economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
18 rows where country = "Peru" and covid_deaths_per_100k = "0.0" sorted by end_date descending
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Suggested facets: start_date, end_date, week, total_deaths, expected_deaths, excess_deaths, excess_deaths_per_100k, excess_deaths_pct_change, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16090 | 16090 | Peru | Peru | 0 | 2020-02-24 | 2020-03-01 | 7 | 2020 | 9 | 34049588 | 2821.6 | 0 | 3102.26307692248 | -280.663076922478 | 2821.6 | 0.0 | -0.82427745358469 | -0.09047043076724 | weekly | |||||||||
24718 | 24718 | Peru | Peru | 0 | 2020-02-24 | 2020-03-01 | 7 | 2020 | 9 | 34049588 | 2821.6 | 0 | 3102.26307692248 | -280.663076922478 | 2821.6 | 0.0 | -0.824277453584688 | -0.0904704307672393 | weekly | |||||||||
16089 | 16089 | Peru | Peru | 0 | 2020-02-17 | 2020-02-23 | 7 | 2020 | 8 | 34049588 | 2765.3 | 0 | 2954.37230769176 | -189.07230769176 | 2765.3 | 0.0 | -0.555285155555362 | -0.0639974546198888 | weekly | |||||||||
24717 | 24717 | Peru | Peru | 0 | 2020-02-17 | 2020-02-23 | 7 | 2020 | 8 | 34049588 | 2765.3 | 0 | 2954.37230769176 | -189.07230769176 | 2765.3 | 0.0 | -0.555285155555362 | -0.0639974546198888 | weekly | |||||||||
16088 | 16088 | Peru | Peru | 0 | 2020-02-10 | 2020-02-16 | 7 | 2020 | 7 | 34049588 | 2756.8 | 0 | 2872.57230769176 | -115.77230769176 | 2756.8 | 0.0 | -0.340010891443855 | -0.0403026609223245 | weekly | |||||||||
24716 | 24716 | Peru | Peru | 0 | 2020-02-10 | 2020-02-16 | 7 | 2020 | 7 | 34049588 | 2756.8 | 0 | 2872.57230769176 | -115.77230769176 | 2756.8 | 0.0 | -0.340010891443855 | -0.0403026609223245 | weekly | |||||||||
16087 | 16087 | Peru | Peru | 0 | 2020-02-03 | 2020-02-09 | 7 | 2020 | 6 | 34049588 | 2722.7 | 0 | 2833.74730769176 | -111.047307691761 | 2722.7 | 0.0 | -0.326134071553996 | -0.0391874417984764 | weekly | |||||||||
24715 | 24715 | Peru | Peru | 0 | 2020-02-03 | 2020-02-09 | 7 | 2020 | 6 | 34049588 | 2722.7 | 0 | 2833.74730769176 | -111.047307691761 | 2722.7 | 0.0 | -0.326134071553995 | -0.0391874417984766 | weekly | |||||||||
16086 | 16086 | Peru | Peru | 0 | 2020-01-27 | 2020-02-02 | 7 | 2020 | 5 | 34049588 | 2597.3 | 0 | 2882.12230769176 | -284.822307691761 | 2597.3 | 0.0 | -0.836492669725581 | -0.0988238101247927 | weekly | |||||||||
24714 | 24714 | Peru | Peru | 0 | 2020-01-27 | 2020-02-02 | 7 | 2020 | 5 | 34049588 | 2597.3 | 0 | 2882.12230769176 | -284.822307691761 | 2597.3 | 0.0 | -0.83649266972558 | -0.0988238101247929 | weekly | |||||||||
16085 | 16085 | Peru | Peru | 0 | 2020-01-20 | 2020-01-26 | 7 | 2020 | 4 | 34049588 | 2736.6 | 0 | 2817.84730769176 | -81.2473076917609 | 2736.6 | 0.0 | -0.238614657222169 | -0.0288331122378358 | weekly | |||||||||
24713 | 24713 | Peru | Peru | 0 | 2020-01-20 | 2020-01-26 | 7 | 2020 | 4 | 34049588 | 2736.6 | 0 | 2817.84730769176 | -81.2473076917609 | 2736.6 | 0.0 | -0.238614657222169 | -0.0288331122378361 | weekly | |||||||||
16084 | 16084 | Peru | Peru | 0 | 2020-01-13 | 2020-01-19 | 7 | 2020 | 3 | 34049588 | 2666.4 | 0 | 2784.37230769176 | -117.97230769176 | 2666.4 | 0.0 | -0.346472056260299 | -0.0423694444043508 | weekly | |||||||||
24712 | 24712 | Peru | Peru | 0 | 2020-01-13 | 2020-01-19 | 7 | 2020 | 3 | 34049588 | 2666.4 | 0 | 2784.37230769176 | -117.97230769176 | 2666.4 | 0.0 | -0.3464720562603 | -0.0423694444043509 | weekly | |||||||||
16083 | 16083 | Peru | Peru | 0 | 2020-01-06 | 2020-01-12 | 7 | 2020 | 2 | 34049588 | 2778 | 0 | 2803.92230769176 | -25.9223076917606 | 2778 | 0.0 | -0.076131046554104 | -0.00924501639030784 | weekly | |||||||||
24711 | 24711 | Peru | Peru | 0 | 2020-01-06 | 2020-01-12 | 7 | 2020 | 2 | 34049588 | 2778 | 0 | 2803.92230769176 | -25.9223076917606 | 2778 | 0.0 | -0.0761310465541039 | -0.00924501639030806 | weekly | |||||||||
16082 | 16082 | Peru | Peru | 0 | 2019-12-30 | 2020-01-05 | 7 | 2020 | 1 | 34049588 | 2705.7 | 0 | 2794.02230769052 | -88.3223076905206 | 2705.7 | 0.0 | -0.25939317588959 | -0.0316111676873209 | weekly | |||||||||
24710 | 24710 | Peru | Peru | 0 | 2019-12-30 | 2020-01-05 | 7 | 2020 | 1 | 34049588 | 2705.7 | 0 | 2794.02230769052 | -88.3223076905206 | 2705.7 | 0.0 | -0.25939317588959 | -0.031611167687321 | 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);