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<title>Our World in Data - Data Insights</title>
<subtitle>Bite-sized insights on how the world is changing, written by our team</subtitle>
<id>https://ourworldindata.org/data-insights/</id>
<link type="text/html" rel="alternate" href="https://ourworldindata.org/data-insights"/>
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<updated>2026-03-10T00:00:00.000Z</updated>
<entry>
            <title><![CDATA[The world has made huge progress in reducing extreme poverty; could this be coming to an end?]]></title>
            <id>https://ourworldindata.org/data-insights/the-world-has-made-huge-progress-in-reducing-extreme-poverty-could-this-be-coming-to-an-end</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-world-has-made-huge-progress-in-reducing-extreme-poverty-could-this-be-coming-to-an-end"/>
            <published>2026-03-10T00:00:00.000Z</published>
            <updated>2026-03-09T11:15:35.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/82d47ac2-dcb6-411c-afda-b3288fb73c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/82d47ac2-dcb6-411c-afda-b3288fb73c00/w=1350" alt="After huge progress on extreme poverty, is its decline coming to an end?

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

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

Data source: Lakner et al. (2024), updated using World Bank PIP. CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">At the turn of the millennium, 2.2 billion people in the world lived in extreme poverty. In international statistics, this means they survived on less than $3 per day (in today’s money).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the two decades that followed, this number more than halved. You can see this decline in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This huge reduction was driven by rising incomes and poverty alleviation across East and South Asia. In Sub-Saharan Africa, the opposite happened: while the </span><a href="https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty?tab=line&amp;country=~WB_SSA&amp;mapSelect=~WB_SSA" class="span-link span-linked-chart"><em><span class="">share</span></em><span class=""> living in extreme poverty</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> declined, the total number increased.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Looking ahead, based on the latest available projections from researchers at the World Bank, this reduction in global extreme poverty is expected to end. In fact, numbers in 2040 might be higher than they are today.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This is because most of the extremely poor today live in countries with stagnant economies. If these do not see much stronger economic growth, the world will have nearly one billion living in dire poverty for decades to come.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Note that these projections are based on the latest growth projections from the World Bank and the IMF. From 2031 onward, poverty projections are based on the average growth rates observed from 2015 to 2024.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/end-progress-extreme-poverty" class="span-link"><span class="">Read my colleague Max Roser’s article, “The end of progress against extreme poverty?”, which goes into this question in much more detail.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[In 2025, solar and wind produced more electricity than fossil fuels in the European Union]]></title>
            <id>https://ourworldindata.org/data-insights/in-2025-solar-and-wind-produced-more-electricity-than-fossil-fuels-in-the-european-union</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/in-2025-solar-and-wind-produced-more-electricity-than-fossil-fuels-in-the-european-union"/>
            <published>2026-03-07T00:00:00.000Z</published>
            <updated>2026-03-02T08:08:02.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Rosado</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ed8e1e9c-3d33-4951-0840-bfa427831900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ed8e1e9c-3d33-4951-0840-bfa427831900/w=1350" alt="In 2025, solar and wind produced more power than fossil fuels in the European Union.

Line chart of electricity generation share in the EU from 1990 to 2025 comparing fossil fuels and solar and wind. Fossil fuels begin around 55 percent in 1990, stay roughly 50 to 55 percent through about 2010, then decline steadily to about 28 to 30 percent by 2025. Solar and wind start near 0 percent in 1990, rise slowly in the 1990s and 2000s, accelerate after 2010 and reach roughly 28 to 30 percent by 2025, crossing the fossil fuels line in 2025. Not shown: 24 percent of electricity came from nuclear, and 17 percent from other renewables. Data source: Ember (2026)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Just a decade ago, almost three times as much electricity in the European Union was coming from fossil fuels as from solar and wind.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">But last year, for the first time, solar and wind produced more than coal, gas, and oil combined. They accounted for just over 30% of total electricity production.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">You can see this rise of solar and wind — and fossil fuels’ decline — in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This record happened despite a poor year for wind output </span><a href="https://ember-energy.org/latest-insights/european-electricity-review-2026/" class="span-link"><span class="">due to low wind speeds</span></a><span class=""> and a slight increase in gas to compensate for lower hydropower output from dry conditions.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/electricity-prod-source-stacked?country=~EU+%28Ember%29" class="span-link span-linked-chart"><span class="">Explore more data for specific European countries based on the latest update from Ember.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Women in Spain, Italy, and Portugal marry on average six years later than just two decades ago]]></title>
            <id>https://ourworldindata.org/data-insights/women-in-spain-italy-and-portugal-marry-on-average-six-years-later-than-just-two-decades-ago</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/women-in-spain-italy-and-portugal-marry-on-average-six-years-later-than-just-two-decades-ago"/>
            <published>2026-03-05T00:00:00.000Z</published>
            <updated>2026-03-02T08:07:36.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4bd3ba15-d3b6-41a9-dcbf-4b6997a81d00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/4bd3ba15-d3b6-41a9-dcbf-4b6997a81d00/w=1350" alt="Line chart of average age of women who married for the first time, 2002 to 2020, for Spain, Italy, and Portugal, with the vertical axis spanning roughly 25 to 35 years. All three countries show steady increases: Spain rises from about 29 in 2002 to 35 in 2020 and is highest by 2020; Italy rises from about 28 to 34; Portugal rises from about 26 to 32 and shows the largest increase—more than six years over the period. Data source: OECD (2025), licensed CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Marriage is closely linked to decisions about having children in many societies. It also matters for legal rights, family finances, and many other aspects of life.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The age at which people marry has rapidly changed in many countries. The chart shows this by tracking the average age at first marriage among women, using records from national statistics.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In Portugal, Italy, and Spain, the average age at first marriage has risen rapidly and consistently. Portugal saw the largest increase: from around 26 years in 2002 to over 32 years by 2020. This is more than six years in less than a generation. It’s also the largest increase among the countries in the OECD Family Database with data available from the early 2000s up to 2020 (the most recent year with available data in the series).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Changes in the timing of marriage have come together with other related shifts. For instance, a growing share of people are </span><a href="https://ourworldindata.org/marriages-and-divorces#marriages-are-becoming-less-common" class="span-link"><span class="">not marrying at all</span></a><span class="">.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/marriages-and-divorces#marriages-are-becoming-less-common" class="span-link"><span class="">Read more about marriages and explore the data for other countries.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[A record number of objects went into space in 2025]]></title>
            <id>https://ourworldindata.org/data-insights/a-record-number-of-objects-went-into-space-in-2023</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/a-record-number-of-objects-went-into-space-in-2023"/>
            <published>2026-03-03T07:39:00.000Z</published>
            <updated>2026-03-03T10:30:10.000Z</updated>
            <author><name>Edouard Mathieu</name></author><author><name>Pablo Rosado</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/9a0fddb9-354c-463b-61e3-8d07ceed9700/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/9a0fddb9-354c-463b-61e3-8d07ceed9700/w=1350" alt="Annual number of objects launched into space

Line chart showing annual counts from 1957 to 2025 on the horizontal axis and counts from 0 to 5,000 on the vertical axis. The caption notes this includes satellites, probes, landers, crewed spacecraft, and space station flight elements launched into Earth orbit or beyond. From 1957 through about 2015, the plotted lines for individual countries and the world stay low and relatively flat; after about 2018, there is a sudden, steep rise, with the world total climbing to roughly 4,000 to 5,000 launches per year and the United States rising to just under the world total. Other series shown in the legend — China, Russia, Japan, France, Germany, United Kingdom, India, and European Space Agency — also increase more modestly and remain well below the world and United States lines. Data source: United Nations Office for Outer Space Affairs (2026). License: CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">4,510 objects were launched into space in 2025, surpassing the previous peak of 2,903 objects in 2023 by a large margin.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The data shows that US agencies and companies were responsible for launching 3,708 of these objects — 82% of the global total.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The vast majority of these American launches consist of small satellites deployed as part of large commercial “constellations”. These interconnected networks of satellites now account for the bulk of all objects sent into orbit.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The rapid growth of satellite constellations makes it possible to expand Internet connectivity, but it also increases concerns regarding </span><a href="https://ourworldindata.org/grapher/low-earth-orbits-objects" class="span-link span-linked-chart"><span class="">space debris</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> and the congestion of Earth’s orbital environment.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/yearly-number-of-objects-launched-into-outer-space" class="span-link span-linked-chart"><span class="">Explore our interactive chart of objects launched into space.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Oil spills from tankers have fallen by more than 90% since the 1970s]]></title>
            <id>https://ourworldindata.org/data-insights/oil-spills-from-tankers-have-fallen-by-more-than-90-since-the-1970s</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/oil-spills-from-tankers-have-fallen-by-more-than-90-since-the-1970s"/>
            <published>2026-02-28T07:57:00.000Z</published>
            <updated>2026-02-28T07:57:45.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/58ddbaf2-8db7-4f0e-f968-ed28d33d1900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/58ddbaf2-8db7-4f0e-f968-ed28d33d1900/w=1350" alt="Oil spills from tankers have fallen by more than 90% since the 1970s.

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

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

Data source in the footer: ITOPF (2025); website OurWorldInData.org/oil-spills. License: CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the 1970s, oil spills from tankers — container ships transporting oil — were common. Between 70 and 100 spills occurred per year. That’s one or two spills every week.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This number has fallen by more than 90% since then. In the last decade, no year has had more than ten oil spills, as shown in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The </span><em><span class="">quantity</span></em><span class=""> of oil spilled from tankers </span><a href="https://ourworldindata.org/grapher/quantity-oil-spills" class="span-link span-linked-chart"><span class="">has also fallen dramatically</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">. Over the last decade, the average is </span><a href="https://ourworldindata.org/grapher/quantity-oil-spills-decadal-average" class="span-link span-linked-chart"><span class="">less than 10,000 tonnes per year</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">, compared to over 300,000 tonnes in the 1970s.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/oil-spills" class="span-link"><span class="">Explore more charts on oil spills on our dedicated topic page.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Deforestation is no longer inevitable]]></title>
            <id>https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable"/>
            <published>2026-02-26T00:00:00.000Z</published>
            <updated>2026-02-26T10:41:06.000Z</updated>
            <author><name>Max Roser</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/6bdd71cd-635d-4d63-04a9-728db7336e00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/6bdd71cd-635d-4d63-04a9-728db7336e00/w=1350" alt="Changes in forest area by world region since 1990. A world map overlaid with vertical bars and point markers showing forest area in 1990 and in 2025 for each region. Key values and trends: North and Central America 7.7 to 7.8 million km², slight increase; South America 10.3 to 8.5 million km², decrease of about 1.8 million km²; Europe 10.0 to 10.4 million km², increase; Africa 7.8 to 6.6 million km², decrease; Western, Central, and East Asia 2.6 to 3.4 million km², increase; South and Southeast Asia 3.2 to 2.9 million km², decline; Oceania 1.8 to 1.8 million km², no change. Data source: Food and Agriculture Organization of the United Nations, Global Forest Resources Assessment (2025). License: CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the past, forests around the world were cut down </span><a href="https://ourworldindata.org/world-lost-one-third-forests" class="span-link"><span class="">on a massive scale</span></a><span class="">. We lost some of the world’s richest ecosystems.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In recent decades, the picture has become more complex. Deforestation has not ended, but it is no longer happening everywhere. Since 1990, some regions have continued to lose large areas of forest, while others have slowed this long-run trend — and even reversed it.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The map shows regional changes in forest area based on the latest data from the Food and Agriculture Organization of the United Nations.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Deforestation has been particularly large in South America and Africa. At the same time, the forested area has expanded in Europe, North and Central America, and large parts of Asia.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">These gains show that deforestation is not inevitable. When pressure on land falls, forests can return.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/global-forest-transition" class="span-link"><span class="">I previously wrote about why deforestation is happening, and what we can do to bring the long history of deforestation to an end.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Almost 40 countries have legalized same-sex marriage]]></title>
            <id>https://ourworldindata.org/data-insights/more-than-30-countries-have-legalized-same-sex-marriage</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/more-than-30-countries-have-legalized-same-sex-marriage"/>
            <published>2026-02-24T06:39:00.000Z</published>
            <updated>2026-02-24T06:39:49.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Arriagada</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/1581a413-ad82-4705-154f-f69051063500/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/1581a413-ad82-4705-154f-f69051063500/w=1350" alt="Same-sex marriage is legal in 39 countries

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

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

Line chart of annual births and deaths in Japan from 1950 to 2023. Births fall from about 2.4 million in 1950, with a peak near the early 1970s around 2.1 million, then decline steadily to about 750,000 births in 2023. Deaths start near 900,000 in 1950, remain below births through the late 20th century, then rise steadily from the 1990s and cross above births around 2008 to 2010, reaching 1.52 million deaths in 2023. Y-axis labeled in increments from 0 up to 2.5 million. Data source: UN, World Population Prospects (2024). Licensed CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Forty years ago in Japan, two babies were born for every person who died. Twenty years ago, these numbers were equal. And today, the ratio has reversed: </span><em><span class="">one</span></em><span class=""> baby is born for every </span><em><span class="">two</span></em><span class=""> people who die.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the chart, you can see this change in the number of births and deaths over time.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Since deaths now greatly outnumber births, and because immigration is low, Japan’s population </span><a href="https://ourworldindata.org/grapher/population-with-un-projections?country=~JPN" class="span-link span-linked-chart"><span class="">has started to shrink</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/grapher/natural-population-growth?tab=map&amp;time=2023" class="span-link span-linked-chart"><span class="">See which other countries now have more people dying than being born.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[The share of people who identify as religious has fallen across many Western countries]]></title>
            <id>https://ourworldindata.org/data-insights/the-share-of-people-who-identify-as-religious-has-fallen-across-many-western-countries</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-share-of-people-who-identify-as-religious-has-fallen-across-many-western-countries"/>
            <published>2026-02-17T00:00:00.000Z</published>
            <updated>2026-02-08T17:49:29.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Lucas Rodés-Guirao</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/c8e3cdec-f9f5-4cb3-89b9-9308f837f900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/c8e3cdec-f9f5-4cb3-89b9-9308f837f900/w=1350" alt="Religious identification has fallen across many Western countries

Line chart showing the share of people who identify as religious in 2010 and 2020 for six countries. Values by country: United States 84% in 2010 to 70% in 2020 (down 14 percentage points); Chile 86% to 70% (down 16); Canada 76% to 65% (down 11); Australia 75% to 58% (down 17); United Kingdom 71% to 60% (down 11); France 66% to 57% (down 9). Key insight: identification as religious declined in all six countries between 2010 and 2020. Data source: Pew Research Centre (2025)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Debates over whether religion is booming or dying are common. What does the data say?</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 countries lack long-term data on religious identity, but results from the </span><a href="https://www.pewresearch.org/religion/2025/06/09/global-religious-change-methodology/" class="span-link"><span class="">Pew Research Center</span></a><span class=""> offer insights into changes over the decade from 2010 to 2020. (Unfortunately, 2020 is the most recent year for which we have comparable global 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="">At a global level, there was barely any change. The share of people identifying with any religion dropped by just one percentage point, from 77% to 76%.</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 religious affiliation did drop significantly across many countries in Europe, the Americas, and Oceania. You can see this drop for a selection of countries 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="">In Australia, rates dropped from 75% to 58%. In the United States and Chile, the percentage has decreased from roughly 85% to 70%.</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="">So while religious affiliation is </span><a href="https://ourworldindata.org/grapher/percentage-point-change-religiosity" class="span-link span-linked-chart"><span class="">stable in many parts of 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><span class="">, this data shows religion is becoming less prominent in 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="">Note that this data is based on self-identification with any religion; it doesn’t tell us about changes in practices or rituals, such as prayer or attending services.</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="http://ourworldindata.org/religion" class="span-link"><span class="">Explore more data on religious identification, importance, and the frequency of practices across the world in our new topic page on religion.</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[South Korea uses more industrial robots per worker than any other country]]></title>
            <id>https://ourworldindata.org/data-insights/south-korea-uses-more-industrial-robots-per-worker-than-any-other-country</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/south-korea-uses-more-industrial-robots-per-worker-than-any-other-country"/>
            <published>2026-02-14T00:00:00.000Z</published>
            <updated>2026-02-14T17:44:55.000Z</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/420ed9f2-e6fe-428a-a8d9-b602038c8900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/420ed9f2-e6fe-428a-a8d9-b602038c8900/w=1350" alt="Industrial robots in operation per 1,000 employees in manufacturing in 2023.

Horizontal bar chart listing 17 countries with the number of industrial robots in operation per 1,000 manufacturing employees. Key insight: South Korea leads with 101 robots per 1,000 employees, followed by Singapore with 77 and China with 47. Full country values, in descending order: South Korea 101; Singapore 77; China 47; Germany 43; Japan 42; Sweden 35; Slovenia 31; Denmark 31; Switzerland 30; United States 30; Netherlands 26; Austria 25; Italy 23; Canada 23; Slovakia 20; France 19; Spain 17.

Data source: International Federation of Robotics. License: CC BY.

Note: Industrial robots are automated, reprogrammable machines that can move in three or more directions and perform tasks in industrial settings. Examples of machines that are not classified as robots include software (for example, voice assistants), remote-controlled drones, self-driving cars, and “smart” washing machines." 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="">This chart shows one way to compare automated manufacturing across countries — it plots the number of robots per 1,000 manufacturing employees.</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 very large differences between countries. South Korea stands out, with more than one robot for every ten manufacturing workers.</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="">Singapore comes second, and China ranks third, close to Germany. The United States sits in the middle, close to the European average, below Switzerland, Denmark and Slovenia.</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 perspective shows industrial robot adoption in relative terms. </span><a href="https://ourworldindata.org/data-insights/chinas-adoption-of-industrial-robots-has-surged-over-the-past-decade" class="span-link"><span class="">In another Data Insight</span></a><span class="">, I looked at robot adoption in absolute terms. From that perspective, China stands out by a large margin: it’s a large economy with a huge manufacturing sector, and it has by far the largest stock of industrial robots.</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="">Much of this expansion has happened recently: China’s annual installations </span><a href="https://ourworldindata.org/grapher/annual-industrial-robots-installed" class="span-link span-linked-chart"><span class="">increased 12-fold </span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">over a decade, helping it catch up to South Korea in terms of robots per worker.</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/industrial-robots-in-operation-per-1000-employees?tab=chart&amp;country=CZE~KOR~SGP~CHN~DEU~JPN~SWE~DNK~SVN~CHE~USA~TWN~AUT~NLD~ITA~CAN~Belgium+and+Luxembourg~SVK~FRA~ESP~FIN~OWID_WRL~European+Union~OWID_ASI~OWID_NAM" class="span-link span-linked-chart"><span class="">Explore the interactive version of this 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[Three out of four people worldwide consider themselves religious, but rates vary a lot across countries]]></title>
            <id>https://ourworldindata.org/data-insights/three-out-of-four-people-worldwide-consider-themselves-religious-but-rates-vary-a-lot-across-countries</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/three-out-of-four-people-worldwide-consider-themselves-religious-but-rates-vary-a-lot-across-countries"/>
            <published>2026-02-12T00:00:00.000Z</published>
            <updated>2026-02-08T17:51:10.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Lucas Rodés-Guirao</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/cb4cce19-4280-4c2b-554b-734aaf955000/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/cb4cce19-4280-4c2b-554b-734aaf955000/w=1350" alt="Three out of four people worldwide report being religious, but rates vary a lot across countries.
Horizontal bar chart of the share who say they are affiliated with any religion, based on self-identification regardless of practices or beliefs. Values shown: India 100%, Pakistan 100%, South Africa 97%, Global share 76% (annotated &quot;Three-quarters of the world population are religious&quot;), United States 70%, Australia 58%, South Korea 52%, Japan 43%, Hong Kong 29%, Czechia 27%, China 10% (annotated &quot;Just one-in-ten people in China identify with a particular religion&quot;). Data source: Pew Research Centre (2025)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Most people in the world are religious. When </span><a href="https://www.pewresearch.org/religion/2025/06/09/global-religious-change-methodology/" class="span-link"><span class="">asked whether they identify</span></a><span class=""> with </span><em><span class="">any</span></em><span class=""> religion, three-quarters of respondents choose 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="">But in the chart, you can see huge differences in rates of religious affiliation across the world. In some countries, such as India and Pakistan, it’s almost universal: almost everyone identifies with a religion.</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 opposite is true in China, where just one in ten people does. Several countries in East Asia, in particular, have particularly low rates of religious identification compared to other regions.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This doesn’t necessarily mean these populations hold </span><em><span class="">no</span></em><span class=""> religious beliefs; they may </span><a href="https://www.pewresearch.org/religion/2023/08/30/measuring-religion-in-china/" class="span-link"><span class="">still engage</span></a><span class=""> in activities that can be considered religious or spiritual, even though they don&#x27;t describe themselves as belonging to any one in particular.</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="http://ourworldindata.org/religion" class="span-link"><span class="">We show here just a small selection of countries; you can explore data for many more in our new topic page on religion.</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 global trade of plastic waste has fallen dramatically in the last decade]]></title>
            <id>https://ourworldindata.org/data-insights/the-global-trade-of-plastic-waste-has-fallen-dramatically-in-the-last-decade</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-global-trade-of-plastic-waste-has-fallen-dramatically-in-the-last-decade"/>
            <published>2026-02-10T00:00:00.000Z</published>
            <updated>2026-02-09T11:33:40.000Z</updated>
            <author><name>Hannah Ritchie</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/dfb2696e-1fd1-4b70-c53a-1f8773d30700/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/dfb2696e-1fd1-4b70-c53a-1f8773d30700/w=1350" alt="Global plastic trade has fallen dramatically, mostly due to China’s ban on imports

Line chart, 1992 to 2021, showing tonnes of plastic imports on the vertical axis from 0 to 16 million t. Two series are plotted: total plastics imported across all countries and China’s imports. Key insight: total global imports rise from near zero in the 1990s to a peak around 2015 to 2016 of about 16 million tonnes, then collapse steeply to roughly 4 million tonnes by 2021 — a fall of more than two-thirds. China’s imports climb to about 8 million tonnes in the mid 2010s, then drop sharply to near zero after policy changes and stop completely in 2021. Annotations note China reduced plastic imports in 2016 and banned imports of plastic waste in 2018 with a complete end to imports in 2021. Data source: United Nations Comtrade Database (2025)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">It might seem odd that countries would agree to import plastic </span><em><span class="">waste</span></em><span class=""> from other countries, but many do so for the cheap materials or to feed specific manufacturing processes.</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="">Environmentally, the trade in plastics has often been a concern, as it allows rich countries to effectively “dump” waste on poorer countries with </span><a href="https://ourworldindata.org/grapher/mismanaged-plastic-waste-per-capita" class="span-link span-linked-chart"><span class="">weaker waste management</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=""> systems.</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 good news is that trade in plastic waste has fallen by more than two-thirds over the last decade. You can see this reduction 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="">China has been the biggest driver of this. It was once a large importer, but after a steep decline in trade in 2016 and </span><a href="https://en.wikipedia.org/wiki/China%27s_waste_import_ban" class="span-link"><span class="">a ban in 2018</span></a><span class="">, many countries lost their largest export market.</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 2024, around 5 million tonnes of plastic waste were traded worldwide. For context, that is around 1% of the total plastic waste generated. What’s perhaps surprising is that most trade is now </span><a href="https://ourworldindata.org/grapher/plastic-waste-trade?tab=line&amp;country=OWID_LIC~OWID_HIC~OWID_LMC~OWID_UMC&amp;mapSelect=OWID_LIC~OWID_HIC~OWID_LMC~OWID_UMC&amp;metric=imports&amp;rate=total" class="span-link span-linked-chart"><span class="">between high-income 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><span class="">, which reduces the risk that this waste leaks into the environment.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/plastic-pollution" class="span-link"><span class="">Learn more in our updated topic page on plastic pollution.</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[China’s adoption of industrial robots has surged over the past decade]]></title>
            <id>https://ourworldindata.org/data-insights/chinas-adoption-of-industrial-robots-has-surged-over-the-past-decade</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/chinas-adoption-of-industrial-robots-has-surged-over-the-past-decade"/>
            <published>2026-02-07T00:00:00.000Z</published>
            <updated>2026-02-02T07:10:03.000Z</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/5a587d83-7e15-41ad-9808-0f402fdc0200/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/5a587d83-7e15-41ad-9808-0f402fdc0200/w=1350" alt="Annual industrial robots installed. Line chart showing annual installations for China, Japan, United States, South Korea, and Germany from 2011 to 2023. China starts near 23,000 in 2011, rises to about 57,000 by 2014, reaches roughly 150,000 by 2017 to 2018, then climbs sharply to about 260,000 in 2021 and peaks near 290,000 in 2022 before a small decline to around 275,000 in 2023, far above the other countries. Japan, the United States, South Korea, and Germany stay in the roughly 10,000 to 60,000 range across the period, with modest peaks around 2018. The y-axis spans 0 to 300,000. The data source is: International Federation of Robotics (IFR) via AI Index Report (2025). A note reads: Software (e.g., voice assistants), remote-controlled drones, self-driving cars, or devices such as “smart” washing machines are not classified as robots." 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="">Industrial robots are rapidly becoming a common part of manufacturing in some countries. The chart here shows how many new ones are installed each year in the industrialized countries for which we have available data from the International Federation of Robotics (IFR).</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, industrial robots are defined as automatically controlled, reprogrammable, and multipurpose machines used in industrial settings. The data covers only physical industrial robots, not software or consumer technologies.</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 that in 2011, China, the United States, Japan, Germany, and South Korea were all installing similar numbers of these robots. However, in the decade that followed, the paths of these countries diverged. By 2023, annual installations in China had risen to 276,000 robots, a twelvefold increase.</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="">Over the same period, installations in the United States, Japan, Germany, and South Korea also increased, but much more slowly: none of them even doubled. The United States, which saw the second-largest rise, went from 21,000 new installations in 2011 to 38,000 in 2023.</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 refer to </span><em><span class="">new</span></em><span class=""> robots installed each year; that is, annual additions to the existing stock of robots. The IFR also publishes data on the total number of robots in operation, and </span><a href="https://ifr.org/downloads/press2018/2024-SEP-24_IFR_press_release_World_Robotics_2024_-_China.pdf" class="span-link"><span class="">by this measure</span></a><span class="">, China also had the largest installed base, at around 1.76 million robots in 2023.</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="">Relative to its large manufacturing sector, China’s stock of robots today </span><a href="https://ourworldindata.org/grapher/industrial-robots-in-operation-per-1000-employees?tab=chart&amp;country=CZE~KOR~SGP~CHN~DEU~JPN~SWE~DNK~SVN~CHE~USA~TWN~AUT~NLD~ITA~CAN~Belgium+and+Luxembourg~SVK~FRA~ESP~FIN~OWID_WRL~European+Union~OWID_ASI~OWID_NAM" class="span-link span-linked-chart"><span class="">does not stand out</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 data here shows that this is changing quickly.</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/annual-industrial-robots-installed" class="span-link span-linked-chart"><span class="">Explore the interactive version of this 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[The Syrian civil war has killed hundreds of thousands, displaced millions, and caused poor health and widespread poverty]]></title>
            <id>https://ourworldindata.org/data-insights/the-syrian-civil-war-has-killed-hundreds-of-thousands-displaced-millions-and-caused-poor-health-and-widespread-poverty</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/the-syrian-civil-war-has-killed-hundreds-of-thousands-displaced-millions-and-caused-poor-health-and-widespread-poverty"/>
            <published>2026-02-05T00:00:00.000Z</published>
            <updated>2026-02-02T18:36:30.000Z</updated>
            <author><name>Bastian Herre</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/01f67802-ecf8-4ef2-b5ad-afb63f790200/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/01f67802-ecf8-4ef2-b5ad-afb63f790200/w=1350" alt="Chart titled &quot;the many costs of the Syrian civil war&quot;. It consists of eight small line charts of deaths due to fighting, all deaths, deaths of children under 5, internally displaced people, international refugees, GDP per capita, the share in extreme poverty, and the share undernourished between 2004 and 2024. It shows that the civil war didn&#x27;t just kill hundreds of thousands due to fighting, but also increased deaths overall (especially those of young children), displaced millions, halved average living standards, and created extreme poverty and widespread undernourishment. Data sources include UCDP, the UN, Eurostat, OECD, IMF, World Bank, and FAO. The chart is licensed CC BY to Our World in Data." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Most of our </span><a href="https://ourworldindata.org/war-and-peace" class="span-link"><span class="">work on war and peace</span></a><span class=""> focuses on the people killed directly in the fighting. But war has many other costs: it worsens people’s health, leaves them without work, and pushes them out of their homes.</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 for the civil war in Syria. Since the war began in 2011, more than 400,000 people have been killed in the fighting. At the same time, annual deaths increased as more people died from other causes. Young children were especially affected: estimates suggest that the number of annual child deaths more than doubled.</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 war has also forced millions of people to leave their homes: in total, more than seven million are displaced within Syria, and almost as many are refugees </span><a href="https://ourworldindata.org/data-insights/almost-half-of-people-born-in-syria-have-left-where-have-they-gone" class="span-link"><span class="">elsewhere</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="">It also became much harder for people to make a living. Average living standards, measured by GDP per capita, have more than halved since the war began. As a result, poverty and hunger have risen sharply.</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 come with uncertainty because conflict makes it hard and dangerous to collect 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="">This shows that to understand the costs of war, we need to have a broad perspective and see its impacts on health, displacement, and living standards.</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/conflict-deaths-breakdown" class="span-link"><span class="">Millions have died in conflicts since the Cold War; learn more about where and how.</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[What is the most common religious affiliation in each country?]]></title>
            <id>https://ourworldindata.org/data-insights/what-is-the-most-common-religious-affiliation-in-each-country</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/what-is-the-most-common-religious-affiliation-in-each-country"/>
            <published>2026-02-03T00:00:00.000Z</published>
            <updated>2026-02-02T18:36:39.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Lucas Rodés-Guirao</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/68e8e94e-e86b-477f-ad75-e15c8c2d6100/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/68e8e94e-e86b-477f-ad75-e15c8c2d6100/w=1350" alt="What is the most common religious affiliation in each country?

Choropleth world map showing the most common religion reported by people in each country. Key pattern: Christians are the dominant group across the Americas, much of Europe, large parts of sub‑Saharan Africa, Australia and many Pacific nations. Muslims are most common across North Africa, the Middle East and many countries in West, Central and parts of South Asia. Hindus are most common in India (and Nepal). Buddhists are most common in several East and Southeast Asian countries. The religiously unaffiliated are the largest group in China and some other East Asian countries. Jews are the largest group only in Israel. A small number of countries are categorized as Other.

Data source: Pew Research Centre (2025). Data refer to the year 2020. Note: Based on how people describe their own religious identity, regardless of their practices or beliefs." 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="">Three-quarters of people worldwide </span><a href="https://ourworldindata.org/grapher/religious-composition?tab=discrete-bar&amp;time=latest&amp;religion=any_religion&amp;indicator=share" class="span-link span-linked-chart"><span class="">say they are religious</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 rates of religious identity can vary a lot across countries, and so do the particular religions people follow.</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 map, you can see the most common religious affiliation for each country. This can include the “unaffiliated” who do not identify with any specific religion. This data is sourced from the </span><a href="https://www.pewresearch.org/religion/2025/06/09/global-religious-change-methodology/" class="span-link"><span class="">Pew Research Center</span></a><span class=""> and is based on how people describe their own identity, regardless of their particular practices or beliefs.</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, Christianity is the most common across much of Europe, the Americas, and Sub-Saharan Africa. Islam is the most common across North Africa and the Middle East, while Hinduism and Buddhism dominate across much of 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="">In East Asian countries such as China, Japan, and South Korea, the religiously </span><em><span class="">un</span></em><span class="">affiliated are the biggest group. That doesn’t mean these populations hold </span><em><span class="">no</span></em><span class=""> religious beliefs; they may </span><a href="https://www.pewresearch.org/religion/2023/08/30/measuring-religion-in-china/" class="span-link"><span class="">still engage</span></a><span class=""> in activities that can be considered religious or spiritual, but they don’t describe themselves as belonging to any one in particular.</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/share-of-population-by-religious-affiliation" class="span-link span-linked-chart"><span class="">Explore the full breakdown of religious affiliations within each country, beyond just the most common answer.</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[William Foege, the physician who saved many millions from smallpox]]></title>
            <id>https://ourworldindata.org/data-insights/william-foege-the-physician-who-saved-many-millions-from-smallpox</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/william-foege-the-physician-who-saved-many-millions-from-smallpox"/>
            <published>2026-01-31T00:00:00.000Z</published>
            <updated>2026-01-30T13:59:41.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ebc8462c-e723-40ce-07af-c7994bf15c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ebc8462c-e723-40ce-07af-c7994bf15c00/w=1350" alt="Smallpox: when was it eliminated in each country? World choropleth map showing, for each country, the decade when smallpox was eliminated. Legend categories shown are: Before 1900; 1900s; 1910s; 1920s; 1930s; 1940s; 1950s; 1960s; 1970s. Subheading notes that smallpox was declared globally eradicated in 1980. Key pattern: most countries in Europe, North America, and Australia eliminated smallpox earlier in the 20th century, while many countries in Africa, South Asia, and parts of South America eliminated it later, concentrated in the 1960s to 1970s. Data source: Fenner et al. (1988)." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><a href="https://en.wikipedia.org/wiki/William_Foege" class="span-link"><span class="">William Foege</span></a><span class="">, who sadly died this week, is one of the reasons why this map ends in the 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="">The physician and epidemiologist is best known for his pivotal role in the global strategy to eradicate smallpox, a horrific disease </span><a href="https://doi.org/10.1016/j.vaccine.2011.06.080" class="span-link"><span class="">estimated to have killed</span></a><span class=""> 300 million 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="">Despite the world having an effective vaccine for more than a century, smallpox was still widespread across many parts of Africa and Asia in the mid-20th century.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Foege played a crucial role in developing the “</span><a href="https://en.wikipedia.org/wiki/Ring_vaccination" class="span-link"><span class="">ring vaccination strategy</span></a><span class="">”, which focused on vaccinating people around each identified case, rather than attempting a population-wide vaccination strategy, which was difficult in countries with limited resources.</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 strategy, combined with increased global funding efforts and support for local health programs, paved the way: country after country declared itself free of smallpox. You can see this drop-off through the decades in the map.</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 disease was declared globally eradicated in 1980.</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="">William Foege and his colleagues’ contributions are </span><a href="https://www.taskforce.org/bill-foege-tribute/" class="span-link"><span class="">credited with</span></a><span class=""> saving millions, if not tens of millions of lives.</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/smallpox" class="span-link"><span class="">Read more about the history of smallpox.</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[People living in England and Wales are much less likely to be victims of theft than in the 1990s]]></title>
            <id>https://ourworldindata.org/data-insights/people-living-in-england-and-wales-are-much-less-likely-to-be-victims-of-theft-than-in-the-1990s</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/people-living-in-england-and-wales-are-much-less-likely-to-be-victims-of-theft-than-in-the-1990s"/>
            <published>2026-01-29T00:00:00.000Z</published>
            <updated>2026-01-26T08:29:26.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Fiona Spooner</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/91dfe378-ccc1-4c05-2e55-810306693900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/91dfe378-ccc1-4c05-2e55-810306693900/w=1350" alt="Thefts in England and Wales are much less common than they were in the 1990s

Four small line charts showing estimated annual incidents from 1981 to 2025 from the Crime in England and Wales Survey (which interviews adults about their experiences of selected crimes in the 12 months before). Top left, Vehicle-related theft: a sharp rise to a peak around the late 1990s of about 4 million incidents, driven in part by stealing car parts such as radios, followed by a steady decline through 2025. Top right, Domestic burglary: a rise to a peak around the late 1990s of about 2 million incidents, then a fall of more than 80 percent from the peak through 2025. Bottom left, Other household theft: a peak in the late 1990s near 1.5 million incidents, then a gradual decline to around 500 thousand with some smaller ups and downs. Bottom right, Theft from the person (pickpocketing): more variable trends with peaks around 600 thousand in the late 1990s and periodic resurgences; overall decline is smaller and recent years show fluctuations. Axes show years 1981 to 2025 and incident counts with appropriate tick marks. Data source: Office for National Statistics (2025). Note: This data captures many incidents that were not reported to the police." 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="">Several data sources show that theft in England and Wales has declined 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="">One of those is police records — but they only capture </span><em><span class="">reported </span></em><span class="">crimes, and many people don’t report thefts. So it’s also important to draw on a second data source. The data we show here comes from reports based on </span><a href="https://www.crimesurvey.co.uk/en/index.html" class="span-link"><span class="">face-to-face interviews</span></a><span class=""> with a representative sample of the population. In these interviews, the public is asked about their personal experiences of crimes in the previous 12 months.</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="">On this chart, we’ve broken down the numbers by four different types of theft.</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 a dramatic drop in vehicle-related thefts. These peaked in 1995, with an estimated 4.3 million incidents in England and Wales. While some of these incidents involved the actual stealing of a vehicle, many were either attempted break-ins or the theft of specific components, such as radios.</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="">Burglaries — which involve someone breaking into a building to steal — also peaked in the mid-1990s.</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="">Both types of incidents have decreased by </span><em><span class="">more than 80%</span></em><span class=""> since then.</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="">Pickpocketing or “snatching” has been more persistent. These crimes have decreased slightly from the 1990s and early 2000s, but have also experienced an increase in recent years.</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/us-crime-rates" class="span-link"><span class="">Explore long-term data on violent and property crimes in the United States in our article.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Indonesia’s shift to cleaner cooking fuels has greatly improved air quality and health]]></title>
            <id>https://ourworldindata.org/data-insights/indonesias-shift-to-cleaner-cooking-fuels-has-greatly-improved-air-quality-and-health</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/indonesias-shift-to-cleaner-cooking-fuels-has-greatly-improved-air-quality-and-health"/>
            <published>2026-01-27T06:56:00.000Z</published>
            <updated>2026-01-27T06:56:59.000Z</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/438d4e1b-4eb7-4d95-edad-bb4b2d809300/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/438d4e1b-4eb7-4d95-edad-bb4b2d809300/w=1350" alt="Share of the Indonesian population with access to clean fuels for cooking.

Line chart showing a steady rise in the share of people with access to clean cooking fuels from 7% in 2000 to 91% in 2023, crossing roughly 40% by about 2010, 60% by about 2015, and 80% by about 2020. Y-axis ranges from 0% to 100% and the x-axis spans years 2000 to 2023. Data source shown in the footer: World Health Organization (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 2000, less than 10% of the population in Indonesia had access to clean cooking fuels. This is now over 90%, as the chart shows.</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="">Clean cooking fuels are those that, when burned, emit less than the World Health Organization&#x27;s recommended amounts of air pollutants. They reduce the burden of air pollution — and its health impacts — for the households that use them.</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 2007, the Indonesian government </span><a href="https://www.iisd.org/publications/report/lessons-learned-indonesias-attempts-reform-fossil-fuel-subsidies" class="span-link"><span class="">launched a national program</span></a><span class=""> to move from kerosene cooking fuels to liquefied petroleum gas.</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 shift has greatly reduced particulate pollution and improved health outcomes. Death rates from indoor air pollution </span><a href="https://ourworldindata.org/grapher/death-rate-by-source-from-indoor-air-pollution?tab=chart&amp;country=~IDN" class="span-link span-linked-chart"><span class="">have fallen</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=""> steeply.</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/access-to-clean-fuels-and-technologies-for-cooking?time=earliest..latest" class="span-link span-linked-chart"><span class="">Explore how access to clean cooking fuels has changed throughout 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[Stomach cancer used to be the main cause of cancer mortality in Japan; since then, rates have fallen dramatically]]></title>
            <id>https://ourworldindata.org/data-insights/stomach-cancer-used-to-be-the-main-cause-of-cancer-mortality-in-japan-since-then-rates-have-fallen-dramatically</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/stomach-cancer-used-to-be-the-main-cause-of-cancer-mortality-in-japan-since-then-rates-have-fallen-dramatically"/>
            <published>2026-01-24T00:00:00.000Z</published>
            <updated>2026-01-19T08:10:01.000Z</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/5cca5b84-be78-49b3-e67e-2185265de600/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/5cca5b84-be78-49b3-e67e-2185265de600/w=1350" alt="Stomach cancer was previously the largest cause of cancer deaths in Japan, but rates have fallen dramatically.

Line chart comparing age‑standardized estimated cancer deaths per 100,000 people in 1980 to 2021. Stomach cancer drops from 48.1 per 100,000 in 1980 to 13.2 per 100,000 in 2021 — a decline of more than 70% and from the highest rate in 1980 to below several other cancers by 2021. In 2021 the highest rates shown are lung, trachea, bronchus at 21.3 per 100,000, colon and rectum at 15.9, and pancreas at 10.3. Several other cancer lines remain low and relatively flat across the period. Data source: IHME, Global Burden of Disease (2024)." 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="">Back in 1980, stomach cancer was the type of cancer that someone in Japan was most likely to die from. Its death rate — the number of deaths per 100,000 people — was over twice as high as the next largest killer, lung cancer.</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 no longer the case. Since then, death rates from stomach cancer have dropped by more than 70%. You can see this change, compared to other cancers, 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="">While death rates of some other cancers have also fallen, these declines have been much smaller. Some types even saw an increase in death rates over these four 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="">Improvements in prevention, detection, and treatment have </span><a href="https://www.sciencedirect.com/science/article/pii/S1047279720301940" class="span-link"><span class="">all contributed</span></a><span class=""> to this huge decrease in stomach cancer death rates. Stomach cancer is often caused by a bacterium called </span><em><span class="">Helicobacter pylori</span></em><span class="">;  better hygiene and food safety have reduced its spread. Early screening for the infection has also made a big difference to survival rates.</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 progress is not unique to Japan. Many countries, and the world as a whole, have seen a </span><a href="https://ourworldindata.org/data-insights/stomach-cancer-mortality-rates-have-declined-in-many-countries" class="span-link"><span class="">huge reduction</span></a><span class=""> in stomach cancer mortality.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Note that these death rates are age-standardized, which means they hold the age structure of the population constant. This allows us to understand how the risks of someone </span><em><span class="">of a given age</span></em><span class=""> have changed over time.</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/stomach-cancer-death-rate" class="span-link span-linked-chart"><span class="">Stomach cancer death rates have fallen across many countries — explore 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>
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