economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
16 rows where cadence = "weekly", country = "Luxembourg" and covid_deaths = 3 sorted by end_date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: start_date, end_date, week, total_deaths, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_per_100k, excess_deaths_pct_change, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1439 | 1439 | Luxembourg | Luxembourg | 0 | 2022-10-10 | 2022-10-16 | 7 | 2022 | 41 | 647601 | 94 | 3 | 92.1314606741552 | 1.86853932584484 | 91 | 0.46324820375509 | 0.288532495447789 | 0.0202812298011139 | weekly | |||||||||
15187 | 15187 | Luxembourg | Luxembourg | 0 | 2022-10-10 | 2022-10-16 | 7 | 2022 | 41 | 647601 | 94 | 3 | 92.1314606741552 | 1.86853932584484 | 91 | 0.46324820375509 | 0.28853249544779 | 0.0202812298011135 | weekly | |||||||||
1435 | 1435 | Luxembourg | Luxembourg | 0 | 2022-09-12 | 2022-09-18 | 7 | 2022 | 37 | 647601 | 83 | 3 | 81.1314606741552 | 1.86853932584482 | 80 | 0.46324820375509 | 0.288532495447787 | 0.0230310080740361 | weekly | |||||||||
15183 | 15183 | Luxembourg | Luxembourg | 0 | 2022-09-12 | 2022-09-18 | 7 | 2022 | 37 | 647601 | 83 | 3 | 81.1314606741552 | 1.86853932584482 | 80 | 0.46324820375509 | 0.288532495447787 | 0.0230310080740359 | weekly | |||||||||
1425 | 1425 | Luxembourg | Luxembourg | 0 | 2022-07-04 | 2022-07-10 | 7 | 2022 | 27 | 647601 | 88 | 3 | 82.5314606741552 | 5.46853932584482 | 85 | 0.46324820375509 | 0.844430339953894 | 0.0662600574517311 | weekly | |||||||||
15173 | 15173 | Luxembourg | Luxembourg | 0 | 2022-07-04 | 2022-07-10 | 7 | 2022 | 27 | 647601 | 88 | 3 | 82.5314606741552 | 5.46853932584482 | 85 | 0.46324820375509 | 0.844430339953894 | 0.0662600574517309 | weekly | |||||||||
1388 | 1388 | Luxembourg | Luxembourg | 0 | 2021-10-18 | 2021-10-24 | 7 | 2021 | 42 | 647601 | 79 | 3 | 80.6651685393229 | -1.66516853932291 | 76 | 0.46324820375509 | -0.257128778263608 | -0.0206429685758502 | weekly | |||||||||
15136 | 15136 | Luxembourg | Luxembourg | 0 | 2021-10-18 | 2021-10-24 | 7 | 2021 | 42 | 647601 | 79 | 3 | 80.6651685393229 | -1.66516853932291 | 76 | 0.46324820375509 | -0.257128778263608 | -0.0206429685758502 | weekly | |||||||||
1387 | 1387 | Luxembourg | Luxembourg | 0 | 2021-10-11 | 2021-10-17 | 7 | 2021 | 41 | 647601 | 67 | 3 | 90.6651685393229 | -23.6651685393229 | 64 | 0.46324820375509 | -3.6542822724676 | -0.261017201209514 | weekly | |||||||||
15135 | 15135 | Luxembourg | Luxembourg | 0 | 2021-10-11 | 2021-10-17 | 7 | 2021 | 41 | 647601 | 67 | 3 | 90.6651685393229 | -23.6651685393229 | 64 | 0.46324820375509 | -3.6542822724676 | -0.261017201209514 | weekly | |||||||||
1326 | 1326 | Luxembourg | Luxembourg | 0 | 2020-08-10 | 2020-08-16 | 7 | 2020 | 33 | 647601 | 99 | 3 | 78.3988764044911 | 20.6011235955089 | 96 | 0.46324820375509 | 3.18114450031871 | 0.2627731995701 | weekly | |||||||||
15074 | 15074 | Luxembourg | Luxembourg | 0 | 2020-08-10 | 2020-08-16 | 7 | 2020 | 33 | 647601 | 99 | 3 | 78.3988764044911 | 20.6011235955089 | 96 | 0.46324820375509 | 3.1811445003187 | 0.262773199570099 | weekly | |||||||||
1325 | 1325 | Luxembourg | Luxembourg | 0 | 2020-08-03 | 2020-08-09 | 7 | 2020 | 32 | 647601 | 93 | 3 | 78.998876404491 | 14.001123595509 | 90 | 0.46324820375509 | 2.16199845205751 | 0.177231933322953 | weekly | |||||||||
15073 | 15073 | Luxembourg | Luxembourg | 0 | 2020-08-03 | 2020-08-09 | 7 | 2020 | 32 | 647601 | 93 | 3 | 78.998876404491 | 14.001123595509 | 90 | 0.46324820375509 | 2.16199845205752 | 0.177231933322954 | weekly | |||||||||
1314 | 1314 | Luxembourg | Luxembourg | 0 | 2020-05-18 | 2020-05-24 | 7 | 2020 | 21 | 647601 | 77 | 3 | 80.7988764044911 | -3.79887640449105 | 74 | 0.46324820375509 | -0.586607556889358 | -0.0470164508906451 | weekly | |||||||||
15062 | 15062 | Luxembourg | Luxembourg | 0 | 2020-05-18 | 2020-05-24 | 7 | 2020 | 21 | 647601 | 77 | 3 | 80.7988764044911 | -3.79887640449105 | 74 | 0.46324820375509 | -0.586607556889358 | -0.0470164508906455 | weekly |
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);