Arbeitsbereich

Demografische Daten

Auf einen Blick Projekte Publikationen Team

Projekt

Human Mortality Database

Geleitet von Dmitri A. Jdanov, Magali Barbieri (University of California, Berkeley, USA and French National Institute for Demographic Studies, Paris, Frankreich); Domantas Jasilionis, László Németh, Carl Boe (University of California, Berkeley, Vereinigte Staaten), Isabella Marinetti, Denys Dukhovnov (University of California, Berkeley, Vereinigte Staaten), Lisa Körber, Svitlana Poniakina (French National Institute for Demographic Studies, Paris, Frankreich)

Ausführliche Beschreibung

The Human Mortality Database (HMD) provides detailed mortality data for developed countries. It is a collaborative project sponsored by the MPIDR, the University of California, Berkeley, and the French Institute for Population Studies. The main goal of the HMD is to document trends in longevity and survival and facilitate research on their components and determinants. At present, the database contains continuous and detailed data series (on deaths, populations, death rates by age, year of birth, and calendar year; period and cohort life tables) and the original raw data for 41 countries or areas and 9 subpopulations. The longest series is for Sweden (since 1751), the shortest for South Korea (since 2003). The HMD is continually updated: We extend existing data series by adding the most recent data and including new countries. By design, the database is limited to populations for whom the vital statistics and census data are almost complete. However, we are working on an extension of the HMD methodology for developing countries. The main advantages of the HMD data are the high quality and comparability of the data across time and space. 

During the last few years, the HMD has overcome a new challenge: quality problems in the official population estimates of developed countries. This challenge is related to the difficulties that statistical agencies are facing in producing reliable information on migration and the problems many countries are encountering in generating population estimates at old ages. The new census round highlighted these problems.

There are several subnational versions of the HMD, i.e., satellite projects on regional data for specific countries. Five of these projects have already been launched:

•    The Canadian HMD at the University of Montreal.
•    The Japanese Mortality Database at the National Institute of Population and Social Security Research.
•    The Australian HMD at the Australian National University.
•    The US Mortality Database at the University of California, Berkley.
•    The French HMD.

All of these projects were supported by the HMD team and use the standard HMD methodology but maintained by the local experts. Together with researchers from hosting countries, we plan to launch subnational databases for several new countries, including Germany, Portugal, and Croatia.

In response to the COVID-19 pandemic, we established a new data resource: Short-Term Mortality Fluctuations (STMF) data series. The STMF complements the HMD by providing weekly death counts and death rates by age and sex. Having weekly mortality data is the most objective way of assessing the scale of short-term mortality elevations across countries and time. During the pandemic, we updated the STMF every week. The STMF incorporates an online visualization toolkit that enables instant calculation and visual inspection of excess mortality.

The HMD is among the most cited and widely used demographic data resources. It has more than 55,000 registered users and has been cited in more than 6,000 scientific publications (see a nonexhaustive list at www.mortality.org/File/GetDocument/Public/HMD-Publist.pdf).
 
The 6th HMD Symposium was held in Paris on June 16–17, 2023 (see the full list of events here www.mortality.org/Research/Events).

Publikationen

Islam, N.; Jdanov, D. A.; Shkolnikov, V. M.; Khunti, K.; Kawachi, I.; White, M.; Lewington, S.; Lacey, B.:

Effects of covid-19 pandemic on life expectancy and premature mortality in 2020: time series analysis in 37 countries

BMJ 375:e066768, 1–14. (2021)    

Jdanov, D. A.; Alustiza Galarza, A.; Shkolnikov, V. M.; Jasilionis, D.; Németh, L.; Leon, D. A.; Boe, C.; Barbieri, M.:

The short-term mortality fluctuation data series, monitoring mortality shocks across time and space

Scientific Data 8:235, 1–8. (2021)    

Németh, L.; Jdanov, D. A.; Shkolnikov, V. M.:

An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series

PLOS One 16:2, e0246663–e0246663. (2021)    

van Raalte, A. A.; Klüsener, S.; Oksuzyan, A.; Grigoriev, P.:

Declining regional disparities in mortality in the context of persisting large inequalities in economic conditions: the case of Germany

International Journal of Epidemiology 49:2, 486–496. (2020)    

Leon, D. A.; Jdanov, D. A.; Shkolnikov, V. M.:

Trends in life expectancy and age-specific mortality in England and Wales, 1970–2016, in comparison with a set of 22 high-income countries: an analysis of vital statistics data

The Lancet Public Health 4:11, e575–e582. (2019)    

Klüsener, S.; Grigoriev, P.; Scholz, R. D.; Jdanov, D. A.:

Adjusting inter-censal population estimates for Germany 1987-2011: approaches and impact on demographic indicators

Comparative Population Studies 43, 31–64. (2018)    

Németh, L.; Missov, T. I.:

Adequate life-expectancy reconstruction for adult human mortality data

PLOS One 13:6, e0198485–e0198485. (2018)    

Penina, O.; Jdanov, D. A.; Grigoriev, P.:

Producing reliable mortality estimates in the context of distorted population statistics: the case of Moldova

MPIDR Working Paper WP-2015-011. (2015)    

Andreev, E. M.; Kingkade, W. W.:

Average age at death in infancy and infant mortality level: reconsidering the Coale-Demeny formulas at current levels of low mortality

MPIDR Working Paper WP-2011-016. (2011)    

Scholz, R. D.; Jdanov, D. A.:

Verfahren zur Korrektur der Bevölkerungsbestände der amtlichen Statistik im hohen Alter

MPIDR Working Paper WP-2007-002. (2007)