economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
16 rows where cadence = "monthly" and covid_deaths = 20 sorted by end_date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: region, start_date, end_date, year, population, total_deaths, excess_deaths, covid_deaths_per_100k, excess_deaths_per_100k, month, covid_deaths_per_7_days, excess_deaths_per_7_days, non_covid_deaths_per_7_days, covid_deaths_per_100k_per_7_days, start_date (date)
country 7
- Barbados 4
- Aruba 2
- Cape Verde 2
- Georgia 2
- Hong Kong 2
- Kosovo 2
- Uzbekistan 2
cadence 1
- monthly · 16 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11099 | 11099 | Georgia | Georgia | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 3744385 | 3632 | 20 | 3680.92876299946 | -48.9287629994592 | 3612 | 0.534133108641339 | -1.30672361414382 | -0.0132925047317647 | monthly | 5 | 820.129032258065 | 4.51612903225806 | 831.177462612781 | -11.0484303547166 | 815.612903225806 | 0.12061070195127 | -0.295066622548605 | ||
21922 | 21922 | Georgia | Georgia | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 3744385 | 3632 | 20 | 3680.92876299946 | -48.9287629994592 | 3612 | 0.534133108641339 | -1.30672361414382 | -0.013292504731765 | monthly | 5 | 820.129032258065 | 4.51612903225806 | 831.177462612781 | -11.0484303547166 | 815.612903225806 | 0.12061070195127 | -0.295066622548605 | ||
18020 | 18020 | Barbados | Barbados | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 281646 | 293 | 20 | 228.577107721106 | 64.4228922788935 | 273 | 7.10111274436704 | 22.8737110695318 | 0.281843150966359 | monthly | 4 | 68.3666666666667 | 4.66666666666667 | 53.3346584682582 | 15.0320081984085 | 63.7 | 1.65692630701898 | 5.33719924955742 | ||
21540 | 21540 | Barbados | Barbados | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 281646 | 293 | 20 | 228.577107721106 | 64.4228922788935 | 273 | 7.10111274436704 | 22.8737110695318 | 0.281843150966362 | monthly | 4 | 68.3666666666667 | 4.66666666666667 | 53.3346584682582 | 15.0320081984085 | 63.7 | 1.65692630701898 | 5.33719924955742 | ||
17951 | 17951 | Kosovo | Kosovo | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 1782115 | 763 | 20 | 899.371658152406 | -136.371658152406 | 743 | 1.12226203135039 | -7.65223670483699 | -0.151629926200428 | monthly | 3 | 172.290322580645 | 4.51612903225806 | 203.083922808608 | -30.7936002279626 | 167.774193548387 | 0.25341400707912 | -1.72792441722125 | ||
22177 | 22177 | Kosovo | Kosovo | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 1782115 | 763 | 20 | 899.371658152406 | -136.371658152406 | 743 | 1.12226203135039 | -7.65223670483701 | -0.151629926200428 | monthly | 3 | 172.290322580645 | 4.51612903225806 | 203.083922808608 | -30.7936002279626 | 167.774193548387 | 0.25341400707912 | -1.72792441722125 | ||
18017 | 18017 | Barbados | Barbados | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 281646 | 297 | 20 | 286.880710180628 | 10.1192898193721 | 277 | 7.10111274436704 | 3.59291089501433 | 0.0352735107668991 | monthly | 1 | 67.0645161290323 | 4.51612903225806 | 64.7795152020773 | 2.28500092695498 | 62.5483870967742 | 1.60347707130869 | 0.811302460164526 | ||
21537 | 21537 | Barbados | Barbados | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 281646 | 297 | 20 | 286.880710180628 | 10.1192898193721 | 277 | 7.10111274436704 | 3.59291089501434 | 0.0352735107668989 | monthly | 1 | 67.0645161290323 | 4.51612903225806 | 64.7795152020773 | 2.28500092695498 | 62.5483870967742 | 1.60347707130869 | 0.811302460164526 | ||
21451 | 21451 | Aruba | Aruba | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 106459 | 92 | 20 | 51.1998622808406 | 40.8001377191594 | 72 | 18.7865751134239 | 38.3247425949515 | 0.796879833296488 | monthly | 9 | 21.4666666666667 | 4.66666666666667 | 11.9466345321961 | 9.52003213447052 | 16.8 | 4.38353419313225 | 8.94243993882201 | ||
24523 | 24523 | Aruba | Aruba | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 106459 | 92 | 20 | 51.1998622808406 | 40.8001377191594 | 72 | 18.7865751134239 | 38.3247425949515 | 0.796879833296487 | monthly | 9 | 21.4666666666667 | 4.66666666666667 | 11.9466345321961 | 9.52003213447052 | 16.8 | 4.38353419313225 | 8.94243993882201 | ||
23086 | 23086 | Uzbekistan | Uzbekistan | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 34627648 | 12432 | 20 | 13241.1986592981 | -809.198659298072 | 12412 | 0.057757315772645 | -2.33685712439399 | -0.0611121908309918 | monthly | 4 | 2900.8 | 4.66666666666667 | 3089.61302050288 | -188.813020502883 | 2896.13333333333 | 0.0134767070136172 | -0.545266662358597 | ||
24485 | 24485 | Uzbekistan | Uzbekistan | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 34627648 | 12432 | 20 | 13241.1986592981 | -809.198659298072 | 12412 | 0.057757315772645 | -2.33685712439399 | -0.06111219083099 | monthly | 4 | 2900.8 | 4.66666666666667 | 3089.61302050288 | -188.813020502883 | 2896.13333333333 | 0.0134767070136172 | -0.545266662358597 | ||
19953 | 19953 | Cape Verde | Cape Verde | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 593162 | 283 | 20 | 233.215317725163 | 49.784682274837 | 263 | 3.3717601599563 | 8.3931004135189 | 0.21347089359502 | monthly | 9 | 66.0333333333333 | 4.66666666666667 | 54.4169074692047 | 11.6164258641286 | 61.3666666666667 | 0.786744037323137 | 1.95839009648774 | ||
21721 | 21721 | Cape Verde | Cape Verde | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 593162 | 283 | 20 | 233.215317725163 | 49.784682274837 | 263 | 3.3717601599563 | 8.3931004135189 | 0.21347089359502 | monthly | 9 | 66.0333333333333 | 4.66666666666667 | 54.4169074692047 | 11.6164258641286 | 61.3666666666667 | 0.786744037323137 | 1.95839009648774 | ||
606 | 606 | Hong Kong | Hong Kong | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 7488863 | 4117 | 20 | 3977.49630724321 | 139.503692756789 | 4097 | 0.26706323777054 | 1.86281539342873 | 0.0350732425578237 | monthly | 7 | 929.645161290323 | 4.51612903225806 | 898.144327442015 | 31.5008338483072 | 925.129032258065 | 0.0603046020772187 | 0.420635734000037 | ||
21976 | 21976 | Hong Kong | Hong Kong | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 7488863 | 4117 | 20 | 3977.49630724321 | 139.503692756789 | 4097 | 0.26706323777054 | 1.86281539342874 | 0.035073242557824 | monthly | 7 | 929.645161290323 | 4.51612903225806 | 898.144327442015 | 31.5008338483072 | 925.129032258065 | 0.0603046020772187 | 0.420635734000037 |
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);