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<title>Our World in Data - Data Insights</title>
<subtitle>Bite-sized insights on how the world is changing, written by our team</subtitle>
<id>https://ourworldindata.org/data-insights/</id>
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<updated>2026-02-21T07:19:00.000Z</updated>
<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>
            </entry>
<entry>
            <title><![CDATA[Suicide rates in Lithuania have more than halved since their 1990s peak]]></title>
            <id>https://ourworldindata.org/data-insights/suicide-rates-in-lithuania-have-more-than-halved-since-their-1990s-peak</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/suicide-rates-in-lithuania-have-more-than-halved-since-their-1990s-peak"/>
            <published>2026-01-22T00:00:00.000Z</published>
            <updated>2026-01-19T08:09:37.000Z</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/324ab0a7-64cf-48cd-e272-6d2e31b5bd00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/324ab0a7-64cf-48cd-e272-6d2e31b5bd00/w=1350" alt="Suicide rates in Lithuania have more than halved since their 1990s peak.

Line chart of estimated suicides per 100,000 people, age-standardized, from 1990 to 2021. The line rises sharply in the early 1990s to a peak in 1995 of 45 deaths per 100,000, then trends downward fairly steadily to about 20 deaths per 100,000 by 2021. Annotations on the chart note the 1995 peak and that rates have more than halved to 20 deaths per 100,000 and that this remains among the highest rates in Europe. Data source in the footer: 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="">Following the collapse of the Soviet Union and the social and economic disruption that it left behind, suicide rates in Lithuania increased rapidly. They climbed in the early 1990s and reached a peak in 1995. At 45 suicide deaths per 100,000 people, the country had one of the </span><a href="https://ourworldindata.org/grapher/suicide-death-rates?tab=table&amp;time=1995..latest" class="span-link span-linked-chart"><span class="">highest rates</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> in the world.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">But in the last few decades, rates have </span><a href="https://ourworldindata.org/grapher/suicide-rates-source-comparison?time=1990..latest&amp;country=~LTU" class="span-link span-linked-chart"><span class="">more than halved</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="">. You can see this in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Several factors likely contributed to the decline. Economic conditions improved, with average incomes </span><a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database?tab=line&amp;time=1820..2022&amp;country=~LTU" class="span-link span-linked-chart"><span class="">more than doubling</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 just a decade from the mid-1990s to the mid-2000s and continuing to rise thereafter. In 2007, the country launched its first National Mental Health Strategy. A decade ago, it also developed a Suicide Prevention Bureau and a Suicide Prevention Action Plan.</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 has saved many lives. Yet today it </span><em><span class="">still</span></em><span class=""> has some of the </span><a href="https://ourworldindata.org/grapher/suicide-death-rates" class="span-link span-linked-chart"><span class="">highest rates</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> in the world. That’s because suicide rates have not only fallen strongly in Lithuania, but in many countries — estimates for the global suicide rate </span><a href="https://ourworldindata.org/grapher/suicide-death-rates?tab=line&amp;time=1995..latest&amp;country=~OWID_WRL" class="span-link span-linked-chart"><span class="">suggest a 40% decline</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=""> since 1995.</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/suicide" class="span-link"><span class="">Explore more data on how suicide rates have changed across the world 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[Over 40,000 near-Earth asteroids have been detected since 1990]]></title>
            <id>https://ourworldindata.org/data-insights/over-33000-near-earth-asteroids-have-been-detected-since-1990</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/over-33000-near-earth-asteroids-have-been-detected-since-1990"/>
            <published>2026-01-20T09:08:00.000Z</published>
            <updated>2026-01-20T09:08:57.000Z</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/da4ceb1e-47ae-4fdb-bb42-4ac14bdf9400/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/da4ceb1e-47ae-4fdb-bb42-4ac14bdf9400/w=1350" alt="Cumulative near-Earth asteroids discovered over time. Stacked area chart of cumulative discoveries from 1990 to 2025, showing three size categories: smaller than 140 meters; 140 meters to 1 kilometer; and larger than 1 kilometer. The y-axis runs from 0 to 40,000 cumulative asteroids. Discoveries rise slowly through the 1990s and 2000s, then accelerate sharply after about 2010 and especially after 2015. By 2025, roughly 40,000 near-Earth asteroids have been recorded, with the majority in the smaller-than-140-meters category, a substantial but smaller share in the 140 meters to 1 kilometer category, and a very small number larger than 1 kilometer. Data source: NASA Center for Near-Earth Object Studies (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="">Since the late 20th century, astronomers and space agencies have taken steps to monitor the threat of large asteroids passing near Earth. They set up international efforts to find these objects early, track their paths, and learn more about what they’re made of, so we’d have the best chance of spotting a real collision risk in 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="">As the chart shows, more than 40,000 near-Earth asteroids have been discovered and tracked since 1990. NASA </span><a href="https://cneos.jpl.nasa.gov/stats/" class="span-link"><span class="">estimates</span></a><span class=""> that we’ve already found over 90% of near-Earth objects larger than 1 kilometer. These are the most dangerous ones, because an impact at that size could cause global-scale damage.</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"><a href="https://ourworldindata.org/search?topics=Space+Exploration+%26+Satellites" class="span-link"><span class="">Explore more interactive charts on space exploration and satellites</span></a><span class="span-plain-arrow"> →</span></p>]]></content>
            </entry>
<entry>
            <title><![CDATA[Malaysia is an outlier: richer than its neighbors but doing worse on child nutrition]]></title>
            <id>https://ourworldindata.org/data-insights/malaysia-is-an-outlier-richer-than-its-neighbors-but-doing-worse-on-child-nutrition</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/malaysia-is-an-outlier-richer-than-its-neighbors-but-doing-worse-on-child-nutrition"/>
            <published>2026-01-17T00:00:00.000Z</published>
            <updated>2026-01-12T07:15:34.000Z</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/ac94d6f6-886c-4503-1923-68ce904c4d00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/ac94d6f6-886c-4503-1923-68ce904c4d00/w=1350" alt="Childhood stunting in Malaysia has increased in recent decades, while its neighbours have made progress

Line chart showing prevalence of stunting among children younger than five in selected Southeast Asian countries from 2000 to 2024, y-axis 0% to 60%, x-axis years 2000 to 2024. Most countries (Laos, Philippines, Bangladesh, Indonesia, Cambodia, Vietnam, Thailand) show steady declines in stunting over the period. Malaysia is the notable exception, with rates rising from about 20% to 24% in the last 25 years and crossing above some neighbours by 2024 — this is highlighted by an on-chart note: &quot;Rates in Malaysia have increased from 20% to 24% in the last 25 years.&quot; Data source in footer: World Health Organization (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="">If we look at income levels across countries in South and Southeast Asia, Malaysia is far richer than many of its neighbors. Its gross domestic product (GDP) per capita has almost doubled since 2000. It is now more than </span><a href="https://ourworldindata.org/grapher/gdp-per-capita-worldbank?tab=line&amp;country=MYS~KHM~IDN~LAO~THA~BGD~VNM" class="span-link span-linked-chart"><span class="">three times higher</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> than that of Cambodia, Laos, and Bangladesh, and more than double that of Indonesia and Vietnam.</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 if we look at measures of childhood nutrition, Malaysia is not doing better. You can see this in the chart. While its neighbors have made progress on childhood stunting — the share of children under 5 who are too short for their age — Malaysia has regressed. In 2000, 20% of children were “stunted”, and this has increased to 24%.</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="">Malaysia also stands out at a global level. When we </span><a href="https://ourworldindata.org/grapher/stunting-vs-level-of-prosperity-over-time?country=~MYS" class="span-link span-linked-chart"><span class="">plot the share</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> of children who are stunted against GDP per capita, the country is a clear outlier for its level of income. Most other countries at this level of economic development have rates below 10%.</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="">Malaysia also does relatively poorly on other measures of malnutrition. On childhood wasting — when a child’s weight is too low for their height — it has </span><a href="https://ourworldindata.org/grapher/share-of-children-with-a-weight-too-low-for-their-height-wasting?tab=line&amp;time=2000..latest&amp;country=MYS~KHM~THA~LAO~BGD~VNM~IDN&amp;focus=~MYS" class="span-link span-linked-chart"><span class="">one of the highest</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> rates in the region.</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 country is off track or worsening on </span><a href="https://globalnutritionreport.org/resources/nutrition-profiles/asia/south-eastern-asia/malaysia/" class="span-link"><span class="">most global nutrition targets</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/stunting-definition" class="span-link"><span class="">Read our explainer on stunting: how it’s measured, and why it matters.</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[Many children who could benefit from oral rehydration therapy for diarrhea still don’t receive it]]></title>
            <id>https://ourworldindata.org/data-insights/many-children-who-could-benefit-from-oral-rehydration-therapy-for-diarrhea-still-dont-receive-it</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/many-children-who-could-benefit-from-oral-rehydration-therapy-for-diarrhea-still-dont-receive-it"/>
            <published>2026-01-15T00:00:00.000Z</published>
            <updated>2026-01-12T07:15:26.000Z</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/bf8e5643-f015-4bb0-2c1e-722d97481a00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/bf8e5643-f015-4bb0-2c1e-722d97481a00/w=1350" alt="Share of children with diarrhea receiving oral rehydration salts. Horizontal bar chart showing percentage of children under five with diarrhea in the two weeks prior to the survey who received oral rehydration salts (data for 2020 or most recent year). Values by country: Chad 17.4%; Cameroon 17.9%; Madagascar 19.6%; Central African Republic 23.4%; Senegal 26%; Rwanda 28%; Zimbabwe 32.8%; Sierra Leone 85.3%. Key point: Sierra Leone&#x27;s share is much higher than the others, which cluster around 17 to 33 percent. Data source: Demographic and Health Surveys via World Bank (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 2021, around </span><a href="https://ourworldindata.org/grapher/deaths-from-diarrheal-diseases-who?tab=line&amp;time=earliest..2021" class="span-link span-linked-chart"><span class="">1.25 million 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=""> died from diarrheal diseases. Around </span><a href="https://ourworldindata.org/grapher/deaths-from-diarrheal-diseases-by-age?stackMode=relative" class="span-link span-linked-chart"><span class="">a third</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> of these deaths were children.</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="">Two main factors explain why so many children still die from diarrhea, especially in poor countries: the persistence of risk factors such as poor sanitation and unsafe water, and the lack of access to effective treatment.</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="">Here, I want to focus on the second factor: access to a particularly effective treatment, known as oral rehydration therapy (ORT), which is essentially a mixture of clean water, salts, and sugar. Simple as it may sound, researchers writing in the medical journal </span><em><span class="">The Lancet</span></em><span class=""> </span><a href="https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(10)60356-X/abstract" class="span-link"><span class="">called ORT</span></a><span class=""> “potentially the most important medical advance of the 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="">The chart shows how often this treatment is used in a selection of African countries. This is based on household surveys asking caregivers of children under five who recently had diarrhea whether they received ORT.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">There are large gaps: in Chad and Cameroon, fewer than one in five children with diarrhea received the treatment. This reflects a mix of challenges, including low awareness of its benefits and expensive or inconsistent supply.</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="">Importantly, though, the chart also shows that rates are much higher in Sierra Leone, where around 85% of children received ORT. This shows that much higher coverage is possible. Sierra Leone has </span><a href="https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-020-01857-7" class="span-link"><span class="">implemented several successful policies</span></a><span class="">, including free treatment for children.</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="">Not every child with diarrhea needs this treatment — some recover without it, depending on their health and circumstances. But ORT is cheap, safe, and easy to give. In low-income settings, especially, offering it widely as a cheap preventive measure can make a big difference for those who need it.</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/oral-rehydration-therapy" class="span-link"><span class="">Read more about oral rehydration therapy, a low-tech solution that has saved millions of lives.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Global deaths from cancer have increased, but the world has made progress against it]]></title>
            <id>https://ourworldindata.org/data-insights/global-deaths-from-cancer-have-increased-but-the-world-has-made-progress-against-it</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/global-deaths-from-cancer-have-increased-but-the-world-has-made-progress-against-it"/>
            <published>2026-01-13T00:00:00.000Z</published>
            <updated>2026-01-12T07:15:15.000Z</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/225e5928-53ac-43b8-ca73-dd70481a1300/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/225e5928-53ac-43b8-ca73-dd70481a1300/w=1350" alt="Global cancer deaths have increased, but age-adjusted rates have fallen. Line chart from 1980 to 2021 showing three series: estimated number of cancer deaths, crude cancer death rate, and age-standardized cancer death rate. Key findings annotated on the chart: the total number of cancer deaths has roughly doubled since 1980; crude cancer death rates have increased by just under 20 percent; age-adjusted cancer death rates have fallen by more than 20 percent. 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="">Over the past four decades, the global number of people dying from cancer each year </span><a href="https://ourworldindata.org/explorers/global-health?tab=line&amp;country=~OWID_WRL&amp;Health+Area=Non-communicable+diseases&amp;Indicator=Cancer&amp;Metric=Number+of+deaths&amp;Source=IHME" class="span-link span-linked-chart"><span class="">has doubled</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 can look like the world is losing its battle with cancer: people are more likely to develop it, and we’re getting no better at treating it. This isn’t true.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">There are, of course, </span><a href="https://ourworldindata.org/grapher/population-by-age-group?time=1980..latest" class="span-link span-linked-chart"><span class="">almost 4 billion more 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 than in 1980. And many of those people are older. This matters a lot because cancer rates </span><a href="https://ourworldindata.org/cancer#cancer-risks-rise-steeply-with-age" class="span-link"><span class="">rise steeply with age</span></a><span class="">.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The chart shows three different measures. </span><strong><span class="">Total deaths</span></strong><span class=""> just count how many people died from cancer; this is the number that has doubled. </span><strong><span class="">Crude death rates</span></strong><span class="">, shown in yellow, adjust for population size; the increase shrinks from more than 100% to around 20%. </span><strong><span class="">Age-adjusted rates</span></strong><span class="">, shown in blue, also account for the fact that countries have older populations today; we can see that the fully age-adjusted rate has actually </span><em><span class="">fallen</span></em><span class=""> by more than 20%.</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 means that for the average person, the likelihood of dying from cancer in any given year is now lower than it was for someone of a similar age in the past. The world still has a long way to go in preventing and treating cancer, but it’s wrong to think that no progress has been made.</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/cancer" class="span-link"><span class="">Explore more insights and see how trends are evolving for different types of cancers.</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[Some parts of Europe have a growing population, while others are shrinking]]></title>
            <id>https://ourworldindata.org/data-insights/some-parts-of-europe-have-a-growing-population-while-others-are-shrinking</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/some-parts-of-europe-have-a-growing-population-while-others-are-shrinking"/>
            <published>2026-01-10T00:00:00.000Z</published>
            <updated>2026-01-05T09:07:40.000Z</updated>
            <author><name>Esteban Ortiz-Ospina</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f0350730-42b2-4668-258a-6a4450b9a700/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f0350730-42b2-4668-258a-6a4450b9a700/w=1350" alt="Map titled “Population change in Europe: positive vs. negative growth.” Choropleth of Europe showing the difference in population on 1 July 2023 versus one year earlier. Countries are filled in one of two colors: pale peach (legend label: “Positive”) or orange (legend label: “Negative”). On the map most Western and some Northern European countries are pale peach; Russia, much of Central and Eastern Europe and parts of the Balkans are orange. Legend and the two-category color scale appear at the bottom." 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 map shows which European countries saw an increase in population, and which saw a decrease in the year from July 2022 to 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="">The regional divide is stark: most countries with negative population change are located in the eastern and southern parts of Europe, while countries in the west and north saw population growth.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">We focus on 2022–2023 as they are the most recent years in the UN’s latest World Population Prospects, published in 2024. Temporary shocks can influence year-to-year population changes, but this regional pattern is not unique to this particular year: you see it in </span><a href="https://ourworldindata.org/explorers/population-and-demography?tab=map&amp;time=2021&amp;indicator=Population+growth+rate&amp;Sex=Both+sexes&amp;Age=Total&amp;Projection+scenario=None&amp;country=CHN~IND~USA~IDN~PAK~NGA~BRA~JPN&amp;globe=1&amp;globeRotation=51.08%2C10.27&amp;globeZoom=2.5" class="span-link span-linked-chart"><span class="">earlier years too</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 it also shows up when you look at population change </span><a href="https://ourworldindata.org/grapher/population-unwpp?tab=slope&amp;stackMode=relative&amp;time=2013..latest&amp;country=FRA~PRT~IRL~GBR~ESP~ISL~NOR~SWE~FIN~RUS~EST~LVA~LTU~BLR~DNK~BEL~LUX~DEU~ITA~CHE~AUT~CZE~SVK~HRV~SVN~BIH~NLD~MNE~ALB~GRC~CYP~MLT~TUR~BGR~MKD~OWID_KOS~SRB~HUN~ROU~MDA~UKR~POL&amp;mapSelect=FRA~PRT~IRL~GBR~ESP~ISL~NOR~SWE~FIN~RUS~EST~LVA~LTU~BLR~DNK~BEL~LUX~DEU~ITA~CHE~AUT~CZE~SVK~HRV~SVN~BIH~NLD~MNE~ALB~GRC~CYP~MLT~TUR~BGR~MKD~OWID_KOS~SRB~HUN~ROU~MDA~UKR~POL" class="span-link span-linked-chart"><span class="">over longer periods</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">A key driver of this is migration. Most countries in Western and Northern Europe have had positive net migration (i.e., more people arriving than leaving). Many countries in Eastern and Southern Europe, in contrast, have had </span><a href="https://ourworldindata.org/explorers/population-and-demography?tab=map&amp;time=2023&amp;globe=1&amp;globeRotation=51.08%2C10.27&amp;globeZoom=2.5&amp;indicator=Net+migration&amp;Sex=Both+sexes&amp;Age=Total&amp;Projection+scenario=Medium&amp;country=CHN~IND~USA~IDN~PAK~NGA~BRA~JPN" class="span-link span-linked-chart"><span class="">more people leaving than arriving</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Fertility rates have been declining across Europe, and all of these countries now have </span><a href="https://ourworldindata.org/data-insights/which-countries-have-fertility-rates-above-or-below-the-replacement-level" class="span-link"><span class="">rates below the replacement level</span></a><span class="">. That means that across much of Europe, since deaths now exceed births, the population </span><a href="https://ourworldindata.org/grapher/population-growth-rate-with-and-without-migration?country=~BEL" class="span-link span-linked-chart"><span class="">would be shrinking without migration</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 Western and Northern Europe, positive net migration has been offsetting this.</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/explorers/population-and-demography?tab=map&amp;indicator=Population+growth+rate" class="span-link span-linked-chart"><span class="">Explore country-by-country trends in our Population &amp; Demography Explorer.</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[Child deaths outnumber homicides in the United States, but get far less public attention]]></title>
            <id>https://ourworldindata.org/data-insights/child-deaths-outnumber-homicides-in-the-united-states-but-get-far-less-public-attention</id>
            <link rel="alternate" href="https://ourworldindata.org/data-insights/child-deaths-outnumber-homicides-in-the-united-states-but-get-far-less-public-attention"/>
            <published>2026-01-08T00:00:00.000Z</published>
            <updated>2026-01-05T09:07:19.000Z</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/78cd1312-17f2-4735-9e42-83f1ddcb7c00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/78cd1312-17f2-4735-9e42-83f1ddcb7c00/w=1350" alt="Child deaths outnumber homicide deaths in the United States.

Two-column bar chart comparing annual deaths (data for 2023). Left column: &quot;Child deaths (under-15s, all causes)&quot; — 30,200 deaths. Right column: &quot;Homicides (all ages)&quot; — 22,800 deaths. Subtitle notes that everyday tragedies of children dying from preterm birth, sepsis, and asphyxia receive far less media and public attention. Note: numbers rounded; approximately 1,000 child deaths were by homicide and are included in both columns. Data sources: UN IGME for child deaths; US CDC for homicides." 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’s a widespread view that child deaths are still a pressing problem in poorer countries, but not in rich ones.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">I don’t think this is true, and I want to illustrate it with one example from the United States.</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 2023, 30,200 </span><a href="https://www.cdc.gov/nchs/data/databriefs/db521.pdf" class="span-link"><span class="">children died</span></a><span class=""> in the US. In the same year, 22,800 Americans of any age were killed </span><a href="https://www.cdc.gov/nchs/fastats/homicide.htm" class="span-link"><span class="">through homicide</span></a><span class="">. You can see this in the chart.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Few Americans would argue that murders are a “solved problem”. And this is certainly not what you’d take away from the news. As we showed in </span><a href="https://ourworldindata.org/does-the-news-reflect-what-we-die-from" class="span-link"><span class="">a recent article</span></a><span class="">, homicides receive disproportionate coverage in both left- and right-leaning media, relative to the number of people who die from 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="">The everyday tragedies of children dying from preterm births, neonatal sepsis, and asphyxia do not get nearly the same attention, but are no less important. These are problems that we can still make more progress on.</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/child-mortality-rich-countries-decline" class="span-link"><span class="">I’ve recently written about what high-income countries can do to continue reducing child deaths.</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>
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