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Our World in Data

Our World in Data

Research Services

A free, nonprofit website with a mission to increase understanding of the world’s largest problems and help solve them.

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

  • 📊 Data update: Are Americans worried about AI taking their jobs? As artificial intelligence advances rapidly, how are Americans’ attitudes about it changing? Are they becoming more concerned about automation, or less? Answering these questions is harder than it might seem. Long-run, comparable opinion data on AI is rare. Most surveys only provide a snapshot at a single point in time, making it hard to track meaningful changes in public sentiment. Two recurring surveys from YouGov, a UK-based polling and market research firm, are among the few sources that let us study these trends over time. One survey, shown in the chart here, asks working American adults how worried they are about their jobs being automated. The other asks Americans whether robots will ever surpass human intelligence. Our colleague Veronika Samborska recently updated both charts with the latest releases from YouGov. Both surveys are updated twice a year, with the next release expected around mid-2026. Explore the updated data in our interactive charts: https://lnkd.in/e7qYcGeK

    • Stacked bar chart of survey responses showing how worried US working adults are that their work could be automated within their lifetime, across survey waves from January 14, 2021 to January 7, 2026. The data source is the YouGov (2026). The chart is licensed CC BY to Our World in Data.
  • China’s Great Leap Forward caused a dramatic spike in child deaths— Child mortality rates in China have fallen from more than 20% in 1950 to less than 1% today. But this steady progress was interrupted in the late 1950s during the “Great Leap Forward”. This was China’s national plan to industrialize rapidly, but it resulted in widespread famine and economic turmoil. As the chart shows, child mortality rates spiked in China over this period, with up to one in three children dying before reaching the age of five. This change was so dramatic that it is also clearly visible in the global trend. This data comes from the UN’s World Population Prospects. (This Data Insight was written by Hannah Ritchie and Pablo Arriagada.) Explore child mortality for all countries in our interactive chart: https://lnkd.in/eK6TERri

    • Line chart of the estimated share of newborns who die before reaching the age of five from 1950 to 2023 where child mortality in China spikes to about 1 in 3 children during the Great Leap Forward (1958 to 1962), producing a noticeable uptick in global rates. After the 1960s both China and world rates decline steadily to low single digits by 2023.
  • 📊 Data update: How much revenue do governments collect, and where does it come from? Governments fund public services — from healthcare and education to infrastructure and defense — largely through taxation. But how much tax revenue countries collect varies widely, as the chart shows. Here, it's expressed as a share of GDP to allow comparison across countries of different sizes. In some countries, like Bangladesh and Ethiopia, tax revenue is less than 10% of GDP. In others, like Italy and France, it’s more than 40%. Understanding how governments raise revenue is key to understanding fiscal policy, state capacity, and the relationship between taxation and development. The UNU-WIDER Government Revenue Dataset is one of the most comprehensive cross-country datasets on government revenue composition. Our colleague Pablo Arriagada recently updated our charts with the latest release, which now covers 198 countries and territories from 1980 to 2023. Explore all of the updated data in our interactive charts: https://lnkd.in/ejAKz6nv

    • Choropleth world map of tax revenue as share of GDP in 2023 where country shading indicates tax revenue as a percentage of GDP. It shows higher shares around 35 to 45 in much of Europe, parts of Latin America, and Australia, and lower shares around 0 to 15 across many countries in Africa and parts of Asia. Several countries are marked as having no data. The data source is the UNU-WIDER Government Revenue Dataset (2025). The chart is licensed CC BY to Our World in Data.
  • 📊 Data update: There are now nearly 800 million active mobile money accounts in the world— You probably use a bank account every day without thinking about it — to buy groceries, pay a bill, or receive your salary. But for more than a billion people worldwide, transactions only happen with cash — no easy way to send or receive money remotely, and a constant risk of loss or theft. Mobile money is changing this. Unlike banking apps or services like Venmo, it doesn't require a bank account, smartphone, or internet. People make payments and receive deposits by simply dialling a short code on a basic mobile phone. This technology has spread rapidly, especially across Sub-Saharan Africa, where hundreds of millions of people now rely on it. You can see this in the chart, which our colleague Veronika Samborska recently updated with the latest release of the Global Mobile Money Dataset from the GSM Association (GSMA). The GSMA has tracked mobile money data since 2009. The data now extends through 2024. You can read more about mobile money and how it's expanding financial access and changing lives in our article. There you can also explore the interactive version of this chart. https://lnkd.in/e68JUtuy

    • Stacked area chart of active mobile money accounts by region where global accounts rise from near zero in 2010 to nearly 800 million by 2025. Growth is driven largely by Sub-Saharan Africa, with increasing contributions from East Asia and Pacific, South Asia, and Latin America and the Caribbean. The data source is  GSM Association (2025). The chart is licensed CC BY to Our World in Data.
  • Estimates suggest that 45% of abortions globally are unsafe — but this varies widely across regions. Around 4 in 10 women worldwide live in countries where abortion is illegal or highly restricted. But these bans do not stop abortions completely; many women still get them, but in unsafe and unsanitary conditions. A study published in The Lancet estimated that 45% of abortions globally are unsafe. In some regions, the share is estimated to be around three-quarters. You can see this in the chart. This data is around ten years old, but represents the latest estimates available (suggesting that this topic gets very little attention). Unsafe abortions dramatically increase the health risks for women. Safe abortions have very low mortality rates, typically below 1 death per 100,000 abortions. In regions where the majority of abortions are unsafe, mortality rates can be several hundred times higher; in Western and Middle Africa, around 1 in 200 abortions result in the woman dying. It’s estimated that approximately 8% of maternal deaths in the world are caused by unsafe abortions. That’s 23,000 women every year. (This Data Insight was written by Hannah Ritchie.) Read more about the human cost of unsafe abortions in Hannah’s recent article: https://lnkd.in/eDB5tinv

    • Estimated share of abortions that are unsafe

Horizontal bar chart showing estimated percentage of abortions that are unsafe by region, with a global average highlighted at 45%. A note above explains safe abortions have a fatality rate of less than 1 per 100,000 abortions and that unsafe procedures can have fatality rates hundreds of times higher. 

Footer notes and data sources: based on modelled estimates over the period 2010 to 2014 (more recent data is not available); estimates of abortion rates and their safety are uncertain for many countries, particularly where abortions are banned or severely restricted. Data source: Ganatra et al. (2017), titled "Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model." Published on OurWorldInData.org; chart licensed under CC-BY by the author Hannah Ritchie.
  • Albert Einstein reshaped our understanding of the universe. But what would his chances have been if he'd been born in the Central African Republic, one of the world's poorest countries? And what could the world's poorest children grow up to be if they had his circumstances? Talent is everywhere. Opportunity is not. We are all losing out because of this. The map shows the global distribution of research and development, here given as the number of R&D researchers per million people. In some countries, like South Korea, Singapore, and the US, there are thousands. In some of the poorest countries, almost none. There is a strong correlation between economic development and research & development. If all countries in the world had the same concentration of researchers as rich countries, there would be around three times as many researchers in the world. We would all benefit from this. Beyond their private returns, big insights and discoveries can benefit society as a whole. The very best ideas — think about penicillin, synthetic fertilizers, or vaccines — benefit every person on the planet. Learn more — including what you can do to help — in Max Roser’s article: https://lnkd.in/ff-rkrw

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  • What share of income goes to the richest 1% in your country? How about the richest 10% or 0.1%? How has that changed over time? The World Inequality Database (WID) is the leading source for answering questions about incomes and wealth at the very top of the distribution. Standard household surveys tend to undercount incomes at the top — the wealthiest are harder to reach, less likely to respond, and more likely to underreport. The WID addresses this by combining surveys with tax records and national accounts, giving a more complete picture of how income and wealth are distributed across the population. Built by an international network of over a hundred researchers, the WID provides data for countries around the world, with some series going back over a century. Our colleague Pablo Arriagada recently updated our charts with the latest WID data. Explore all of the updated data in our interactive charts: https://lnkd.in/eSgGRp3x

    • Line chart of the income share of the richest 1% of the population (before taxes and benefits) showing trends from 1974 to 2024 for Chile, India, the USA, France, and Finland. It shows Chile with the highest and most volatile share, peaking above 30 percent, India and the USA rising steadily to about 20 to 25 percent by 2024, and France and Finland remaining lower and comparatively stable around about 5 to 12 percent. The data source is the World Inequality Database (2026). The chart is licensed CC BY to Our World in Data.
  • 📊 Data update: Where are people being forced from their homes because of conflict or disaster? A record 83 million people globally were living in internal displacement at the end of 2024 — forced from their homes by conflict, violence, or natural disasters, but remaining within their own country's borders. Unlike refugees, who cross international borders, internally displaced people are often harder to track and don't show up in all migration statistics. Our colleague Tuna Acisu recently updated around 20 of our charts with the latest data from the Internal Displacement Monitoring Centre (IDMC). The data covers disaster-related displacements since 2008 and conflict-related displacements since 2009, with global coverage across all countries. This data helps us better understand the human impact of natural disasters, conflicts, and violence — and helps NGOs and governments support those who have been displaced. See the updated data in our Migration, Refugees, and Asylum Seekers Data Explorer: https://lnkd.in/ejJkqXAj

    • Choropleth world map of country-level counts of internally displaced people in 2024 where shading shows the number of people currently displaced within each country. The map highlights very large displaced populations in parts of eastern and central Africa, the Middle East, and South Asia (including Afghanistan and Pakistan), with notable levels in Colombia and parts of Southeast Asia. Much of Europe, North America, Australia and several countries in South America show low or no reported displacement. The data source is the Internal Displacement Monitoring Centre (2026). The chart is licensed CC BY to Our World in Data.
  • Mental health care is scarce everywhere — but in poor countries, it barely exists. Depression, anxiety, and other mental health problems are common everywhere. They are not confined to any particular income level. But access to care is rare. In much of the world, people who struggle with their mental health have almost no psychologists or psychiatrists to turn to. Mental health care is scarce in all places, but it is much scarcer in poor countries. Governments in high-income countries spend about $66 per person per year on mental health care, as the chart shows. In low-income countries, that figure is $0.04. This gap in spending reflects a gap in people. As the WHO’s latest Mental Health Atlas highlights, there is roughly one psychiatrist per million people in low-income countries. High-income countries have 70 times more. A recent study in the Lancet Psychiatry estimated that globally, only 9% of people with major depressive disorder receive a “minimally adequate treatment”. In high-income countries, it is 27%; in Sub-Saharan Africa, just 2%. Hundreds of millions of people in poorer countries live with treatable conditions and have no access to a psychologist or psychiatrist. It is one of the largest gaps in global health — and one that receives remarkably little attention or funding. There are efforts to close this gap without waiting for the workforce to catch up. One approach is to train lay counsellors — people without formal clinical qualifications who learn to provide psychological support. Randomized trials in India and Zimbabwe have shown this can be effective for depression. Another approach is to use technology: apps and, increasingly, AI-based tools that can extend the reach of limited clinical expertise. These are not substitutes for a functioning mental health system, but in places where that system barely exists, they offer a starting point. (This Data Insight was written by Max Roser.) Read more on our page on mental health: https://lnkd.in/gmPg_je

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  • ✍️ New article: Battery costs have declined by 99% in the last three decades, making electrified transport a reality— Over 20 million electric cars were sold globally in 2025 — some for as little as $10,000. Even just two decades ago, that would have been impossible. The reason it's possible now? Batteries have gotten *much* cheaper. In 1991, lithium-ion battery cells cost around $9,200 per kilowatt-hour. By 2024, that had fallen to just $78 — a decline of more than 99%. You can see this in the chart. To put that in perspective: the battery cells in a standard electric car today cost around $5,000. In 1991, those same cells would have cost nearly $600,000. There was no single breakthrough behind this. Batteries follow a “learning curve”: as cumulative production grows, thousands of small improvements in chemistry, manufacturing, and supply chains drive prices down. Since 1998, every time global cumulative battery production doubled, the price dropped by roughly 19%. Early progress was driven by consumer electronics — phones and laptops — before the technology became viable for cars, buses, and larger energy storage. Energy density has also more than tripled since the 1990s, meaning batteries can now store far more energy for their volume. The half-a-million-dollar battery was never going to transform transport. The $5,000 battery is. Read more in the new article by Hannah Ritchie: https://lnkd.in/dyXvNiD

    • Line chart of representative lithium-ion battery cell prices in US dollars per kilowatt-hour from 1991 to 2024, where prices fall steeply, declining about 99% from roughly $9,200 per kilowatt-hour in 1991 to about $78 per kilowatt-hour in 2024. The data source is Rupert Way (2026) based on Ziegler and Trancik (2021), BloombergNEF, and Avicenne Energy. The chart is licensed CC BY to Our World in Data.

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