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 2019-11-16
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Link | rowid ▼ | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21608 | 21608 | United States | Alabama | AL | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 4903185 | 1072 | 0 | 1049 | weekly | |
21916 | 21916 | United States | Alaska | AK | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 731545 | 90 | 0 | 95 | weekly | |
22224 | 22224 | United States | Arizona | AZ | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 7278717 | 1197 | 0 | 1200 | weekly | |
22532 | 22532 | United States | Arkansas | AR | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 3017825 | 671 | 0 | 625 | weekly | |
22840 | 22840 | United States | California | CA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 39512223 | 5123 | 0 | 5555 | weekly | |
23148 | 23148 | United States | Colorado | CO | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 5758736 | 795 | 0 | 832 | weekly | |
23456 | 23456 | United States | Connecticut | CT | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 3565287 | 639 | 0 | 622 | weekly | |
23764 | 23764 | United States | Delaware | DE | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 973764 | 172 | 0 | 196 | weekly | |
24072 | 24072 | United States | District of Columbia | DC | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 705749 | 105 | 0 | 139 | weekly | |
24380 | 24380 | United States | Florida | FL | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 21477737 | 4090 | 0 | 4175 | weekly | |
24688 | 24688 | United States | Georgia | GA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 10617423 | 1666 | 0 | 1739 | weekly | |
24996 | 24996 | United States | Hawaii | HI | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1415872 | 203 | 0 | 213 | weekly | |
25304 | 25304 | United States | Idaho | ID | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1787065 | 284 | 0 | 284 | weekly | |
25612 | 25612 | United States | Illinois | IL | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 12671821 | 2129 | 0 | 2145 | weekly | |
25920 | 25920 | United States | Indiana | IN | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 6732219 | 1291 | 0 | 1367 | weekly | |
26228 | 26228 | United States | Iowa | IA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 3155070 | 606 | 0 | 600 | weekly | |
26536 | 26536 | United States | Kansas | KS | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 2913314 | 530 | 0 | 528 | weekly | |
26844 | 26844 | United States | Kentucky | KY | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 4467673 | 945 | 0 | 1028 | weekly | |
27152 | 27152 | United States | Louisiana | LA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 4648794 | 953 | 0 | 860 | weekly | |
27460 | 27460 | United States | Maine | ME | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1344212 | 309 | 0 | 303 | weekly | |
27768 | 27768 | United States | Maryland | MD | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 6045680 | 1026 | 0 | 1044 | weekly | |
28076 | 28076 | United States | Massachusetts | MA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 6949503 | 1130 | 0 | 1189 | weekly | |
28384 | 28384 | United States | Michigan | MI | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 9986857 | 1964 | 0 | 1943 | weekly | |
28692 | 28692 | United States | Minnesota | MN | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 5639632 | 938 | 0 | 920 | weekly | |
29000 | 29000 | United States | Mississippi | MS | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 2976149 | 621 | 0 | 612 | weekly | |
29308 | 29308 | United States | Missouri | MO | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 6137428 | 1323 | 0 | 1294 | weekly | |
29616 | 29616 | United States | Montana | MT | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1068778 | 186 | 0 | 211 | weekly | |
29924 | 29924 | United States | Nebraska | NE | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1934408 | 329 | 0 | 335 | weekly | |
30232 | 30232 | United States | Nevada | NV | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 3080156 | 508 | 0 | 542 | weekly | |
30540 | 30540 | United States | New Hampshire | NH | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1359711 | 238 | 0 | 254 | weekly | |
30848 | 30848 | United States | New Jersey | NJ | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 8882190 | 1473 | 0 | 1460 | weekly | |
31156 | 31156 | United States | New Mexico | NM | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 2096829 | 340 | 0 | 364 | weekly | |
31464 | 31464 | United States | New York | NY | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 19453561 | 3083 | 0 | 3049 | weekly | |
31772 | 31772 | United States | North Carolina | NC | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 10488084 | 1874 | 0 | 1967 | weekly | |
32080 | 32080 | United States | North Dakota | ND | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 762062 | 157 | 0 | 138 | weekly | |
32388 | 32388 | United States | Ohio | OH | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 11689100 | 2415 | 0 | 2559 | weekly | |
32696 | 32696 | United States | Oklahoma | OK | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 3956971 | 798 | 0 | 769 | weekly | |
33004 | 33004 | United States | Oregon | OR | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 4217737 | 756 | 0 | 767 | weekly | |
33312 | 33312 | United States | Pennsylvania | PA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 12801989 | 2727 | 0 | 2772 | weekly | |
33620 | 33620 | United States | Rhode Island | RI | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1059361 | 192 | 0 | 205 | weekly | |
33928 | 33928 | United States | South Carolina | SC | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 5148714 | 947 | 0 | 996 | weekly | |
34236 | 34236 | United States | South Dakota | SD | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 884659 | 184 | 0 | 175 | weekly | |
34544 | 34544 | United States | Tennessee | TN | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 6833174 | 1471 | 0 | 1505 | weekly | |
34852 | 34852 | United States | Texas | TX | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 28995881 | 4043 | 0 | 4014 | weekly | |
35160 | 35160 | United States | Utah | UT | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 3205958 | 352 | 0 | 395 | weekly | |
35468 | 35468 | United States | Vermont | VT | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 623989 | 109 | 0 | 120 | weekly | |
35776 | 35776 | United States | Virginia | VA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 8535519 | 1325 | 0 | 1387 | weekly | |
36084 | 36084 | United States | Washington | WA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 7614893 | 1114 | 0 | 1168 | weekly | |
36392 | 36392 | United States | West Virginia | WV | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 1792147 | 414 | 0 | 455 | weekly | |
36700 | 36700 | United States | Wisconsin | WI | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 5822434 | 1043 | 0 | 1070 | weekly | |
37008 | 37008 | United States | Wyoming | WY | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 578759 | 94 | 0 | 83 | weekly | |
37316 | 37316 | United States | United States | USA | 2019-11-10 | 2019-11-16 | 7 | 2019 | 46 | 328300544 | 56044 | 0 | 57317 | 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]);