economist_excess_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
14 rows where cadence = "monthly" and covid_deaths = 30 sorted by end_date descending
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Suggested facets: region, end_date, days, year, population, expected_deaths, excess_deaths, non_covid_deaths, excess_deaths_per_100k, month, total_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, start_date (date)
cadence 1
- monthly · 14 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11043 | 11043 | Moldova | Moldova | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 3272993 | 2644 | 30 | 2611.24893473641 | 32.7510652635938 | 2614 | 0.916592244468595 | 1.00064574728983 | 0.0125422991381325 | monthly | 6 | 616.933333333333 | 7.0 | 609.291418105161 | 7.64191522817188 | 609.933333333333 | 0.213871523709339 | 0.23348400770096 | ||
22434 | 22434 | Moldova | Moldova | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 3272993 | 2644 | 30 | 2611.24893473641 | 32.7510652635938 | 2614 | 0.916592244468595 | 1.00064574728983 | 0.012542299138131 | monthly | 6 | 616.933333333333 | 7.0 | 609.291418105161 | 7.64191522817188 | 609.933333333333 | 0.213871523709339 | 0.23348400770096 | ||
10994 | 10994 | Kyrgyzstan | Kyrgyzstan | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 6630621 | 2955 | 30 | 2690.07193790671 | 264.92806209329 | 2925 | 0.452446309327588 | 3.99552413104731 | 0.098483634716269 | monthly | 3 | 667.258064516129 | 6.7741935483871 | 607.43559888216 | 59.8224656339688 | 660.483870967742 | 0.102165295654617 | 0.902215126365522 | ||
22235 | 22235 | Kyrgyzstan | Kyrgyzstan | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 6630621 | 2955 | 30 | 2690.07193790671 | 264.92806209329 | 2925 | 0.452446309327588 | 3.9955241310473 | 0.098483634716269 | monthly | 3 | 667.258064516129 | 6.7741935483871 | 607.43559888216 | 59.8224656339688 | 660.483870967742 | 0.102165295654617 | 0.902215126365522 | ||
10624 | 10624 | Oman | Oman | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 4576300 | 958 | 30 | 905.953615216194 | 52.0463847838064 | 928 | 0.655551428009527 | 1.13730272892525 | 0.05744928207101 | monthly | 1 | 216.322580645161 | 6.7741935483871 | 204.57017117785 | 11.7524094673111 | 209.548387096774 | 0.148027741808603 | 0.256810293628283 | ||
22575 | 22575 | Oman | Oman | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 4576300 | 958 | 30 | 905.953615216194 | 52.0463847838064 | 928 | 0.655551428009527 | 1.13730272892525 | 0.0574492820710095 | monthly | 1 | 216.322580645161 | 6.7741935483871 | 204.57017117785 | 11.7524094673111 | 209.548387096774 | 0.148027741808603 | 0.256810293628283 | ||
991 | 991 | Kuwait | Kuwait | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 4268886 | 738 | 30 | 574.668419348951 | 163.331580651049 | 708 | 0.702759455277091 | 3.82609375492924 | 0.2842188210657 | monthly | 9 | 172.2 | 7.0 | 134.089297848089 | 38.1107021519113 | 165.2 | 0.163977206231321 | 0.892755209483489 | ||
22205 | 22205 | Kuwait | Kuwait | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 4268886 | 738 | 30 | 574.668419348951 | 163.331580651049 | 708 | 0.702759455277091 | 3.82609375492925 | 0.284218821065701 | monthly | 9 | 172.2 | 7.0 | 134.089297848089 | 38.1107021519113 | 165.2 | 0.163977206231321 | 0.892755209483489 | ||
10612 | 10612 | Oman | Oman | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 4576300 | 874 | 30 | 884.29725627926 | -10.2972562792604 | 844 | 0.655551428009527 | -0.225012701948308 | -0.0116445643205847 | monthly | 1 | 197.354838709677 | 6.7741935483871 | 199.680025611446 | -2.32518690176848 | 190.58064516129 | 0.148027741808603 | -0.0508093197947792 | ||
22563 | 22563 | Oman | Oman | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 4576300 | 874 | 30 | 884.29725627926 | -10.2972562792604 | 844 | 0.655551428009527 | -0.225012701948308 | -0.0116445643205841 | monthly | 1 | 197.354838709677 | 6.7741935483871 | 199.680025611446 | -2.32518690176848 | 190.58064516129 | 0.148027741808603 | -0.0508093197947792 | ||
20288 | 20288 | Andorra | Andorra | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 79843 | 60 | 30 | 24.8684790861093 | 35.1315209138907 | 30 | 37.5737384617311 | 44.0007526193789 | 1.41269278238708 | monthly | 4 | 14.0 | 7.0 | 5.80264512009218 | 8.19735487990782 | 7.0 | 8.7672056410706 | 10.2668422778551 | ||
21352 | 21352 | Andorra | Andorra | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 79843 | 60 | 30 | 24.8684790861093 | 35.1315209138907 | 30 | 37.5737384617311 | 44.0007526193789 | 1.41269278238708 | monthly | 4 | 14.0 | 7.0 | 5.80264512009218 | 8.19735487990782 | 7.0 | 8.7672056410706 | 10.2668422778551 | ||
20950 | 20950 | Panama | Panama | 0 | 2020-03-01 | 2020-03-31 | 31 | 2020 | 4408582 | 1287 | 30 | 1718.77570881226 | -431.775708812257 | 1257 | 0.680490915219451 | -9.79398157530601 | -0.251211200273846 | monthly | 3 | 290.612903225806 | 6.7741935483871 | 388.110643925348 | -97.4977406995419 | 283.838709677419 | 0.153659238920521 | -2.211544226682 | ||
22599 | 22599 | Panama | Panama | 0 | 2020-03-01 | 2020-03-31 | 31 | 2020 | 4408582 | 1287 | 30 | 1718.77570881226 | -431.775708812257 | 1257 | 0.680490915219451 | -9.79398157530601 | -0.251211200273847 | monthly | 3 | 290.612903225806 | 6.7741935483871 | 388.110643925348 | -97.4977406995419 | 283.838709677419 | 0.153659238920521 | -2.211544226682 |
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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);