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Daily Data Insights

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

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The graphic presents a line chart illustrating the shift in birth rates among older mothers in Europe. The title at the top states, "Births have shifted to older mothers in Europe," and the subtitle notes that it depicts the estimated share of total births by the age of the mother.

The vertical axis is labeled with percentages from 0% to 70%, while the horizontal axis covers years from 1950 to 2023. There are four lines representing different age groups: 

- Women aged 20-29, shown in a light gray line, which hovers around 30% in the early years and gradually declines over time.
- Women aged 30-39, depicted in a prominent brown line that crosses above 50% since 2015, indicating they became the age group with the most births.
- Women aged 40-49, represented by a light gray line, which rises slightly in recent years.
- Women aged 10-19, also shown in light gray, with minimal levels of births throughout the time period.

Annotations highlight key points: in 2015, women in their 30s surpassed other age groups in births, and in the same year, women in their 40s began having more babies than those aged 10-19. 

At the bottom of the graphic, the data source is cited as "UN, World Population Prospects (2024)," along with a copyright indication "CC BY."

Most births in Europe are to mothers in their thirties

For many decades, most children in Europe were born to mothers in their twenties. However, since the mid-1970s, there has been a steady increase in the number of women giving birth in their thirties.

As the chart shows, since 2015, women in their thirties have given birth to the greatest number of babies; in the same year, it became more common for a woman in her forties to give birth than for women in their teens.

Many factors are causing these changes, including women spending more years in education and developing their careers, easily accessible contraception, improvements in fertility treatment, and high childcare costs.

Explore what age women are having children in your country

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This chart illustrates the percentage reduction in antimicrobial sales (tonnes of active ingredients) used for livestock in selected European countries between 2010 and 2022. The Netherlands achieved the largest reduction (-76%), followed by France (-75%), Italy (-70%), the United Kingdom (-60%), Spain (-43%), and Denmark (-32%). Data source: European Medicines Agency (2023). Note: Only a subset of European countries is highlighted for example purposes.

European countries use far less antibiotics in livestock than they used to

Antibiotics can play an important role in preventing disease and improving the health of animals. But overusing them, particularly for livestock, poses a risk to human health through antibiotic resistance.

Over the last decade, Europe has made much progress in reducing antibiotic use in farm animals. This has been achieved through stricter regulations and, in some countries, taxes on antibiotics.

The chart shows the change in sales of these antimicrobials for livestock between 2010 and 2022. It shows a range of European countries, with a few examples highlighted in bold.

Antibiotic use has fallen by over half in some countries, such as the UK, Italy, France, and the Netherlands.

These countries have still managed to maintain productive agricultural sectors by focusing on other ways to manage disease risk and animal growth, such as vaccinations, ventilation, cleaner equipment, and high-quality diets.

Read more about the differences in antibiotic use for livestock across the world →

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A line graph shows temperature variations for February from 1950 to 2025, with a focus on the changes due to climate phenomena. The y-axis represents temperature deviations in degrees Celsius, ranging from -1°C to 1°C. Different colored dots represent data from various years, categorized into phases: Strong La Niña (dark blue), La Niña (blue), Neutral (gray), El Niño (orange), and Strong El Niño (red). 

The text notes that February 2025, marked by a dark blue dot, is cooler than February 2024, indicated by an orange dot, as the La Niña phase has replaced El Niño. An explanatory note emphasizes that typically, months in a La Niña year are cooler than the same months in the preceding El Niño year. 

Data sources include modified information from the Copernicus Climate Change Service (2025) and the NOAA National Centers for Environmental Information (2025). The graph is licensed under CC BY.

February was cooler in 2025 than in 2024 — but the long-term trend is still warming

January 2025 was the hottest January on record. This was surprising because the world recently transitioned from El Niño (which tends to increase global temperatures) to La Niña (which tends to cool them). We might have expected this cooling to be reflected in January’s temperatures. It was not.

But February did not follow this same pattern.

The chart tracks monthly temperature anomalies, comparing current temperatures to historical averages. Each dot represents a February anomaly, with El Niño (warmer) years in orange and red and La Niña (cooler) years in blue.

As expected, February 2025 cooled compared to February 2024, following the usual pattern where La Niña years tend to be cooler than the El Niño years before them.

However, this doesn’t mean global warming has slowed. Recent La Niña years are still warmer than El Niño years from just a few decades ago, showing that even natural climate fluctuations don’t reverse the long-term warming trend.

We update this data monthly so you can track how these patterns evolve.

Read our recent article that explains in more detail how the world is warming despite natural fluctuations from the El Niño cycle

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A world map illustrates the differences in life expectancy between females and males at birth in 2023. Areas shaded in darker purple indicate a greater male life expectancy compared to females, while lighter shades represent regions with higher female life expectancy. Notable data points include Ukraine with a difference of 13.3 years, Russia at 11.8 years, Togo at 0.4 years, and Nigeria at 0.6 years. The data source is the Human Mortality Database (2024) and UN World Population Prospects (2024). The map is attributed with a CC BY license and published by Our World in Data.

Women live longer than men, but how much longer varies widely around the world

In every country in the world, women live longer than men — but the size of this gap in life expectancy varies widely.

The difference is striking in some countries, like Russia and Ukraine, where women’s life expectancy is over 10 years longer. Their gaps have been wide due to higher death rates in young and middle-aged men — often due to alcohol use, smoking, and other risks. The war in Ukraine has widened this gap further, as men face high mortality from conflict.

The gap is much smaller in other countries, including in West Africa and South Asia. There are likely multiple reasons for this, including higher rates of maternal mortality and HIV among women. Just a few decades ago, Bangladesh and India had shorter female than male life expectancies due to higher rates of female infanticide and neglect in childhood, and the gap in lifespans in these countries is still relatively small.

Many factors affect life expectancy, and the sex gap in lifespans has varied widely across countries and over time.

You can read more in my article about why women live longer than men

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This line chart shows the growth of global cereal production, yield, population, and land use for cereal production from 1961 to 2023, indexed to 1961. Cereal production increased by 250%, surpassing population growth, which rose by 164%. Cereal yield grew significantly, while land use for cereal production remained nearly constant. The chart highlights that higher yields, not expanded land use, drove most of the production increase. Data sources: UN FAO (2023), UN WPP (2024).

Global cereal production has grown much faster than population in the last half-century

The world's population has more than doubled over the last 60 years, but global food production has managed to keep up.

The chart shows the change in four indicators since 1961: cereal production, cereal yields, land use for cereals, and population. Each metric is expressed in its relative change since 1961 (which is given a value of zero).

Cereal production has increased by 3.5-fold, more than the 2.6-fold growth in population. That means production has grown faster than the population, and the world produces more cereal per person than 60 years ago.

We can also see what has driven this increase. You can grow more food by either increasing crop yields or using more land. While land use has increased, most of this growth has come from higher crop yields. This has spared some natural habitats from being converted into farmland.

Read more in my article on the Green Revolution and food production

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Scatterplot titled "Richer countries tend to have higher self-reported life satisfaction," showing life satisfaction (0-10 scale) against GDP per capita (log scale). Countries with higher GDP per capita, like Finland, Norway, and Qatar, report greater satisfaction (~7-8), while lower-GDP countries, such as Afghanistan and Burundi, report lower satisfaction (~2-4). Examples like Costa Rica and Honduras show moderate GDP and satisfaction. Data is from the World Happiness Report (2012-2024) and the World Bank (2025), with GDP adjusted for living cost differences.

People in richer countries tend to say they are more satisfied with their lives

Putting a number on “happiness” is hard. But one way to better understand how satisfied people are with their lives is to ask them.

Self-reported life satisfaction is one key metric that researchers rely on. Respondents are asked to rate their lives on a 10-step ladder, where 0 represents the worst possible life, and 10 is the best.

The chart shows self-reported life satisfaction measured against gross domestic product (GDP) per capita. The two are positively correlated: people in richer countries tend to be more satisfied with their lives.

Of course, income is not the only thing that matters. You can also see the large spread of values for countries with similar levels of GDP per capita. For example, South American countries tend to have higher happiness levels than those in other regions.

Explore more data on life satisfaction across countries, within countries, and over people’s lifespan

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Bar chart titled "Countries that have emitted the most CO2 emissions to date," showing each country's share of cumulative global emissions since 1750. The USA leads with 24%, followed by China (15%), Russia (6.7%), Germany (5.2%), and the UK (4.4%). Other notable countries include Japan (3.8%), France (2.2%), Canada (1.9%), and Ukraine (1.7%). Data reflects fossil fuel and industry emissions, excluding land use, sourced from the Global Carbon Budget (2024).

Which countries have contributed the most to historical CO₂ emissions?

When we emit carbon dioxide (CO2) into the atmosphere, most of it stays there for centuries or millennia. This means that CO2 emitted even a century ago has contributed to the rising temperatures we see today.

In other words, how much the climate warms depends on how much cumulative CO2 is emitted over time.

The chart shows the ten countries with the largest share of the world’s historical emissions, based on cumulative emissions from fossil fuels and industry since 1750.

The United States has contributed the most, accounting for almost one quarter. This is followed by China and Russia.

There are many other ways to understand contributions to climate change – explore data on annual, per capita, and trade-adjusted emissions

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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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