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Data update

We’ve refreshed key static visualizations on population growth over the long run

How has the world's population changed over the last 12,000 years? How quickly did it grow in different periods, and what do projections tell us about the rest of this century?

We've refreshed four of our most popular static charts that show you answers to these questions, updating them with the latest estimates and projections from the UN World Population Prospects (2024 revision).

These charts show up in multiple places across our work, including these two articles:

This is part of a broader effort by our team of data scientists to build new pipelines for our static visualizations — making it easier to keep them current as new data becomes available, and more consistent visually.

You can learn more about how we combine multiple sources to build our long-run population dataset, spanning from 10,000 BCE to 2100.

Explore all of our work on population on our dedicated topic page
World population growth, 1700 to 2100.

Area chart of world population over time with an overlaid line chart showing the annual growth rate. X axis runs from 1700 to 2100. Key population milestones annotated: about 595 million in 1700; 1 billion in 1805; 2 billion in 1927; 5 billion in 1987; 8 billion in 2022; projected 9 billion in 2037 and 10 billion in 2061. The population curve rises slowly through the 18th and 19th centuries, accelerates sharply in the mid-20th century, then flattens under the projection labeled "Projection (UN medium-fertility variant)." The annual growth rate line peaks at 2.3 percent in 1963, falls to 0.9 percent in 2023, and is projected to decline to negative 0.1 percent by 2100. Data source text in the footer reads: HYDE (2023); Gapminder (2022); UN WPP (2024). Footer also shows OurWorldInData.org with the tagline "Research and data to make progress against the world's largest problems" and a license note: Licensed under CC-BY by the author Max Roser, Hannah Ritchie and Veronika Samborska.
Data update

How much do people around the world trust their governments?

How much do people trust their government? How does this vary across countries, and how has it changed over time?

To help answer these questions, the OECD publishes data on trust in government across 47 countries as part of their How's Life? Well-being Database, drawing on the Gallup World Poll.

In the United States, the Pew Research Center has tracked public trust in government going all the way back to 1958.

I recently updated our charts with the latest releases from both sources.

Explore the updated data in our interactive charts
Line chart of percentage of survey respondents reporting confidence in the national government for a selection of countries from 2007 to 2024, where trust trends diverge across nations. It highlights rising confidence in countries such as Indonesia and Mexico, notable declines in Peru and the United States, and mixed or relatively stable patterns in several European countries. The data source is the OECD. The chart is licensed CC BY to Our World in Data

Data Insight

Horizontal bar chart of the share of workers in informal employment by country (2023) where Madagascar, Angola, India, Bolivia, Peru, and Egypt have very high informal shares of about 96% to 71%, while Norway, Spain, Germany, Italy, and Poland are at the low end around 1.2% to 7.7%.

Outside rich countries, widespread informal work means unemployment rates are low

Last year, three-quarters of the world’s countries had unemployment rates below 10%, according to data from the International Labour Organization. Colombia, where I come from, is in that group.

I initially found Colombia’s relatively low unemployment rate surprising, because it didn’t match what I could see around me: many people doing extremely precarious work.

This chart offers an explanation. It shows, for a selection of countries of different income levels, what share of workers hold informal jobs, meaning work that lacks social protection and basic employment rights (no guaranteed benefits, no formal safety net).

As the chart shows, in Colombia, that share is almost 57%. In many lower-income countries, the share is far higher.

The reality is that low unemployment and widespread informal work can, and often do, happen at the same time. The reason this isn't paradoxical comes down to how these statistics are defined.

To count as employed in labor statistics, a person only needs to have worked for at least one hour during the survey’s reference period, often the past week. The definition is broad and includes self-employment, selling things on the street, and unpaid work in a family farm or family business. Both formal and informal jobs are included.

This means the unemployment rate can remain relatively low in poor countries, not because most workers have found stable, protected jobs, but because many have been absorbed into informal employment.

Read more about informal work and unemployment in our new Work & Employment topic page.

Data Insight

Line chart of the share of electricity production from coal in the UK from 1985 to 2025 where coal fell from almost 70% in the late 1980s to about 0.1% in 2025. The curve shows a steep decline through the 1990s, modest fluctuations around 25 to 35 percent in the 2000s, and a sharp drop after 2012 to near zero by the early 2020s.

Coal power has effectively died in the United Kingdom

The United Kingdom was the birthplace of coal. It has now, effectively, died there.

As shown in the chart, in the late 1980s, around two-thirds of the UK’s electricity came from coal. By the time I was born in the 1990s, this had dropped to just over half.

The use of coal has plummeted in my lifetime. It now makes up around 0.1% of the UK’s electricity.

Coal was first replaced by gas, but is now being pushed out by wind, solar, and biomass.

Explore more charts on the death of British coal.

Article

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The human cost of unsafe abortions

Romania’s history offers a rare natural experiment on what happens when abortion laws change rapidly. What can the rest of the world learn from this?

Data Insight

GDP per capita, 1820 to 2022 — line chart showing GDP per person for Spain and Argentina from 1820 to 2022, with the vertical axis in dollars from $0 to $35,000 and the horizontal axis in years. For much of the 19th and early 20th centuries Argentina has higher GDP per capita than Spain; the two lines meet around the mid 20th century and after about 1960 Spain’s GDP per capita rises sharply and moves well above Argentina’s. By 2022 Spain is near $35,000 per person while Argentina peaks near $20,000 in earlier decades and is around $17,000 by 2022. Data source: Bolt and van Zanden – Maddison Project Database 2023. A note explains that the data is expressed in international-$ at 2011 prices. The license is CC BY.

Until fifty years ago, Argentina was richer than Spain

In a recent Data Insight, I wrote about how Argentina was one of the richest countries in the world at the beginning of the 20th century. Today, I want to follow up with a striking comparison between Spain and Argentina.

The chart shows GDP per capita for Argentina and Spain over the last two centuries. These are historical estimates from the Maddison Project, and the data is adjusted for inflation and differences in the cost of living.

When Argentina declared independence from Spain in 1816, the two countries had very similar GDP per capita. By the late 19th century, Argentina had become richer than its former colonial power, and it stayed ahead for many decades. Spain then started growing faster in the 1960s, and by the mid-1970s it had caught up.

Continued economic growth in Spain after the 1980s drove the large gap we see today. It kept GDP per capita on a steep upward path into the 21st century. Argentina, by contrast, grew more slowly and went through several economic crises, visible on the chart.

Today, Argentina’s GDP per capita is closer to my home country of Colombia than to Western European countries like Spain. This helps us see how much of a difference economic growth can make within just a few generations.

Explore long-run GDP data for all countries in our interactive chart.
Data update

Explore updated data on self-reported life satisfaction around the world

How satisfied are people with their lives? Are they getting more satisfied over time, or less? How does this vary across cultures and life circumstances?

The World Happiness Report (WHR) is one of the key sources we have for answering these questions. Based on the Gallup World Poll, the WHR has published data on life satisfaction since 2012 and covers more than 140 countries worldwide.

I’ve just updated our charts with the latest data (through 2025) from the 2026 edition of the report, released today.

The WHR is a partnership of Gallup, the Oxford Wellbeing Research Centre, the UN Sustainable Development Solutions Network, and the WHR’s Editorial Board.

Explore all of the updated data in our interactive charts
Choropleth world map of average self-reported life satisfaction by country in 2025, measured on a 0 to 10 ladder. The map shows country averages from a survey asking respondents to place their current life on a ladder with 10 as the best possible life and 0 as the worst. The data source is the World Happiness Report (2026). The chart is licensed CC BY to Our World in Data.

Data Insight

In the 1980s, youth literacy was higher in Sub-Saharan Africa than South Asia, but that has changed

Line chart comparing the share of the population aged 15 to 24 years who can read and write a simple sentence in 1985 and 2023 for Sub-Saharan Africa and South Asia. In 1985 Sub-Saharan Africa was at 63% and South Asia at 53%. By 2023 South Asia rose to 93% while Sub-Saharan Africa reached 79%, so the regional lead reversed as South Asia improved faster. Annotations note that in 1985 only around half of young people in South Asia had basic literacy skills, and by 2023 almost all young people in South Asia do, while literacy in Sub-Saharan Africa also improved but at a slower pace. Data source: UNESCO Institute for Statistics (2025).

In the 1980s, youth literacy was higher in Sub-Saharan Africa than in South Asia; it’s now the opposite

Forty years ago, young people had higher literacy rates in Sub-Saharan Africa than in South Asia. You can see on the chart that the region had a 10-percentage-point lead in 1985.

But things have changed a lot since then. Sub-Saharan Africa now lags by more than 14 percentage points.

While literacy has improved in both regions, it has done so much faster in South Asia. There, almost all young people have basic reading and writing skills. In Sub-Saharan Africa, most of them do, but there is still a significant lag behind other world regions.

In South Asia, the increase in literacy rates among young women has been particularly dramatic. In the mid-1980s, only around 40% had basic reading skills. That has more than doubled to over 90%, and the gap between young men and women has essentially closed.

Explore how other educational and literacy measures compare across countries, age groups, and gender in our work on global education.

Data Insight

The 10 countries with the highest GDP per capita in 1910.
Horizontal bar chart ranking countries by estimated GDP per capita in 1910, from highest to lowest: United States $9,600; New Zealand $8,500; Australia $8,300; Switzerland $8,000; United Kingdom $7,700; Canada $6,500; Belgium $6,500; Argentina $6,100; Netherlands $6,000; Denmark $5,900. Data source: Bolt and van Zanden – Maddison Project Database 2023. CC BY. Note: Units correspond to international-$ at 2011 prices. Figures are rounded.

Argentina was one of the richest countries in the world at the beginning of the 20th century

When I first visited Buenos Aires some years ago, I was struck by how grand the city's historic architecture was. This is something that strikes many tourists: parts of the city feel closer to Paris than you’d expect from a country whose income level today is more similar to my home country of Colombia than to France.

This chart helps put that observation in perspective. It shows the ten richest countries in the world in 1910, according to GDP per capita estimates from economic historians.

By this measure, Argentina was among the world’s richest countries in 1910, ahead of several Western European countries, including Germany and France. It also stood clearly ahead of its peers in Latin America at the time.

But over the course of the 20th century, Western European economies grew far faster, especially after the Second World War, and Argentina fell behind.

A long-run perspective like this shows how much of a difference economic growth can make within just a few generations.

Explore long-run data on GDP per capita for all countries.

Article

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Why cheap waste management is key to stopping plastic pollution

Improving waste management in low- and middle-income countries could cut global pollution by 98%.

Data Insight

The median age in China has rapidly caught up with the United Kingdom.

Line chart of median age for China and the United Kingdom from 1950 to 2025, with the vertical axis in years from 0 to 40 and the horizontal axis showing years 1950 to 2025. A line labeled United Kingdom stays around mid-30s in 1950, dips slightly to about 33 by the mid-1970s, then gradually rises to about 40 by 2025. A line labeled China starts around 22 in 1950, falls to about 18 to 19 in the mid-1960s and 1970s, then climbs steadily to meet the UK at about 40 in 2025. Annotated note: in the mid-1960s China’s median age was just under half that of the UK; another note states that today the median age in both countries is 40 years. Data source: UN, World Population Prospects (2024). License: CC BY.

The median age in China has rapidly caught up with the United Kingdom

In 1965, the median age in the United Kingdom was almost twice that of China. Half of the people in the UK were younger than 34 years, and half were older. In China, this midpoint was just 18 years.

Within just a few generations, that age gap has closed.

As you can see in the chart, the median age in both countries is now 40 years. Both populations have aged, but the increase was far faster in China.

In the 1950s and early 1960s, China’s median age fell partly because of a fall in child mortality: birth rates remained high, and more children survived.

After that, the rapid increase is largely explained by a steep fall in fertility, and therefore in births. Before then, high birth rates meant that large cohorts of children were continually entering the population, keeping it young. When births fell, fewer children were added each year, and the large, earlier generations grew older.

China’s median age is expected to continue rising quickly: under the UN’s medium projections, it will be 10 years older than the UK's by 2050.

Explore more data on how the age structure of populations is changing across the world.

Data Insight

Smoking killed 100 million in the 20th century; this century, it has already killed far more

Bar chart comparing estimated premature deaths attributed to tobacco (including direct smoking and secondhand smoke): 20th century (1900 to 1999) — 100 million; 21st century so far (2000 to 2023) — 163 million. 

Note: Projections based on current smoking rates suggest that smoking could kill one billion people this century.
Data sources: Prabhat Jha (2009) and IHME, Global Burden of Disease.

Smoking has already killed far more people this century than in the entire 20th century

Throughout the entire 20th century, about 100 million people died earlier than they would have because of smoking. That’s a lot, but it pales in comparison to the expected numbers for this century.

Between 2000 and 2023 alone, smoking-related deaths are estimated at 163 million. You can see this comparison in the chart.

Some epidemiologists project that unless there is a substantial change in smoking uptake and rates across the world, there could be as many as one billion smoking-related deaths in the 21st century.

In the 20th century, most of these occurred in today’s high-income countries. In the 21st century, most will come from low- and middle-income countries.

Many of the people who are expected to die are smoking today, but even more are expected to be future smokers. Finding ways to help people stop smoking and prevent them from starting matters for keeping this huge figure in the millions, not billions.

People often ask whether vaping is safer than smoking. I tackled this question in a recent article — the short answer is “yes”.

Data Insight

After huge progress on extreme poverty, is its decline coming to an end?

Stacked area chart showing the number of people living in extreme poverty from 2000 to 2040 (extreme poverty defined as living below the international poverty line of $3 per day, adjusted for inflation and price differences). Projections by the World Bank begin around 2024 and are marked with a vertical dashed line.

Key points: total extreme poor falls from about 2.2 billion in 2000 to about 895 million around 2020, then is projected to edge up to about 932 million by 2040. The decline from 2000 to 2020 is driven by large reductions in East Asia & Pacific and South Asia; Sub-Saharan Africa remains relatively high throughout and becomes the largest contributor to the total, causing the later stagnation and slight rise. Region labels on the chart include South Asia, East Asia & Pacific, Sub-Saharan Africa, and a small band labeled MENA, Afghanistan, Pakistan.

Data source: Lakner et al. (2024), updated using World Bank PIP. CC BY.

The world has made huge progress in reducing extreme poverty; could this be coming to an end?

At the turn of the millennium, 2.2 billion people in the world lived in extreme poverty. In international statistics, this means they survived on less than $3 per day (in today’s money).

In the two decades that followed, this number more than halved. You can see this decline in the chart.

This huge reduction was driven by rising incomes and poverty alleviation across East and South Asia. In Sub-Saharan Africa, the opposite happened: while the share living in extreme poverty declined, the total number increased.

Looking ahead, based on the latest available projections from researchers at the World Bank, this reduction in global extreme poverty is expected to end. In fact, numbers in 2040 might be higher than they are today.

This is because most of the extremely poor today live in countries with stagnant economies. If these do not see much stronger economic growth, the world will have nearly one billion living in dire poverty for decades to come.

Note that these projections are based on the latest growth projections from the World Bank and the IMF. From 2031 onward, poverty projections are based on the average growth rates observed from 2015 to 2024.

Read my colleague Max Roser’s article, “The end of progress against extreme poverty?”, which goes into this question in much more detail.

Article

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What are the world’s deadliest animals, and can we protect ourselves against them?

Deaths from other animals are mostly caused by just two types: mosquitoes and snakes.

Data Insight

In 2025, solar and wind produced more power than fossil fuels in the European Union.

Line chart of electricity generation share in the EU from 1990 to 2025 comparing fossil fuels and solar and wind. Fossil fuels begin around 55 percent in 1990, stay roughly 50 to 55 percent through about 2010, then decline steadily to about 28 to 30 percent by 2025. Solar and wind start near 0 percent in 1990, rise slowly in the 1990s and 2000s, accelerate after 2010 and reach roughly 28 to 30 percent by 2025, crossing the fossil fuels line in 2025. Not shown: 24 percent of electricity came from nuclear, and 17 percent from other renewables. Data source: Ember (2026).

In 2025, solar and wind produced more electricity than fossil fuels in the European Union

Just a decade ago, almost three times as much electricity in the European Union was coming from fossil fuels as from solar and wind.

But last year, for the first time, solar and wind produced more than coal, gas, and oil combined. They accounted for just over 30% of total electricity production.

You can see this rise of solar and wind — and fossil fuels’ decline — in the chart.

This record happened despite a poor year for wind output due to low wind speeds and a slight increase in gas to compensate for lower hydropower output from dry conditions.

Explore more data for specific European countries based on the latest update from Ember.

Data Insight

Line chart of average age of women who married for the first time, 2002 to 2020, for Spain, Italy, and Portugal, with the vertical axis spanning roughly 25 to 35 years. All three countries show steady increases: Spain rises from about 29 in 2002 to 35 in 2020 and is highest by 2020; Italy rises from about 28 to 34; Portugal rises from about 26 to 32 and shows the largest increase—more than six years over the period. Data source: OECD (2025), licensed CC BY.

Women in Spain, Italy, and Portugal marry on average six years later than just two decades ago

Marriage is closely linked to decisions about having children in many societies. It also matters for legal rights, family finances, and many other aspects of life.

The age at which people marry has rapidly changed in many countries. The chart shows this by tracking the average age at first marriage among women, using records from national statistics.

In Portugal, Italy, and Spain, the average age at first marriage has risen rapidly and consistently. Portugal saw the largest increase: from around 26 years in 2002 to over 32 years by 2020. This is more than six years in less than a generation. It’s also the largest increase among the countries in the OECD Family Database with data available from the early 2000s up to 2020 (the most recent year with available data in the series).

Changes in the timing of marriage have come together with other related shifts. For instance, a growing share of people are not marrying at all.

Read more about marriages and explore the data for other countries.

Data Insight

Annual number of objects launched into space

Line chart showing annual counts from 1957 to 2025 on the horizontal axis and counts from 0 to 5,000 on the vertical axis. The caption notes this includes satellites, probes, landers, crewed spacecraft, and space station flight elements launched into Earth orbit or beyond. From 1957 through about 2015, the plotted lines for individual countries and the world stay low and relatively flat; after about 2018, there is a sudden, steep rise, with the world total climbing to roughly 4,000 to 5,000 launches per year and the United States rising to just under the world total. Other series shown in the legend — China, Russia, Japan, France, Germany, United Kingdom, India, and European Space Agency — also increase more modestly and remain well below the world and United States lines. Data source: United Nations Office for Outer Space Affairs (2026). License: CC BY.

A record number of objects went into space in 2025

4,510 objects were launched into space in 2025, surpassing the previous peak of 2,903 objects in 2023 by a large margin.

The data shows that US agencies and companies were responsible for launching 3,708 of these objects — 82% of the global total.

The vast majority of these American launches consist of small satellites deployed as part of large commercial “constellations”. These interconnected networks of satellites now account for the bulk of all objects sent into orbit.

The rapid growth of satellite constellations makes it possible to expand Internet connectivity, but it also increases concerns regarding space debris and the congestion of Earth’s orbital environment.

Explore our interactive chart of objects launched into space.

Data Insight

Oil spills from tankers have fallen by more than 90% since the 1970s.

Stacked bar chart showing annual counts of tanker oil spills from 1970 to 2024, with the vertical axis labeled 0 to 120 spills and the horizontal axis by year. Bars are stacked to show two categories: medium oil spills (7 to 700 tonnes) and large oil spills (greater than 700 tonnes). Only medium and large spills are included; smaller spills are excluded.

Key annotations: a callout at 1974 notes 117 oil spills occurred that year, 27 of them large; a callout at 2024 notes 10 oil spills occurred that year, 5 of them large. Overall the chart shows a sharp peak in the early to mid-1970s, followed by a long-term decline in annual spill counts, with much lower and relatively stable numbers from the 2000s onward and a slight uptick toward 2024.

Data source in the footer: ITOPF (2025); website OurWorldInData.org/oil-spills. License: CC BY.

Oil spills from tankers have fallen by more than 90% since the 1970s

In the 1970s, oil spills from tankers — container ships transporting oil — were common. Between 70 and 100 spills occurred per year. That’s one or two spills every week.

This number has fallen by more than 90% since then. In the last decade, no year has had more than ten oil spills, as shown in the chart.

The quantity of oil spilled from tankers has also fallen dramatically. Over the last decade, the average is less than 10,000 tonnes per year, compared to over 300,000 tonnes in the 1970s.

Explore more charts on oil spills on our dedicated topic page.
Data update

Explore updated data on health, disease, and mortality around the world

What are the leading risk factors that can lead to premature death? You can see the top ones globally in the chart here.

What do people die from? How many people suffer from mental illness, or are living with HIV/AIDS?

The Global Burden of Disease (GBD) study aims to answer these and many other questions related to health, disease, and mortality. They provide estimates across hundreds of indicators for every country in the world over the last decades.

One of the largest efforts of its kind, the GBD study is published by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington.

I recently updated more than 500 of our charts with the latest release of the GBD study.

Explore all of the updated data in our interactive charts
Global deaths by risk factor in 2023

Horizontal bar chart of the estimated annual number of deaths attributed to each of the top risk factors, with a note that estimates come with wide uncertainties, especially for countries with poor vital registration.

Note: Risk factors are not mutually exclusive; the sum of deaths attributed to each risk factor can exceed the total number of deaths. Data source: IHME, Global Burden of Disease (2025). License: CC BY.

Data Insight

Changes in forest area by world region since 1990. A world map overlaid with vertical bars and point markers showing forest area in 1990 and in 2025 for each region. Key values and trends: North and Central America 7.7 to 7.8 million km², slight increase; South America 10.3 to 8.5 million km², decrease of about 1.8 million km²; Europe 10.0 to 10.4 million km², increase; Africa 7.8 to 6.6 million km², decrease; Western, Central, and East Asia 2.6 to 3.4 million km², increase; South and Southeast Asia 3.2 to 2.9 million km², decline; Oceania 1.8 to 1.8 million km², no change. Data source: Food and Agriculture Organization of the United Nations, Global Forest Resources Assessment (2025). License: CC BY.

Deforestation is no longer inevitable

In the past, forests around the world were cut down on a massive scale. We lost some of the world’s richest ecosystems.

In recent decades, the picture has become more complex. Deforestation has not ended, but it is no longer happening everywhere. Since 1990, some regions have continued to lose large areas of forest, while others have slowed this long-run trend — and even reversed it.

The map shows regional changes in forest area based on the latest data from the Food and Agriculture Organization of the United Nations.

Deforestation has been particularly large in South America and Africa. At the same time, the forested area has expanded in Europe, North and Central America, and large parts of Asia.

These gains show that deforestation is not inevitable. When pressure on land falls, forests can return.

I previously wrote about why deforestation is happening, and what we can do to bring the long history of deforestation to an end.
Website upgrade

It’s now easier to see which countries make up world regions, such as “East Asia and Pacific”, in different datasets

Many of our charts, like the one below, show data grouped by world regions — such as “East Asia and Pacific” and “Europe and Central Asia”.

But different data providers that we rely on, such as the World Bank and World Health Organization (WHO), use different regions, or define regions with the same name in different ways.

We have a page that defines these world regions, but I recently made it even easier to discover these definitions directly in our interactive charts.

Look for the small “i” info icon next to the name of a world region, like you see in the chart here showing data from the World Bank.

If you hover the info icon, you’ll see a short description and interactive world map showing which countries belong to each region.

Try it out for yourself
An image showing how to view which countries belong to different regions defined by data providers, such as "East Asia and Pacific" and "Europe and Central Asia"