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 2019-10-05 sorted by year
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | country | region | region_code | start_date | end_date | days | year ▼ | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21602 | 21602 | United States | Alabama | AL | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 4903185 | 958 | 0 | 1005 | weekly | |
21910 | 21910 | United States | Alaska | AK | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 731545 | 93 | 0 | 96 | weekly | |
22218 | 22218 | United States | Arizona | AZ | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 7278717 | 1102 | 0 | 1137 | weekly | |
22526 | 22526 | United States | Arkansas | AR | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 3017825 | 564 | 0 | 602 | weekly | |
22834 | 22834 | United States | California | CA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 39512223 | 4966 | 0 | 5293 | weekly | |
23142 | 23142 | United States | Colorado | CO | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 5758736 | 730 | 0 | 790 | weekly | |
23450 | 23450 | United States | Connecticut | CT | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 3565287 | 579 | 0 | 590 | weekly | |
23758 | 23758 | United States | Delaware | DE | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 973764 | 178 | 0 | 189 | weekly | |
24066 | 24066 | United States | District of Columbia | DC | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 705749 | 96 | 0 | 132 | weekly | |
24374 | 24374 | United States | Florida | FL | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 21477737 | 3832 | 0 | 4032 | weekly | |
24682 | 24682 | United States | Georgia | GA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 10617423 | 1593 | 0 | 1637 | weekly | |
24990 | 24990 | United States | Hawaii | HI | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1415872 | 229 | 0 | 216 | weekly | |
25298 | 25298 | United States | Idaho | ID | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1787065 | 267 | 0 | 281 | weekly | |
25606 | 25606 | United States | Illinois | IL | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 12671821 | 1970 | 0 | 2070 | weekly | |
25914 | 25914 | United States | Indiana | IN | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 6732219 | 1190 | 0 | 1299 | weekly | |
26222 | 26222 | United States | Iowa | IA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 3155070 | 613 | 0 | 575 | weekly | |
26530 | 26530 | United States | Kansas | KS | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 2913314 | 497 | 0 | 511 | weekly | |
26838 | 26838 | United States | Kentucky | KY | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 4467673 | 883 | 0 | 979 | weekly | |
27146 | 27146 | United States | Louisiana | LA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 4648794 | 791 | 0 | 830 | weekly | |
27454 | 27454 | United States | Maine | ME | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1344212 | 267 | 0 | 293 | weekly | |
27762 | 27762 | United States | Maryland | MD | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 6045680 | 891 | 0 | 989 | weekly | |
28070 | 28070 | United States | Massachusetts | MA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 6949503 | 1122 | 0 | 1148 | weekly | |
28378 | 28378 | United States | Michigan | MI | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 9986857 | 1825 | 0 | 1883 | weekly | |
28686 | 28686 | United States | Minnesota | MN | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 5639632 | 879 | 0 | 889 | weekly | |
28994 | 28994 | United States | Mississippi | MS | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 2976149 | 588 | 0 | 601 | weekly | |
29302 | 29302 | United States | Missouri | MO | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 6137428 | 1163 | 0 | 1243 | weekly | |
29610 | 29610 | United States | Montana | MT | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1068778 | 210 | 0 | 211 | weekly | |
29918 | 29918 | United States | Nebraska | NE | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1934408 | 321 | 0 | 329 | weekly | |
30226 | 30226 | United States | Nevada | NV | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 3080156 | 471 | 0 | 523 | weekly | |
30534 | 30534 | United States | New Hampshire | NH | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1359711 | 235 | 0 | 248 | weekly | |
30842 | 30842 | United States | New Jersey | NJ | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 8882190 | 1356 | 0 | 1408 | weekly | |
31150 | 31150 | United States | New Mexico | NM | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 2096829 | 376 | 0 | 348 | weekly | |
31458 | 31458 | United States | New York | NY | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 19453561 | 2922 | 0 | 2947 | weekly | |
31766 | 31766 | United States | North Carolina | NC | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 10488084 | 1850 | 0 | 1879 | weekly | |
32074 | 32074 | United States | North Dakota | ND | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 762062 | 139 | 0 | 133 | weekly | |
32382 | 32382 | United States | Ohio | OH | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 11689100 | 2264 | 0 | 2439 | weekly | |
32690 | 32690 | United States | Oklahoma | OK | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 3956971 | 703 | 0 | 729 | weekly | |
32998 | 32998 | United States | Oregon | OR | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 4217737 | 734 | 0 | 734 | weekly | |
33306 | 33306 | United States | Pennsylvania | PA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 12801989 | 2424 | 0 | 2656 | weekly | |
33614 | 33614 | United States | Rhode Island | RI | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1059361 | 203 | 0 | 195 | weekly | |
33922 | 33922 | United States | South Carolina | SC | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 5148714 | 940 | 0 | 947 | weekly | |
34230 | 34230 | United States | South Dakota | SD | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 884659 | 162 | 0 | 170 | weekly | |
34538 | 34538 | United States | Tennessee | TN | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 6833174 | 1387 | 0 | 1432 | weekly | |
34846 | 34846 | United States | Texas | TX | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 28995881 | 3860 | 0 | 3805 | weekly | |
35154 | 35154 | United States | Utah | UT | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 3205958 | 335 | 0 | 377 | weekly | |
35462 | 35462 | United States | Vermont | VT | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 623989 | 101 | 0 | 113 | weekly | |
35770 | 35770 | United States | Virginia | VA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 8535519 | 1264 | 0 | 1320 | weekly | |
36078 | 36078 | United States | Washington | WA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 7614893 | 1069 | 0 | 1133 | weekly | |
36386 | 36386 | United States | West Virginia | WV | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 1792147 | 437 | 0 | 435 | weekly | |
36694 | 36694 | United States | Wisconsin | WI | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 5822434 | 966 | 0 | 1025 | weekly | |
37002 | 37002 | United States | Wyoming | WY | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 578759 | 88 | 0 | 81 | weekly | |
37310 | 37310 | United States | United States | USA | 2019-09-29 | 2019-10-05 | 7 | 2019 | 40 | 328300544 | 52683 | 0 | 54927 | 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]);