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Our World in Data

Our World in Data

Research Services

Research and data to make progress against the world’s largest problems.

About us

Poverty, disease, hunger, climate change, war, existential risks, and inequality: The world faces many great and terrifying problems. It is these large problems that our work at Our World in Data focuses on. Thanks to the work of thousands of researchers around the world who dedicate their lives to it, we often have a good understanding of how it is possible to make progress against the large problems we are facing. The world has the resources to do much better and reduce the suffering in the world. We believe that a key reason why we fail to achieve the progress we are capable of is that we do not make enough use of this existing research and data: the important knowledge is often stored in inaccessible databases, locked away behind paywalls and buried under jargon in academic papers. The goal of our work is to make the knowledge on the big problems accessible and understandable. As we say on our homepage, Our World in Data is about Research and data to make progress against the world’s largest problems.

Website
http://www.ourworldindata.org
Industry
Research Services
Company size
11-50 employees
Type
Nonprofit
Founded
2012
Specialties
data visualization, open source, and research

Employees at Our World in Data

Updates

  • There are huge differences in death rates from road injuries, even across high-income countries— (This Data Insight was written by Hannah Ritchie.) Roads in rich countries tend to be much safer than those in low- and middle-income countries. Cars are more modern, infrastructure is better, and driving laws are stricter and better enforced. However, there are still huge differences between high-income countries. This is obvious from the chart, which shows death rates from road injuries across various countries. Rates can vary more than 20-fold. I was recently surprised to find that my country, the United Kingdom, has some of the safest roads in the world, alongside Sweden, Singapore, and Norway. It can be easy to complain about the situation in our own country without considering what things are like elsewhere. Road deaths are incredibly high in several Middle Eastern countries, like Saudi Arabia, Oman, and the United Arab Emirates. These countries tend to have far more high-speed highways, drivers often cover much longer distances, and the enforcement of regulations such as speed limits, seatbelt use, and driving distractions is weaker. These countries have reduced fatality rates in recent years, but still have much higher death tolls than other rich countries. Read Hannah’s article on how the United Kingdom built some of the world’s safest roads: https://lnkd.in/g5E7FkHh

    • Horizontal bar chart showing number of deaths from road injuries per 100,000 people in 2021 for 16 high-income countries; deaths include drivers and passengers, motorcyclists, cyclists, and pedestrians. Highest is Saudi Arabia at 45 per 100,000, followed by Oman 36 and United Arab Emirates 20. United States 11, Chile 9.5. Mid-range examples: Australia 4.8, Italy 4.8, Canada 4.4, France 4.4, Spain 3.7, Germany 3.3. Lower end: Japan 2.2, United Kingdom 2, and Norway, Singapore, and Sweden each 1.9. Annotation states that death rates in Middle Eastern high-income countries are 10 to 24 times higher than in those with the safest roads. Data source listed as IHME, Global Burden of Disease (2024); note that the metric is age-standardized for cross-country comparisons; image marked CC BY.
  • You can now copy our charts to the clipboard for easy sharing! Just click the “Share” icon in the bottom right of any chart and select “Copy chart as image”. No need to take a screenshot. From the same menu you also have options to embed our interactive charts (including archived versions) in any website, share the link to the chart via different apps (such as mail or messages), and copy the link to your clipboard. If instead you want to download the image file, you can do that too by clicking the “Download” icon to the left of the “Share” icon. We design our work to have an impact beyond what our team can achieve directly. That’s why we use a permissive Creative Commons license and include these easy options to share and download our charts. This work was engineered on our team by Marcel Gerber. Try it out: https://lnkd.in/g-gUVwGR

    • No alternative text description for this image
  • Anxiety is the most common mental health condition globally. It’s estimated that 4% to 5% of people in the world have an anxiety disorder at any given time. Long-term surveys in the United States suggest that around one-third of people experience an anxiety disorder at some point in their lives. That means most of us will either struggle with anxiety ourselves or know someone close who has or will. Many of you have probably seen the huge impact anxiety can have on people’s everyday lives, and how life-changing it can be to have effective treatments that alleviate symptoms. In a new article, we examine the history of pharmacological treatments (that is, drugs) used to treat anxiety since the 1950s. These changed a lot in the five decades until the early 2000s, but there have been no new anxiety medications approved since 2004. While there has been a slowdown in the number of new drugs approved for anxiety (which is the focus of our article), the usage and number of prescriptions for anti-anxiety medications have likely continued to increase in recent decades. It can be hard to get concrete and consistent data on this because many of the most recent drugs are primarily antidepressants; so even when prescription figures are available, it’s usually not clear whether they are being used to tackle depression or anxiety. In some cases, it can be both. Even in just the last few years, there have been noticeable increases in the percentage of American adults receiving mental health treatment, which includes taking medications. Read more in the new article by Hannah Ritchie and Tuna Acisu: https://lnkd.in/gY4dp9sU

    • Bar chart showing the estimated number of people globally who had one of several mental health conditions. This is whether or not they were diagnosed, based on representative surveys, medical data, and statistical modeling.

Anxiety is the most common mental health condition globally, with an estimated 359 million people (4.4% of the world population) suffering from an anxiety disorder in 2021 (the latest year available).

Next is depressive disorders (332 million, 4%), bipolar disorder (37 million, 0.5%), schizophrenia (23 million, 0.3%) and eating disorders (16 million, 0.2%).

The data source is the IHME Global Burden of Disease Study from 2024. The chart is licensed CC BY to Our World in Data.
  • Our World in Data reposted this

    🔍 Introducing our new, more powerful search! → https://lnkd.in/gcsqQJfH With such a rich publication — nearly 14,000 charts and hundreds 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. What’s changed? 1) Search for everything in one place Before, the best place to search for data (our Data Catalog) was outside of our main search. Now, we’ve brought them together in the same experience. Use the buttons at the top to narrow your focus. Our 350+ Data Insights are now also included! 2) Richer display of search results Our charts let you view data in many ways: as line & bar charts, maps, tables, & more. Now, these different views — and key data points — are part of the results, helping you find what you want more easily. The views also respond to searches for particular countries. 3) Results tailored to your search For example, searching for a country vs searching for a topic don’t give the same results template. They’re presented in a different way to give you the most relevant results. This new search is thanks to our teammates Matthieu Bergel, Sophia Mersmann, Marwa Boukarim, Martin Račák, and Joe Hasell. We love feedback! Let us know what you think of our new search by replying here or emailing info@ourworldindata.org. We hope you find it useful! Try it out → https://lnkd.in/gcsqQJfH

  • Democracies tend to have lower levels of corruption— What difference does it make when people can choose their leaders? One area where the right to vote for political leaders may matter is corruption. Democracy and corruption are hard to measure. One possible way to understand how countries perform on these fronts is to ask experts who study them closely. These expert judgments aren’t perfect, but we think they’re useful. The V-Dem project surveys experts to assess how democratic each country is. Are elections free and fair? Do all citizens have equal voting rights? Are fundamental freedoms — like speech and assembly — respected? Experts also rate how frequent corruption is in public institutions, from bribery and embezzlement to whether laws are enforced fairly. This chart combines these expert estimates: democracy on the horizontal axis and corruption on the vertical axis, with both scores on a scale from 0 to 1. There are four corners in the chart: In the top left, you find many countries that are both autocratic and corrupt, such as Myanmar and Russia. In the bottom right, there’s a thick cluster of nations that have stronger democratic institutions and lower levels of corruption. What also stands out is that no country appears in the top right: none are rated as both having strong democratic institutions and being highly corrupt. This chart shows correlation, not causation — but research on the causal link suggests democratic systems can indeed help expose and reduce corruption. And there is also a causal impact running the other way: corruption can weaken democratic institutions, for instance by lowering voter turnout. (This Data Insight was written by Simon van Teutem, Bastian Herre, and Edouard Mathieu.) Measuring corruption will always be difficult, and no single chart can fully capture it. You can explore more evidence and perspectives in the new version of our topic page on corruption: https://lnkd.in/grMtXpWH

    • This scatter plot illustrates the relationship between political corruption and electoral democracy indices for various countries in 2024. The vertical axis represents the political corruption index, ranging from 0, indicating less corruption, to 1, indicating more corruption. The horizontal axis shows the electoral democracy index, also ranging from 0 to 1, where higher values suggest greater levels of democracy.

The chart is titled "Countries that are more democratic tend to be less corrupt" 

Each country is represented by a point on the graph, with countries like Denmark and Singapore positioned closer to the lower end of the corruption scale and higher on the democracy scale, indicating they are less corrupt and more democratic. In contrast, countries like Myanmar and Russia are closer to the higher end of the corruption index. 

The data is sourced from V-Dem, with estimates based on expert evaluations. The chart is licensed CC BY to Our World in Data.
  • 🔍 Introducing our new, more powerful search! → https://lnkd.in/gcsqQJfH With such a rich publication — nearly 14,000 charts and hundreds 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. What’s changed? 1) Search for everything in one place Before, the best place to search for data (our Data Catalog) was outside of our main search. Now, we’ve brought them together in the same experience. Use the buttons at the top to narrow your focus. Our 350+ Data Insights are now also included! 2) Richer display of search results Our charts let you view data in many ways: as line & bar charts, maps, tables, & more. Now, these different views — and key data points — are part of the results, helping you find what you want more easily. The views also respond to searches for particular countries. 3) Results tailored to your search For example, searching for a country vs searching for a topic don’t give the same results template. They’re presented in a different way to give you the most relevant results. This new search is thanks to our teammates Matthieu Bergel, Sophia Mersmann, Marwa Boukarim, Martin Račák, and Joe Hasell. We love feedback! Let us know what you think of our new search by replying here or emailing info@ourworldindata.org. We hope you find it useful! Try it out → https://lnkd.in/gcsqQJfH

  • Almost one billion children have died globally since 1950— The deaths of children are daily tragedies on an enormous scale. The UN estimates that between 1950 and 2024, 990 million children died. That’s almost a billion children who died in only 75 years. The chart shows that the world has made progress. In 1950, 23% of children born died before they were five years old. Since then, the global child mortality rate has declined to 3.6%. In absolute terms, the number of child deaths has also declined: in 1950, 20 million children died; by the year 2000, this number had halved; and since then, it has halved again. But the deaths of millions of young children every year remain one of the worst problems in the world and deserve much more attention. (This Data Insight was written by Max Roser and Edouard Mathieu.) Explore more data from the UN’s World Population Prospects in our Population & Demography Data Explorer: https://lnkd.in/gwBJYadQ Subscribe to our newsletter to receive our Data Insights directly in your inbox: https://lnkd.in/g6cAqPkc

    • The UN estimates that 990 million children have died globally since 1950.

Bar chart showing annual number of children who died before age five from 1950 to 2024, with a long-term downward trend. Key points annotated: 1950 annual child deaths about 20 million, child mortality rate 23%; deaths peaked in 1960 as millions died during the "Great Leap Forward" famine in China; 2000 annual child deaths about 10 million, child mortality rate 7.6%; 2024 annual child deaths about 5 million, child mortality rate 3.6%. X-axis runs from 1950 to 2024. Data source: UN, World Population Prospects (2024). License: CC BY.
  • A decade ago, the most frequent opinion among smokers was that vaping was less harmful than tobacco. But ten years on, the opposite is true: over a third say that vapes are just as or even more dangerous. You can see this shift in opinion in the chart. The scientific evidence is clear that this is incorrect. While vapes are not risk-free, they are less harmful than tobacco. A smoker who replaces cigarettes with e-cigarettes will reduce their health risks and potentially live a longer and healthier life. The fact that many smokers believe the opposite means that many will not try e-cigarettes as a way to quit. That’s a shame because e-cigarettes are the most effective quitting tool available. At the same time, given the current evidence we have about vaping rates among young people, policymakers have very valid concerns about how to best promote e-cigarettes as a safer cessation tool without actively encouraging millions of teens to start. Striking this balance is difficult, but crucial. The stakes are high. Smoking is the leading risk factor for early death in many countries and kills more than six million people every year. The mistaken belief that vaping is just as harmful means fewer smokers make the switch that could save their lives. Closing this perception gap could save millions of people. ✍️ Read more in the new article by Hannah Ritchie, which includes answers to some of the most frequently asked questions about vaping and its effects: https://lnkd.in/gswh7cJa

    • Two bar charts comparing perceptions of the harm caused by vaping versus cigarettes among smokers in England for the years April 2015 and April 2025. 

The title is "Most smokers in England now think that vaping is more harmful than cigarettes — but the opposite is true". While vaping is not risk-free, experts consider it to be much less harmful to health than tobacco.

In April 2015, the data shows that:
- 35% of respondents believed vaping was less harmful than tobacco.
- 35% thought it was equally harmful.
- 14% considered vaping to be more harmful.
- 16% were unsure.

By April 2025, the perception had shifted significantly:
- 12% believed vaping was less harmful.
- 35% thought it was equally harmful.
- 38% now viewed vaping as more harmful, making this group the largest.
- 15% remained unsure.

This is based on a survey of 27,000 current smokers. The data source is identified as "Smoking in England (2025)." The chart is attributed to "Our World in Data" with a CC BY license.
  • Life expectancy has increased at all ages— It’s a common misconception that life expectancy has increased only because fewer children die. Historical mortality records show that adults today also live much longer than adults in the past. It’s true that child mortality rates were much higher in the past, and their decline has greatly improved overall life expectancy. But in recent decades, improvements in survival at older ages have been even more important. The chart shows the period life expectancy in France for people of different ages. This measures how long someone at each of those ages would live, on average, if they experienced the death rates recorded in that year. For example, the last point on the top dark-red line shows that an 80-year-old in 2023 could expect to live to about 90, assuming mortality rates stayed as they were in 2023. As you can see, life expectancy in France has risen at every age. In 1816, someone who had reached the age of 10 could expect to live to 57. By 2023, this had increased to 84. For those aged 65, it rose from 76 in 1816, to 87 in 2023. The data for many other countries shows the same. This remarkable shift is the result of advances in medicine, public health, and living standards. (This Data Insight was written by Esteban Ortiz-Ospina.) Explore the data for more countries, and read more about how life expectancy is measured: https://lnkd.in/gQ7fvi8V

    • A line graph depicting life expectancy for French individuals of various ages, from 1816 to 2023. The y-axis represents life expectancy in years, ranging from 30 to 90 years. Each line corresponds to different ages: at birth, 10-year-olds, 25-year-olds, 45-year-olds, 65-year-olds, and 80-year-olds.

Each line shows fluctuations in life expectancy over time but there is a notable increase for all age groups. Significant historical events, such as the Franco-Prussian War, the Spanish Flu, and World War II, are marked on the timeline, indicating periods of impact on life expectancy. 

The data sources for the chart are the Human Mortality Database and the UN WPP. The chart is licensed CC BY to Our World in Data.
  • A century of progress in access to primary education— The world has made major progress in expanding access to education. A century ago, most children did not have the option to go to school at all. Today, access to education is widely seen as a basic right that governments are expected to provide. And most governments succeed — according to statistics compiled by UNESCO, about 9 in 10 children of primary school age are enrolled. The chart shows how this expansion unfolded for boys and girls separately. Throughout most of the 20th century, enrollment rose steadily, but boys remained more likely to be in school than girls. It was only towards the end of the century that this gap began to close. Today, the gap is small: around 91% of boys and 89% of girls are enrolled in primary school. While the gap is small globally, it remains large and persistent in some countries. In Chad, in Central Africa, about 80% of boys are enrolled in primary school, compared with 67% of girls. This difference has shown little change in recent years. (This Data Insight was written by Esteban Ortiz-Ospina.) Explore enrollment gender gaps for all countries and across education levels: https://lnkd.in/gq5ci2cp Subscribe to our newsletter to receive our Data Insights directly in your inbox: https://lnkd.in/gd_4ubhw

    • This is a line graph depicting the global gender gap in primary school enrollment from 1900 to 2023. The vertical axis represents the percentage of primary school-age children enrolled in primary education, ranging from 0% to 100%. The horizontal axis shows the years from 1900 to 2023. 

There are two lines on the graph: one represents girls and the other represents boys. In 1900, about 31% of boys and 23% of girls were enrolled in primary education. The lines gradually rise, reflecting an increase in enrollment over time. By 2023, the enrollment rates are nearly equal, with 91% of boys and 89% of girls enrolled. 

The data sources for the information presented are the UNESCO Institute for Statistics (2025) and the study by Lee and Lee (2016). The image is credited to Our World in Data and is licensed under CC BY.

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