economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
13 rows where non_covid_deaths = 1901 sorted by end_date descending
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Suggested facets: region, region_code, start_date, days, year, week, population, total_deaths, covid_deaths, excess_deaths, covid_deaths_per_100k, end_date (date)
country 5
- Belgium 4
- Czech Republic 4
- Ecuador 2
- Singapore 2
- United States 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11607 | 11607 | Belgium | Belgium | 0 | 2022-07-25 | 2022-07-31 | 7 | 2022 | 30 | 11655923 | 2011 | 110 | 1960.99382022478 | 50.0061797752223 | 1901 | 0.943726206839218 | 0.429019475979914 | 0.0255004270077139 | weekly | |||||||||
20431 | 20431 | Belgium | Belgium | 0 | 2022-07-25 | 2022-07-31 | 7 | 2022 | 30 | 11655923 | 2011 | 110 | 1960.99382022478 | 50.0061797752223 | 1901 | 0.943726206839218 | 0.429019475979915 | 0.025500427007715 | weekly | |||||||||
10105 | 10105 | Czech Republic | Czech Republic | 0 | 2021-06-07 | 2021-06-13 | 7 | 2021 | 23 | 10493990 | 1967 | 66 | 1995.57415730336 | -28.5741573033617 | 1901 | 0.628931416934836 | -0.272290685462457 | -0.0143187649523254 | weekly | |||||||||
12738 | 12738 | Czech Republic | Czech Republic | 0 | 2021-06-07 | 2021-06-13 | 7 | 2021 | 23 | 10493990 | 1967 | 66 | 1995.57415730336 | -28.5741573033617 | 1901 | 0.628931416934836 | -0.272290685462457 | -0.0143187649523245 | weekly | |||||||||
11539 | 11539 | Belgium | Belgium | 0 | 2021-04-05 | 2021-04-11 | 7 | 2021 | 14 | 11655923 | 2205 | 304 | 2091.75505617983 | 113.244943820172 | 1901 | 2.60811606253748 | 0.971565647955739 | 0.054138721207152 | weekly | |||||||||
20363 | 20363 | Belgium | Belgium | 0 | 2021-04-05 | 2021-04-11 | 7 | 2021 | 14 | 11655923 | 2205 | 304 | 2091.75505617983 | 113.244943820172 | 1901 | 2.60811606253748 | 0.971565647955735 | 0.0541387212071527 | weekly | |||||||||
1176 | 1176 | Ecuador | Ecuador | 0 | 2020-08-31 | 2020-09-06 | 7 | 2020 | 36 | 18001002 | 2070 | 169 | 1414.49438202238 | 655.505617977623 | 1901 | 0.93883662698332 | 3.64149516775579 | 0.463420446421578 | weekly | |||||||||
13000 | 13000 | Ecuador | Ecuador | 0 | 2020-08-31 | 2020-09-06 | 7 | 2020 | 36 | 18001002 | 2070 | 169 | 1414.49438202238 | 655.505617977623 | 1901 | 0.93883662698332 | 3.64149516775579 | 0.463420446421574 | weekly | |||||||||
7324 | 7324 | United States | North Carolina | NC | 2020-07-26 | 2020-08-01 | 7 | 2020 | 31 | 10488084 | 2085 | 184 | 1729.37092731884 | 355.629072681159 | 1901 | 1.75437191387865 | 3.39079161342681 | 0.205640714240822 | weekly | |||||||||
10050 | 10050 | Czech Republic | Czech Republic | 0 | 2020-05-18 | 2020-05-24 | 7 | 2020 | 21 | 10493990 | 1919 | 18 | 2015.98061797751 | -96.9806179775123 | 1901 | 0.171526750073137 | -0.924153901209286 | -0.048105927761749 | weekly | |||||||||
12683 | 12683 | Czech Republic | Czech Republic | 0 | 2020-05-18 | 2020-05-24 | 7 | 2020 | 21 | 10493990 | 1919 | 18 | 2015.98061797751 | -96.9806179775123 | 1901 | 0.171526750073137 | -0.924153901209286 | -0.0481059277617479 | weekly | |||||||||
350 | 350 | Singapore | Singapore | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 5637022 | 1913 | 12 | 1796.04986934336 | 116.950130656635 | 1901 | 0.212878360240567 | 2.07467933700871 | 0.0651151912053489 | monthly | 4 | 446.366666666667 | 2.8 | 419.078302846785 | 27.2883638198815 | 443.566666666667 | 0.0496716173894656 | 0.484091845302032 | ||
22902 | 22902 | Singapore | Singapore | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 5637022 | 1913 | 12 | 1796.04986934336 | 116.950130656635 | 1901 | 0.212878360240567 | 2.07467933700871 | 0.0651151912053518 | monthly | 4 | 446.366666666667 | 2.8 | 419.078302846785 | 27.2883638198815 | 443.566666666667 | 0.0496716173894656 | 0.484091845302032 |
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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);