economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
36 rows where covid_deaths = 105 sorted by end_date descending
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Suggested facets: region, region_code, start_date, end_date, days, week, population, expected_deaths, excess_deaths, non_covid_deaths, covid_deaths_per_100k, excess_deaths_per_100k, start_date (date), end_date (date)
country 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16369 | 16369 | Poland | Poland | 0 | 2022-09-19 | 2022-09-25 | 7 | 2022 | 38 | 39857144 | 8284 | 105 | 7589.25252808956 | 694.747471910442 | 8179 | 0.263440852661194 | 1.74309396556472 | 0.0915435965978231 | weekly | |||||||||
20938 | 20938 | Poland | Poland | 0 | 2022-09-19 | 2022-09-25 | 7 | 2022 | 38 | 39857144 | 8284 | 105 | 7589.25252808956 | 694.747471910442 | 8179 | 0.263440852661194 | 1.74309396556472 | 0.0915435965978235 | weekly | |||||||||
8798 | 8798 | United States | Tennessee | TN | 2022-08-07 | 2022-08-13 | 7 | 2022 | 32 | 6833174 | 1619 | 105 | 1412.05513784557 | 206.944862154431 | 1514 | 1.53662119536251 | 3.02853201388448 | 0.146555794181079 | weekly | |||||||||
8183 | 8183 | United States | Pennsylvania | PA | 2022-06-19 | 2022-06-25 | 7 | 2022 | 25 | 12801989 | 2624 | 105 | 2363.90476190587 | 260.095238094132 | 2519 | 0.82018505093232 | 2.03167834384276 | 0.110027799040615 | weekly | |||||||||
127 | 127 | Finland | Finland | 0 | 2022-05-30 | 2022-06-05 | 7 | 2022 | 22 | 5540745 | 1069 | 105 | 970.220224719065 | 98.7797752809348 | 964 | 1.89505201917793 | 1.78278869142931 | 0.101811704976092 | weekly | |||||||||
13395 | 13395 | Finland | Finland | 0 | 2022-05-30 | 2022-06-05 | 7 | 2022 | 22 | 5540745 | 1069 | 105 | 970.220224719065 | 98.7797752809348 | 964 | 1.89505201917793 | 1.78278869142931 | 0.101811704976092 | weekly | |||||||||
10684 | 10684 | Egypt | Egypt | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 110990096 | 44500 | 105 | 43457.509849176 | 1042.49015082398 | 44395 | 0.0946030355717505 | 0.939264122110479 | 0.0239887226498263 | monthly | 5 | 10048.3870967742 | 23.7096774193548 | 9812.98609497523 | 235.401001798963 | 10024.6774193548 | 0.0213619757742662 | 0.212091898541076 | ||
21823 | 21823 | Egypt | Egypt | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 110990096 | 44500 | 105 | 43457.509849176 | 1042.49015082398 | 44395 | 0.0946030355717505 | 0.939264122110481 | 0.0239887226498268 | monthly | 5 | 10048.3870967742 | 23.7096774193548 | 9812.98609497523 | 235.401001798963 | 10024.6774193548 | 0.0213619757742662 | 0.212091898541076 | ||
16204 | 16204 | Peru | Peru | 0 | 2022-05-02 | 2022-05-08 | 7 | 2022 | 18 | 34049588 | 2951.3 | 105 | 3003.65948717868 | -52.3594871786813 | 2846.3 | 0.308373775330262 | -0.153774216529966 | -0.0174318984565927 | weekly | |||||||||
24832 | 24832 | Peru | Peru | 0 | 2022-05-02 | 2022-05-08 | 7 | 2022 | 18 | 34049588 | 2951.3 | 105 | 3003.65948717868 | -52.3594871786813 | 2846.3 | 0.308373775330262 | -0.153774216529966 | -0.0174318984565931 | weekly | |||||||||
8171 | 8171 | United States | Pennsylvania | PA | 2022-03-27 | 2022-04-02 | 7 | 2022 | 13 | 12801989 | 2669 | 105 | 2612.90476190587 | 56.0952380941276 | 2564 | 0.82018505093232 | 0.438175959174216 | 0.0214685352914323 | weekly | |||||||||
3304 | 3304 | United States | Connecticut | CT | 2022-03-06 | 2022-03-12 | 7 | 2022 | 10 | 3565287 | 626 | 105 | 634.52631578986 | -8.5263157898604 | 521 | 2.94506445063188 | -0.239148090738849 | -0.0134372926349742 | weekly | |||||||||
7092 | 7092 | United States | New Mexico | NM | 2021-12-12 | 2021-12-18 | 7 | 2021 | 50 | 2096829 | 593 | 105 | 372.962406015875 | 220.037593984125 | 488 | 5.00756141774079 | 10.4938263436897 | 0.589972582852649 | weekly | |||||||||
251 | 251 | Slovenia | Slovenia | 0 | 2021-12-06 | 2021-12-12 | 7 | 2021 | 49 | 2119843 | 528 | 105 | 415.985393258409 | 112.014606741591 | 423 | 4.9531970056273 | 5.28409918760924 | 0.269275336482808 | weekly | |||||||||
16927 | 16927 | Slovenia | Slovenia | 0 | 2021-12-06 | 2021-12-12 | 7 | 2021 | 49 | 2119843 | 528 | 105 | 415.985393258409 | 112.014606741591 | 423 | 4.9531970056273 | 5.28409918760922 | 0.269275336482807 | weekly | |||||||||
4659 | 4659 | United States | Iowa | IA | 2021-12-05 | 2021-12-11 | 7 | 2021 | 49 | 3155070 | 824 | 105 | 623.097744361481 | 200.902255638519 | 719 | 3.32797687531497 | 6.36760058060579 | 0.322424944491484 | weekly | |||||||||
12157 | 12157 | Chile | Chile | 0 | 2021-11-01 | 2021-11-07 | 7 | 2021 | 44 | 19603736 | 2248 | 105 | 2075.43606557386 | 172.563934426136 | 2143 | 0.535612191472075 | 0.880260448447867 | 0.0831458686145679 | weekly | |||||||||
19815 | 19815 | Chile | Chile | 0 | 2021-11-01 | 2021-11-07 | 7 | 2021 | 44 | 19603736 | 2248 | 105 | 2075.43606557386 | 172.563934426136 | 2143 | 0.535612191472075 | 0.880260448447869 | 0.0831458686145661 | weekly | |||||||||
11271 | 11271 | Australia | Australia | 0 | 2021-10-18 | 2021-10-24 | 7 | 2021 | 42 | 26177410 | 3339 | 105 | 3216.59662921345 | 122.403370786554 | 3234 | 0.401109200642844 | 0.467591602020803 | 0.0380536899388846 | weekly | |||||||||
17225 | 17225 | South Korea | South Korea | 0 | 2021-10-18 | 2021-10-24 | 7 | 2021 | 42 | 51815808 | 6358 | 105 | 6008.52247190974 | 349.477528090256 | 6253 | 0.202640862031911 | 0.67446121479039 | 0.0581636383527051 | weekly | |||||||||
18859 | 18859 | Australia | Australia | 0 | 2021-10-18 | 2021-10-24 | 7 | 2021 | 42 | 26177410 | 3339 | 105 | 3216.59662921345 | 122.403370786554 | 3234 | 0.401109200642844 | 0.467591602020803 | 0.0380536899388859 | weekly | |||||||||
20542 | 20542 | South Korea | South Korea | 0 | 2021-10-18 | 2021-10-24 | 7 | 2021 | 42 | 51815808 | 6358 | 105 | 6008.52247190974 | 349.477528090256 | 6253 | 0.202640862031911 | 0.67446121479039 | 0.0581636383527044 | weekly | |||||||||
14982 | 14982 | Lithuania | Lithuania | 0 | 2021-09-13 | 2021-09-19 | 7 | 2021 | 37 | 2750058 | 916 | 105 | 578.828089887665 | 337.171910112335 | 811 | 3.81810129095459 | 12.2605381454622 | 0.582507856828046 | weekly | |||||||||
18397 | 18397 | Lithuania | Lithuania | 0 | 2021-09-13 | 2021-09-19 | 7 | 2021 | 37 | 2750058 | 916 | 105 | 578.828089887665 | 337.171910112335 | 811 | 3.81810129095459 | 12.2605381454622 | 0.582507856828046 | weekly | |||||||||
16305 | 16305 | Poland | Poland | 0 | 2021-06-28 | 2021-07-04 | 7 | 2021 | 26 | 39857144 | 7543 | 105 | 7313.08202247158 | 229.917977528416 | 7438 | 0.263440852661194 | 0.57685512421165 | 0.0314392723645009 | weekly | |||||||||
20874 | 20874 | Poland | Poland | 0 | 2021-06-28 | 2021-07-04 | 7 | 2021 | 26 | 39857144 | 7543 | 105 | 7313.08202247158 | 229.917977528416 | 7438 | 0.263440852661194 | 0.576855124211648 | 0.0314392723645005 | weekly | |||||||||
6581 | 6581 | United States | Nevada | NV | 2020-11-22 | 2020-11-28 | 7 | 2020 | 48 | 3080156 | 744 | 105 | 518.187969925667 | 225.812030074333 | 639 | 3.40891824959515 | 7.33118809808118 | 0.435772428500657 | weekly | |||||||||
16264 | 16264 | Poland | Poland | 0 | 2020-09-14 | 2020-09-20 | 7 | 2020 | 38 | 39857144 | 8231 | 105 | 7434.91151685363 | 796.088483146373 | 8126 | 0.263440852661194 | 1.99735455994131 | 0.107074372215699 | weekly | |||||||||
20833 | 20833 | Poland | Poland | 0 | 2020-09-14 | 2020-09-20 | 7 | 2020 | 38 | 39857144 | 8231 | 105 | 7434.91151685363 | 796.088483146373 | 8126 | 0.263440852661194 | 1.99735455994131 | 0.107074372215699 | weekly | |||||||||
1851 | 1851 | Guatemala | Guatemala | 0 | 2020-09-07 | 2020-09-13 | 7 | 2020 | 37 | 17843914 | 1957 | 105 | 1615.69353932583 | 341.306460674173 | 1852 | 0.588435922746545 | 1.91273316310633 | 0.21124455372681 | weekly | |||||||||
13905 | 13905 | Guatemala | Guatemala | 0 | 2020-09-07 | 2020-09-13 | 7 | 2020 | 37 | 17843914 | 1957 | 105 | 1615.69353932583 | 341.306460674173 | 1852 | 0.588435922746545 | 1.91273316310633 | 0.211244553726807 | weekly | |||||||||
5498 | 5498 | United States | Massachusetts | MA | 2020-07-12 | 2020-07-18 | 7 | 2020 | 29 | 6949503 | 1060 | 105 | 1016.79197995066 | 43.2080200493384 | 955 | 1.51089941251914 | 0.621742591511054 | 0.0424944540292647 | weekly | |||||||||
7319 | 7319 | United States | North Carolina | NC | 2020-06-21 | 2020-06-27 | 7 | 2020 | 26 | 10488084 | 1946 | 105 | 1779.3709273189 | 166.629072681097 | 1841 | 1.00113614650684 | 1.58874654971391 | 0.0936449337925105 | weekly | |||||||||
7313 | 7313 | United States | North Carolina | NC | 2020-05-10 | 2020-05-16 | 7 | 2020 | 20 | 10488084 | 2039 | 105 | 1780.03759398554 | 258.962406014459 | 1934 | 1.00113614650684 | 2.46911071664242 | 0.145481425161722 | weekly | |||||||||
459 | 459 | Portugal | Portugal | 0 | 2020-03-23 | 2020-03-29 | 7 | 2020 | 13 | 10270857 | 2544 | 105 | 2188.8058988764 | 355.194101123595 | 2439 | 1.02231001755744 | 3.45827131196156 | 0.162277569384261 | weekly | |||||||||
16391 | 16391 | Portugal | Portugal | 0 | 2020-03-23 | 2020-03-29 | 7 | 2020 | 13 | 10270857 | 2544 | 105 | 2188.8058988764 | 355.194101123595 | 2439 | 1.02231001755744 | 3.45827131196155 | 0.162277569384263 | weekly |
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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);