economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
22 rows where cadence = "monthly", country = "Brazil" and days = 30 sorted by end_date descending
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Suggested facets: start_date, end_date, year, total_deaths, covid_deaths, expected_deaths, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, 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, 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 |
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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 | ||
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 | ||
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 | ||
435 | 435 | Brazil | Brazil | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 215313504 | 119930 | 6903 | 108314.316379752 | 11615.6836202483 | 113027 | 3.20602278619738 | 5.39477710615322 | 0.107240520076068 | monthly | 11 | 27983.6666666667 | 1610.7 | 25273.3404886087 | 2710.32617805794 | 26372.9666666667 | 0.748071983446055 | 1.25878132476908 | ||
21689 | 21689 | Brazil | Brazil | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 215313504 | 119930 | 6903 | 108314.316379752 | 11615.6836202483 | 113027 | 3.20602278619738 | 5.39477710615322 | 0.107240520076065 | monthly | 11 | 27983.6666666667 | 1610.7 | 25273.3404886087 | 2710.32617805794 | 26372.9666666667 | 0.748071983446055 | 1.25878132476908 | ||
433 | 433 | Brazil | Brazil | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 215313504 | 125984 | 16268 | 112858.116379752 | 13125.8836202483 | 109716 | 7.55549452207141 | 6.09617296472417 | 0.116304294642678 | monthly | 9 | 29396.2666666667 | 3795.86666666667 | 26333.5604886087 | 3062.70617805794 | 25600.4 | 1.76294872181666 | 1.42244035843564 | ||
21687 | 21687 | Brazil | Brazil | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 215313504 | 125984 | 16268 | 112858.116379752 | 13125.8836202483 | 109716 | 7.55549452207141 | 6.09617296472417 | 0.116304294642675 | monthly | 9 | 29396.2666666667 | 3795.86666666667 | 26333.5604886087 | 3062.70617805794 | 25600.4 | 1.76294872181666 | 1.42244035843564 | ||
430 | 430 | Brazil | Brazil | 0 | 2021-06-01 | 2021-06-30 | 30 | 2021 | 215313504 | 172187 | 55244 | 121275.716379752 | 50911.2836202483 | 116943 | 25.6574710706487 | 23.6451883762239 | 0.419797838677195 | monthly | 6 | 40176.9666666667 | 12890.2666666667 | 28297.6671552754 | 11879.2995113913 | 27286.7 | 5.98674324981803 | 5.5172106211189 | ||
21684 | 21684 | Brazil | Brazil | 0 | 2021-06-01 | 2021-06-30 | 30 | 2021 | 215313504 | 172187 | 55244 | 121275.716379752 | 50911.2836202483 | 116943 | 25.6574710706487 | 23.6451883762239 | 0.419797838677192 | monthly | 6 | 40176.9666666667 | 12890.2666666667 | 28297.6671552754 | 11879.2995113913 | 27286.7 | 5.98674324981803 | 5.5172106211189 | ||
428 | 428 | Brazil | Brazil | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 215313504 | 196654 | 82392 | 114448.716379752 | 82205.2836202483 | 114262 | 38.2660624946218 | 38.17934411594 | 0.718271783385349 | monthly | 4 | 45885.9333333333 | 19224.8 | 26704.7004886087 | 19181.2328447246 | 26661.1333333333 | 8.92874791541175 | 8.90851362705267 | ||
21682 | 21682 | Brazil | Brazil | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 215313504 | 196654 | 82392 | 114448.716379752 | 82205.2836202483 | 114262 | 38.2660624946218 | 38.17934411594 | 0.718271783385345 | monthly | 4 | 45885.9333333333 | 19224.8 | 26704.7004886087 | 19181.2328447246 | 26661.1333333333 | 8.92874791541175 | 8.90851362705267 | ||
423 | 423 | Brazil | Brazil | 0 | 2020-11-01 | 2020-11-30 | 30 | 2020 | 215313504 | 122598 | 13296 | 106828.287284814 | 15769.7127151864 | 109302 | 6.17518165511811 | 7.32407044714967 | 0.147617387828591 | monthly | 11 | 28606.2 | 3102.4 | 24926.6003664565 | 3679.5996335435 | 25503.8 | 1.44087571952756 | 1.70894977100159 | ||
21677 | 21677 | Brazil | Brazil | 0 | 2020-11-01 | 2020-11-30 | 30 | 2020 | 215313504 | 122598 | 13296 | 106828.287284814 | 15769.7127151864 | 109302 | 6.17518165511811 | 7.32407044714966 | 0.147617387828586 | monthly | 11 | 28606.2 | 3102.4 | 24926.6003664565 | 3679.5996335435 | 25503.8 | 1.44087571952756 | 1.70894977100159 | ||
421 | 421 | Brazil | Brazil | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 215313504 | 127115 | 22460 | 111372.087284814 | 15742.9127151864 | 104655 | 10.4313011412419 | 7.31162348051631 | 0.141354203723657 | monthly | 9 | 29660.1666666667 | 5240.66666666667 | 25986.8203664565 | 3673.34630021017 | 24419.5 | 2.43397026628978 | 1.70604547878714 | ||
21675 | 21675 | Brazil | Brazil | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 215313504 | 127115 | 22460 | 111372.087284814 | 15742.9127151864 | 104655 | 10.4313011412419 | 7.3116234805163 | 0.141354203723652 | monthly | 9 | 29660.1666666667 | 5240.66666666667 | 25986.8203664565 | 3673.34630021017 | 24419.5 | 2.43397026628978 | 1.70604547878714 | ||
418 | 418 | Brazil | Brazil | 0 | 2020-06-01 | 2020-06-30 | 30 | 2020 | 215313504 | 140663 | 30425 | 119789.687284814 | 20873.3127151864 | 110238 | 14.1305582022389 | 9.69438160050863 | 0.174249663625532 | monthly | 6 | 32821.3666666667 | 7099.16666666667 | 27950.9270331232 | 4870.4396335435 | 25722.2 | 3.29713024718908 | 2.26202237345201 | ||
21672 | 21672 | Brazil | Brazil | 0 | 2020-06-01 | 2020-06-30 | 30 | 2020 | 215313504 | 140663 | 30425 | 119789.687284814 | 20873.3127151864 | 110238 | 14.1305582022389 | 9.69438160050862 | 0.174249663625528 | monthly | 6 | 32821.3666666667 | 7099.16666666667 | 27950.9270331232 | 4870.4396335435 | 25722.2 | 3.29713024718908 | 2.26202237345201 | ||
416 | 416 | Brazil | Brazil | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 215313504 | 123596 | 5805 | 112962.687284814 | 10633.3127151864 | 117791 | 2.69606870547237 | 4.93852569283643 | 0.0941311947402292 | monthly | 4 | 28839.0666666667 | 1354.5 | 26357.9603664565 | 2481.10630021016 | 27484.5666666667 | 0.629082697943553 | 1.15232266166183 | ||
21670 | 21670 | Brazil | Brazil | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 215313504 | 123596 | 5805 | 112962.687284814 | 10633.3127151864 | 117791 | 2.69606870547237 | 4.93852569283643 | 0.0941311947402252 | monthly | 4 | 28839.0666666667 | 1354.5 | 26357.9603664565 | 2481.10630021016 | 27484.5666666667 | 0.629082697943553 | 1.15232266166183 |
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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);