economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
28 rows where country = "South Africa" and covid_deaths_per_100k = "0.0" sorted by year
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Suggested facets: year, week, total_deaths, non_covid_deaths, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16977 | 16977 | South Africa | South Africa | 0 | 2019-12-29 | 2020-01-04 | 7 | 2020 | 1 | 59893884 | 10458 | 0 | 10254.1882845192 | 203.811715480837 | 10458 | 0.0 | 0.340288025870616 | 0.0198759482297097 | weekly | |||||||||
16978 | 16978 | South Africa | South Africa | 0 | 2020-01-05 | 2020-01-11 | 7 | 2020 | 2 | 59893884 | 9678 | 0 | 9357.18828451883 | 320.811715481168 | 9678 | 0.0 | 0.535633513901299 | 0.034285055053551 | weekly | |||||||||
16979 | 16979 | South Africa | South Africa | 0 | 2020-01-12 | 2020-01-18 | 7 | 2020 | 3 | 59893884 | 9256 | 0 | 9104.68828451883 | 151.31171548117 | 9256 | 0.0 | 0.252632999190986 | 0.0166190989469077 | weekly | |||||||||
16980 | 16980 | South Africa | South Africa | 0 | 2020-01-19 | 2020-01-25 | 7 | 2020 | 4 | 59893884 | 8626 | 0 | 8877.52161785216 | -251.521617852159 | 8626 | 0.0 | -0.419945411875708 | -0.0283324140091493 | weekly | |||||||||
16981 | 16981 | South Africa | South Africa | 0 | 2020-01-26 | 2020-02-01 | 7 | 2020 | 5 | 59893884 | 9417 | 0 | 9281.68828451883 | 135.311715481168 | 9417 | 0.0 | 0.225919086297973 | 0.0145783516245488 | weekly | |||||||||
16982 | 16982 | South Africa | South Africa | 0 | 2020-02-02 | 2020-02-08 | 7 | 2020 | 6 | 59893884 | 10095 | 0 | 9488.8549511855 | 606.1450488145 | 10095 | 0.0 | 1.01203162715996 | 0.063879683263445 | weekly | |||||||||
16983 | 16983 | South Africa | South Africa | 0 | 2020-02-09 | 2020-02-15 | 7 | 2020 | 7 | 59893884 | 9281 | 0 | 9072.02161785217 | 208.978382147834 | 9281 | 0.0 | 0.348914393576202 | 0.0230354810593261 | weekly | |||||||||
16984 | 16984 | South Africa | South Africa | 0 | 2020-02-16 | 2020-02-22 | 7 | 2020 | 8 | 59893884 | 9318 | 0 | 9038.02161785216 | 279.97838214784 | 9318 | 0.0 | 0.467457382038941 | 0.0309778393973763 | weekly | |||||||||
16985 | 16985 | South Africa | South Africa | 0 | 2020-02-23 | 2020-02-29 | 7 | 2020 | 9 | 59893884 | 9020 | 0 | 9360.52161785216 | -340.521617852162 | 9020 | 0.0 | -0.568541552343077 | -0.0363784874127875 | weekly | |||||||||
16986 | 16986 | South Africa | South Africa | 0 | 2020-03-01 | 2020-03-07 | 7 | 2020 | 10 | 59893884 | 9840 | 0 | 9367.62594142258 | 472.374058577425 | 9840 | 0.0 | 0.788684965859661 | 0.0504262298186604 | weekly | |||||||||
16987 | 16987 | South Africa | South Africa | 0 | 2020-03-08 | 2020-03-14 | 7 | 2020 | 11 | 59893884 | 9401 | 0 | 9149.02594142258 | 251.974058577422 | 9401 | 0.0 | 0.420700815758454 | 0.0275410803500509 | weekly | |||||||||
16988 | 16988 | South Africa | South Africa | 0 | 2020-03-15 | 2020-03-21 | 7 | 2020 | 12 | 59893884 | 9119 | 0 | 9038.02594142257 | 80.9740585774307 | 9119 | 0.0 | 0.135195871714432 | 0.00895926379302758 | weekly | |||||||||
19320 | 19320 | South Africa | South Africa | 0 | 2019-12-30 | 2020-01-05 | 7 | 2020 | 1 | 59893884 | 10458 | 0 | 10258.5169491528 | 199.483050847211 | 10458 | 0.0 | 0.333060802747759 | 0.0194456032812507 | weekly | |||||||||
19321 | 19321 | South Africa | South Africa | 0 | 2020-01-06 | 2020-01-12 | 7 | 2020 | 2 | 59893884 | 9678 | 0 | 9361.51694915253 | 316.483050847468 | 9678 | 0.0 | 0.528406290778317 | 0.0338068127811399 | weekly | |||||||||
19322 | 19322 | South Africa | South Africa | 0 | 2020-01-13 | 2020-01-19 | 7 | 2020 | 3 | 59893884 | 9256 | 0 | 9109.01694915253 | 146.98305084747 | 9256 | 0.0 | 0.245405776068003 | 0.0161359948793536 | weekly | |||||||||
19323 | 19323 | South Africa | South Africa | 0 | 2020-01-20 | 2020-01-26 | 7 | 2020 | 4 | 59893884 | 8626 | 0 | 8881.85028248587 | -255.850282485866 | 8626 | 0.0 | -0.427172634998702 | -0.0288059665890088 | weekly | |||||||||
19324 | 19324 | South Africa | South Africa | 0 | 2020-01-27 | 2020-02-02 | 7 | 2020 | 5 | 59893884 | 9417 | 0 | 9286.01694915254 | 130.983050847464 | 9417 | 0.0 | 0.218691863174985 | 0.0141054072553053 | weekly | |||||||||
19325 | 19325 | South Africa | South Africa | 0 | 2020-02-03 | 2020-02-09 | 7 | 2020 | 6 | 59893884 | 10095 | 0 | 9493.1836158192 | 601.816384180796 | 10095 | 0.0 | 1.00480440403697 | 0.0633945795779136 | weekly | |||||||||
19326 | 19326 | South Africa | South Africa | 0 | 2020-02-10 | 2020-02-16 | 7 | 2020 | 7 | 59893884 | 9281 | 0 | 9076.35028248587 | 204.649717514132 | 9281 | 0.0 | 0.341687170453217 | 0.0225475781723667 | weekly | |||||||||
19327 | 19327 | South Africa | South Africa | 0 | 2020-02-17 | 2020-02-23 | 7 | 2020 | 8 | 59893884 | 9318 | 0 | 9042.35028248587 | 275.649717514134 | 9318 | 0.0 | 0.460230158915949 | 0.0304842998670423 | weekly | |||||||||
19328 | 19328 | South Africa | South Africa | 0 | 2020-02-24 | 2020-03-01 | 7 | 2020 | 9 | 59893884 | 9020 | 0 | 9433.82033898302 | -413.820338983021 | 9020 | 0.0 | -0.690922530559249 | -0.0438656158494992 | weekly | |||||||||
19329 | 19329 | South Africa | South Africa | 0 | 2020-03-02 | 2020-03-08 | 7 | 2020 | 10 | 59893884 | 9840 | 0 | 9372.82033898302 | 467.179661016979 | 9840 | 0.0 | 0.780012298112072 | 0.0498440857842868 | weekly | |||||||||
19330 | 19330 | South Africa | South Africa | 0 | 2020-03-09 | 2020-03-15 | 7 | 2020 | 11 | 59893884 | 9401 | 0 | 9154.22033898303 | 246.779661016972 | 9401 | 0.0 | 0.412028148010858 | 0.026958020659178 | weekly | |||||||||
19331 | 19331 | South Africa | South Africa | 0 | 2020-03-16 | 2020-03-22 | 7 | 2020 | 12 | 59893884 | 9119 | 0 | 9043.22033898302 | 75.7796610169753 | 9119 | 0.0 | 0.126523203966828 | 0.00837972073845283 | weekly | |||||||||
17112 | 17112 | South Africa | South Africa | 0 | 2022-07-31 | 2022-08-06 | 7 | 2022 | 31 | 59893884 | 11177 | 0 | 11025.1765690375 | 151.823430962462 | 11177 | 0.0 | 0.253487369365563 | 0.0137706121994339 | weekly | |||||||||
17113 | 17113 | South Africa | South Africa | 0 | 2022-08-07 | 2022-08-13 | 7 | 2022 | 32 | 59893884 | 10860 | 0 | 10893.9765690375 | -33.9765690375389 | 10860 | 0.0 | -0.0567279441045081 | -0.00311883992242723 | weekly | |||||||||
19455 | 19455 | South Africa | South Africa | 0 | 2022-08-01 | 2022-08-07 | 7 | 2022 | 31 | 59893884 | 11177 | 0 | 11033.833898305 | 143.166101695033 | 11177 | 0.0 | 0.239032923119551 | 0.0129751909458258 | weekly | |||||||||
19456 | 19456 | South Africa | South Africa | 0 | 2022-08-08 | 2022-08-14 | 7 | 2022 | 32 | 59893884 | 10860 | 0 | 10902.633898305 | -42.6338983049664 | 10860 | 0.0 | -0.0711823903505178 | -0.00391042189462076 | 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);