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<title>Our World in Data - Data Insights</title>
<subtitle>Bite-sized insights on how the world is changing, written by our team</subtitle>
<id>https://ourworldindata.org/data-insights/</id>
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<updated>2026-04-04T06:11:00.000Z</updated>
<entry>
            <title><![CDATA[China’s Great Leap Forward caused a dramatic spike in child deaths]]></title>
            <id>https://ourworldindata.org/data-insights/chinas-great-leap-forward-caused-a-dramatic-spike-in-child-deaths</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/chinas-great-leap-forward-caused-a-dramatic-spike-in-child-deaths"/>
            <published>2026-04-04T06:11:00.000Z</published>
            <updated>2026-04-04T10:14:05.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/5afac59e-9aa7-4bfb-bcc7-f359bf973f00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/5afac59e-9aa7-4bfb-bcc7-f359bf973f00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Child mortality rates in China have fallen from more than 20% in 1950 to less than 1% today.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">But this steady progress was interrupted in the late 1950s during the “</span><a href="https://simple.wikipedia.org/wiki/Great_Leap_Forward" class="span-link"><span class="">Great Leap Forward</span></a><span class="">”. This was China’s national plan to industrialize rapidly, but it resulted in widespread famine and economic turmoil.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This data comes from the </span><a href="https://population.un.org/wpp/" class="span-link"><span class="">UN’s World Population Prospects</span></a><span class="">.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/child-mortality-around-the-world?tab=line" class="span-link span-linked-chart"><span class="">Explore child mortality for all countries in our interactive chart.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Estimates suggest that 45% of abortions globally are unsafe — but this varies widely across regions]]></title>
            <id>https://ourworldindata.org/data-insights/estimates-suggest-that-45-of-abortions-globally-are-unsafe-but-this-varies-widely-across-regions</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/estimates-suggest-that-45-of-abortions-globally-are-unsafe-but-this-varies-widely-across-regions"/>
            <published>2026-04-02T00:00:00.000Z</published>
            <updated>2026-04-02T10:14:03.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/12e4c32c-4f1f-42a5-ae55-5bbb2c811800/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/12e4c32c-4f1f-42a5-ae55-5bbb2c811800/w=1350" alt="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. Region values from highest to lowest: Sub-Saharan Africa 77%, Latin America 76%, North Africa 71%, South Asia 58%, Global average 45%, Eastern Europe 14%, East Asia 11%, Western Europe 7%, Northern Europe 2%, North America 1%.

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 &quot;Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model.&quot; Published on OurWorldInData.org; chart licensed under CC-BY by the author Hannah Ritchie." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Around 4 in 10 women worldwide live in countries where </span><a href="https://reproductiverights.org/maps/world-abortion-laws/" class="span-link"><span class="">abortion is illegal</span></a><span class=""> or highly restricted. But these bans do not stop abortions completely; many women still get them, but in unsafe and unsanitary conditions.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">A </span><a href="https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2817%2931794-4/fulltext" class="span-link"><span class="">study published</span></a><span class=""> in </span><em><span class="">The Lancet</span></em><span class=""> 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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This data is around ten years old, but represents the latest estimates available (suggesting that this topic gets very little attention).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Unsafe abortions dramatically increase the health risks for women. Safe abortions have very low mortality rates, </span><a href="https://www.who.int/news-room/fact-sheets/detail/abortion" class="span-link"><span class="">typically below</span></a><span class=""> 1 death per 100,000 abortions.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In regions where the majority of abortions are unsafe, </span><a href="https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(17)31794-4/fulltext" class="span-link"><span class="">mortality rates</span></a><span class=""> can be several hundred times higher; in Western and Middle Africa, around 1 in 200 abortions result in the woman dying.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">It’s </span><a href="https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(24)00560-6/fulltext" class="span-link"><span class="">estimated that</span></a><span class=""> approximately 8% of maternal deaths in the world are caused by unsafe abortions. That’s 23,000 women every year.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/the-human-cost-of-unsafe-abortions" class="span-link"><span class="">Read more about the human cost of unsafe abortions in my recent article.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Mental health care is scarce everywhere — but in poor countries, it barely exists]]></title>
            <id>https://ourworldindata.org/data-insights/mental-health-care-is-scarce-everywhere-but-in-poor-countries-it-barely-exists</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/mental-health-care-is-scarce-everywhere-but-in-poor-countries-it-barely-exists"/>
            <published>2026-03-31T00:00:00.000Z</published>
            <updated>2026-03-31T09:41:28.000Z</updated>
            <author><name>Max Roser</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/418546ff-79c4-49e2-0b5b-afee07627b00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/418546ff-79c4-49e2-0b5b-afee07627b00/w=1350" alt="Bar chart of median government mental health expenditure per person per year by country income group, where high-income countries spend about $66 per person and low-income countries spend about $0.04. The chart highlights a large disparity in spending between high-income and lower-income countries. The data source is the WHO Mental Health Atlas (2024). The chart is licensed CC BY to Our World in Data." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><a href="https://ourworldindata.org/grapher/depressive-disorders-prevalence-ihme" class="span-link span-linked-chart"><span class="">Depression</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">, </span><a href="https://ourworldindata.org/grapher/anxiety-disorders-prevalence" class="span-link span-linked-chart"><span class="">anxiety</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">, and other mental health problems are common everywhere. They are not confined to any particular income level.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This gap in spending reflects a gap in people. As the WHO’s latest </span><a href="https://www.who.int/publications/i/item/9789240114487" class="span-link"><span class="">Mental Health Atlas</span></a><span class=""> highlights, there is roughly one psychiatrist per million people in low-income countries. High-income countries have 70 times more.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">A </span><a href="https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(24)00317-1/fulltext" class="span-link"><span class="">recent study</span></a><span class=""> 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%.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Hundreds of millions of people in poorer countries live with treatable conditions and have </span><a href="https://ourworldindata.org/grapher/psychiatrists-working-in-the-mental-health-sector" class="span-link span-linked-chart"><span class="">no access</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> to a psychologist or psychiatrist. It is one of the largest gaps in global health — and one that receives remarkably little attention or funding.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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 </span><a href="https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(16)31589-6/fulltext" class="span-link"><span class="">India</span></a><span class=""> and </span><a href="https://jamanetwork.com/journals/jama/fullarticle/2594719" class="span-link"><span class="">Zimbabwe</span></a><span class=""> have shown this can be effective for depression.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/mental-health" class="span-link"><span class="">Read more on our page on mental health.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[The world gets more seafood from aquaculture than wild catch]]></title>
            <id>https://ourworldindata.org/data-insights/the-world-gets-more-seafood-from-aquaculture-than-wild-catch</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-world-gets-more-seafood-from-aquaculture-than-wild-catch"/>
            <published>2026-03-28T06:48:00.000Z</published>
            <updated>2026-03-28T06:48:05.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/69a6c12c-d4be-495c-fac8-4d55c2941300/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/69a6c12c-d4be-495c-fac8-4d55c2941300/w=1350" alt="Line chart of global seafood production from 1960 to 2022 comparing aquaculture and capture fisheries where aquaculture rises from near zero in the 1960s, accelerates from the 1990s, and overtakes capture fisheries around 2010. Capture fisheries grow earlier then level off, while aquaculture becomes the larger source of seafood by 2022. The data source is the Food and Agriculture Organization of the United Nations via the World Bank (2026). The chart is licensed CC BY to Our World in Data." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">There are two ways to produce seafood: catch fish in the wild or farm your own. Seafood farming is often called “aquaculture”. Aquaculture is dominated by the farming of </span><em><span class="">fish</span></em><span class="">, but also includes other organisms, such as crustaceans and aquatic plants.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Aquaculture has grown rapidly over the last few decades. In fact, as the chart shows, it has overtaken wild catch since 2013.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This has relieved some pressure on wild fish stocks: if this increased demand for fish had been satisfied by wild catch, then many more would be severely overexploited.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/rise-of-aquaculture" class="span-link"><span class="">Read more in our article on the rise of aquaculture.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Outside rich countries, widespread informal work means unemployment rates are low]]></title>
            <id>https://ourworldindata.org/data-insights/outside-rich-countries-widespread-informal-work-means-unemployment-rates-are-low</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/outside-rich-countries-widespread-informal-work-means-unemployment-rates-are-low"/>
            <published>2026-03-26T00:00:00.000Z</published>
            <updated>2026-03-23T07:30:27.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/21b84ec5-4100-427f-de6c-278625705f00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/21b84ec5-4100-427f-de6c-278625705f00/w=1350" alt="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%." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Last year, three-quarters of the world’s countries had unemployment rates below 10%, </span><a href="https://ourworldindata.org/grapher/unemployment-rate?tab=map" class="span-link span-linked-chart"><span class="">according to data</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> from the International Labour Organization. Colombia, where I come from, is in that group.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This chart offers an explanation. It shows, for a selection of countries of different income levels, what share of workers hold </span><em><span class="">informal</span></em><span class=""> jobs, meaning work that lacks social protection and basic employment rights (no guaranteed benefits, no formal safety net).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">As the chart shows, in Colombia, that share is almost 57%. In many lower-income countries, the share is far higher.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The reality is that low unemployment and widespread informal work can, and often do, happen at the same time. The reason this isn&#x27;t paradoxical comes down to how these statistics are defined.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/work-employment#informal-work" class="span-link"><span class="">Read more about informal work and unemployment in our new Work &amp; Employment topic page.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Coal power has effectively died in the United Kingdom]]></title>
            <id>https://ourworldindata.org/data-insights/coal-power-has-effectively-died-in-the-united-kingdom</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/coal-power-has-effectively-died-in-the-united-kingdom"/>
            <published>2026-03-24T07:17:00.000Z</published>
            <updated>2026-03-24T07:17:29.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/604ddc97-91a9-4daa-9a04-c59250233c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/604ddc97-91a9-4daa-9a04-c59250233c00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The United Kingdom was the birthplace of coal. It has now, effectively, died there.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The use of coal has plummeted in my lifetime. It now makes up around 0.1% of the UK’s electricity.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Coal was first </span><a href="https://ourworldindata.org/grapher/electricity-mix-uk" class="span-link span-linked-chart"><span class="">replaced by gas</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">, but is now being pushed out by wind, solar, and biomass.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/death-uk-coal" class="span-link"><span class="">Explore more charts on the death of British coal.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Until fifty years ago, Argentina was richer than Spain]]></title>
            <id>https://ourworldindata.org/data-insights/until-fifty-years-ago-argentina-was-richer-than-spain</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/until-fifty-years-ago-argentina-was-richer-than-spain"/>
            <published>2026-03-21T00:00:00.000Z</published>
            <updated>2026-03-16T15:05:16.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b4d841e0-4ff0-4f7e-b7b2-a58291a3ca00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b4d841e0-4ff0-4f7e-b7b2-a58291a3ca00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In a </span><a href="https://ourworldindata.org/data-insights/argentina-was-one-of-the-richest-countries-in-the-world-at-the-beginning-of-the-20th-century" class="span-link"><span class="">recent Data Insight</span></a><span class="">, 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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The chart shows GDP per capita for Argentina and Spain over the last two centuries. These are historical estimates from the </span><a href="https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2023" class="span-link"><span class="">Maddison Project</span></a><span class="">, and the data is adjusted for inflation and differences in the cost of living.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?tab=line&amp;time=1820..2022&amp;country=ARG~ESP" class="span-link span-linked-chart"><span class="">Explore long-run GDP data for all countries in our interactive chart.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[In the 1980s, youth literacy was higher in Sub-Saharan Africa than in South Asia; it’s now the opposite]]></title>
            <id>https://ourworldindata.org/data-insights/in-the-1980s-youth-literacy-was-higher-in-sub-saharan-africa-than-in-south-asia-its-now-the-opposite</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/in-the-1980s-youth-literacy-was-higher-in-sub-saharan-africa-than-in-south-asia-its-now-the-opposite"/>
            <published>2026-03-19T00:00:00.000Z</published>
            <updated>2026-03-16T07:58:43.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/419f2f5c-dbed-4318-8b75-31c64c43d300/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/419f2f5c-dbed-4318-8b75-31c64c43d300/w=1350" alt="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)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">But things have changed a lot since then. Sub-Saharan Africa now </span><em><span class="">lags</span></em><span class=""> by more than 14 percentage points.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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, </span><em><span class="">most</span></em><span class=""> of them do, but there is still a significant lag behind other world regions.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In South Asia, the increase in literacy rates </span><a href="https://ourworldindata.org/grapher/literacy?tab=line&amp;time=1985..2023&amp;country=WB_SSA~WB_SA&amp;age_group=youth&amp;sex=female" class="span-link span-linked-chart"><span class="">among young women</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> has been particularly dramatic. In the mid-1980s, only around 40% had basic reading skills. That has more than doubled to over 90%, and </span><a href="https://ourworldindata.org/grapher/literacy?time=1985..2023&amp;country=~WB_SA&amp;age_group=youth&amp;sex=sex_side_by_side" class="span-link span-linked-chart"><span class="">the gap between</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> young men and women has essentially closed.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/global-education" class="span-link"><span class="">Explore how other educational and literacy measures compare across countries, age groups, and gender in our work on global education.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Argentina was one of the richest countries in the world at the beginning of the 20th century]]></title>
            <id>https://ourworldindata.org/data-insights/argentina-was-one-of-the-richest-countries-in-the-world-at-the-beginning-of-the-20th-century</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/argentina-was-one-of-the-richest-countries-in-the-world-at-the-beginning-of-the-20th-century"/>
            <published>2026-03-17T00:00:00.000Z</published>
            <updated>2026-03-16T15:05:23.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/648edc32-0b47-44b3-29ac-ad2c463b5c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/648edc32-0b47-44b3-29ac-ad2c463b5c00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">When I first visited Buenos Aires some years ago, I was struck by how grand the city&#x27;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 </span><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?tab=line&amp;time=1900..2022&amp;country=ARG~COL~FRA" class="span-link span-linked-chart"><span class="">more similar</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> to my home country of Colombia than to France.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">By this measure, Argentina was among the world’s richest countries in 1910, ahead of several Western European countries, including </span><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?tab=discrete-bar&amp;time=1910&amp;country=ARG~DEU~FRA" class="span-link span-linked-chart"><span class="">Germany and France</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">. It also stood </span><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?time=1910&amp;globe=1&amp;globeRotation=-15.05%2C-63.24&amp;globeZoom=1.58" class="span-link span-linked-chart"><span class="">clearly ahead</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> of its peers in Latin America at the time.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">But over the course of the 20th century, Western European economies grew far faster, especially after the Second World War, and </span><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?tab=line&amp;time=1880..latest&amp;country=Western+Europe+%28Maddison%29~ARG" class="span-link span-linked-chart"><span class="">Argentina fell behind</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">A long-run perspective like this shows how much of a difference economic growth can make within just a few generations.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?tab=line&amp;time=1900..2022" class="span-link span-linked-chart"><span class="">Explore long-run data on GDP per capita for all countries.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[The median age in China has rapidly caught up with the United Kingdom]]></title>
            <id>https://ourworldindata.org/data-insights/the-median-age-in-china-has-rapidly-caught-up-with-the-united-kingdom</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-median-age-in-china-has-rapidly-caught-up-with-the-united-kingdom"/>
            <published>2026-03-14T00:00:00.000Z</published>
            <updated>2026-03-09T11:15:51.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/7898eb17-3790-4481-57ac-d609f6cf0e00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/7898eb17-3790-4481-57ac-d609f6cf0e00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Within just a few generations, that age gap has closed.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the 1950s and early 1960s, China’s median age fell partly because of a fall in </span><a href="https://ourworldindata.org/grapher/child-mortality?country=~CHN" class="span-link span-linked-chart"><span class="">child mortality</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">: birth rates remained high, and more children survived.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">After that, the rapid increase is largely explained by a steep </span><a href="https://ourworldindata.org/data-insights/chinas-fertility-rate-has-fallen-to-one-continuing-a-long-decline-that-began-before-and-continued-after-the-one-child-policy" class="span-link"><span class="">fall in fertility</span></a><span class="">, and therefore in </span><a href="https://ourworldindata.org/grapher/number-of-births-per-year?time=earliest..2023&amp;country=~CHN" class="span-link span-linked-chart"><span class="">births</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">. 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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">China’s median age is expected to continue rising quickly: under the UN’s medium projections, it will be </span><a href="https://ourworldindata.org/grapher/median-age?time=earliest..2050&amp;country=CHN~GBR" class="span-link span-linked-chart"><span class="">10 years older</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> than the UK&#x27;s by 2050.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/age-structure" class="span-link"><span class="">Explore more data on how the age structure of populations is changing across the world.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Smoking has already killed far more people this century than in the entire 20th century]]></title>
            <id>https://ourworldindata.org/data-insights/smoking-has-already-killed-far-more-people-this-century-than-in-the-entire-20th-century</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/smoking-has-already-killed-far-more-people-this-century-than-in-the-entire-20th-century"/>
            <published>2026-03-12T00:00:00.000Z</published>
            <updated>2026-03-09T11:15:41.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/46b403fe-ac44-4263-a341-97e8f1e2a100/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/46b403fe-ac44-4263-a341-97e8f1e2a100/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Throughout the entire 20th century, about </span><a href="https://www.nature.com/articles/nrc2703" class="span-link"><span class="">100 million people</span></a><span class=""> 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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Between 2000 and 2023 alone, smoking-related deaths </span><a href="https://ourworldindata.org/grapher/number-of-deaths-by-risk-factor" class="span-link span-linked-chart"><span class="">are estimated</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> at 163 million. You can see this comparison in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Some </span><a href="https://www.nejm.org/doi/10.1056/NEJMra1308383" class="span-link"><span class="">epidemiologists project</span></a><span class=""> that unless there is a substantial change in smoking uptake and rates across the world, there could be as many as one </span><em><span class="">billion</span></em><span class=""> smoking-related deaths in the 21st century.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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 </span><em><span class="">and</span></em><span class=""> prevent them from starting matters for keeping this huge figure in the millions, not billions.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/vaping-vs-smoking-health-risks" class="span-link"><span class="">People often ask whether vaping is safer than smoking. I tackled this question in a recent article — the short answer is “yes”.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[The world has made huge progress in reducing extreme poverty; could this be coming to an end?]]></title>
            <id>https://ourworldindata.org/data-insights/the-world-has-made-huge-progress-in-reducing-extreme-poverty-could-this-be-coming-to-an-end</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-world-has-made-huge-progress-in-reducing-extreme-poverty-could-this-be-coming-to-an-end"/>
            <published>2026-03-10T00:00:00.000Z</published>
            <updated>2026-03-09T11:15:35.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/82d47ac2-dcb6-411c-afda-b3288fb73c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/82d47ac2-dcb6-411c-afda-b3288fb73c00/w=1350" alt="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 &amp; 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 &amp; 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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the two decades that followed, this number more than halved. You can see this decline in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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 </span><a href="https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty?tab=line&amp;country=~WB_SSA&amp;mapSelect=~WB_SSA" class="span-link span-linked-chart"><em><span class="">share</span></em><span class=""> living in extreme poverty</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> declined, the total number increased.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/end-progress-extreme-poverty" class="span-link"><span class="">Read my colleague Max Roser’s article, “The end of progress against extreme poverty?”, which goes into this question in much more detail.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[In 2025, solar and wind produced more electricity than fossil fuels in the European Union]]></title>
            <id>https://ourworldindata.org/data-insights/in-2025-solar-and-wind-produced-more-electricity-than-fossil-fuels-in-the-european-union</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/in-2025-solar-and-wind-produced-more-electricity-than-fossil-fuels-in-the-european-union"/>
            <published>2026-03-07T00:00:00.000Z</published>
            <updated>2026-03-02T08:08:02.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Rosado</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ed8e1e9c-3d33-4951-0840-bfa427831900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ed8e1e9c-3d33-4951-0840-bfa427831900/w=1350" alt="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)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Just a decade ago, almost three times as much electricity in the European Union was coming from fossil fuels as from solar and wind.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">You can see this rise of solar and wind — and fossil fuels’ decline — in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This record happened despite a poor year for wind output </span><a href="https://ember-energy.org/latest-insights/european-electricity-review-2026/" class="span-link"><span class="">due to low wind speeds</span></a><span class=""> and a slight increase in gas to compensate for lower hydropower output from dry conditions.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/electricity-prod-source-stacked?country=~EU+%28Ember%29" class="span-link span-linked-chart"><span class="">Explore more data for specific European countries based on the latest update from Ember.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Women in Spain, Italy, and Portugal marry on average six years later than just two decades ago]]></title>
            <id>https://ourworldindata.org/data-insights/women-in-spain-italy-and-portugal-marry-on-average-six-years-later-than-just-two-decades-ago</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/women-in-spain-italy-and-portugal-marry-on-average-six-years-later-than-just-two-decades-ago"/>
            <published>2026-03-05T00:00:00.000Z</published>
            <updated>2026-03-02T08:07:36.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4bd3ba15-d3b6-41a9-dcbf-4b6997a81d00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4bd3ba15-d3b6-41a9-dcbf-4b6997a81d00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Changes in the timing of marriage have come together with other related shifts. For instance, a growing share of people are </span><a href="https://ourworldindata.org/marriages-and-divorces#marriages-are-becoming-less-common" class="span-link"><span class="">not marrying at all</span></a><span class="">.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/marriages-and-divorces#marriages-are-becoming-less-common" class="span-link"><span class="">Read more about marriages and explore the data for other countries.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[A record number of objects went into space in 2025]]></title>
            <id>https://ourworldindata.org/data-insights/a-record-number-of-objects-went-into-space-in-2023</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/a-record-number-of-objects-went-into-space-in-2023"/>
            <published>2026-03-03T07:39:00.000Z</published>
            <updated>2026-03-03T10:30:10.000Z</updated>
            <author><name>Edouard Mathieu</name></author><author><name>Pablo Rosado</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/9a0fddb9-354c-463b-61e3-8d07ceed9700/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/9a0fddb9-354c-463b-61e3-8d07ceed9700/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">4,510 objects were launched into space in 2025, surpassing the previous peak of 2,903 objects in 2023 by a large margin.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The data shows that US agencies and companies were responsible for launching 3,708 of these objects — 82% of the global total.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The rapid growth of satellite constellations makes it possible to expand Internet connectivity, but it also increases concerns regarding </span><a href="https://ourworldindata.org/grapher/low-earth-orbits-objects" class="span-link span-linked-chart"><span class="">space debris</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> and the congestion of Earth’s orbital environment.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/yearly-number-of-objects-launched-into-outer-space" class="span-link span-linked-chart"><span class="">Explore our interactive chart of objects launched into space.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Oil spills from tankers have fallen by more than 90% since the 1970s]]></title>
            <id>https://ourworldindata.org/data-insights/oil-spills-from-tankers-have-fallen-by-more-than-90-since-the-1970s</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/oil-spills-from-tankers-have-fallen-by-more-than-90-since-the-1970s"/>
            <published>2026-02-28T07:57:00.000Z</published>
            <updated>2026-02-28T07:57:45.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/58ddbaf2-8db7-4f0e-f968-ed28d33d1900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/58ddbaf2-8db7-4f0e-f968-ed28d33d1900/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The </span><em><span class="">quantity</span></em><span class=""> of oil spilled from tankers </span><a href="https://ourworldindata.org/grapher/quantity-oil-spills" class="span-link span-linked-chart"><span class="">has also fallen dramatically</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">. Over the last decade, the average is </span><a href="https://ourworldindata.org/grapher/quantity-oil-spills-decadal-average" class="span-link span-linked-chart"><span class="">less than 10,000 tonnes per year</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">, compared to over 300,000 tonnes in the 1970s.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/oil-spills" class="span-link"><span class="">Explore more charts on oil spills on our dedicated topic page.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Deforestation is no longer inevitable]]></title>
            <id>https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable"/>
            <published>2026-02-26T00:00:00.000Z</published>
            <updated>2026-02-26T10:41:06.000Z</updated>
            <author><name>Max Roser</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/6bdd71cd-635d-4d63-04a9-728db7336e00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/6bdd71cd-635d-4d63-04a9-728db7336e00/w=1350" alt="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." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the past, forests around the world were cut down </span><a href="https://ourworldindata.org/world-lost-one-third-forests" class="span-link"><span class="">on a massive scale</span></a><span class="">. We lost some of the world’s richest ecosystems.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The map shows regional changes in forest area based on the latest data from the Food and Agriculture Organization of the United Nations.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">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.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">These gains show that deforestation is not inevitable. When pressure on land falls, forests can return.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/global-forest-transition" class="span-link"><span class="">I previously wrote about why deforestation is happening, and what we can do to bring the long history of deforestation to an end.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Almost 40 countries have legalized same-sex marriage]]></title>
            <id>https://ourworldindata.org/data-insights/more-than-30-countries-have-legalized-same-sex-marriage</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/more-than-30-countries-have-legalized-same-sex-marriage"/>
            <published>2026-02-24T06:39:00.000Z</published>
            <updated>2026-02-24T06:39:49.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/1581a413-ad82-4705-154f-f69051063500/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/1581a413-ad82-4705-154f-f69051063500/w=1350" alt="Same-sex marriage is legal in 39 countries

Line chart showing the cumulative number of countries legalizing same-sex marriage from 2000 to 2025, with the y-axis from 0 to 40 countries and the x-axis from 2000 to 2025. The line rises from near zero in 2000 to 39 by June 2025. Annotations note: Netherlands was the first country to legalize same-sex marriage in 2001; South Africa has been the only African country to do so since 2006; Argentina was the first Latin American country in 2010; and Thailand became the first country in Southeast Asia in 2025. Caption says data are as of June 2025 from government sources and news articles. Data source in the footer: Pew Research Center (2025); website OurWorldinData.org/lgbt-rights; licensed CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The Netherlands was the first country to legalize same-sex marriage in 2001. Since then, almost 40 other countries have followed suit.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">You can see this in the chart, based on </span><a href="https://www.pewresearch.org/religion/fact-sheet/gay-marriage-around-the-world/" class="span-link"><span class="">data from Pew Research</span></a><span class="">. By 2025, same-sex marriage was legal in 39 countries.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Last year, two countries were added to the total. Thailand became the first country in Southeast Asia to legalize same-sex marriage, and a same-sex marriage bill also took effect in Liechtenstein.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/lgbt-rights" class="span-link"><span class="">Explore all our writing and data on LGBT+ rights.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Was the global decline of extreme poverty only due to China?]]></title>
            <id>https://ourworldindata.org/data-insights/was-the-global-decline-of-extreme-poverty-only-due-to-china</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/was-the-global-decline-of-extreme-poverty-only-due-to-china"/>
            <published>2026-02-21T07:19:00.000Z</published>
            <updated>2026-02-21T07:19:17.000Z</updated>
            <author><name>Max Roser</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/57da3033-0583-45a2-cca7-b051af327400/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/57da3033-0583-45a2-cca7-b051af327400/w=1350" alt="Extreme poverty fell sharply worldwide – even excluding China.

Line chart of global extreme poverty rate, 1990 to 2025. Extreme poverty is defined as living below the international poverty line of $3 per day; data are adjusted for inflation and differences in living costs between countries. The chart shows global extreme poverty reduced from 43% to 10%, and the series excluding China reduced from 33% to 12%, with the two lines converging by around the mid-2000s and continuing to decline toward 2025. Y axis runs from 0% to 50%; x axis runs from 1990 to 2025. Data source: World Bank Poverty and Inequality Platform (2025); OurWorldInData.org/poverty. License: CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The share of the world population living in extreme poverty has never declined </span><a href="https://ourworldindata.org/grapher/distribution-of-population-between-different-poverty-thresholds-historical" class="span-link span-linked-chart"><span class="">as rapidly</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> as in the past three decades.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The decline in China was particularly fast, and given that </span><a href="https://ourworldindata.org/explorers/population-and-demography?facet=none&amp;country=CHN~OWID_WRL&amp;Metric=Population&amp;Sex=Both+sexes&amp;Age+group=Total&amp;Projection+Scenario=None" class="span-link span-linked-chart"><span class="">one in six people</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> in the world lives there, we’re often asked whether the decline in global poverty was only due to the decline in China.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The chart shows the data that answers this question. In blue, we see the global decline. In red, we see the decline if we exclude China from the data. In the world outside of China, 33% lived in extreme poverty in 1990; by 2025, this share was down to 12%.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The large economic growth that lifted </span><a href="https://ourworldindata.org/explorers/poverty-explorer?tab=chart&amp;facet=none&amp;Indicator=Number+in+poverty&amp;Poverty+line=%242.15+per+day%3A+International+Poverty+Line&amp;Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&amp;Show+breaks+between+less+comparable+surveys=false&amp;country=~CHN" class="span-link span-linked-chart"><span class="">940 million Chinese people</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> out of extreme poverty since 1990 was a major contributor to the global decline in poverty. But the non-Chinese world also achieved a very large reduction.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">It is not true that the global decline in poverty was only due to China. Extreme poverty has declined in China </span><em><span class="">and</span></em><span class=""> the rest of the world.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/end-progress-extreme-poverty" class="span-link"><span class="">In the last three decades, the world has made progress against extreme poverty faster than ever before. But as we explain in a recent article, unless the poorest economies start growing, this period of progress against the worst form of poverty is over.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[In Japan, there are approximately two deaths for every birth]]></title>
            <id>https://ourworldindata.org/data-insights/in-japan-there-are-approximately-two-deaths-for-every-birth</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/in-japan-there-are-approximately-two-deaths-for-every-birth"/>
            <published>2026-02-19T00:00:00.000Z</published>
            <updated>2026-02-08T17:49:54.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f3c12f7b-ca4f-4c36-107d-dbcca5e7e800/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f3c12f7b-ca4f-4c36-107d-dbcca5e7e800/w=1350" alt="In Japan, the number of deaths each year is around twice the number of births

Line chart of annual births and deaths in Japan from 1950 to 2023. Births fall from about 2.4 million in 1950, with a peak near the early 1970s around 2.1 million, then decline steadily to about 750,000 births in 2023. Deaths start near 900,000 in 1950, remain below births through the late 20th century, then rise steadily from the 1990s and cross above births around 2008 to 2010, reaching 1.52 million deaths in 2023. Y-axis labeled in increments from 0 up to 2.5 million. Data source: UN, World Population Prospects (2024). Licensed CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Forty years ago in Japan, two babies were born for every person who died. Twenty years ago, these numbers were equal. And today, the ratio has reversed: </span><em><span class="">one</span></em><span class=""> baby is born for every </span><em><span class="">two</span></em><span class=""> people who die.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the chart, you can see this change in the number of births and deaths over time.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Since deaths now greatly outnumber births, and because immigration is low, Japan’s population </span><a href="https://ourworldindata.org/grapher/population-with-un-projections?country=~JPN" class="span-link span-linked-chart"><span class="">has started to shrink</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/natural-population-growth?tab=map&amp;time=2023" class="span-link span-linked-chart"><span class="">See which other countries now have more people dying than being born.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
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