economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
113 rows where "end_date" is on date 2021-04-30 sorted by covid_deaths
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country 7
- Brazil 2
- Jordan 2
- Paraguay 2
- Philippines 2
- Russia 2
- Ukraine 2
- Bosnia and Herzegovina 1
cadence 1
- monthly 13
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24542 | 24542 | Bosnia and Herzegovina | Bosnia and Herzegovina | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 3233530 | 6051 | 1952 | 2938.86685382351 | 3112.13314617649 | 4099 | 60.3674621852898 | 96.2456864843218 | 1.05895683641726 | monthly | 4 | 1411.9 | 455.466666666667 | 685.735599225485 | 726.164400774515 | 956.433333333333 | 14.0857411765676 | 22.4573268463418 | ||
1782 | 1782 | Jordan | Jordan | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 11285875 | 4688 | 1978 | 2295.2685864209 | 2392.7314135791 | 2710 | 17.5263326946293 | 21.2011156740536 | 1.04246249338086 | monthly | 4 | 1093.86666666667 | 461.533333333333 | 535.562670164878 | 558.303996501789 | 632.333333333333 | 4.08947762874685 | 4.9469269906125 | ||
22109 | 22109 | Jordan | Jordan | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 11285875 | 4688 | 1978 | 2295.2685864209 | 2392.7314135791 | 2710 | 17.5263326946293 | 21.2011156740536 | 1.04246249338086 | monthly | 4 | 1093.86666666667 | 461.533333333333 | 535.562670164878 | 558.303996501789 | 632.333333333333 | 4.08947762874685 | 4.9469269906125 | ||
22634 | 22634 | Paraguay | Paraguay | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 6780745 | 6417 | 2179 | 2753.56135506234 | 3663.43864493766 | 4238 | 32.1351119972805 | 54.0270817577959 | 1.33043654110069 | monthly | 4 | 1497.3 | 508.433333333333 | 642.497649514545 | 854.802350485455 | 988.866666666667 | 7.49819279936546 | 12.6063190768191 | ||
23650 | 23650 | Paraguay | Paraguay | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 6780745 | 6417 | 2179 | 2753.56135506234 | 3663.43864493766 | 4238 | 32.1351119972805 | 54.027081757796 | 1.33043654110069 | monthly | 4 | 1497.3 | 508.433333333333 | 642.497649514545 | 854.802350485455 | 988.866666666667 | 7.49819279936546 | 12.6063190768191 | ||
19489 | 19489 | Philippines | Philippines | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 115559008 | 70556 | 3937 | 51126.1485377637 | 19429.8514622363 | 66619 | 3.40691744255887 | 16.8137921902517 | 0.380037456721088 | monthly | 4 | 16463.0666666667 | 918.633333333333 | 11929.4346588115 | 4533.63200785513 | 15544.4333333333 | 0.794947403263736 | 3.92321817772538 | ||
22668 | 22668 | Philippines | Philippines | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 115559008 | 70556 | 3937 | 51126.1485377637 | 19429.8514622363 | 66619 | 3.40691744255887 | 16.8137921902517 | 0.380037456721088 | monthly | 4 | 16463.0666666667 | 918.633333333333 | 11929.4346588115 | 4533.63200785513 | 15544.4333333333 | 0.794947403263736 | 3.92321817772538 | ||
22732 | 22732 | Russia | Russia | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 144713312 | 163090.9 | 11071 | 144667.788307526 | 18423.1116924739 | 152019.9 | 7.65029826696248 | 12.730765012464 | 0.12734771097289 | monthly | 4 | 38054.5433333333 | 2583.23333333333 | 33755.8172717561 | 4298.72606157725 | 35471.31 | 1.78506959562458 | 2.97051183624161 | ||
24393 | 24393 | Russia | Russia | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 144713312 | 163090.9 | 11071 | 144667.788307526 | 18423.1116924739 | 152019.9 | 7.65029826696248 | 12.730765012464 | 0.127347710972889 | monthly | 4 | 38054.5433333333 | 2583.23333333333 | 33755.8172717561 | 4298.72606157725 | 35471.31 | 1.78506959562458 | 2.97051183624161 | ||
20275 | 20275 | Ukraine | Ukraine | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 39701744 | 68621 | 11467 | 47994.9008139556 | 20626.0991860444 | 57154 | 28.8828621735106 | 51.9526275370785 | 0.429756054002448 | monthly | 4 | 16011.5666666667 | 2675.63333333333 | 11198.810189923 | 4812.7564767437 | 13335.9333333333 | 6.73933450715247 | 12.1222797586517 | ||
23029 | 23029 | Ukraine | Ukraine | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 39701744 | 68621 | 11467 | 47994.9008139556 | 20626.0991860444 | 57154 | 28.8828621735106 | 51.9526275370785 | 0.429756054002447 | monthly | 4 | 16011.5666666667 | 2675.63333333333 | 11198.810189923 | 4812.7564767437 | 13335.9333333333 | 6.73933450715247 | 12.1222797586517 | ||
428 | 428 | Brazil | Brazil | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 215313504 | 196654 | 82392 | 114448.716379752 | 82205.2836202483 | 114262 | 38.2660624946218 | 38.17934411594 | 0.718271783385349 | monthly | 4 | 45885.9333333333 | 19224.8 | 26704.7004886087 | 19181.2328447246 | 26661.1333333333 | 8.92874791541175 | 8.90851362705267 | ||
21682 | 21682 | Brazil | Brazil | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 215313504 | 196654 | 82392 | 114448.716379752 | 82205.2836202483 | 114262 | 38.2660624946218 | 38.17934411594 | 0.718271783385345 | monthly | 4 | 45885.9333333333 | 19224.8 | 26704.7004886087 | 19181.2328447246 | 26661.1333333333 | 8.92874791541175 | 8.90851362705267 |
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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);