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.

In 1970, life expectancy at birth in the Soviet Union and United States was fairly similar, at 69.3 and 70.8 years respectively; a difference of 1.5 years. As the decades progressed, however, this difference widened. While improvements in the recording of such statistics in the Soviet Union gave a more reliable picture of life expectancy across the region, especially in Central Asia and rural areas, the largest influence was due to the side-effects of deteriorating economic conditions. As lifestyles and medical care in the U.S. steadily improved, the decline in life expectancy the USSR was largely due to preventable causes, particularly alcoholism and accidental deaths among the male population. By 1985, life expectancy in the U.S. was 6.3 years higher than in the Soviet Union.

When looking at each gender, life expectancy among women in the U.S. in 1985 was seven years higher than men, whereas there was a difference of almost 10 years in the USSR. Women in the U.S. could also expect to live for five years longer than their Soviet counterparts in this year, while life expectancy among men in the U.S. was eight years higher than in the USSR. Overall, the gap between the two countries narrowed in the late 1980s as the Soviet Union's existence came to an end, however, this gap then grew even larger throughout most of the 1990s and early-2000s, and the post-Soviet states continue to deal with the social and economic legacy of Soviet dissolution on their respective demographics thirty years later.

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 ...).

This data collection consists of two data files, which can be used to determine infant mortality rates. The first file provides linked records of live births and deaths of children born in the United States in 1985 (residents and nonresidents). This file is referred to as the "numerator" file. The second file consists of live births in the United States in 1985 and is referred to as the "denominator" file. Variables include year of birth, state and county of birth, characteristics of the infant (age, sex, race, birth weight, gestation), characteristics of the mother (origin, race, age, education, marital status, state of birth), characteristics of the father (origin, race, age, education), pregnancy items (prenatal care, live births), and medical data.

The life expectancy for men aged 65 years in the U.S. has gradually increased since the 1960s. Now men in the United States aged 65 can expect to live 18.2 more years on average. Women aged 65 years can expect to live around 20.7 more years on average. Life expectancy in the U.S. As of 2023, the average life expectancy at birth in the United States was 78.39 years. Life expectancy in the U.S. had steadily increased for many years but has recently dropped slightly. Women consistently have a higher life expectancy than men but have also seen a slight decrease. As of 2023, a woman in the U.S. could be expected to live up to 81.1 years. Leading causes of death The leading causes of death in the United States include heart disease, cancer, unintentional injuries, and cerebrovascular diseases. However, heart disease and cancer account for around 42 percent of all deaths. Although heart disease and cancer are the leading causes of death for both men and women, there are slight variations in the leading causes of death. For example, unintentional injury and suicide account for a larger portion of deaths among men than they do among women.

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.

These data examine the effects on total crime rates of changes in the demographic composition of the population and changes in criminality of specific age and race groups. The collection contains estimates from national data of annual age-by-race specific arrest rates and crime rates for murder, robbery, and burglary over the 21-year period 1965-1985. The data address the following questions: (1) Are the crime rates reported by the Uniform Crime Reports (UCR) data series valid indicators of national crime trends? (2) How much of the change between 1965 and 1985 in total crime rates for murder, robbery, and burglary is attributable to changes in the age and race composition of the population, and how much is accounted for by changes in crime rates within age-by-race specific subgroups? (3) What are the effects of age and race on subgroup crime rates for murder, robbery, and burglary? (4) What is the effect of time period on subgroup crime rates for murder, robbery, and burglary? (5) What is the effect of birth cohort, particularly the effect of the very large (baby-boom) cohorts following World War II, on subgroup crime rates for murder, robbery, and burglary? (6) What is the effect of interactions among age, race, time period, and cohort on subgroup crime rates for murder, robbery, and burglary? (7) How do patterns of age-by-race specific crime rates for murder, robbery, and burglary compare for different demographic subgroups? The variables in this study fall into four categories. The first category includes variables that define the race-age cohort of the unit of observation. The values of these variables are directly available from UCR and include year of observation (from 1965-1985), age group, and race. The second category of variables were computed using UCR data pertaining to the first category of variables. These are period, birth cohort of age group in each year, and average cohort size for each single age within each single group. The third category includes variables that describe the annual age-by-race specific arrest rates for the different crime types. These variables were estimated for race, age, group, crime type, and year using data directly available from UCR and population estimates from Census publications. The fourth category includes variables similar to the third group. Data for estimating these variables were derived from available UCR data on the total number of offenses known to the police and total arrests in combination with the age-by-race specific arrest rates for the different crime types.

The poly shapefile shows annual percent change in the number of bankruptcies between 1985 and 2006 for the lower 48 states. The original data from US Bankruptcy courts was downloaded from the Census 2008 USA Statistical Abstract and yearly percent change computation was carried out. Elsewhere on the Finder! you may find the annual bankruptcy data by state for the same time periods. For details on the stats go to: http://www.uscourts.gov/usbankruptcy.html

Male life expectancy at birth fell in all four countries of the United Kingdom in 2020-22 when compared with 2019/21. English men had a life expectancy of 78.83, compared with 76.52 in Scotland, 77.93 in Wales and 78.43 in Northern Ireland. In both England and Wales, life expectancy ticked up for the period 2021/23.

The poly shapefile shows the total number of bankruptcies filed per year in the lower 48 states from 1985 to 2006. The original data came from the U.S. bankruptcy courts. In the U.S. personal and business bankruptcies are handled by the U.S. bankruptcy courts spread across 94 judicial districts. For more information go to: http://www.uscourts.gov/bankruptcycourts.html

Zimbabwe ZW: Life Expectancy at Birth: Female data was reported at 62.898 Year in 2016. This records an increase from the previous number of 62.050 Year for 2015. Zimbabwe ZW: Life Expectancy at Birth: Female data is updated yearly, averaging 56.617 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 63.386 Year in 1985 and a record low of 45.511 Year in 2003. Zimbabwe ZW: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Hispanic population at county level by single age in year 2000. the data is for all ages from 1 to 84, also infants and those of age 85 and more. The original data published by NCHS (National center for Health Statistic) of CDC has data by race and ethnicity. This particular data was extracted for the lower 48 counties for Hispanic descent.

In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1985 to 2006. The map shows the countries that participated in the Vienna Convention and Montreal Protocol by year. From UNEP: "Through The Vienna Convention on the Protection of the Ozone Layer governments committed themselves to protect the ozone layer and to co-operate with each other in scientific research to improve understanding of the atmospheric processes. The Montreal Protocol on Substances that Deplete the Ozone Layer was adopted by Governments in 1987 and has been modified five times so far. Its control provisions were strengthened through four adjustments to the Protocol adopted in London (1990), Copenhagen (1992), Vienna (1995), Montreal (1997) and Beijing (1999). The Protocol aims to reduce and eventually eliminate the emissions of man-made ozone depleting substances." Online resource: http://geodata.grid.unep.ch URL original source: http://www.unep.ch/ozone/ratif. shtml

Life expectancy in India was 25.4 in the year 1800, and over the course of the next 220 years, it has increased to almost 70. Between 1800 and 1920, life expectancy in India remained in the mid to low twenties, with the largest declines coming in the 1870s and 1910s; this was because of the Great Famine of 1876-1878, and the Spanish Flu Pandemic of 1918-1919, both of which were responsible for the deaths of up to six and seventeen million Indians respectively; as well as the presence of other endemic diseases in the region, such as smallpox. From 1920 onwards, India's life expectancy has consistently increased, but it is still below the global average.

Over the last two observations, the life expectancy has significantly increased in all gender groups As part of the positive trend, the life expectancy reaches the maximum value for the different genders at the end of the comparison period. Particularly noteworthy is the life expectancy of women at birth, which has the highest value of 85 years. Life expectancy at birth refers to the number of years that the average newborn can expect to live, providing that mortality patterns at the time of their birth do not change thereafter.Find further similar statistics for other countries or regions like U.S. Virgin Islands and Egypt.

In 2023, the median age of the population of the United States was 39.2 years. While this may seem quite young, the median age in 1960 was even younger, at 29.5 years. The aging population in the United States means that society is going to have to find a way to adapt to the larger numbers of older people. Everything from Social Security to employment to the age of retirement will have to change if the population is expected to age more while having fewer children. The world is getting older It’s not only the United States that is facing this particular demographic dilemma. In 1950, the global median age was 23.6 years. This number is projected to increase to 41.9 years by the year 2100. This means that not only the U.S., but the rest of the world will also have to find ways to adapt to the aging population.

This dataset tracks the average applied tariff rates in both industrial and developing countries. Data is averaged for the years 1981-2005. Figures for 2005 have been estimated. Notes: All tariff rates are based on unweighted averages for all goods in ad valorem rates, or applied rates, or MFN rates whichever data is available in a longer period. Tariff data is primarily based on UNCTAD TRAINS database and then used WTO IDB data for gap filling if possible. Data in 1980s is taken from other source.** Tariff data in these countries came from IMF Global Monitoring Tariff file in 2004 which might include other duties or charges. Country codes are based on the classifications by income in WDI 2006, where 1 = low income, 2 = middle income, 3 = high incone non-OECDs, and 4 = high income OECD countries. Sources: UNCTAD TRAINS database (through WITS); WTO IDB database (through WITS); WTO IDB CD ROMs, various years and Trade Policy Review -- Country Reports in various issues, 1990-2005; UNCTAD Handbook of Trade Control Measures of Developing Countries -- Supplement 1987 and Directory of Import Regimes 1994; World Bank Trade Policy Reform in Developing Countries since 1985, WB Discussion Paper #267, 1994 and World Development Indicators, 1998-2006; The Uruguay Round: Statistics on Tariffs Concessions Given and Received, 1996; OECD Indicators of Tariff and Non-Tariff Trade Barriers, 1996 and 2000; and IMF Global Monitoring Tariff data file 2004. Data source: http://go.worldbank.org/LGOXFTV550 Access Date: October 17, 2007

In 2022, life expectancy at birth for urban residents in Russia was ***** years. For those living in rural areas, it was approximately **** years on average. Both urban and rural populations' average life span figures increased from the previous year. In total, Russians born in 2022 were expected to live roughly **** years. Russia’s life expectancy is lower than in most other European countries and the United States. The Russian government set a national goal to achieve a life expectancy of 78 years by 2030. Change factors As in many other countries, life expectancy in Russia saw a decline in 2020 as a result of the coronavirus (COVID-19) pandemic and an increase in deaths from the disease. Even though the figure has increased since 2022 and exceeded pre-pandemic levels in 2023, the war in Ukraine and mobilization affect the indicator negatively. That particularly holds for men’s life expectancy, which has historically been significantly lower than women’s. Historical development In 2023, life expectancy in Russia was almost 44 years higher than in 1845. Over that period, the indicators experienced a decline during the World Wars, the Russian Revolution of 1917, and a series of famines in the mid-*****. Moreover, the indicator decreased between 1970 and 1985, in part due to male life expectancy being impacted by alcohol consumption. The 2023 figure was the highest in Russia and the Soviet Union’s history.

This data provides counts of alternative fuel stations by fuel type and by state. The fuels included in the data are: CNG-Compressed Natural Gas, E85-85% Ethanol, LPG-Propane, ELEC-Electric, BD-Biodiesel, HY-Hydrogen and LNG-Liquefied Natural Gas. Counts are for 2008. I have also calculated fuel stations per capita (in 100,000s of persons) using the U.S. Census estimates of population for 2007