OECD Life Expectancy And Years Of Potential Life Lost Statistics

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This dataset contains life expectancy and Potential Years of Life Lost (YPLL) statistics for country members of OECD (The Organization for Economic Co-operation and Development), for OECD key partners and countries in accession negotiations with OECD. The estimated values of the two indicators, cover periods from 2000 to 2016.

Complexity

The dataset is provided by OECD (The Organization for Economic Co-operation and Development) whose mission is to promote policies that will improve the economic and social well-being of people around the world. OECD’s work is based on continued monitoring of events in member countries as well as outside OECD area, and includes regular projections of short and medium-term economic developments. The OECD Secretariat collects and analyses data, after which committees discuss policy regarding this information, the Council makes decisions, and then governments implement recommendations. The OECD Health Datasets offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of diverse health systems.

Life expectancy at birth and at ages 40, 60, 65 and 80 years old is the average number of years that a person at that age can be expected to live, assuming that age-specific mortality levels remain constant. Life expectancy at birth for the total population was estimated by the OECD Secretariat for all countries, using the unweighted average of life expectancy of men and women. The Eurostat database is the main data source for all European countries. For non European countries, time series are completed based on national data for selected years.

Years Of Potential Life Lost (YPLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of YPLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit. The limit of 70 years has been chosen for the calculations in OECD Health Statistics. In order to assure cross-country and trend comparison, the PYLL are standardized, for each country and each year. The YPLL per 100,000 population are calculated by the OECD Secretariat based on age-specific death statistics provided by the World Health Organization. The total OECD population in 2010 is taken as the reference population for age standardization.

Breaks in the time-related continuity of data on which the calculated indicators values are based are specified in the content of the dataset.

Date Created

2017-06-30

Last Modified

2017-06-30

Version

2017-06-30

Update Frequency

Irregular

Temporal Coverage

2000-2016

Spatial Coverage

OECD Members and Partners Countries

Source

John Snow Labs => The Organization for Economic Co-operation and Development

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

N/A

Keywords

OECD Health Statistics, OECD Countries, Life Expectancy, Premature Death Causes, Years Of Potential Life Lost, Life Expectancy By Age, Life Expectancy By Gender, Life Expectancy Difference Male Female, Life Expectancy Difference Female Male, Potential Years Of Life Lost By Gender

Other Titles

OECD Countries And Partners Life Expectancy Related Statistics, OECD Life Expectancy And Potential Years Of Life Lost Statistics

Name Description Type Constraints
YearThe year of the corresponding value (number of years) of the indicator, gender, age and variabledaterequired : 1
CountryThe name of the country member or partner of OECD or in accession negotiations with OECDstringrequired : 1
Country_AbbreviationThe abbreviated name of the country member or partner of OECD or in accession negotiations with OECDstringrequired : 1
Country_StatusSpecifies if the country is member or partner or has an accession agreement with OECDstringenum : Array required : 1
IndicatorSpecifies whether is life expectancy or YPLLstringenum : Array required : 1
Indicator_DescriptionDescribe how the indicator is measuredstringrequired : 1
Indicator_CodeThe original OECD code used for the indicator and for the specified gender and agestringrequired : 1
GenderThe gender of the population group for which the estimated value of the indicator is calculatedstringenum : Array required : 1
AgeThe age of the population group for the estimated value of indicator is calculatedstringenum : Array required : 1
VariableThe the age for which the life expectancy is calculated or the disease which caused a premature deathstringrequired : 1
Variable_CodeThe original OECD code used for the variablestringrequired : 1
Number_Of_YearsThe calculated value for the indicator taking into consideration the variablenumberlevel : Ratio
Is_Data_Time_Related_BreaksSpecifies if there are breaks in the time-related continuity of databooleanrequired : 1
YearCountryCountry_AbbreviationCountry_StatusIndicatorIndicator_DescriptionIndicator_CodeGenderAgeVariableVariable_CodeNumber_Of_YearsIs_Data_Time_Related_Breaks
2000ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.6false
2001ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.7false
2002ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.6false
2003ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.2false
2004ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.7false
2005ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.5false
2006ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.8false
2007ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.8false
2008ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.8false
2009ItalyITAOECD memberLife expectancyYearsEVIDUREVMaleAge 80Males at age 80EVIEHO807.9false