Volume 36 - Article 54 | Pages 1667–1702
How many old people have ever lived?
By Miguel Sánchez-Romero, Dalkhat Ediev, Gustav Feichtinger, Alexia Prskawetz
Abstract
Background: Uninformed generalizations about how many elderly people have ever lived, based on a poor understanding of demography, are found in a surprising number of important publications.
Objective: We extend the methodology applied to the controversial question “how many people have ever been born?” initiated by Fucks, Winkler, and Keyfitz, to the proportion of people who have ever reached a certain age y and are alive today (denoted as π(y, T ))).
Methods: We first analyze the fraction π(y, T )) by using demographic data based on UN estimates. Second, we show the main mathematical properties of π(y, T )) by age and over time. Third, we complete our analysis by using alternative population models.
Results: We estimate that the proportion who have ever been over 65 that are alive today (as of 2010) ranges between 5.5 and 9.5%. We extend the formal demographic literature by considering the fraction of interest in two frequently referred models: the stable and hyperbolic growth populations.
Conclusions: We show that statements claiming half of all people who have ever reached the age of 65 are alive today ranges would never be attainable, neither theoretically nor empirically, according to existing data.
Contribution: We have produced for the first time a harmonized reconstruction of the human population by age throughout history. For a given contemporaneous time T, we demonstrate analytically and numerically that π(y, T )) is nonmonotonic in age y. For a given age y, we show tthat π(y, T) may also be nonmonotonic with respect to T.
Author's Affiliation
- Miguel Sánchez-Romero - Österreichische Akademie der Wissenschaften, Austria EMAIL
- Dalkhat Ediev - International Institute for Applied Systems Analysis (IIASA), Austria EMAIL
- Gustav Feichtinger - Vienna Institute of Demography (Austrian Academy of Sciences), Austria EMAIL
- Alexia Prskawetz - Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna), Austria EMAIL
Other articles by the same author/authors in Demographic Research
The reproductive value as part of the shadow price of population
Volume 24 - Article 28
The optimal transition to a stationary population for concentrated vitality rates
Volume 50 - Article 6
The welfare state and demographic dividends
Volume 36 - Article 48
Changes in economic activity: The role of age and education
Volume 36 - Article 40
Does selection of mortality model make a difference in projecting population ageing?
Volume 34 - Article 2
Economic support ratios and the demographic dividend in Europe
Volume 30 - Article 34
Family policies in the context of low fertility and social structure
Volume 29 - Article 37
Significance of life table estimates for small populations: Simulation-based study of estimation errors
Volume 24 - Article 22
Does fertility decrease household consumption?: An analysis of poverty dynamics and fertility in Indonesia
Volume 20 - Article 26
Keeping a learned society young
Volume 20 - Article 22
Austria: Persistent low fertility since the mid-1980s
Volume 19 - Article 12
The "Wedding-Ring": An agent-based marriage model based on social interaction
Volume 17 - Article 3
Decomposing the change in labour force indicators over time
Volume 13 - Article 7
Placing the poor while keeping the rich in their place: Separating strategies for optimally managing residential mobility and assimilation
Volume 13 - Article 1
Pathways to stepfamily formation in Europe: Results from the FFS
Volume 8 - Article 5
On Monotonic Convergence To Stability
Volume 8 - Article 2
Application of the Demographic Potential Concept to Understanding the Russian Population History and Prospects: 1897-2100
Volume 4 - Article 9
Fertility in second unions in Austria: Findings from the Austrian FFS
Volume 3 - Article 2
Most recent similar articles in Demographic Research
Data errors in mortality estimation: Formal demographic analysis of under-registration, under-enumeration, and age misreporting
Volume 51 - Article 9
| Keywords:
age misreporting,
data errors,
formal demography,
mortality
The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality
Volume 50 - Article 44
| Keywords:
exponential distribution,
formal demography,
lifespan inequality,
mortality age-pattern,
mortality plateau
Standardized mean age at death (MADstd): Exploring its potentials as a measure of human longevity
Volume 50 - Article 30
| Keywords:
formal demography,
life expectancy,
mean age at death,
mortality,
standardization
Age reporting for the oldest old in the Brazilian COVID-19 vaccination database: What can we learn from it?
Volume 48 - Article 28
| Keywords:
age misreporting,
Brazil,
COVID-19,
mortality crossover,
oldest old,
population aging,
vaccinations
How do populations aggregate?
Volume 44 - Article 15
| Keywords:
aggregation,
formal demography,
harmonic mean,
length-biased sampling
Cited References: 26
Download to Citation Manager
PubMed
Google Scholar