economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
11 rows where covid_deaths_per_7_days = "2.1" sorted by end_date descending
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Suggested facets: region, start_date, end_date, population, expected_deaths, excess_deaths, covid_deaths_per_100k, excess_deaths_per_100k, excess_deaths_pct_change, total_deaths_per_7_days, expected_deaths_per_7_days, non_covid_deaths_per_7_days, covid_deaths_per_100k_per_7_days, excess_deaths_per_100k_per_7_days, end_date (date)
country 6
cadence 1
- monthly 11
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
412 | 412 | Kazakhstan | Kazakhstan | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 19397998 | 10213 | 9 | 10640.4831494135 | -427.483149413501 | 10204 | 0.0463965405089742 | -2.2037488065186 | -0.0401751634216971 | monthly | 9 | 2383.03333333333 | 2.1 | 2482.77940152982 | -99.7460681964837 | 2380.93333333333 | 0.010825859452094 | -0.514208054854339 | ||
22150 | 22150 | Kazakhstan | Kazakhstan | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 19397998 | 10213 | 9 | 10640.4831494135 | -427.483149413501 | 10204 | 0.0463965405089742 | -2.2037488065186 | -0.0401751634216969 | monthly | 9 | 2383.03333333333 | 2.1 | 2482.77940152982 | -99.7460681964837 | 2380.93333333333 | 0.010825859452094 | -0.514208054854339 | ||
19712 | 19712 | Armenia | Armenia | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 2780472 | 1993 | 9 | 1999.85152020764 | -6.85152020763712 | 1984 | 0.323686050425971 | -0.246415723935976 | -0.00342601445077573 | monthly | 4 | 465.033333333333 | 2.1 | 466.632021381782 | -1.59868804844866 | 462.933333333333 | 0.0755267450993932 | -0.0574970022517278 | ||
21424 | 21424 | Armenia | Armenia | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 2780472 | 1993 | 9 | 1999.85152020764 | -6.85152020763712 | 1984 | 0.323686050425971 | -0.246415723935976 | -0.00342601445077717 | monthly | 4 | 465.033333333333 | 2.1 | 466.632021381782 | -1.59868804844866 | 462.933333333333 | 0.0755267450993932 | -0.0574970022517278 | ||
11069 | 11069 | Isle of Man | Isle of Man | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 84534 | 89 | 9 | 72.3837373683873 | 16.6162626316127 | 80 | 10.646603733409 | 19.6563070854481 | 0.229557953702314 | monthly | 11 | 20.7666666666667 | 2.1 | 16.8895387192904 | 3.8771279473763 | 18.6666666666667 | 2.48420753779544 | 4.58647165327123 | ||
1811 | 1811 | Saint Vincent and the Grenadines | Saint Vincent and the Grenadines | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 103959 | 109 | 9 | 98.1727951692354 | 10.8272048307646 | 100 | 8.65725911176522 | 10.4148797417873 | 0.1102872217512 | monthly | 9 | 25.4333333333333 | 2.1 | 22.9069855394883 | 2.52634779384508 | 23.3333333333333 | 2.02002712607855 | 2.43013860641703 | ||
22803 | 22803 | Saint Vincent and the Grenadines | Saint Vincent and the Grenadines | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 103959 | 109 | 9 | 98.1727951692354 | 10.8272048307646 | 100 | 8.65725911176522 | 10.4148797417872 | 0.1102872217512 | monthly | 9 | 25.4333333333333 | 2.1 | 22.9069855394883 | 2.52634779384508 | 23.3333333333333 | 2.02002712607855 | 2.43013860641703 | ||
10186 | 10186 | Malaysia | Malaysia | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 33938216 | 13249 | 9 | 14245.4828204177 | -996.482820417728 | 13240 | 0.0265187775338574 | -2.9361673589965 | -0.0699507930324055 | monthly | 9 | 3091.43333333333 | 2.1 | 3323.9459914308 | -232.51265809747 | 3089.33333333333 | 0.00618771475790006 | -0.685105717099184 | ||
22338 | 22338 | Malaysia | Malaysia | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 33938216 | 13249 | 9 | 14245.4828204177 | -996.482820417728 | 13240 | 0.0265187775338574 | -2.9361673589965 | -0.0699507930324036 | monthly | 9 | 3091.43333333333 | 2.1 | 3323.9459914308 | -232.51265809747 | 3089.33333333333 | 0.00618771475790006 | -0.685105717099184 | ||
18622 | 18622 | El Salvador | El Salvador | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 6336393 | 1906 | 9 | 3474.58293783215 | -1568.58293783215 | 1897 | 0.142036644507372 | -24.7551396801328 | -0.451444954947835 | monthly | 4 | 444.733333333333 | 2.1 | 810.736018827503 | -366.002685494169 | 442.633333333333 | 0.0331418837183868 | -5.77619925869764 | ||
21831 | 21831 | El Salvador | El Salvador | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 6336393 | 1906 | 9 | 3474.58293783215 | -1568.58293783215 | 1897 | 0.142036644507372 | -24.7551396801327 | -0.451444954947835 | monthly | 4 | 444.733333333333 | 2.1 | 810.736018827503 | -366.002685494169 | 442.633333333333 | 0.0331418837183868 | -5.77619925869764 |
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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);