economist_historical_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
52 rows where "start_date" is on date 2019-03-03
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21572 | 21572 | United States | Alabama | AL | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 4903185 | 1062 | 0 | 1073 | weekly | |
21880 | 21880 | United States | Alaska | AK | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 731545 | 94 | 0 | 90 | weekly | |
22188 | 22188 | United States | Arizona | AZ | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 7278717 | 1252 | 0 | 1124 | weekly | |
22496 | 22496 | United States | Arkansas | AR | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 3017825 | 686 | 0 | 643 | weekly | |
22804 | 22804 | United States | California | CA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 39512223 | 5677 | 0 | 5738 | weekly | |
23112 | 23112 | United States | Colorado | CO | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 5758736 | 840 | 0 | 853 | weekly | |
23420 | 23420 | United States | Connecticut | CT | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 3565287 | 644 | 0 | 656 | weekly | |
23728 | 23728 | United States | Delaware | DE | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 973764 | 207 | 0 | 196 | weekly | |
24036 | 24036 | United States | District of Columbia | DC | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 705749 | 121 | 0 | 124 | weekly | |
24344 | 24344 | United States | Florida | FL | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 21477737 | 4157 | 0 | 3917 | weekly | |
24652 | 24652 | United States | Georgia | GA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 10617423 | 1717 | 0 | 1775 | weekly | |
24960 | 24960 | United States | Hawaii | HI | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1415872 | 264 | 0 | 226 | weekly | |
25268 | 25268 | United States | Idaho | ID | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1787065 | 306 | 0 | 284 | weekly | |
25576 | 25576 | United States | Illinois | IL | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 12671821 | 2112 | 0 | 2180 | weekly | |
25884 | 25884 | United States | Indiana | IN | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 6732219 | 1331 | 0 | 1324 | weekly | |
26192 | 26192 | United States | Iowa | IA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 3155070 | 589 | 0 | 596 | weekly | |
26500 | 26500 | United States | Kansas | KS | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 2913314 | 580 | 0 | 538 | weekly | |
26808 | 26808 | United States | Kentucky | KY | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 4467673 | 1061 | 0 | 1040 | weekly | |
27116 | 27116 | United States | Louisiana | LA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 4648794 | 889 | 0 | 902 | weekly | |
27424 | 27424 | United States | Maine | ME | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1344212 | 331 | 0 | 308 | weekly | |
27732 | 27732 | United States | Maryland | MD | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 6045680 | 1033 | 0 | 1031 | weekly | |
28040 | 28040 | United States | Massachusetts | MA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 6949503 | 1198 | 0 | 1251 | weekly | |
28348 | 28348 | United States | Michigan | MI | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 9986857 | 1982 | 0 | 1978 | weekly | |
28656 | 28656 | United States | Minnesota | MN | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 5639632 | 912 | 0 | 902 | weekly | |
28964 | 28964 | United States | Mississippi | MS | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 2976149 | 647 | 0 | 649 | weekly | |
29272 | 29272 | United States | Missouri | MO | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 6137428 | 1315 | 0 | 1313 | weekly | |
29580 | 29580 | United States | Montana | MT | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1068778 | 242 | 0 | 207 | weekly | |
29888 | 29888 | United States | Nebraska | NE | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1934408 | 352 | 0 | 357 | weekly | |
30196 | 30196 | United States | Nevada | NV | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 3080156 | 548 | 0 | 471 | weekly | |
30504 | 30504 | United States | New Hampshire | NH | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1359711 | 231 | 0 | 261 | weekly | |
30812 | 30812 | United States | New Jersey | NJ | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 8882190 | 1527 | 0 | 1495 | weekly | |
31120 | 31120 | United States | New Mexico | NM | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 2096829 | 350 | 0 | 395 | weekly | |
31428 | 31428 | United States | New York | NY | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 19453561 | 3287 | 0 | 3208 | weekly | |
31736 | 31736 | United States | North Carolina | NC | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 10488084 | 1973 | 0 | 2005 | weekly | |
32044 | 32044 | United States | North Dakota | ND | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 762062 | 117 | 0 | 132 | weekly | |
32352 | 32352 | United States | Ohio | OH | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 11689100 | 2629 | 0 | 2557 | weekly | |
32660 | 32660 | United States | Oklahoma | OK | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 3956971 | 861 | 0 | 795 | weekly | |
32968 | 32968 | United States | Oregon | OR | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 4217737 | 773 | 0 | 760 | weekly | |
33276 | 33276 | United States | Pennsylvania | PA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 12801989 | 2804 | 0 | 2820 | weekly | |
33584 | 33584 | United States | Rhode Island | RI | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1059361 | 238 | 0 | 213 | weekly | |
33892 | 33892 | United States | South Carolina | SC | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 5148714 | 1005 | 0 | 1023 | weekly | |
34200 | 34200 | United States | South Dakota | SD | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 884659 | 176 | 0 | 176 | weekly | |
34508 | 34508 | United States | Tennessee | TN | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 6833174 | 1481 | 0 | 1527 | weekly | |
34816 | 34816 | United States | Texas | TX | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 28995881 | 4274 | 0 | 4218 | weekly | |
35124 | 35124 | United States | Utah | UT | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 3205958 | 427 | 0 | 413 | weekly | |
35432 | 35432 | United States | Vermont | VT | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 623989 | 127 | 0 | 126 | weekly | |
35740 | 35740 | United States | Virginia | VA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 8535519 | 1395 | 0 | 1412 | weekly | |
36048 | 36048 | United States | Washington | WA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 7614893 | 1208 | 0 | 1193 | weekly | |
36356 | 36356 | United States | West Virginia | WV | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 1792147 | 453 | 0 | 455 | weekly | |
36664 | 36664 | United States | Wisconsin | WI | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 5822434 | 1089 | 0 | 1087 | weekly | |
36972 | 36972 | United States | Wyoming | WY | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 578759 | 101 | 0 | 92 | weekly | |
37280 | 37280 | United States | United States | USA | 2019-03-03 | 2019-03-09 | 7 | 2019 | 10 | 328300544 | 58675 | 0 | 58109 | 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]);