economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
20 rows where country = "Brazil" and year = 2022 sorted by end_date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: start_date, end_date, days, total_deaths, covid_deaths, excess_deaths, non_covid_deaths, covid_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, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
446 | 446 | Brazil | Brazil | 0 | 2022-10-01 | 2022-10-31 | 31 | 2022 | 215313504 | 118679.9 | 2121 | 115896.216990513 | 2783.68300948715 | 116558.9 | 0.985075232438742 | 1.29285110212463 | 0.0240187564509982 | monthly | 10 | 26798.6870967742 | 478.935483870968 | 26170.1135139868 | 628.573582787422 | 26319.7516129032 | 0.222436342808748 | 0.291934119834593 | ||
21700 | 21700 | Brazil | Brazil | 0 | 2022-10-01 | 2022-10-31 | 31 | 2022 | 215313504 | 118679.9 | 2121 | 115896.216990513 | 2783.68300948715 | 116558.9 | 0.985075232438742 | 1.29285110212463 | 0.0240187564509966 | monthly | 10 | 26798.6870967742 | 478.935483870968 | 26170.1135139868 | 628.573582787422 | 26319.7516129032 | 0.222436342808748 | 0.291934119834593 | ||
445 | 445 | Brazil | Brazil | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 215313504 | 123270.9 | 2071 | 114344.14547469 | 8926.75452531016 | 121199.9 | 0.961853279764561 | 4.1459334224156 | 0.0780691874363266 | monthly | 9 | 28763.21 | 483.233333333333 | 26680.300610761 | 2082.90938923904 | 28279.9766666667 | 0.224432431945064 | 0.967384465230307 | ||
21699 | 21699 | Brazil | Brazil | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 215313504 | 123270.9 | 2071 | 114344.14547469 | 8926.75452531016 | 121199.9 | 0.961853279764561 | 4.1459334224156 | 0.0780691874363251 | monthly | 9 | 28763.21 | 483.233333333333 | 26680.300610761 | 2082.90938923904 | 28279.9766666667 | 0.224432431945064 | 0.967384465230307 | ||
444 | 444 | Brazil | Brazil | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 215313504 | 135185.3 | 5451 | 121090.816990513 | 14094.4830094871 | 129734.3 | 2.53165728053917 | 6.54602834826707 | 0.116395969238455 | monthly | 8 | 30525.7129032258 | 1230.87096774194 | 27343.0877075352 | 3182.62519569064 | 29294.8419354839 | 0.571664547218523 | 1.47813543347966 | ||
21698 | 21698 | Brazil | Brazil | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 215313504 | 135185.3 | 5451 | 121090.816990513 | 14094.4830094871 | 129734.3 | 2.53165728053917 | 6.54602834826705 | 0.116395969238454 | monthly | 8 | 30525.7129032258 | 1230.87096774194 | 27343.0877075352 | 3182.62519569064 | 29294.8419354839 | 0.571664547218523 | 1.47813543347966 | ||
443 | 443 | Brazil | Brazil | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 215313504 | 136795 | 7098 | 127337.016990513 | 9457.98300948717 | 129697 | 3.29658840162668 | 4.39265667679031 | 0.0742752047520623 | monthly | 7 | 30889.1935483871 | 1602.77419354839 | 28753.5199655997 | 2135.67358278743 | 29286.4193548387 | 0.744390929399573 | 0.991890217339748 | ||
21697 | 21697 | Brazil | Brazil | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 215313504 | 136795 | 7098 | 127337.016990513 | 9457.98300948717 | 129697 | 3.29658840162668 | 4.39265667679031 | 0.0742752047520607 | monthly | 7 | 30889.1935483871 | 1602.77419354839 | 28753.5199655997 | 2135.67358278743 | 29286.4193548387 | 0.744390929399573 | 0.991890217339748 | ||
442 | 442 | Brazil | Brazil | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 215313504 | 140232 | 4740 | 122761.74547469 | 17470.2545253102 | 135492 | 2.20144111351232 | 8.11386847585285 | 0.142310248667098 | monthly | 6 | 32720.8 | 1106.0 | 28644.4072774276 | 4076.39272257237 | 31614.8 | 0.513669593152875 | 1.893235977699 | ||
21696 | 21696 | Brazil | Brazil | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 215313504 | 140232 | 4740 | 122761.74547469 | 17470.2545253102 | 135492 | 2.20144111351232 | 8.11386847585286 | 0.142310248667097 | monthly | 6 | 32720.8 | 1106.0 | 28644.4072774276 | 4076.39272257237 | 31614.8 | 0.513669593152875 | 1.893235977699 | ||
441 | 441 | Brazil | Brazil | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 215313504 | 133191.4 | 3023 | 123264.816990513 | 9926.58300948715 | 130168.4 | 1.40399925868096 | 4.61029281725272 | 0.0805305459566061 | monthly | 5 | 30075.4774193548 | 682.612903225806 | 27833.9909333416 | 2241.48648601323 | 29392.864516129 | 0.317032090669894 | 1.04103386196029 | ||
21695 | 21695 | Brazil | Brazil | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 215313504 | 133191.4 | 3023 | 123264.816990513 | 9926.58300948715 | 130168.4 | 1.40399925868096 | 4.61029281725272 | 0.0805305459566048 | monthly | 5 | 30075.4774193548 | 682.612903225806 | 27833.9909333416 | 2241.48648601323 | 29392.864516129 | 0.317032090669894 | 1.04103386196029 | ||
440 | 440 | Brazil | Brazil | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 215313504 | 118054 | 3714 | 115934.74547469 | 2119.25452531014 | 114340 | 1.72492664463814 | 0.984264565825904 | 0.0182797186178565 | monthly | 4 | 27545.9333333333 | 866.6 | 27051.440610761 | 494.492722572366 | 26679.3333333333 | 0.402482883748899 | 0.229661732026044 | ||
21694 | 21694 | Brazil | Brazil | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 215313504 | 118054 | 3714 | 115934.74547469 | 2119.25452531014 | 114340 | 1.72492664463814 | 0.984264565825904 | 0.0182797186178552 | monthly | 4 | 27545.9333333333 | 866.6 | 27051.440610761 | 494.492722572366 | 26679.3333333333 | 0.402482883748899 | 0.229661732026044 | ||
439 | 439 | Brazil | Brazil | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 215313504 | 123152 | 10346 | 116056.416990513 | 7095.58300948716 | 112806 | 4.80508644734145 | 3.29546585684062 | 0.0611390838480494 | monthly | 3 | 27808.5161290323 | 2336.1935483871 | 26206.2877075352 | 1602.2284214971 | 25472.3225806452 | 1.08501952036743 | 0.744137451544656 | ||
21693 | 21693 | Brazil | Brazil | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 215313504 | 123152 | 10346 | 116056.416990513 | 7095.58300948716 | 112806 | 4.80508644734145 | 3.29546585684062 | 0.0611390838480481 | monthly | 3 | 27808.5161290323 | 2336.1935483871 | 26206.2877075352 | 1602.2284214971 | 25472.3225806452 | 1.08501952036743 | 0.744137451544656 | ||
438 | 438 | Brazil | Brazil | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 215313504 | 135361 | 22087 | 102967.580819429 | 32393.4191805709 | 113274 | 10.2580653742925 | 15.0447689433222 | 0.314598234927731 | monthly | 2 | 33840.25 | 5521.75 | 25741.8952048573 | 8098.35479514272 | 28318.5 | 2.56451634357314 | 3.76119223583056 | ||
21692 | 21692 | Brazil | Brazil | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 215313504 | 135361 | 22087 | 102967.580819429 | 32393.4191805709 | 113274 | 10.2580653742925 | 15.0447689433222 | 0.314598234927733 | monthly | 2 | 33840.25 | 5521.75 | 25741.8952048573 | 8098.35479514272 | 28318.5 | 2.56451634357314 | 3.76119223583056 | ||
437 | 437 | Brazil | Brazil | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 215313504 | 167728 | 8255 | 114732.701958128 | 52995.2980418722 | 159473 | 3.83394438650722 | 24.6130860616491 | 0.46190229234916 | monthly | 1 | 37874.064516129 | 1864.03225806452 | 25907.3843131256 | 11966.6802030034 | 36010.0322580645 | 0.865729377598405 | 5.55779362682398 | ||
21691 | 21691 | Brazil | Brazil | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 215313504 | 167728 | 8255 | 114732.701958128 | 52995.2980418722 | 159473 | 3.83394438650722 | 24.6130860616491 | 0.461902292349158 | monthly | 1 | 37874.064516129 | 1864.03225806452 | 25907.3843131256 | 11966.6802030034 | 36010.0322580645 | 0.865729377598405 | 5.55779362682398 |
Advanced export
JSON shape: default, array, newline-delimited
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);