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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://country-profiles.owid.pages.dev/data-insights/</id>
<link type="text/html" rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights"/>
<link type="application/atom+xml" rel="self" href="https://country-profiles.owid.pages.dev/atom-data-insights.xml"/>
<updated>2025-11-29T04:00:00.000Z</updated>
<entry>
            <title><![CDATA[American homicide victims are mostly men, except when the killer is an intimate partner]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/american-homicide-victims-are-mostly-men-except-when-the-killer-is-an-intimate-partner</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/american-homicide-victims-are-mostly-men-except-when-the-killer-is-an-intimate-partner"/>
            <published>2025-11-29T04:00:00.000Z</published>
            <updated>2025-11-24T11:26:00.000Z</updated>
            <author><name>Simon van Teutem</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/953b3700-432d-4ea4-8085-c9da60606600/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/953b3700-432d-4ea4-8085-c9da60606600/w=1350" alt="The image presents a bar chart comparing the number of homicides per 100,000 population in 2023 for male and female victims across different regions. 

The title reads &quot;Most homicide victims are men,&quot; with a subtitle explaining the comparison. The regions listed from top to bottom are: 

- Latin America: Female victims at 4, male victims at 40
- Africa: Female victims at 4, male victims at 21
- Northern America: Female victims at 8.3, male victims at 11
- Oceania: Female victims at 5.9
- Europe: Female victims at 4.3
- Asia: Female victims at 3.9

The bars for female victims are shown in lighter colors, while those for male victims are darker. At the bottom, sources of the data are noted as UN WPP (2024) and UN ODC (2025), accompanied by a copyright indication of 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="">Almost 20,000 Americans were murdered 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="">The chart shows the homicide rates among male and female victims. Men were 2.7 times more likely to die by homicide than women.</span></p><p class="article-block__text 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 can see that for men, most of these murders were committed by friends, neighbors, acquaintances, or strangers (shown as “Other” in the chart) rather than a partner or family member. The opposite is true for women: intimate partners are the biggest threat.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Because the risks are different, the most effective responses may differ too. For women, reducing intimate partner violence is a key priority. For men, prevention is more often tied to crime, gangs, and violence among acquaintances or strangers.</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://country-profiles.owid.pages.dev/grapher/homicide-rate-unodc" class="span-link span-linked-chart"><span class="">Explore homicide rates for more countries.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[China’s fertility rate has fallen to one, continuing a long decline that began before and continued after the one-child policy]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/chinas-fertility-rate-has-fallen-to-one-continuing-a-long-decline-that-began-before-and-continued-after-the-one-child-policy</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/chinas-fertility-rate-has-fallen-to-one-continuing-a-long-decline-that-began-before-and-continued-after-the-one-child-policy"/>
            <published>2025-11-27T04:00:00.000Z</published>
            <updated>2025-11-24T11:25:52.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Edouard Mathieu</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/2991333d-fe60-4bf9-dc3d-367d76cb4b00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/2991333d-fe60-4bf9-dc3d-367d76cb4b00/w=1350" alt="China’s fertility rate has fallen to one, continuing a long decline that began before and continued after the one-child policy.

Line chart of China’s total fertility rate from 1950 to 2023, vertical axis labeled 0 to 7 births per woman. The chart shows a peak near 7 births per woman in the mid-1960s, followed by a sharp decline through the 1970s. The one-child policy is annotated as being rolled out in 1980 when the rate was already around 3 births per woman. After 1980 the rate continues downward, falling below 2 births per woman around the 1990s and staying at or below replacement level thereafter.

Data sources in the footer: Human Fertility Database; UN WPP (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="">The 1970s were a decade shaped by </span><a href="https://en.wikipedia.org/wiki/The_Population_Bomb" class="span-link"><span class="">fears about overpopulation</span></a><span class="">. As the world’s most populous country, China was never far from the debate. In 1979, China designed its </span><a href="https://en.wikipedia.org/wiki/One-child_policy" class="span-link"><span class="">one-child policy</span></a><span class="">, which was rolled out nationally from 1980 to curb population growth by limiting couples to having just one child.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">By this point, China’s fertility rate — the number of children per woman — had already fallen quickly in the early 1970s, as you can see 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 China’s one-child policy restricted many families, there were exceptions to the rule. Enforcement differed widely by province and between urban and rural areas. Many couples were allowed to have another baby if their first was a girl. Other couples paid a fine for having more than one. As a result, fertility rates never dropped close to 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="">In the last few years, despite the end of the one-child policy in 2016 and the government encouraging larger families, fertility rates </span><em><span class="">have</span></em><span class=""> dropped to one. The fall in fertility today is driven less by policy and </span><a href="https://link.springer.com/article/10.1007/s42379-024-00169-0" class="span-link"><span class="">more by</span></a><span class=""> social and economic changes.</span></p><p class="article-block__text 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 the </span><em><span class="">total</span></em><span class=""> fertility rate, which is also affected by women delaying when they have children. </span><a href="https://ourworldindata.org/period-versus-cohort-measures-whats-the-difference" class="span-link"><span class="">Cohort fertility</span></a><span class=""> tells us how many children the average woman will actually have over her lifetime. In China, this cohort figure is likely higher than one, but </span><a href="https://link.springer.com/article/10.1186/s12963-022-00290-7" class="span-link"><span class="">still low enough</span></a><span class=""> that the population will continue to shrink.</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/fertility-rate" class="span-link"><span class="">Explore more insights and data on changes in fertility rates across the world.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Seasonal flu kills about 700,000 people each year across the world]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/seasonal-flu-kills-about-700000-people-each-year-across-the-world</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/seasonal-flu-kills-about-700000-people-each-year-across-the-world"/>
            <published>2025-11-25T04:00:00.000Z</published>
            <updated>2025-11-24T08:16:32.000Z</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/e48b62c6-5b2e-4aa7-a902-b61dd2274800/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/e48b62c6-5b2e-4aa7-a902-b61dd2274800/w=1350" alt="Respiratory death rates from seasonal flu in older adults. World map showing estimated annual respiratory flu deaths per 100,000 people among adults aged 65+, average for the period 2002 to 2011. Highest rates are concentrated across much of sub-Saharan Africa, parts of South America (notably the southern cone), and South and Southeast Asia; lowest rates occur across Western Europe, North America, Russia, and Australia. Legend shows values from 0 to 90 per 100,000 in 10-unit increments; hatched areas indicate no data for some countries. Data source: Global Pandemic Mortality Project II (2019). License: CC BY. Note: Estimates do not include deaths from other complications of the flu, for example cardiovascular disease. Averages exclude the 2009 Swine flu pandemic." 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="">Seasonal influenza is sometimes seen as a mild illness, but it remains a major cause of death. In serious cases, it can cause deadly complications such as pneumonia, strokes, and heart attacks. Researchers estimate that the flu causes about 400,000 respiratory deaths and 300,000 cardiovascular deaths globally 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 class="">The flu is most dangerous for infants and older adults. The map here shows rates of respiratory deaths caused by the flu in adults aged 65 and over, averaged across 2002–2011 (excluding the 2009 Swine Flu pandemic).</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The data shows that death rates tend to be higher in South America, Africa, and South Asia than in Europe or North America.</span></p><p class="article-block__text 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 come from South America, and I found this surprising: most of what I hear about flu deaths tends to come from richer countries in the Northern Hemisphere. But the map shows that the flu is also deadly, in some cases even more so, in other regions where poverty, worse underlying health, limited access to healthcare, and lower vaccination coverage contribute to higher 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="">One explanation for my misperception might be that surveillance and reporting are stronger in the countries that I associate with deaths from flu. Another could also be age differences: people in high-income countries </span><a href="https://country-profiles.owid.pages.dev/grapher/population-by-age-group?stackMode=relative&amp;time=latest&amp;country=OWID_HIC~OWID_UMC~OWID_LMC~OWID_LIC" class="span-link span-linked-chart"><span class="">tend to be older</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class="">, so their total number of deaths — the ones you actually hear about — may still be higher, even if rates are lower.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">When you consider the </span><em><span class="">total</span></em><span class=""> death toll, you realize that the numbers are very large on the whole. Recall that the map only includes respiratory deaths, so the overall mortality is actually higher if we include other flu-related complications like cardiovascular disease.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Even if you account for the uncertainty of estimates in low-income countries — due to limited testing and death registration — the overall pattern remains striking: seasonal influenza kills hundreds of thousands each year, with many of these deaths in South America, Africa, and South Asia.</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/influenza-deaths" class="span-link"><span class="">Read more in our article, “How many people die from the flu?”</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[Afghans report the lowest life satisfaction in the world]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/afghans-report-the-lowest-life-satisfaction-in-the-world</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/afghans-report-the-lowest-life-satisfaction-in-the-world"/>
            <published>2025-11-22T04:00:00.000Z</published>
            <updated>2025-11-18T18:00:14.000Z</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/805e860d-9387-4815-9146-8f290f7eff00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/805e860d-9387-4815-9146-8f290f7eff00/w=1350" alt="Afghans say they are the least satisfied with their lives. Horizontal bar chart of average self-reported life-satisfaction ladder scores where 10 is the best possible life and 0 the worst. Highest scores: Finland 7.7, Denmark 7.5, Iceland 7.5, Sweden 7.3. Global average 5.3. Lowest scores: Malawi 3.3, Lebanon 3.2, Sierra Leone 3.0, Afghanistan 1.4. Data source: Wellbeing Research Centre (2025). Chart 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="">Measuring happiness is difficult, but one way to understand how satisfied people are with their lives is to simply ask 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="">Self-reported life satisfaction is one key metric that researchers often rely on. It asks people to imagine a hypothetical ladder, where the best possible life for them is a 10, and the worst possible life is a 0. They then have to place their current position on the ladder.</span></p><p class="article-block__text 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 three-year average scores from 2022 to 2024 for the four countries with the highest ratings and the four with the lowest.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Afghans reported the lowest life satisfaction in the world, far below any other country.</span></p><p class="article-block__text 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 incredibly low score has been replicated in other studies. Researchers </span><a href="https://www.science.org/doi/10.1126/sciadv.ads4156" class="span-link"><span class="">recently compared</span></a><span class=""> Afghans’ life satisfaction with international datasets dating back to 1946 and found it was the lowest ever recorded. Two-thirds gave a score of 0 or 1 on the 10-point scale.</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://country-profiles.owid.pages.dev/grapher/happiness-cantril-ladder" class="span-link span-linked-chart"><span class="">See self-reported levels of life satisfaction in your own country.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Women are more likely to be victims of partner homicide]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/women-are-more-likely-to-be-victims-of-partner-homicide</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/women-are-more-likely-to-be-victims-of-partner-homicide"/>
            <published>2025-11-20T04:00:00.000Z</published>
            <updated>2025-11-20T15:17:34.000Z</updated>
            <author><name>Simon van Teutem</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/a7bf9a51-b7d8-4c47-b862-e9d44032d700/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/a7bf9a51-b7d8-4c47-b862-e9d44032d700/w=1350" alt="The image presents a bar graph titled &quot;Women are the victims in most partner homicides.&quot; It compares the percentages of male and female victims of partner homicides across a selection of 9 OECD countries.

The countries listed include the United States, Canada, Netherlands, United Kingdom, France, Spain, Germany, Switzerland, and Italy.

The exact percentages vary, but for all countries, women are much more likely than men to be killed by their intimate partner

The data sources for this graph are the United Nations World Population Prospects from 2024 and the United Nations Office on Drugs and Crime from 2025. The graph is licensed under Creative Commons Attribution 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="">Women are much more likely than men to be killed by their intimate partner. The chart shows this across nine OECD countries 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 deaths are rarely isolated events. </span><a href="https://link.springer.com/content/pdf/10.1007/s10896-023-00628-1.pdf" class="span-link"><span class="">Research</span></a><span class=""> shows that partner homicides are usually the endpoint of a long pattern of coercive control — behaviors such as surveillance, isolation, intimidation, restrictions on daily life, and physical violence.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Recognizing both the gender imbalance and its roots in coercive control can help focus support services, encourage family and friends to act sooner, and increase social pressure against abusive behavior.</span></p><p class="article-block__text 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 women face the highest risk from intimate partners, men make up about </span><a href="https://country-profiles.owid.pages.dev/grapher/homicides-by-sex-of-the-victim" class="span-link span-linked-chart"><span class="">80% of homicide victims</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=""> globally. The gender split in partner homicides is therefore a striking exception.</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://country-profiles.owid.pages.dev/grapher/homicide-rate-where-the-perpetrator-is-an-intimate-partner?country=~USA" class="span-link span-linked-chart"><span class="">Explore more data on homicide rates where the perpetrator is an intimate partner.</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[Growth of global GDP per capita has been remarkably steady over the past three decades]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/growth-of-global-gdp-per-capita-has-been-remarkably-steady-over-the-past-three-decades</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/growth-of-global-gdp-per-capita-has-been-remarkably-steady-over-the-past-three-decades"/>
            <published>2025-11-17T08:17:00.000Z</published>
            <updated>2025-11-17T08:17:10.000Z</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/8357a2ca-8463-4f53-b717-14298defc200/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/8357a2ca-8463-4f53-b717-14298defc200/w=1350" alt="The image illustrates the growth of global Gross Domestic Product (GDP) per capita from 1994 to 2024. A line graph displays a steady increase in GDP per capita, starting just above $11,000 in 1994 and rising to around $21,000 towards the end of the timeline. The graph features a clear upward trend with slight fluctuations but overall presents a consistent growth pattern over the years. The title at the top reads &quot;Growth of global GDP per capita over the last three decades,&quot; and the data is adjusted for inflation. 

The footer notes the data sources as Eurostat, OECD, IMF, and World Bank, 2025, and mentions that the data is expressed in international dollars at 2021 prices." 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 global GDP per capita, adjusted for inflation. Looking at the world economy from this perspective, it is the steadiness of this change that stands out to me. Average incomes per person have risen at a fairly constant pace of roughly 2% per year, interrupted only by the 2008–09 financial crisis and the 2020 pandemic.</span></p><p class="article-block__text 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 reason this is noteworthy, in my view, is that national economies changed a lot during the same period. </span><a href="https://ourworldindata.org/economic-growth-since-1950" class="span-link"><span class="">Some economies slowed, many others grew</span></a><span class="">, and more generally, some major political shifts took place. Yet when all of this is aggregated, the global average followed a remarkably smooth upward track.</span></p><p class="article-block__text 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 line in the chart ends in 2024, so it does not yet capture more recent developments. But a few recent articles, such as </span><a href="https://www.economist.com/finance-and-economics/2025/07/15/war-geopolitics-energy-crisis-how-the-economy-evades-every-disaster" class="span-link"><span class="">this one from The Economist</span></a><span class="">, look at data for 2025 and point to the same stability.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Past trends may not continue in the future. But this data reminds us that global economic aggregates can develop more steadily than the headlines might make us think.</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/what-is-economic-growth" class="span-link"><span class="">Read more about what economic growth is and why it is important.</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[How much CO2 can the world emit while limiting global temperature rise?]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/how-much-co2-can-the-world-emit-while-limiting-global-temperature-rise</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/how-much-co2-can-the-world-emit-while-limiting-global-temperature-rise"/>
            <published>2025-11-15T04:00:00.000Z</published>
            <updated>2025-11-10T08:16:26.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Rosado</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/1af98fe2-9649-40ec-1e0d-9fcec8840700/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/1af98fe2-9649-40ec-1e0d-9fcec8840700/w=1350" alt="How much more CO2 can we emit while staying below 1.5°C, 1.7°C and 2°C?

Bar chart showing estimates of remaining carbon dioxide budgets that give a 50% likelihood of staying below each temperature level, relative to pre-industrial levels. A baseline label shows global emissions in 2025 at 42 gigatonnes (Gt) per year. Three vertical bars show remaining CO2 budgets: stay below 1.5°C — 170 Gt, labeled as 4 years of current emissions, with a note that if emissions stay at 2025 levels the 1.5°C budget will be exhausted within 4 years; stay below 1.7°C — 525 Gt, labeled as 12.5 years of current emissions; stay below 2°C — 1055 Gt, labeled as 25 years of current emissions, with an annotation saying that by 2050 we will have exhausted the 2°C budget unless emissions are reduced now. Footer note states these estimates have uncertainty and depend on changes in non-CO2 greenhouse gases such as methane and nitrous oxide. Data sources listed as IPCC, Forster et al. (2025) and Global Carbon Project (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 2015, countries worldwide signed the </span><a href="https://unfccc.int/process-and-meetings/the-paris-agreement" class="span-link"><span class="">Paris Agreement</span></a><span class="">, aiming to keep the global temperature rise “well below 2°C” and limit this increase to 1.5°C.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">To meet these targets, there are limits to the amount of carbon dioxide (CO</span><sub><span class="">2</span></sub><span class="">) that can be emitted. These are called carbon </span><em><span class="">budgets</span></em><span class="">. Every year we emit more CO</span><sub><span class="">2</span></sub><span class="">, these budgets shrink. (That’s because total warming is roughly proportional to </span><em><span class="">cumulative</span></em><span class=""> CO</span><sub><span class="">2</span></sub><span class="">.)</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">In the chart, you can </span><a href="https://essd.copernicus.org/articles/17/2641/2025/" class="span-link"><span class="">see estimates</span></a><span class=""> for how much CO</span><sub><span class="">2</span></sub><span class=""> the world can emit — from the start of next year — while staying below different levels of warming. This is based on having a 50% likelihood of staying below it; if we wanted to </span><em><span class="">guarantee</span></em><span class=""> that we didn’t pass these temperatures, our budget would be much smaller.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">To get a sense of perspective, we’ve compared each budget with </span><a href="https://globalcarbonbudget.org/" class="span-link"><span class="">the projected amount of CO</span><sub><span class="">2</span></sub></a><span class=""> that the world is expected to emit in 2025. This tells us how many years we have left if emissions stay at their current levels.</span></p><p class="article-block__text 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 current emission rates, the 1.5°C budget would run out around 2030. It seems implausible that global emissions will fall quickly enough to avoid this.</span></p><p class="article-block__text 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 2°C budget would last until mid-century. By taking action on climate change, we buy ourselves more time and can avoid this level of warming.</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://country-profiles.owid.pages.dev/explorers/co2" class="span-link span-linked-chart"><span class="">This is based on the latest estimates from the Global Carbon Project. See how emissions are changing in your country.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Global CO2 emissions from fossil fuels are likely to increase this year, while those from land-use change will fall]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/global-co2-emissions-from-fossil-fuels-are-likely-to-increase-this-year-while-those-from-land-use-change-will-fall</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/global-co2-emissions-from-fossil-fuels-are-likely-to-increase-this-year-while-those-from-land-use-change-will-fall"/>
            <published>2025-11-13T04:00:00.000Z</published>
            <updated>2025-11-10T07:55:59.000Z</updated>
            <author><name>Hannah Ritchie</name></author><author><name>Pablo Rosado</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f246a9bf-1f49-4553-7142-e31510895d00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/f246a9bf-1f49-4553-7142-e31510895d00/w=1350" alt="Global CO2 emissions, with projections for 2025. Line chart showing historical global carbon dioxide emissions from 1850 to 2025 (projection) with three series: total emissions, fossil fuel and industry emissions, and land-use change emissions. Key insight: projected total emissions are about 43 billion tonnes in 2025, with no change from 2024; fossil emissions are about 38.9 billion tonnes, a 1 percent increase; land-use change emissions are about 4.1 billion tonnes, an 11 percent decrease, meaning the decline in land-use emissions offset the small rise in fossil emissions. Trends: all series rise slowly until the mid-20th century, then fossil and total emissions increase steeply from around 1950 to the present while land-use emissions fluctuate and decline in recent years. Axes: x-axis 1850 to 2025 (projection); y-axis labeled from 0 to 40 billion tonnes with ticks at 10 billion t increments. Footer note: projections come with uncertainty and are based on incomplete data for this year; fossil emissions do not include cement carbonation. Data source: Global Carbon Project (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="">Have global carbon dioxide (CO</span><sub><span class="">2</span></sub><span class="">) emissions gone up or down this 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 class="">The latest projections from the </span><a href="https://globalcarbonbudget.org/" class="span-link"><span class="">Global Carbon Project</span></a><span class=""> give us some insight. Their researchers and analysts do invaluable work in estimating greenhouse gas emissions worldwide, helping us understand how the situation is evolving.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Today, they published their latest “carbon budget”. The chart shows their historical estimates, as well as their projections for 2025.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">They project that this year, emissions from fossil sources — that is, from fossil fuels and industrial processes — will increase by around 1%. Emissions from all three fuels — coal, oil, and gas — are expected to increase. Meanwhile, emissions from land-use change have decreased due to </span><a href="https://country-profiles.owid.pages.dev/grapher/cumulative-co-emissions-released-by-wildfires-by-week" class="span-link span-linked-chart"><span class="">fewer extreme wildfires</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 reduced deforestation in South America.</span></p><p class="article-block__text 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 reduction in land use may offset the increase from fossil fuels, resulting in a global total similar to last year. Note that estimates for land-use emissions are much less certain than for fossil fuels.</span></p><p class="article-block__text 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 </span><a href="https://country-profiles.owid.pages.dev/grapher/annual-co2-emissions-per-country?stackMode=relative&amp;time=1990..latest&amp;country=USA~GBR~NLD~DEU~FRA~JPN" class="span-link span-linked-chart"><span class="">many 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=""> have made progress in reducing emissions, global fossil emissions continue to rise. To tackle climate change, they need to peak and rapidly decrease in the coming years and decades.</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://country-profiles.owid.pages.dev/explorers/co2" class="span-link span-linked-chart"><span class="">This is based on the latest estimates from the Global Carbon Project. Explore how global and national emissions are changing.</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[There are huge differences in death rates from road injuries, even across high-income countries]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/there-are-huge-differences-in-death-rates-from-road-injuries-even-across-high-income-countries</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/there-are-huge-differences-in-death-rates-from-road-injuries-even-across-high-income-countries"/>
            <published>2025-11-11T04:00:00.000Z</published>
            <updated>2025-11-07T13:39:35.000Z</updated>
            <author><name>Hannah Ritchie</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/58752adf-df85-44c0-7d98-f4ca14039800/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/58752adf-df85-44c0-7d98-f4ca14039800/w=1350" alt="Road death rates can vary more than 20-fold, even across rich countries.

Horizontal bar chart showing number of deaths from road injuries per 100,000 people in 2021 for 16 high-income countries; deaths include drivers and passengers, motorcyclists, cyclists, and pedestrians. Highest is Saudi Arabia at 45 per 100,000, followed by Oman 36 and United Arab Emirates 20. United States 11, Chile 9.5. Mid-range examples: Australia 4.8, Italy 4.8, Canada 4.4, France 4.4, Spain 3.7, Germany 3.3. Lower end: Japan 2.2, United Kingdom 2, and Norway, Singapore, and Sweden each 1.9. Annotation states that death rates in Middle Eastern high-income countries are 10 to 24 times higher than in those with the safest roads. Data source listed as IHME, Global Burden of Disease (2024); note that the metric is age-standardized for cross-country comparisons; image marked 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="">Roads in rich countries </span><a href="https://country-profiles.owid.pages.dev/grapher/death-rates-road-incidents?tab=discrete-bar&amp;time=2021..latest&amp;mapSelect=OWID_LIC~OWID_HIC~OWID_UMC~OWID_LMC" class="span-link span-linked-chart"><span class="">tend to be much safer</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 those in low- and middle-income countries. Cars are more modern, infrastructure is better, and driving laws are stricter and better enforced.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">However, there are still huge differences </span><em><span class="">between</span></em><span class=""> high-income countries. This is obvious from the chart, which shows death rates from road injuries across various countries. Rates can vary more than 20-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 class="">I was </span><a href="https://ourworldindata.org/britain-safest-roads-history" class="span-link"><span class="">recently surprised</span></a><span class=""> to find that my country, the United Kingdom, has some of the safest roads in the world, alongside Sweden, Singapore, and Norway. It can be easy to complain about the situation in our own country without considering what things are like elsewhere.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Road deaths are incredibly high in several Middle Eastern countries, like Saudi Arabia, Oman, and the United Arab Emirates. These countries tend to have far more high-speed highways, drivers often cover much longer distances, and </span><a href="https://cdn.who.int/media/docs/default-source/country-profiles/road-safety/road-safety-2023-sau.pdf" class="span-link"><span class="">the enforcement</span></a><span class=""> of regulations such as speed limits, seatbelt use, and driving distractions is weaker. These countries </span><a href="https://country-profiles.owid.pages.dev/grapher/death-rates-road-incidents?tab=line&amp;time=1990..latest&amp;country=SAU~ARE~OMN" class="span-link span-linked-chart"><span class="">have reduced</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=""> fatality rates in recent years, but still have much higher death tolls than other rich countries.</span></p><div class="article-block__cta col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2 cta"><a href="https://ourworldindata.org/britain-safest-roads-history" class="span-link"><span class="">Read my article on how the United Kingdom built some of the world’s safest roads.</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[Democracies tend to have lower levels of corruption]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/democracies-tend-to-have-lower-levels-of-corruption</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/democracies-tend-to-have-lower-levels-of-corruption"/>
            <published>2025-11-07T04:00:00.000Z</published>
            <updated>2025-11-03T07:55:30.000Z</updated>
            <author><name>Simon van Teutem</name></author><author><name>Bastian Herre</name></author><author><name>Edouard Mathieu</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/9f7a142f-f458-4277-8d47-4fc1ad1a4400/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/9f7a142f-f458-4277-8d47-4fc1ad1a4400/w=1350" alt="This scatter plot illustrates the relationship between political corruption and electoral democracy indices for various countries in 2024. The vertical axis represents the political corruption index, ranging from 0, indicating less corruption, to 1, indicating more corruption. The horizontal axis shows the electoral democracy index, also ranging from 0 to 1, where higher values suggest greater levels of democracy.

Key countries are labeled, including Myanmar, Russia, India, Hungary, Ethiopia, China, Tanzania, Singapore, Romania, Brazil, Poland, and Denmark. Each country is represented by a point on the graph, with countries like Denmark and Singapore positioned closer to the lower end of the corruption scale and higher on the democracy scale, indicating they are less corrupt and more democratic. In contrast, countries like Myanmar and Russia are closer to the higher end of the corruption index. 

The data is sourced from V-Dem, with estimates based on expert evaluations. The findings suggest that as countries become more democratic, they tend to experience lower levels of corruption. The chart is titled &quot;Countries that are more democratic tend to be less corrupt&quot; with a subtitle indicating the year of the data and the source." 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="">What difference does it make when people can choose their leaders? One area where the right to vote for political leaders may matter is corruption.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Democracy and corruption are hard to measure. One possible way to understand how countries perform on these fronts is to ask experts who study them closely. These expert judgments aren’t perfect, but we think they’re useful.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The </span><a href="https://ourworldindata.org/vdem-electoral-democracy-data" class="span-link"><span class="">V-Dem project</span></a><span class=""> surveys experts to assess how democratic each country is. Are elections free and fair? Do all citizens have equal voting rights? Are fundamental freedoms — like speech and assembly — respected? Experts also rate how frequent corruption is in public institutions, from bribery and embezzlement to whether laws are enforced fairly.</span></p><p class="article-block__text 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 combines these expert estimates: democracy on the horizontal axis and corruption on the vertical axis, with both scores on a scale from 0 to 1.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">There are four corners in the chart. In the top left, you find many countries that are both autocratic and corrupt, such as Myanmar and Russia. In the bottom right, there’s a thick cluster of nations that have stronger democratic institutions and lower levels of corruption. What also stands out is that no country appears in the top right: none are rated as both having strong democratic institutions and being highly corrupt.</span></p><p class="article-block__text 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 correlation, not causation — but research on the causal link suggests democratic systems can indeed help </span><a href="https://open.cmi.no/cmi-xmlui/bitstream/handle/11250/2474916/Does%20democracy%20reduce%20corruption%3F?sequence=1&amp;isAllowed=y" class="span-link"><span class="">expose and reduce corruption</span></a><span class="">. And there is also a causal impact running the other way: corruption can weaken democratic institutions, for instance by </span><a href="https://journals.sagepub.com/doi/abs/10.1177/0192512111419824" class="span-link"><span class="">lowering</span></a><span class=""> voter turnout.</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://country-profiles.owid.pages.dev/corruption" class="span-link"><span class="">Measuring corruption will always be difficult, and no single chart can fully capture it. You can explore more evidence and perspectives in the new version of our topic page on corruption.</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Almost one billion children have died globally since 1950]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/almost-one-billion-children-have-died-globally-since-1950</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/almost-one-billion-children-have-died-globally-since-1950"/>
            <published>2025-11-05T05:34:00.000Z</published>
            <updated>2025-11-05T05:34:38.000Z</updated>
            <author><name>Max Roser</name></author><author><name>Edouard Mathieu</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b4780c7e-ce26-47c6-adf0-65db2e1d6900/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/b4780c7e-ce26-47c6-adf0-65db2e1d6900/w=1350" alt="The UN estimates that 990 million children have died globally since 1950.

Bar chart showing annual number of children who died before age five from 1950 to 2024, with a long-term downward trend. Key points annotated: 1950 annual child deaths about 20 million, child mortality rate 23%; deaths peaked in 1960 as millions died during the &quot;Great Leap Forward&quot; famine in China; 2000 annual child deaths about 10 million, child mortality rate 7.6%; 2024 annual child deaths about 5 million, child mortality rate 3.6%. X-axis runs from 1950 to 2024. Data source: UN, World Population Prospects (2024). License: CC BY." width="1350" height="1350"/><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The deaths of children are daily tragedies on an enormous scale. The UN estimates that between 1950 and 2024, 990 million children died. That’s almost a billion children who died in only 75 years.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The chart shows that the world has made progress. In 1950, 23% of children born died before they were five years old. Since then, the global child mortality rate has declined to 3.6%.</span></p><p class="article-block__text 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 absolute terms, the number of child deaths has also declined: in 1950, 20 million children died; by the year 2000, this number had halved; and since then, it has halved again.</span></p><p class="article-block__text 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 the deaths of millions of young children every year remain one of the worst problems in the world and deserve much more attention.</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://country-profiles.owid.pages.dev/explorers/population-and-demography?tab=map&amp;time=2024&amp;indicator=Child+mortality+rate&amp;Sex=Both+sexes&amp;Age=Total&amp;Projection+scenario=Medium&amp;country=~OWID_WRL" class="span-link span-linked-chart"><span class="">Explore more data from the UN’s World Population Prospects in our Population &amp; Demography Data 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[Life expectancy has increased at all ages]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/life-expectancy-has-increased-at-all-ages</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/life-expectancy-has-increased-at-all-ages"/>
            <published>2025-11-03T04:00:00.000Z</published>
            <updated>2025-10-27T09:03:45.000Z</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/c7fdcb19-e58a-491b-2f85-5e729a3a5f00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/c7fdcb19-e58a-491b-2f85-5e729a3a5f00/w=1350" alt="A line graph depicting life expectancy for French individuals of various ages, from 1816 to 2023. The y-axis represents life expectancy in years, ranging from 30 to 90 years. Each line corresponds to different ages: at birth, 10-year-olds, 25-year-olds, 45-year-olds, 65-year-olds, and 80-year-olds.

Each line shows fluctuations in life expectancy over time but there is a notable increase for all age groups. Significant historical events, such as the Franco-Prussian War, the Spanish Flu, and World War II, are marked on the timeline, indicating periods of impact on life expectancy. 

The data sources for the chart are the Human Mortality Database and the UN WPP. 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="">It’s a common misconception that life expectancy has increased only because fewer children die. Historical mortality records show that adults today also live much longer than adults in the past.</span></p><p class="article-block__text 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 true that child mortality rates were much higher in the past, and </span><a href="https://ourworldindata.org/child-mortality-global-overview" class="span-link"><span class="">their decline</span></a><span class=""> has greatly improved overall life expectancy. But in recent decades, improvements in survival at older ages have been even more important.</span></p><p class="article-block__text 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 </span><em><span class="">period life expectancy</span></em><span class=""> in France for people of different ages. This measures how long someone at each of those ages would live, on average, if they experienced the death rates recorded in that year. For example, the last point on the top dark-red line shows that an 80-year-old in 2023 could expect to live to about 90, assuming mortality rates stayed as they were 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="">As you can see, life expectancy in France has risen at every age. In 1816, someone who had reached the age of 10 could expect to live to 57. By 2023, this had increased to 84. For those aged 65, it rose from 76 in 1816, to 87 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="">The </span><a href="https://country-profiles.owid.pages.dev/grapher/life-expectancy-at-different-ages?country=~FRA" class="span-link span-linked-chart"><span class="">data for many other countries</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> shows the same. This remarkable shift is the result of advances in medicine, public health, 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/life-expectancy-how-is-it-calculated-and-how-should-it-be-interpreted" class="span-link"><span class="">Explore the data and read more about how life expectancy is measured</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[A century of progress in access to primary education]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/a-century-of-progress-in-access-to-primary-education</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/a-century-of-progress-in-access-to-primary-education"/>
            <published>2025-10-31T04:00:00.000Z</published>
            <updated>2025-10-27T09:03:31.000Z</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/dd0bd65f-a09e-43a8-864c-0326cc04e800/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/dd0bd65f-a09e-43a8-864c-0326cc04e800/w=1350" alt="This is a line graph depicting the global gender gap in primary school enrollment from 1900 to 2023. The vertical axis represents the percentage of primary school-age children enrolled in primary education, ranging from 0% to 100%. The horizontal axis shows the years from 1900 to 2023. 

There are two lines on the graph: one represents girls, shown in green, and the other represents boys, shown in purple. In 1900, about 31% of boys and 23% of girls were enrolled in primary education. The lines gradually rise, reflecting an increase in enrollment over time. By 2023, the enrollment rates are nearly equal, with 91% of boys and 89% of girls enrolled. 

Text annotations on the graph highlight the key statistics for 2023 and 1900. The data sources for the information presented are the UNESCO Institute for Statistics (2025) and the study by Lee and Lee (2016). The image is credited to Our World in Data and is licensed under 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 world has made </span><a href="https://ourworldindata.org/global-education?insight=the-world-has-made-substantial-progress-in-increasing-basic-levels-of-education#key-insights" class="span-link"><span class="">major progress</span></a><span class=""> in expanding access to education. A century ago, most children did not have the option to go to school at all. Today, access to education is widely seen as a basic right that governments are expected to provide. And most governments succeed — according to statistics compiled by UNESCO, about 9 in 10 children of primary school age are enrolled.</span></p><p class="article-block__text 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 this expansion unfolded for boys and girls separately. Throughout most of the 20th century, enrollment rose steadily, but boys remained more likely to be in school than girls. It was only towards the end of the century that this gap began to close. Today, the gap is small: around 91% of boys and 89% of girls are enrolled in primary school.</span></p><p class="article-block__text 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 the gap is small globally, it remains large and persistent in some countries. In Chad, in Central Africa, about 80% of boys are enrolled in primary school, compared with 67% of girls. This difference has shown little change in recent years, as the data linked below shows.</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://country-profiles.owid.pages.dev/grapher/gender-gap-education-levels" class="span-link span-linked-chart"><span class="">Explore enrollment gender gaps for all countries and across education levels.</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[Maternal deaths have more than halved in the last forty years]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/maternal-deaths-have-halved-in-the-last-35-years</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/maternal-deaths-have-halved-in-the-last-35-years"/>
            <published>2025-10-29T07:01:00.000Z</published>
            <updated>2025-10-29T07:01:22.000Z</updated>
            <author><name>Max Roser</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/173e2024-0339-4fe6-8c00-38c83ddfba00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/173e2024-0339-4fe6-8c00-38c83ddfba00/w=1350" alt="The global number of maternal deaths has more than halved. Line chart titled &quot;Estimated annual number of women who die from maternal conditions,&quot; showing a steady decline in estimated annual maternal deaths worldwide from about 625,000 in 1985 to about 260,000 in 2023, with a small uptick around 2020 due to the COVID-19 pandemic before falling again. Data source: World Health Organization - Global Health Observatory (2025). Chart 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="">A woman dying when she is giving birth to her child is one of the greatest tragedies imaginable.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Every year, 260,000 women die from pregnancy-related causes. This number rose to 322,000 during the COVID-19 pandemic.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Fortunately, the world has made continuous progress, and such tragic deaths have become much rarer, as the chart shows. The WHO has published data since 1985. Since then, the number of maternal deaths has more than halved.</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://country-profiles.owid.pages.dev/grapher/number-of-maternal-deaths" class="span-link span-linked-chart"><span class="">Explore data on the number of maternal deaths, country by country.</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Bangladesh has become much more resilient to cyclones, saving many lives]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/bangladesh-has-become-much-more-resilient-to-cyclones-saving-many-lives</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/bangladesh-has-become-much-more-resilient-to-cyclones-saving-many-lives"/>
            <published>2025-10-27T05:00:00.000Z</published>
            <updated>2025-10-24T13:51:05.000Z</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/7c6a3511-fc9e-4186-a057-ce2472b32000/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/7c6a3511-fc9e-4186-a057-ce2472b32000/w=1350" alt="This data visualization presents a bar graph illustrating the number of deaths in Bangladesh from storm events over the years, prominently featuring significant cyclone incidents. The vertical axis represents the number of deaths, ranging from 0 to over 300,000, while the horizontal axis spans from 1960 to 2023.

Key data points highlighted include:

- More than 300,000 deaths noted during the 1970 Bhola cyclone, categorized as a Category 3 cyclone.
- In 1991, 138,000 deaths occurred from a Category 4 cyclone.
- In 1985, 15,000 deaths were reported from a Category 3 cyclone.
- The year 2007 saw only 4,000 deaths from a Category 4 cyclone.
- Since 2007, no year has recorded more than 200 deaths, even with several Category 4 and 5 cyclones.

A note emphasizes that estimates before 1971 are based on deaths that occurred within Bangladesh&#x27;s current borders. The data sources for the graph are EM-DAT, CRED, and UCLouvain, from the year 2024. The image is attrib uted to the &quot;Our World in Data&quot; project." 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 1970, Cyclone Bhola hit Bangladesh, killing more than 300,000 people. It was a strong cyclone, but not unprecedented. What made it so deadly was the lack of any early detection systems, alarms, or mass evacuation procedures. A huge storm surged into a densely populated area, and hundreds of thousands of people drowned in 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="">Since then, Bangladesh has become much more resilient to these events. The chart shows the country&#x27;s annual death toll from storms, stretching back to 1960.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Throughout the 1980s and early 1990s, a few large events claimed many lives. But in recent decades, the death toll has been low. That’s despite Bangladesh experiencing some extremely powerful cyclones. Cyclone Amphan (2020) and Mocha (2023) were both Category 5 — the strongest rating.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">Bangladesh offers one of the clearest examples of how humans are not helpless in the face of “natural” disasters: investments in weather forecasting, early warning systems, and proper evacuation procedures can protect communities and save 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/the-world-has-become-more-resilient-to-disasters-but-investment-is-needed-to-save-more-lives" class="span-link"><span class="">This development is part of a longer-term and widespread success in reducing humanity’s vulnerability to storms, floods, earthquakes, and other hazards. Read more in my 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[China’s internal combustion car sales peaked in 2017 as electric vehicles took off]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/chinas-internal-combustion-car-sales-peaked-in-2017-as-electric-vehicles-took-off</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/chinas-internal-combustion-car-sales-peaked-in-2017-as-electric-vehicles-took-off"/>
            <published>2025-10-24T04:00:00.000Z</published>
            <updated>2025-10-24T13:51:05.000Z</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/2e9e527e-4e54-4426-b0ca-c4790e58f100/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/2e9e527e-4e54-4426-b0ca-c4790e58f100/w=1350" alt="A bar graph illustrates the sales trends of internal combustion engine cars and electric cars in China from 2010 to 2024. The bars representing internal combustion engine cars are shown in shades of purple and dominate the graph, with a peak reaching around 25 million units in 2017. This peak is indicated with an arrow and labeled &quot;Sales peaked in 2017.&quot; After 2017, the sales of internal combustion engine cars decrease slightly while electric car sales, represented by green bars, show a rapid increase in recent years, particularly noticeable in the later years of the chart. The y-axis indicates sales figures ranging from 0 to 25 million, while the x-axis is labeled with the years from 2010 to 2024. At the bottom, the data source is cited as the International Energy Agency, Global EV Outlook 2025, with a CC BY license." 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="">Electric cars have become incredibly popular in China. In 2020, one in eighteen new cars sold was electric. By 2024, this </span><a href="https://country-profiles.owid.pages.dev/grapher/electric-car-sales-share?country=~CHN" class="span-link span-linked-chart"><span class="">had increased</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><span class=""> to one in two.</span></p><p class="article-block__text 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 growth has pushed down sales of internal combustion engine (ICE) cars, which run mostly on petrol. As you can see in the chart, sales of ICE cars peaked in 2017 and have declined since.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">The </span><em><span class="">world</span></em><span class=""> reached </span><a href="https://ourworldindata.org/data-insights/global-sales-of-combustion-engine-cars-have-peaked" class="span-link"><span class="">peak ICE car sales</span></a><span class=""> just one year later.</span></p><p class="article-block__text 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 displacement of petrol cars with electric ones is vital in decarbonizing transport. The rise of electric vehicles in China means the </span><a href="https://www.iea.org/news/amid-rising-geopolitical-strains-oil-markets-face-new-uncertainties-as-the-drivers-of-supply-and-demand-growth-shift" class="span-link"><span class="">IEA expects</span></a><span class=""> oil demand to peak earlier than previously projected.</span></p><p class="article-block__text 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, “electric cars” include fully battery-electric ones and plug-in hybrids. In China, 56% </span><a href="https://country-profiles.owid.pages.dev/grapher/share-car-sales-battery-plugin?country=~CHN" class="span-link span-linked-chart"><span class="">of them were</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=""> fully battery-electric.</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/electric-car-sales" class="span-link"><span class="">Track data on the evolution of electric cars across the world</span></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[From 5% to 76% in 30 years: Kenya has made substantial progress in providing access to electricity]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/kenya-has-made-substantial-progress-in-providing-access-to-electricity</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/kenya-has-made-substantial-progress-in-providing-access-to-electricity"/>
            <published>2025-10-22T06:23:00.000Z</published>
            <updated>2025-10-24T13:51:05.000Z</updated>
            <author><name>Max Roser</name></author>
            <content type="html"><![CDATA[<link rel="preload" as="image" href="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/d09a7ddc-56d4-45c0-fe04-04c4e925ac00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/d09a7ddc-56d4-45c0-fe04-04c4e925ac00/w=1350" 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="">Those with access to electricity take many of its benefits for granted: food refrigeration reduces waste, the radio can keep us company during the day, and light at night makes it possible to study or get together after sunset.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">According to data published by the World Bank, 30 years ago, only 5% of people in Kenya had access to basic electricity and its benefits.</span></p><p class="article-block__text 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 then, the country has made substantial progress, as the chart shows: by 2023, 76% of Kenyans had access to a basic electricity supply.</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://country-profiles.owid.pages.dev/grapher/share-of-the-population-with-access-to-electricity" class="span-link span-linked-chart"><span class="">Explore our world map and charts of the share of the population with access to electricity.</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[Over many generations, better nutrition and lower disease have led to people becoming taller]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/over-many-generations-better-nutrition-and-lower-disease-have-led-to-people-becoming-taller</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/over-many-generations-better-nutrition-and-lower-disease-have-led-to-people-becoming-taller"/>
            <published>2025-10-20T04:00:00.000Z</published>
            <updated>2025-10-24T13:51:05.000Z</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/68005ae0-2049-4935-adad-41a5f1cea400/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/68005ae0-2049-4935-adad-41a5f1cea400/w=1350" alt="The image presents a line graph illustrating the average height of men by decade of birth, ranging from the year 1710 to 1980. The vertical axis indicates height in centimeters, with increments at 5 cm, from 160 cm to 185 cm. The graph features three lines representing three countries: Denmark, Netherlands, and Germany, each with distinct colors. The data points show a significant upward trend in height over the decades, particularly noticeable after 1900. The data source for the information presented is Baten and Blum from the year 2014, and the graph is published under a Creative Commons Attribution license." 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="">Poor nutrition and illness can limit human growth, so long-term improvements in living conditions are often reflected in increases in average height.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">At the individual level, height depends on many other factors, but genetics plays a particularly important role.  Not all short people are undernourished or sick, and not all tall people are necessarily healthy. However, when we look at population averages across generations, broad patterns in nutrition and disease burden can play a visible role.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This is why historians often use height as an indirect measure of living conditions. By examining historical changes in height, researchers can gain insights into living standards during periods when little or no other data is available.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">This chart presents estimates from Jörg Baten and Matthias Blum, published in the European Review of Economic History (2014). The lines show the average height of men by decade of birth in Denmark, the Netherlands, and Germany, from 1710 to 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="">For the earlier period, the estimates are based mainly on military conscription records (which measured young men eligible for service), so they are not fully representative of the entire population.</span></p><p class="article-block__text 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 historical data points are less representative than modern survey data, but the changes are large enough that the overall pattern is meaningful even if exact levels carry some uncertainty.</span></p><p class="article-block__text 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 rapidly average height rose in these countries during the 20th century, a trend consistent with major improvements in </span><a href="https://ourworldindata.org/health-meta" class="span-link"><span class="">health</span></a><span class=""> and </span><a href="https://ourworldindata.org/food-supply" class="span-link"><span class="">nutrition</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://country-profiles.owid.pages.dev/grapher/average-height-of-men-for-selected-countries?country=USA~BRA~DEU~NGA~IND~AUS" class="span-link span-linked-chart"><span class="">Explore historical height data from the same source for other countries</span><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="chart-line" class="svg-inline--fa fa-chart-line span-linked-chart-icon" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64L0 400c0 44.2 35.8 80 80 80l400 0c17.7 0 32-14.3 32-32s-14.3-32-32-32L80 416c-8.8 0-16-7.2-16-16L64 64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"></path></svg></a><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right " role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></div>]]></content>
            </entry>
<entry>
            <title><![CDATA[Only two countries recorded human cases of guinea worm disease in 2024]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/only-two-countries-recorded-human-cases-of-guinea-worm-disease-in-2024</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/only-two-countries-recorded-human-cases-of-guinea-worm-disease-in-2024"/>
            <published>2025-10-17T04:00:00.000Z</published>
            <updated>2025-10-24T13:51:05.000Z</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/0d04dd86-d3db-4b5a-7062-5c96f286bc00/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/0d04dd86-d3db-4b5a-7062-5c96f286bc00/w=1350" alt="A world map shows the distribution of reported cases of guinea worm disease in 2024. Two countries are highlighted in darker shades: Chad, which has nine reported cases, and South Sudan, which has six reported cases. The rest of the map, particularly surrounding regions, is light-colored and marked as having no reported cases. The caption notes that there were only 15 reported cases globally and mentions that guinea worm disease is still endemic in three other countries. The data is sourced from the World Health Organization, with a note explaining that the disease is caused by a parasitic worm spread through contaminated water." 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="dod-span" data-id="guinea-worm" tabindex="0"><span class="">Guinea worm</span></span><span class=""> is an incredibly painful and debilitating disease; one that’s hard to imagine unless you’ve seen someone suffer from it.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">As we explain in a </span><a href="https://ourworldindata.org/guinea-worm-path-eradication" class="span-link"><span class="">dedicated article</span></a><span class="">, it’s caused by the guinea worm parasite, whose larvae can be found in stagnant water. Drinking contaminated water lets the larvae enter the stomach and intestines. These grow into adult worms, getting into their joints and causing arthritic conditions, before emerging painfully through the skin.</span></p><p class="article-block__text 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 the world is extremely close to eradicating this disease. In 1989, more than </span><a href="https://ourworldindata.org/data-insights/through-sustained-effort-we-are-close-to-eradicating-guinea-worm-disease" class="span-link"><span class="">890,000 human cases</span></a><span class=""> were recorded globally, compared to only 15 in 2024.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">As you can see in the map, these cases were recorded in just two countries: Chad and South Sudan.</span></p><p class="article-block__text 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 three other countries — Ethiopia, Angola, and Mali — where guinea worm </span><a href="https://country-profiles.owid.pages.dev/grapher/progress-towards-guinea-worm-disease-eradication" class="span-link span-linked-chart"><span class="">is still endemic</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=""> (meaning it’s still considered present there), but they reported no new cases in 2024.</span></p><p class="article-block__text 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, we focus on guinea worm cases </span><em><span class="">in humans</span></em><span class="">, but it’s important to note that other animals — such as domestic dogs — can also be infected. This adds further challenges to eradicating the disease completely.</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/neglected-tropical-diseases" class="span-link"><span class="">Explore more data on neglected tropical diseases, which we recently updated</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 Colombia, fertility rates have fallen sharply in recent decades]]></title>
            <id>https://country-profiles.owid.pages.dev/data-insights/in-colombia-fertility-rates-have-fallen-sharply-in-recent-decades</id>
            <link rel="alternate" href="https://country-profiles.owid.pages.dev/data-insights/in-colombia-fertility-rates-have-fallen-sharply-in-recent-decades"/>
            <published>2025-10-15T04:00:00.000Z</published>
            <updated>2025-10-24T13:51:05.000Z</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/6032e9bc-2cd9-4709-e16f-fb744085a300/w=1350"/><img src="https://ourworldindata.org/cdn-cgi/imagedelivery/qLq-8BTgXU8yG0N6HnOy8g/6032e9bc-2cd9-4709-e16f-fb744085a300/w=1350" alt="The graphic presents a slope chart illustrating the fertility rate, defined as the average number of children a woman would bear if she experienced age-specific fertility rates observed in that year.

The chart covers the years from 1950 to 2023 and features four countries: Colombia, France, the United Kingdom, and China.

- In 1950, the fertility rates for these countries were notably higher, with Colombia at 6.4 births, China at 5.8 births, France at 3 births, and the United Kingdom at 2.2 births.
- By 2023, these rates have significantly declined, with Colombia, France, and the United Kingdom each at 1.6 births, and China at 1 birth per woman.

Data comes from the United Nations World Population Prospects for the year 2024. The chart is categorized under Creative Commons by attribution (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="">Large families used to be the norm in Colombia, but that has changed a lot over just a few generations. I come from Colombia, and my own family reflects this: my grandmother had eleven siblings, my mother had seven, and I have just one sister.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">My family is one example of this broader shift within Colombia. In 1950, around the time my mother was born, the fertility rate was 6.4 births per woman. By 2023, it had fallen to 1.6.</span></p><p class="article-block__text col-start-5 span-cols-6 col-md-start-3 span-md-cols-10 span-sm-cols-12 col-sm-start-2"><span class="">That’s what the chart here shows. It plots the </span><em><span class="">total fertility rate</span></em><span class="">: the average number of children a woman would have over her lifetime, if she experienced the observed birth rates of women in her country in the corresponding year. It’s the most widely used measure to track birth patterns across countries and 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="">The chart shows that Colombia’s fertility rate is similar to that of richer countries like France and the UK. It also displays Colombia’s trend alongside China’s for comparison. Perhaps surprisingly, the </span><em><span class="">slope</span></em><span class=""> (i.e., the speed) of Colombia’s drop has been similar to China&#x27;s, despite the latter introducing a </span><a href="https://en.wikipedia.org/wiki/One-child_policy" class="span-link"><span class="">one-child policy</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="">Colombia’s experience mirrors a wider change across many middle-income countries, including much of Latin America. Education of women, urbanization, declining infant mortality, family planning, and changing norms are all key drivers of this trend.</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/total-fertility-rate-births-per-woman" class="span-link"><span class="">Read more about how fertility rates are calculated and what to keep in mind when interpreting trends</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>
</feed>