economist_historical_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
52 rows where cadence = "weekly" and "end_date" is on date 2019-08-31
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: end_date (date)
country 1
cadence 1
- weekly · 52 ✖
Link | rowid ▼ | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21597 | 21597 | United States | Alabama | AL | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 4903185 | 975 | 0 | 989 | weekly | |
21905 | 21905 | United States | Alaska | AK | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 731545 | 82 | 0 | 94 | weekly | |
22213 | 22213 | United States | Arizona | AZ | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 7278717 | 1151 | 0 | 1135 | weekly | |
22521 | 22521 | United States | Arkansas | AR | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 3017825 | 557 | 0 | 590 | weekly | |
22829 | 22829 | United States | California | CA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 39512223 | 4800 | 0 | 5209 | weekly | |
23137 | 23137 | United States | Colorado | CO | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 5758736 | 699 | 0 | 772 | weekly | |
23445 | 23445 | United States | Connecticut | CT | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 3565287 | 591 | 0 | 569 | weekly | |
23753 | 23753 | United States | Delaware | DE | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 973764 | 176 | 0 | 185 | weekly | |
24061 | 24061 | United States | District of Columbia | DC | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 705749 | 118 | 0 | 128 | weekly | |
24369 | 24369 | United States | Florida | FL | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 21477737 | 3722 | 0 | 3994 | weekly | |
24677 | 24677 | United States | Georgia | GA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 10617423 | 1553 | 0 | 1611 | weekly | |
24985 | 24985 | United States | Hawaii | HI | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1415872 | 207 | 0 | 219 | weekly | |
25293 | 25293 | United States | Idaho | ID | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1787065 | 273 | 0 | 274 | weekly | |
25601 | 25601 | United States | Illinois | IL | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 12671821 | 1907 | 0 | 2012 | weekly | |
25909 | 25909 | United States | Indiana | IN | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 6732219 | 1147 | 0 | 1260 | weekly | |
26217 | 26217 | United States | Iowa | IA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 3155070 | 535 | 0 | 560 | weekly | |
26525 | 26525 | United States | Kansas | KS | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 2913314 | 442 | 0 | 499 | weekly | |
26833 | 26833 | United States | Kentucky | KY | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 4467673 | 865 | 0 | 967 | weekly | |
27141 | 27141 | United States | Louisiana | LA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 4648794 | 900 | 0 | 816 | weekly | |
27449 | 27449 | United States | Maine | ME | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1344212 | 272 | 0 | 285 | weekly | |
27757 | 27757 | United States | Maryland | MD | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 6045680 | 916 | 0 | 968 | weekly | |
28065 | 28065 | United States | Massachusetts | MA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 6949503 | 1075 | 0 | 1109 | weekly | |
28373 | 28373 | United States | Michigan | MI | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 9986857 | 1733 | 0 | 1828 | weekly | |
28681 | 28681 | United States | Minnesota | MN | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 5639632 | 823 | 0 | 854 | weekly | |
28989 | 28989 | United States | Mississippi | MS | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 2976149 | 532 | 0 | 596 | weekly | |
29297 | 29297 | United States | Missouri | MO | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 6137428 | 1183 | 0 | 1212 | weekly | |
29605 | 29605 | United States | Montana | MT | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1068778 | 202 | 0 | 207 | weekly | |
29913 | 29913 | United States | Nebraska | NE | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1934408 | 298 | 0 | 323 | weekly | |
30221 | 30221 | United States | Nevada | NV | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 3080156 | 478 | 0 | 519 | weekly | |
30529 | 30529 | United States | New Hampshire | NH | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1359711 | 253 | 0 | 243 | weekly | |
30837 | 30837 | United States | New Jersey | NJ | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 8882190 | 1273 | 0 | 1362 | weekly | |
31145 | 31145 | United States | New Mexico | NM | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 2096829 | 349 | 0 | 348 | weekly | |
31453 | 31453 | United States | New York | NY | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 19453561 | 2720 | 0 | 2860 | weekly | |
31761 | 31761 | United States | North Carolina | NC | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 10488084 | 1719 | 0 | 1807 | weekly | |
32069 | 32069 | United States | North Dakota | ND | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 762062 | 116 | 0 | 126 | weekly | |
32377 | 32377 | United States | Ohio | OH | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 11689100 | 2265 | 0 | 2372 | weekly | |
32685 | 32685 | United States | Oklahoma | OK | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 3956971 | 755 | 0 | 718 | weekly | |
32993 | 32993 | United States | Oregon | OR | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 4217737 | 663 | 0 | 722 | weekly | |
33301 | 33301 | United States | Pennsylvania | PA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 12801989 | 2372 | 0 | 2565 | weekly | |
33609 | 33609 | United States | Rhode Island | RI | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1059361 | 203 | 0 | 190 | weekly | |
33917 | 33917 | United States | South Carolina | SC | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 5148714 | 902 | 0 | 927 | weekly | |
34225 | 34225 | United States | South Dakota | SD | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 884659 | 158 | 0 | 166 | weekly | |
34533 | 34533 | United States | Tennessee | TN | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 6833174 | 1377 | 0 | 1410 | weekly | |
34841 | 34841 | United States | Texas | TX | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 28995881 | 3702 | 0 | 3767 | weekly | |
35149 | 35149 | United States | Utah | UT | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 3205958 | 352 | 0 | 371 | weekly | |
35457 | 35457 | United States | Vermont | VT | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 623989 | 96 | 0 | 112 | weekly | |
35765 | 35765 | United States | Virginia | VA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 8535519 | 1283 | 0 | 1280 | weekly | |
36073 | 36073 | United States | Washington | WA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 7614893 | 1003 | 0 | 1112 | weekly | |
36381 | 36381 | United States | West Virginia | WV | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 1792147 | 387 | 0 | 425 | weekly | |
36689 | 36689 | United States | Wisconsin | WI | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 5822434 | 1049 | 0 | 994 | weekly | |
36997 | 36997 | United States | Wyoming | WY | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 578759 | 89 | 0 | 83 | weekly | |
37305 | 37305 | United States | United States | USA | 2019-08-25 | 2019-08-31 | 7 | 2019 | 35 | 328300544 | 51298 | 0 | 53744 | 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]);