economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
17 rows where covid_deaths_per_100k = "0.0" and "end_date" is on date 2022-04-30 sorted by end_date descending
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Suggested facets: region, region_code, start_date, days, population, total_deaths, expected_deaths, non_covid_deaths, excess_deaths_per_100k, total_deaths_per_7_days, expected_deaths_per_7_days, excess_deaths_per_7_days, non_covid_deaths_per_7_days, start_date (date)
country 7
- United States 5
- Faroe Islands 2
- Greenland 2
- Macao 2
- Qatar 2
- Saint Kitts and Nevis 2
- Uzbekistan 2
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2703 | 2703 | United States | Arizona | AZ | 2022-04-24 | 2022-04-30 | 7 | 2022 | 17 | 7278717 | 1355 | 0 | 1263.06516291984 | 91.9348370801615 | 1355 | 0.0 | 1.26306376632257 | 0.0727870895177214 | weekly | |||||||||
6199 | 6199 | United States | Missouri | MO | 2022-04-24 | 2022-04-30 | 7 | 2022 | 17 | 6137428 | 1282 | 0 | 1226.12030075264 | 55.879699247364 | 1282 | 0.0 | 0.910474212444757 | 0.0455744018046704 | weekly | |||||||||
6503 | 6503 | United States | Nebraska | NE | 2022-04-24 | 2022-04-30 | 7 | 2022 | 17 | 1934408 | 337 | 0 | 308.854636592541 | 28.1453634074592 | 337 | 0.0 | 1.45498588754074 | 0.0911281880627559 | weekly | |||||||||
7567 | 7567 | United States | North Dakota | ND | 2022-04-24 | 2022-04-30 | 7 | 2022 | 17 | 762062 | 129 | 0 | 143.90225564 | -14.9022556399997 | 129 | 0.0 | -1.95551748282944 | -0.103558179638828 | weekly | |||||||||
8479 | 8479 | United States | South Carolina | SC | 2022-04-24 | 2022-04-30 | 7 | 2022 | 17 | 5148714 | 1015 | 0 | 978.942355890694 | 36.0576441093065 | 1015 | 0.0 | 0.700323306155799 | 0.0368332659143136 | weekly | |||||||||
17986 | 17986 | Faroe Islands | Faroe Islands | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 49085 | 38 | 0 | 32.1311892696766 | 5.86881073032339 | 38 | 0.0 | 11.9564240202167 | 0.182651525315996 | monthly | 4 | 8.86666666666667 | 0.0 | 7.49727749625788 | 1.36938917040879 | 8.86666666666667 | 0.0 | 2.78983227138391 | ||
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 | ||
18235 | 18235 | Greenland | Greenland | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 56494 | 48 | 0 | 49.3216133740608 | -1.3216133740608 | 48 | 0.0 | -2.33938714564521 | -0.0267958260821181 | monthly | 4 | 11.2 | 0.0 | 11.5083764539475 | -0.308376453947521 | 11.2 | 0.0 | -0.545857000650548 | ||
19531 | 19531 | Saint Kitts and Nevis | Saint Kitts and Nevis | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 47681 | 35 | 0 | 28.9177135592845 | 6.08228644071552 | 35 | 0.0 | 12.7562057018844 | 0.210330821219533 | monthly | 4 | 8.16666666666667 | 0.0 | 6.74746649716638 | 1.41920016950029 | 8.16666666666667 | 0.0 | 2.97644799710637 | ||
21863 | 21863 | Faroe Islands | Faroe Islands | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 49085 | 38 | 0 | 32.1311892696766 | 5.86881073032339 | 38 | 0.0 | 11.9564240202167 | 0.182651525315996 | monthly | 4 | 8.86666666666667 | 0.0 | 7.49727749625788 | 1.36938917040879 | 8.86666666666667 | 0.0 | 2.78983227138391 | ||
21964 | 21964 | Greenland | Greenland | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 56494 | 48 | 0 | 49.3216133740608 | -1.3216133740608 | 48 | 0.0 | -2.3393871456452 | -0.0267958260821181 | monthly | 4 | 11.2 | 0.0 | 11.5083764539475 | -0.308376453947521 | 11.2 | 0.0 | -0.545857000650548 | ||
22323 | 22323 | Macao | Macao | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 695180 | 209 | 0 | 167.365939521278 | 41.6340604787219 | 209 | 0.0 | 5.98896120123161 | 0.248760653438861 | monthly | 4 | 48.7666666666667 | 0.0 | 39.0520525549649 | 9.71461411170178 | 48.7666666666667 | 0.0 | 1.39742428028738 | ||
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 | ||
22778 | 22778 | Saint Kitts and Nevis | Saint Kitts and Nevis | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 47681 | 35 | 0 | 28.9177135592845 | 6.08228644071552 | 35 | 0.0 | 12.7562057018844 | 0.210330821219532 | monthly | 4 | 8.16666666666667 | 0.0 | 6.74746649716638 | 1.41920016950029 | 8.16666666666667 | 0.0 | 2.97644799710637 | ||
23098 | 23098 | Uzbekistan | Uzbekistan | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 34627648 | 12762 | 0 | 13296.9983241226 | -534.998324122589 | 12762 | 0.0 | -1.54500335720921 | -0.0402345184290231 | monthly | 4 | 2977.8 | 0.0 | 3102.63294229527 | -124.832942295271 | 2977.8 | 0.0 | -0.360500783348817 | ||
24463 | 24463 | Macao | Macao | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 695180 | 209 | 0 | 167.365939521278 | 41.6340604787219 | 209 | 0.0 | 5.98896120123161 | 0.24876065343886 | monthly | 4 | 48.7666666666667 | 0.0 | 39.0520525549649 | 9.71461411170178 | 48.7666666666667 | 0.0 | 1.39742428028738 | ||
24497 | 24497 | Uzbekistan | Uzbekistan | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 34627648 | 12762 | 0 | 13296.9983241226 | -534.998324122589 | 12762 | 0.0 | -1.54500335720921 | -0.0402345184290223 | monthly | 4 | 2977.8 | 0.0 | 3102.63294229527 | -124.832942295271 | 2977.8 | 0.0 | -0.360500783348817 |
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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);