economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
10 rows where cadence = "monthly" and covid_deaths = 79 sorted by end_date descending
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Suggested facets: region, start_date, end_date, days, population, total_deaths, expected_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, excess_deaths_pct_change, month, total_deaths_per_7_days, covid_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)
country 4
- Uzbekistan 4
- Barbados 2
- Kuwait 2
- Kyrgyzstan 2
cadence 1
- monthly · 10 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23095 | 23095 | Uzbekistan | Uzbekistan | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 34627648 | 11848 | 79 | 10597.8017747673 | 1250.19822523268 | 11769 | 0.228141397301948 | 3.61040468365821 | 0.117967692904895 | monthly | 1 | 2675.35483870968 | 17.8387096774194 | 2393.05201365714 | 282.30282505254 | 2657.51612903226 | 0.0515157993907624 | 0.815252670503465 | ||
24494 | 24494 | Uzbekistan | Uzbekistan | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 34627648 | 11848 | 79 | 10597.8017747673 | 1250.19822523268 | 11769 | 0.228141397301948 | 3.6104046836582 | 0.117967692904893 | monthly | 1 | 2675.35483870968 | 17.8387096774194 | 2393.05201365714 | 282.30282505254 | 2657.51612903226 | 0.0515157993907624 | 0.815252670503465 | ||
23093 | 23093 | Uzbekistan | Uzbekistan | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 34627648 | 12981 | 79 | 13053.5986592981 | -72.5986592980644 | 12902 | 0.228141397301948 | -0.209655184487449 | -0.00556158199688395 | monthly | 11 | 3028.9 | 18.4333333333333 | 3045.83968716955 | -16.9396871695484 | 3010.46666666667 | 0.0532329927037878 | -0.0489195430470714 | ||
24492 | 24492 | Uzbekistan | Uzbekistan | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 34627648 | 12981 | 79 | 13053.5986592981 | -72.5986592980644 | 12902 | 0.228141397301948 | -0.209655184487449 | -0.00556158199688117 | monthly | 11 | 3028.9 | 18.4333333333333 | 3045.83968716955 | -16.9396871695484 | 3010.46666666667 | 0.0532329927037878 | -0.0489195430470714 | ||
18014 | 18014 | Barbados | Barbados | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 281646 | 279 | 79 | 251.671742382781 | 27.3282576172189 | 200 | 28.0493953402498 | 9.70305192234893 | 0.108586913089567 | monthly | 10 | 63.0 | 17.8387096774194 | 56.8291031186925 | 6.17089688130749 | 45.1612903225806 | 6.33373443166931 | 2.19101172440137 | ||
21534 | 21534 | Barbados | Barbados | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 281646 | 279 | 79 | 251.671742382781 | 27.3282576172189 | 200 | 28.0493953402498 | 9.70305192234894 | 0.108586913089567 | monthly | 10 | 63.0 | 17.8387096774194 | 56.8291031186925 | 6.17089688130749 | 45.1612903225806 | 6.33373443166931 | 2.19101172440137 | ||
10988 | 10988 | Kyrgyzstan | Kyrgyzstan | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 6630621 | 3307 | 79 | 2487.24279063745 | 819.757209362546 | 3228 | 1.19144194789598 | 12.3632041306922 | 0.329584716236106 | monthly | 9 | 771.633333333333 | 18.4333333333333 | 580.356651148739 | 191.276682184594 | 753.2 | 0.278003121175729 | 2.88474763049485 | ||
22229 | 22229 | Kyrgyzstan | Kyrgyzstan | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 6630621 | 3307 | 79 | 2487.24279063745 | 819.757209362546 | 3228 | 1.19144194789598 | 12.3632041306922 | 0.329584716236108 | monthly | 9 | 771.633333333333 | 18.4333333333333 | 580.356651148739 | 191.276682184594 | 753.2 | 0.278003121175729 | 2.88474763049485 | ||
979 | 979 | Kuwait | Kuwait | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 4268886 | 878 | 79 | 559.351314511713 | 318.648685488287 | 799 | 1.85059989889634 | 7.46444588795032 | 0.569675402955747 | monthly | 9 | 204.866666666667 | 18.4333333333333 | 130.5153067194 | 74.3513599472669 | 186.433333333333 | 0.431806643075813 | 1.74170404052174 | ||
22193 | 22193 | Kuwait | Kuwait | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 4268886 | 878 | 79 | 559.351314511713 | 318.648685488287 | 799 | 1.85059989889634 | 7.46444588795032 | 0.569675402955747 | monthly | 9 | 204.866666666667 | 18.4333333333333 | 130.5153067194 | 74.3513599472669 | 186.433333333333 | 0.431806643075813 | 1.74170404052174 |
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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);