economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
22 rows where covid_deaths = 164 sorted by end_date descending
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Suggested facets: region, region_code, start_date, end_date, days, week, population, total_deaths, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_per_100k, month, covid_deaths_per_7_days, expected_deaths_per_7_days, excess_deaths_per_7_days, non_covid_deaths_per_7_days, covid_deaths_per_100k_per_7_days, start_date (date)
country 7
- United States 11
- Austria 2
- Chile 2
- Ireland 2
- Singapore 2
- Sweden 2
- South Africa 1
Link | rowid | country | region | region_code | start_date | end_date ▲ | days | year | week | population | total_deaths | covid_deaths | expected_deaths | excess_deaths | non_covid_deaths | covid_deaths_per_100k | excess_deaths_per_100k | excess_deaths_pct_change | cadence | month | total_deaths_per_7_days | covid_deaths_per_7_days | expected_deaths_per_7_days | excess_deaths_per_7_days | non_covid_deaths_per_7_days | covid_deaths_per_100k_per_7_days | excess_deaths_per_100k_per_7_days | quarter |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17559 | 17559 | Sweden | Sweden | 0 | 2022-10-10 | 2022-10-16 | 7 | 2022 | 41 | 10549349 | 1727.6 | 164 | 1642.7313202247 | 84.8686797752989 | 1563.6 | 1.55459829796132 | 0.804492104444539 | 0.0516631531464873 | weekly | |||||||||
24705 | 24705 | Sweden | Sweden | 0 | 2022-10-10 | 2022-10-16 | 7 | 2022 | 41 | 10549349 | 1727.6 | 164 | 1642.7313202247 | 84.8686797752989 | 1563.6 | 1.55459829796132 | 0.804492104444539 | 0.0516631531464866 | weekly | |||||||||
11144 | 11144 | Ireland | Ireland | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 5023108 | 2706 | 164 | 2338.64877303411 | 367.351226965892 | 2542 | 3.26491088784076 | 7.31322573525976 | 0.157078408353427 | monthly | 8 | 611.032258064516 | 37.0322580645161 | 528.081981007702 | 82.9502770568143 | 574.0 | 0.737237942415654 | 1.65137355312317 | ||
22034 | 22034 | Ireland | Ireland | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 5023108 | 2706 | 164 | 2338.64877303411 | 367.351226965892 | 2542 | 3.26491088784076 | 7.31322573525976 | 0.157078408353426 | monthly | 8 | 611.032258064516 | 37.0322580645161 | 528.081981007702 | 82.9502770568143 | 574.0 | 0.737237942415654 | 1.65137355312317 | ||
17104 | 17104 | South Africa | South Africa | 0 | 2022-06-05 | 2022-06-11 | 7 | 2022 | 23 | 59893884 | 12354 | 164 | 11451.1765690375 | 902.823430962466 | 12190 | 0.273817607153345 | 1.50737165578119 | 0.078841106459193 | weekly | |||||||||
12182 | 12182 | Chile | Chile | 0 | 2022-04-25 | 2022-05-01 | 7 | 2022 | 17 | 19603736 | 2287 | 164 | 2156.06065573778 | 130.939344262215 | 2123 | 0.836575232394478 | 0.667930563144775 | 0.0607308258762387 | weekly | |||||||||
19840 | 19840 | Chile | Chile | 0 | 2022-04-25 | 2022-05-01 | 7 | 2022 | 17 | 19603736 | 2287 | 164 | 2156.06065573778 | 130.939344262215 | 2123 | 0.836575232394478 | 0.667930563144777 | 0.0607308258762365 | weekly | |||||||||
7257 | 7257 | United States | New York | NY | 2022-03-13 | 2022-03-19 | 7 | 2022 | 11 | 19453561 | 3129 | 164 | 3088.46616541432 | 40.5338345856781 | 2965 | 0.843033314054944 | 0.20836202989097 | 0.0131242605276332 | weekly | |||||||||
372 | 372 | Singapore | Singapore | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 5637022 | 2128 | 164 | 1769.93395501175 | 358.066044988253 | 1964 | 2.90933758995441 | 6.35204270957702 | 0.202304749267255 | monthly | 2 | 532.0 | 41.0 | 442.483488752937 | 89.5165112470632 | 491.0 | 0.727334397488603 | 1.58801067739426 | ||
22924 | 22924 | Singapore | Singapore | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 5637022 | 2128 | 164 | 1769.93395501175 | 358.066044988253 | 1964 | 2.90933758995441 | 6.35204270957702 | 0.202304749267253 | monthly | 2 | 532.0 | 41.0 | 442.483488752937 | 89.5165112470632 | 491.0 | 0.727334397488603 | 1.58801067739426 | ||
5885 | 5885 | United States | Minnesota | MN | 2022-02-13 | 2022-02-19 | 7 | 2022 | 7 | 5639632 | 1009 | 164 | 966.644736842879 | 42.3552631571208 | 845 | 2.90799115970687 | 0.751028846511986 | 0.0438167835015124 | weekly | |||||||||
4965 | 4965 | United States | Kentucky | KY | 2021-12-19 | 2021-12-25 | 7 | 2021 | 51 | 4467673 | 1312 | 164 | 1008.24310777087 | 303.756892229128 | 1148 | 3.67081476195774 | 6.79899563439688 | 0.301273462608344 | weekly | |||||||||
2955 | 2955 | United States | California | CA | 2021-04-25 | 2021-05-01 | 7 | 2021 | 17 | 39512223 | 5392 | 164 | 5158.90476190519 | 233.09523809481 | 5228 | 0.41506143554616 | 0.589931976479304 | 0.0451830861108449 | weekly | |||||||||
7665 | 7665 | United States | Ohio | OH | 2021-04-11 | 2021-04-17 | 7 | 2021 | 15 | 11689100 | 2412 | 164 | 2388.05889724528 | 23.9411027547176 | 2248 | 1.4030164854437 | 0.204815621003478 | 0.0100253401548573 | weekly | |||||||||
7356 | 7356 | United States | North Carolina | NC | 2021-03-07 | 2021-03-13 | 7 | 2021 | 10 | 10488084 | 2052 | 164 | 2015.72305764474 | 36.2769423552568 | 1888 | 1.56367931454401 | 0.345887221681832 | 0.0179969873429162 | weekly | |||||||||
5378 | 5378 | United States | Maryland | MD | 2021-02-21 | 2021-02-27 | 7 | 2021 | 8 | 6045680 | 1176 | 164 | 1025.71804511367 | 150.281954886326 | 1012 | 2.71268079025023 | 2.48577422037432 | 0.146513903701159 | weekly | |||||||||
9479 | 9479 | United States | Washington | WA | 2021-01-31 | 2021-02-06 | 7 | 2021 | 5 | 7614893 | 1346 | 164 | 1194.73684210609 | 151.263157893909 | 1182 | 2.15367438518177 | 1.9864121254745 | 0.126607929514637 | weekly | |||||||||
4914 | 4914 | United States | Kentucky | KY | 2020-12-27 | 2021-01-02 | 7 | 2020 | 53 | 4467673 | 1409 | 164 | 1043.9398496253 | 365.060150374697 | 1245 | 3.67081476195774 | 8.17114749388992 | 0.349694621299998 | weekly | |||||||||
8406 | 8406 | United States | South Carolina | SC | 2020-11-29 | 2020-12-05 | 7 | 2020 | 49 | 5148714 | 1287 | 164 | 1011.1378446125 | 275.862155387503 | 1123 | 3.18526140702319 | 5.35788461715883 | 0.272823489752006 | weekly | |||||||||
5792 | 5792 | United States | Minnesota | MN | 2020-05-03 | 2020-05-09 | 7 | 2020 | 19 | 5639632 | 1057 | 164 | 873.93984962484 | 183.06015037516 | 893 | 2.90799115970687 | 3.24595914015596 | 0.209465388783614 | weekly | |||||||||
11334 | 11334 | Austria | Austria | 0 | 2020-04-06 | 2020-04-12 | 7 | 2020 | 15 | 8939617 | 1794 | 164 | 1555.90449438199 | 238.095505618006 | 1630 | 1.83453049498653 | 2.66337479131383 | 0.153027069770489 | weekly | |||||||||
20984 | 20984 | Austria | Austria | 0 | 2020-04-06 | 2020-04-12 | 7 | 2020 | 15 | 8939617 | 1794 | 164 | 1555.90449438199 | 238.095505618006 | 1630 | 1.83453049498653 | 2.66337479131384 | 0.153027069770486 | weekly |
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CREATE TABLE [economist_excess_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] FLOAT, [excess_deaths] FLOAT, [non_covid_deaths] INTEGER, [covid_deaths_per_100k] FLOAT, [excess_deaths_per_100k] FLOAT, [excess_deaths_pct_change] FLOAT, [cadence] TEXT , [month] INTEGER, [total_deaths_per_7_days] FLOAT, [covid_deaths_per_7_days] FLOAT, [expected_deaths_per_7_days] FLOAT, [excess_deaths_per_7_days] FLOAT, [non_covid_deaths_per_7_days] FLOAT, [covid_deaths_per_100k_per_7_days] FLOAT, [excess_deaths_per_100k_per_7_days] FLOAT, [quarter] INTEGER);