As of 2023, the countries with the highest life expectancy included Liechtenstein, Switzerland, and Japan. In Japan, a person could expect to live up to around ** years. In general, the life expectancy for females is higher than that of males, with lifestyle choices and genetics the two major determining factors of life expectancy. Life expectancy worldwide The overall life expectancy worldwide has increased since the development of modern medicine and technology. In 2011, the global life expectancy was **** years. By 2023, it had increased to **** years. However, the years 2020 and 2021 saw a decline in global life expectancy due to the COVID-19 pandemic. Furthermore, not every country has seen a substantial increase in life expectancy. In Nigeria, for example, the life expectancy is only ** years, almost ***years shorter than the global average. In addition to Nigeria, the countries with the shortest life expectancy include Chad, Lesotho, and the Central African Republic. Life expectancy in the U.S. In the United States, life expectancy at birth is currently ***** years. Life expectancy in the U.S. generally increases every year, however, over the past decade, life expectancy has seen some surprising decreases. The major contributing factors to this drop have been the ongoing opioid epidemic, which claimed around ****** lives in 2022 alone, and the COVID-19 pandemic.

As of 2023, the countries with the highest life expectancy included Switzerland, Japan, and Spain. As of that time, a new-born child in Switzerland could expect to live an average of 84.2 years. Around the world, females consistently have a higher average life expectancy than males, with females in Europe expected to live an average of six years longer than males on this continent. Increases in life expectancy The overall average life expectancy in OECD countries increased by 11.3 years from 1970 to 2019. The countries that saw the largest increases included Turkey, India, and South Korea. The life expectancy at birth in Turkey increased an astonishing 24.4 years over this period. The countries with the lowest life expectancy worldwide as of 2022 were Chad, Lesotho, and Nigeria, where a newborn could be expected to live an average of 53 years. Life expectancy in the U.S. The life expectancy in the United States was 77.43 years as of 2022. Shockingly, the life expectancy in the United States has decreased in recent years, while it continues to increase in other similarly developed countries. The COVID-19 pandemic and increasing rates of suicide and drug overdose deaths from the opioid epidemic have been cited as reasons for this decrease.

The countries with the lowest life expectancy worldwide include the Nigeria, Chad, and Lesotho. As of 2023, people born in Nigeria could be expected to live only up to ** years. This is almost ** years shorter than the global life expectancy. Life expectancy The global life expectancy has gradually increased over the past couple decades, rising from **** years in 2011 to **** years in 2023. However, the years 2020 and 2021 saw a decrease in global life expectancy due to the COVID-19 pandemic. Furthermore, life expectancy can vary greatly depending on the country and region. For example, all the top 20 countries with the lowest life expectancy worldwide are in Africa. The countries with the highest life expectancy include Liechtenstein, Switzerland, and Japan. Causes of death The countries with the lowest life expectancy worldwide are all low-income or developing countries that lack health care access and treatment that more developed countries can provide. The leading causes of death in these countries therefore differ from those of middle-income and upper-income countries. The leading causes of death in low-income countries include diseases such as HIV/AIDS and malaria, as well as preterm birth complications, which do not cause substantial death in higher income countries.

The average for 2022 based on 24 countries was 74.31 years. The highest value was in Bermuda: 81.57 years and the lowest value was in Haiti: 63.73 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

The average for 2022 based on 12 countries was 72.9 years. The highest value was in Chile: 79.52 years and the lowest value was in Bolivia: 64.93 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

The average for 2022 based on 47 countries was 77.29 years. The highest value was in Macao: 87.98 years and the lowest value was in Afghanistan: 66.21 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

This statistic shows a ranking of 20 countries with the lowest life expectancy for people born in 2009. People who were born in Angola in 2009, at that moment had a life expectancy of 47.6 years.

Monaco had the highest life expectancy among both men and women worldwide as of 2024. That year, life expectancy for men and women was ** and ** years, respectively. The East Asian countries and regions, Hong Kong, Japan, South Korea, and Macao, followed. Many of the countries on the list are struggling with aging populations and a declining workforce as more people enter retirement age compared to people entering employment.

In 2023, the average life expectancy of the world was 70 years for men and 75 years for women. The lowest life expectancies were found in Africa, while Oceania and Europe had the highest.

What is life expectancy?

Life expectancy is defined as a statistical measure of how long a person may live, based on demographic factors such as gender, current age, and most importantly the year of their birth. The most commonly used measure of life expectancy is life expectancy at birth or at age zero. The calculation is based on the assumption that mortality rates at each age were to remain constant in the future.

Life expectancy has changed drastically over time, especially during the past 200 years. In the early 20th century, the average life expectancy at birth in the developed world stood at 31 years. It has grown to an average of 70 and 75 years for males and females respectively, and is expected to keep on growing with advances in medical treatment and living standard continuing.

Highest and lowest life expectancy worldwide

Life expectancy still varies greatly between different regions and countries of the world. The biggest impact on life expectancy is the quality of public health, medical care, and diet. As of 2021, the countries with the highest life expectancy were Japan, Liechtenstein, Switzerland, and South Korea, all at 84 years. Most of the countries with the lowest life expectancy are mostly African countries. The ranking was led by the Chad, Nigeria, and Lesotho with 53 years.

The ranking of countries by average age of the population shows at one end of the spectrum the countries with the highest average age of the population. At the other end are the countries with the youngest populations: they usually have high birth rates and not very long life expectancy.

China life expectancy for 2025 is 77.81, a 0.22% increase from 2024.

<ul style='margin-top:20px;'>

<li>China life expectancy for 2024 was <strong>77.64</strong>, a <strong>0.22% increase</strong> from 2023.</li>
<li>China life expectancy for 2023 was <strong>77.47</strong>, a <strong>0.22% increase</strong> from 2022.</li>
<li>China life expectancy for 2022 was <strong>77.30</strong>, a <strong>0.22% increase</strong> from 2021.</li>
</ul>Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.

The average for 2022 based on 52 countries was 72.23 years. The highest value was in the Maldives: 80.84 years and the lowest value was in Namibia: 58.06 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

Historical chart and dataset showing U.S. life expectancy by year from 1950 to 2025.

The average for 2022 based on 44 countries was 81.91 years. The highest value was in Spain: 85.9 years and the lowest value was in Moldova: 73.32 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

Analysis of ‘Life Expectancy of the World’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/amansaxena/lifeexpectancy on 13 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains 6 columns and 223 Rows. Each row corresponds to a country in order of their life expectancy rank. The dataset has three numeric columns, Overall Life Expectancy, Male Life Expectancy and Female Life Expectancy. The last column is Continent, which defines which continent that country lies in. This could be very well used as a class for the data.

This data can be used for classification by various techniques like SVM(linear), KNN, C.45 etc. and other supervised and unsupervised techniques.

--- Original source retains full ownership of the source dataset ---

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

Context:

The "Global Happiness Index and Homicide Rate Dataset" provides a comprehensive overview of happiness rankings and homicide rates for countries around the world. This dataset is a valuable resource for researchers, analysts, policymakers, and anyone interested in exploring the relationship between happiness and crime rates. It combines two critical dimensions of a country's well-being: its citizens' happiness levels and the prevalence of homicides.

Content:

1.**Countries:** This column contains the names of the countries included in the dataset. It serves as the primary identifier for each data entry.

2.**Global Rank:** This column indicates the global ranking of each country based on its happiness index. The happiness index measures the overall well-being and contentment of a nation's citizens, taking into account factors like income, social support, life expectancy, freedom to make life choices, trust in government, and generosity. A lower rank suggests a higher level of happiness.

3.**Available Data:** This column provides information about the completeness and reliability of the data for each country. It may indicate whether there are missing values, data quality issues, or other relevant notes regarding the dataset's integrity.

This dataset can be used for various analytical purposes, such as:

• Exploratory Data Analysis (EDA): Researchers can explore the relationship between a country's happiness ranking and its homicide rate to identify potential correlations or patterns.

• Geospatial Analysis: Analysts can create maps and visualizations to display the geographic distribution of happiness rankings and homicide rates.

• Policy Insights: Policymakers can use this dataset to inform decisions related to public safety, social programs, and well-being initiatives.

• Machine Learning and Predictive Modeling: Data scientists can build predictive models to understand the factors that contribute to happiness and to forecast potential changes in homicide rates.

This statistic shows the average life expectancy in Europe for those born in 2024, by gender and region. The average life expectancy in Western Europe was 79 years for males and 84 years for females in 2024. Additional information on European life expectancy The difference in life expectancy seen between men and women across all European regions is in line with the global trends of women outliving men, on average. The average life expectancy at birth worldwide by income group shows that the gender life expectancy gap is not only a consistent trend across countries, but also income groups. Moreover, the higher life expectancy for those in high income groups may help to explain the lower average life expectancy for those born in Eastern Europe where average incomes are generally lower than other European regions. Although income and length of life are not directly correlated, higher income individuals are generally able to afford access to superior nutrition and healthcare as well as having leisure time for exercise. That said, current trends in the increases in life expectancy worldwide by country between 1970 and 2017 suggest economic growth will lead to larger increases in life expectancy. Those increases are less likely to occur to such a degree in the more developed regions of Europe where Italy, Spain, France, Switzerland, Iceland and Austria all rank in the top 20 countries with the highest life expectancy.

Japan life expectancy for 2025 is 85.27, a 0.14% increase from 2024.

<ul style='margin-top:20px;'>

<li>Japan life expectancy for 2024 was <strong>85.15</strong>, a <strong>0.14% increase</strong> from 2023.</li>
<li>Japan life expectancy for 2023 was <strong>85.03</strong>, a <strong>0.14% increase</strong> from 2022.</li>
<li>Japan life expectancy for 2022 was <strong>84.91</strong>, a <strong>0.14% increase</strong> from 2021.</li>
</ul>Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.

Quality of Life Index (higher is better) is an estimation of overall quality of life by using an empirical formula which takes into account purchasing power index (higher is better), pollution index (lower is better), house price to income ratio (lower is better), cost of living index (lower is better), safety index (higher is better), health care index (higher is better), traffic commute time index (lower is better) and climate index (higher is better).

Current formula (written in Java programming language):

index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 10 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

For details how purchasing power (including rent) index, pollution index, property price to income ratios, cost of living index, safety index, climate index, health index and traffic index are calculated please look up their respective pages.

Formulas used in the past

Formula used between June 2017 and Decembar 2017

We decided to decrease weight from costOfLivingIndex in this formula:

index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 5 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for 2017 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others.

Quality of life index, link: https://www.numbeo.com/quality-of-life/indices_explained.jsp

Happiness store, link: https://www.kaggle.com/unsdsn/world-happiness/home