economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
8 rows where cadence = "monthly" and covid_deaths = 269 sorted by end_date descending
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Suggested facets: region, start_date, end_date, year, population, total_deaths, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, month, total_deaths_per_7_days, covid_deaths_per_7_days, excess_deaths_per_7_days, non_covid_deaths_per_7_days, excess_deaths_per_100k_per_7_days, start_date (date), end_date (date)
country 4
- El Salvador 2
- Malaysia 2
- Mongolia 2
- Panama 2
cadence 1
- monthly · 8 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10209 | 10209 | Malaysia | Malaysia | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 33938216 | 15986 | 269 | 15812.8204129417 | 173.179587058305 | 15717 | 0.792616795178627 | 0.510278993622719 | 0.0109518468265515 | monthly | 8 | 3609.74193548387 | 60.741935483871 | 3570.63686743845 | 39.1050680454236 | 3549.0 | 0.178977986008077 | 0.115224288882549 | ||
22361 | 22361 | Malaysia | Malaysia | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 33938216 | 15986 | 269 | 15812.8204129417 | 173.179587058305 | 15717 | 0.792616795178627 | 0.51027899362272 | 0.0109518468265513 | monthly | 8 | 3609.74193548387 | 60.741935483871 | 3570.63686743845 | 39.1050680454236 | 3549.0 | 0.178977986008077 | 0.115224288882549 | ||
22493 | 22493 | Mongolia | Mongolia | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 3398373 | 1950 | 269 | 1388.17501750916 | 561.824982490843 | 1681 | 7.9155525305786 | 16.5321753230397 | 0.404722009404072 | monthly | 11 | 455.0 | 62.7666666666667 | 323.90750408547 | 131.09249591453 | 392.233333333333 | 1.84696225713501 | 3.85750757537592 | ||
23870 | 23870 | Mongolia | Mongolia | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 3398373 | 1950 | 269 | 1388.17501750916 | 561.824982490843 | 1681 | 7.9155525305786 | 16.5321753230397 | 0.404722009404074 | monthly | 11 | 455.0 | 62.7666666666667 | 323.90750408547 | 131.09249591453 | 392.233333333333 | 1.84696225713501 | 3.85750757537592 | ||
20962 | 20962 | Panama | Panama | 0 | 2021-03-01 | 2021-03-31 | 31 | 2021 | 4408582 | 2437 | 269 | 1765.43427841635 | 671.565721583652 | 2168 | 6.10173520646775 | 15.233145750349 | 0.380396897122712 | monthly | 3 | 550.290322580645 | 60.741935483871 | 398.646449964982 | 151.643872615663 | 489.548387096774 | 1.37781117565401 | 3.43974258878849 | ||
22611 | 22611 | Panama | Panama | 0 | 2021-03-01 | 2021-03-31 | 31 | 2021 | 4408582 | 2437 | 269 | 1765.43427841635 | 671.565721583652 | 2168 | 6.10173520646775 | 15.233145750349 | 0.38039689712271 | monthly | 3 | 550.290322580645 | 60.741935483871 | 398.646449964982 | 151.643872615663 | 489.548387096774 | 1.37781117565401 | 3.43974258878849 | ||
18626 | 18626 | El Salvador | El Salvador | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 6336393 | 5210 | 269 | 3488.58236909323 | 1721.41763090677 | 4941 | 4.24531748583145 | 27.1671537877586 | 0.493443309854889 | monthly | 8 | 1176.45161290323 | 60.741935483871 | 787.744405924277 | 388.707206978949 | 1115.70967741935 | 0.958620077445811 | 6.13451859723582 | ||
21835 | 21835 | El Salvador | El Salvador | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 6336393 | 5210 | 269 | 3488.58236909323 | 1721.41763090677 | 4941 | 4.24531748583145 | 27.1671537877586 | 0.493443309854888 | monthly | 8 | 1176.45161290323 | 60.741935483871 | 787.744405924277 | 388.707206978949 | 1115.70967741935 | 0.958620077445811 | 6.13451859723582 |
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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);