economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
8 rows where cadence = "monthly" and covid_deaths_per_100k = "0.013353161888527" sorted by end_date descending
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Suggested facets: start_date, end_date, days, total_deaths, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_per_100k, excess_deaths_pct_change, 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, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
620 | 620 | Hong Kong | Hong Kong | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 7488863 | 3877 | 1 | 3722.04039644286 | 154.959603557139 | 3876 | 0.013353161888527 | 2.06920067248044 | 0.041632971986342 | monthly | 9 | 904.633333333333 | 0.233333333333333 | 868.476092503334 | 36.1572408299991 | 904.4 | 0.00311573777398963 | 0.482813490245436 | ||
21990 | 21990 | Hong Kong | Hong Kong | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 7488863 | 3877 | 1 | 3722.04039644286 | 154.959603557139 | 3876 | 0.013353161888527 | 2.06920067248044 | 0.0416329719863422 | monthly | 9 | 904.633333333333 | 0.233333333333333 | 868.476092503334 | 36.1572408299991 | 904.4 | 0.00311573777398963 | 0.482813490245436 | ||
618 | 618 | Hong Kong | Hong Kong | 0 | 2021-07-01 | 2021-07-31 | 31 | 2021 | 7488863 | 4141 | 1 | 4035.52840965762 | 105.471590342378 | 4140 | 0.013353161888527 | 1.40837922048217 | 0.0261357571142278 | monthly | 7 | 935.064516129032 | 0.225806451612903 | 911.24835056785 | 23.816165561182 | 934.83870967742 | 0.00301523010386094 | 0.318021114302425 | ||
21988 | 21988 | Hong Kong | Hong Kong | 0 | 2021-07-01 | 2021-07-31 | 31 | 2021 | 7488863 | 4141 | 1 | 4035.52840965762 | 105.471590342378 | 4140 | 0.013353161888527 | 1.40837922048217 | 0.0261357571142284 | monthly | 7 | 935.064516129032 | 0.225806451612903 | 911.24835056785 | 23.816165561182 | 934.83870967742 | 0.00301523010386094 | 0.318021114302425 | ||
617 | 617 | Hong Kong | Hong Kong | 0 | 2021-06-01 | 2021-06-30 | 30 | 2021 | 7488863 | 4022 | 1 | 3875.24039644286 | 146.75960355714 | 4021 | 0.013353161888527 | 1.95970474499453 | 0.0378710966400568 | monthly | 6 | 938.466666666667 | 0.233333333333333 | 904.222759170001 | 34.2439074966659 | 938.233333333333 | 0.00311573777398963 | 0.457264440498723 | ||
21987 | 21987 | Hong Kong | Hong Kong | 0 | 2021-06-01 | 2021-06-30 | 30 | 2021 | 7488863 | 4022 | 1 | 3875.24039644286 | 146.75960355714 | 4021 | 0.013353161888527 | 1.95970474499453 | 0.0378710966400568 | monthly | 6 | 938.466666666667 | 0.233333333333333 | 904.222759170001 | 34.2439074966659 | 938.233333333333 | 0.00311573777398963 | 0.457264440498723 | ||
616 | 616 | Hong Kong | Hong Kong | 0 | 2021-05-01 | 2021-05-31 | 31 | 2021 | 7488863 | 4173 | 1 | 4106.72840965762 | 66.2715903423768 | 4172 | 0.013353161888527 | 0.884935274451901 | 0.0161373199616826 | monthly | 5 | 942.290322580645 | 0.225806451612903 | 927.325769922689 | 14.9645526579561 | 942.064516129032 | 0.00301523010386094 | 0.199824094231074 | ||
21986 | 21986 | Hong Kong | Hong Kong | 0 | 2021-05-01 | 2021-05-31 | 31 | 2021 | 7488863 | 4173 | 1 | 4106.72840965762 | 66.2715903423768 | 4172 | 0.013353161888527 | 0.8849352744519 | 0.0161373199616832 | monthly | 5 | 942.290322580645 | 0.225806451612903 | 927.325769922689 | 14.9645526579561 | 942.064516129032 | 0.00301523010386094 | 0.199824094231074 |
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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);