Global Male Life Expectancy at Age 65 by Country, 2023 Discover more data with ReportLinker!

In 2020, France had the highest life expectancy at age 65 among European countries, at 21.2 years, followed by Iceland at 21.1 and Norway at 21. Bulgaria had the lowest life expectancy at 65, of 15.2 years, with Romania and Georgia both having 15.7 years.

Global Female Life Expectancy at Age 65 by Country, 2023 Discover more data with ReportLinker!

Since 2014 Switzerland Male Life Expectancy at Age 65 was up 0.7% year on year at 20.3 Years.

In 2022, the life expectancy of a 65-year-old woman in Israel was just over 22 years. On the other hand, the life expectancy of men in the country was over **** years, about *** years less than that of women.

South Korea Female Life Expectancy at Age 65 rose 0.9% in 2019, compared to a year earlier.

Life expectancy at birth and at age 65 for the UK and constituent countries, 1991-93 to 2010-12

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

France was up 0.5% of Male Life Expectancy at 65 in 2019, compared to a year earlier.

By 2050, women aged 65 in China would have a further life expectancy of 21 years. Comparatively, men of the same age in China would have a further life expectancy of **** years in 2050. Further life expectancy for women was estimated to be longer than for men by 2050 in all selected Asian countries.

In 2024, the average life expectancy for Singapore residents at 65 years of age was at 21.2 years. The average life expectancy for residents there had increased by around five years since the turn of the millennium, corresponding with the increasing economic progress of the country. Singapore had one of the highest life expectancies in the world in that year.

This report presents the latest figures on male and female health expectancy, at birth and at age 65, for the UK and its four constituent countries. While life expectancy (LE) provides an estimate of average expected life-span, healthy life expectancy (HLE) divides total LE into years spent in good or ‘not good’ health. Disability-free life expectancy (DFLE) divides LE into years lived with and without a chronic illness or disability. These figures are three-year averages. LE is taken from the UK national interim life tables published annually by ONS, and the measures of health and chronic illness from the General Household Survey (GHS) in Great Britain and the Continuous Household Survey (CHS) in Northern Ireland. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: National Health Expectancies

Singapore Total Life Expectancy at Age 65 Years: Residents: Female data was reported at 22.500 Year in 2017. This records an increase from the previous number of 22.400 Year for 2016. Singapore Total Life Expectancy at Age 65 Years: Residents: Female data is updated yearly, averaging 17.450 Year from Dec 1960 (Median) to 2017, with 42 observations. The data reached an all-time high of 22.500 Year in 2017 and a record low of 8.800 Year in 1965. Singapore Total Life Expectancy at Age 65 Years: Residents: Female data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G006: Vital Statistics: Life Expectancy.

In 2022, the average life expectancy of women in Japan was approximately **** years, whereas the life expectancy of men reached around **** years. The average life expectancy of both men and women in Japan indicated a ******** for two consecutive years. Aging workforce Japan has one of the highest proportions of senior citizens worldwide, with almost ** percent of the country’s population aged 65 years and older. The growing average life expectancy and declining fertility rates led to this demographic shift. To secure the nation's workforce despite the aging population, the Japanese government amended the Act on Stabilization of Employment of Elderly Persons in 2021 and requested Japanese enterprises to raise the retirement age to 70 for employees who wish to continue working after turning 60 or 65. Causes of death The leading causes of death in Japan are *****************************************************************. Lung cancer is the most mortal cancer site among Japanese men and women, but its mortality risk has declined from the 1990s onward. This development can be partially attributed to the downward trend in tobacco consumption. Since peaking in the 1970s, tobacco consumption in Japan has steadily declined, noticeable from the continuous decrease in the cigarette industry’s annual sales volume growth. Apart from a growing awareness regarding health risks, this downward movement can be explained by a tightening of prefectural no-smoking policies in the streets, many restaurants, and public places in general.

Across the world, people are living longer. In 1900, the average life expectancy of a newborn was 32 years. By 2021 this had more than doubled to 71 years. But where, when, how, and why has this dramatic change occurred? To understand it, we can look at data on life expectancy worldwide. The large reduction in child mortality has played an important role in increasing life expectancy. But life expectancy has increased at all ages. Infants, children, adults, and the elderly are all less likely to die than in the past, and death is being delayed. This remarkable shift results from advances in medicine, public health, and living standards. Along with it, many predictions of the ‘limit’ of life expectancy have been broken.

Data Dictionary

life_expectancy.csv

life_expectancy_different_ages.csv

life_expectancy_female_male.csv

citation(tidytuesday)

IntroductionAdult male and female mortality declines in Japan have been slower than in most high-income countries since the early 1990s. This study compares Japan’s recent life expectancy trends with the more favourable trends in Australia, measures the contribution of age groups and causes of death to differences in these trends, and places the findings in the context of the countries’ risk factor transitions.MethodsThe study utilises data on deaths by age, sex and cause in Australia and Japan from 1950–2016 from the Global Burden of Disease Study. A decomposition method measures the contributions of various ages and causes to the male and female life expectancy gap and changes over four distinct phases during this period. Mortality differences by cohort are also assessed.FindingsJapan’s two-year male life expectancy advantage over Australia in the 1980s closed in the following 20 years. The trend was driven by ages 45–64 and then 65–79 years, and the cohort born in the late 1940s. Over half of Australia’s gains were from declines in ischaemic heart disease (IHD) mortality, with lung cancer, chronic respiratory disease and self-harm also contributing substantially. Since 2011 the trend has reversed again, and in 2016 Japan had a slightly higher male life expectancy. The advantage in Japanese female life expectancy widened over the period to 2.3 years in 2016. The 2016 gap was mostly from differential mortality at ages 65 years and over from IHD, chronic respiratory disease and cancers.ConclusionsThe considerable gains in Australian male life expectancy from declining non-communicable disease mortality are attributable to a range of risk factors, including declining smoking prevalence due to strong public health interventions. A recent reversal in life expectancy trends could continue because Japan has greater scope for further falls in smoking and far lower levels of obesity. Japan’s substantial female life expectancy advantage however could diminish in future because it is primarily due to lower mortality at old ages.

Singapore Total Life Expectancy at Age 65 Years: Residents: Male data was reported at 19.100 Year in 2017. This records an increase from the previous number of 19.000 Year for 2016. Singapore Total Life Expectancy at Age 65 Years: Residents: Male data is updated yearly, averaging 14.800 Year from Dec 1960 (Median) to 2017, with 42 observations. The data reached an all-time high of 19.100 Year in 2017 and a record low of 7.800 Year in 1965. Singapore Total Life Expectancy at Age 65 Years: Residents: Male data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G006: Vital Statistics: Life Expectancy.

Tunisia had the highest projected life expectancy at birth in Africa as of 2025. A newborn infant was expected to live about 77 years in the country. Algeria, Cabo Verde, Morocco, and Mauritius followed, with a life expectancy between 77 and 75 years. On the other hand, Nigeria registered the lowest average, at 54.8 years. Overall, the life expectancy in Africa was just over 64 years in the same year.

This Dataset provides comprehensive demographic information on global populations from 1950 to the present. It offers insights into various aspects of population dynamics, including population counts, gender ratios, birth and death rates, life expectancy, and migration patterns.

Column Descriptions:

SortOrder: Numeric identifier for sorting.

LocID: Location identifier.

Notes: Additional notes or comments (blank in this dataset).

ISO3_code: ISO 3-character country code.

ISO2_code: ISO 2-character country code.

SDMX_code: Statistical Data and Metadata Exchange code.

LocTypeID: Location type identifier.

LocTypeName: Location type name.

ParentID: Identifier for the parent location.

Location: Name of the location.

VarID: Identifier for the variant.

Variant: Type of population variant.

Time: Year or time period.

TPopulation1Jan: Total population on January 1st.

TPopulation1July: Total population on July 1st.

TPopulationMale1July: Total male population on July 1st.

TPopulationFemale1July: Total female population on July 1st.

PopDensity: Population density (people per square kilometer).

PopSexRatio: Population sex ratio (male/female).

MedianAgePop: Median age of the population.

NatChange: Natural change in population.

NatChangeRT: Natural change rate (per 1,000 people).

PopChange: Population change.

PopGrowthRate: Population growth rate (percentage).

DoublingTime: Time for population to double (in years).

Births: Total number of births.

Births1519: Births to mothers aged 15-19.

CBR: Crude birth rate (per 1,000 people).

TFR: Total fertility rate (average number of children per woman).

NRR: Net reproduction rate.

MAC: Mean age at childbearing.

SRB: Sex ratio at birth (male/female).

Deaths: Total number of deaths.

DeathsMale: Total male deaths.

DeathsFemale: Total female deaths.

CDR: Crude death rate (per 1,000 people).

LEx: Life expectancy at birth.

LExMale: Life expectancy for males at birth.

LExFemale: Life expectancy for females at birth.

LE15: Life expectancy at age 15.

LE15Male: Life expectancy for males at age 15.

LE15Female: Life expectancy for females at age 15.

LE65: Life expectancy at age 65.

LE65Male: Life expectancy for males at age 65.

LE65Female: Life expectancy for females at age 65.

LE80: Life expectancy at age 80.

LE80Male: Life expectancy for males at age 80.

LE80Female: Life expectancy for females at age 80.

InfantDeaths: Number of infant deaths.

IMR: Infant mortality rate (per 1,000 live births).

LBsurvivingAge1: Children surviving to age 1.

Under5Deaths: Number of deaths under age 5.

NetMigrations: Net migration rate (per 1,000 people).

CNMR: Crude net migration rate.

How to Use the Dataset:

1. Researchers can analyze demographic trends, birth and death rates, and population growth over time.
2. Policymakers can use population data to inform decisions on healthcare, education, and social services.
3. Data scientists can visualize and model population dynamics for various regions.
4. Journalists can use the dataset to report on global population trends and disparities.
5. Educators can incorporate real-world population data into lessons and research.

Please upvote and show your support if you find this dataset valuable for your research or analysis. Your feedback and contributions help make this dataset more accessible to the Kaggle community. Thank you!

This dataset includes estimates for life expectancy at birth and at age 65, age-standardized death rates, and total deaths, by sex, for countries and territories and subnational units globally for the year 2016.