economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
13 rows where total_deaths = 1071 sorted by end_date descending
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Suggested facets: region, region_code, start_date, end_date, days, week, population, expected_deaths, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_pct_change, start_date (date), end_date (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12935 | 12935 | Denmark | Denmark | 0 | 2022-05-16 | 2022-05-22 | 7 | 2022 | 20 | 5882259 | 1071 | 25 | 1008.60477528089 | 62.3952247191083 | 1046 | 0.425006787358394 | 1.06073576017493 | 0.0618629082950093 | weekly | |||||||||
19044 | 19044 | Denmark | Denmark | 0 | 2022-05-16 | 2022-05-22 | 7 | 2022 | 20 | 5882259 | 1071 | 25 | 1008.60477528089 | 62.3952247191083 | 1046 | 0.425006787358394 | 1.06073576017493 | 0.0618629082950073 | weekly | |||||||||
20791 | 20791 | Mauritius | Mauritius | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 1299478 | 1071 | 82 | 901.169598319118 | 169.830401680882 | 989 | 6.31022610617494 | 13.0691248086448 | 0.188455538222387 | monthly | 2 | 267.75 | 20.5 | 225.29239957978 | 42.4576004202204 | 247.25 | 1.57755652654374 | 3.26728120216121 | ||
22400 | 22400 | Mauritius | Mauritius | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 1299478 | 1071 | 82 | 901.169598319118 | 169.830401680882 | 989 | 6.31022610617494 | 13.0691248086449 | 0.188455538222387 | monthly | 2 | 267.75 | 20.5 | 225.29239957978 | 42.4576004202204 | 247.25 | 1.57755652654374 | 3.26728120216121 | ||
7861 | 7861 | United States | Oklahoma | OK | 2022-02-13 | 2022-02-19 | 7 | 2022 | 7 | 3956971 | 1071 | 394 | 864.631578948099 | 206.368421051901 | 677 | 9.95711113374346 | 5.21531295154555 | 0.238677867055199 | weekly | |||||||||
5868 | 5868 | United States | Minnesota | MN | 2021-10-17 | 2021-10-23 | 7 | 2021 | 42 | 5639632 | 1071 | 130 | 915.57644110355 | 155.42355889645 | 941 | 2.30511494367008 | 2.75591667854303 | 0.16975486908457 | weekly | |||||||||
4928 | 4928 | United States | Kentucky | KY | 2021-04-04 | 2021-04-10 | 7 | 2021 | 14 | 4467673 | 1071 | 92 | 951.243107770879 | 119.756892229121 | 979 | 2.05923754939092 | 2.68052053561486 | 0.125895148412435 | weekly | |||||||||
5361 | 5361 | United States | Maryland | MD | 2020-10-25 | 2020-10-31 | 7 | 2020 | 44 | 6045680 | 1071 | 58 | 958.107769424449 | 112.892230575551 | 1013 | 0.959362718503129 | 1.86732064177315 | 0.117828321800759 | weekly | |||||||||
1035 | 1035 | Slovakia | Slovakia | 0 | 2020-10-05 | 2020-10-11 | 7 | 2020 | 41 | 5643455 | 1071 | 6 | 980.657022471899 | 90.342977528101 | 1065 | 0.106317849615174 | 1.60084518310328 | 0.0921249483334932 | weekly | |||||||||
16720 | 16720 | Slovakia | Slovakia | 0 | 2020-10-05 | 2020-10-11 | 7 | 2020 | 41 | 5643455 | 1071 | 6 | 980.657022471899 | 90.342977528101 | 1065 | 0.106317849615174 | 1.60084518310328 | 0.0921249483334932 | weekly | |||||||||
5356 | 5356 | United States | Maryland | MD | 2020-09-20 | 2020-09-26 | 7 | 2020 | 39 | 6045680 | 1071 | 49 | 905.44110275777 | 165.55889724223 | 1022 | 0.810496089769885 | 2.73846609880493 | 0.182848886291968 | weekly | |||||||||
12813 | 12813 | Denmark | Denmark | 0 | 2020-01-13 | 2020-01-19 | 7 | 2020 | 3 | 5882259 | 1071 | 0 | 1115.0690543071 | -44.0690543070989 | 1071 | 0.0 | -0.749185887719308 | -0.0395213678802022 | weekly | |||||||||
18922 | 18922 | Denmark | Denmark | 0 | 2020-01-13 | 2020-01-19 | 7 | 2020 | 3 | 5882259 | 1071 | 0 | 1115.0690543071 | -44.0690543070989 | 1071 | 0.0 | -0.749185887719308 | -0.0395213678802012 | 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);