economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
18 rows where cadence = "monthly", country = "Malaysia" and year = 2022 sorted by end_date descending
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Suggested facets: start_date, end_date, days, total_deaths, covid_deaths, expected_deaths, excess_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, 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, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10210 | 10210 | Malaysia | Malaysia | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 33938216 | 15191 | 158 | 14993.6713673629 | 197.328632637069 | 15033 | 0.465551872261052 | 0.581434901106967 | 0.013160794831518 | monthly | 9 | 3544.56666666667 | 36.8666666666667 | 3498.52331905135 | 46.0433476153161 | 3507.7 | 0.108628770194246 | 0.135668143591626 | ||
22362 | 22362 | Malaysia | Malaysia | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 33938216 | 15191 | 158 | 14993.6713673629 | 197.328632637069 | 15033 | 0.465551872261052 | 0.581434901106967 | 0.01316079483152 | monthly | 9 | 3544.56666666667 | 36.8666666666667 | 3498.52331905135 | 46.0433476153161 | 3507.7 | 0.108628770194246 | 0.135668143591626 | ||
10209 | 10209 | Malaysia | Malaysia | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 33938216 | 15986 | 269 | 15812.8204129417 | 173.179587058305 | 15717 | 0.792616795178627 | 0.510278993622719 | 0.0109518468265515 | monthly | 8 | 3609.74193548387 | 60.741935483871 | 3570.63686743845 | 39.1050680454236 | 3549.0 | 0.178977986008077 | 0.115224288882549 | ||
22361 | 22361 | Malaysia | Malaysia | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 33938216 | 15986 | 269 | 15812.8204129417 | 173.179587058305 | 15717 | 0.792616795178627 | 0.51027899362272 | 0.0109518468265513 | monthly | 8 | 3609.74193548387 | 60.741935483871 | 3570.63686743845 | 39.1050680454236 | 3549.0 | 0.178977986008077 | 0.115224288882549 | ||
10208 | 10208 | Malaysia | Malaysia | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 33938216 | 19099 | 204 | 16213.4204129417 | 2885.5795870583 | 18895 | 0.601092290767435 | 8.50244923615992 | 0.177974758784088 | monthly | 7 | 4312.67741935484 | 46.0645161290323 | 3661.09493195458 | 651.582487400262 | 4266.61290322581 | 0.135730517270066 | 1.91990789203611 | ||
22360 | 22360 | Malaysia | Malaysia | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 33938216 | 19099 | 204 | 16213.4204129417 | 2885.5795870583 | 18895 | 0.601092290767435 | 8.50244923615991 | 0.177974758784088 | monthly | 7 | 4312.67741935484 | 46.0645161290323 | 3661.09493195458 | 651.582487400262 | 4266.61290322581 | 0.135730517270066 | 1.91990789203611 | ||
10207 | 10207 | Malaysia | Malaysia | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 33938216 | 14038 | 89 | 15595.2713673629 | -1557.27136736293 | 13949 | 0.262241244501479 | -4.58854810566039 | -0.0998553555548842 | monthly | 6 | 3275.53333333333 | 20.7666666666667 | 3638.89665238468 | -363.363319051351 | 3254.76666666667 | 0.0611896237170117 | -1.07066122465409 | ||
22359 | 22359 | Malaysia | Malaysia | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 33938216 | 14038 | 89 | 15595.2713673629 | -1557.27136736293 | 13949 | 0.262241244501479 | -4.58854810566039 | -0.0998553555548825 | monthly | 6 | 3275.53333333333 | 20.7666666666667 | 3638.89665238468 | -363.363319051351 | 3254.76666666667 | 0.0611896237170117 | -1.07066122465409 | ||
10206 | 10206 | Malaysia | Malaysia | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 33938216 | 16558 | 129 | 16012.0204129417 | 545.979587058306 | 16429 | 0.38010247798529 | 1.60874568969184 | 0.0340981071081459 | monthly | 5 | 3738.90322580645 | 29.1290322580645 | 3615.61751259974 | 123.285713206714 | 3709.77419354839 | 0.0858295918031299 | 0.363265155736867 | ||
22358 | 22358 | Malaysia | Malaysia | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 33938216 | 16558 | 129 | 16012.0204129417 | 545.979587058306 | 16429 | 0.38010247798529 | 1.60874568969184 | 0.0340981071081456 | monthly | 5 | 3738.90322580645 | 29.1290322580645 | 3615.61751259974 | 123.285713206714 | 3709.77419354839 | 0.0858295918031299 | 0.363265155736867 | ||
10205 | 10205 | Malaysia | Malaysia | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 33938216 | 16176 | 564 | 15518.6713673629 | 657.328632637067 | 15612 | 1.66184339212173 | 1.93683908617078 | 0.0423572751221142 | monthly | 4 | 3774.4 | 131.6 | 3621.02331905135 | 153.376680948649 | 3642.8 | 0.387763458161737 | 0.451929120106516 | ||
22357 | 22357 | Malaysia | Malaysia | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 33938216 | 16176 | 564 | 15518.6713673629 | 657.328632637067 | 15612 | 1.66184339212173 | 1.93683908617078 | 0.0423572751221164 | monthly | 4 | 3774.4 | 131.6 | 3621.02331905135 | 153.376680948649 | 3642.8 | 0.387763458161737 | 0.451929120106516 | ||
10204 | 10204 | Malaysia | Malaysia | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 33938216 | 21173 | 2234 | 16382.8204129417 | 4790.1795870583 | 18939 | 6.58254989007083 | 14.1144118684916 | 0.292390410583655 | monthly | 3 | 4781.0 | 504.451612903226 | 3699.3465448578 | 1081.6534551422 | 4276.54838709677 | 1.4863822332418 | 3.18712526062713 | ||
22356 | 22356 | Malaysia | Malaysia | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 33938216 | 21173 | 2234 | 16382.8204129417 | 4790.1795870583 | 18939 | 6.58254989007083 | 14.1144118684916 | 0.292390410583654 | monthly | 3 | 4781.0 | 504.451612903226 | 3699.3465448578 | 1081.6534551422 | 4276.54838709677 | 1.4863822332418 | 3.18712526062713 | ||
10203 | 10203 | Malaysia | Malaysia | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 33938216 | 15603 | 771 | 14712.0120405389 | 890.987959461119 | 14832 | 2.27177527540045 | 2.62532349803278 | 0.0605619378917042 | monthly | 2 | 3900.75 | 192.75 | 3678.00301013472 | 222.74698986528 | 3708.0 | 0.567943818850113 | 0.656330874508194 | ||
22355 | 22355 | Malaysia | Malaysia | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 33938216 | 15603 | 771 | 14712.0120405389 | 890.987959461119 | 14832 | 2.27177527540045 | 2.62532349803278 | 0.0605619378917026 | monthly | 2 | 3900.75 | 192.75 | 3678.00301013472 | 222.74698986528 | 3708.0 | 0.567943818850113 | 0.656330874508194 | ||
10202 | 10202 | Malaysia | Malaysia | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 33938216 | 16465 | 491 | 16330.7050383141 | 134.294961685911 | 15974 | 1.44674664101378 | 0.395704245874065 | 0.0082234637984604 | monthly | 1 | 3717.90322580645 | 110.870967741935 | 3687.57855703867 | 30.3246687677864 | 3607.03225806452 | 0.326684725390208 | 0.0893525716489825 | ||
22354 | 22354 | Malaysia | Malaysia | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 33938216 | 16465 | 491 | 16330.7050383141 | 134.294961685911 | 15974 | 1.44674664101378 | 0.395704245874064 | 0.00822346379845973 | monthly | 1 | 3717.90322580645 | 110.870967741935 | 3687.57855703867 | 30.3246687677864 | 3607.03225806452 | 0.326684725390208 | 0.0893525716489825 |
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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);