economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
10 rows where country = "Thailand" and covid_deaths_per_100k = "0.0" sorted by end_date descending
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Suggested facets: start_date, end_date, days, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_per_100k, month, total_deaths_per_7_days, expected_deaths_per_7_days, excess_deaths_per_7_days, non_covid_deaths_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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10404 | 10404 | Thailand | Thailand | 0 | 2020-10-01 | 2020-10-31 | 31 | 2020 | 71697024 | 41640 | 0 | 43436.5557334429 | -1796.55573344286 | 41640 | 0.0 | -2.50576053678722 | -0.0413604555680654 | monthly | 10 | 9402.58064516129 | 0.0 | 9808.25452045484 | -405.673875293549 | 9402.58064516129 | 0.0 | -0.565816895403565 | ||
22988 | 22988 | Thailand | Thailand | 0 | 2020-10-01 | 2020-10-31 | 31 | 2020 | 71697024 | 41640 | 0 | 43436.5557334429 | -1796.55573344286 | 41640 | 0.0 | -2.50576053678722 | -0.0413604555680663 | monthly | 10 | 9402.58064516129 | 0.0 | 9808.25452045484 | -405.673875293549 | 9402.58064516129 | 0.0 | -0.565816895403565 | ||
10402 | 10402 | Thailand | Thailand | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 71697024 | 40999 | 0 | 41750.1557334429 | -751.155733442865 | 40999 | 0.0 | -1.04768049151226 | -0.0179916869828864 | monthly | 8 | 9257.83870967742 | 0.0 | 9427.45452045484 | -169.615810777421 | 9257.83870967742 | 0.0 | -0.236573014212447 | ||
22986 | 22986 | Thailand | Thailand | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 71697024 | 40999 | 0 | 41750.1557334429 | -751.155733442865 | 40999 | 0.0 | -1.04768049151226 | -0.0179916869828873 | monthly | 8 | 9257.83870967742 | 0.0 | 9427.45452045484 | -169.615810777421 | 9257.83870967742 | 0.0 | -0.236573014212447 | ||
10401 | 10401 | Thailand | Thailand | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 71697024 | 39817 | 0 | 40854.9557334429 | -1037.95573344286 | 39817 | 0.0 | -1.44769709471185 | -0.0254058709600612 | monthly | 7 | 8990.93548387097 | 0.0 | 9225.31258497097 | -234.377101100001 | 8990.93548387097 | 0.0 | -0.326899343967193 | ||
22985 | 22985 | Thailand | Thailand | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 71697024 | 39817 | 0 | 40854.9557334429 | -1037.95573344286 | 39817 | 0.0 | -1.44769709471185 | -0.0254058709600621 | monthly | 7 | 8990.93548387097 | 0.0 | 9225.31258497097 | -234.377101100001 | 8990.93548387097 | 0.0 | -0.326899343967193 | ||
10396 | 10396 | Thailand | Thailand | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 71697024 | 39758 | 0 | 40637.462994965 | -879.462994965048 | 39758 | 0.0 | -1.22663807491514 | -0.0216416806106723 | monthly | 2 | 9596.75862068966 | 0.0 | 9809.04279188812 | -212.28417119846 | 9596.75862068966 | 0.0 | -0.296085052565724 | ||
22980 | 22980 | Thailand | Thailand | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 71697024 | 39758 | 0 | 40637.462994965 | -879.462994965048 | 39758 | 0.0 | -1.22663807491514 | -0.0216416806106711 | monthly | 2 | 9596.75862068966 | 0.0 | 9809.04279188812 | -212.28417119846 | 9596.75862068966 | 0.0 | -0.296085052565724 | ||
10395 | 10395 | Thailand | Thailand | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 71697024 | 47125 | 0 | 45206.7964445356 | 1918.20355546442 | 47125 | 0.0 | 2.67542981346677 | 0.0424317515579296 | monthly | 1 | 10641.1290322581 | 0.0 | 10207.9862939274 | 433.142738330676 | 10641.1290322581 | 0.0 | 0.604129312718303 | ||
22979 | 22979 | Thailand | Thailand | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 71697024 | 47125 | 0 | 45206.7964445356 | 1918.20355546442 | 47125 | 0.0 | 2.67542981346676 | 0.0424317515579291 | monthly | 1 | 10641.1290322581 | 0.0 | 10207.9862939274 | 433.142738330676 | 10641.1290322581 | 0.0 | 0.604129312718303 |
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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);