economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
12 rows where cadence = "monthly" and covid_deaths = 45 sorted by end_date descending
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Suggested facets: region, start_date, end_date, year, population, total_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, 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)
country 6
- Dominican Republic 2
- Jamaica 2
- Kyrgyzstan 2
- North Macedonia 2
- Serbia 2
- Suriname 2
cadence 1
- monthly · 12 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20613 | 20613 | North Macedonia | North Macedonia | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 2093606 | 1528 | 45 | 1528.48165936874 | -0.481659368737382 | 1483 | 2.14940155884154 | -0.023006208844328 | -0.000315122766298859 | monthly | 7 | 345.032258064516 | 10.1612903225806 | 345.141019857457 | -0.108761792940699 | 334.870967741935 | 0.485348739093251 | -0.00519495038420311 | ||
22548 | 22548 | North Macedonia | North Macedonia | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 2093606 | 1528 | 45 | 1528.48165936874 | -0.481659368737382 | 1483 | 2.14940155884154 | -0.023006208844328 | -0.000315122766300635 | monthly | 7 | 345.032258064516 | 10.1612903225806 | 345.141019857457 | -0.108761792940699 | 334.870967741935 | 0.485348739093251 | -0.00519495038420311 | ||
10240 | 10240 | Serbia | Serbia | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 6871547 | 7744 | 45 | 7578.50571740499 | 165.494282595009 | 7699 | 0.654874368173571 | 2.408399194461 | 0.0218373237107852 | monthly | 6 | 1806.93333333333 | 10.5 | 1768.31800072783 | 38.6153326055022 | 1796.43333333333 | 0.1528040192405 | 0.561959812040901 | ||
22870 | 22870 | Serbia | Serbia | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 6871547 | 7744 | 45 | 7578.50571740499 | 165.494282595009 | 7699 | 0.654874368173571 | 2.408399194461 | 0.0218373237107854 | monthly | 6 | 1806.93333333333 | 10.5 | 1768.31800072783 | 38.6153326055022 | 1796.43333333333 | 0.1528040192405 | 0.561959812040901 | ||
10653 | 10653 | Dominican Republic | Dominican Republic | 0 | 2021-08-01 | 2021-08-31 | 31 | 2021 | 11228821 | 3768 | 45 | 3648.80704859208 | 119.192951407915 | 3723 | 0.400754451424597 | 1.06149124122573 | 0.0326662796417001 | monthly | 8 | 850.838709677419 | 10.1612903225806 | 823.924172262729 | 26.9145374146905 | 840.677419354839 | 0.0904929406442639 | 0.239691570599358 | ||
21792 | 21792 | Dominican Republic | Dominican Republic | 0 | 2021-08-01 | 2021-08-31 | 31 | 2021 | 11228821 | 3768 | 45 | 3648.80704859208 | 119.192951407915 | 3723 | 0.400754451424597 | 1.06149124122573 | 0.0326662796417014 | monthly | 8 | 850.838709677419 | 10.1612903225806 | 823.924172262729 | 26.9145374146905 | 840.677419354839 | 0.0904929406442639 | 0.239691570599358 | ||
1606 | 1606 | Jamaica | Jamaica | 0 | 2020-12-01 | 2020-12-31 | 31 | 2020 | 2827382 | 1765 | 45 | 1600.80170771757 | 164.198292282427 | 1720 | 1.59157835764676 | 5.80743218576148 | 0.102572536929974 | monthly | 12 | 398.548387096774 | 10.1612903225806 | 361.471353355581 | 37.0770337411931 | 388.387096774194 | 0.359388661404106 | 1.31135565484937 | ||
22048 | 22048 | Jamaica | Jamaica | 0 | 2020-12-01 | 2020-12-31 | 31 | 2020 | 2827382 | 1765 | 45 | 1600.80170771757 | 164.198292282427 | 1720 | 1.59157835764676 | 5.80743218576149 | 0.102572536929977 | monthly | 12 | 398.548387096774 | 10.1612903225806 | 361.471353355581 | 37.0770337411931 | 388.387096774194 | 0.359388661404106 | 1.31135565484937 | ||
22939 | 22939 | Suriname | Suriname | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 618046 | 396 | 45 | 343.021096515232 | 52.9789034847684 | 351 | 7.28101144574999 | 8.57200005901962 | 0.154447945105952 | monthly | 8 | 89.4193548387097 | 10.1612903225806 | 77.4563766324717 | 11.962978206238 | 79.258064516129 | 1.64409935871774 | 1.93561291655282 | ||
23306 | 23306 | Suriname | Suriname | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 618046 | 396 | 45 | 343.021096515232 | 52.9789034847684 | 351 | 7.28101144574999 | 8.57200005901961 | 0.154447945105953 | monthly | 8 | 89.4193548387097 | 10.1612903225806 | 77.4563766324717 | 11.962978206238 | 79.258064516129 | 1.64409935871774 | 1.93561291655282 | ||
10973 | 10973 | Kyrgyzstan | Kyrgyzstan | 0 | 2020-06-01 | 2020-06-30 | 30 | 2020 | 6630621 | 3559 | 45 | 2591.13209297809 | 967.867907021908 | 3514 | 0.678669463991382 | 14.5969420816226 | 0.373530901664492 | monthly | 6 | 830.433333333333 | 10.5 | 604.597488361555 | 225.835844971779 | 819.933333333333 | 0.158356208264656 | 3.40595315237862 | ||
22214 | 22214 | Kyrgyzstan | Kyrgyzstan | 0 | 2020-06-01 | 2020-06-30 | 30 | 2020 | 6630621 | 3559 | 45 | 2591.13209297809 | 967.867907021908 | 3514 | 0.678669463991382 | 14.5969420816226 | 0.373530901664493 | monthly | 6 | 830.433333333333 | 10.5 | 604.597488361555 | 225.835844971779 | 819.933333333333 | 0.158356208264656 | 3.40595315237862 |
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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);