This statistic shows the average life expectancy in North America for those born in 2022, by gender and region. In Canada, the average life expectancy was 80 years for males and 84 years for females.

Life expectancy in North America

Of those considered in this statistic, the life expectancy of female Canadian infants born in 2021 was the longest, at 84 years. Female infants born in America that year had a similarly high life expectancy of 81 years. Male infants, meanwhile, had lower life expectancies of 80 years (Canada) and 76 years (USA).

Compare this to the worldwide life expectancy for babies born in 2021: 75 years for women and 71 years for men. Of continents worldwide, North America ranks equal first in terms of life expectancy of (77 years for men and 81 years for women). Life expectancy is lowest in Africa at just 63 years and 66 years for males and females respectively. Japan is the country with the highest life expectancy worldwide for babies born in 2020.

Life expectancy is calculated according to current mortality rates of the population in question. Global variations in life expectancy are caused by differences in medical care, public health and diet, and reflect global inequalities in economic circumstances. Africa’s low life expectancy, for example, can be attributed in part to the AIDS epidemic. In 2019, around 72,000 people died of AIDS in South Africa, the largest amount worldwide. Nigeria, Tanzania and India were also high on the list of countries ranked by AIDS deaths that year. Likewise, Africa has by far the highest rate of mortality by communicable disease (i.e. AIDS, neglected tropics diseases, malaria and tuberculosis).

From the mid-19th century until today, life expectancy at birth in the United States has roughly doubled, from 39.4 years in 1850 to 79.6 years in 2025. It is estimated that life expectancy in the U.S. began its upward trajectory in the 1880s, largely driven by the decline in infant and child mortality through factors such as vaccination programs, antibiotics, and other healthcare advancements. Improved food security and access to clean water, as well as general increases in living standards (such as better housing, education, and increased safety) also contributed to a rise in life expectancy across all age brackets. There were notable dips in life expectancy; with an eight year drop during the American Civil War in the 1860s, a seven year drop during the Spanish Flu empidemic in 1918, and a 2.5 year drop during the Covid-19 pandemic. There were also notable plateaus (and minor decreases) not due to major historical events, such as that of the 2010s, which has been attributed to a combination of factors such as unhealthy lifestyles, poor access to healthcare, poverty, and increased suicide rates, among others. However, despite the rate of progress slowing since the 1950s, most decades do see a general increase in the long term, and current UN projections predict that life expectancy at birth in the U.S. will increase by another nine years before the end of the century.

Life expectancy at birth, female (years) in United States was reported at 81.1 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Life expectancy at birth, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

In 2024, the average life expectancy in the world was 71 years for men and 76 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 standards 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 2022, the countries with the highest life expectancy were Japan, Liechtenstein, Switzerland, and Australia, all at 84–83 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 53–54 years.

The total life expectancy at birth in the United States stood at 78.39 years in 2023. Between 1960 and 2023, the life expectancy at birth rose by 8.62 years, though the increase followed an uneven trajectory rather than a consistent upward trend.

In 2023, a woman in the United States aged 65 years could expect to live another **** years on average. This number decreased in the years 2020 and 2021, after reaching a high of **** years in 2019. Nevertheless, the life expectancy of a woman aged 65 years in the United States is still higher than that of a man of that age. In 2023, a man aged 65 years could be expected to live another 18.2 years on average. Why has the life expectancy in the U.S. declined? Overall, life expectancy in the United States has declined in recent years. In 2019, the life expectancy for U.S. women was **** years, but by 2023 it had decreased to **** years. Likewise, the life expectancy for men decreased from **** years to **** years in the same period. The biggest contributors to this decline in life expectancy are the COVID-19 pandemic and the opioid epidemic. Although deaths from the COVID-19 pandemic have decreased significantly since 2022, deaths from opioid overdose continue to increase, reaching all-time highs in 2022. The leading causes of death among U.S. women The leading causes of death among women in the United States in 2022 were heart disease, cancer, stroke, and COVID-19. That year, heart disease and cancer accounted for a combined **** percent of all deaths among women, while around *** percent of deaths were due to COVID-19. The overall leading causes of death in the United States generally reflect the leading causes among women, with some slight variations. For example, Alzheimer’s disease is the ***** leading cause of death among women but the ******* leading cause of death overall in the United States.

Retirement Age Men in the United States increased to 66.83 Years in 2025 from 66.67 Years in 2024. This dataset provides - United States Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

UIS: Mean years of schooling (ISCED 1 or higher), population 25+ years, male in United States was reported at 13.71 Years in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Mean years of schooling of the population age 25+. Male - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

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.

Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

The median age in the United States reached 39.2 years in 2024. This was up from 28.1 in 1970, reflecting a significant aging of the population. Over the coming decades, the number of retirees is projected to rise by about 40 percent by 2050. This demographic shift will present new challenges to American society, reshaping patterns of consumption, work and public policy in the decades ahead. Can an older America balance the books? Social Security spending is set to rise as America grows older. The program, which is the government’s main pillar of support for retirees, already absorbs about five percent of GDP. This could reach six percent by 2035. That trajectory will keep pressure on policymakers to balance promises to pensioners with broader fiscal constraints. A world growing older The aging trend is not unique to the U.S. The global median age reached 30.9 in 2025, up from 20.3 in 1970. By 2050, China, Japan and South Korea are expected to rank among the countries with the largest shares of people aged 65 and over. The change will oblige policymakers to adapt long-standing arrangements to societies where a larger share of people are in later life.

Abstract

The Government of the Republic of Zambia conducted the 2024 Zambia Demographic and Health Survey (2024 ZDHS). The survey was implemented by the Zambia Statistics Agency (ZamStats) in partnership with the Ministry of Health (MoH), the University Teaching Hospital Virology Laboratory (UTH-VL), the National Health Research and Training Institute (NHRTI) formerly the Tropical Diseases Research Centre (TDRC), and the Department of Demography, Population Sciences, Monitoring and Evaluation at the University of Zambia (UNZA).

The primary objective of the 2024 ZDHS is to provide up-to-date estimates of basic demographic and health indicators as well as indicators related to the Sustainable Development Goals (SDGs). Specifically, the ZDHS collected information on: - Fertility levels, fertility preferences, and contraceptive use - Maternal health, including antenatal and delivery care and maternal mortality - Child mortality and child heath, including childhood diseases and vaccination coverage - Nutritional status of children under age 5 and women age 15–49 (via weight and height measurements) - Anemia prevalence among children age 6–59 months and women age 15–49 - Availability of, access to, and use of insecticide-treated nets (ITNs) - Awareness of HIV and behavioral risk factors - HIV prevalence among men age 15–59, women age 15–49, and children age 2–14 - Gender-based violence

The information collected through the 2024 ZDHS is intended to assist policymakers and programme managers in evaluating and designing programmes and strategies for improving the health of Zambia’s population.

Geographic coverage

National

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15 to 59

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-59, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame used for the 2024 ZDHS was based on the 2022 Census of Population and Housing of the Republic of Zambia (2022 CPH), conducted by the Zambia Statistics Agency. Zambia is administratively divided into 10 provinces, with each province subdivided into districts, each district into constituencies, and each constituency into wards. There are in total 116 districts, 156 constituencies, and 1,858 wards. In addition to these administrative units, during the 2022 CPH each ward was subdivided into enumeration areas (EA) that served as counting units for the population census. There are in total 36,770 EAs. EAs are classified into two types, urban EAs and rural EAs. Among the 36,770 EAs, 13,273 are urban and 23,497 are rural. Each EA has two measures of size, the size of the population and the number of households in the EA. The average EA size is 111 households; urban EAs are larger on average than rural EAs (143 households and 93 households, respectively).

The 2024 ZDHS sample was stratified and selected in two stages. The first stage involved selecting sample points (clusters) consisting of EAs. Each province was stratified into urban and rural areas, yielding 20 sampling strata in total. EAs were selected with a probability proportional to their size within each sampling stratum. A total of 545 clusters were selected. The second stage involved systematic sampling of households. A household listing exercise was undertaken in all of the selected clusters. During the listing, an average of 111 households were found in each cluster, from which a fixed number of 25 households were selected through an equal probability systematic selection process, to obtain a total sample size of 13,625 households. Results from this sample are representative at the national, urban and rural, and provincial levels. All women age 15–49 and men age 15–59 who were either permanent residents of the selected households or were visitors who stayed in the households the night before the survey were eligible to be interviewed.

For further details on sample design, see APPENDIX A of the final report.

Mode of data collection

Face-to-face computer-assisted interviews [capi]

Research instrument

Four questionnaires were used for the 2024 ZDHS: the Household Questionnaire, the Woman’s Questionnaire, the Man’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to Zambia. In addition, a self-administered Fieldworker Questionnaire collected information about the survey’s fieldworkers. The Household, Man’s, and Woman’s Questionnaires were administered in eight major languages: English, Bemba, Kaonde, Lozi, Lunda, Luvale, Nyanja, and Tonga.

Cleaning operations

The survey data were collected using tablet computers running the Android operating system and Census and Survey Processing System (CSPro) software, jointly developed by the United States Census Bureau, ICF, and Serpro S.A.

The CAPI programme was used for data collection. The programme accepted only valid responses, automatically performed checks on ranges of values, skipped to the appropriate question based on the responses given, and checked the consistency of the data collected. Answers to the survey questions were entered into the tablets by each interviewer. Supervisors downloaded interview data from interviewers’ tablets to their tablet via Bluetooth, checked the data for completeness, and monitored fieldwork progress. Each day, after completion of interviews, field supervisors submitted data to the central server. Data were sent to the central office via secure internet data transfer. The data processing monitors monitored the quality of the data received and downloaded completed data files for completed clusters into the system. ICF provided the CSPro software for data processing and offered technical assistance in the preparation of the data capture, data management, and data editing programmes. Secondary editing was conducted simultaneously with data collection and was completed following data collection on 28 August 2024. Technical support for data processing was provided by ICF.

Response rate

A total of 13,625 households were selected for the ZDHS sample, of which 12,877 were found to be occupied. Of the occupied households, 12,808 were successfully interviewed, yielding a response rate of almost 100%. In the interviewed households, 14,362 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 13,951 women, yielding a response rate of 97%. Also, 13,424 men age 15–59 in the interviewed households were identified as eligible for individual interviews and 12,585 were successfully interviewed, yielding a response rate of 94%.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: non-sampling errors and sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2024 Zambia Demographic and Health Survey (2024 ZDHS) to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2024 ZMDHS is only one of many samples that could have been selected from the same population, using the same design and sample size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus and minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected by simple random sampling, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2024 ZMDHS sample was the result of a multistage stratified cluster design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed using SAS programmes developed by ICF International. These programmes use the Taylor linearization method to estimate variances for survey estimates that are means, medians, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility rates and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables - Household age distribution - Age distribution of eligible and interviewed women - Age distribution of eligible and interviewed men - Age displacement at

A global phenomenon, known as the demographic transition, has seen life expectancy from birth increase rapidly over the past two centuries. In pre-industrial societies, the average life expectancy was around 24 years, and it is believed that this was the case throughout most of history, and in all regions. The demographic transition then began in the industrial societies of Europe, North America, and the West Pacific around the turn of the 19th century, and life expectancy rose accordingly. Latin America was the next region to follow, before Africa and most Asian populations saw their life expectancy rise throughout the 20th century.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

This statistic depicts the age distribution in the United States from 2014 to 2024. In 2024, about 17.32 percent of the U.S. population fell into the 0-14 year category, 64.75 percent into the 15-64 age group and 17.93 percent of the population were over 65 years of age. The increasing population of the United States The United States of America is one of the most populated countries in the world, trailing just behind China and India. A total population count of around 320 million inhabitants and a more-or-less steady population growth over the past decade indicate that the country has steadily improved its living conditions and standards for the population. Leading healthier lifestyles and improved living conditions have resulted in a steady increase of the life expectancy at birth in the United States. Life expectancies of men and women at birth in the United States were at a record high in 2012. Furthermore, a constant fertility rate in recent years and a decrease in the death rate and infant mortality, all due to the improved standard of living and health care conditions, have helped not only the American population to increase but as a result, the share of the population younger than 15 and older than 65 years has also increased in recent years, as can be seen above.

In 2024, Trentino-South Tyrol was the Italian region where both women and men were predicted to live the longest lives in the whole peninsula. In the German-speaking region, the life expectancy at birth of men was almost 83 years, whereas women were expected to live almost 87 years. The second best ranked region was different for males and females. In Veneto, this figure stood at about 82 years for males and in Veneto at 86 years for females. When compared to the country’s average, women in Trentino-South Tyrol were expected to live roughly three years longer. Long life span and low birth rate Around 20 percent of the Italian population in 2023 was above 65 years. Together with a long life expectancy, Italy also has very low birth and fertility rates. In 2024, the country resulted among the 20 states with the lowest fertility rate in the world. One of the longest-living nations From a global perspective, Italy was the ninth country in the world with the highest life expectancy. The inhabitants of Japan and Liechtenstein were expected to live about 84 years, while Italians' life expectancy was of 83 years.

As of July 2024, the largest age group among the United States population were adults aged 30 to 34 years old. There were 11.9 million males and some 12.1 million females in this age cohort. The total population of the country was estimated to be 340.1 million Which U.S. state has the largest population? The United States is the third most populous country in the world. It is preceded by China and India, and followed by Indonesia in terms of national population. The gender distribution in the U.S. has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the largest population. The U.S. population by race and ethnicity The United States poses an ethnically diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

The life expectancy for those who survive one year after a spinal cord injury depends greatly on the severity of the injury and the age of the injured. For example, a 20-year-old who survives one year after a spinal cord injury causing paraplegia can expect to live around 40.7 more years. However, if a 20-year-old survives one year after a high tetraplegia spinal cord injury, they are only expected to live about 28.7 more years on average. How many spinal cord injuries are there every year? In the United States, there are over 18,000 spinal cord injuries every year. As of 2024, there were estimated to be around 308,600 people in the United States living with a spinal cord injury. The average age when spinal injuries occur is 44 years, and vehicular accidents are the most common cause of spinal cord injuries in the United States, followed by falls and violence. Between 2015 and 2024, almost 37 percent of spinal cord injuries in the U.S. were caused by vehicular accidents, while eight percent were caused by sports accidents. The cost of spinal cord injuries Spinal cord injuries can not only impact a person’s daily living and life quality but can also have a substantial financial impact. For example, the average expenses for the first year for someone in the U.S. with a spinal cord injury causing paraplegia was 687,262 U.S. dollars as of 2024. After the first year, someone with this type of injury could expect average yearly expenses of over 91,000 U.S. dollars. All in all, the lifetime costs for a 25-year-old patient with a spinal cord injury causing paraplegia are just over three million U.S. dollars. However, a 25-year-old with a high tetraplegia spinal cord injury could expect lifetime costs of over six million U.S. dollars.

Life expectancy in the United Kingdom was below 39 years in the year 1765, and over the course of the next two and a half centuries, it is expected to have increased by more than double, to 81.1 by the year 2020. Although life expectancy has generally increased throughout the UK's history, there were several times where the rate deviated from its previous trajectory. These changes were the result of smallpox epidemics in the late eighteenth and early nineteenth centuries, new sanitary and medical advancements throughout time (such as compulsory vaccination), and the First world War and Spanish Flu epidemic in the 1910s.

Since 1789, the United States has had 45 different men serve as president, of which five are still alive today. At 78 years and two months, Joe Biden became the oldest man to ascend to the presidency for the first time in 2021, however Donald Trump was older when he re-entered the White House, at 78 years and seven months. Eight presidents have died while in office, including four who were assassinated by gunshot, and four who died of natural causes. The president who died at the youngest age was John F. Kennedy, who was assassinated at 46 years old in Texas in 1963; Kennedy was also the youngest man ever elected to the office of president. The longest living president in history is Jimmy Carter, who celebrated his 100th birthday in just before his death in 2024. The youngest currently-living president is Barack Obama, who turned 63 in August 2024. Coincidentally, presidents Clinton, Bush Jr., and Trump were all born within 66 days of one another, between June and August 1946. George Washington The U.S.' first president, George Washington, died after developing a severe inflammation of the throat, which modern scholars suspect to have been epiglottitis. However, many suspect that it was the treatments used to treat this illness that ultimately led to his death. After spending a prolonged period in cold and wet weather, Washington fell ill and ordered his doctor to let one pint of blood from his body. As his condition deteriorated, his doctors removed a further four pints in an attempt to cure him (the average human has between eight and twelve pints of blood in their body). Washington passed away within two days of his first symptoms showing, leading many to believe that this was due to medical malpractice and not due to the inflammation in his throat. Bloodletting was one of the most common and accepted medical practices from ancient Egyptian and Greek times until the nineteenth century, when doctors began to realize how ineffective it was; today, it is only used to treat extremely rare conditions, and its general practice is heavily discouraged. Zachary Taylor Another rare and disputed cause of death for a U.S. president was that of Zachary Taylor, who died sixteen months into his first term in office. Taylor had been celebrating the Fourth of July in the nation's capital in 1850, where he began to experience stomach cramps after eating copious amounts of cherries, other fruits, and iced milk. As his condition worsened, he drank a large amount of water in an attempt to alleviate his symptoms, but to no avail. Taylor died of gastroenteritis five days later, after being treated with a heavy dose of drugs and bloodletting. The most commonly accepted theories for his illness are that the ice used in the milk and the water consumed afterwards were contaminated with cholera, and that this was further exacerbated by the large amounts of acid in his system from eating so much fruit. There are some suggestions that recovery was feasible, but the actions of his doctors had made this impossible. Additionally, there have been conspiracy theories suggesting that Taylor was poisoned by pro-slavery secessionists from the Southern States, although there appears to be no evidence to back this up.