economist_historical_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
52 rows where "start_date" is on date 2019-10-27 sorted by cadence
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: end_date (date)
Link | rowid | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence ▼ | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21606 | 21606 | United States | Alabama | AL | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 4903185 | 937 | 0 | 1037 | weekly | |
21914 | 21914 | United States | Alaska | AK | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 731545 | 81 | 0 | 94 | weekly | |
22222 | 22222 | United States | Arizona | AZ | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 7278717 | 1121 | 0 | 1169 | weekly | |
22530 | 22530 | United States | Arkansas | AR | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 3017825 | 595 | 0 | 617 | weekly | |
22838 | 22838 | United States | California | CA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 39512223 | 5135 | 0 | 5442 | weekly | |
23146 | 23146 | United States | Colorado | CO | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 5758736 | 752 | 0 | 818 | weekly | |
23454 | 23454 | United States | Connecticut | CT | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 3565287 | 611 | 0 | 614 | weekly | |
23762 | 23762 | United States | Delaware | DE | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 973764 | 160 | 0 | 195 | weekly | |
24070 | 24070 | United States | District of Columbia | DC | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 705749 | 138 | 0 | 136 | weekly | |
24378 | 24378 | United States | Florida | FL | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 21477737 | 3886 | 0 | 4123 | weekly | |
24686 | 24686 | United States | Georgia | GA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 10617423 | 1665 | 0 | 1693 | weekly | |
24994 | 24994 | United States | Hawaii | HI | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1415872 | 205 | 0 | 213 | weekly | |
25302 | 25302 | United States | Idaho | ID | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1787065 | 299 | 0 | 283 | weekly | |
25610 | 25610 | United States | Illinois | IL | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 12671821 | 2021 | 0 | 2106 | weekly | |
25918 | 25918 | United States | Indiana | IN | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 6732219 | 1341 | 0 | 1345 | weekly | |
26226 | 26226 | United States | Iowa | IA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 3155070 | 615 | 0 | 589 | weekly | |
26534 | 26534 | United States | Kansas | KS | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 2913314 | 495 | 0 | 522 | weekly | |
26842 | 26842 | United States | Kentucky | KY | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 4467673 | 894 | 0 | 1008 | weekly | |
27150 | 27150 | United States | Louisiana | LA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 4648794 | 821 | 0 | 853 | weekly | |
27458 | 27458 | United States | Maine | ME | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1344212 | 309 | 0 | 307 | weekly | |
27766 | 27766 | United States | Maryland | MD | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 6045680 | 940 | 0 | 1023 | weekly | |
28074 | 28074 | United States | Massachusetts | MA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 6949503 | 1108 | 0 | 1174 | weekly | |
28382 | 28382 | United States | Michigan | MI | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 9986857 | 1921 | 0 | 1929 | weekly | |
28690 | 28690 | United States | Minnesota | MN | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 5639632 | 873 | 0 | 911 | weekly | |
28998 | 28998 | United States | Mississippi | MS | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 2976149 | 597 | 0 | 608 | weekly | |
29306 | 29306 | United States | Missouri | MO | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 6137428 | 1264 | 0 | 1272 | weekly | |
29614 | 29614 | United States | Montana | MT | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1068778 | 189 | 0 | 209 | weekly | |
29922 | 29922 | United States | Nebraska | NE | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1934408 | 316 | 0 | 334 | weekly | |
30230 | 30230 | United States | Nevada | NV | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 3080156 | 492 | 0 | 531 | weekly | |
30538 | 30538 | United States | New Hampshire | NH | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1359711 | 252 | 0 | 252 | weekly | |
30846 | 30846 | United States | New Jersey | NJ | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 8882190 | 1324 | 0 | 1440 | weekly | |
31154 | 31154 | United States | New Mexico | NM | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 2096829 | 356 | 0 | 354 | weekly | |
31462 | 31462 | United States | New York | NY | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 19453561 | 2917 | 0 | 3011 | weekly | |
31770 | 31770 | United States | North Carolina | NC | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 10488084 | 1738 | 0 | 1939 | weekly | |
32078 | 32078 | United States | North Dakota | ND | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 762062 | 135 | 0 | 138 | weekly | |
32386 | 32386 | United States | Ohio | OH | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 11689100 | 2374 | 0 | 2529 | weekly | |
32694 | 32694 | United States | Oklahoma | OK | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 3956971 | 732 | 0 | 752 | weekly | |
33002 | 33002 | United States | Oregon | OR | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 4217737 | 714 | 0 | 757 | weekly | |
33310 | 33310 | United States | Pennsylvania | PA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 12801989 | 2602 | 0 | 2745 | weekly | |
33618 | 33618 | United States | Rhode Island | RI | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1059361 | 190 | 0 | 199 | weekly | |
33926 | 33926 | United States | South Carolina | SC | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 5148714 | 953 | 0 | 978 | weekly | |
34234 | 34234 | United States | South Dakota | SD | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 884659 | 169 | 0 | 175 | weekly | |
34542 | 34542 | United States | Tennessee | TN | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 6833174 | 1372 | 0 | 1479 | weekly | |
34850 | 34850 | United States | Texas | TX | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 28995881 | 4031 | 0 | 3904 | weekly | |
35158 | 35158 | United States | Utah | UT | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 3205958 | 368 | 0 | 391 | weekly | |
35466 | 35466 | United States | Vermont | VT | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 623989 | 109 | 0 | 118 | weekly | |
35774 | 35774 | United States | Virginia | VA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 8535519 | 1345 | 0 | 1369 | weekly | |
36082 | 36082 | United States | Washington | WA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 7614893 | 1150 | 0 | 1153 | weekly | |
36390 | 36390 | United States | West Virginia | WV | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 1792147 | 445 | 0 | 451 | weekly | |
36698 | 36698 | United States | Wisconsin | WI | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 5822434 | 1065 | 0 | 1052 | weekly | |
37006 | 37006 | United States | Wyoming | WY | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 578759 | 93 | 0 | 83 | weekly | |
37314 | 37314 | United States | United States | USA | 2019-10-27 | 2019-11-02 | 7 | 2019 | 44 | 328300544 | 54215 | 0 | 56424 | 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]);