economist_historical_deaths
Data license: CC BY 4.0 · Data source: The Economist · About: simonw/covid-19-datasette
93 rows where cadence = "monthly" and country = "Hong Kong"
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: days, year, covid_deaths, month, start_date (date), end_date (date)
Link | rowid ▼ | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | cadence | month |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18950 | 18950 | Hong Kong | Hong Kong | 0 | 2015-01-01 | 2015-01-31 | 31 | 2015 | 7488863 | 4838 | 0 | TBC | monthly | 1 | |
18951 | 18951 | Hong Kong | Hong Kong | 0 | 2015-02-01 | 2015-02-28 | 28 | 2015 | 7488863 | 4329 | 0 | TBC | monthly | 2 | |
18952 | 18952 | Hong Kong | Hong Kong | 0 | 2015-03-01 | 2015-03-31 | 31 | 2015 | 7488863 | 4197 | 0 | TBC | monthly | 3 | |
18953 | 18953 | Hong Kong | Hong Kong | 0 | 2015-04-01 | 2015-04-30 | 30 | 2015 | 7488863 | 3720 | 0 | TBC | monthly | 4 | |
18954 | 18954 | Hong Kong | Hong Kong | 0 | 2015-05-01 | 2015-05-31 | 31 | 2015 | 7488863 | 3792 | 0 | TBC | monthly | 5 | |
18955 | 18955 | Hong Kong | Hong Kong | 0 | 2015-06-01 | 2015-06-30 | 30 | 2015 | 7488863 | 3684 | 0 | TBC | monthly | 6 | |
18956 | 18956 | Hong Kong | Hong Kong | 0 | 2015-07-01 | 2015-07-31 | 31 | 2015 | 7488863 | 3665 | 0 | TBC | monthly | 7 | |
18957 | 18957 | Hong Kong | Hong Kong | 0 | 2015-08-01 | 2015-08-31 | 31 | 2015 | 7488863 | 3519 | 0 | TBC | monthly | 8 | |
18958 | 18958 | Hong Kong | Hong Kong | 0 | 2015-09-01 | 2015-09-30 | 30 | 2015 | 7488863 | 3418 | 0 | TBC | monthly | 9 | |
18959 | 18959 | Hong Kong | Hong Kong | 0 | 2015-10-01 | 2015-10-31 | 31 | 2015 | 7488863 | 3678 | 0 | TBC | monthly | 10 | |
18960 | 18960 | Hong Kong | Hong Kong | 0 | 2015-11-01 | 2015-11-30 | 30 | 2015 | 7488863 | 3302 | 0 | TBC | monthly | 11 | |
18961 | 18961 | Hong Kong | Hong Kong | 0 | 2015-12-01 | 2015-12-31 | 31 | 2015 | 7488863 | 3966 | 0 | TBC | monthly | 12 | |
18962 | 18962 | Hong Kong | Hong Kong | 0 | 2016-01-01 | 2016-01-31 | 31 | 2016 | 7488863 | 4316 | 0 | TBC | monthly | 1 | |
18963 | 18963 | Hong Kong | Hong Kong | 0 | 2016-02-01 | 2016-02-29 | 29 | 2016 | 7488863 | 4699 | 0 | TBC | monthly | 2 | |
18964 | 18964 | Hong Kong | Hong Kong | 0 | 2016-03-01 | 2016-03-31 | 31 | 2016 | 7488863 | 4589 | 0 | TBC | monthly | 3 | |
18965 | 18965 | Hong Kong | Hong Kong | 0 | 2016-04-01 | 2016-04-30 | 30 | 2016 | 7488863 | 4067 | 0 | TBC | monthly | 4 | |
18966 | 18966 | Hong Kong | Hong Kong | 0 | 2016-05-01 | 2016-05-31 | 31 | 2016 | 7488863 | 3996 | 0 | TBC | monthly | 5 | |
18967 | 18967 | Hong Kong | Hong Kong | 0 | 2016-06-01 | 2016-06-30 | 30 | 2016 | 7488863 | 3471 | 0 | TBC | monthly | 6 | |
18968 | 18968 | Hong Kong | Hong Kong | 0 | 2016-07-01 | 2016-07-31 | 31 | 2016 | 7488863 | 3606 | 0 | TBC | monthly | 7 | |
18969 | 18969 | Hong Kong | Hong Kong | 0 | 2016-08-01 | 2016-08-31 | 31 | 2016 | 7488863 | 3535 | 0 | TBC | monthly | 8 | |
18970 | 18970 | Hong Kong | Hong Kong | 0 | 2016-09-01 | 2016-09-30 | 30 | 2016 | 7488863 | 3375 | 0 | TBC | monthly | 9 | |
18971 | 18971 | Hong Kong | Hong Kong | 0 | 2016-10-01 | 2016-10-31 | 31 | 2016 | 7488863 | 3602 | 0 | TBC | monthly | 10 | |
18972 | 18972 | Hong Kong | Hong Kong | 0 | 2016-11-01 | 2016-11-30 | 30 | 2016 | 7488863 | 3643 | 0 | TBC | monthly | 11 | |
18973 | 18973 | Hong Kong | Hong Kong | 0 | 2016-12-01 | 2016-12-31 | 31 | 2016 | 7488863 | 4006 | 0 | TBC | monthly | 12 | |
18974 | 18974 | Hong Kong | Hong Kong | 0 | 2017-01-01 | 2017-01-31 | 31 | 2017 | 7488863 | 4203 | 0 | TBC | monthly | 1 | |
18975 | 18975 | Hong Kong | Hong Kong | 0 | 2017-02-01 | 2017-02-28 | 28 | 2017 | 7488863 | 3917 | 0 | TBC | monthly | 2 | |
18976 | 18976 | Hong Kong | Hong Kong | 0 | 2017-03-01 | 2017-03-31 | 31 | 2017 | 7488863 | 4183 | 0 | TBC | monthly | 3 | |
18977 | 18977 | Hong Kong | Hong Kong | 0 | 2017-04-01 | 2017-04-30 | 30 | 2017 | 7488863 | 3785 | 0 | TBC | monthly | 4 | |
18978 | 18978 | Hong Kong | Hong Kong | 0 | 2017-05-01 | 2017-05-31 | 31 | 2017 | 7488863 | 3819 | 0 | TBC | monthly | 5 | |
18979 | 18979 | Hong Kong | Hong Kong | 0 | 2017-06-01 | 2017-06-30 | 30 | 2017 | 7488863 | 3710 | 0 | TBC | monthly | 6 | |
18980 | 18980 | Hong Kong | Hong Kong | 0 | 2017-07-01 | 2017-07-31 | 31 | 2017 | 7488863 | 4176 | 0 | TBC | monthly | 7 | |
18981 | 18981 | Hong Kong | Hong Kong | 0 | 2017-08-01 | 2017-08-31 | 31 | 2017 | 7488863 | 3872 | 0 | TBC | monthly | 8 | |
18982 | 18982 | Hong Kong | Hong Kong | 0 | 2017-09-01 | 2017-09-30 | 30 | 2017 | 7488863 | 3500 | 0 | TBC | monthly | 9 | |
18983 | 18983 | Hong Kong | Hong Kong | 0 | 2017-10-01 | 2017-10-31 | 31 | 2017 | 7488863 | 3789 | 0 | TBC | monthly | 10 | |
18984 | 18984 | Hong Kong | Hong Kong | 0 | 2017-11-01 | 2017-11-30 | 30 | 2017 | 7488863 | 3605 | 0 | TBC | monthly | 11 | |
18985 | 18985 | Hong Kong | Hong Kong | 0 | 2017-12-01 | 2017-12-31 | 31 | 2017 | 7488863 | 4270 | 0 | TBC | monthly | 12 | |
18986 | 18986 | Hong Kong | Hong Kong | 0 | 2018-01-01 | 2018-01-31 | 31 | 2018 | 7488863 | 4607 | 0 | TBC | monthly | 1 | |
18987 | 18987 | Hong Kong | Hong Kong | 0 | 2018-02-01 | 2018-02-28 | 28 | 2018 | 7488863 | 4660 | 0 | TBC | monthly | 2 | |
18988 | 18988 | Hong Kong | Hong Kong | 0 | 2018-03-01 | 2018-03-31 | 31 | 2018 | 7488863 | 4264 | 0 | TBC | monthly | 3 | |
18989 | 18989 | Hong Kong | Hong Kong | 0 | 2018-04-01 | 2018-04-30 | 30 | 2018 | 7488863 | 3862 | 0 | TBC | monthly | 4 | |
18990 | 18990 | Hong Kong | Hong Kong | 0 | 2018-05-01 | 2018-05-31 | 31 | 2018 | 7488863 | 3738 | 0 | TBC | monthly | 5 | |
18991 | 18991 | Hong Kong | Hong Kong | 0 | 2018-06-01 | 2018-06-30 | 30 | 2018 | 7488863 | 3551 | 0 | TBC | monthly | 6 | |
18992 | 18992 | Hong Kong | Hong Kong | 0 | 2018-07-01 | 2018-07-31 | 31 | 2018 | 7488863 | 3608 | 0 | TBC | monthly | 7 | |
18993 | 18993 | Hong Kong | Hong Kong | 0 | 2018-08-01 | 2018-08-31 | 31 | 2018 | 7488863 | 3714 | 0 | TBC | monthly | 8 | |
18994 | 18994 | Hong Kong | Hong Kong | 0 | 2018-09-01 | 2018-09-30 | 30 | 2018 | 7488863 | 3478 | 0 | TBC | monthly | 9 | |
18995 | 18995 | Hong Kong | Hong Kong | 0 | 2018-10-01 | 2018-10-31 | 31 | 2018 | 7488863 | 3844 | 0 | TBC | monthly | 10 | |
18996 | 18996 | Hong Kong | Hong Kong | 0 | 2018-11-01 | 2018-11-30 | 30 | 2018 | 7488863 | 3783 | 0 | TBC | monthly | 11 | |
18997 | 18997 | Hong Kong | Hong Kong | 0 | 2018-12-01 | 2018-12-31 | 31 | 2018 | 7488863 | 4291 | 0 | TBC | monthly | 12 | |
18998 | 18998 | Hong Kong | Hong Kong | 0 | 2019-01-01 | 2019-01-31 | 31 | 2019 | 7488863 | 4777 | 0 | TBC | monthly | 1 | |
18999 | 18999 | Hong Kong | Hong Kong | 0 | 2019-02-01 | 2019-02-28 | 28 | 2019 | 7488863 | 3982 | 0 | TBC | monthly | 2 | |
19000 | 19000 | Hong Kong | Hong Kong | 0 | 2019-03-01 | 2019-03-31 | 31 | 2019 | 7488863 | 4216 | 0 | TBC | monthly | 3 | |
19001 | 19001 | Hong Kong | Hong Kong | 0 | 2019-04-01 | 2019-04-30 | 30 | 2019 | 7488863 | 4074 | 0 | TBC | monthly | 4 | |
19002 | 19002 | Hong Kong | Hong Kong | 0 | 2019-05-01 | 2019-05-31 | 31 | 2019 | 7488863 | 4028 | 0 | TBC | monthly | 5 | |
19003 | 19003 | Hong Kong | Hong Kong | 0 | 2019-06-01 | 2019-06-30 | 30 | 2019 | 7488863 | 3837 | 0 | TBC | monthly | 6 | |
19004 | 19004 | Hong Kong | Hong Kong | 0 | 2019-07-01 | 2019-07-31 | 31 | 2019 | 7488863 | 3962 | 0 | TBC | monthly | 7 | |
19005 | 19005 | Hong Kong | Hong Kong | 0 | 2019-08-01 | 2019-08-31 | 31 | 2019 | 7488863 | 3859 | 0 | TBC | monthly | 8 | |
19006 | 19006 | Hong Kong | Hong Kong | 0 | 2019-09-01 | 2019-09-30 | 30 | 2019 | 7488863 | 3716 | 0 | TBC | monthly | 9 | |
19007 | 19007 | Hong Kong | Hong Kong | 0 | 2019-10-01 | 2019-10-31 | 31 | 2019 | 7488863 | 3924 | 0 | TBC | monthly | 10 | |
19008 | 19008 | Hong Kong | Hong Kong | 0 | 2019-11-01 | 2019-11-30 | 30 | 2019 | 7488863 | 3946 | 0 | TBC | monthly | 11 | |
19009 | 19009 | Hong Kong | Hong Kong | 0 | 2019-12-01 | 2019-12-31 | 31 | 2019 | 7488863 | 4636 | 0 | TBC | monthly | 12 | |
19010 | 19010 | Hong Kong | Hong Kong | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 7488863 | 4749 | 0 | TBC | monthly | 1 | |
19011 | 19011 | Hong Kong | Hong Kong | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 7488863 | 4789 | 2 | TBC | monthly | 2 | |
19012 | 19012 | Hong Kong | Hong Kong | 0 | 2020-03-01 | 2020-03-31 | 31 | 2020 | 7488863 | 4171 | 2 | TBC | monthly | 3 | |
19013 | 19013 | Hong Kong | Hong Kong | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 7488863 | 3899 | 0 | TBC | monthly | 4 | |
19014 | 19014 | Hong Kong | Hong Kong | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 7488863 | 4091 | 0 | TBC | monthly | 5 | |
19015 | 19015 | Hong Kong | Hong Kong | 0 | 2020-06-01 | 2020-06-30 | 30 | 2020 | 7488863 | 3728 | 3 | TBC | monthly | 6 | |
19016 | 19016 | Hong Kong | Hong Kong | 0 | 2020-07-01 | 2020-07-31 | 31 | 2020 | 7488863 | 4117 | 20 | TBC | monthly | 7 | |
19017 | 19017 | Hong Kong | Hong Kong | 0 | 2020-08-01 | 2020-08-31 | 31 | 2020 | 7488863 | 4177 | 62 | TBC | monthly | 8 | |
19018 | 19018 | Hong Kong | Hong Kong | 0 | 2020-09-01 | 2020-09-30 | 30 | 2020 | 7488863 | 3849 | 16 | TBC | monthly | 9 | |
19019 | 19019 | Hong Kong | Hong Kong | 0 | 2020-10-01 | 2020-10-31 | 31 | 2020 | 7488863 | 4184 | 0 | TBC | monthly | 10 | |
19020 | 19020 | Hong Kong | Hong Kong | 0 | 2020-11-01 | 2020-11-30 | 30 | 2020 | 7488863 | 4125 | 4 | TBC | monthly | 11 | |
19021 | 19021 | Hong Kong | Hong Kong | 0 | 2020-12-01 | 2020-12-31 | 31 | 2020 | 7488863 | 4787 | 39 | TBC | monthly | 12 | |
19022 | 19022 | Hong Kong | Hong Kong | 0 | 2021-01-01 | 2021-01-31 | 31 | 2021 | 7488863 | 5278 | 33 | TBC | monthly | 1 | |
19023 | 19023 | Hong Kong | Hong Kong | 0 | 2021-02-01 | 2021-02-28 | 28 | 2021 | 7488863 | 4124 | 18 | TBC | monthly | 2 | |
19024 | 19024 | Hong Kong | Hong Kong | 0 | 2021-03-01 | 2021-03-31 | 31 | 2021 | 7488863 | 4318 | 6 | TBC | monthly | 3 | |
19025 | 19025 | Hong Kong | Hong Kong | 0 | 2021-04-01 | 2021-04-30 | 30 | 2021 | 7488863 | 4096 | 4 | TBC | monthly | 4 | |
19026 | 19026 | Hong Kong | Hong Kong | 0 | 2021-05-01 | 2021-05-31 | 31 | 2021 | 7488863 | 4173 | 1 | TBC | monthly | 5 | |
19027 | 19027 | Hong Kong | Hong Kong | 0 | 2021-06-01 | 2021-06-30 | 30 | 2021 | 7488863 | 4022 | 1 | TBC | monthly | 6 | |
19028 | 19028 | Hong Kong | Hong Kong | 0 | 2021-07-01 | 2021-07-31 | 31 | 2021 | 7488863 | 4141 | 1 | TBC | monthly | 7 | |
19029 | 19029 | Hong Kong | Hong Kong | 0 | 2021-08-01 | 2021-08-31 | 31 | 2021 | 7488863 | 4063 | 0 | TBC | monthly | 8 | |
19030 | 19030 | Hong Kong | Hong Kong | 0 | 2021-09-01 | 2021-09-30 | 30 | 2021 | 7488863 | 3877 | 1 | TBC | monthly | 9 | |
19031 | 19031 | Hong Kong | Hong Kong | 0 | 2021-10-01 | 2021-10-31 | 31 | 2021 | 7488863 | 4256 | 0 | TBC | monthly | 10 | |
19032 | 19032 | Hong Kong | Hong Kong | 0 | 2021-11-01 | 2021-11-30 | 30 | 2021 | 7488863 | 4252 | 0 | TBC | monthly | 11 | |
19033 | 19033 | Hong Kong | Hong Kong | 0 | 2021-12-01 | 2021-12-31 | 31 | 2021 | 7488863 | 4754 | 0 | TBC | monthly | 12 | |
19034 | 19034 | Hong Kong | Hong Kong | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 7488863 | 4736 | 0 | TBC | monthly | 1 | |
19035 | 19035 | Hong Kong | Hong Kong | 0 | 2022-02-01 | 2022-02-28 | 28 | 2022 | 7488863 | 6092 | 531 | TBC | monthly | 2 | |
19036 | 19036 | Hong Kong | Hong Kong | 0 | 2022-03-01 | 2022-03-31 | 31 | 2022 | 7488863 | 12216 | 7081 | TBC | monthly | 3 | |
19037 | 19037 | Hong Kong | Hong Kong | 0 | 2022-04-01 | 2022-04-30 | 30 | 2022 | 7488863 | 5552 | 1483 | TBC | monthly | 4 | |
19038 | 19038 | Hong Kong | Hong Kong | 0 | 2022-05-01 | 2022-05-31 | 31 | 2022 | 7488863 | 4255 | 70 | TBC | monthly | 5 | |
19039 | 19039 | Hong Kong | Hong Kong | 0 | 2022-06-01 | 2022-06-30 | 30 | 2022 | 7488863 | 3496 | 23 | TBC | monthly | 6 | |
19040 | 19040 | Hong Kong | Hong Kong | 0 | 2022-07-01 | 2022-07-31 | 31 | 2022 | 7488863 | 3952 | 102 | TBC | monthly | 7 | |
19041 | 19041 | Hong Kong | Hong Kong | 0 | 2022-08-01 | 2022-08-31 | 31 | 2022 | 7488863 | 4191 | 187 | TBC | monthly | 8 | |
19042 | 19042 | Hong Kong | Hong Kong | 0 | 2022-09-01 | 2022-09-30 | 30 | 2022 | 7488863 | 4252 | 471 | TBC | monthly | 9 |
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CREATE TABLE [economist_historical_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] TEXT, [cadence] TEXT , [month] INTEGER); CREATE INDEX [idx_economist_historical_deaths_country] ON [economist_historical_deaths] ([country]); CREATE INDEX [idx_economist_historical_deaths_cadence] ON [economist_historical_deaths] ([cadence]); CREATE INDEX [idx_economist_historical_deaths_end_date] ON [economist_historical_deaths] ([end_date]);