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 2019-11-09
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21607 | 21607 | United States | Alabama | AL | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 4903185 | 1041 | 0 | 1041 | weekly | |
21915 | 21915 | United States | Alaska | AK | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 731545 | 89 | 0 | 95 | weekly | |
22223 | 22223 | United States | Arizona | AZ | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 7278717 | 1254 | 0 | 1183 | weekly | |
22531 | 22531 | United States | Arkansas | AR | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 3017825 | 632 | 0 | 624 | weekly | |
22839 | 22839 | United States | California | CA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 39512223 | 5303 | 0 | 5521 | weekly | |
23147 | 23147 | United States | Colorado | CO | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 5758736 | 788 | 0 | 822 | weekly | |
23455 | 23455 | United States | Connecticut | CT | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 3565287 | 602 | 0 | 620 | weekly | |
23763 | 23763 | United States | Delaware | DE | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 973764 | 165 | 0 | 195 | weekly | |
24071 | 24071 | United States | District of Columbia | DC | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 705749 | 140 | 0 | 138 | weekly | |
24379 | 24379 | United States | Florida | FL | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 21477737 | 3992 | 0 | 4153 | weekly | |
24687 | 24687 | United States | Georgia | GA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 10617423 | 1683 | 0 | 1709 | weekly | |
24995 | 24995 | United States | Hawaii | HI | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1415872 | 216 | 0 | 214 | weekly | |
25303 | 25303 | United States | Idaho | ID | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1787065 | 285 | 0 | 283 | weekly | |
25611 | 25611 | United States | Illinois | IL | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 12671821 | 2113 | 0 | 2114 | weekly | |
25919 | 25919 | United States | Indiana | IN | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 6732219 | 1278 | 0 | 1354 | weekly | |
26227 | 26227 | United States | Iowa | IA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 3155070 | 604 | 0 | 596 | weekly | |
26535 | 26535 | United States | Kansas | KS | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 2913314 | 524 | 0 | 523 | weekly | |
26843 | 26843 | United States | Kentucky | KY | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 4467673 | 882 | 0 | 1016 | weekly | |
27151 | 27151 | United States | Louisiana | LA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 4648794 | 962 | 0 | 859 | weekly | |
27459 | 27459 | United States | Maine | ME | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1344212 | 277 | 0 | 307 | weekly | |
27767 | 27767 | United States | Maryland | MD | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 6045680 | 1000 | 0 | 1033 | weekly | |
28075 | 28075 | United States | Massachusetts | MA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 6949503 | 1117 | 0 | 1181 | weekly | |
28383 | 28383 | United States | Michigan | MI | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 9986857 | 1955 | 0 | 1939 | weekly | |
28691 | 28691 | United States | Minnesota | MN | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 5639632 | 860 | 0 | 918 | weekly | |
28999 | 28999 | United States | Mississippi | MS | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 2976149 | 639 | 0 | 608 | weekly | |
29307 | 29307 | United States | Missouri | MO | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 6137428 | 1240 | 0 | 1280 | weekly | |
29615 | 29615 | United States | Montana | MT | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1068778 | 199 | 0 | 210 | weekly | |
29923 | 29923 | United States | Nebraska | NE | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1934408 | 314 | 0 | 334 | weekly | |
30231 | 30231 | United States | Nevada | NV | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 3080156 | 513 | 0 | 536 | weekly | |
30539 | 30539 | United States | New Hampshire | NH | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1359711 | 237 | 0 | 253 | weekly | |
30847 | 30847 | United States | New Jersey | NJ | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 8882190 | 1465 | 0 | 1461 | weekly | |
31155 | 31155 | United States | New Mexico | NM | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 2096829 | 354 | 0 | 360 | weekly | |
31463 | 31463 | United States | New York | NY | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 19453561 | 3061 | 0 | 3037 | weekly | |
31771 | 31771 | United States | North Carolina | NC | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 10488084 | 1825 | 0 | 1951 | weekly | |
32079 | 32079 | United States | North Dakota | ND | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 762062 | 146 | 0 | 137 | weekly | |
32387 | 32387 | United States | Ohio | OH | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 11689100 | 2502 | 0 | 2546 | weekly | |
32695 | 32695 | United States | Oklahoma | OK | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 3956971 | 823 | 0 | 760 | weekly | |
33003 | 33003 | United States | Oregon | OR | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 4217737 | 756 | 0 | 766 | weekly | |
33311 | 33311 | United States | Pennsylvania | PA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 12801989 | 2632 | 0 | 2774 | weekly | |
33619 | 33619 | United States | Rhode Island | RI | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1059361 | 190 | 0 | 203 | weekly | |
33927 | 33927 | United States | South Carolina | SC | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 5148714 | 933 | 0 | 989 | weekly | |
34235 | 34235 | United States | South Dakota | SD | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 884659 | 174 | 0 | 175 | weekly | |
34543 | 34543 | United States | Tennessee | TN | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 6833174 | 1480 | 0 | 1499 | weekly | |
34851 | 34851 | United States | Texas | TX | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 28995881 | 4054 | 0 | 3968 | weekly | |
35159 | 35159 | United States | Utah | UT | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 3205958 | 366 | 0 | 392 | weekly | |
35467 | 35467 | United States | Vermont | VT | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 623989 | 126 | 0 | 119 | weekly | |
35775 | 35775 | United States | Virginia | VA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 8535519 | 1276 | 0 | 1377 | weekly | |
36083 | 36083 | United States | Washington | WA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 7614893 | 1128 | 0 | 1164 | weekly | |
36391 | 36391 | United States | West Virginia | WV | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 1792147 | 446 | 0 | 454 | weekly | |
36699 | 36699 | United States | Wisconsin | WI | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 5822434 | 1079 | 0 | 1060 | weekly | |
37007 | 37007 | United States | Wyoming | WY | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 578759 | 86 | 0 | 83 | weekly | |
37315 | 37315 | United States | United States | USA | 2019-11-03 | 2019-11-09 | 7 | 2019 | 45 | 328300544 | 55806 | 0 | 56934 | 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]);