economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
8 rows where cadence = "monthly", covid_deaths = 27 and year = 2022 sorted by end_date descending
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Suggested facets: region, start_date, end_date, days, population, total_deaths, expected_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, 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, start_date (date), end_date (date)
country 4
- Azerbaijan 2
- Barbados 2
- Qatar 2
- Singapore 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21488 | 21488 | Azerbaijan | Azerbaijan | 0 | 2022-10-01 | 2022-10-31 | 31 | 2022 | 10358078 | 4085 | 27 | 4660.72461077661 | -575.724610776614 | 4058 | 0.260666119718349 | -5.55821853027766 | -0.123526845899757 | monthly | 10 | 922.41935483871 | 6.09677419354839 | 1052.4216863044 | -130.002331465687 | 916.322580645161 | 0.0588600915493047 | -1.25508160361109 | ||
24218 | 24218 | Azerbaijan | Azerbaijan | 0 | 2022-10-01 | 2022-10-31 | 31 | 2022 | 10358078 | 4085 | 27 | 4660.72461077661 | -575.724610776614 | 4058 | 0.260666119718349 | -5.55821853027766 | -0.123526845899758 | monthly | 10 | 922.41935483871 | 6.09677419354839 | 1052.4216863044 | -130.002331465687 | 916.322580645161 | 0.0588600915493047 | -1.25508160361109 | ||
18022 | 18022 | Barbados | Barbados | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 281646 | 287 | 27 | 223.977107721107 | 63.0228922788935 | 260 | 9.58650220489551 | 22.3766331774261 | 0.28138095415255 | monthly | 6 | 66.9666666666667 | 6.3 | 52.2613251349249 | 14.7053415317418 | 60.6666666666667 | 2.23685051447562 | 5.22121440806609 | ||
21542 | 21542 | Barbados | Barbados | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 281646 | 287 | 27 | 223.977107721107 | 63.0228922788935 | 260 | 9.58650220489551 | 22.3766331774261 | 0.281380954152548 | monthly | 6 | 66.9666666666667 | 6.3 | 52.2613251349249 | 14.7053415317418 | 60.6666666666667 | 2.23685051447562 | 5.22121440806609 | ||
371 | 371 | Singapore | Singapore | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 5637022 | 1970 | 27 | 2018.94063081554 | -48.9406308155394 | 1943 | 0.478976310541275 | -0.868200103095915 | -0.0242407478796294 | monthly | 1 | 444.838709677419 | 6.09677419354839 | 455.889819861573 | -11.0511101841541 | 438.741935483871 | 0.108155941089965 | -0.196045184570045 | ||
18050 | 18050 | Qatar | Qatar | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 2695131 | 292 | 27 | 190.163531746032 | 101.836468253968 | 265 | 1.0018065912195 | 3.77853500456816 | 0.535520492909087 | monthly | 1 | 65.9354838709677 | 6.09677419354839 | 42.9401523297492 | 22.9953315412186 | 59.8387096774194 | 0.226214391565693 | 0.853217581676681 | ||
22707 | 22707 | Qatar | Qatar | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 2695131 | 292 | 27 | 190.163531746032 | 101.836468253968 | 265 | 1.0018065912195 | 3.77853500456816 | 0.535520492909088 | monthly | 1 | 65.9354838709677 | 6.09677419354839 | 42.9401523297492 | 22.9953315412186 | 59.8387096774194 | 0.226214391565693 | 0.853217581676681 | ||
22923 | 22923 | Singapore | Singapore | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 5637022 | 1970 | 27 | 2018.94063081554 | -48.9406308155394 | 1943 | 0.478976310541275 | -0.868200103095915 | -0.0242407478796297 | monthly | 1 | 444.838709677419 | 6.09677419354839 | 455.889819861573 | -11.0511101841541 | 438.741935483871 | 0.108155941089965 | -0.196045184570045 |
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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);