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 2019-02-16
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21569 | 21569 | United States | Alabama | AL | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 4903185 | 1103 | 0 | 1100 | weekly | |
21877 | 21877 | United States | Alaska | AK | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 731545 | 99 | 0 | 93 | weekly | |
22185 | 22185 | United States | Arizona | AZ | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 7278717 | 1188 | 0 | 1145 | weekly | |
22493 | 22493 | United States | Arkansas | AR | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 3017825 | 695 | 0 | 649 | weekly | |
22801 | 22801 | United States | California | CA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 39512223 | 5644 | 0 | 5358 | weekly | |
23109 | 23109 | United States | Colorado | CO | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 5758736 | 853 | 0 | 864 | weekly | |
23417 | 23417 | United States | Connecticut | CT | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 3565287 | 670 | 0 | 656 | weekly | |
23725 | 23725 | United States | Delaware | DE | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 973764 | 194 | 0 | 197 | weekly | |
24033 | 24033 | United States | District of Columbia | DC | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 705749 | 114 | 0 | 122 | weekly | |
24341 | 24341 | United States | Florida | FL | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 21477737 | 4282 | 0 | 3955 | weekly | |
24649 | 24649 | United States | Georgia | GA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 10617423 | 1646 | 0 | 1620 | weekly | |
24957 | 24957 | United States | Hawaii | HI | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1415872 | 257 | 0 | 234 | weekly | |
25265 | 25265 | United States | Idaho | ID | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1787065 | 350 | 0 | 288 | weekly | |
25573 | 25573 | United States | Illinois | IL | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 12671821 | 2131 | 0 | 2213 | weekly | |
25881 | 25881 | United States | Indiana | IN | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 6732219 | 1309 | 0 | 1348 | weekly | |
26189 | 26189 | United States | Iowa | IA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 3155070 | 625 | 0 | 612 | weekly | |
26497 | 26497 | United States | Kansas | KS | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 2913314 | 523 | 0 | 552 | weekly | |
26805 | 26805 | United States | Kentucky | KY | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 4467673 | 948 | 0 | 1056 | weekly | |
27113 | 27113 | United States | Louisiana | LA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 4648794 | 934 | 0 | 913 | weekly | |
27421 | 27421 | United States | Maine | ME | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1344212 | 283 | 0 | 308 | weekly | |
27729 | 27729 | United States | Maryland | MD | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 6045680 | 954 | 0 | 1037 | weekly | |
28037 | 28037 | United States | Massachusetts | MA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 6949503 | 1270 | 0 | 1256 | weekly | |
28345 | 28345 | United States | Michigan | MI | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 9986857 | 1847 | 0 | 2000 | weekly | |
28653 | 28653 | United States | Minnesota | MN | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 5639632 | 892 | 0 | 910 | weekly | |
28961 | 28961 | United States | Mississippi | MS | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 2976149 | 674 | 0 | 662 | weekly | |
29269 | 29269 | United States | Missouri | MO | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 6137428 | 1382 | 0 | 1328 | weekly | |
29577 | 29577 | United States | Montana | MT | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1068778 | 218 | 0 | 204 | weekly | |
29885 | 29885 | United States | Nebraska | NE | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1934408 | 339 | 0 | 352 | weekly | |
30193 | 30193 | United States | Nevada | NV | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 3080156 | 518 | 0 | 478 | weekly | |
30501 | 30501 | United States | New Hampshire | NH | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1359711 | 274 | 0 | 267 | weekly | |
30809 | 30809 | United States | New Jersey | NJ | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 8882190 | 1552 | 0 | 1495 | weekly | |
31117 | 31117 | United States | New Mexico | NM | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 2096829 | 374 | 0 | 402 | weekly | |
31425 | 31425 | United States | New York | NY | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 19453561 | 3122 | 0 | 3231 | weekly | |
31733 | 31733 | United States | North Carolina | NC | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 10488084 | 2051 | 0 | 2046 | weekly | |
32041 | 32041 | United States | North Dakota | ND | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 762062 | 161 | 0 | 134 | weekly | |
32349 | 32349 | United States | Ohio | OH | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 11689100 | 2380 | 0 | 2569 | weekly | |
32657 | 32657 | United States | Oklahoma | OK | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 3956971 | 847 | 0 | 819 | weekly | |
32965 | 32965 | United States | Oregon | OR | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 4217737 | 721 | 0 | 769 | weekly | |
33273 | 33273 | United States | Pennsylvania | PA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 12801989 | 2763 | 0 | 2830 | weekly | |
33581 | 33581 | United States | Rhode Island | RI | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1059361 | 206 | 0 | 211 | weekly | |
33889 | 33889 | United States | South Carolina | SC | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 5148714 | 1000 | 0 | 1045 | weekly | |
34197 | 34197 | United States | South Dakota | SD | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 884659 | 182 | 0 | 177 | weekly | |
34505 | 34505 | United States | Tennessee | TN | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 6833174 | 1547 | 0 | 1559 | weekly | |
34813 | 34813 | United States | Texas | TX | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 28995881 | 4201 | 0 | 4317 | weekly | |
35121 | 35121 | United States | Utah | UT | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 3205958 | 368 | 0 | 414 | weekly | |
35429 | 35429 | United States | Vermont | VT | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 623989 | 121 | 0 | 128 | weekly | |
35737 | 35737 | United States | Virginia | VA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 8535519 | 1385 | 0 | 1433 | weekly | |
36045 | 36045 | United States | Washington | WA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 7614893 | 1267 | 0 | 1087 | weekly | |
36353 | 36353 | United States | West Virginia | WV | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 1792147 | 488 | 0 | 460 | weekly | |
36661 | 36661 | United States | Wisconsin | WI | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 5822434 | 1078 | 0 | 1091 | weekly | |
36969 | 36969 | United States | Wyoming | WY | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 578759 | 93 | 0 | 94 | weekly | |
37277 | 37277 | United States | United States | USA | 2019-02-10 | 2019-02-16 | 7 | 2019 | 7 | 328300544 | 58123 | 0 | 58088 | 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]);