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 2019-10-19
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21604 | 21604 | United States | Alabama | AL | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 4903185 | 1010 | 0 | 1022 | weekly | |
21912 | 21912 | United States | Alaska | AK | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 731545 | 94 | 0 | 96 | weekly | |
22220 | 22220 | United States | Arizona | AZ | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 7278717 | 1139 | 0 | 1148 | weekly | |
22528 | 22528 | United States | Arkansas | AR | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 3017825 | 610 | 0 | 611 | weekly | |
22836 | 22836 | United States | California | CA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 39512223 | 5065 | 0 | 5335 | weekly | |
23144 | 23144 | United States | Colorado | CO | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 5758736 | 817 | 0 | 802 | weekly | |
23452 | 23452 | United States | Connecticut | CT | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 3565287 | 603 | 0 | 604 | weekly | |
23760 | 23760 | United States | Delaware | DE | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 973764 | 163 | 0 | 192 | weekly | |
24068 | 24068 | United States | District of Columbia | DC | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 705749 | 129 | 0 | 133 | weekly | |
24376 | 24376 | United States | Florida | FL | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 21477737 | 3753 | 0 | 4078 | weekly | |
24684 | 24684 | United States | Georgia | GA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 10617423 | 1593 | 0 | 1659 | weekly | |
24992 | 24992 | United States | Hawaii | HI | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1415872 | 226 | 0 | 214 | weekly | |
25300 | 25300 | United States | Idaho | ID | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1787065 | 280 | 0 | 282 | weekly | |
25608 | 25608 | United States | Illinois | IL | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 12671821 | 2124 | 0 | 2096 | weekly | |
25916 | 25916 | United States | Indiana | IN | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 6732219 | 1266 | 0 | 1325 | weekly | |
26224 | 26224 | United States | Iowa | IA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 3155070 | 595 | 0 | 581 | weekly | |
26532 | 26532 | United States | Kansas | KS | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 2913314 | 518 | 0 | 511 | weekly | |
26840 | 26840 | United States | Kentucky | KY | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 4467673 | 967 | 0 | 998 | weekly | |
27148 | 27148 | United States | Louisiana | LA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 4648794 | 915 | 0 | 842 | weekly | |
27456 | 27456 | United States | Maine | ME | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1344212 | 277 | 0 | 298 | weekly | |
27764 | 27764 | United States | Maryland | MD | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 6045680 | 983 | 0 | 1002 | weekly | |
28072 | 28072 | United States | Massachusetts | MA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 6949503 | 1128 | 0 | 1161 | weekly | |
28380 | 28380 | United States | Michigan | MI | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 9986857 | 1939 | 0 | 1907 | weekly | |
28688 | 28688 | United States | Minnesota | MN | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 5639632 | 892 | 0 | 899 | weekly | |
28996 | 28996 | United States | Mississippi | MS | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 2976149 | 564 | 0 | 608 | weekly | |
29304 | 29304 | United States | Missouri | MO | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 6137428 | 1199 | 0 | 1254 | weekly | |
29612 | 29612 | United States | Montana | MT | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1068778 | 203 | 0 | 209 | weekly | |
29920 | 29920 | United States | Nebraska | NE | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1934408 | 326 | 0 | 332 | weekly | |
30228 | 30228 | United States | Nevada | NV | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 3080156 | 420 | 0 | 522 | weekly | |
30536 | 30536 | United States | New Hampshire | NH | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1359711 | 251 | 0 | 252 | weekly | |
30844 | 30844 | United States | New Jersey | NJ | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 8882190 | 1406 | 0 | 1419 | weekly | |
31152 | 31152 | United States | New Mexico | NM | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 2096829 | 328 | 0 | 352 | weekly | |
31460 | 31460 | United States | New York | NY | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 19453561 | 3000 | 0 | 2968 | weekly | |
31768 | 31768 | United States | North Carolina | NC | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 10488084 | 1814 | 0 | 1909 | weekly | |
32076 | 32076 | United States | North Dakota | ND | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 762062 | 162 | 0 | 136 | weekly | |
32384 | 32384 | United States | Ohio | OH | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 11689100 | 2315 | 0 | 2487 | weekly | |
32692 | 32692 | United States | Oklahoma | OK | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 3956971 | 784 | 0 | 737 | weekly | |
33000 | 33000 | United States | Oregon | OR | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 4217737 | 741 | 0 | 748 | weekly | |
33308 | 33308 | United States | Pennsylvania | PA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 12801989 | 2670 | 0 | 2700 | weekly | |
33616 | 33616 | United States | Rhode Island | RI | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1059361 | 203 | 0 | 194 | weekly | |
33924 | 33924 | United States | South Carolina | SC | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 5148714 | 891 | 0 | 962 | weekly | |
34232 | 34232 | United States | South Dakota | SD | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 884659 | 166 | 0 | 170 | weekly | |
34540 | 34540 | United States | Tennessee | TN | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 6833174 | 1441 | 0 | 1456 | weekly | |
34848 | 34848 | United States | Texas | TX | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 28995881 | 3953 | 0 | 3867 | weekly | |
35156 | 35156 | United States | Utah | UT | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 3205958 | 367 | 0 | 380 | weekly | |
35464 | 35464 | United States | Vermont | VT | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 623989 | 115 | 0 | 114 | weekly | |
35772 | 35772 | United States | Virginia | VA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 8535519 | 1293 | 0 | 1347 | weekly | |
36080 | 36080 | United States | Washington | WA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 7614893 | 1084 | 0 | 1139 | weekly | |
36388 | 36388 | United States | West Virginia | WV | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 1792147 | 469 | 0 | 442 | weekly | |
36696 | 36696 | United States | Wisconsin | WI | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 5822434 | 1096 | 0 | 1049 | weekly | |
37004 | 37004 | United States | Wyoming | WY | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 578759 | 95 | 0 | 81 | weekly | |
37312 | 37312 | United States | United States | USA | 2019-10-13 | 2019-10-19 | 7 | 2019 | 42 | 328300544 | 54442 | 0 | 55630 | 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]);