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 2019-03-31 sorted by region
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: expected_deaths, end_date (date)
Link | rowid | country | region ▼ | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21576 | 21576 | United States | Alabama | AL | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 4903185 | 1044 | 0 | 1040 | weekly | |
21884 | 21884 | United States | Alaska | AK | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 731545 | 90 | 0 | 87 | weekly | |
22192 | 22192 | United States | Arizona | AZ | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 7278717 | 1254 | 0 | 1293 | weekly | |
22500 | 22500 | United States | Arkansas | AR | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 3017825 | 645 | 0 | 624 | weekly | |
22808 | 22808 | United States | California | CA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 39512223 | 5480 | 0 | 5556 | weekly | |
23116 | 23116 | United States | Colorado | CO | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 5758736 | 747 | 0 | 839 | weekly | |
23424 | 23424 | United States | Connecticut | CT | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 3565287 | 636 | 0 | 633 | weekly | |
23732 | 23732 | United States | Delaware | DE | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 973764 | 163 | 0 | 193 | weekly | |
24040 | 24040 | United States | District of Columbia | DC | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 705749 | 111 | 0 | 122 | weekly | |
24348 | 24348 | United States | Florida | FL | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 21477737 | 4224 | 0 | 3803 | weekly | |
24656 | 24656 | United States | Georgia | GA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 10617423 | 1654 | 0 | 1727 | weekly | |
24964 | 24964 | United States | Hawaii | HI | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1415872 | 251 | 0 | 219 | weekly | |
25272 | 25272 | United States | Idaho | ID | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1787065 | 295 | 0 | 282 | weekly | |
25580 | 25580 | United States | Illinois | IL | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 12671821 | 2122 | 0 | 2129 | weekly | |
25888 | 25888 | United States | Indiana | IN | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 6732219 | 1356 | 0 | 1300 | weekly | |
26196 | 26196 | United States | Iowa | IA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 3155070 | 583 | 0 | 584 | weekly | |
26504 | 26504 | United States | Kansas | KS | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 2913314 | 517 | 0 | 524 | weekly | |
26812 | 26812 | United States | Kentucky | KY | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 4467673 | 971 | 0 | 1019 | weekly | |
27120 | 27120 | United States | Louisiana | LA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 4648794 | 893 | 0 | 878 | weekly | |
27428 | 27428 | United States | Maine | ME | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1344212 | 298 | 0 | 306 | weekly | |
27736 | 27736 | United States | Maryland | MD | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 6045680 | 1049 | 0 | 1001 | weekly | |
28044 | 28044 | United States | Massachusetts | MA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 6949503 | 1213 | 0 | 1231 | weekly | |
28352 | 28352 | United States | Michigan | MI | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 9986857 | 1871 | 0 | 1940 | weekly | |
28660 | 28660 | United States | Minnesota | MN | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 5639632 | 851 | 0 | 888 | weekly | |
28968 | 28968 | United States | Mississippi | MS | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 2976149 | 659 | 0 | 632 | weekly | |
29276 | 29276 | United States | Missouri | MO | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 6137428 | 1186 | 0 | 1276 | weekly | |
29584 | 29584 | United States | Montana | MT | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1068778 | 208 | 0 | 208 | weekly | |
29892 | 29892 | United States | Nebraska | NE | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1934408 | 354 | 0 | 345 | weekly | |
30200 | 30200 | United States | Nevada | NV | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 3080156 | 546 | 0 | 455 | weekly | |
30508 | 30508 | United States | New Hampshire | NH | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1359711 | 263 | 0 | 256 | weekly | |
30816 | 30816 | United States | New Jersey | NJ | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 8882190 | 1422 | 0 | 1451 | weekly | |
31124 | 31124 | United States | New Mexico | NM | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 2096829 | 337 | 0 | 380 | weekly | |
31432 | 31432 | United States | New York | NY | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 19453561 | 3047 | 0 | 3087 | weekly | |
31740 | 31740 | United States | North Carolina | NC | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 10488084 | 1914 | 0 | 1927 | weekly | |
32048 | 32048 | United States | North Dakota | ND | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 762062 | 172 | 0 | 132 | weekly | |
32356 | 32356 | United States | Ohio | OH | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 11689100 | 2549 | 0 | 2492 | weekly | |
32664 | 32664 | United States | Oklahoma | OK | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 3956971 | 765 | 0 | 768 | weekly | |
32972 | 32972 | United States | Oregon | OR | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 4217737 | 774 | 0 | 752 | weekly | |
33280 | 33280 | United States | Pennsylvania | PA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 12801989 | 2628 | 0 | 2730 | weekly | |
33588 | 33588 | United States | Rhode Island | RI | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1059361 | 220 | 0 | 208 | weekly | |
33896 | 33896 | United States | South Carolina | SC | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 5148714 | 983 | 0 | 987 | weekly | |
34204 | 34204 | United States | South Dakota | SD | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 884659 | 167 | 0 | 172 | weekly | |
34512 | 34512 | United States | Tennessee | TN | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 6833174 | 1561 | 0 | 1473 | weekly | |
34820 | 34820 | United States | Texas | TX | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 28995881 | 3910 | 0 | 4104 | weekly | |
37284 | 37284 | United States | United States | USA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 328300544 | 56719 | 0 | 56697 | weekly | |
35128 | 35128 | United States | Utah | UT | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 3205958 | 380 | 0 | 403 | weekly | |
35436 | 35436 | United States | Vermont | VT | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 623989 | 130 | 0 | 120 | weekly | |
35744 | 35744 | United States | Virginia | VA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 8535519 | 1426 | 0 | 1354 | weekly | |
36052 | 36052 | United States | Washington | WA | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 7614893 | 1189 | 0 | 1177 | weekly | |
36360 | 36360 | United States | West Virginia | WV | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 1792147 | 467 | 0 | 441 | weekly | |
36668 | 36668 | United States | Wisconsin | WI | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 5822434 | 1055 | 0 | 1062 | weekly | |
36976 | 36976 | United States | Wyoming | WY | 2019-03-31 | 2019-04-06 | 7 | 2019 | 14 | 578759 | 89 | 0 | 87 | 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]);