Bertha Rohenkohl
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bertharohenkohl.bsky.social
Bertha Rohenkohl
@bertharohenkohl.bsky.social
1.3K followers 250 following 23 posts
Research and Data Economics Lead @ Our World in Data | poverty, inequality, labor. Views my own.
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bertharohenkohl.bsky.social
Great to see the new search tool on Our World in Data!

It is now *much* easier to find what you want among the thousands of charts and hundreds of datasets we host

Really amazed by the colleagues who made this happen ✨
ourworldindata.org Our World in Data @ourworldindata.org · 4d
🔍 Introducing our new, more powerful search!

→ ourworldindata.org/search

With such a rich publication—nearly 14,000 charts and 100s of articles on 120+ topics—it can be hard to find what matters to you.

Now, finding what you’re looking for, or discovering something new, has never been easier.
Image of new Our World in Data search page
November 6, 2025 at 11:11 PM
Reposted by Bertha Rohenkohl
paulgp.com
Dropping a beta version of this page while everyone is up and processing baseball!

This tool lets you search the full text of papers from the American Economic Review, American Economic Journal series, and over 30,000 NBER working papers.

paulgp.com/econlit-pipe...
Economics Literature Search
Full-text search across 15,000+ papers from top economics journals and NBER working papers. Track how empirical methods have evolved over time.
paulgp.com
November 2, 2025 at 4:43 AM
Reposted by Bertha Rohenkohl
ourworldindata.org
Interested in bite-sized, data-driven insights on the world and how it’s changing?

Check out our growing catalog of over 350 Data Insights (DIs) — which we’ve just made easier to explore and discover what matters to you!
October 28, 2025 at 9:31 AM
Reposted by Bertha Rohenkohl
ourworldindata.org
How over- and underrepresented are different causes of death in the media?

Another way to visualize this data is to measure how over- or underrepresented each cause is.

To do this, we calculate the ratio between a cause’s share of deaths and its share of news articles.
October 9, 2025 at 5:08 PM
Reposted by Bertha Rohenkohl
ourworldindata.org
In a new article, @hannahritchie.bsky.social explains the Wolbachia method and how it promises to finally give humanity an effective tool against several neglected tropical diseases: ourworldindata.org/wolbachia-ne...
How Wolbachia bacteria could help us tackle some of the world’s most neglected tropical diseases
A common bacterium can dramatically reduce the spread of dengue fever and other tropical diseases.
ourworldindata.org
September 23, 2025 at 11:05 AM
Reposted by Bertha Rohenkohl
ourworldindata.org
A fun chart game that primarily sources its data from Our World in Data!
erwanrivault.com Erwan Rivault @erwanrivault.com · Sep 12
Launch day 🚀

We’ve just released @chartlecc.bsky.social - a daily chart game!

Your job is to guess which country is represented by the red line in today's chart. You get 5 tries, no other clues!

Play today, come back tomorrow for a different chart with new data and share with your chart friends 📈
Chartle - A daily chart game
Guess the country in red by analysing today's chart
chartle.cc
September 15, 2025 at 1:54 PM
Reposted by Bertha Rohenkohl
erwanrivault.com
Launch day 🚀

We’ve just released @chartlecc.bsky.social - a daily chart game!

Your job is to guess which country is represented by the red line in today's chart. You get 5 tries, no other clues!

Play today, come back tomorrow for a different chart with new data and share with your chart friends 📈
Chartle - A daily chart game
Guess the country in red by analysing today's chart
chartle.cc
September 12, 2025 at 1:41 PM
Reposted by Bertha Rohenkohl
ourworldindata.org
📚 The new school year is starting in many places. If you’re a teacher, student, or parent, here are a few ways Our World in Data might be useful to you right now 🧵

Our work is used in classrooms around the world — from top universities to local schools.
September 10, 2025 at 1:36 PM
bertharohenkohl.bsky.social
The international poverty line has changed, it’s now $3 a day.

Our new article explains what changed in the World Bank's latest update and what the new data tells us about global poverty

⤵️
ourworldindata.org/new-internat...
ourworldindata.org Our World in Data @ourworldindata.org · Aug 11
✍️ New article: “$3 a day: A new poverty line has shifted the World Bank’s data on extreme poverty. What changed, and why?” 🧵
A line chart showing the global number of people living in extreme poverty. Extreme poverty is defined as living below the International Poverty Line (IPL), which is $2.15 per day in 2017 prices (shown as a red line on the chart) and $3 per day in 2021 prices (shown as a blue line). 125 million people who would not have been counted as extremely poor before June 2025 (when the IPL was raised to $3 per day) are now included. This data is adjusted for inflation and for differences in living costs between countries. The data source is the World Bank (2024 and 2025). The chart is CC BY Our World in Data.
August 12, 2025 at 8:04 AM
Reposted by Bertha Rohenkohl
ourworldindata.org
When discussing data on income inequality, it's important to be clear about what’s being shown.

Two measures are often used: income *before* people have paid taxes and received benefits from the government, and income *after* government redistribution via taxes and benefits. 🧵
A chart comparing income inequality before and after taxes and government benefits for five countries: Japan, Canada, Germany, the US, and South Africa. Inequality is measured here with the Gini coefficient, one of the most common ways to measure inequality. It summarizes the distribution of incomes within a country into a single number ranging from 0 to 1, where higher values indicate higher inequality. The chart shows the Gini coefficients before and after taxes and benefits in five countries: Japan, Canada, Germany, the US, and South Africa, using the latest available data point for each. Income inequality is lower after taxes and benefits. But by how much varies across countries. For example, Germany and the US have the same Gini before taxes and benefits, but after that redistribution, income inequality is lower in Germany than it is in the US. The data source is the Luxembourg Income Study (2025) and the chart is Creative Commons BY license, published by Our World in Data.
August 1, 2025 at 4:14 PM
bertharohenkohl.bsky.social
Check out these really exciting new features! 🌎
ourworldindata.org Our World in Data @ourworldindata.org · Jun 5
💡 Very excited to announce new features: better interactive maps! 🗺️

– Enhanced country/region selection with several sorting options and a bar chart preview
– Selecting a country highlights it and shows its value on the map
– Zooming to your selection brings up a 3D globe view 🌍
June 5, 2025 at 4:56 PM
Reposted by Bertha Rohenkohl
hannahritchie.bsky.social
Greece is turning its back on coal and replacing it with solar and wind.

Today's data insight: ourworldindata.org/data-insight...

Data from @ember-energy.org.
The image presents a line graph illustrating the shift in Greece's electricity generation sources over time, from 1990 to 2024. There are two main lines: one representing coal and another representing solar and wind energy. Initially, the coal line begins around 60% in 1990, gradually declining to 50% in 2014. A sharp drop occurs after that, leading to a low of about 6% in 2024. In contrast, the solar and wind line starts very low, around 2% in 1990, and rises steeply after 2015, almost tripling to approximately 43% by 2024. Key notes are emphasized in the graph: one states that in 2014, about half of Greece's electricity was generated by coal, while another indicates that only 15% came from solar and wind sources at that time.
June 2, 2025 at 6:01 AM
Reposted by Bertha Rohenkohl
maxwarner.bsky.social
Lots of discussion today about regional investment. You can use our @theifs.bsky.social public spending tool to explore how much the government currently spends in each region of the UK, what it spends it on, and how that has changed over time: ifs.org.uk/calculators/...
Screenshot of the tool showing identifiable capital investment per person in 2023-24 across the regions of the UK
May 30, 2025 at 1:41 PM
Reposted by Bertha Rohenkohl
ourworldindata.org
How can we compare people’s incomes across countries?
The image displays a horizontal bar chart comparing GDP per capita among various countries using two different measurements: international dollars and market dollars. At the top, the United States is shown with a GDP per capita of $74,578 in both measurements (the US is the benchmark country). Below that, Spain follows with a GDP per capita of $32,950 in market dollars and $47,142 in international dollars. Brazil's GDP per capita is indicated as $8,388 in market dollars and $19,018 in international dollars. India's figures are $2,548 in market dollars and $9,160 in international dollars. Burkina Faso is shown with $894 in market dollars and $2,482 in international dollars. Annotations indicate how many times poorer each country is compared to the US in both measurements. The data source is the World Bank, and the notes mention that figures are expressed in constant 2021 prices. The chart was created by Our World in Data and is licensed under CC-BY.
May 27, 2025 at 1:52 PM
bertharohenkohl.bsky.social
International dollars show up a lot in global statistics. But they’re not an actual currency.

They are a way to adjust for differences in the cost of living, helping us compare incomes and how far money goes in different countries.

Read our new explainer ⤵️
ourworldindata.org/internationa...
What are international dollars?
International dollars are used to compare incomes and purchasing power across countries and over time. Here, we explain how they’re calculated and why they’re used.
ourworldindata.org
May 26, 2025 at 10:20 AM
Reposted by Bertha Rohenkohl
theifs.bsky.social
NEW: Sure Start generated widespread, long-lasting benefits for children in education, health, absences, and SEND.

Every £1 of up-front spending on Sure Start could generate around £2 in total benefits over the long run.

THREAD on our new ‪@nuffieldfoundation.org‬-funded report:

[1/11]
Chart shows the effects of Sure Start on academic achievements by age, SEN support by age, probability of hospitalisation by age and criminal behaviour up to age 16.
May 22, 2025 at 6:30 AM
Reposted by Bertha Rohenkohl
ourworldindata.org
Measles once killed millions every year. Vaccines changed this, preventing disease, long-term immune damage and deadly outbreaks.

In this article @scientificdiscovery.dev & @spoonerf.bsky.social explain how vaccines were developed and their impact on saving lives. ourworldindata.org/measles-vacc...
Measles vaccines save millions of lives each year
Measles once killed millions every year. Vaccines changed this, preventing disease, long-term immune damage, and deadly outbreaks.
ourworldindata.org
May 19, 2025 at 11:00 AM
Reposted by Bertha Rohenkohl
maxroser.bsky.social
For the first time ever, China's CO₂ emissions are falling due to clean energy growth, rather than reduced power demand.
May 16, 2025 at 7:57 AM
Reposted by Bertha Rohenkohl
hannahritchie.bsky.social
Almost half (48%) of new cars sold in China in 2024 were electric.

From the IEA's latest Global EV Outlook.

You can explore more data here:
ourworldindata.org/electric-car...
May 16, 2025 at 5:07 AM
Reposted by Bertha Rohenkohl
ourworldindata.org
What do governments spend money on?
A stacked bar chart showing the share of total government spending by category for a selection of OECD countries. The data is from 2022, the latest year available. The countries are Finland, Germany, Japan, Sweden, Greece, the UK, Chile, Australia, South Korea, and the US. The categories are Social protection, Health, Education, Economic affairs, Public services, Other (which includes public safety, environment, housing, and recreation/culture), and Defense. For some categories, such as public services, the share spent is fairly similar across countries: it ranges from a low of 9% in Japan to a high of 15% in the US and Finland. In other categories, such as social protection, the difference across countries is much larger: from a low of 21% in the US to a high of 44% in Finland.
May 15, 2025 at 4:51 PM
Reposted by Bertha Rohenkohl
ourworldindata.org
The length of software tasks AI systems can do on their own has been increasing quickly
A chart illustrates the improvement of AI systems in performing longer software tasks over time. The horizontal axis spans from 2019 to mid 2025, marking the development of various AI models, such as GPT-2, GPT-3, GPT-3.5, and several iterations of GPT-4. The vertical axis indicates the length of time in minutes that tasks take human professionals. Key points highlighted include: - "GPT 3.5 (which came out in Spring 2022) could only do tasks that take humans a few seconds, such as selecting the right file" - "OpenAI's o3(which came out in April 2025) can do tasks on its own that take humans 20 minutes," such as finding and fixing small bugs in code - The observed trend shows a rapid progression in AI capability Accompanying notes indicate that the data is based on 170 tasks across fields like software engineering and machine learning. The source for this data is the Model Evaluation & Threat Research (METR) from 2025, presented under a Creative Commons attribution license.
May 14, 2025 at 4:05 PM
bertharohenkohl.bsky.social
Check out the updated econ data from the IMF on @ourworldindata.org ⬇️
ourworldindata.org Our World in Data @ourworldindata.org · May 6
📊 Data update: We've just updated the data in our charts on GDP growth and unemployment.

This includes observed data through 2024 as well as projections to 2030. This is the latest data from the IMF’s World Economic Outlook.
A line chart showing annual gross domestic product (GDP) growth from 2000 to 2024 (adjusted for inflation), with projections to 2030, for India, China, the US, the UK, and Japan. The data source is the IMF's World Economic Outlook.
May 7, 2025 at 5:27 PM
Reposted by Bertha Rohenkohl
ourworldindata.org
How many people died in the Spanish flu pandemic of 1918–1920?
Bar chart comparing estimated death tolls for a range of flu pandemics.
April 29, 2025 at 2:52 PM
Reposted by Bertha Rohenkohl
ourworldindata.org
Did you know that many journalists around the world rely on our work for their stories?

Giving journalists and others what they need to do good work is a key part of our impact.

In a new article, we share how a data journalist at The Economist, @sondreus.bsky.social, uses Our World in Data:
How a data journalist at The Economist, Sondre Solstad, uses Our World in Data
A story of how our work helps journalists who use data.
ourworldindata.org
April 28, 2025 at 11:08 AM