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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://data-add-longrun-uk.owid.pages.dev/atom-data-insights.xml</id>
<link type="text/html" rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/latest?type=data-insight"/>
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<updated>2026-07-28T00:00:00.000Z</updated>
<entry>
            <title><![CDATA[Most of the world’s fastest-growing megacities will soon be in Africa]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/most-of-the-worlds-fastest-growing-megacities-will-soon-be-in-africa</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/most-of-the-worlds-fastest-growing-megacities-will-soon-be-in-africa"/>
            <published>2026-07-28T00:00:00.000Z</published>
            <updated>2026-07-27T06:31:08.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author><author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b6e57218-bb57-4d87-e4f4-d35342192600/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b6e57218-bb57-4d87-e4f4-d35342192600/w=1350" alt="Line chart of historical and projected population of major world cities from 1950 to 2100 where solid lines show past estimates and dashed lines show projections, illustrating rapid growth with several cities projected to reach 30 million to 50 million people. Source: European Commission, Joint Research Centre (JRC) (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="">Many cities across East Asia and Latin America have grown quickly over the last few decades. Since 1950, São Paulo’s population has grown sixfold. Shanghai’s nearly tenfold.</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 rapid growth is now ending. São Paulo is near its population peak, and Shanghai is projected to peak around 2050.</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 fastest-growing megacities are now emerging elsewhere. In the chart, you can see various examples: Karachi in South Asia, and Dar es Salaam, Addis Ababa, and Luanda in Africa.</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="">Luanda, the capital of Angola, is an interesting case. It gets much less attention than well-established megacities, but as the chart shows, it&#x27;s on track to overtake São Paulo in about 20 years and Shanghai in about 60.</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 this dataset from the European Commission&#x27;s Joint Research Centre, only 24 of today’s 100 largest cities are projected to still be growing by 2100; of those, 12 are in Africa, and 5 are in South 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="">Of course, these rely on projections — often many decades ahead — and those come with a lot of uncertainty. Nonetheless, they provide a useful perspective on what the future of cities across the world might look like.</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/population-of-the-worlds-largest-cities?time=earliest..2100&amp;country=Karachi%7ECairo%7EShanghai%7EAddis+Ababa%7EDar+es+Salaam%7ELuanda%7ESao+Paulo" class="span-link"><span class="">Explore the full data for other cities in our interactive chart</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[Three-quarters of eggs produced in the United Kingdom are free-range]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/three-quarters-of-eggs-produced-in-the-united-kingdom-are-free-range</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/three-quarters-of-eggs-produced-in-the-united-kingdom-are-free-range"/>
            <published>2026-07-25T00:00:00.000Z</published>
            <updated>2026-07-25T06:40:35.000Z</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/30ee76b1-e786-45b6-1c72-193b7e1f4f00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/30ee76b1-e786-45b6-1c72-193b7e1f4f00/w=1350" alt="Stacked area chart of shares of egg production in the United Kingdom by housing system (free-range, cages, barns) from 1996 to 2025 where free-range rises from 10% in 1996 to 75% in 2025, with cages declining and barns remaining a small share. Source: Defra (2023, 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="">Growing up in the United Kingdom in the 1990s and early 2000s, almost all the eggs in our supermarket came from battery hens, those raised in small wire enclosures.</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 living conditions in these cages </span><a href="https://ourworldindata.org/do-better-cages-or-cage-free-environments-really-improve-the-lives-of-hens" class="span-link"><span class="">are terrible</span></a><span class="">. Birds get the space equivalent of an A4 sheet of paper. They don’t have the room to carry out their natural behaviors, such as nesting, perching, or dust bathing.</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="">That has changed in recent decades. You can see this in the chart, which shows the conditions under which eggs are produced in the UK. Free-range eggs have increased from just 10% to 75%.</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 caged hens has fallen, and the types of caged enclosures have also changed. Battery cages were banned in 2012, so legally, all cages since then have been “enriched” ones, which provide slightly more space.</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="">Still, these do not give hens the freedom and room they’d have in barns or free-range farms. Studies </span><a href="https://welfarefootprint.org/research-projects/laying-hens/" class="span-link"><span class="">suggest that</span></a><span class=""> moving hens from enriched cages to cage-free systems reduces the time they spend in pain by more than 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="">And given that most eggs in the UK are now free-range, it’s possible to reduce this pain even further.</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/do-better-cages-or-cage-free-environments-really-improve-the-lives-of-hens" class="span-link"><span class="">Read Hannah’s article on what the conditions of hens look like under caged versus cage-free systems</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[Global population growth peaked six decades ago]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/global-population-growth-peaked-six-decades-ago</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/global-population-growth-peaked-six-decades-ago"/>
            <published>2026-07-23T07:38:00.000Z</published>
            <updated>2026-07-23T07:38:20.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</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/8ba3c775-976e-4e17-1789-96b6f34abb00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/8ba3c775-976e-4e17-1789-96b6f34abb00/w=1350" alt="Line chart of annual global population growth rate (percentage) where growth peaked at 2.3% in 1963, fell to less than 1% by 2020, and UN projections show rates declining toward zero and becoming negative by 2100, implying a shrinking global population. 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="">The increase in the world’s population is not exponential. The </span><a href="https://data-add-longrun-uk.owid.pages.dev/explorers/population-and-demography?indicator=Population&amp;Sex=Both+sexes&amp;Age=Total&amp;Projection+scenario=Medium&amp;country=~OWID_WRL" class="span-link span-linked-chart"><span class="">global population is growing</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 the growth rate has declined since its peak six decades ago.</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 annual rate of global population growth according to historical estimates and projections from the UN World Population Prospects.</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 growth rate peaked in 1963 at over 2% per year, and since then, it has more than halved, falling to less than 1% by 2020.</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 UN demographers expect rates to continue falling until the end of the century, eventually leading to negative growth rates and a shrinking global population.</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/population-simulation-tool" class="span-link"><span class="">Explore how these projections change with different assumptions in our new population simulation tool</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[Rich countries have ten times as many doctors per person as poor ones]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/rich-countries-have-ten-times-as-many-doctors-per-person-as-poor-ones</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/rich-countries-have-ten-times-as-many-doctors-per-person-as-poor-ones"/>
            <published>2026-07-21T07:11:00.000Z</published>
            <updated>2026-07-21T07:11:15.000Z</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/f10d1366-1051-4049-c2c9-d14d69873900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f10d1366-1051-4049-c2c9-d14d69873900/w=1350" alt="Horizontal bar chart of medical doctors per 1,000 people by country income group, where high-income countries have about 3.78 doctors per 1,000 and low-income countries about 0.38, showing roughly ten times more doctors in rich than poor countries. Data for 2022 from Global Health Workforce Statistics, WHO, via World Bank (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="">A person’s access to doctors depends heavily on the income level of the country they live in.</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="">High-income countries have around ten times as many doctors per person as low-income ones. You can see this in the chart, which shows the number of medical doctors per 1,000 people.</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 global average is around 1.9 doctors per 1,000. Low-income countries have around one-fifth of that figure.</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 figures include generalist physicians and specialists.</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/financing-healthcare" class="span-link"><span class="">Explore more data on healthcare spending and access</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[Nearly half of young children in Guatemala suffer from stunting]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/nearly-half-of-young-children-in-guatemala-suffer-from-stunting</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/nearly-half-of-young-children-in-guatemala-suffer-from-stunting"/>
            <published>2026-07-18T00:00:00.000Z</published>
            <updated>2026-07-13T07:28:40.000Z</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/aef174f4-a6c4-4e3b-3c5e-db73bb48a300/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/aef174f4-a6c4-4e3b-3c5e-db73bb48a300/w=1350" alt="Horizontal bar chart of the share of children younger than five years who are stunted across Central American and Caribbean countries, where Guatemala is highest at 46% and the other countries range from 6.7% to 22%. Source: World Health Organization - Global Health Observatory (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="">Chronic malnutrition in early childhood can slow development and growth, leaving children shorter than expected for their age. That’s the focus of the chart: the share of children under five who are stunted, meaning they are </span><a href="https://ourworldindata.org/stunting-definition" class="span-link"><span class="">much shorter</span></a><span class=""> than expected for healthy growth.</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 consequences of stunting persist beyond childhood, affecting both physical health and cognitive development.</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="">Guatemala has </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/share-of-children-younger-than-5-who-suffer-from-stunting" class="span-link span-linked-chart"><span class="">one of the highest</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=""> stunting rates in the world: almost half of children younger than five are stunted according to survey estimates published by the World Health Organization.</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="">Guatemala’s rate is the highest in its region, by far. In the chart, you can see it compared to a selection of other nearby countries – its rate is twice that of Haiti, the next-highest country and a </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/gdp-per-capita-worldbank?tab=line&amp;country=HTI~HND~NIC~GTM~SLV~CRI~DOM~MEX~PAN&amp;mapSelect=HTI~HND~NIC~GTM~BLZ~SLV~CRI~DOM~MEX~PAN&amp;globe=1&amp;globeRotation=19.02%2C-72.66&amp;globeZoom=2.5" class="span-link span-linked-chart"><span class="">much poorer</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=""> one.</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="">My colleagues Hannah Ritchie and Tuna Acisu recently wrote about what countries with high stunting today can learn from Japan. Over the 20th century, Japan reduced childhood stunting from over 70% to under 5%, and the decline from around Guatemala&#x27;s current level to under 5% took place within a generation.</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/childhood-stunting-fell-dramatically-over-the-20th-century" class="span-link"><span class="">Read their article, “Childhood stunting fell dramatically over the 20th century”</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[Fertility rates across many countries have converged, despite starting from very different levels]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/fertility-rates-across-many-countries-have-converged-despite-starting-from-very-different-levels</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/fertility-rates-across-many-countries-have-converged-despite-starting-from-very-different-levels"/>
            <published>2026-07-16T00:00:00.000Z</published>
            <updated>2026-07-16T14:32:58.000Z</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/12012671-6711-41a9-705b-0a0951714100/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/12012671-6711-41a9-705b-0a0951714100/w=1350" alt="Slopegraph of total fertility rates where the chart compares 1993 and 2023 values for selected countries to illustrate convergence in fertility. Most countries show 2023 rates around 1.6 to 1.7 births per woman, down from 1993 values ranging from 1.8 to 3.8 births per woman. Source: Human Fertility Database (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 thirty years since I was born, fertility rates in my country, the United Kingdom, have not changed much. In 1993, the fertility rate was 1.8 births per woman. Thirty years later, it had dropped only slightly, to 1.6 births.</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="">Elsewhere, the change has been much more dramatic; fertility rates have dropped sharply and are now similar to those in the UK.</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, which shows the change in fertility rates from 1993 (in blue) to 2023 (in red). In Qatar and Iran, rates dropped from almost 4 births per woman to 1.7.</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="">Fertility rates have fallen a lot across Asia and South America, too — Malaysia and Colombia are two examples (my colleague Esteban previously </span><a href="https://ourworldindata.org/data-insights/in-colombia-fertility-rates-have-fallen-sharply-in-recent-decades" class="span-link"><span class="">wrote about the latter</span></a><span class="">). This marks a much faster demographic transition than many countries experienced historically.</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="">Convergence isn’t the whole story, though. Here, I’ve picked countries with fertility rates that are similar to the UK’s today. But some have fallen far below these levels: </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/children-born-per-woman?facet=entity&amp;uniformYAxis=0&amp;country=CHL~THA" class="span-link span-linked-chart"><span class="">in Chile and Thailand</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="">, the fertility rate was 1.2 births per woman in 2023, and </span><a href="https://www.ft.com/content/315f7420-104a-40f5-ad2e-12520cb095ad?syn-25a6b1a6=1" class="span-link"><span class="">may have</span></a><span class=""> fallen even further.</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://data-add-longrun-uk.owid.pages.dev/grapher/children-born-per-woman" class="span-link span-linked-chart"><span class="">Explore fertility rates across the world and over time</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[Electric cars are taking off quickly in Latin America]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/electric-cars-are-taking-off-quickly-in-latin-america</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/electric-cars-are-taking-off-quickly-in-latin-america"/>
            <published>2026-07-14T00:00:00.000Z</published>
            <updated>2026-07-13T07:27:57.000Z</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/4fae650d-da05-42e3-6736-64b9611a5a00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4fae650d-da05-42e3-6736-64b9611a5a00/w=1350" alt="Line chart of the share of new cars sold that are electric from 2010 to 2025 where there is a sharp rise after 2020 — the United States shows earlier growth and countries like Colombia, Brazil, Mexico, and Chile catch up by 2025, with shares rising from nearly 0% to around 10% for the leading countries. Data source: International Energy Agency, Global EV Outlook 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="">Five years ago, almost no one in Latin America bought an electric car. Today, the situation is different: electric cars now make up a meaningful and fast-growing share of new car sales.</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 this trend across several of the region’s largest car markets, alongside the US for comparison.</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 tracks the share of new passenger cars sold that are electric, which includes both </span><span class="dod-span" data-id="battery_electric" tabindex="0"><span class="">fully battery-electric</span></span><span class=""> cars and </span><span class="dod-span" data-id="plugin_hybrid" tabindex="0"><span class="">plug-in hybrids</span></span><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="">In five years, Colombia went from nearly zero to 10%, catching up to the US.</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 other countries in the region, adoption took off a bit later, but is now rising fast too. Mexico, for example, went from 2% to 7% in a single year (2024–2025).</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="">An important part of this reflects </span><a href="https://www.iea.org/reports/global-ev-outlook-2026/trends-in-electric-cars" class="span-link"><span class="">policies</span></a><span class="">. Many Latin American countries, like Colombia, offer tax breaks and other incentives for buying electric cars.</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://data-add-longrun-uk.owid.pages.dev/grapher/electric-car-sales-share?facet=none&amp;country=COL~BRA~CHL~MEX~USA" class="span-link span-linked-chart"><span class="">Explore this data with 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[US and Chinese companies train almost all of the world’s most-used AI models]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/us-and-chinese-companies-train-almost-all-of-the-worlds-most-used-ai-models</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/us-and-chinese-companies-train-almost-all-of-the-worlds-most-used-ai-models"/>
            <published>2026-06-30T00:00:00.000Z</published>
            <updated>2026-06-29T05:16:50.000Z</updated>
            <author><name>Edouard Mathieu</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/8a752728-35b2-4ec5-7b3b-ef5be7af5100/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/8a752728-35b2-4ec5-7b3b-ef5be7af5100/w=1350" alt="Stacked bar chart of the top 50 AI models on OpenRouter by token count, broken down by country of origin from January 2025 to May 2026, where American companies still make up most of the top 50 while Chinese models grow from 5 models in early 2025 to 20 in May 2026. Source: OpenRouter (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="">Dozens of companies worldwide develop large AI models, but it can be difficult to get a sense of where the most-used ones tend to come from.</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="">OpenRouter is a large platform that allows users to interact with and write software on top of AI models through a single interface. It includes all the models from large companies like Google, OpenAI, Anthropic, Meta, DeepSeek, and Alibaba, as well as many, many others.</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 analyzed the data published by OpenRouter on the 50 most used models each day since January 2025 and calculated the average monthly presence by origin country of the models.</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 on the chart, US-based companies still account for most models in OpenRouter’s top 50. But their presence has declined, and China-based companies have grown rapidly, from 5 models in the daily top 50 at the beginning of 2025 to 20 in May 2026.</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="">Very few top-50 models come from companies outside the United States and China. Canada was represented early in 2025 by Cohere’s Command R models, while France remains represented by Mistral AI’s NeMo model.</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 technology that more people use every year is, so far, almost entirely the product of two countries.</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/latest?topics=Innovation+and+Technological+Change&amp;type=data-insight" class="span-link"><span class="">Read more Data Insights on innovation and technological change</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[Obesity rates in Pakistan have tripled in the last 20 years]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/obesity-rates-in-pakistan-have-tripled-in-the-last-20-years</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/obesity-rates-in-pakistan-have-tripled-in-the-last-20-years"/>
            <published>2026-06-27T00:00:00.000Z</published>
            <updated>2026-06-22T05:29:12.000Z</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/55694453-7f13-4363-d26b-bb499dedba00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/55694453-7f13-4363-d26b-bb499dedba00/w=1350" alt="Line chart of the estimated share of adults in Pakistan who are overweight (BMI ≥ 25) or obese (BMI ≥ 30) where both measures rise steeply from around 1980 to 2024, with overweight reaching about 59% and obesity about 24%. Source: WHO - Global Health Observatory (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="">In the 20th century, obesity was a health problem that </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/share-of-adults-who-are-overweight?time=earliest..1980" class="span-link span-linked-chart"><span class="">mostly affected</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=""> today’s rich countries. In the 21st century, it has emerged as a health challenge almost everywhere. Many low- and middle-income countries have seen rapid increases in the share of people defined as overweight or obese.</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 rise for Pakistan. In the last 20 years, the share of adults defined as overweight has more than doubled, and the share defined as obese has more than tripled. Now, almost 60% of adults are overweight, and one-quarter are obese.</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 are modeled estimates from the World Health Organization based on national surveys of height and weight. Body Mass Index (BMI) is a person’s weight in kilograms divided by the square of their height in meters. An adult is defined as overweight if their BMI is 25 or greater, and obese at 30 or greater.</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="">Pakistan’s own domestic surveys often report even higher figures; that’s because they have a lower BMI threshold for being overweight and obese, which reflects the fact that South Asian populations can </span><a href="https://www.sciencedirect.com/science/article/abs/pii/S0140673603152683" class="span-link"><span class="">have higher health risks</span></a><span class=""> at a lower level of BMI.</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="">Obesity is a health problem because it </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/number-of-deaths-by-risk-factor" class="span-link span-linked-chart"><span class="">increases the risk</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 developing a range of conditions, such as cardiovascular disease, strokes, diabetes, and various cancers.</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://data-add-longrun-uk.owid.pages.dev/grapher/share-of-adults-who-are-overweight" class="span-link span-linked-chart"><span class="">Explore how obesity rates have changed in your own country</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[Europeans consume more milk and dairy products than people in other regions]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/europeans-consume-more-milk-and-dairy-products-than-in-other-regions</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/europeans-consume-more-milk-and-dairy-products-than-in-other-regions"/>
            <published>2026-06-25T04:47:00.000Z</published>
            <updated>2026-06-25T17:38:39.000Z</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/21926f02-d7b6-47a7-e1fe-c888cc615000/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/21926f02-d7b6-47a7-e1fe-c888cc615000/w=1350" alt="Horizontal bar chart of milk and dairy consumption by world region measured in kilograms per person per year for 2023, where Europe is highest at 221 kg, Africa lowest at 35 kg, and the world average is 87 kg. Source: Food and Agriculture Organization of the United Nations (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 Europe, the supply of dairy products is far higher than in other parts of the world.</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 shows milk supply per person across the world’s regions, with 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="">It’s based on supply — the amount of milk available for consumption — which includes consumer waste, so it is slightly higher than the amount that people actually consume.</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, the per capita supply in Europe is more than two and a half times the global average. People across Africa and Asia have far less available.</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 numbers include dairy products such as yogurt and cheese, based on how much milk is used to produce them, but they do not include butter.</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://data-add-longrun-uk.owid.pages.dev/grapher/per-capita-milk-consumption" class="span-link span-linked-chart"><span class="">Explore country-by-country data on milk supply</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[A woman’s risk of dying in pregnancy or childbirth varies hugely by country]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/a-womans-risk-of-dying-in-pregnancy-or-childbirth-varies-hugely-by-country</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/a-womans-risk-of-dying-in-pregnancy-or-childbirth-varies-hugely-by-country"/>
            <published>2026-06-23T00:00:00.000Z</published>
            <updated>2026-06-22T05:25:27.000Z</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/6cce2190-436b-4b8a-2672-41a642f79d00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/6cce2190-436b-4b8a-2672-41a642f79d00/w=1350" alt="Bar chart of the estimated lifetime probability that a 15-year-old girl eventually dies from a pregnancy-related cause by country, where risks are highest in several African countries (Central African Republic highest, around 4 percent) and decline to near zero for many European and other countries. Data are for 2023 assuming constant maternal mortality and births per woman; source: Maternal Mortality Estimation Inter-Agency Group, WHO (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="">How likely is it that a 15-year-old girl will eventually die from a pregnancy-related cause?</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="">Researchers at the UN and the World Bank combined available birth and mortality data with statistical models to answer this question. Their estimates assume that the country’s fertility and mortality rates remain constant throughout the teenager’s lifetime (an important assumption I’ll get to later). The chart shows their results.</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 Chad, the Central African Republic, and Nigeria, the estimated lifetime risk is around 4%. This is dire: it means about 1 in 25 girls would eventually die from a pregnancy-related cause.</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="">Women in many other African countries also face substantial risks, and much of Sub-Saharan Africa has a rate above 1%. By comparison, estimates in most other regions are considerably lower, and across Europe the risk is below 0.1%.</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 very high risks for the countries on the left of the chart reflect two factors that compound: they have some of </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/maternal-mortality?tab=marimekko&amp;time=latest&amp;country=TCD~NGA~CAF&amp;mapSelect=TCD~NGA~CAF" class="span-link span-linked-chart"><span class="">the highest</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=""> maternal mortality rates in the world, and the average number of births per woman in these countries is </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/children-born-per-woman?tab=map&amp;country=~TCD&amp;mapSelect=TCD~NGA~CAF" class="span-link span-linked-chart"><span class="">also high</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="">. They face a high mortality risk per pregnancy, multiplied by five or six pregnancies over a lifetime.</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="">Maternal mortality </span><a href="https://ourworldindata.org/data-insights/maternal-deaths-have-halved-in-the-last-35-years" class="span-link"><span class="">rates per pregnancy</span></a><span class=""> and </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/children-born-per-woman?country=TCD~NGA~CAF&amp;mapSelect=TCD~NGA~CAF" class="span-link span-linked-chart"><span class="">fertility rates</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=""> are falling in these countries. Both of these declines would substantially reduce the lifetime risks. The results in the chart assume they stay at current levels, but that doesn’t have to be the case.</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/maternal-mortality#how-do-we-reduce-maternal-mortality" class="span-link"><span class="">Explore the data and read more about maternal mortality trends and what has driven progress in 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[Tobacco use in India has halved this century]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/tobacco-use-in-india-has-halved-this-century</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/tobacco-use-in-india-has-halved-this-century"/>
            <published>2026-06-20T00:00:00.000Z</published>
            <updated>2026-06-20T10:44:29.000Z</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/16ad78b5-54ce-4e8b-4b7e-b9162c90f600/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/16ad78b5-54ce-4e8b-4b7e-b9162c90f600/w=1350" alt="Line chart of the estimated share of people aged 15 years and older in India who currently use tobacco where overall use fell substantially this century — about 50% to 24% for any tobacco (including chewed tobacco) and about 19% to 10% for smoking between 2000 and 2022. Source: WHO — Global Health Observatory (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="">At the turn of the millennium, one-in-five adults in India smoked tobacco, and almost half of all adults were using any form of tobacco, including products that are chewed or sniffed.</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 past two decades, rates of both have roughly halved. 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="">Some countries have seen a decline in smoking among men, but a rise among women. This is not the case in India: tobacco use has </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/share-of-women-who-are-smoking?tab=line&amp;country=IND" class="span-link span-linked-chart"><span class="">fallen substantially</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=""> for both sexes.</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 decline has huge implications. Each year, smoking causes </span><a href="https://data-add-longrun-uk.owid.pages.dev/explorers/global-health?mapSelect=~IND&amp;tableFilter=countries&amp;Health+Area=Risk+factors&amp;Indicator=Smoking&amp;Metric=Number+of+deaths&amp;Source=IHME" class="span-link span-linked-chart"><span class="">almost one million Indians</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 die earlier than they otherwise would. Since smoking-related diseases can take decades to develop, this recent decline in smoking rates will result in fewer deaths in the future.</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="">Smokeless tobacco tends to have lower health risks because people are not inhaling smoke. But it still </span><a href="https://www.thelancet.com/journals/lanonc/article/PIIS1470-2045%2824%2900458-3/abstract" class="span-link"><span class="">increases the risk</span></a><span class=""> of oral, throat, and esophageal cancers, gum disease, and other 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/smoking-big-problem-in-brief" class="span-link"><span class="">Read my colleague Max Roser’s article on the scale of the global smoking problem, and how we make progress against it</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 price of lighting has dropped over 99.9% since 1700]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/the-price-of-lighting-has-dropped-over-999-since-1700</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/the-price-of-lighting-has-dropped-over-999-since-1700"/>
            <published>2026-06-18T04:28:00.000Z</published>
            <updated>2026-06-18T07:09:56.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</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/a4d097e6-2f09-4244-91bf-c0f8c32f9000/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/a4d097e6-2f09-4244-91bf-c0f8c32f9000/w=1350" alt="Line chart of the price per million lumen-hours in the UK from 1300 to 2023 where the long-term trend shows a steep fall — from around £25,000 to £35,000 in the 1300s, to about £10,000 to £15,000 in the 1700s, reaching £2.15 in 2023 — illustrating a dramatic decline in the real cost of lighting. Data are inflation-adjusted and expressed in prices for the year 2000, shown as a 5-year rolling average. Source: Fouquet (2026). License: 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="">In the last two centuries, the price of lighting has decreased drastically.</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, which plots historical data from </span><a href="https://www.elgaronline.com/edcollchap/book/9781035310418/chapter2.xml" class="span-link"><span class="">Roger Fouquet</span></a><span class="">. To allow for comparisons over time, the data is adjusted for inflation and expressed in prices for the year 2000.</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 early 14th century, one million lumen-hours — a standard lighting measure — would have cost around £34,000 in 2000 prices. By 2023, this had fallen to £2.15, a 16,000-fold decline.</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="">Innovations in lighting appliances, fuels, infrastructures, and institutions during the 19th and 20th centuries made this progress possible.</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 put this in perspective, consider that a standard 100-watt incandescent light bulb today can emit about 1,600 lumens. Therefore, running one such bulb for 24 hours would produce about 40,000 lumen-hours.</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="">That means that 1 million lumen-hours today would require continuously keeping a standard 100-watt incandescent bulb on for about 26 days. Achieving the same amount of light with candles would require 120 candles burning at once for that entire period.</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="">Most people today take the ability to switch on a light at night for granted. But those who live or have lived without artificial light can appreciate how important it is.</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/light-at-night" class="span-link"><span class="">Discover more writing and data on our page on light at night</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[NVIDIA’s revenue from data centers and AI has grown 1,300-fold in the last 12 years]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/nvidias-revenue-from-data-centers-and-ai-has-grown-1300-fold-in-the-last-12-years</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/nvidias-revenue-from-data-centers-and-ai-has-grown-1300-fold-in-the-last-12-years"/>
            <published>2026-06-16T00:00:00.000Z</published>
            <updated>2026-06-15T05:56:09.000Z</updated>
            <author><name>Edouard Mathieu</name></author><author><name>Veronika Samborska</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4bc67286-ee98-4d44-3e21-cfa8cd0d6f00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4bc67286-ee98-4d44-3e21-cfa8cd0d6f00/w=1350" alt="Stacked bar chart of NVIDIA&#x27;s quarterly revenue by market segment from February to April 2014 through February to April 2026 where data-center and AI revenue has grown about 1,300-fold in 12 years to represent over 90% of the total by 2026. Data source: NVIDIA Corporation (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="">Spending on the hardware that trains and runs artificial intelligence has grown rapidly over the past years. One of the clearest indicators of how rapidly spending has increased is the revenue of American chipmaker NVIDIA.</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 company accounts for around </span><a href="https://finance.yahoo.com/news/nvidias-85-gpu-market-share-210500376.html" class="span-link"><span class="">85% of the global market for AI chips</span></a><span class="">. These are graphics processing units (GPUs), originally built for video games but well-suited to the parallel computation AI training requires.</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 NVIDIA&#x27;s quarterly revenue in US dollars, split by end market — sales to data-center customers (cloud providers and AI companies) in green, and sales for gaming, consumer devices, and cars in red.</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 early 2014, data centers and AI accounted for just 5% of its revenue; gaming was the biggest single segment. Twelve years later, the ratio has flipped: data centers and AI now make up over 90% of revenue. The revenue in this segment has grown 1,300-fold over the period, from $57 million to more than $75 billion per quarter.</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 centers and AI segment was already growing fast between 2014 and 2022, with revenue doubling every 16 months on average. ChatGPT&#x27;s release in late 2022, alongside the broader push to deploy AI at scale, has accelerated that pace: since then, revenue has doubled every 11 months.</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://data-add-longrun-uk.owid.pages.dev/scaling-up-ai" class="span-link"><span class="">Read our article on how increasing compute, data, and model size has made artificial intelligence more capable</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[Just over one-third of the world’s assessed fish stocks are overexploited]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/just-over-one-third-of-the-worlds-assessed-fish-stocks-are-overexploited</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/just-over-one-third-of-the-worlds-assessed-fish-stocks-are-overexploited"/>
            <published>2026-06-13T06:37:00.000Z</published>
            <updated>2026-06-13T06:38:02.000Z</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/0929947b-40f1-468c-7e03-d81095217000/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/0929947b-40f1-468c-7e03-d81095217000/w=1350" alt="Stacked area chart of the share of assessed global fish stocks classified as biologically sustainable versus overexploited from 1974 to 2021, where the overexploited share rises from the 1970s and is about 35% in 2021 while biologically sustainable is about 65%. Data source: Food and Agriculture Organization of the United Nations (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="">How much of the world’s fish stocks are overfished? Fisheries scientists often answer this question with a specific metric: the “maximum sustainable yield” — this is the largest catch that can be taken from a fish stock without depleting it to the point that future catches decline.</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 a stock is fished at a rate above this level, it is considered overfished.</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 Food and Agriculture Organization (FAO) of the United Nations estimates that just over one-third of the world’s assessed fish stocks are overfished. As the chart shows, this has increased from around 10% in the mid-1970s.</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="">Getting high-quality global estimates of this metric is difficult; many regions have formal assessments of fish stocks and catch rates, but many fish stocks across Africa, Asia, and South America are not assessed rigorously. To get global estimates, the UN FAO combines these formal assessments with expert opinion and extrapolations based on available national and regional data.</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 FAO’s report — </span><a href="https://www.fao.org/publications/fao-flagship-publications/the-state-of-world-fisheries-and-aquaculture/en" class="span-link"><span class="">The State of World Fisheries and Aquaculture 2024</span></a><span class=""> — provides more detailed breakdowns of which species are overfished.</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/fish-and-overfishing" class="span-link"><span class="">Explore more data and research on overfishing</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[Spain and Portugal both get over 40% of their electricity from solar and wind]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/spain-and-portugal-both-get-40-of-their-electricity-from-solar-and-wind</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/spain-and-portugal-both-get-40-of-their-electricity-from-solar-and-wind"/>
            <published>2026-06-11T05:11:00.000Z</published>
            <updated>2026-06-11T05:11:51.000Z</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/f1cc6208-8d7e-470d-b4ad-fac4ebb57600/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f1cc6208-8d7e-470d-b4ad-fac4ebb57600/w=1350" alt="Line chart of the share of electricity generated from solar and wind in Spain and Portugal from 1985 to 2025 where both countries rise from near zero to over 40% by 2025, with Portugal at 44% and Spain at 42% in 2025. Data source: Ember (2026). License: 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="">On the Iberian Peninsula, Spain and Portugal have scaled up solar and wind power almost in step.</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 the share of electricity coming from solar and wind. Both countries generated over 40% of their electricity from these sources in 2025. That was higher than the European Union average of 30%.</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 two countries have very similar geographies and share an electricity market. They also have weak connections to the rest of the European electricity grid, forcing them to generate clean power at home rather than rely on imports.</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="">Wind power is </span><a href="https://data-add-longrun-uk.owid.pages.dev/explorers/energy?tab=chart&amp;Total+or+Breakdown=Select+a+source&amp;Energy+or+Electricity=Electricity+only&amp;Metric=Share+of+total&amp;Select+a+source=Wind&amp;country=ESP~PRT" class="span-link span-linked-chart"><span class="">more prevalent</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 Portugal, while solar is </span><a href="https://data-add-longrun-uk.owid.pages.dev/explorers/energy?tab=chart&amp;Total+or+Breakdown=Select+a+source&amp;Energy+or+Electricity=Electricity+only&amp;Metric=Share+of+total&amp;Select+a+source=Solar&amp;country=ESP~PRT" class="span-link span-linked-chart"><span class="">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=""> in Spain.</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://data-add-longrun-uk.owid.pages.dev/explorers/energy" class="span-link span-linked-chart"><span class="">Explore more data on the rollout of clean energy across the world</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[Where are more people dying than being born?]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/where-are-more-people-dying-than-being-born</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/where-are-more-people-dying-than-being-born"/>
            <published>2026-06-09T00:00:00.000Z</published>
            <updated>2026-06-08T21:02:03.000Z</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/ce445cc0-8b02-4d7c-c777-d3a310610100/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ce445cc0-8b02-4d7c-c777-d3a310610100/w=1350" alt="Choropleth world map of natural population growth showing where deaths now outnumber births in 2023, indicating countries that would have a shrinking population without immigration; it shows much of Europe, Central Asia and East Asia with more deaths than births while most of Africa, South Asia and the Americas have more births than deaths. Data source: UN World Population Prospects (2024), data for 2023. 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="">For most of human history, more people were born each year than died. Populations grew very slowly for most of this history, </span><a href="https://ourworldindata.org/world-population-growth-past-future" class="span-link"><span class="">then rapidly</span></a><span class=""> in recent centuries, as child mortality plummeted and people lived longer.</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 is changing. As the map shows, deaths now outnumber births in a growing number of countries across Europe and East 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="">The balance of births and deaths tells us about a country’s “</span><a href="https://data-add-longrun-uk.owid.pages.dev/explorers/population-and-demography?tab=map&amp;indicator=Natural+population+growth+rate&amp;Sex=Both+sexes&amp;Age=Total&amp;Projection+scenario=None&amp;country=CHN~IND~USA~IDN~PAK~NGA~BRA~JPN" class="span-link span-linked-chart"><span class="">natural population change</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="">” — whether it would grow or shrink without any international migration. Where deaths outnumber births, the population will shrink unless enough people move in from abroad to make up the gap.</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://data-add-longrun-uk.owid.pages.dev/grapher/births-and-deaths-projected-to-2100" class="span-link span-linked-chart"><span class="">Explore how the number of deaths and births is changing in your own country</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[What is the largest source of electricity in each country?]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/what-is-the-largest-source-of-electricity-in-each-country</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/what-is-the-largest-source-of-electricity-in-each-country"/>
            <published>2026-06-06T00:00:00.000Z</published>
            <updated>2026-06-01T08:13:30.000Z</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/e7e35236-283c-4087-0c26-ed33eb812f00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/e7e35236-283c-4087-0c26-ed33eb812f00/w=1350" alt="Choropleth world map of the largest source of electricity in 2024/25 by country, with country labels showing the share of generation coming from that largest source. The map shows many countries dominated by coal, gas, or hydropower, with notable examples labeled such as Norway at 90% hydropower, France about 69% nuclear, Chile about one-quarter solar, and Australia 43% coal. Data source: Ember (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="">Coal </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/share-elec-by-source" class="span-link span-linked-chart"><span class="">generates one-third</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 the world’s electricity, more than any other source.</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 zoom into the country level, and the picture is much more varied. The map shows which source generated the most power in each country in 2024 or 2025 (the latest year available).</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="">Thanks to large reserves, coal dominates across Asia. It’s the largest source in China, India, Indonesia, and Malaysia. These are huge power producers, which is why coal is so dominant at a global 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="">Across most other regions, it’s mostly a mix of gas and hydropower. On islands and parts of North Africa, it’s oil.</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="">Europe has the most diverse mix, with nuclear power dominating generation in countries such as France and Finland, and solar and wind overtaking fossil fuels as the largest sources in countries such as Spain and Germany.</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="">Solar and wind are growing quickly in many countries; when these sources are combined as “variable renewables”, they become the largest source in six more countries: the Netherlands, Portugal, Greece, the United Kingdom, Belgium, and Pakistan.</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://data-add-longrun-uk.owid.pages.dev/grapher/share-elec-by-source" class="span-link span-linked-chart"><span class="">Explore the electricity mix across the world, and see how it’s changing over time</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[Australia is replacing coal and gas power with solar and wind]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/australia-is-replacing-coal-and-gas-power-with-solar-and-wind</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/australia-is-replacing-coal-and-gas-power-with-solar-and-wind"/>
            <published>2026-06-04T06:00:00.000Z</published>
            <updated>2026-06-04T06:00:32.000Z</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/b2dd34e9-80e6-4bb1-a32c-65a7e8892c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b2dd34e9-80e6-4bb1-a32c-65a7e8892c00/w=1350" alt="Line chart of the share of electricity produced by each source in Australia from 1985 to 2025 where coal falls from over 80% to under 50% over about 25 years, gas rises in the 2000s and early 2010s, and solar and wind grow rapidly in the last decade with solar overtaking gas in 2023. Source: Ember (2026); Energy Institute (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="">At the turn of the millennium, Australia got more than 80% of its electricity from coal. This has dropped to less than 45%.</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 how the country’s electricity mix has changed in recent 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="">In the 2000s and early 2010s, coal was initially replaced by gas, with only moderate growth in solar and wind. But in the last five years, solar and wind have been deployed much more quickly. Gas is now on the decline, too. In 2023, solar overtook gas to become Australia’s second-largest electricity source.</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 coal is declining, it still supplies </span><a href="https://data-add-longrun-uk.owid.pages.dev/explorers/energy?facet=none&amp;Total+or+Breakdown=Select+a+source&amp;Energy+or+Electricity=Electricity+only&amp;Metric=Share+of+total&amp;Select+a+source=Coal&amp;country=~AUS" class="span-link span-linked-chart"><span class="">much more of Australia’s power</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 most high-income countries.</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://data-add-longrun-uk.owid.pages.dev/grapher/share-elec-by-source" class="span-link span-linked-chart"><span class="">Explore how electricity sources are changing in other 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[Less than 60% of the world has access to safe sanitation]]></title>
            <id>https://data-add-longrun-uk.owid.pages.dev/data-insights/less-than-60-of-the-world-has-access-to-safe-sanitation</id>
            <link rel="alternate" href="https://data-add-longrun-uk.owid.pages.dev/data-insights/less-than-60-of-the-world-has-access-to-safe-sanitation"/>
            <published>2026-06-02T05:37:00.000Z</published>
            <updated>2026-06-02T05:37:19.000Z</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/73ae8170-0fea-44f5-00c1-336d3716b500/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/73ae8170-0fea-44f5-00c1-336d3716b500/w=1350" alt="Line chart of the share of the population using improved, non-shared sanitation facilities with safely disposed excreta from 2000 to 2024 where it highlights global improvement but persistent gaps between income groups. High-income countries remain around 70 to 85 percent, the world average rises from about 30 to 60 percent, and low-income countries stay much lower around 10 to 25 percent. Data source: WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (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="">Unsafe sanitation is responsible for </span><a href="https://data-add-longrun-uk.owid.pages.dev/grapher/number-of-deaths-by-risk-factor" class="span-link span-linked-chart"><span class="">hundreds of thousands of deaths</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=""> each year. It increases the risk of many fatal diseases, including cholera, diarrhea, dysentery, hepatitis A, typhoid, and polio.</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="">Unfortunately, over 40% of the world does not have access to safe sanitation facilities. This is based on estimates from the WHO/UNICEF’s </span><a href="https://washdata.org/data/household#!/" class="span-link"><span class="">Joint Monitoring Programme for Water Supply, Sanitation and Hygiene</span></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="">The chart shows the share of the global population that has access to safe sanitation over time. While rates have increased, particularly over the last decade, they still fall far short of the UN’s target of universal access in 2030.</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="">Increasing access to safe sanitation would save many lives from preventable infectious diseases.</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://data-add-longrun-uk.owid.pages.dev/grapher/share-using-safely-managed-sanitation" class="span-link span-linked-chart"><span class="">Explore data on safely managed sanitation for individual countries and regions.</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>
</feed>