covid
This data as json, yaml, Notebook, copyable, CSV
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24911 | Indonesia | Jakarta | 0 | 2020-04-01 | 2020-04-30 | 30 | 2020 | 10770000 | 4550 | 297 | 3023.63839451264 | 1526.36160548736 | 4253 | 2.75766016713092 | 14.1723454548501 | 0.504809572552534 | monthly | 4 | 1061.66666666667 | 69.3 | 705.515625386283 | 356.151041280383 | 992.366666666667 | 0.643454038997215 | 3.30688060613169 | ||
24912 | Indonesia | Jakarta | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 10770000 | 4355 | 139 | 2906.00967432973 | 1448.99032567027 | 4216 | 1.29062209842154 | 13.4539491705689 | 0.498618548475576 | monthly | 5 | 983.387096774193 | 31.3870967741935 | 656.195732913165 | 327.191363861029 | 952.0 | 0.291430796417767 | 3.03798852238653 | ||
24910 | Indonesia | Jakarta | 0 | 2020-03-01 | 2020-03-31 | 31 | 2020 | 10770000 | 4422 | 84 | 3104.50967432973 | 1317.49032567027 | 4338 | 0.779944289693593 | 12.2329649551557 | 0.424379520078229 | monthly | 3 | 998.516129032258 | 18.9677419354839 | 701.018313558326 | 297.497815473932 | 979.548387096774 | 0.176116452511457 | 2.76228240922871 | ||
24908 | Indonesia | Jakarta | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 10770000 | 3303 | 0 | 2951.33978288658 | 351.66021711342 | 3303 | 0.0 | 3.26518307440502 | 0.119152738411392 | monthly | 1 | 745.838709677419 | 0.0 | 666.431563877615 | 79.4071457998046 | 745.838709677419 | 0.0 | 0.737299403897907 | ||
24909 | Indonesia | Jakarta | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 10770000 | 2744 | 0 | 2865.18998122562 | -121.189981225617 | 2744 | 0.0 | -1.12525516458326 | -0.0422973631834972 | monthly | 2 | 662.344827586207 | 0.0 | 691.597581675149 | -29.2527540889421 | 662.344827586207 | 0.0 | -0.271613315589063 |