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Daily Data Insights

Bite-sized insights on how the world is changing, published every weekday.

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A chart showing the computation used to train notable AI systems, measured in total floating-point operations (FLOP) and highlighting two distinct eras. In the first era from 1950 to 2010, the training computation doubled approximately every 21 months. With the rise of deep learning since 2010, it has been doubling approximately every 6 months. The y-axis ranges from 100 FLOP to 100 septillion FLOP. Several systems are highlighted, from early systems such as Theseus and the Perceptron Mark 1 to recent systems such as GPT-4 and Gemini 1.0 Ultra.

Since 2010, the training computation of notable AI systems has doubled every six months

Artificial intelligence has advanced rapidly over the past 15 years, fueled by the success of deep learning.

A key reason for the success of deep learning systems has been their ability to keep improving with a staggering increase in the inputs used to train them — especially computation.

Before deep learning took off around 2010, the amount of computation used to train notable AI systems doubled about every 21 months. But, as you can see in the chart, this has accelerated significantly with the rise of deep learning, now doubling roughly every six months.

As one example of this pace, compared to AlexNet, the system that represented a breakthrough in computer vision in 2012, Google’s system “Gemini 1.0 Ultra” just 11 years later used 100 million times more training computation.

To put this in perspective, training Gemini 1.0 required roughly the same amount of computation as 50,000 high-end graphics cards working nonstop for an entire year.

Read more about how scaling up inputs has made AI more capable in our new article by Veronika Samborska

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A flow diagram showing the total number of international migrants by their birthplace and residence in 2020. The left side presents the continents that migrants moved from, with the following data: Asia has 115 million migrants, Europe has 63 million, Africa has 41 million, North America has 30 million, South America has 18 million, and Oceania has a small number that’s not specified. 

The right side illustrates the continents migrants moved to, with Asia receiving 81 million migrants, Europe gaining 85 million, Africa receiving 23 million, North America attracting 58 million, South America getting 11 million, and Oceania receiving a small number. Flow lines connect the two sides, indicating the movement patterns of migrants. 

The diagram is titled "Most people who leave their country stay on the same continent." The data source is credited to the UN Department of Economic and Social Affairs from 2020, and further information can be found at OurWorldinData.org/migration. The licensing is indicated as CC BY.

Most migrants stay in the continent where they were born

Moving between continents is less common than moving to another country within the same region. For most people, international migration means crossing a nearby border, rather than a very long distance or even an ocean.

Consider Asia, the world's most populous continent.

When an Asian emigrant leaves their home country, they can either move to another Asian country or head to one of the other five continents.

Data from the United Nations Department of Economic and Social Affairs shows that six out of ten Asian emigrants remain within Asia. In other words, more Asian emigrants move to other Asian countries than to all other continents combined.

European and North American emigrants show an even stronger tendency to stay in their continent, at 70% and 87%, respectively. This share is smaller in Africa and South America, at around half.

While this data aims to include illegal migrants, experts acknowledge the challenges in fully measuring these populations.

Read our full article on how far migrants travel from their home countries

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A line graph illustrates the share of the population in Bangladesh with access to basic electricity from 1991 to 2021. Basic electricity means it can provide lighting, and charge a phone or power a radio for at least four hours per day.

Annotations on the graph explain: "In 1991, only ~14% of the Bangladeshi population had basic access to electricity" and "In 2021, 99% of people had electricity access."

In the last 30 years, almost everybody in Bangladesh gained access to basic electricity

In 1991, fewer than 15% of people in Bangladesh had access to electricity. Thirty years later, access was almost universal.

Over 100 million Bangladeshis have gained access to electricity during this time. This enables them to light their homes, use household appliances, or stay connected through phones and the Internet.

The statistic measures the lowest “tier” of energy access: the capacity for basic lighting and charging a phone for at least four hours a day. But more than half the people in Bangladesh now also have a higher tier of electricity access, which means capacity to power high-load appliances (such as fridges) and electricity for more than eight hours a day.

The UN has set a target to achieve universal access to electricity by 2030. Currently, about 9 in 10 people worldwide have basic access to electricity.

You can explore the progress in other countries in our SDG Tracker here

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The chart shows global cement production from 1926 to 2023, highlighting a significant rise in production over the last century. The y-axis represents production in billions of tons, and the x-axis shows the timeline.

From 1926 to around 2000, there was a steady increase in cement production, followed by rapid growth between 2003 and 2013, during which production doubled. The chart notes this doubling with a marker. After 2013, growth slowed, with the line showing a plateau and slight fluctuations. The graph emphasizes that growth in cement production has decelerated over the last decade after the earlier rapid expansion.
A bar chart displays the number of refugees per 1,000 people in various countries for the year 2023. The countries are listed on the left alongside their corresponding values represented by horizontal bars. Lebanon has the highest number, with 137 refugees per 1,000 people, followed by Jordan with 60. Turkey follows with 37, while Germany has 31. Poland shows 25 refugees per 1,000, and the Netherlands has 13. France reports 10, the UK shows 6.5, Italy has 5, and the US has the lowest with 1.2. Each country is accompanied by its national flag. The data is sourced from UNHCR for 2024 and can be found at OurWorldInData.org/migration.

Countries differ sharply in how many refugees they host

Some countries take in far more refugees than others relative to their population.

A refugee is defined by the UN as someone needing international protection, who has fled their home country and whose home country’s government cannot or will not protect them.

This chart shows the cumulative number of refugees per 1,000 people in the country where they live as of 2023.

There are huge differences between countries: Lebanon hosts 137 refugees for every 1,000 residents — over four times as many as Germany (31) or Poland (25). Those numbers are still much higher than the Netherlands (13) and France (10), far above the United States at just 1.2 refugees per 1,000 residents.

These differences reflect conflicts in neighboring regions and national policies welcoming or deterring refugees.

Explore the number of refugees per 1,000 people for more destination countries

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A world map illustrates the share of the population living in multidimensional poverty, defined as deprivation in health, education, and living standards. The map employs varying shades of purple and pink to indicate the percentage of the population affected by multidimensional poverty in different countries. 
Countries are marked with a gradient from light pink (representing 0% of the population living in multidimensional poverty) to dark purple (representing 100%). For some countries, specific percentages are highlighted, such as 91% in Niger, 84% in Chad, and 80% in the Central African Republic. Areas with no data are shown in diagonal stripes. The footer notes the data comes from Alkire, Kanagaratnam, and Suppa (2024) as part of the Global Multidimensional Poverty Index (MPI) 2024. It mentions that the estimates are based on recent household survey data from 2011 to 2023, but for 62% of countries, the data refers to the period after 2018. The chart is published by Our World in Data.

In many countries, more than half of the population faces poverty in multiple dimensions

The experience of poverty goes far beyond having no or low income. Unfortunately, still in many countries today, a large share of people experience severe poverty in many areas of life, such as health, education, and living standards.

To capture this broader reality, researchers from the Oxford Poverty and Human Development Initiative and the UN Development Programme developed the global Multidimensional Poverty Index. This group of indicators measures poverty across essential areas of well-being, capturing whether people are undernourished, whether they lost a child, and lack access to education or basic facilities like clean water or electricity.

The map shows the share of the population in each country living in multidimensional poverty, highlighting where households face overlapping deprivations.

In countries across South America and some in East Asia, this share is less than 10%. But in many countries in Sub-Saharan Africa, more than half of the people experience these extreme conditions. The share even exceeds 4 in 5 people in Niger (91%), Chad (84%), and the Central African Republic (80%).

These figures are based on data from over 100 countries drawn from household surveys conducted between 2011 and 2023.

Read more on our article: Beyond income: understanding poverty through the Multidimensional Poverty Index

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This chart titled "The world has passed 'peak child'" shows the historical and projected population of three age groups: young people under 25 years, young people under 15 years, and children under 5 years. Data spans from 1950 to 2100, based on UN estimates and projections.

The blue line represents the population under 25 years, showing steady growth until around 2050 when it starts to slightly decline.
The red line represents those under 15 years, peaking around 2020, and then gradually declining after that point.
The green line shows children under 5 years, which has largely plateaued since the 1990s and is projected to decrease over time.
The chart indicates that the global number of children has reached its peak, and a long-term decline in younger populations is expected.

The world has passed “peak child”

The number of children in the world has stopped growing. This moment in time was given the term “peak child” by the late Hans Rosling.

The chart shows the estimated number of children under five years old globally up to 2023, with projections from the United Nations out to 2100. The UN thinks the number of under-5s peaked in 2017.

The chart also shows the number of young people under 15, which peaked in 2021. And the number of under-25s, which may have peaked last year.

“Peak child” is a sign that the world is on course for “peak population”. The UN expects the world population to start falling before the end of the century.

Read more about the key insights from the latest UN World Population Prospects →

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What share of children die before their fifth birthday?

What could be more tragic than the death of a young child? Child mortality, the death of children under the age of five, is still extremely common in our world today.

The historical data makes clear that it doesn’t have to be this way: it is possible for societies to protect their children and reduce child mortality to very low rates. For child mortality to reach low levels, many things have to go right at the same time: good healthcare, good nutrition, clean water and sanitation, maternal health, and high living standards. We can, therefore, think of child mortality as a proxy indicator of a country’s living conditions.

The chart shows our long-run data on child mortality, which allows you to see how child mortality has changed in countries around the world.

Explore and learn more about this data
Explore and learn more about this data

Share of population living in extreme povertyWorld Bank

Life expectancy at birthLong-run estimates collated from multiple sources by Our World in Data

Per capita CO₂ emissionsLong-run estimates from the Global Carbon Budget

GDP per capitaLong-run estimates from the Maddison Project Database

Share of people that are undernourishedFAO

Literacy rateLong-run estimates collated from multiple sources by Our World in Data

Share of the population with access to electricityWorld Bank

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