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Daily Data Insights

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

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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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Line chart showing cereal yields from 1961 to 2022, measured in tonnes per hectare. Maize, rice, wheat, and barley yields have significantly increased, with maize reaching about 6 t/ha and rice around 5 t/ha by 2022. In contrast, millet and sorghum yields have remained relatively stagnant at around 1 t/ha. Data source: Food and Agriculture Division of the United Nations, via Our World in Data.

Global cereal yields have increased a lot, but millet and sorghum lag behind

Global average yields of cereal crops have tripled over the past 60 years. This has been crucial to feeding a growing population while sparing natural habitat from expanding agricultural land.

However, some cereal crops have seen much larger gains in efficiency. Maize (corn) and rice achieve the highest yields and have seen huge gains in recent decades. Wheat and barley have also performed well.

As the chart shows, crops like sorghum and millet have lagged behind. A hectare of land could yield 5 to 6 tonnes of corn or rice but only 1 to 1.5 tonnes of millet and sorghum.

It’s not just that yields for these crops are much lower today; growth over the past 60 years has been much more modest, increasing by less than 50%.

This is a huge challenge since these are key staple crops across much of Sub-Saharan Africa, where hunger rates are the highest and farmer incomes are the lowest.

Read more in my article on increasing yields in Sub-Saharan Africa →

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A set of four line graphs showing government health expenditure as a percentage of GDP from 1990 to 2021 for Japan, Germany, United Kingdom, and United States. Japan increased from 4.5% to 9.3%, Germany from 6.1% to 11%, the UK from 4.3% to 9.9%, and the US from 4.5% to 16%. Each country is represented by its national flag and name. All graphs show an upward trend, with the US showing the steepest increase, particularly in recent years. The source is cited as Our World In Data based on Lindert (1994), OECD (1993), with a note indicating the metric includes social as well as compulsory health insurance.

Health spending has been rising across rich countries with different systems

Government spending on health has grown substantially across rich nations since 1990, with particularly steep increases in the United States. The chart shows healthcare spending as a share of gross domestic product (GDP) in four countries.

Japan and the UK saw their share more than double, while it more than tripled in the United States, from 4.5% to 16% of GDP. The rising costs partly reflect demographic change, as older populations typically need more medical care, as well as the COVID-19 pandemic.

Each country organizes healthcare differently. Germany requires everyone to buy insurance from regulated providers, while Japan gives everyone government insurance. The United Kingdom provides healthcare directly through its national health service, while the US combines private insurance with government coverage for the elderly and those on low incomes.

Explore government health spending for more countries

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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

2.1.1 Prevalence of undernourishment - Value (Percent)

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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