This just got published and is very good.

A new study that asks: How has extreme poverty changed in the last 2 centuries?

The authors estimate poverty in many ways.
Their main innovation is to rely on 'a cost of basic needs approach' based on Bob Allen’s recent work.

👇 thread
The authors write that in 1820 roughly three-quarters of the world "could not afford a tiny space to live, food that would not induce malnutrition, and some minimum heating capacity.”

As you see in the chart above, the huge majority of the world was extremely poor in the past.
Since 1820 the share in extreme poverty across the globe declined to 10%, "the lowest level ever achieved", according to this study.

But of course more recently the share in extreme poverty has unfortunately increased.
Just as in this @OurWorldInData chart the authors of the new study find that the *number* of extremely poor people increased steadily until about 30 years ago.

Since then the number of people living in extreme poverty declined.
But of course with *very* large differences across world regions.

This is something that has not been done before (to the best of my knowledge): a breakdown of the share in extreme poverty across world regions over the last two centuries.
The new report is here oecd.org/publications/h…

It is very interesting more broadly. I’m happy to see that the authors rely on our @OurWorldInData work – with @EOrtizOspina – on the history of the welfare state and quote our historical numbers.
For me it’s in some ways bad, because we just submitted a paper in which we also study the history of global poverty…

But while it reduces the uniqueness of our forthcoming paper, I’m very happy to see how close our poverty estimates are to this study.
And one thing we do in our forthcoming paper (currently under peer-review) which is not done here is to look at higher poverty lines – not just 'extreme poverty', but also $5, $10, and higher poverty lines.
What's striking in this paper is how close the various estimates for poverty in the past are.

That's striking because there is a large uncertainty around these estimates, but also because a large share of the world was living just below, or just above this basic needs threshold.
And it's great to see this because it was my old 'boss' Tony Atkinson who recommended to use such a cost of basic needs method as an alternative (or complementary) method in monitoring poverty.
As I said, the authors also study extreme poverty by world region, this is the history of Europe.

A large share there was very extremely poor two centuries ago. As it was the first region to achieve strong growth poverty then declined and after a rise around WWII got close to 0.
These are the estimates for Latin America and the Caribbean.

A high share of people remained in extreme poverty for much of the 19th century. Much later than in Europe did poverty start to decline and a significant share is still very poor.
The history of poverty in South and Southeast Asia – dominated poplation-wise by India – is again very different:

• A high share of poverty during the colonial period – and rising in the first half of the twentieth century.
• And a rapid decline in poverty since independence.
I've just written about how colonial rule kept large shares of the world in poverty and why the end of colonial oppression is one reason to hope that countries where people are still extremely poor today can leave poverty behind in the years ahead.

(here ourworldindata.org/poverty-minimu…)
The study is mostly focused on getting the data right and explaining the methodology.

One thing that I think is good is that they give some indication of the quality of the data, even if such an assessment is necessarily always somewhat subjective.
What the study is less focusing on is the question of how this extremely large decline of poverty was possible.
The cited Bob Allen is one of the great experts on this big question if you are looking for research on this.

For example read: amazon.com/Industrial-Rev…

Or for a very short one amazon.de/-/en/Robert-C-…
What the study does include is this plot of the correlation between poverty and GDP per capita over time.

Of course these measures are highly correlated – where average incomes are high, poverty is low.

But not perfectly, because the distribution of incomes matters too.
Anyways, I'll leave it at that.

If you are interested in the history of extreme poverty, we wrote this article about it two years ago: ourworldindata.org/extreme-histor…

And soon we'll publish our new paper that I mentioned above.
If you actually read this far into this thread then you are probably really intersted in poverty!

Perhaps you find these recent one of mine useful:

– What should our ambitions for the future of poverty be? ourworldindata.org/higher-poverty…

– How can we get there?
ourworldindata.org/poverty-minimu…

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More from @MaxCRoser

25 Mar
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
Read 8 tweets
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

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