economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
6 rows where country = "Brazil" and month = 1 sorted by covid_deaths
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Suggested facets: start_date, year, total_deaths, covid_deaths, expected_deaths, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, 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)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
413 | 413 | Brazil | Brazil | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 215313504 | 110932 | 0 | 111661.575161922 | -729.575161922316 | 110932 | 0.0 | -0.338843197648354 | -0.0065338068253501 | monthly | 1 | 25049.1612903226 | 0.0 | 25213.9040688212 | -164.742778498587 | 25049.1612903226 | 0.0 | -0.0765129801141444 | ||
21667 | 21667 | Brazil | Brazil | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 215313504 | 110932 | 0 | 111661.575161922 | -729.575161922316 | 110932 | 0.0 | -0.338843197648354 | -0.00653380682534732 | monthly | 1 | 25049.1612903226 | 0.0 | 25213.9040688212 | -164.742778498587 | 25049.1612903226 | 0.0 | -0.0765129801141444 | ||
437 | 437 | Brazil | Brazil | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 215313504 | 167728 | 8255 | 114732.701958128 | 52995.2980418722 | 159473 | 3.83394438650722 | 24.6130860616491 | 0.46190229234916 | monthly | 1 | 37874.064516129 | 1864.03225806452 | 25907.3843131256 | 11966.6802030034 | 36010.0322580645 | 0.865729377598405 | 5.55779362682398 | ||
21691 | 21691 | Brazil | Brazil | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 215313504 | 167728 | 8255 | 114732.701958128 | 52995.2980418722 | 159473 | 3.83394438650722 | 24.6130860616491 | 0.461902292349158 | monthly | 1 | 37874.064516129 | 1864.03225806452 | 25907.3843131256 | 11966.6802030034 | 36010.0322580645 | 0.865729377598405 | 5.55779362682398 | ||
425 | 425 | Brazil | Brazil | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 215313504 | 151728 | 29576 | 113197.138560025 | 38530.8614399749 | 122152 | 13.7362494458313 | 17.8952368170902 | 0.340387238848296 | monthly | 1 | 34261.1612903226 | 6678.45161290323 | 25560.6441909734 | 8700.51709934918 | 27582.7096774194 | 3.10173374583288 | 4.04085992643972 | ||
21679 | 21679 | Brazil | Brazil | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 215313504 | 151728 | 29576 | 113197.138560025 | 38530.8614399749 | 122152 | 13.7362494458313 | 17.8952368170902 | 0.340387238848297 | monthly | 1 | 34261.1612903226 | 6678.45161290323 | 25560.6441909734 | 8700.51709934918 | 27582.7096774194 | 3.10173374583288 | 4.04085992643972 |
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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);