economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
10 rows where cadence = "monthly", covid_deaths = 23 and year = 2021 sorted by end_date descending
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Suggested facets: region, start_date, end_date, days, population, total_deaths, excess_deaths, covid_deaths_per_100k, excess_deaths_per_100k, excess_deaths_pct_change, total_deaths_per_7_days, covid_deaths_per_7_days, excess_deaths_per_7_days, non_covid_deaths_per_7_days, covid_deaths_per_100k_per_7_days, end_date (date)
country 3
cadence 1
- monthly · 10 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19095 | 19095 | Antigua and Barbuda | Antigua and Barbuda | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 93772 | 26 | 23 | 57.7948488718602 | -31.7948488718602 | 3 | 24.5275775284733 | -33.9065487265497 | -0.550132918287478 | monthly | 10 | 5.87096774193548 | 5.19354838709677 | 13.0504497452588 | -7.17948200332327 | 0.67741935483871 | 5.53848524836494 | -7.6563174543822 | ||
21382 | 21382 | Antigua and Barbuda | Antigua and Barbuda | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 93772 | 26 | 23 | 57.7948488718602 | -31.7948488718602 | 3 | 24.5275775284733 | -33.9065487265497 | -0.550132918287478 | monthly | 10 | 5.87096774193548 | 5.19354838709677 | 13.0504497452588 | -7.17948200332327 | 0.67741935483871 | 5.53848524836494 | -7.6563174543822 | ||
23060 | 23060 | Uruguay | Uruguay | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 3422796 | 2766 | 23 | 2909.105719151 | -143.105719151002 | 2743 | 0.671965258811802 | -4.18095963507618 | -0.049192340522009 | monthly | 10 | 624.58064516129 | 5.19354838709677 | 656.894839808291 | -32.3141946470005 | 619.387096774194 | 0.151734090699439 | -0.944087659533332 | ||
23288 | 23288 | Uruguay | Uruguay | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 3422796 | 2766 | 23 | 2909.105719151 | -143.105719151002 | 2743 | 0.671965258811802 | -4.18095963507618 | -0.0491923405220097 | monthly | 10 | 624.58064516129 | 5.19354838709677 | 656.894839808291 | -32.3141946470005 | 619.387096774194 | 0.151734090699439 | -0.944087659533332 | ||
23059 | 23059 | Uruguay | Uruguay | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 3422796 | 3068 | 23 | 3151.88940563 | -83.8894056300023 | 3045 | 0.671965258811802 | -2.45090287677099 | -0.0266155930091183 | monthly | 9 | 715.866666666667 | 5.36666666666667 | 735.440861313667 | -19.5741946470005 | 710.5 | 0.156791893722754 | -0.571877337913231 | ||
23287 | 23287 | Uruguay | Uruguay | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 3422796 | 3068 | 23 | 3151.88940563 | -83.8894056300023 | 3045 | 0.671965258811802 | -2.45090287677099 | -0.0266155930091191 | monthly | 9 | 715.866666666667 | 5.36666666666667 | 735.440861313667 | -19.5741946470005 | 710.5 | 0.156791893722754 | -0.571877337913231 | ||
22894 | 22894 | Seychelles | Seychelles | 0 | 2021-08-01 | 2021-08-31 | 31 | 2021 | 107135 | 66 | 23 | 69.2224435930176 | -3.2224435930176 | 43 | 21.4682410043403 | -3.0078345946867 | -0.0465520057622272 | monthly | 8 | 14.9032258064516 | 5.19354838709677 | 15.6308743597137 | -0.727648553262039 | 9.70967741935484 | 4.84766732356072 | -0.67918845686474 | ||
23630 | 23630 | Seychelles | Seychelles | 0 | 2021-08-01 | 2021-08-31 | 31 | 2021 | 107135 | 66 | 23 | 69.2224435930176 | -3.2224435930176 | 43 | 21.4682410043403 | -3.00783459468671 | -0.0465520057622272 | monthly | 8 | 14.9032258064516 | 5.19354838709677 | 15.6308743597137 | -0.727648553262039 | 9.70967741935484 | 4.84766732356072 | -0.67918845686474 | ||
22893 | 22893 | Seychelles | Seychelles | 0 | 2021-07-01 | 2021-07-31 | 31 | 2021 | 107135 | 98 | 23 | 72.2224435930176 | 25.7775564069824 | 75 | 21.4682410043403 | 24.060817106438 | 0.356918917784645 | monthly | 7 | 22.1290322580645 | 5.19354838709677 | 16.3082937145524 | 5.82073854351215 | 16.9354838709677 | 4.84766732356072 | 5.43308773371182 | ||
23629 | 23629 | Seychelles | Seychelles | 0 | 2021-07-01 | 2021-07-31 | 31 | 2021 | 107135 | 98 | 23 | 72.2224435930176 | 25.7775564069824 | 75 | 21.4682410043403 | 24.060817106438 | 0.356918917784645 | monthly | 7 | 22.1290322580645 | 5.19354838709677 | 16.3082937145524 | 5.82073854351215 | 16.9354838709677 | 4.84766732356072 | 5.43308773371182 |
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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);