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<!doctype html><html class="js-disabled"><head><meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1"/><title>Our World in Data</title><meta name="description" content="Research and data to make progress against the world’s largest problems"/><link rel="canonical" href="https://ourworldindata.org"/><link rel="alternate" type="application/atom+xml" href="/atom.xml" title="Atom feed for Our World in Data"/><link rel="apple-touch-icon" sizes="180x180" href="/apple-touch-icon.png"/><link rel="preload" href="/fonts/LatoLatin-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous"/><meta property="fb:app_id" content="1149943818390250"/><meta property="og:url" content="https://ourworldindata.org"/><meta property="og:title" content="Our World in Data"/><meta property="og:description" content="Research and data to make progress against the world’s largest problems"/><meta property="og:image" content="https://ourworldindata.org/default-thumbnail.jpg"/><meta property="og:site_name" content="Our World in Data"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:site" content="@OurWorldInData"/><meta name="twitter:creator" content="@OurWorldInData"/><meta name="twitter:title" content="Our World in Data"/><meta name="twitter:description" content="Research and data to make progress against the world’s largest problems"/><meta name="twitter:image" content="https://ourworldindata.org/default-thumbnail.jpg"/><link rel="modulepreload" href="/assets/owid.mjs"/><link rel="preload" href="https://cdnjs.cloudflare.com/polyfill/v3/polyfill.min.js?version=4.8.0&amp;features=es2019,es2020,es2021,es2022,es2023,IntersectionObserver,IntersectionObserverEntry,ResizeObserver,globalThis" as="script" data-cloudflare-disable-early-hints="true"/><link rel="preload" href="/assets/owid.css" as="style"/><link rel="stylesheet" href="/assets/owid.css"/><meta name="citation_title" content="OWID Homepage"/><meta name="citation_fulltext_html_url" content="https://ourworldindata.org"/><meta name="citation_fulltext_world_readable" content=""/><meta name="citation_publication_date" content="2024/03/25"/><meta name="citation_journal_title" content="Our World in Data"/><meta name="citation_journal_abbrev" content="Our World in Data"/><meta name="citation_author" content="Our World in Data"/><meta name="citation_author" content="Max Roser"/><script>window._OWID_GDOC_PROPS = {"slug":"owid-homepage","published":true,"createdAt":"2024-02-22T21:04:05.000Z","publishedAt":"2024-02-28T15:02:00.000Z","updatedAt":"2024-03-25T11:31:28.000Z","revisionId":"ALBJ4Ls78RZjHNTRBOe31pSvTknYp6dlTk6t57m4XnORZqqGsfJwGbITiYGYTS_IpZHjxEbiUL_RIMU9P6MyrA","markdown":"### Popular pages\n* [COVID-19 Data Explorer](https://ourworldindata.org/explorers/coronavirus-data-explorer)\n* [CO₂ & Greenhouse Gas Emissions](https://ourworldindata.org/co2-and-greenhouse-gas-emissions)\n* [Child and Infant Mortality](https://docs.google.com/document/d/1h37-KpdZ3qAJ9xSA4OhbmGfmLr3Ydc_z9oHtDTszBuQ/edit)\n* [Artificial Intelligence](https://docs.google.com/document/d/11t6XP9vKLDHeiDOcfaPOoc4TeQxHRixSjEikAlbGe0A/edit)\n* [Energy](https://docs.google.com/document/d/1GRYE-mYiSEnes8rXjK6dCNi4KULLJB8KW03AOPci-b8/edit)\n* [Poverty](https://docs.google.com/document/d/1UjJLoGF5VMfn8U4C3ZSJQrPhc_jFRkeEhrhz5Ksfq7M/edit)\n* [Global Education](https://docs.google.com/document/d/1FbKVWqPddBZy0NcHzDG-BSoCsN5tJnok3RXcLo6R9ls/edit)\n\n\n\n- [Browse our Data Insights(https://ourworldindata.org/data-insights)]\n\n<KeyIndicatorCollection>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/child-mortality?time=earliest..latest\" title=\"What share of children die before their fifth birthday?\" source=\"Long-run estimates combining data from UN & Gapminder\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty\" title=\"What share of the population is living in extreme poverty?\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/life-expectancy\" title=\"How has people’s life expectancy changed over time?\" source=\"Long-run estimates collated from multiple sources by Our World in Data\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/co-emissions-per-capita?tab=chart&country=USA~GBR~CHN~ZAF~PAN\" title=\"How have CO₂ emissions per capita changed?\" source=\"Long-run estimates from the Global Carbon Budget\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/gdp-per-capita-maddison\" title=\"How do average incomes compare between countries around the world?\" source=\"Long-run estimates from the Maddison Project Database\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/prevalence-of-undernourishment\" title=\"What share of the population is suffering from hunger?\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/cross-country-literacy-rates?country=RUS~GBR~NLD~CRI~ISR~SGP~CHL~CHN~MAC~OWID_WRL~IND~TZA\" title=\"When has literacy become a widespread skill?\" source=\"Long-run estimates collated from multiple sources by Our World in Data\"/>\n<KeyIndicator datapageUrl=\"https://ourworldindata.org/grapher/share-of-the-population-with-access-to-electricity?time=latest\" title=\"Where do people lack access to even the most basic electricity supply?\"/>\n</KeyIndicatorCollection>","publicationContext":"unlisted","breadcrumbs":null,"tags":[],"errors":[{"property":"linkedAuthors","message":"Author \"Our World in Data\" does not exist or is not 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It highlights that Chile, Spain, and Australia have seen the most significant increases, particularly after 2015, with Chile leading by 2023. China, the United States, and the global average have also increased but at a slower pace. The data source is the Energy Institute’s Statistical Review of World Energy (2024).","updatedAt":1726230745056,"originalWidth":3400,"originalHeight":2400},"Chile-solar-DI-mobile_color-update.png":{"id":2053,"googleId":"1cNvaqb-EGGy2NFDboLgvDAol9lU-s_Hf","filename":"Chile-solar-DI-mobile_color-update.png","defaultAlt":"Chart shows the share of primary energy consumption from solar energy from 2000 to 2023, measured as a percentage of primary energy using the substitution method. It highlights that Chile, Spain, and Australia have seen the most significant increases, particularly after 2015, with Chile leading by 2023. China, the United States, and the global average have also increased but at a slower pace. The data source is the Energy Institute’s Statistical Review of World Energy (2024).","updatedAt":1726230748895,"originalWidth":2160,"originalHeight":2160},"china-child-mortality-desktop.png":{"id":1756,"googleId":"1brY8wB4veWFNn68MgChzorZUJAUyBAx3","filename":"china-child-mortality-desktop.png","defaultAlt":"Line chart showing the child mortality rate in China, and globally since 1950.","updatedAt":1718345301971,"originalWidth":3400,"originalHeight":2400},"china-child-mortality-mobile.png":{"id":1755,"googleId":"1VVbvjtMEhTl3I6xpjvBT894AI9QNIN5u","filename":"china-child-mortality-mobile.png","defaultAlt":"Line chart showing the child mortality rate in China, and globally since 1950.","updatedAt":1718345305379,"originalWidth":2160,"originalHeight":2160},"death-rate-from-drug-use-disorders-slope-desktop.png":{"id":2013,"googleId":"1lBrFNn71sX56sLjVC_BmNOo6Rf-v93SJ","filename":"death-rate-from-drug-use-disorders-slope-desktop.png","defaultAlt":"This chart titled “Drug use disorder death rate” shows the estimated annual number of deaths from drug use disorders per 100,000 people from 2000 to 2021, highlighting the sharp increase in North America. The data is represented for Canada and the United States, indicated by red lines, compared to other regions in lighter colors.\n\n\t•\tIn 2000, the United States had a drug use disorder death rate of 5 per 100,000 people, which increased significantly to 31.8 per 100,000 by 2021.\n\t•\tCanada’s rate was 2.9 per 100,000 in 2000, rising to 19.2 per 100,000 in 2021.\n\t•\tOther regions shown in the background have relatively stable and lower death rates from drug use disorders.\n\nData source: World Health Organization (2024). ","updatedAt":1726495095641,"originalWidth":3400,"originalHeight":2400},"death-rate-from-drug-use-disorders-slope-mobile.png":{"id":2012,"googleId":"1-pXZNr_w7X6GBES6N_3UHuMd43UleuLe","filename":"death-rate-from-drug-use-disorders-slope-mobile.png","defaultAlt":"This chart titled “Drug use disorder death rate” shows the estimated annual number of deaths from drug use disorders per 100,000 people from 2000 to 2021, highlighting the sharp increase in North America. The data is represented for Canada and the United States, indicated by red lines, compared to other regions in lighter colors.\n\n\t•\tIn 2000, the United States had a drug use disorder death rate of 5 per 100,000 people, which increased significantly to 31.8 per 100,000 by 2021.\n\t•\tCanada’s rate was 2.9 per 100,000 in 2000, rising to 19.2 per 100,000 in 2021.\n\t•\tOther regions shown in the background have relatively stable and lower death rates from drug use disorders.\n\nData source: World Health Organization (2024). 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How is production changing over time?","type":"topic-page","featured-image":"minerals-featured-image.png"}},"latestDataInsights":[{"id":"1XaC0ljxzhPld5PqGOdzsGUfx-0akJm9k8sLsoyfDRhE","slug":"chinas-great-leap-forward-caused-a-dramatic-spike-in-child-deaths","publishedAt":"2024-09-19T05:00:00.000Z","content":{"body":[{"size":"narrow","type":"image","filename":"china-child-mortality-desktop.png","hasOutline":false,"parseErrors":[],"smallFilename":"china-child-mortality-mobile.png"},{"type":"text","value":[{"text":"Child mortality rates in China have fallen from more than 20% in 1950 to less than 1% today.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"But this steady progress was interrupted in the late 1950s during the “","spanType":"span-simple-text"},{"url":"https://simple.wikipedia.org/wiki/Great_Leap_Forward","children":[{"text":"Great Leap Forward","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":"”. This was China’s national plan to industrialize rapidly, but it resulted in widespread famine and economic turmoil.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"As the chart shows, child mortality rates spiked in China over this period. This change was so dramatic that it is also clearly visible in the global trend. 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We have just updated our charts with the latest data.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"In 2000, drug-related death rates in Canada and the United States were reasonably similar to rates in other countries. 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But as you can see on the map, this is the case for less than half of births in some of the world’s poorest countries.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"This is based on data from Demographic and Health Surveys and UNICEF. 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This improvement is not only due to declining child mortality; life expectancy increased ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/its-not-just-about-child-mortality-life-expectancy-improved-at-all-ages","children":[{"text":"at all ages","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":".","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"This visualization shows long-run estimates of life expectancy brought together by our team from several different data sources. It also shows that the ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/coronavirus","children":[{"text":"COVID-19 pandemic","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" led to reduced life expectancy worldwide.","spanType":"span-simple-text"}],"parseErrors":[]}],"type":"key-indicator","title":"How has people’s life expectancy changed over time?","source":"Long-run estimates collated from multiple sources by Our World in Data","datapageUrl":"https://ourworldindata.org/grapher/life-expectancy","parseErrors":[]},{"text":[{"type":"text","value":[{"text":"The main source of carbon dioxide (CO","spanType":"span-simple-text"},{"children":[{"text":"2","spanType":"span-simple-text"}],"spanType":"span-subscript"},{"text":") emissions is the burning of fossil fuels. It is the primary ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/co2-and-greenhouse-gas-emissions","children":[{"text":"greenhouse gas","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" causing ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/explorers/climate-change","children":[{"text":"climate change","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":".","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"Globally, CO","spanType":"span-simple-text"},{"children":[{"text":"2","spanType":"span-simple-text"}],"spanType":"span-subscript"},{"text":" emissions have remained at just below 5 tonnes per person for over a decade. Between countries, however, there are large differences, and while emissions are rapidly increasing in some countries, they are rapidly falling in others.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"The source for this CO","spanType":"span-simple-text"},{"children":[{"text":"2","spanType":"span-simple-text"}],"spanType":"span-subscript"},{"text":" data is the Global Carbon Budget, a dataset we update yearly as soon as it is published. In addition to these production-based emissions, they publish consumption-based emissions for the last three decades, which can be viewed in our ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/explorers/co2?facet=none&country=CHN~USA~IND~FRA&Gas+or+Warming=CO%E2%82%82&Accounting=Consumption-based&Fuel+or+Land+Use+Change=All+fossil+emissions&Count=Per+capita","children":[{"text":"Greenhouse Gas Emissions Data Explorer","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":".","spanType":"span-simple-text"}],"parseErrors":[]}],"type":"key-indicator","title":"How have CO₂ emissions per capita changed?","source":"Long-run estimates from the Global Carbon Budget","datapageUrl":"https://ourworldindata.org/grapher/co-emissions-per-capita?tab=chart&country=USA~GBR~CHN~ZAF~PAN","parseErrors":[]},{"text":[{"type":"text","value":[{"text":"GDP per capita is a very comprehensive measure of people’s ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/what-is-economic-growth","children":[{"text":"average income","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":". This indicator reveals how large the inequality between people in different countries is. In the poorest countries, people live on less than $1,000 per year, while in rich countries, the average income is more than 50 times higher.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"The data shown is sourced from the Maddison Project Database. Drawing together the careful work of hundreds of economic historians, the particular value of this data lies in the historical coverage it provides. This data makes clear that the vast majority of people in all countries ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/extreme-history-methods","children":[{"text":"were poor","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" in the past. It allows us to understand when and how the ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/economic-growth","children":[{"text":"economic growth","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" that made it possible ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/breaking-the-malthusian-trap","children":[{"text":"to leave","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" the deep poverty of the past behind was achieved.","spanType":"span-simple-text"}],"parseErrors":[]}],"type":"key-indicator","title":"How do average incomes compare between countries around the world?","source":"Long-run estimates from the Maddison Project Database","datapageUrl":"https://ourworldindata.org/grapher/gdp-per-capita-maddison","parseErrors":[]},{"text":[{"type":"text","value":[{"url":"https://ourworldindata.org/hunger-and-undernourishment","children":[{"text":"Hunger","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" has been a severe problem for most of humanity throughout history. Growing enough food to feed one’s family was a constant struggle in daily life. Food shortages, malnutrition, and ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/famines","children":[{"text":"famines","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" were common around the world.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"The UN’s Food and Agriculture Organization publishes global data on undernourishment, defined as not consuming enough calories to maintain a normal, active, healthy life. These minimum requirements vary by a person’s sex, weight, height, and activity levels. This is considered in these national and global estimates.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"The world has made much progress in reducing global hunger in recent decades. But we are still far away from an end to hunger, as this indicator shows. Tragically, nearly one in ten people still do not get enough food to eat and in recent years — especially during the pandemic — hunger levels have increased.","spanType":"span-simple-text"}],"parseErrors":[]}],"type":"key-indicator","title":"What share of the population is suffering from hunger?","datapageUrl":"https://ourworldindata.org/grapher/prevalence-of-undernourishment","parseErrors":[]},{"text":[{"type":"text","value":[{"text":"Literacy is a foundational skill. Children need to learn to read so that they can read to learn. When we fail to teach this foundational skill, people have fewer opportunities to lead the rich and interesting lives that a good education offers.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"The historical data shows that only a very small share of the population, a tiny elite, was able to read and write. Over the course of the last few generations, literacy levels increased, but ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/better-learning","children":[{"text":"it remains","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" an important challenge for our time to provide this foundational skill to all.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"At Our World in Data, ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/how-is-literacy-measured","children":[{"text":"we investigated","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" the strengths and shortcomings of the available data on literacy. Based on this work, our team brought together the long-run data shown in the chart by combining several different sources, including the World Bank, the CIA Factbook, and a range of research publications.","spanType":"span-simple-text"}],"parseErrors":[]}],"type":"key-indicator","title":"When has literacy become a widespread skill?","source":"Long-run estimates collated from multiple sources by Our World in Data","datapageUrl":"https://ourworldindata.org/grapher/cross-country-literacy-rates?country=RUS~GBR~NLD~CRI~ISR~SGP~CHL~CHN~MAC~OWID_WRL~IND~TZA","parseErrors":[]},{"text":[{"type":"text","value":[{"url":"https://ourworldindata.org/light-at-night","children":[{"text":"Light at night","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" makes it possible to get together after sunset; ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people","children":[{"text":"mobile phones","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" allow us to stay in touch with those far away; the refrigeration of food reduces food waste; and ","spanType":"span-simple-text"},{"url":"https://ourworldindata.org/grapher/technology-adoption-by-households-in-the-united-states","children":[{"text":"household appliances","spanType":"span-simple-text"}],"spanType":"span-link"},{"text":" free up time from household chores. Access to electricity improves people’s living conditions in many ways.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"The World Bank data on the world map captures whether people have access to the ","spanType":"span-simple-text"},{"children":[{"url":"https://ourworldindata.org/definition-electricity-access","children":[{"text":"most basic","spanType":"span-simple-text"}],"spanType":"span-link"}],"spanType":"span-italic"},{"text":" electricity supply — just enough to provide basic lighting and charge a phone or power a radio for 4 hours per day.","spanType":"span-simple-text"}],"parseErrors":[]},{"type":"text","value":[{"text":"It shows that, especially in several African countries, a large share of the population lacks the benefits that basic electricity offers. 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From left to right: Science, Nature, PNAS, BBC, Financial Times, The New York Times, The Guardian, The Atlantic, and The Washington Post" width="230" height="75" loading="lazy"/></section><section class="grid grid-cols-9 span-cols-9 col-start-5 span-md-cols-12 col-md-start-2 homepage-intro__right-section"><h2 class="span-cols-9 span-md-cols-12 h5-black-caps homepage-intro__featured-work-heading">Featured work</h2><div class="grid grid-cols-9 span-cols-9 span-md-cols-12 homepage-intro__featured-work-container"><div class="homepage-intro__primary-tiles span-cols-6"><a href="/metals-minerals" class="homepage-intro__featured-tile"><picture class=""><source srcSet="/images/published/minerals-featured-image_48.png 48w, /images/published/minerals-featured-image_100.png 100w, /images/published/minerals-featured-image_350.png 350w, /images/published/minerals-featured-image_850.png 850w, /images/published/minerals-featured-image_1200.png 1200w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 640px"/><img src="/images/published/minerals-featured-image.png" alt="Featured image" class="" loading="lazy" width="1200" height="630"/></picture><span class="h6-black-caps homepage-intro__featured-work-kicker">New topic page</span><p class="homepage-intro__featured-work-title">Metals and Minerals</p><p class="homepage-intro__featured-work-description">Which countries produce the world’s critical minerals? How is production changing over time?</p><p class="body-3-medium-italic homepage-intro__featured-work-authors">Hannah Ritchie and Pablo Rosado</p></a></div><div class="homepage-intro__secondary-tiles span-cols-3 col-start-7"><a href="/countries-critical-minerals-needed-energy-transition" class="homepage-intro__featured-tile"><picture class=""><source srcSet="/images/published/critical-minerals-thumbnail_48.png 48w, /images/published/critical-minerals-thumbnail_100.png 100w, /images/published/critical-minerals-thumbnail_350.png 350w, /images/published/critical-minerals-thumbnail_850.png 850w, /images/published/critical-minerals-thumbnail_1350.png 1350w, /images/published/critical-minerals-thumbnail_5000.png 5000w" type="image/png" sizes="350px"/><img src="/images/published/critical-minerals-thumbnail.png" alt="Thumbnail" class="" loading="lazy" width="5000" height="2617"/></picture><span class="h6-black-caps homepage-intro__featured-work-kicker">Article · 13 min read</span><p class="homepage-intro__featured-work-title">Which countries have the critical minerals needed for the energy transition?</p><p class="homepage-intro__featured-work-description">An overview of the distribution of critical minerals for clean energy.</p><p class="body-3-medium-italic homepage-intro__featured-work-authors">Hannah Ritchie and Pablo Rosado</p></a><a href="/half-child-deaths-linked-malnutrition" class="homepage-intro__featured-tile"><picture class=""><source srcSet="/images/published/half-child-deaths-linked-malnutrition-thumbnail_48.png 48w, /images/published/half-child-deaths-linked-malnutrition-thumbnail_100.png 100w, /images/published/half-child-deaths-linked-malnutrition-thumbnail_350.png 350w, /images/published/half-child-deaths-linked-malnutrition-thumbnail_850.png 850w, /images/published/half-child-deaths-linked-malnutrition-thumbnail_1200.png 1200w" type="image/png" sizes="350px"/><img src="/images/published/half-child-deaths-linked-malnutrition-thumbnail.png" alt="" class="" loading="lazy" width="1200" height="630"/></picture><span class="h6-black-caps homepage-intro__featured-work-kicker">Article · 8 min read</span><p class="homepage-intro__featured-work-title">Half of all child deaths are linked to malnutrition</p><p class="homepage-intro__featured-work-description">Improving the nutrition of mothers and children could save many lives at a relatively low cost.</p><p class="body-3-medium-italic homepage-intro__featured-work-authors">Hannah Ritchie</p></a></div><div class="homepage-intro__tertiary-tiles span-cols-6 grid grid-cols-6"><a href="/cost-effectiveness" class="homepage-intro__featured-tile span-cols-3"><picture class=""><source srcSet="/images/published/DCP-3-Data-on-Cost-Effectivness_thumbnail_48.png 48w, /images/published/DCP-3-Data-on-Cost-Effectivness_thumbnail_100.png 100w, /images/published/DCP-3-Data-on-Cost-Effectivness_thumbnail_350.png 350w, /images/published/DCP-3-Data-on-Cost-Effectivness_thumbnail_850.png 850w, /images/published/DCP-3-Data-on-Cost-Effectivness_thumbnail_1200.png 1200w" type="image/png" sizes="350px"/><img src="/images/published/DCP-3-Data-on-Cost-Effectivness_thumbnail.png" alt="" class="" loading="lazy" width="1200" height="630"/></picture><span class="h6-black-caps homepage-intro__featured-work-kicker">Article · 11 min read</span><p class="homepage-intro__featured-work-title">Many of us can save a child’s life, if we rely on the best data</p><p class="homepage-intro__featured-work-description">There are many ways to improve the world, but their cost-effectiveness varies immensely. You can achieve a lot more if you rely on the best data on where to donate.</p><p class="body-3-medium-italic homepage-intro__featured-work-authors">Max Roser</p></a><a href="/antipsychotic-medications-timeline" class="homepage-intro__featured-tile span-cols-3"><picture class=""><source srcSet="/images/published/antipsychotics-timeline-thumbnail_48.png 48w, /images/published/antipsychotics-timeline-thumbnail_100.png 100w, /images/published/antipsychotics-timeline-thumbnail_350.png 350w, /images/published/antipsychotics-timeline-thumbnail_850.png 850w, /images/published/antipsychotics-timeline-thumbnail_1350.png 1350w, /images/published/antipsychotics-timeline-thumbnail_5000.png 5000w" type="image/png" sizes="350px"/><img src="/images/published/antipsychotics-timeline-thumbnail.png" alt="" class="" loading="lazy" width="5000" height="2625"/></picture><span class="h6-black-caps homepage-intro__featured-work-kicker">Article · 9 min read</span><p class="homepage-intro__featured-work-title">Antipsychotic medications: a timeline of innovations and remaining challenges</p><p class="homepage-intro__featured-work-description">Scientists have developed effective and safer antipsychotic medications, but much improvement is still needed.</p><p class="body-3-medium-italic homepage-intro__featured-work-authors">Saloni Dattani</p></a></div><div class="span-cols-6 homepage-intro__see-all-work-button-container"><a class="owid-btn owid-btn--outline-vermillion body-3-medium homepage-intro__see-all-work-button" href="/latest">See all our latest work <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></a></div></div><div class="span-cols-6 span-sm-cols-12"><a class="owid-btn owid-btn--outline-vermillion body-3-medium homepage-intro__see-all-work-button homepage-intro__see-all-work-button--mobile" href="/latest">See all our latest work <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></a></div></section></section><section class="article-block__latest-data-insights grid grid-cols-12-full-width span-cols-14 latest-data-insights-block"><header class="latest-data-insights-block__header span-cols-8 col-start-2 span-sm-cols-12 col-sm-start-2"><h2 class="h2-bold">Daily Data Insights</h2><p class="body-2-regular">Bite-sized insights on how the world is changing, published every weekday.</p></header><a class="owid-btn owid-btn--outline-vermillion latest-data-insights-block__see-all-data-insights-button body-3-medium span-cols-4 col-start-10 span-sm-cols-12 col-sm-start-2" href="/data-insights">See all Daily Data Insights <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></a><div class="latest-data-insights span-cols-12 col-start-2"><div class="latest-data-insights__viewport"><div class="latest-data-insights__card-container"><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/china-child-mortality-mobile_48.png 48w, /images/published/china-child-mortality-mobile_100.png 100w, /images/published/china-child-mortality-mobile_350.png 350w, /images/published/china-child-mortality-mobile_850.png 850w, /images/published/china-child-mortality-mobile_1350.png 1350w, /images/published/china-child-mortality-mobile_2160.png 2160w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/china-child-mortality-desktop_48.png 48w, /images/published/china-child-mortality-desktop_100.png 100w, /images/published/china-child-mortality-desktop_350.png 350w, /images/published/china-child-mortality-desktop_850.png 850w, /images/published/china-child-mortality-desktop_1350.png 1350w, /images/published/china-child-mortality-desktop_3400.png 3400w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/china-child-mortality-desktop.png" alt="Line chart showing the child mortality rate in China, and globally since 1950." class="" loading="lazy" width="3400" height="2400"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline data-insight-dateline--is-today"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>Today</p><h3 class="latest-data-insights__card-title">China’s Great Leap Forward caused a dramatic spike in child deaths</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Child mortality rates in China have fallen from more than 20% in 1950 to less than 1% today.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>But this steady progress was interrupted in the late 1950s during the “</span><span><span>Great Leap Forward</span></span><span>”. This was China’s national plan to industrialize rapidly, but it resulted in widespread famine and economic turmoil.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>As the chart shows, child mortality rates spiked in China over this period. This change was so dramatic that it is also clearly visible in the global trend. This data comes from the </span><span><span>UN’s World Population Prospects</span></span><span>.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span><span>Explore this data</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#second-most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/death-rate-from-drug-use-disorders-slope-mobile_48.png 48w, /images/published/death-rate-from-drug-use-disorders-slope-mobile_100.png 100w, /images/published/death-rate-from-drug-use-disorders-slope-mobile_350.png 350w, /images/published/death-rate-from-drug-use-disorders-slope-mobile_850.png 850w, /images/published/death-rate-from-drug-use-disorders-slope-mobile_1080.png 1080w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/death-rate-from-drug-use-disorders-slope-desktop_48.png 48w, /images/published/death-rate-from-drug-use-disorders-slope-desktop_100.png 100w, /images/published/death-rate-from-drug-use-disorders-slope-desktop_350.png 350w, /images/published/death-rate-from-drug-use-disorders-slope-desktop_850.png 850w, /images/published/death-rate-from-drug-use-disorders-slope-desktop_1350.png 1350w, /images/published/death-rate-from-drug-use-disorders-slope-desktop_3400.png 3400w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/death-rate-from-drug-use-disorders-slope-desktop.png" alt="This chart titled “Drug use disorder death rate” shows the estimated annual number of deaths from drug use disorders per 100,000 people from 2000 to 2021, highlighting the sharp increase in North America. The data is represented for Canada and the United States, indicated by red lines, compared to other regions in lighter colors.

	•	In 2000, the United States had a drug use disorder death rate of 5 per 100,000 people, which increased significantly to 31.8 per 100,000 by 2021.
	•	Canada’s rate was 2.9 per 100,000 in 2000, rising to 19.2 per 100,000 in 2021.
	•	Other regions shown in the background have relatively stable and lower death rates from drug use disorders.

Data source: World Health Organization (2024). " class="" loading="lazy" width="3400" height="2400"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>Yesterday</p><h3 class="latest-data-insights__card-title">Since 2000, deaths from drug use have increased six-fold in North America</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Drug-related death rates have increased six-fold in Canada and the United States over two decades, according to recent data from the World Health Organization’s </span><span><span>Global Health Estimates</span></span><span>. We have just updated our charts with the latest 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>In 2000, drug-related death rates in Canada and the United States were reasonably similar to rates in other countries. But since then, deaths from drugs, particularly </span><span><span>opioids</span></span><span>, 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>Opioids include prescription painkillers like OxyContin and Vicodin, synthetic opioids like fentanyl, and drugs like heroin.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Over recent years, opioids have become common in the management of chronic pain, and they’ve become much easier to access on the illicit drug 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><span>Explore data on deaths from drug use and other health issues in our Global Health Explorer</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#third-most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/births-attended-by-health-staff-sdgs-mobile_48.png 48w, /images/published/births-attended-by-health-staff-sdgs-mobile_100.png 100w, /images/published/births-attended-by-health-staff-sdgs-mobile_350.png 350w, /images/published/births-attended-by-health-staff-sdgs-mobile_850.png 850w, /images/published/births-attended-by-health-staff-sdgs-mobile_1350.png 1350w, /images/published/births-attended-by-health-staff-sdgs-mobile_2160.png 2160w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/births-attended-by-health-staff-sdgs-desktop_48.png 48w, /images/published/births-attended-by-health-staff-sdgs-desktop_100.png 100w, /images/published/births-attended-by-health-staff-sdgs-desktop_350.png 350w, /images/published/births-attended-by-health-staff-sdgs-desktop_850.png 850w, /images/published/births-attended-by-health-staff-sdgs-desktop_1350.png 1350w, /images/published/births-attended-by-health-staff-sdgs-desktop_3400.png 3400w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/births-attended-by-health-staff-sdgs-desktop.png" alt="" class="" loading="lazy" width="3400" height="2400"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>September 17</p><h3 class="latest-data-insights__card-title">Less than half of births are attended by skilled health staff in some of the poorest countries</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Skilled health staff can </span><span><span>reduce the risk</span></span><span> of mothers and infants dying during childbirth.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>In most countries, almost all births are now attended by trained health professionals. But as you can see on the map, this is the case for less than half of births in some of the world’s poorest countries.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>This is based on data from Demographic and Health Surveys and UNICEF. Note that this doesn’t mean births in these countries aren’t attended by </span><em><span>any</span></em><span> skilled staff; it simply measures staff with professional medical training.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Improving access to essential healthcare and services could help reduce </span><span><span>maternal</span></span><span> and </span><span><span>infant mortality</span></span><span> 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><span>Explore the data</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#fourth-most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/probability-of-dying-that-year-among-females-of-a-given-age-mobile2_48.png 48w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-mobile2_100.png 100w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-mobile2_350.png 350w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-mobile2_850.png 850w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-mobile2_1350.png 1350w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-mobile2_2160.png 2160w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2_48.png 48w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2_100.png 100w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2_350.png 350w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2_850.png 850w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2_1350.png 1350w, /images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2_3400.png 3400w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/probability-of-dying-that-year-among-females-of-a-given-age-desktop2.png" alt="" class="" loading="lazy" width="3400" height="2400"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>September 16</p><h3 class="latest-data-insights__card-title">Infants used to have a higher risk of dying than 80-year-olds</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Infancy used to be an extremely dangerous time of life.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>As the chart shows, around 20% of girls in Sweden died before their first birthday in the 18th century. This was higher than the risk among 80-year-olds — at that age, 10% to 20% died each year.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Since then, the risk of dying has </span><span><span>reduced across all ages</span></span><span>, but the reduction has been most profound for infants. Rates have fallen 100-fold.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>This progress has come from improvements in hygiene, clean water and sanitation, vaccination, nutrition, neonatal healthcare, and surgery.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>The data comes from the Human Mortality Database and the United Nations World Population Prospects. I’ve shown data from Sweden, which has the longest historical records, stretching back to the 1750s.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span><span>Explore the same data for many more countries</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#fifth-most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/Chile-solar-DI-mobile_color-update_48.png 48w, /images/published/Chile-solar-DI-mobile_color-update_100.png 100w, /images/published/Chile-solar-DI-mobile_color-update_350.png 350w, /images/published/Chile-solar-DI-mobile_color-update_850.png 850w, /images/published/Chile-solar-DI-mobile_color-update_1350.png 1350w, /images/published/Chile-solar-DI-mobile_color-update_2160.png 2160w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/Chile-solar-DI_color-update_48.png 48w, /images/published/Chile-solar-DI_color-update_100.png 100w, /images/published/Chile-solar-DI_color-update_350.png 350w, /images/published/Chile-solar-DI_color-update_850.png 850w, /images/published/Chile-solar-DI_color-update_1350.png 1350w, /images/published/Chile-solar-DI_color-update_3400.png 3400w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/Chile-solar-DI_color-update.png" alt="Chart shows the share of primary energy consumption from solar energy from 2000 to 2023, measured as a percentage of primary energy using the substitution method. It highlights that Chile, Spain, and Australia have seen the most significant increases, particularly after 2015, with Chile leading by 2023. China, the United States, and the global average have also increased but at a slower pace. The data source is the Energy Institute’s Statistical Review of World Energy (2024)." class="" loading="lazy" width="3400" height="2400"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>September 13</p><h3 class="latest-data-insights__card-title">Chile produced 9.4% of its primary energy from solar in 2023 — the highest in any country that year</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>According to the Energy Institute’s Statistical Review of World Energy, in 2023, Chile produced 9.4% of its primary energy from solar sources, the highest share in any country. When we </span><span><span>look at</span></span><span> electricity alone, solar produced 20% of the total.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>This marks a trend of continued year-on-year growth in a country that, just a decade earlier, generated almost no electricity from solar.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Chile&#x27;s growth has been faster than that of other solar champions like Spain and Australia, where the adoption of these technologies started earlier.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Much of Chile&#x27;s solar energy is captured in the Atacama Desert. This region, in Northern Chile, receives the </span><span><span>highest level of sunlight exposure in the world</span></span><span> and is home to </span><span><span>Latin America’s first solar thermal plant</span></span><span>.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span><span>Explore data on energy production and sources, country by country</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#sixth-most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/di-net-migration-in-venezuela-square_48.png 48w, /images/published/di-net-migration-in-venezuela-square_100.png 100w, /images/published/di-net-migration-in-venezuela-square_350.png 350w, /images/published/di-net-migration-in-venezuela-square_850.png 850w, /images/published/di-net-migration-in-venezuela-square_1350.png 1350w, /images/published/di-net-migration-in-venezuela-square_2160.png 2160w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/di-net-migration-in-venezuela-rectangle_48.png 48w, /images/published/di-net-migration-in-venezuela-rectangle_100.png 100w, /images/published/di-net-migration-in-venezuela-rectangle_350.png 350w, /images/published/di-net-migration-in-venezuela-rectangle_850.png 850w, /images/published/di-net-migration-in-venezuela-rectangle_1350.png 1350w, /images/published/di-net-migration-in-venezuela-rectangle_1696.png 1696w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/di-net-migration-in-venezuela-rectangle.png" alt="Venezuelan migration: a major demographic shift in South America" class="" loading="lazy" width="1696" height="1288"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>September 12</p><h3 class="latest-data-insights__card-title">Venezuelan migration: a major demographic shift in South America</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>The chart shows net migration trends for Venezuela, Peru, Chile, and Colombia from 1950 to 2023. This is the net difference between immigrants coming into a country and emigrants leaving. This data published by the UN World Population Prospects shows how significant this demographic event is in the region’s recent history.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Starting around 2015, Venezuela&#x27;s net migration dropped sharply, with a record 1.36 million people emigrating in 2018. The timing of this shift, accelerating from 2015 onwards, coincides with Venezuela&#x27;s worsening </span><span><span>economic</span></span><span> and </span><span><span>political instability</span></span><span>.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>At the same time, wealthier countries like Peru, Chile, and Colombia experienced significant increases in net migration, which suggests they have become major destinations for Venezuelan migrants. This trend is even clearer when visualizing </span><span><span>where immigrants from Venezuela moved to</span></span><span>.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span><span>Explore net migration patterns in other countries</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a><a class="latest-data-insights__card latest-data-insights__card__data-insight" href="/data-insights#seventh-most-recent-data-insight"><picture class="latest-data-insights__card-left"><source media="(max-width: 768px)" srcSet="/images/published/world-safe-sanitation-mobile_48.png 48w, /images/published/world-safe-sanitation-mobile_100.png 100w, /images/published/world-safe-sanitation-mobile_350.png 350w, /images/published/world-safe-sanitation-mobile_850.png 850w, /images/published/world-safe-sanitation-mobile_1350.png 1350w, /images/published/world-safe-sanitation-mobile_2160.png 2160w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><source srcSet="/images/published/world-safe-sanitation-desktop_48.png 48w, /images/published/world-safe-sanitation-desktop_100.png 100w, /images/published/world-safe-sanitation-desktop_350.png 350w, /images/published/world-safe-sanitation-desktop_850.png 850w, /images/published/world-safe-sanitation-desktop_1350.png 1350w, /images/published/world-safe-sanitation-desktop_3400.png 3400w" type="image/png" sizes="(max-width: 960px) 95vw, (min-width: 960px) 533px"/><img src="/images/published/world-safe-sanitation-desktop.png" alt="Line chart showing the change in the share of the global population that has access to safe sanitation." class="" loading="lazy" width="3400" height="2400"/></picture><div class="latest-data-insights__card-right"><p class="data-insight-dateline latest-data-insights__card-dateline"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="calendar-day" class="svg-inline--fa fa-calendar-day data-insight-dateline__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"></path></svg>September 11</p><h3 class="latest-data-insights__card-title">Less than 60% of the world has access to safe sanitation</h3><div class="latest-data-insights__card-body"><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Unsafe sanitation is responsible for </span><span><span>hundreds of thousands of deaths</span></span><span> each year. It increases the risk of many fatal diseases, including cholera, diarrhea, dysentery, hepatitis A, typhoid, and polio.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Unfortunately, over 40% of the world does not have access to safe sanitation facilities. This is based on estimates from the WHO/UNICEF’s </span><span><span>Joint Monitoring Programme for Water Supply, Sanitation and Hygiene</span></span><span>.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>The chart shows the share of the global population that has access to safe sanitation over time. While rates have increased, particularly over the last decade, they still fall far short of the UN’s target of universal access in 2030.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span>Increasing access to safe sanitation would save many lives from preventable infectious diseases.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span><span>Explore the data</span></span><span> →</span></p></div><div class="latest-data-insights__card-continue"><span class="body-3-medium-underlined">Continue reading</span> <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" style="font-size:10px"><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></div></a></div></div><div class="latest-data-insights__control-dots"></div></div><div class="data-insights-newsletter grid grid-cols-12-full-width span-cols-14"><div class="data-insights-newsletter__inner span-cols-12 col-start-2"><div class="data-insights-newsletter__left"><svg class="data-insights-newsletter__icon" width="48" height="48" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="24" cy="24" r="24" fill="#DBE5F0"></circle><rect x="11.2676" y="19.3955" width="25.4664" height="17.3389" rx="2.70925" fill="white"></rect><rect x="15.0605" y="11.8096" width="17.8807" height="13.0041" fill="white"></rect><path d="M11.268 21.107C11.2238 21.2788 11.2002 21.4564 11.2002 21.6383V34.1352C11.2002 34.6771 11.364 35.1768 11.6391 35.5977L20.1865 28.5774L11.2685 21.107H11.268Z" fill="#46688F"></path><path d="M36.731 21.1088L27.8145 28.5774L36.3612 35.5972C36.6386 35.1758 36.8002 34.675 36.8002 34.1352V21.6383C36.8002 21.4575 36.7756 21.2798 36.7303 21.1087L36.731 21.1088Z" fill="#46688F"></path><path d="M15.467 12.8C15.467 12.5061 15.7059 12.2667 16.0004 12.2667H32.0016C32.296 12.2667 32.5349 12.5061 32.5349 12.8V23.2089L36.2026 20.1367C36.098 20.0268 35.9881 19.9207 35.8618 19.8316L33.6018 18.0528V12.8001C33.6018 11.9179 32.8839 11.2 32.0017 11.2H16.0005C15.1183 11.2 14.4004 11.9179 14.4004 12.8001V18.0528L12.1656 19.8129C12.0301 19.9078 11.9122 20.0204 11.8008 20.1377L15.4673 23.2088L15.467 12.8Z" fill="#46688F"></path><path d="M22.9858 27.6593L12.3945 36.358C12.8186 36.638 13.3247 36.8022 13.8678 36.8022H34.1359C34.6805 36.8022 35.1855 36.6358 35.6069 36.3563L25.018 27.6591C24.4292 27.1752 23.5747 27.1752 22.9864 27.6591L22.9858 27.6593Z" fill="#46688F"></path><path d="M20.0727 15.9336C20.3605 15.9336 20.6145 16.1876 20.6145 16.4754V22.1643C20.6145 22.3167 20.733 22.4352 20.8853 22.4352H27.6578C27.9456 22.4352 28.1996 22.6892 28.1996 22.977C28.1996 23.2818 27.9456 23.5188 27.6578 23.5188H20.8853C20.1234 23.5188 19.5309 22.9262 19.5309 22.1643V16.4754C19.5309 16.1876 19.7679 15.9336 20.0727 15.9336ZM22.2398 19.1844C22.5277 19.1844 22.7816 19.4384 22.7816 19.7262V20.8098C22.7816 21.1146 22.5277 21.3516 22.2398 21.3516C21.9351 21.3516 21.698 21.1146 21.698 20.8098V19.7262C21.698 19.4384 21.9351 19.1844 22.2398 19.1844ZM24.407 18.1008V20.8098C24.407 21.1146 24.1531 21.3516 23.8652 21.3516C23.5605 21.3516 23.3234 21.1146 23.3234 20.8098V18.1008C23.3234 17.813 23.5605 17.559 23.8652 17.559C24.1531 17.559 24.407 17.813 24.407 18.1008ZM25.4906 18.6426C25.7784 18.6426 26.0324 18.8966 26.0324 19.1844V20.8098C26.0324 21.1146 25.7784 21.3516 25.4906 21.3516C25.1859 21.3516 24.9488 21.1146 24.9488 20.8098V19.1844C24.9488 18.8966 25.1859 18.6426 25.4906 18.6426ZM27.6578 17.0172V20.8098C27.6578 21.1146 27.4038 21.3516 27.116 21.3516C26.8112 21.3516 26.5742 21.1146 26.5742 20.8098V17.0172C26.5742 16.7294 26.8112 16.4754 27.116 16.4754C27.4038 16.4754 27.6578 16.7294 27.6578 17.0172Z" fill="#98A9BD"></path></svg><div class="data-insights-newsletter__left__text"><h3 class="data-insights-newsletter__heading h3-bold">Get Daily Data Insights delivered to your inbox</h3><p class="data-insights-newsletter__description body-3-medium">Receive an email from us when we publish a Daily Data Insight (every weekday).</p></div></div><div class="data-insights-newsletter__right"><form class="data-insights-newsletter__form" action="https://ourworldindata.us8.list-manage.com/subscribe/post?u=18058af086319ba6afad752ec&amp;id=2e166c1fc1" method="post" target="_blank"><input type="email" class="text-input data-insights-newsletter__email-input" name="EMAIL" required="" size="1" placeholder="Your email address"/><input type="hidden" name="group[85302][16]" value=""/><button class="owid-btn owid-btn--solid-vermillion">Subscribe </button></form><p class="data-insights-newsletter__note note-1-medium">By subscribing you are agreeing to the terms of our <a href="/privacy-policy">privacy policy</a>.</p></div></div></div></section><section class="key-indicator-collection article-block__key-indicator-collection grid col-start-2 span-cols-12"><header class="key-indicator-collection__header span-cols-8 span-sm-cols-12"><h2 class="h2-bold">Explore our data</h2><p class="body-2-regular">Featured data from our collection of more than 13,100 interactive charts.</p></header><a class="owid-btn owid-btn--outline-vermillion key-indicator-collection__all-charts-button body-3-medium span-cols-4 col-start-9 col-sm-start-1 span-sm-cols-12" href="/charts">See all our data <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></a><div class="span-cols-12"><div class="accordion-item accordion-item--open"><h3 class="accordion-item__heading"><button id="key-indicator-collection_child-mortality_header" class="accordion-item__button" disabled="" aria-disabled="true" aria-expanded="true" aria-controls="key-indicator-collection_child-mortality_content"><div class="key-indicator-header"><div class="key-indicator-header__left"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line key-indicator-header__tab-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 64V400c0 44.2 35.8 80 80 80H480c17.7 0 32-14.3 32-32s-14.3-32-32-32H80c-8.8 0-16-7.2-16-16V64zm406.6 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><div><span class="key-indicator-header__title">Under-five mortality rate</span><span class="key-indicator-header__source">Long-run estimates combining data from UN &amp; Gapminder</span></div></div></div></button></h3><div id="key-indicator-collection_child-mortality_content" class="accordion-item__content" role="region" aria-labelledby="key-indicator-collection_child-mortality_header"><div tabindex="0" aria-hidden="false"><div class="key-indicator grid grid-cols-12"><div class="left col-start-1 span-cols-4 span-sm-cols-12"><div class="indicator-metadata"><span class="indicator-title">Under-five mortality rate</span> <span class="indicator-source">Long-run estimates combining data from un &amp; gapminder</span></div><h4 class="narrative-title">What share of children die before their fifth birthday?</h4><div class="text"><p class=""><span>What could be more tragic than the death of a young child? Child mortality, the death of children under the age of five, is still </span><a href="https://ourworldindata.org/much-better-awful-can-be-better" class="span-link" target="_blank" rel="noopener noreferrer"><span>extremely common</span></a><span> in our world today.</span></p><p class=""><span>The historical data makes clear that it doesn’t have to be this way: it </span><a href="https://ourworldindata.org/child-mortality-big-problem-in-brief" class="span-link" target="_blank" rel="noopener noreferrer"><span>is possible</span></a><span> for societies to protect their children and reduce child mortality to very low rates. For child mortality to reach low levels, many things have to go right at the same time: </span><a href="https://ourworldindata.org/financing-healthcare" class="span-link" target="_blank" rel="noopener noreferrer"><span>good healthcare</span></a><span>, </span><a href="https://ourworldindata.org/hunger-and-undernourishment" class="span-link" target="_blank" rel="noopener noreferrer"><span>good nutrition</span></a><span>, </span><a href="https://ourworldindata.org/clean-water-sanitation" class="span-link" target="_blank" rel="noopener noreferrer"><span>clean water and sanitation</span></a><span>, </span><a href="https://ourworldindata.org/maternal-mortality" class="span-link" target="_blank" rel="noopener noreferrer"><span>maternal health</span></a><span>, and high </span><a href="https://ourworldindata.org/economic-growth" class="span-link" target="_blank" rel="noopener noreferrer"><span>living standards</span></a><span>. We can, therefore, think of </span><a href="https://ourworldindata.org/child-mortality" class="span-link" target="_blank" rel="noopener noreferrer"><span>child mortality</span></a><span> as a proxy indicator of a country’s living conditions.</span></p><p class=""><span>The chart shows our long-run data on child mortality, which allows you to see how child mortality has changed in countries around the world.</span></p></div><a class="owid-btn owid-btn--solid-blue datapage-link datapage-link-desktop" href="https://ourworldindata.org/grapher/child-mortality?time=earliest..latest">Explore and learn more about this data <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></a></div><div class="key-indicator-chart col-start-5 span-cols-8 span-sm-cols-12 margin-0"><figure class="grapherPreview chart" data-grapher-src="https://ourworldindata.org/grapher/child-mortality?time=earliest..latest" data-grapher-config="{}" style="width:100%;border:0px none"><a href="https://ourworldindata.org/grapher/child-mortality?time=earliest..latest" target="_blank" rel="noopener"><img class="GrapherImage" src="https://assets.ourworldindata.org/grapher/exports/child-mortality.svg" width="850" height="600" loading="lazy" data-no-lightbox="true"/><div class="interactionNotice"><span class="icon"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="hand-pointer" class="svg-inline--fa fa-hand-pointer fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 617">
    <path fill="currentColor" d="M448,344.59v96a40.36,40.36,0,0,1-1.06,9.16l-32,136A40,40,0,0,1,376,616.59H168a40,40,0,0,1-32.35-16.47l-128-176a40,40,0,0,1,64.7-47.06L104,420.58v-276a40,40,0,0,1,80,0v200h8v-40a40,40,0,1,1,80,0v40h8v-24a40,40,0,1,1,80,0v24h8a40,40,0,1,1,80,0Zm-256,80h-8v96h8Zm88,0h-8v96h8Zm88,0h-8v96h8Z" transform="translate(0 -0.41)"/>
    <path fill="currentColor" opacity="0.6" d="M239.76,234.78A27.5,27.5,0,0,1,217,192a87.76,87.76,0,1,0-145.9,0A27.5,27.5,0,1,1,25.37,222.6,142.17,142.17,0,0,1,1.24,143.17C1.24,64.45,65.28.41,144,.41s142.76,64,142.76,142.76a142.17,142.17,0,0,1-24.13,79.43A27.47,27.47,0,0,1,239.76,234.78Z" transform="translate(0 -0.41)"/>
</svg></span><span class="label">Click to open interactive version</span></div></a></figure></div><a class="owid-btn owid-btn--solid-blue datapage-link datapage-link-mobile col-start-1 span-cols-12" href="https://ourworldindata.org/grapher/child-mortality?time=earliest..latest">Explore and learn more about this data <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></a></div></div></div></div><div class="accordion-item accordion-item--closed"><h3 class="accordion-item__heading"><button id="key-indicator-collection_share-of-population-in-extreme-poverty_header" class="accordion-item__button" aria-disabled="false" aria-expanded="false" aria-controls="key-indicator-collection_share-of-population-in-extreme-poverty_content"><div class="key-indicator-header"><div class="key-indicator-header__left"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="earth-americas" class="svg-inline--fa fa-earth-americas key-indicator-header__tab-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M57.7 193l9.4 16.4c8.3 14.5 21.9 25.2 38 29.8L163 255.7c17.2 4.9 29 20.6 29 38.5v39.9c0 11 6.2 21 16 25.9s16 14.9 16 25.9v39c0 15.6 14.9 26.9 29.9 22.6c16.1-4.6 28.6-17.5 32.7-33.8l2.8-11.2c4.2-16.9 15.2-31.4 30.3-40l8.1-4.6c15-8.5 24.2-24.5 24.2-41.7v-8.3c0-12.7-5.1-24.9-14.1-33.9l-3.9-3.9c-9-9-21.2-14.1-33.9-14.1H257c-11.1 0-22.1-2.9-31.8-8.4l-34.5-19.7c-4.3-2.5-7.6-6.5-9.2-11.2c-3.2-9.6 1.1-20 10.2-24.5l5.9-3c6.6-3.3 14.3-3.9 21.3-1.5l23.2 7.7c8.2 2.7 17.2-.4 21.9-7.5c4.7-7 4.2-16.3-1.2-22.8l-13.6-16.3c-10-12-9.9-29.5 .3-41.3l15.7-18.3c8.8-10.3 10.2-25 3.5-36.7l-2.4-4.2c-3.5-.2-6.9-.3-10.4-.3C163.1 48 84.4 108.9 57.7 193zM464 256c0-36.8-9.6-71.4-26.4-101.5L412 164.8c-15.7 6.3-23.8 23.8-18.5 39.8l16.9 50.7c3.5 10.4 12 18.3 22.6 20.9l29.1 7.3c1.2-9 1.8-18.2 1.8-27.5zM0 256a256 256 0 1 1 512 0A256 256 0 1 1 0 256z"></path></svg><div><span class="key-indicator-header__title">Share of population living in extreme poverty</span><span class="key-indicator-header__source">World Bank</span></div></div><div><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="plus" class="svg-inline--fa fa-plus key-indicator-header__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M256 80c0-17.7-14.3-32-32-32s-32 14.3-32 32V224H48c-17.7 0-32 14.3-32 32s14.3 32 32 32H192V432c0 17.7 14.3 32 32 32s32-14.3 32-32V288H400c17.7 0 32-14.3 32-32s-14.3-32-32-32H256V80z"></path></svg><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right key-indicator-header__icon" 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></div></button></h3><a class="accordion-item__link-mobile" href="https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty"><div class="key-indicator-header"><div class="key-indicator-header__left"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="earth-americas" class="svg-inline--fa fa-earth-americas key-indicator-header__tab-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M57.7 193l9.4 16.4c8.3 14.5 21.9 25.2 38 29.8L163 255.7c17.2 4.9 29 20.6 29 38.5v39.9c0 11 6.2 21 16 25.9s16 14.9 16 25.9v39c0 15.6 14.9 26.9 29.9 22.6c16.1-4.6 28.6-17.5 32.7-33.8l2.8-11.2c4.2-16.9 15.2-31.4 30.3-40l8.1-4.6c15-8.5 24.2-24.5 24.2-41.7v-8.3c0-12.7-5.1-24.9-14.1-33.9l-3.9-3.9c-9-9-21.2-14.1-33.9-14.1H257c-11.1 0-22.1-2.9-31.8-8.4l-34.5-19.7c-4.3-2.5-7.6-6.5-9.2-11.2c-3.2-9.6 1.1-20 10.2-24.5l5.9-3c6.6-3.3 14.3-3.9 21.3-1.5l23.2 7.7c8.2 2.7 17.2-.4 21.9-7.5c4.7-7 4.2-16.3-1.2-22.8l-13.6-16.3c-10-12-9.9-29.5 .3-41.3l15.7-18.3c8.8-10.3 10.2-25 3.5-36.7l-2.4-4.2c-3.5-.2-6.9-.3-10.4-.3C163.1 48 84.4 108.9 57.7 193zM464 256c0-36.8-9.6-71.4-26.4-101.5L412 164.8c-15.7 6.3-23.8 23.8-18.5 39.8l16.9 50.7c3.5 10.4 12 18.3 22.6 20.9l29.1 7.3c1.2-9 1.8-18.2 1.8-27.5zM0 256a256 256 0 1 1 512 0A256 256 0 1 1 0 256z"></path></svg><div><span class="key-indicator-header__title">Share of population living in extreme poverty</span><span class="key-indicator-header__source">World Bank</span></div></div><div><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="plus" class="svg-inline--fa fa-plus key-indicator-header__icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M256 80c0-17.7-14.3-32-32-32s-32 14.3-32 32V224H48c-17.7 0-32 14.3-32 32s14.3 32 32 32H192V432c0 17.7 14.3 32 32 32s32-14.3 32-32V288H400c17.7 0 32-14.3 32-32s-14.3-32-32-32H256V80z"></path></svg><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right key-indicator-header__icon" 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></div></a><div id="key-indicator-collection_share-of-population-in-extreme-poverty_content" class="accordion-item__content" style="height:0" role="region" aria-labelledby="key-indicator-collection_share-of-population-in-extreme-poverty_header"><div tabindex="-1" aria-hidden="true"><div class="key-indicator grid grid-cols-12"><div class="left col-start-1 span-cols-4 span-sm-cols-12"><div class="indicator-metadata"><span class="indicator-title">Share of population living in extreme poverty</span> <span class="indicator-source">World bank</span></div><h4 class="narrative-title">What share of the population lives in extreme poverty?</h4><div class="text"><p class=""><span>The UN sets the “International Poverty Line” as a worldwide comparable definition for extreme poverty. Extreme poverty is currently defined as living on less than $2.15 per day. This indicator, published by the World Bank, has successfully drawn attention to the terrible depths of poverty of the poorest people in the world.</span></p><p class=""><span>Two centuries ago, </span><a href="https://ourworldindata.org/extreme-poverty-in-brief" class="span-link" target="_blank" rel="noopener noreferrer"><span>the majority</span></a><span> of the world’s population was extremely poor. Back then, it was widely believed that widespread poverty was inevitable. This turned out to be wrong. Economic growth is possible and </span><a href="https://ourworldindata.org/what-is-economic-growth" class="span-link" target="_blank" rel="noopener noreferrer"><span>makes it possible</span></a><span> for entire societies to leave the deep poverty of the past behind. Whether or not countries are leaving the worst poverty behind can be monitored by relying on this indicator.</span></p></div><a class="owid-btn owid-btn--solid-blue datapage-link datapage-link-desktop" href="https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty">Explore and learn more about this data <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></a></div><div class="key-indicator-chart col-start-5 span-cols-8 span-sm-cols-12 margin-0"><figure class="grapherPreview chart" data-grapher-src="https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty" data-grapher-config="{}" style="width:100%;border:0px none"><a href="https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty" target="_blank" rel="noopener"><img class="GrapherImage" src="https://assets.ourworldindata.org/grapher/exports/share-of-population-in-extreme-poverty.svg" width="850" height="600" loading="lazy" data-no-lightbox="true"/><div class="interactionNotice"><span class="icon"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="hand-pointer" class="svg-inline--fa fa-hand-pointer fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 617">
    <path fill="currentColor" d="M448,344.59v96a40.36,40.36,0,0,1-1.06,9.16l-32,136A40,40,0,0,1,376,616.59H168a40,40,0,0,1-32.35-16.47l-128-176a40,40,0,0,1,64.7-47.06L104,420.58v-276a40,40,0,0,1,80,0v200h8v-40a40,40,0,1,1,80,0v40h8v-24a40,40,0,1,1,80,0v24h8a40,40,0,1,1,80,0Zm-256,80h-8v96h8Zm88,0h-8v96h8Zm88,0h-8v96h8Z" transform="translate(0 -0.41)"/>
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