economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
20 rows where country = "Denmark" and covid_deaths_per_100k = "0.0340005429886715" sorted by population
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Suggested facets: start_date, end_date, year, week, total_deaths, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_pct_change, start_date (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12821 | 12821 | Denmark | Denmark | 0 | 2020-03-09 | 2020-03-15 | 7 | 2020 | 11 | 5882259 | 1066 | 2 | 1179.68286516852 | -113.682865168525 | 1064 | 0.0340005429886715 | -1.93263957211889 | -0.0963673106774169 | weekly | |||||||||
12837 | 12837 | Denmark | Denmark | 0 | 2020-06-29 | 2020-07-05 | 7 | 2020 | 27 | 5882259 | 996 | 2 | 964.082865168525 | 31.9171348314752 | 994 | 0.0340005429886715 | 0.542599957456399 | 0.0331062152275632 | weekly | |||||||||
12839 | 12839 | Denmark | Denmark | 0 | 2020-07-13 | 2020-07-19 | 7 | 2020 | 29 | 5882259 | 1026 | 2 | 979.482865168524 | 46.5171348314759 | 1024 | 0.0340005429886715 | 0.790803921273713 | 0.0474915248501795 | weekly | |||||||||
12840 | 12840 | Denmark | Denmark | 0 | 2020-07-20 | 2020-07-26 | 7 | 2020 | 30 | 5882259 | 944 | 2 | 1000.68286516852 | -56.6828651685248 | 942 | 0.0340005429886715 | -0.96362409694175 | -0.0566441848277019 | weekly | |||||||||
12841 | 12841 | Denmark | Denmark | 0 | 2020-07-27 | 2020-08-02 | 7 | 2020 | 31 | 5882259 | 983 | 2 | 987.282865168525 | -4.28286516852495 | 981 | 0.0340005429886715 | -0.0728098706385582 | -0.00433803251289477 | weekly | |||||||||
12842 | 12842 | Denmark | Denmark | 0 | 2020-08-03 | 2020-08-09 | 7 | 2020 | 32 | 5882259 | 957 | 2 | 977.882865168525 | -20.8828651685245 | 955 | 0.0340005429886715 | -0.355014377444524 | -0.0213551805766902 | weekly | |||||||||
12845 | 12845 | Denmark | Denmark | 0 | 2020-08-24 | 2020-08-30 | 7 | 2020 | 35 | 5882259 | 953 | 2 | 962.482865168525 | -9.482865168525 | 951 | 0.0340005429886715 | -0.161211282409105 | -0.00985250284623462 | weekly | |||||||||
12885 | 12885 | Denmark | Denmark | 0 | 2021-05-31 | 2021-06-06 | 7 | 2021 | 22 | 5882259 | 1031 | 2 | 997.843820224707 | 33.1561797752929 | 1029 | 0.0340005429886715 | 0.563664057894984 | 0.0332278249394042 | weekly | |||||||||
12888 | 12888 | Denmark | Denmark | 0 | 2021-06-21 | 2021-06-27 | 7 | 2021 | 25 | 5882259 | 1006 | 2 | 998.443820224707 | 7.55617977529255 | 1004 | 0.0340005429886715 | 0.128457107639982 | 0.00756795687672485 | weekly | |||||||||
12890 | 12890 | Denmark | Denmark | 0 | 2021-07-05 | 2021-07-11 | 7 | 2021 | 27 | 5882259 | 956 | 2 | 971.243820224707 | -15.2438202247068 | 954 | 0.0340005429886715 | -0.259149082430862 | -0.0156951528620075 | weekly | |||||||||
18930 | 18930 | Denmark | Denmark | 0 | 2020-03-09 | 2020-03-15 | 7 | 2020 | 11 | 5882259 | 1066 | 2 | 1179.68286516852 | -113.682865168525 | 1064 | 0.0340005429886715 | -1.93263957211888 | -0.0963673106774203 | weekly | |||||||||
18946 | 18946 | Denmark | Denmark | 0 | 2020-06-29 | 2020-07-05 | 7 | 2020 | 27 | 5882259 | 996 | 2 | 964.082865168525 | 31.9171348314752 | 994 | 0.0340005429886715 | 0.542599957456399 | 0.0331062152275634 | weekly | |||||||||
18948 | 18948 | Denmark | Denmark | 0 | 2020-07-13 | 2020-07-19 | 7 | 2020 | 29 | 5882259 | 1026 | 2 | 979.482865168524 | 46.5171348314759 | 1024 | 0.0340005429886715 | 0.790803921273713 | 0.0474915248501795 | weekly | |||||||||
18949 | 18949 | Denmark | Denmark | 0 | 2020-07-20 | 2020-07-26 | 7 | 2020 | 30 | 5882259 | 944 | 2 | 1000.68286516852 | -56.6828651685248 | 942 | 0.0340005429886715 | -0.96362409694175 | -0.0566441848277065 | weekly | |||||||||
18950 | 18950 | Denmark | Denmark | 0 | 2020-07-27 | 2020-08-02 | 7 | 2020 | 31 | 5882259 | 983 | 2 | 987.282865168525 | -4.28286516852495 | 981 | 0.0340005429886715 | -0.0728098706385582 | -0.00433803251289477 | weekly | |||||||||
18951 | 18951 | Denmark | Denmark | 0 | 2020-08-03 | 2020-08-09 | 7 | 2020 | 32 | 5882259 | 957 | 2 | 977.882865168525 | -20.8828651685245 | 955 | 0.0340005429886715 | -0.355014377444525 | -0.0213551805766896 | weekly | |||||||||
18954 | 18954 | Denmark | Denmark | 0 | 2020-08-24 | 2020-08-30 | 7 | 2020 | 35 | 5882259 | 953 | 2 | 962.482865168525 | -9.482865168525 | 951 | 0.0340005429886715 | -0.161211282409105 | -0.00985250284623462 | weekly | |||||||||
18994 | 18994 | Denmark | Denmark | 0 | 2021-05-31 | 2021-06-06 | 7 | 2021 | 22 | 5882259 | 1031 | 2 | 997.843820224707 | 33.1561797752929 | 1029 | 0.0340005429886715 | 0.563664057894984 | 0.0332278249394042 | weekly | |||||||||
18997 | 18997 | Denmark | Denmark | 0 | 2021-06-21 | 2021-06-27 | 7 | 2021 | 25 | 5882259 | 1006 | 2 | 998.443820224707 | 7.55617977529255 | 1004 | 0.0340005429886715 | 0.128457107639982 | 0.0075679568767244 | weekly | |||||||||
18999 | 18999 | Denmark | Denmark | 0 | 2021-07-05 | 2021-07-11 | 7 | 2021 | 27 | 5882259 | 956 | 2 | 971.243820224707 | -15.2438202247068 | 954 | 0.0340005429886715 | -0.259149082430863 | -0.0156951528620074 | 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);