economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
18 rows where covid_deaths = 232 sorted by end_date descending
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Suggested facets: region, region_code, start_date, end_date, days, year, population, total_deaths, expected_deaths, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, excess_deaths_pct_change, start_date (date), end_date (date)
country 8
- United States 5
- Bolivia 2
- Croatia 2
- France 2
- Mexico 2
- Netherlands 2
- South Korea 2
- South Africa 1
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10569 | 10569 | Mexico | Mexico | 0 | 2022-08-29 | 2022-09-04 | 7 | 2022 | 35 | 127504120 | 13295 | 232 | 14227.2882022465 | -932.288202246455 | 13063 | 0.181954904672884 | -0.731182805894001 | -0.0655281729725028 | weekly | |||||||||
15477 | 15477 | Mexico | Mexico | 0 | 2022-08-29 | 2022-09-04 | 7 | 2022 | 35 | 127504120 | 13295 | 232 | 14227.2882022465 | -932.288202246455 | 13063 | 0.181954904672884 | -0.731182805894002 | -0.0655281729725058 | weekly | |||||||||
19443 | 19443 | South Africa | South Africa | 0 | 2022-05-09 | 2022-05-15 | 7 | 2022 | 19 | 59893884 | 11604 | 232 | 10143.633898305 | 1460.36610169503 | 11372 | 0.387351736948634 | 2.43825580203654 | 0.143968731160444 | weekly | |||||||||
3148 | 3148 | United States | Colorado | CO | 2022-02-06 | 2022-02-12 | 7 | 2022 | 6 | 5758736 | 1025 | 232 | 868.210526316804 | 156.789473683196 | 793 | 4.02866184523826 | 2.72263694121759 | 0.180589233752258 | weekly | |||||||||
17238 | 17238 | South Korea | South Korea | 0 | 2022-01-17 | 2022-01-23 | 7 | 2022 | 3 | 51815808 | 6698 | 232 | 6635.64611423185 | 62.3538857681524 | 6466 | 0.447739809441937 | 0.120337572981883 | 0.00939680698680045 | weekly | |||||||||
20555 | 20555 | South Korea | South Korea | 0 | 2022-01-17 | 2022-01-23 | 7 | 2022 | 3 | 51815808 | 6698 | 232 | 6635.64611423185 | 62.3538857681524 | 6466 | 0.447739809441937 | 0.120337572981883 | 0.0093968069868009 | weekly | |||||||||
15720 | 15720 | Netherlands | Netherlands | 0 | 2021-11-15 | 2021-11-21 | 7 | 2021 | 46 | 17564020 | 3994 | 232 | 2923.57865168537 | 1070.42134831463 | 3762 | 1.32088212151888 | 6.09439836845227 | 0.366133932363187 | weekly | |||||||||
23767 | 23767 | Netherlands | Netherlands | 0 | 2021-11-15 | 2021-11-21 | 7 | 2021 | 46 | 17564020 | 3994 | 232 | 2923.57865168537 | 1070.42134831463 | 3762 | 1.32088212151888 | 6.09439836845226 | 0.366133932363187 | weekly | |||||||||
13515 | 13515 | France | France | 0 | 2021-11-08 | 2021-11-14 | 7 | 2021 | 45 | 67813000 | 12135 | 232 | 11546.4775280896 | 588.522471910437 | 11903 | 0.342117293144382 | 0.867860840709653 | 0.0509698711558288 | weekly | |||||||||
20054 | 20054 | France | France | 0 | 2021-11-08 | 2021-11-14 | 7 | 2021 | 45 | 67813000 | 12135 | 232 | 11546.4775280896 | 588.522471910437 | 11903 | 0.342117293144382 | 0.867860840709653 | 0.0509698711558322 | weekly | |||||||||
3135 | 3135 | United States | Colorado | CO | 2021-11-07 | 2021-11-13 | 7 | 2021 | 45 | 5758736 | 1120 | 232 | 799.466165414526 | 320.533834585474 | 888 | 4.02866184523826 | 5.56604495475177 | 0.400934834333203 | weekly | |||||||||
2671 | 2671 | United States | Arizona | AZ | 2021-09-12 | 2021-09-18 | 7 | 2021 | 37 | 7278717 | 1617 | 232 | 1128.21553885747 | 488.784461142527 | 1385 | 3.18737491785984 | 6.71525574002296 | 0.433236774630415 | weekly | |||||||||
7230 | 7230 | United States | New York | NY | 2021-09-05 | 2021-09-11 | 7 | 2021 | 36 | 19453561 | 3292 | 232 | 2761.18295739427 | 530.81704260573 | 3060 | 1.19258371256553 | 2.72863689380946 | 0.19224261876028 | weekly | |||||||||
21619 | 21619 | Bolivia | Bolivia | 0 | 2020-11-01 | 2020-11-30 | 30 | 2020 | 12224114 | 4642 | 232 | 4210.81713367584 | 431.182866324165 | 4410 | 1.89788805961725 | 3.52731385132833 | 0.102398858139859 | monthly | 11 | 1083.13333333333 | 54.1333333333333 | 982.523997857695 | 100.609335475638 | 1029.0 | 0.442840547244024 | 0.823039898643276 | ||
23833 | 23833 | Bolivia | Bolivia | 0 | 2020-11-01 | 2020-11-30 | 30 | 2020 | 12224114 | 4642 | 232 | 4210.81713367584 | 431.182866324165 | 4410 | 1.89788805961725 | 3.52731385132832 | 0.10239885813986 | monthly | 11 | 1083.13333333333 | 54.1333333333333 | 982.523997857695 | 100.609335475638 | 1029.0 | 0.442840547244024 | 0.823039898643276 | ||
12409 | 12409 | Croatia | Croatia | 0 | 2020-11-02 | 2020-11-08 | 7 | 2020 | 45 | 4030361 | 1287 | 232 | 943.667696629237 | 343.332303370763 | 1055 | 5.75630818182292 | 8.51864890938462 | 0.36382754713035 | weekly | |||||||||
23927 | 23927 | Croatia | Croatia | 0 | 2020-11-02 | 2020-11-08 | 7 | 2020 | 45 | 4030361 | 1287 | 232 | 943.667696629237 | 343.332303370763 | 1055 | 5.75630818182292 | 8.51864890938462 | 0.36382754713035 | weekly | |||||||||
5044 | 5044 | United States | Louisiana | LA | 2020-07-26 | 2020-08-01 | 7 | 2020 | 31 | 4648794 | 1205 | 232 | 830.616541354267 | 374.383458645733 | 973 | 4.99054163294824 | 8.0533458493909 | 0.45072959663833 | 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);