702 | 0 | 773 | weekly | |
33313 | 33313 | United States | Pennsylvania | PA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 12801989 | 2608 | 0 | 2770 | weekly | |
33621 | 33621 | United States | Rhode Island | RI | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1059361 | 233 | 0 | 206 | weekly | |
33929 | 33929 | United States | South Carolina | SC | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 5148714 | 963 | 0 | 1004 | weekly | |
34237 | 34237 | United States | South Dakota | SD | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 884659 | 175 | 0 | 177 | weekly | |
34545 | 34545 | United States | Tennessee | TN | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 6833174 | 1498 | 0 | 1505 | weekly | |
34853 | 34853 | United States | Texas | TX | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 28995881 | 4225 | 0 | 4056 | weekly | |
35161 | 35161 | United States | Utah | UT | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 3205958 | 409 | 0 | 396 | weekly | |
35469 | 35469 | United States | Vermont | VT | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 623989 | 113 | 0 | 121 | weekly | |
35777 | 35777 | United States | Virginia | VA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 8535519 | 1326 | 0 | 1403 | weekly | |
36085 | 36085 | United States | Washington | WA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 7614893 | 1073 | 0 | 1176 | weekly | |
36393 | 36393 | United States | West Virginia | WV | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 1792147 | 461 | 0 | 458 | weekly | |
36701 | 36701 | United States | Wisconsin | WI | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 5822434 | 1074 | 0 | 1081 | weekly | |
37009 | 37009 | United States | Wyoming | WY | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 578759 | 83 | 0 | 84 | weekly | |
37317 | 37317 | United States | United States | USA | 2019-11-17 | 2019-11-23 | 7 | 2019 | 47 | 328300544 | 56321 | 0 | 57728 | 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]);