A very helpful interactive interactive visualization on global poverty.

@DanyX23 built this tool that lets you see the share of every country that lives below any absolute poverty line you might be interested in.

This is the share living on less than $20 per day.

👇link/thread
Here is the link to this tool that Daniel Bachler built – have a look at it, it is very interesting really: observablehq.com/@danyx/share-o…

And as another example this chart shows the share of the world population living on less than $10 per day. Image
He based this visualization on my last post for which I made this visualization that shows the share of the world living on less than $30 per day.

"How much economic growth is necessary to reduce global poverty substantially?"

–– ourworldindata.org/poverty-minimu… Image
But @DanyX23's tool is much more powerful than my one-off chart.

For example you can also see how poverty changed over time.

(Because the countries are ordered by share in poverty, the order of countries changes over time.) ImageImage
These two charts show the share living on less than $2 per day in 1981 and 2017.

This is close to the UN's 'International Poverty Line' of $1.90.

As in all such data, consumption/income is adjusted for price differences between countries and over time (inflation) ImageImage
This shows the share of people living on less than $1 per day.

It would be important to publish statistics on such very low poverty lines more regularly.
As this data shows, there are several countries in which a large share of the population lives on less than this every day. Image
This is the view on the share of people living on less than $40 per day.

In rich countries the majority lives on more than that – in Norway it is 83% who live on more than $40 per day.

But in the majority of countries almost everyone lives on less that. Image
If you are interested in global poverty and global inequality have a look at his work here observablehq.com/@danyx/share-o…

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More from @MaxCRoser

9 Mar
Just saw that the World Health Organization is now relying on the COVID vaccination database that we are producing at @OurWorldInData!

Great to see that our work is useful for them during this pandemic.
• On our site you find it here: ourworldindata.org/covid-vaccinat…
• On the WHO's site here:
worldhealthorg.shinyapps.io/covid/
And as I mentioned before, this database is maintained by just one person: my colleague Edouard Mathieu.

Edouard started the global vaccination database in December and by now he keeps the entire world informed about the global vaccination campaign.

Follow him here: @redouad
Read 4 tweets
7 Mar
The IPCC climate reports rely on scenarios of how the world will change in the coming decades.

This is the IPCC's description of the 'Sustainability Scenario'.

What does the IPCC assume for economic growth here?
Global GDP per capita increases to over $80,000 per person.
Better health and education, an 'emphasis on human well-being', and lower resource and energy intensity –– the future described in that scenario sounds like a future that I'd like to help achieve.

At the same time that scenario is the most optimistic about global CO2 emissions.
This scenario (SSP1) is also a future in which deforestation comes to an end – and instead we see substantial reforestation and much more space for the wildlife on our planet.

[this paper on the SSPs is very helpful
sciencedirect.com/science/articl…]
Read 6 tweets
5 Mar
I’ve written a new post about global poverty.

Here is the post: ourworldindata.org/higher-poverty…

👇 Below you find a thread with the main points.
The poverty that dominates the public discussion is the 'International Poverty Line'.

It is used by the UN to measure what they call ‘extreme poverty’ and is the relevant poverty definition for the UN’s goal of ‘ending extreme poverty’ by 2030.

2/n
This poverty line is drawn by taking the average poverty lines in 15 of the poorest countries in the world.

As a consequence it is extremely low. It is set at $1.90 per day.

3/n
Read 22 tweets
19 Feb
A new draft of a visualization that I’ve done again and again over the years and never quite like.

The 2 question with cause-of-death-charts for me are always:
How much detail should I give on the many causes?
Which chart type to use?

Do you have ideas for how to improve? Image
This is a version of the same that I spent many hours on some years ago and then never published..

While the new one focuses on the big picture, this one gave a much more detailed perspective. Image
Or the other extreme, a very simple stacked bar chart (originally it was vertical, but for Twitter’s landscape format I put it on its side). Image
Read 4 tweets
15 Feb
Israel has been leading on vaccinations: Among people older than 60 years 90% had the 1st dose; 80% had 2 doses.

The peak of hospitalizations in Israel was 24 days ago. Since then hospitalizations among that age group declined by 45%.

[More data ourworldindata.org/vaccination-is…]
The chart looks the way it would look if the vaccines have the impact we hope they have – but the chart could also look like this for other reasons than vaccines and descriptive statistics are not enough to know that some other reason might explain the differences we see.
For example: young people could be less worried about infecting their parents and therefore are less cautious than before so that cases (and hospitalizations) among young people are increasing, while they are falling for older people.
Read 4 tweets
9 Feb
Health researchers estimate that every year 8 million people die an early death due to smoking. This means that 15%(!) of global deaths are attributed to smoking.

Smoking causes incredible suffering globally – but we can win the fight: A thread. 👇
All data and research in this thread can be found in our @OurWorldInData entry on smoking: ourworldindata.org/smoking
With the knowledge that smoking causes cancer and the evidence that cancer didn’t only increase with smoking, but also declined when smoking declined, it may appear obvious that smoking kills.

But it wasn't obvious *at all* until the second half of the 20th century.
Read 26 tweets

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