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 2019-08-10
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21594 | 21594 | United States | Alabama | AL | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 4903185 | 998 | 0 | 982 | weekly | |
21902 | 21902 | United States | Alaska | AK | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 731545 | 86 | 0 | 96 | weekly | |
22210 | 22210 | United States | Arizona | AZ | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 7278717 | 1085 | 0 | 1147 | weekly | |
22518 | 22518 | United States | Arkansas | AR | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 3017825 | 592 | 0 | 594 | weekly | |
22826 | 22826 | United States | California | CA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 39512223 | 4763 | 0 | 5162 | weekly | |
23134 | 23134 | United States | Colorado | CO | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 5758736 | 687 | 0 | 769 | weekly | |
23442 | 23442 | United States | Connecticut | CT | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 3565287 | 596 | 0 | 564 | weekly | |
23750 | 23750 | United States | Delaware | DE | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 973764 | 185 | 0 | 180 | weekly | |
24058 | 24058 | United States | District of Columbia | DC | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 705749 | 109 | 0 | 126 | weekly | |
24366 | 24366 | United States | Florida | FL | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 21477737 | 3700 | 0 | 4011 | weekly | |
24674 | 24674 | United States | Georgia | GA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 10617423 | 1573 | 0 | 1614 | weekly | |
24982 | 24982 | United States | Hawaii | HI | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1415872 | 212 | 0 | 220 | weekly | |
25290 | 25290 | United States | Idaho | ID | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1787065 | 246 | 0 | 270 | weekly | |
25598 | 25598 | United States | Illinois | IL | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 12671821 | 1877 | 0 | 1987 | weekly | |
25906 | 25906 | United States | Indiana | IN | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 6732219 | 1186 | 0 | 1246 | weekly | |
26214 | 26214 | United States | Iowa | IA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 3155070 | 551 | 0 | 550 | weekly | |
26522 | 26522 | United States | Kansas | KS | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 2913314 | 479 | 0 | 497 | weekly | |
26830 | 26830 | United States | Kentucky | KY | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 4467673 | 870 | 0 | 969 | weekly | |
27138 | 27138 | United States | Louisiana | LA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 4648794 | 844 | 0 | 817 | weekly | |
27446 | 27446 | United States | Maine | ME | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1344212 | 260 | 0 | 281 | weekly | |
27754 | 27754 | United States | Maryland | MD | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 6045680 | 930 | 0 | 960 | weekly | |
28062 | 28062 | United States | Massachusetts | MA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 6949503 | 1090 | 0 | 1086 | weekly | |
28370 | 28370 | United States | Michigan | MI | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 9986857 | 1791 | 0 | 1807 | weekly | |
28678 | 28678 | United States | Minnesota | MN | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 5639632 | 886 | 0 | 834 | weekly | |
28986 | 28986 | United States | Mississippi | MS | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 2976149 | 643 | 0 | 592 | weekly | |
29294 | 29294 | United States | Missouri | MO | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 6137428 | 1176 | 0 | 1202 | weekly | |
29602 | 29602 | United States | Montana | MT | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1068778 | 186 | 0 | 206 | weekly | |
29910 | 29910 | United States | Nebraska | NE | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1934408 | 300 | 0 | 320 | weekly | |
30218 | 30218 | United States | Nevada | NV | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 3080156 | 483 | 0 | 520 | weekly | |
30526 | 30526 | United States | New Hampshire | NH | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1359711 | 261 | 0 | 239 | weekly | |
30834 | 30834 | United States | New Jersey | NJ | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 8882190 | 1334 | 0 | 1353 | weekly | |
31142 | 31142 | United States | New Mexico | NM | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 2096829 | 321 | 0 | 341 | weekly | |
31450 | 31450 | United States | New York | NY | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 19453561 | 2852 | 0 | 2829 | weekly | |
31758 | 31758 | United States | North Carolina | NC | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 10488084 | 1787 | 0 | 1798 | weekly | |
32066 | 32066 | United States | North Dakota | ND | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 762062 | 142 | 0 | 123 | weekly | |
32374 | 32374 | United States | Ohio | OH | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 11689100 | 2232 | 0 | 2351 | weekly | |
32682 | 32682 | United States | Oklahoma | OK | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 3956971 | 705 | 0 | 714 | weekly | |
32990 | 32990 | United States | Oregon | OR | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 4217737 | 662 | 0 | 716 | weekly | |
33298 | 33298 | United States | Pennsylvania | PA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 12801989 | 2468 | 0 | 2544 | weekly | |
33606 | 33606 | United States | Rhode Island | RI | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1059361 | 199 | 0 | 183 | weekly | |
33914 | 33914 | United States | South Carolina | SC | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 5148714 | 960 | 0 | 929 | weekly | |
34222 | 34222 | United States | South Dakota | SD | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 884659 | 160 | 0 | 163 | weekly | |
34530 | 34530 | United States | Tennessee | TN | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 6833174 | 1370 | 0 | 1401 | weekly | |
34838 | 34838 | United States | Texas | TX | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 28995881 | 3798 | 0 | 3787 | weekly | |
35146 | 35146 | United States | Utah | UT | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 3205958 | 317 | 0 | 374 | weekly | |
35454 | 35454 | United States | Vermont | VT | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 623989 | 105 | 0 | 111 | weekly | |
35762 | 35762 | United States | Virginia | VA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 8535519 | 1295 | 0 | 1271 | weekly | |
36070 | 36070 | United States | Washington | WA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 7614893 | 1044 | 0 | 1093 | weekly | |
36378 | 36378 | United States | West Virginia | WV | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 1792147 | 383 | 0 | 422 | weekly | |
36686 | 36686 | United States | Wisconsin | WI | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 5822434 | 997 | 0 | 979 | weekly | |
36994 | 36994 | United States | Wyoming | WY | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 578759 | 83 | 0 | 83 | weekly | |
37302 | 37302 | United States | United States | USA | 2019-08-04 | 2019-08-10 | 7 | 2019 | 32 | 328300544 | 51859 | 0 | 53413 | 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]);