economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
9 rows where cadence = "monthly", covid_deaths = 3 and "start_date" is on date 2020-05-01 sorted by end_date descending
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Suggested facets: population, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, total_deaths_per_7_days, expected_deaths_per_7_days, excess_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 5
- Bermuda 2
- Cape Verde 2
- Lebanon 2
- Thailand 2
- Isle of Man 1
cadence 1
- monthly · 9 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
951 | 951 | Lebanon | Lebanon | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 5489744 | 2183 | 3 | 2152.59989053092 | 30.4001094690821 | 2180 | 0.0546473569623647 | 0.55376187795063 | 0.0141225081366998 | monthly | 5 | 492.935483870968 | 0.67741935483871 | 486.07094302311 | 6.86454084785724 | 492.258064516129 | 0.0123397257656953 | 0.125043004698529 | ||
10399 | 10399 | Thailand | Thailand | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 71697024 | 39674 | 3 | 42041.7557334429 | -2367.75573344286 | 39671 | 0.004184274092046 | -3.30244632391278 | -0.0563191449104822 | monthly | 5 | 8958.64516129032 | 0.67741935483871 | 9493.29968174516 | -534.65452045484 | 8957.96774193548 | 0.000944836085300709 | -0.745713686044821 | ||
11051 | 11051 | Isle of Man | Isle of Man | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 84534 | 86 | 3 | 74.0723964605001 | 11.9276035394999 | 83 | 3.54886791113635 | 14.1098298193626 | 0.161026294671868 | monthly | 5 | 19.4193548387097 | 0.67741935483871 | 16.7260250072097 | 2.69332983149999 | 18.741935483871 | 0.801357270256595 | 3.18609060437219 | ||
19925 | 19925 | Bermuda | Bermuda | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 64207 | 48 | 3 | 45.2606595511773 | 2.73934044882269 | 45 | 4.6723877458844 | 4.26642024829487 | 0.0605236529026991 | monthly | 5 | 10.8387096774194 | 0.67741935483871 | 10.220148930911 | 0.618560746508349 | 10.1612903225806 | 1.05505529745777 | 0.963385217356906 | ||
19949 | 19949 | Cape Verde | Cape Verde | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 593162 | 206 | 3 | 208.622494982668 | -2.62249498266843 | 203 | 0.505764023993445 | -0.442121205112335 | -0.0125705283262301 | monthly | 5 | 46.5161290322581 | 0.67741935483871 | 47.1083053186671 | -0.592176286409 | 45.8387096774194 | 0.114204779611423 | -0.0998338205092369 | ||
21589 | 21589 | Bermuda | Bermuda | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 64207 | 48 | 3 | 45.2606595511773 | 2.73934044882269 | 45 | 4.6723877458844 | 4.26642024829487 | 0.0605236529026993 | monthly | 5 | 10.8387096774194 | 0.67741935483871 | 10.220148930911 | 0.618560746508349 | 10.1612903225806 | 1.05505529745777 | 0.963385217356906 | ||
21717 | 21717 | Cape Verde | Cape Verde | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 593162 | 206 | 3 | 208.622494982668 | -2.62249498266843 | 203 | 0.505764023993445 | -0.442121205112335 | -0.0125705283262281 | monthly | 5 | 46.5161290322581 | 0.67741935483871 | 47.1083053186671 | -0.592176286409 | 45.8387096774194 | 0.114204779611423 | -0.0998338205092369 | ||
22247 | 22247 | Lebanon | Lebanon | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 5489744 | 2183 | 3 | 2152.59989053092 | 30.4001094690821 | 2180 | 0.0546473569623647 | 0.553761877950631 | 0.0141225081366987 | monthly | 5 | 492.935483870968 | 0.67741935483871 | 486.07094302311 | 6.86454084785724 | 492.258064516129 | 0.0123397257656953 | 0.125043004698529 | ||
22983 | 22983 | Thailand | Thailand | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 71697024 | 39674 | 3 | 42041.7557334429 | -2367.75573344286 | 39671 | 0.004184274092046 | -3.30244632391278 | -0.056319144910483 | monthly | 5 | 8958.64516129032 | 0.67741935483871 | 9493.29968174516 | -534.65452045484 | 8957.96774193548 | 0.0009448360853007 | -0.745713686044821 |
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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);