economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
10 rows where cadence = "monthly", country = "Qatar" and covid_deaths_per_100k = "0.0" sorted by end_date descending
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Suggested facets: start_date, end_date, year, total_deaths, excess_deaths, excess_deaths_per_100k, excess_deaths_pct_change, month, expected_deaths_per_7_days, excess_deaths_per_7_days, excess_deaths_per_100k_per_7_days, start_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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18057 | 18057 | Qatar | Qatar | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 2695131 | 229 | 0 | 174.974294532628 | 54.0257054673721 | 229 | 0.0 | 2.00456695675914 | 0.308763670753351 | monthly | 8 | 51.7096774193548 | 0.0 | 39.5103245718837 | 12.1993528474711 | 51.7096774193548 | 0.0 | 0.452644151526257 | ||
22714 | 22714 | Qatar | Qatar | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 2695131 | 229 | 0 | 174.974294532628 | 54.0257054673721 | 229 | 0.0 | 2.00456695675914 | 0.30876367075335 | monthly | 8 | 51.7096774193548 | 0.0 | 39.5103245718837 | 12.1993528474711 | 51.7096774193548 | 0.0 | 0.452644151526257 | ||
18054 | 18054 | Qatar | Qatar | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 2695131 | 204 | 0 | 194.974294532628 | 9.02570546737206 | 204 | 0.0 | 0.334889304726637 | 0.0462917713794402 | monthly | 5 | 46.0645161290323 | 0.0 | 44.0264536041418 | 2.03806252489047 | 46.0645161290323 | 0.0 | 0.0756201655834342 | ||
22711 | 22711 | Qatar | Qatar | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 2695131 | 204 | 0 | 194.974294532628 | 9.02570546737206 | 204 | 0.0 | 0.334889304726637 | 0.04629177137944 | monthly | 5 | 46.0645161290323 | 0.0 | 44.0264536041418 | 2.03806252489047 | 46.0645161290323 | 0.0 | 0.0756201655834342 | ||
18053 | 18053 | Qatar | Qatar | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 2695131 | 218 | 0 | 182.407381805769 | 35.592618194231 | 218 | 0.0 | 1.32062664836073 | 0.195127071294355 | monthly | 4 | 50.8666666666667 | 0.0 | 42.5617224213461 | 8.30494424532057 | 50.8666666666667 | 0.0 | 0.308146217950837 | ||
22710 | 22710 | Qatar | Qatar | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 2695131 | 218 | 0 | 182.407381805769 | 35.592618194231 | 218 | 0.0 | 1.32062664836073 | 0.195127071294355 | monthly | 4 | 50.8666666666667 | 0.0 | 42.5617224213461 | 8.30494424532057 | 50.8666666666667 | 0.0 | 0.308146217950837 | ||
18027 | 18027 | Qatar | Qatar | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 2695131 | 198 | 0 | 191.126186920407 | 6.87381307959276 | 198 | 0.0 | 0.255045601849883 | 0.0359647894950956 | monthly | 2 | 47.7931034482759 | 0.0 | 46.1339071876845 | 1.65919626059136 | 47.7931034482759 | 0.0 | 0.0615627314810062 | ||
22684 | 22684 | Qatar | Qatar | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 2695131 | 198 | 0 | 191.126186920407 | 6.87381307959276 | 198 | 0.0 | 0.255045601849883 | 0.035964789495097 | monthly | 2 | 47.7931034482759 | 0.0 | 46.1339071876845 | 1.65919626059136 | 47.7931034482759 | 0.0 | 0.0615627314810062 | ||
18026 | 18026 | Qatar | Qatar | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 2695131 | 192 | 0 | 193.053813932981 | -1.0538139329808 | 192 | 0.0 | -0.0391006571844115 | -0.00545865378938659 | monthly | 1 | 43.3548387096774 | 0.0 | 43.5927966945441 | -0.237957984866633 | 43.3548387096774 | 0.0 | -0.00882918065454454 | ||
22683 | 22683 | Qatar | Qatar | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 2695131 | 192 | 0 | 193.053813932981 | -1.0538139329808 | 192 | 0.0 | -0.0391006571844114 | -0.00545865378938759 | monthly | 1 | 43.3548387096774 | 0.0 | 43.5927966945441 | -0.237957984866633 | 43.3548387096774 | 0.0 | -0.00882918065454454 |
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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);