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Our World in Data makes this knowledge accessible and understandable, to empower those working to build a better world.
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Featured work
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[
NewArticle · 5 min read
“Cool” years are now hotter than the “warm” years of the past: tracking global temperatures through El Niño and La Niña
The world is warming despite natural fluctuations from the El Niño cycle.
Veronika Samborska and Hannah Ritchie
](https://ourworldindata.org/global-temperatures-el-nino-la-nina)
[
From our classics
Energy poverty and indoor air pollution: a problem as old as humanity that we can end within our lifetime
About three billion people in the world do not have access to modern energy sources for cooking. Millions die from indoor air pollution every year.
Max Roser
](https://ourworldindata.org/energy-poverty-air-pollution)[
Article · 10 min read
The baby boom in seven charts
The baby boom reshaped family life and drove population growth in many countries. In this article, we explore the key patterns in seven charts.
Saloni Dattani and Lucas Rodés-Guirao
](https://ourworldindata.org/baby-boom-seven-charts)
[
Revised & updated
Fertility Rate
Explore changing patterns in fertility worldwide, from birth rates to parental ages, twinning rates, reproductive technologies, and more.
Saloni Dattani, Lucas Rodés-Guirao and Max Roser
](https://ourworldindata.org/fertility-rate)[
Announcement
Our founder, Max Roser, has received two prestigious honors
An honorary doctorate from KU Leuven & UCLouvain and a “Dove of Peace” in Germany.
Angela Wenham and Charlie Giattino
](https://ourworldindata.org/max-roser-received-two-prestigious-honors)
[See all our latest work](/latest)
[See all our latest work](/latest)
[See all Daily Data Insights](/data-insights)
[
Today
### The United States spends a lot more on healthcare per person than other G7 nations
The chart shows health expenditure per person for G7 countries; the data is adjusted for differences in living costs between countries.
The US spends much more on healthcare per person than any other G7 nation: $12,000 in 2021. This is more than 50% higher than Germany, the next-highest spender.
Japan and Italy spend just $4,700 and $4,400 per person at the lowest end — slightly over one-third of US spending.
Despite spending much more on healthcare, the United States has the lowest life expectancy in the G7. This is due to a combination of higher death rates from smoking, obesity, homicides, opioid overdoses, road accidents, and infant mortality.
Explore health expenditure per person for other countries →
Continue reading
](/data-insights#most-recent-data-insight)[
Yesterday
### More than 80% of countries vote, but less than 40% do so freely and fairly
People might associate democracy with having the right to vote. But meaningful democracy is much more than that.
In 2022, nearly every country granted its citizens the right to vote. 85% of them had an elected parliament and government. In 82%, elections were multi-party, meaning that people had more than one option on the ballot. You can see this in the chart.
But, fewer than two-thirds of these elections were genuinely competitive. In others, voters were systematically pressured or intimidated, the timing of elections was violated, or election fraud influenced the results.
Even more concerning, in only 39% of countries were people able to express their political opinions and associate freely.
As a result, just over one-third of countries recently held elections that met all of these democratic criteria and can be considered truly free and fair.
Find out which countries have all democratic criteria and which don't →
Continue reading
](/data-insights#second-most-recent-data-insight)[
March 04
### What share of births involve assisted reproductive technologies like IVF?
In 1978, Louise Brown became the first baby born through in vitro fertilization (IVF). In this technique, eggs are fertilized with sperm in a lab before the resulting embryos are transferred to the uterus.
Assisted reproductive technologies have advanced further and now become widely available.
These innovations have helped many people who might otherwise struggle to conceive — supporting individuals and couples facing infertility, allowing older parents to preserve fertility, and enabling same-sex couples to have children.
The chart shows the share of births in 2019 that involved assisted reproductive technologies across various European countries. This can include cross-border treatment.
Spain had the highest share, with nearly 9% of births resulting from assisted reproductive technology, followed by Greece, Denmark, and Czechia. In contrast, countries like Ireland, Lithuania, Serbia, and Turkey had much lower rates, with less than 2% of all births.
Explore more data on fertility rates and reproductive technology →
Continue reading
](/data-insights#third-most-recent-data-insight)[
March 03
### Fewer marriages in England and Wales are ending in divorce within the first ten years
Since 2000, fewer couples in England and Wales have divorced within the first ten years of marriage, reversing the trend of the late 20th century.
The chart shows the percentage of marriages ending in divorce within a decade, based on the year of marriage. For those married in 1965, one in ten divorced within ten years.
By 1975, this had nearly doubled to 18% as legal reforms made separation easier and less stigmatized. Divorce rates peaked for couples married in 1995, with one in four divorcing by their tenth anniversary.
But, as you can see, this trend has started to reverse. Of the couples that married in 2012, only 17% had divorced by 2022. That’s well below the peak in the 1990s.
Explore our data on marriages and divorces in other countries →
Continue reading
](/data-insights#fourth-most-recent-data-insight)[
February 28
### Bangladesh has been urbanizing much faster than its neighbors
The biggest migration story of the past few centuries has not been from country to country but from rural areas to cities.
In 1960, one-third of the world’s population lived in urban areas. This share is now closing in on 60%. By contrast, less than 4% of the global population are international migrants.
But some countries are urbanizing much more quickly than others. Bangladesh is one example of a country that has experienced much faster internal migration than its South Asian neighbors. You can see this on the chart.
In 1972, just 8% of people in Bangladesh lived in towns and cities. This share has more than quadrupled to 40%.
Explore more data on the global movement of populations from rural areas to cities →
Continue reading
](/data-insights#fifth-most-recent-data-insight)[
February 27
### Many Europeans say their nations are on the wrong track with housing
The Ipsos Housing Monitor 2025 surveyed people across 30 countries, asking: “In general, do you think that your country is on the right track or the wrong track when it comes to housing?”.
The chart shows results for European countries, where housing prices dipped after the 2008 global financial crisis, before starting to rise again around 2013, with particularly large increases since 2015.
The Netherlands and Spain stand out, with nearly 80% believing their country is on the wrong track.
People in Poland and Sweden are less concerned than in other countries. But even in these nations, the majority feels like their country is on the wrong track.
Explore more data on optimism and pessimism about the future →
Continue reading
](/data-insights#sixth-most-recent-data-insight)[
February 26
### What share of women reach the end of their childbearing years without having children?
This chart focuses on the share of women who had no births by the end of their childbearing years. The horizontal axis shows the woman’s birth year.
Around 18% of those born in the 1910s in the United States had no children. For the following generations who grew up during the “baby boom”, the share with no children dropped to 5%. Since then, this figure has risen and fallen again.
In Sweden, the share of women without any children has remained relatively stable at around 12% for women born between the 1950s and 1970s.
The trend in Japan and Spain has been different: the share of women with no children has grown steeply over recent generations. In Spain, the figure nearly doubled in a decade: from 10% for women born in 1960 to almost 20% for those born in 1970. In Japan, it almost tripled in twenty years.
Explore this data for twenty more countries →
Continue reading
](/data-insights#seventh-most-recent-data-insight)
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[See all our data](/data)
###
Under-five mortality rateLong-run estimates combining data from UN & Gapminder
Under-five mortality rate Long-run estimates combining data from un & gapminder
#### What share of children die before their fifth birthday?
What could be more tragic than the death of a young child? Child mortality, the death of children under the age of five, is still [extremely common](https://ourworldindata.org/much-better-awful-can-be-better) in our world today.
The historical data makes clear that it doesn’t have to be this way: it [is possible](https://ourworldindata.org/child-mortality-big-problem-in-brief) for societies to protect their children and reduce child mortality to very low rates. For child mortality to reach low levels, many things have to go right at the same time: [good healthcare](https://ourworldindata.org/financing-healthcare), [good nutrition](https://ourworldindata.org/hunger-and-undernourishment), [clean water and sanitation](https://ourworldindata.org/clean-water-sanitation), [maternal health](https://ourworldindata.org/maternal-mortality), and high [living standards](https://ourworldindata.org/economic-growth). We can, therefore, think of [child mortality](https://ourworldindata.org/child-mortality) as a proxy indicator of a country’s living conditions.
The chart shows our long-run data on child mortality, which allows you to see how child mortality has changed in countries around the world.
[Explore and learn more about this data](https://ourworldindata.org/grapher/child-mortality?time=earliest..latest)
[Explore and learn more about this data](https://ourworldindata.org/grapher/child-mortality?time=earliest..latest)
###
Share of population living in extreme povertyWorld Bank
[
Share of population living in extreme povertyWorld Bank
](https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty)
Share of population living in extreme poverty World bank
#### What share of the population lives in extreme poverty?
The UN sets the “International Poverty Line” as a worldwide comparable definition for extreme poverty. Extreme poverty is currently defined as living on less than $2.15 per day. This indicator, published by the World Bank, has successfully drawn attention to the terrible depths of poverty of the poorest people in the world.
Two centuries ago, [the majority](https://ourworldindata.org/extreme-poverty-in-brief) of the world’s population was extremely poor. Back then, it was widely believed that widespread poverty was inevitable. This turned out to be wrong. Economic growth is possible and [makes it possible](https://ourworldindata.org/what-is-economic-growth) for entire societies to leave the deep poverty of the past behind. Whether or not countries are leaving the worst poverty behind can be monitored by relying on this indicator.
[Explore and learn more about this data](https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty)
[](https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty)
[Explore and learn more about this data](https://ourworldindata.org/grapher/share-of-population-in-extreme-poverty)
###
Life expectancy at birthLong-run estimates collated from multiple sources by Our World in Data
[
Life expectancy at birthLong-run estimates collated from multiple sources by Our World in Data
](https://ourworldindata.org/grapher/life-expectancy)
Life expectancy at birth Long-run estimates collated from multiple sources by our world in data
#### How has people’s life expectancy changed over time?
Across the world, people are living longer. In 1900, the global average life expectancy of a newborn was 32 years. By 2021, this had more than doubled to 71 years.
Big improvements were achieved by countries [around the world](https://ourworldindata.org/life-expectancy-globally). The chart shows that life expectancy has more than doubled in every region of the world. This improvement is not only due to declining child mortality; life expectancy increased [at all ages](https://ourworldindata.org/its-not-just-about-child-mortality-life-expectancy-improved-at-all-ages).
This visualization shows long-run estimates of life expectancy brought together by our team from several different data sources. It also shows that the [COVID-19 pandemic](https://ourworldindata.org/coronavirus) led to reduced life expectancy worldwide.
[Explore and learn more about this data](https://ourworldindata.org/grapher/life-expectancy)
[](https://ourworldindata.org/grapher/life-expectancy)
[Explore and learn more about this data](https://ourworldindata.org/grapher/life-expectancy)
###
Per capita COâ‚‚ emissionsLong-run estimates from the Global Carbon Budget
[
Per capita COâ‚‚ emissionsLong-run estimates from the Global Carbon Budget
](https://ourworldindata.org/grapher/co-emissions-per-capita?tab=chart&country=USA~GBR~CHN~ZAF~PAN)
Per capita COâ‚‚ emissions Long-run estimates from the global carbon budget
#### How have COâ‚‚ emissions per capita changed?
The main source of carbon dioxide (CO2) emissions is the burning of fossil fuels. It is the primary [greenhouse gas](https://ourworldindata.org/co2-and-greenhouse-gas-emissions) causing [climate change](https://ourworldindata.org/explorers/climate-change).
Globally, CO2 emissions have remained at just below 5 tonnes per person for over a decade. Between countries, however, there are large differences, and while emissions are rapidly increasing in some countries, they are rapidly falling in others.
The source for this CO2 data is the Global Carbon Budget, a dataset we update yearly as soon as it is published. In addition to these production-based emissions, they publish consumption-based emissions for the last three decades, which can be viewed in our [Greenhouse Gas Emissions Data Explorer](https://ourworldindata.org/explorers/co2?facet=none&country=CHN~USA~IND~FRA&Gas+or+Warming=CO%E2%82%82&Accounting=Consumption-based&Fuel+or+Land+Use+Change=All+fossil+emissions&Count=Per+capita).
[Explore and learn more about this data](https://ourworldindata.org/grapher/co-emissions-per-capita?tab=chart&country=USA~GBR~CHN~ZAF~PAN)
[](https://ourworldindata.org/grapher/co-emissions-per-capita?tab=chart&country=USA~GBR~CHN~ZAF~PAN)
[Explore and learn more about this data](https://ourworldindata.org/grapher/co-emissions-per-capita?tab=chart&country=USA~GBR~CHN~ZAF~PAN)
###
GDP per capitaLong-run estimates from the Maddison Project Database
[
GDP per capitaLong-run estimates from the Maddison Project Database
](https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database)
GDP per capita Long-run estimates from the maddison project database
#### How do average incomes compare between countries around the world?
GDP per capita is a very comprehensive measure of people’s [average income](https://ourworldindata.org/what-is-economic-growth). This indicator reveals how large the inequality between people in different countries is. In the poorest countries, people live on less than $1,000 per year, while in rich countries, the average income is more than 50 times higher.
The data shown is sourced from the Maddison Project Database. Drawing together the careful work of hundreds of economic historians, the particular value of this data lies in the historical coverage it provides. This data makes clear that the vast majority of people in all countries [were poor](https://ourworldindata.org/extreme-history-methods) in the past. It allows us to understand when and how the [economic growth](https://ourworldindata.org/economic-growth) that made it possible [to leave](https://ourworldindata.org/breaking-the-malthusian-trap) the deep poverty of the past behind was achieved.
[Explore and learn more about this data](https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database)
[](https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database)
[Explore and learn more about this data](https://ourworldindata.org/grapher/gdp-per-capita-maddison-project-database)
###
Share of people that are undernourishedFAO
[
Share of people that are undernourishedFAO
](https://ourworldindata.org/grapher/prevalence-of-undernourishment)
Share of people that are undernourished Fao
#### What share of the population is suffering from hunger?
[Hunger](https://ourworldindata.org/hunger-and-undernourishment) has been a severe problem for most of humanity throughout history. Growing enough food to feed one’s family was a constant struggle in daily life. Food shortages, malnutrition, and [famines](https://ourworldindata.org/famines) were common around the world.
The UN’s Food and Agriculture Organization publishes global data on undernourishment, defined as not consuming enough calories to maintain a normal, active, healthy life. These minimum requirements vary by a person’s sex, weight, height, and activity levels. This is considered in these national and global estimates.
The world has made much progress in reducing global hunger in recent decades. But we are still far away from an end to hunger, as this indicator shows. Tragically, nearly one in ten people still do not get enough food to eat and in recent years — especially during the pandemic — hunger levels have increased.
[Explore and learn more about this data](https://ourworldindata.org/grapher/prevalence-of-undernourishment)
[](https://ourworldindata.org/grapher/prevalence-of-undernourishment)
[Explore and learn more about this data](https://ourworldindata.org/grapher/prevalence-of-undernourishment)
###
Literacy rateLong-run estimates collated from multiple sources by Our World in Data
[
Literacy rateLong-run estimates collated from multiple sources by Our World in Data
](https://ourworldindata.org/grapher/cross-country-literacy-rates?country=RUS~GBR~NLD~CRI~ISR~SGP~CHL~CHN~MAC~OWID_WRL~IND~TZA)
Literacy rate Long-run estimates collated from multiple sources by our world in data
#### When has literacy become a widespread skill?
Literacy is a foundational skill. Children need to learn to read so that they can read to learn. When we fail to teach this foundational skill, people have fewer opportunities to lead the rich and interesting lives that a good education offers.
The historical data shows that only a very small share of the population, a tiny elite, was able to read and write. Over the course of the last few generations, literacy levels increased, but [it remains](https://ourworldindata.org/better-learning) an important challenge for our time to provide this foundational skill to all.
At Our World in Data, [we investigated](https://ourworldindata.org/how-is-literacy-measured) the strengths and shortcomings of the available data on literacy. Based on this work, our team brought together the long-run data shown in the chart by combining several different sources, including the World Bank, the CIA Factbook, and a range of research publications.
[Explore and learn more about this data](https://ourworldindata.org/grapher/cross-country-literacy-rates?country=RUS~GBR~NLD~CRI~ISR~SGP~CHL~CHN~MAC~OWID_WRL~IND~TZA)
[](https://ourworldindata.org/grapher/cross-country-literacy-rates?country=RUS~GBR~NLD~CRI~ISR~SGP~CHL~CHN~MAC~OWID_WRL~IND~TZA)
[Explore and learn more about this data](https://ourworldindata.org/grapher/cross-country-literacy-rates?country=RUS~GBR~NLD~CRI~ISR~SGP~CHL~CHN~MAC~OWID_WRL~IND~TZA)
###
Share of the population with access to electricityWorld Bank
[
Share of the population with access to electricityWorld Bank
](https://ourworldindata.org/grapher/share-of-the-population-with-access-to-electricity?time=latest)
Share of the population with access to electricity World bank
#### Where do people lack access to even the most basic electricity supply?
[Light at night](https://ourworldindata.org/light-at-night) makes it possible to get together after sunset; [mobile phones](https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people) allow us to stay in touch with those far away; the refrigeration of food reduces food waste; and [household appliances](https://ourworldindata.org/grapher/technology-adoption-by-households-in-the-united-states) free up time from household chores. Access to electricity improves people’s living conditions in many ways.
The World Bank data on the world map captures whether people have access to the _[most basic](https://ourworldindata.org/definition-electricity-access)_ electricity supply — just enough to provide basic lighting and charge a phone or power a radio for 4 hours per day.
It shows that, especially in several African countries, a large share of the population lacks the benefits that basic electricity offers. No radio and no light at night.
[Explore and learn more about this data](https://ourworldindata.org/grapher/share-of-the-population-with-access-to-electricity?time=latest)
[](https://ourworldindata.org/grapher/share-of-the-population-with-access-to-electricity?time=latest)
[Explore and learn more about this data](https://ourworldindata.org/grapher/share-of-the-population-with-access-to-electricity?time=latest)
Data explorers
--------------
[See all our Data Explorers](/explorers)
Interactive visualization tools to explore a wide range of related indicators.
[
Poverty
Data Explorer
](https://ourworldindata.org/explorers/poverty-explorer)[
Population & Demography
Data Explorer
](https://ourworldindata.org/explorers/population-and-demography)[
Global Health
Data Explorer
](https://ourworldindata.org/explorers/global-health)[
Energy
Data Explorer
](https://ourworldindata.org/explorers/energy)
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All our topics
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All our data, research, and writing — topic by topic.
Population and Demographic Change
---------------------------------
* Population Change:
* [Population Growth](/population-growth)
* [Age Structure](/age-structure)
* [Gender Ratio](/gender-ratio)
* Births & Deaths:
* [Life Expectancy](/life-expectancy)
* [Fertility Rate](/fertility-rate)
* [Child & Infant Mortality](/child-mortality)
* Geography of the World Population:
* [Urbanization](/urbanization)
* [Migration](/migration)
Health
------
* Life & Death:
* [Global Health](/health-meta)
* [Causes of Death](/causes-of-death)
* [Child & Infant Mortality](/child-mortality)
* [Burden of Disease](/burden-of-disease)
* [Life Expectancy](/life-expectancy)
* [Mental Health](/mental-health)
* [Suicides](/suicide)
* [Cardiovascular Diseases](/cardiovascular-diseases)
* [Cancer](/cancer)
* [Maternal Mortality](/maternal-mortality)
* Health Risks:
* [Air Pollution](/air-pollution)
* [Outdoor Air Pollution](/outdoor-air-pollution)
* [Indoor Air Pollution](/indoor-air-pollution)
* [Lead Pollution](/lead-pollution)
* [Alcohol Consumption](/alcohol-consumption)
* [Illicit Drug Use](/illicit-drug-use)
* [Obesity](/obesity)
* [Smoking](/smoking)
* Infectious Diseases:
* [Pandemics](/pandemics)
* [COVID-19](/coronavirus)
* [Malaria](/malaria)
* [HIV/AIDS](/hiv-aids)
* [Diarrheal Diseases](/diarrheal-diseases)
* [Tuberculosis](/tuberculosis)
* [Polio](/polio)
* [Neglected Tropical Diseases](/neglected-tropical-diseases)
* [Influenza](/influenza)
* [Pneumonia](/pneumonia)
* [Tetanus](/tetanus)
* [Mpox (monkeypox)](/mpox)
* [Smallpox](/smallpox)
* Health Institutions & Interventions:
* [Eradication of Diseases](/eradication-of-diseases)
* [Vaccination](/vaccination)
* [Antibiotics & Antibiotic Resistance](/antibiotics)
* [Healthcare Spending](/financing-healthcare)
Energy and Environment
----------------------
* Climate & Air:
* [Climate Change](/climate-change)
* [CO2 & Greenhouse Gas Emissions](/co2-and-greenhouse-gas-emissions)
* [Air Pollution](/air-pollution)
* [Outdoor Air Pollution](/outdoor-air-pollution)
* [Indoor Air Pollution](/indoor-air-pollution)
* [Ozone Layer](/ozone-layer)
* Energy Systems:
* [Energy](/energy)
* [Access to Energy](/energy-access)
* [Energy Mix](/energy-mix)
* [Fossil Fuels](/fossil-fuels)
* [Nuclear Energy](/nuclear-energy)
* [Renewable Energy](/renewable-energy)
* [Metals & Minerals](/metals-minerals)
* Environment & Ecosystems:
* [Natural Disasters](/natural-disasters)
* [Biodiversity](/biodiversity)
* [Environmental Impacts of Food Production](/environmental-impacts-of-food)
* [Fish & Overfishing](/fish-and-overfishing)
* [Animal Welfare](/animal-welfare)
* [Land Use](/land-use)
* [Water Use & Stress](/water-use-stress)
* [Forests & Deforestation](/forests-and-deforestation)
* [Wildfires](/wildfires)
* Waste & Pollution:
* [Plastic Pollution](/plastic-pollution)
* [Oil Spills](/oil-spills)
* [Lead Pollution](/lead-pollution)
* [Waste Management](/waste-management)
* [Clean Water & Sanitation](/clean-water-sanitation)
* [Clean Water](/clean-water)
* [Sanitation](/sanitation)
* Electricity:
* [Electricity Mix](/electricity-mix)
Food and Agriculture
--------------------
* Food Production:
* [Agricultural Production](/agricultural-production)
* [Meat & Dairy Production](/meat-production)
* [Fish & Overfishing](/fish-and-overfishing)
* [Crop Yields](/crop-yields)
* [Animal Welfare](/animal-welfare)
* [Environmental Impacts of Food Production](/environmental-impacts-of-food)
* [Farm Size](/farm-size)
* Agricultural Inputs:
* [Land Use](/land-use)
* [Fertilizers](/fertilizers)
* [Pesticides](/pesticides)
* [Employment in Agriculture](/employment-in-agriculture)
* Nutrition:
* [Hunger & Undernourishment](/hunger-and-undernourishment)
* [Food Supply](/food-supply)
* [Food Prices](/food-prices)
* [Obesity](/obesity)
* [Famines](/famines)
* [Diet Compositions](/diet-compositions)
* [Micronutrient Deficiency](/micronutrient-deficiency)
* [Human Height](/human-height)
Poverty and Economic Development
--------------------------------
* Poverty & Prosperity:
* [Poverty](/poverty)
* [Economic Growth](/economic-growth)
* [Economic Inequality](/economic-inequality)
* [Foreign Aid](/foreign-aid)
* [Economic Inequality by Gender](/economic-inequality-by-gender)
* Public Sector:
* [Government Spending](/government-spending)
* [State Capacity](/state-capacity)
* [Taxation](/taxation)
* [Corruption](/corruption)
* [Healthcare Spending](/financing-healthcare)
* [Education Spending](/financing-education)
* [Military Personnel & Spending](/military-personnel-spending)
* Labor:
* [Women's Employment](/female-labor-supply)
* [Child Labor](/child-labor)
* [Working Hours](/working-hours)
* Global Connections:
* [Trade & Globalization](/trade-and-globalization)
* [Migration](/migration)
* [Tourism](/tourism)
* [Clean Water & Sanitation](/clean-water-sanitation)
* [Clean Water](/clean-water)
* [Sanitation](/sanitation)
Education and Knowledge
-----------------------
* Education:
* [Global Education](/global-education)
* [Literacy](/literacy)
* [Education Spending](/financing-education)
* Knowledge:
* [Research & Development](/research-and-development)
* [Internet](/internet)
* [Books](/books)
Innovation and Technological Change
-----------------------------------
* [Technological Change](/technological-change)
* [Research & Development](/research-and-development)
* [Artificial Intelligence](/artificial-intelligence)
* [Internet](/internet)
* [Space Exploration & Satellites](/space-exploration-satellites)
* [Transport](/transport)
Living Conditions, Community and Wellbeing
------------------------------------------
* Housing & Infrastructure:
* [Homelessness](/homelessness)
* [Access to Energy](/energy-access)
* [Indoor Air Pollution](/indoor-air-pollution)
* [Clean Water & Sanitation](/clean-water-sanitation)
* [Clean Water](/clean-water)
* [Sanitation](/sanitation)
* [Light at Night](/light-at-night)
* [Time Use](/time-use)
* [Working Hours](/working-hours)
* Relationships:
* [Marriages & Divorces](/marriages-and-divorces)
* [Loneliness & Social Connections](/social-connections-and-loneliness)
* [Trust](/trust)
* Happiness & Wellbeing:
* [Happiness & Life Satisfaction](/happiness-and-life-satisfaction)
* [Human Development Index (HDI)](/human-development-index)
Human Rights and Democracy
--------------------------
* [Human Rights](/human-rights)
* [Democracy](/democracy)
* [State Capacity](/state-capacity)
* [Women's Rights](/women-rights)
* [LGBT+ Rights](/lgbt-rights)
* [Corruption](/corruption)
* [Economic Inequality by Gender](/economic-inequality-by-gender)
* [Child Labor](/child-labor)
* [Violence Against Children & Children's Rights](/violence-against-rights-for-children)
Violence and War
----------------
* [War & Peace](/war-and-peace)
* [Nuclear Weapons](/nuclear-weapons)
* [Homicides](/homicides)
* [Terrorism](/terrorism)
* [State Capacity](/state-capacity)
* [Military Personnel & Spending](/military-personnel-spending)
* [Violence Against Children & Children's Rights](/violence-against-rights-for-children)
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