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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19312 | Argentina | Argentina | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 45510324 | 26898 | 321 | 29393.5276537128 | -2495.52765371281 | 26577 | 0.705334464329456 | -5.4834319652675 | -0.084900583662934 | monthly | 5 | 6073.74193548387 | 72.4838709677419 | 6637.24817987063 | -563.506244386763 | 6001.25806451613 | 0.159269072590522 | -1.23819431473782 | ||
21389 | Argentina | Argentina | 0 | 2020-05-01 | 2020-05-31 | 31 | 2020 | 45510324 | 26898 | 321 | 29393.5276537128 | -2495.52765371281 | 26577 | 0.705334464329456 | -5.48343196526751 | -0.0849005836629337 | monthly | 5 | 6073.74193548387 | 72.4838709677419 | 6637.24817987063 | -563.506244386763 | 6001.25806451613 | 0.159269072590522 | -1.23819431473782 |