economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
13 rows where cadence = "monthly" and covid_deaths = 13 sorted by end_date descending
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Suggested facets: region, start_date, end_date, year, total_deaths, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_per_100k, excess_deaths_pct_change, total_deaths_per_7_days, covid_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)
country 6
- Aruba 4
- Bosnia and Herzegovina 2
- Greenland 2
- Seychelles 2
- Suriname 2
- Isle of Man 1
cadence 1
- monthly · 13 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18233 | 18233 | Greenland | Greenland | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 56494 | 52 | 13 | 46.2672586824869 | 5.73274131751307 | 39 | 23.0112932346798 | 10.1475224227583 | 0.123904927172247 | monthly | 2 | 13.0 | 3.25 | 11.5668146706217 | 1.43318532937827 | 9.75 | 5.75282330866995 | 2.53688060568957 | ||
21962 | 21962 | Greenland | Greenland | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 56494 | 52 | 13 | 46.2672586824869 | 5.73274131751307 | 39 | 23.0112932346798 | 10.1475224227583 | 0.123904927172248 | monthly | 2 | 13.0 | 3.25 | 11.5668146706217 | 1.43318532937827 | 9.75 | 5.75282330866995 | 2.53688060568957 | ||
11067 | 11067 | Isle of Man | Isle of Man | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 84534 | 89 | 13 | 64.1837373683872 | 24.8162626316128 | 76 | 15.3784276149242 | 29.3565460425542 | 0.386644088504507 | monthly | 9 | 20.7666666666667 | 3.03333333333333 | 14.976205385957 | 5.79046128070964 | 17.7333333333333 | 3.58829977681564 | 6.84986074326264 | ||
22891 | 22891 | Seychelles | Seychelles | 0 | 2021-05-01 | 2021-05-31 | 31 | 2021 | 107135 | 91 | 13 | 71.6224435930176 | 19.3775564069824 | 78 | 12.1342231763663 | 18.0870456965347 | 0.270551456148188 | monthly | 5 | 20.5483870967742 | 2.93548387096774 | 16.1728098435846 | 4.37557725318958 | 17.6129032258065 | 2.73998587853432 | 4.08417160889492 | ||
23627 | 23627 | Seychelles | Seychelles | 0 | 2021-05-01 | 2021-05-31 | 31 | 2021 | 107135 | 91 | 13 | 71.6224435930176 | 19.3775564069824 | 78 | 12.1342231763663 | 18.0870456965347 | 0.270551456148189 | monthly | 5 | 20.5483870967742 | 2.93548387096774 | 16.1728098435846 | 4.37557725318958 | 17.6129032258065 | 2.73998587853432 | 4.08417160889492 | ||
21446 | 21446 | Aruba | Aruba | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 106459 | 95 | 13 | 59.1998622808406 | 35.8001377191594 | 82 | 12.2112738237256 | 33.6280988165955 | 0.604733462880804 | monthly | 4 | 22.1666666666667 | 3.03333333333333 | 13.8133011988628 | 8.35336546780385 | 19.1333333333333 | 2.84929722553597 | 7.84655639053894 | ||
24518 | 24518 | Aruba | Aruba | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 106459 | 95 | 13 | 59.1998622808406 | 35.8001377191594 | 82 | 12.2112738237256 | 33.6280988165955 | 0.604733462880803 | monthly | 4 | 22.1666666666667 | 3.03333333333333 | 13.8133011988628 | 8.35336546780385 | 19.1333333333333 | 2.84929722553597 | 7.84655639053894 | ||
21445 | 21445 | Aruba | Aruba | 0 | 2021-03-01 | 2021-03-31 | 31 | 2021 | 106459 | 80 | 13 | 57.719857690202 | 22.280142309798 | 67 | 12.2112738237256 | 20.9283783520398 | 0.386004803223555 | monthly | 3 | 18.0645161290323 | 2.93548387096774 | 13.0335162526263 | 5.03099987640601 | 15.1290322580645 | 2.757384411809 | 4.7257628536864 | ||
24517 | 24517 | Aruba | Aruba | 0 | 2021-03-01 | 2021-03-31 | 31 | 2021 | 106459 | 80 | 13 | 57.719857690202 | 22.280142309798 | 67 | 12.2112738237256 | 20.9283783520398 | 0.386004803223555 | monthly | 3 | 18.0645161290323 | 2.93548387096774 | 13.0335162526263 | 5.03099987640601 | 15.1290322580645 | 2.757384411809 | 4.7257628536864 | ||
22938 | 22938 | Suriname | Suriname | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 618046 | 337 | 13 | 332.221096515232 | 4.77890348476836 | 324 | 2.10340330655 | 0.773227799349621 | 0.0143847080600703 | monthly | 7 | 76.0967741935484 | 2.93548387096774 | 75.0176669550523 | 1.07910723849608 | 73.1612903225806 | 0.474962036962903 | 0.174599825659592 | ||
23305 | 23305 | Suriname | Suriname | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 618046 | 337 | 13 | 332.221096515232 | 4.77890348476836 | 324 | 2.10340330655 | 0.773227799349622 | 0.0143847080600712 | monthly | 7 | 76.0967741935484 | 2.93548387096774 | 75.0176669550523 | 1.07910723849608 | 73.1612903225806 | 0.474962036962903 | 0.174599825659592 | ||
21636 | 21636 | Bosnia and Herzegovina | Bosnia and Herzegovina | 0 | 2020-03-01 | 2020-03-31 | 31 | 2020 | 3233530 | 2970 | 13 | 3323.25681171322 | -353.256811713225 | 2957 | 0.402037401848754 | -10.9248039051199 | -0.10629837888788 | monthly | 3 | 670.645161290323 | 2.93548387096774 | 750.412828451373 | -79.7676671610507 | 667.709677419355 | 0.0907826391271379 | -2.46689120438192 | ||
24529 | 24529 | Bosnia and Herzegovina | Bosnia and Herzegovina | 0 | 2020-03-01 | 2020-03-31 | 31 | 2020 | 3233530 | 2970 | 13 | 3323.25681171322 | -353.256811713225 | 2957 | 0.402037401848754 | -10.9248039051199 | -0.106298378887881 | monthly | 3 | 670.645161290323 | 2.93548387096774 | 750.412828451373 | -79.7676671610507 | 667.709677419355 | 0.0907826391271379 | -2.46689120438192 |
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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);