economist_historical_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
52 rows where country = "United States" and "start_date" is on date 2019-12-22
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21614 | 21614 | United States | Alabama | AL | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 4903185 | 1036 | 0 | 1132 | weekly | |
21922 | 21922 | United States | Alaska | AK | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 731545 | 100 | 0 | 94 | weekly | |
22230 | 22230 | United States | Arizona | AZ | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 7278717 | 1219 | 0 | 1301 | weekly | |
22538 | 22538 | United States | Arkansas | AR | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 3017825 | 706 | 0 | 668 | weekly | |
22846 | 22846 | United States | California | CA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 39512223 | 5567 | 0 | 6043 | weekly | |
23154 | 23154 | United States | Colorado | CO | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 5758736 | 842 | 0 | 865 | weekly | |
23462 | 23462 | United States | Connecticut | CT | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 3565287 | 625 | 0 | 645 | weekly | |
23770 | 23770 | United States | Delaware | DE | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 973764 | 185 | 0 | 202 | weekly | |
24078 | 24078 | United States | District of Columbia | DC | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 705749 | 156 | 0 | 146 | weekly | |
24386 | 24386 | United States | Florida | FL | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 21477737 | 4309 | 0 | 3867 | weekly | |
24694 | 24694 | United States | Georgia | GA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 10617423 | 1776 | 0 | 1638 | weekly | |
25002 | 25002 | United States | Hawaii | HI | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1415872 | 256 | 0 | 226 | weekly | |
25310 | 25310 | United States | Idaho | ID | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1787065 | 285 | 0 | 297 | weekly | |
25618 | 25618 | United States | Illinois | IL | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 12671821 | 2172 | 0 | 2248 | weekly | |
25926 | 25926 | United States | Indiana | IN | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 6732219 | 1325 | 0 | 1449 | weekly | |
26234 | 26234 | United States | Iowa | IA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 3155070 | 636 | 0 | 643 | weekly | |
26542 | 26542 | United States | Kansas | KS | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 2913314 | 557 | 0 | 556 | weekly | |
26850 | 26850 | United States | Kentucky | KY | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 4467673 | 1089 | 0 | 1090 | weekly | |
27158 | 27158 | United States | Louisiana | LA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 4648794 | 893 | 0 | 917 | weekly | |
27466 | 27466 | United States | Maine | ME | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1344212 | 288 | 0 | 303 | weekly | |
27774 | 27774 | United States | Maryland | MD | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 6045680 | 1054 | 0 | 1090 | weekly | |
28082 | 28082 | United States | Massachusetts | MA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 6949503 | 1205 | 0 | 1229 | weekly | |
28390 | 28390 | United States | Michigan | MI | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 9986857 | 1963 | 0 | 2023 | weekly | |
28698 | 28698 | United States | Minnesota | MN | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 5639632 | 1006 | 0 | 943 | weekly | |
29006 | 29006 | United States | Mississippi | MS | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 2976149 | 608 | 0 | 652 | weekly | |
29314 | 29314 | United States | Missouri | MO | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 6137428 | 1332 | 0 | 1350 | weekly | |
29622 | 29622 | United States | Montana | MT | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1068778 | 171 | 0 | 220 | weekly | |
29930 | 29930 | United States | Nebraska | NE | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1934408 | 360 | 0 | 353 | weekly | |
30238 | 30238 | United States | Nevada | NV | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 3080156 | 540 | 0 | 589 | weekly | |
30546 | 30546 | United States | New Hampshire | NH | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1359711 | 247 | 0 | 264 | weekly | |
30854 | 30854 | United States | New Jersey | NJ | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 8882190 | 1572 | 0 | 1542 | weekly | |
31162 | 31162 | United States | New Mexico | NM | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 2096829 | 378 | 0 | 389 | weekly | |
31470 | 31470 | United States | New York | NY | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 19453561 | 3194 | 0 | 3206 | weekly | |
31778 | 31778 | United States | North Carolina | NC | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 10488084 | 1998 | 0 | 2058 | weekly | |
32086 | 32086 | United States | North Dakota | ND | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 762062 | 145 | 0 | 139 | weekly | |
32394 | 32394 | United States | Ohio | OH | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 11689100 | 2531 | 0 | 2706 | weekly | |
32702 | 32702 | United States | Oklahoma | OK | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 3956971 | 788 | 0 | 821 | weekly | |
33010 | 33010 | United States | Oregon | OR | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 4217737 | 741 | 0 | 799 | weekly | |
33318 | 33318 | United States | Pennsylvania | PA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 12801989 | 2770 | 0 | 2937 | weekly | |
33626 | 33626 | United States | Rhode Island | RI | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1059361 | 221 | 0 | 208 | weekly | |
33934 | 33934 | United States | South Carolina | SC | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 5148714 | 1022 | 0 | 1046 | weekly | |
34242 | 34242 | United States | South Dakota | SD | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 884659 | 155 | 0 | 180 | weekly | |
34550 | 34550 | United States | Tennessee | TN | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 6833174 | 1628 | 0 | 1590 | weekly | |
34858 | 34858 | United States | Texas | TX | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 28995881 | 4339 | 0 | 4267 | weekly | |
35166 | 35166 | United States | Utah | UT | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 3205958 | 399 | 0 | 410 | weekly | |
35474 | 35474 | United States | Vermont | VT | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 623989 | 113 | 0 | 125 | weekly | |
35782 | 35782 | United States | Virginia | VA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 8535519 | 1417 | 0 | 1465 | weekly | |
36090 | 36090 | United States | Washington | WA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 7614893 | 1114 | 0 | 1215 | weekly | |
36398 | 36398 | United States | West Virginia | WV | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 1792147 | 414 | 0 | 475 | weekly | |
36706 | 36706 | United States | Wisconsin | WI | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 5822434 | 1092 | 0 | 1108 | weekly | |
37014 | 37014 | United States | Wyoming | WY | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 578759 | 88 | 0 | 87 | weekly | |
37322 | 37322 | United States | United States | USA | 2019-12-22 | 2019-12-28 | 7 | 2019 | 52 | 328300544 | 58627 | 0 | 59816 | 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]);