Dataset · Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset)
Excess Mortality During the COVID-19 Pandemic
Excess Mortality During the COVID-19 Pandemic, 2026 compilation · 122 countries · 3 measures
Excess mortality counts how many more people died from all causes during the COVID-19 pandemic than the trend of earlier years predicted, per 100,000 people. Because it does not depend on how deaths were attributed, it is the most comparable measure of the pandemic's full toll — including deaths from COVID-19 that were never recorded as such and deaths from disrupted health care.
This site holds one edition, Excess Mortality During the COVID-19 Pandemic, 2026 compilation, read from Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset)’s own data and stored exactly as published.
Excess Mortality During the COVID-19 Pandemic · the file
- Newest
- Excess Mortality During the COVID-19 Pandemic, 2026 compilation
- Held
- 1 edition · 122 rows
- Licence
- Other open terms
01One edition
Every edition
Newest first. Each opens the full table for that edition, and each downloads as a CSV.
| Edition | Countries | Change | Read | Download |
|---|---|---|---|---|
| Excess Mortality During the COVID-19 Pandemic, 2026 compilation | 122 | — | October 3, 2026 | CSV |
Every edition in one file, one row per country per edition: excess-mortality-all-editions-nations-inquiry.csv
028 columns
What’s in the file
Every column, what it holds, how it is stored and what its values look like — what a reader needs before opening the file.
| Column | What it holds | Stored as | Range, 2026 | Distinct | Empty | Spread |
|---|---|---|---|---|---|---|
CountrycountryName | The country’s name, as this file spells it. | Text | — | 122 | 0 | |
ISO Codecountry_codeIdentifier | The ISO 3166-1 alpha-3 code, added by this site. Every table here joins on it. | Text · 3 letters | — | 122 | 0 | |
Excess deaths per 100,000 people, 2020 to end of dataexcess_per_100kHeadline | The headline figure: Excess deaths per 100,000 people, March 2020 to the end of each country's data (at most December 2023). | Number · up to 1 decimal | -264.9 | 122 | 0 | |
Excess deaths, 2020 to end of dataexcess_deathsMeasure | The authors’ total of deaths above the expected baseline over the same window, as a whole number; negative means fewer deaths than expected. | Number · whole numbers | -330 | 120 | 0 | |
Excess deaths as % of a year's expected deathsexcess_percent_of_baselineMeasure | The excess over the same window as a percentage of one year’s expected deaths, as the authors publish it. | Number · up to 1 decimal | -27.3 | 114 | 0 | |
Years coveredperiodReading year | The years this country’s cumulative count covers, from March 2020 to the last month of published deaths; a shorter window means a smaller total. | Year | — | 4 | 0 | |
Data untildata_untilLabel | The last date of this country’s death counts, exactly as the authors write it. | Text | — | 13 | 0 | |
Death countsdata_frequencyLabel | Whether the country’s death counts are weekly or monthly. | Text | — | 2 | 0 |
Profiled from the newest file. Range: the lowest and highest value, with the country holding it when only one does. Spread: countries in ten equal steps from lowest to highest. A higher value is the worse result.
03122 countries across every edition
Who is covered
How many countries each edition holds, continent by continent, who joined and who left, and which places this site covers that the dataset never has.
| 2026 | |
|---|---|
| Africa | 9 |
| Americas | 31 |
| Asia | 31 |
| Europe | 46 |
| Oceania | 5 |
| All | 122 |
One edition, covering 122 countries.
Not in this dataset · 103 places this site covers
Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset) gives no figure for these in any edition held here. It is the publisher’s choice of scope, and each place’s profile shows what is measured.
04Provenance
Where it comes from
The path from the publisher to this page, and what was checked and changed on the way.
1 · Publisher
Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset)
2 · Their file
Excess mortality during the COVID-19 pandemic (World Mortality Dataset)
3 · Read by this site
October 3, 2026
Imported by a script that parses each figure and writes it down unrounded.4 · Stored as
1 file, one per edition
It downloads as a CSV: excess-mortality-all-editions-nations-inquiry.csv5 · Used on
Its statistic page, and every profile it measures
Precision
The headline is stored to 1 decimal, as published.
Rounded by this site
Never. Tables on screen may show fewer decimals; the files never do.
Changed by this site
Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
From the table published by Ariel Karlinsky and Dmitry Kobak, who compiled the World Mortality Dataset from national statistical offices and computed each country's baseline; stored as they publish it, with the reported COVID-19 death counts and the model's uncertainty left out.
05Reuse
Licence and credit
What the publisher’s licence lets you do, what it asks of you, and a credit line and citation ready to copy.
Licence · checked October 3, 2026
- Share and redistribute it
- Adapt it and build on it
- Use it commercially
- Credit the publisher
The publisher’s own written permission to reuse, commercial use included. Read the terms before republishing.
In plain words
The authors license this table under the GNU General Public License v3.0, a copyleft licence written for software: you may reuse and change it, commercially too, provided you credit the authors, say what you changed and share any changed version under the same licence.
A credit line
Karlinsky, A. and Kobak, D. (2021). Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife 10:e69336. Data: github.com/dkobak/excess-mortality (excess-mortality.csv).
Cite this dataset
Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset). Excess Mortality During the COVID-19 Pandemic, Excess Mortality During the COVID-19 Pandemic, 2026 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/excess-mortality
The publisher’s own citation: Karlinsky, A. and Kobak, D. (2021). Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife 10:e69336. Data: github.com/dkobak/excess-mortality (excess-mortality.csv).
Plain-language summary, not legal advice. The licence text is what binds.
06Where it is used
Around the site
Where these numbers appear on this site, and the datasets nearest to it.
Charted
Excess Mortality During the COVID-19 Pandemic by countryWho is highest, the map, the spread, who rose and fell, and the records.
Subjects
Near neighbours
- Life Expectancy at BirthUN DESA Population Division · 74 held · 1950–2023
- Under-Five Mortality RateUN IGME · 73 held · 1952–2024
- Prevalence of Severe Food InsecurityFAO · 9 held · 2015–2023
07Questions
Excess Mortality During the COVID-19 Pandemic: questions and answers
What is the Excess Mortality During the COVID-19 Pandemic?
Excess mortality counts how many more people died from all causes during the COVID-19 pandemic than the trend of earlier years predicted, per 100,000 people. Because it does not depend on how deaths were attributed, it is the most comparable measure of the pandemic's full toll — including deaths from COVID-19 that were never recorded as such and deaths from disrupted health care.
Which editions of the Excess Mortality During the COVID-19 Pandemic can I download?
One: Excess Mortality During the COVID-19 Pandemic, 2026 compilation, as a CSV file.
Does Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset) rank countries on it?
No, and this site does not order it either. The files hold values only.
Can I use it commercially?
Yes, under GNU GPL-3.0, with credit to Ariel Karlinsky and Dmitry Kobak (World Mortality Dataset). The licence text is linked on this page.