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 2019-10-12
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21603 | 21603 | United States | Alabama | AL | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 4903185 | 908 | 0 | 1012 | weekly | |
21911 | 21911 | United States | Alaska | AK | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 731545 | 91 | 0 | 96 | weekly | |
22219 | 22219 | United States | Arizona | AZ | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 7278717 | 1117 | 0 | 1141 | weekly | |
22527 | 22527 | United States | Arkansas | AR | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 3017825 | 590 | 0 | 607 | weekly | |
22835 | 22835 | United States | California | CA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 39512223 | 4923 | 0 | 5312 | weekly | |
23143 | 23143 | United States | Colorado | CO | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 5758736 | 769 | 0 | 796 | weekly | |
23451 | 23451 | United States | Connecticut | CT | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 3565287 | 576 | 0 | 597 | weekly | |
23759 | 23759 | United States | Delaware | DE | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 973764 | 170 | 0 | 191 | weekly | |
24067 | 24067 | United States | District of Columbia | DC | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 705749 | 127 | 0 | 132 | weekly | |
24375 | 24375 | United States | Florida | FL | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 21477737 | 3862 | 0 | 4055 | weekly | |
24683 | 24683 | United States | Georgia | GA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 10617423 | 1586 | 0 | 1649 | weekly | |
24991 | 24991 | United States | Hawaii | HI | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1415872 | 195 | 0 | 213 | weekly | |
25299 | 25299 | United States | Idaho | ID | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1787065 | 249 | 0 | 281 | weekly | |
25607 | 25607 | United States | Illinois | IL | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 12671821 | 2023 | 0 | 2082 | weekly | |
25915 | 25915 | United States | Indiana | IN | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 6732219 | 1246 | 0 | 1312 | weekly | |
26223 | 26223 | United States | Iowa | IA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 3155070 | 592 | 0 | 579 | weekly | |
26531 | 26531 | United States | Kansas | KS | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 2913314 | 490 | 0 | 512 | weekly | |
26839 | 26839 | United States | Kentucky | KY | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 4467673 | 903 | 0 | 985 | weekly | |
27147 | 27147 | United States | Louisiana | LA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 4648794 | 880 | 0 | 835 | weekly | |
27455 | 27455 | United States | Maine | ME | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1344212 | 280 | 0 | 295 | weekly | |
27763 | 27763 | United States | Maryland | MD | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 6045680 | 940 | 0 | 993 | weekly | |
28071 | 28071 | United States | Massachusetts | MA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 6949503 | 1096 | 0 | 1153 | weekly | |
28379 | 28379 | United States | Michigan | MI | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 9986857 | 1808 | 0 | 1886 | weekly | |
28687 | 28687 | United States | Minnesota | MN | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 5639632 | 916 | 0 | 898 | weekly | |
28995 | 28995 | United States | Mississippi | MS | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 2976149 | 574 | 0 | 602 | weekly | |
29303 | 29303 | United States | Missouri | MO | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 6137428 | 1163 | 0 | 1255 | weekly | |
29611 | 29611 | United States | Montana | MT | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1068778 | 201 | 0 | 211 | weekly | |
29919 | 29919 | United States | Nebraska | NE | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1934408 | 366 | 0 | 329 | weekly | |
30227 | 30227 | United States | Nevada | NV | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 3080156 | 526 | 0 | 522 | weekly | |
30535 | 30535 | United States | New Hampshire | NH | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1359711 | 227 | 0 | 250 | weekly | |
30843 | 30843 | United States | New Jersey | NJ | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 8882190 | 1409 | 0 | 1413 | weekly | |
31151 | 31151 | United States | New Mexico | NM | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 2096829 | 358 | 0 | 349 | weekly | |
31459 | 31459 | United States | New York | NY | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 19453561 | 2998 | 0 | 2954 | weekly | |
31767 | 31767 | United States | North Carolina | NC | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 10488084 | 1748 | 0 | 1897 | weekly | |
32075 | 32075 | United States | North Dakota | ND | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 762062 | 127 | 0 | 135 | weekly | |
32383 | 32383 | United States | Ohio | OH | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 11689100 | 2360 | 0 | 2468 | weekly | |
32691 | 32691 | United States | Oklahoma | OK | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 3956971 | 718 | 0 | 730 | weekly | |
32999 | 32999 | United States | Oregon | OR | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 4217737 | 689 | 0 | 745 | weekly | |
33307 | 33307 | United States | Pennsylvania | PA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 12801989 | 2484 | 0 | 2684 | weekly | |
33615 | 33615 | United States | Rhode Island | RI | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1059361 | 201 | 0 | 196 | weekly | |
33923 | 33923 | United States | South Carolina | SC | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 5148714 | 901 | 0 | 952 | weekly | |
34231 | 34231 | United States | South Dakota | SD | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 884659 | 148 | 0 | 170 | weekly | |
34539 | 34539 | United States | Tennessee | TN | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 6833174 | 1366 | 0 | 1445 | weekly | |
34847 | 34847 | United States | Texas | TX | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 28995881 | 3874 | 0 | 3830 | weekly | |
35155 | 35155 | United States | Utah | UT | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 3205958 | 370 | 0 | 381 | weekly | |
35463 | 35463 | United States | Vermont | VT | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 623989 | 105 | 0 | 114 | weekly | |
35771 | 35771 | United States | Virginia | VA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 8535519 | 1244 | 0 | 1332 | weekly | |
36079 | 36079 | United States | Washington | WA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 7614893 | 1110 | 0 | 1143 | weekly | |
36387 | 36387 | United States | West Virginia | WV | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 1792147 | 441 | 0 | 439 | weekly | |
36695 | 36695 | United States | Wisconsin | WI | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 5822434 | 1093 | 0 | 1034 | weekly | |
37003 | 37003 | United States | Wyoming | WY | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 578759 | 85 | 0 | 81 | weekly | |
37311 | 37311 | United States | United States | USA | 2019-10-06 | 2019-10-12 | 7 | 2019 | 41 | 328300544 | 53223 | 0 | 55273 | 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]);