economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
4 rows where cadence = "weekly", covid_deaths = 158 and "start_date" is on date 2022-04-04 sorted by end_date descending
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Suggested facets: region, total_deaths, expected_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
565 | 565 | Portugal | Portugal | 0 | 2022-04-04 | 2022-04-10 | 7 | 2022 | 14 | 10270857 | 2416 | 158 | 2232.2098314607 | 183.790168539304 | 2258 | 1.53833316927692 | 1.78943362310764 | 0.0823355250698081 | weekly | |||||||||
16200 | 16200 | Peru | Peru | 0 | 2022-04-04 | 2022-04-10 | 7 | 2022 | 14 | 34049588 | 3070.4 | 158 | 2981.72615384535 | 88.6738461546515 | 2912.4 | 0.464029109544585 | 0.260425606778712 | 0.0297390979517997 | weekly | |||||||||
16497 | 16497 | Portugal | Portugal | 0 | 2022-04-04 | 2022-04-10 | 7 | 2022 | 14 | 10270857 | 2416 | 158 | 2232.2098314607 | 183.790168539304 | 2258 | 1.53833316927692 | 1.78943362310763 | 0.0823355250698059 | weekly | |||||||||
24828 | 24828 | Peru | Peru | 0 | 2022-04-04 | 2022-04-10 | 7 | 2022 | 14 | 34049588 | 3070.4 | 158 | 2981.72615384535 | 88.6738461546515 | 2912.4 | 0.464029109544585 | 0.260425606778712 | 0.0297390979518002 | 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);