HumFES/FPS and HumF13B: Turkish and German population data

1995 ◽  
Vol 108 (2) ◽  
pp. 93-95 ◽  
Author(s):  
B. Alper ◽  
E. Meyer ◽  
M. Sch�renkamp ◽  
B. Brinkmann
2016 ◽  
Vol 41 (2) ◽  
Author(s):  
Felix Zur Nieden ◽  
Bettina Sommer

The Federal Statistical Office’s 2010/12 general life table is the first to provide results on life expectancy based on census data for reunified Germany. This article therefore examines the question of how the revisions of the population figures from the 2011 census affected the measured life expectancy. To do so, we analysed both the official life tables based on the old intercensal population updates before the census and those based on the population data from the 2011 census. The method used to calculate the census-adjusted 2010/12 general life table was also transferred to separate life tables drawn up for the German and the foreign population. In this way, findings on the so-called “healthy migrant effect” can be discussed, ruling out possible errors in the intercensal population updates. These errors had previously been cited as the main causes for a distinctly longer life expectancy among the foreign population compared with the German population. As expected, a census-based calculation for the total population and for the German population resulted in only minor revisions to the life expectancy figures. The use of the census results does, however, distinctly alter the life expectancy of foreign women and men. An advantage of over 5 years in life expectancy at birth, measured on the basis of the old population data, needs to be revised to about 2.9 years for men and 2.1 years for women based on the 2011 census. The healthy migrant effect therefore cannot be traced back solely to data artefacts from the old intercensal population updates – even with revised data, the foreign population shows marked survival advantages.


2020 ◽  
Vol 55 ◽  
pp. S95-S99 ◽  
Author(s):  
L. Walsh ◽  
A. Ulanowski ◽  
J.C. Kaiser ◽  
C. Woda ◽  
W. Raskob

The development and application of new European software for cancer risk assessment after radiation exposure from a nuclear accident is described here. This software computes lifetime risks for several types of cancer and is intended to provide information for consideration by decision makers in the urgent and transition phases of nuclear emergencies. Such information on radiation related cancer risks can be useful to consider in the identification of protective measures (e.g., sheltering, evacuation, allocation of individuals to screening programmes and advice to take thyroid protection medication) in a differential way (i.e., for particularly susceptible sub-groups of a population). A description and application of the software for converting dose limits applicable after nuclear accidents into corresponding cancer risks, based on German population data, has already been published. Therefore, only a brief description of the main features of the software and some new illustrative results based on Swiss population data are given here, with some additional information on the input and output specification of the software.


1996 ◽  
Vol 80 (3) ◽  
pp. 221-227 ◽  
Author(s):  
Roger Pöltl ◽  
Christine Luckenbach ◽  
Jürgen Reinhold ◽  
Rolf Fimmers ◽  
Horst Ritter

1998 ◽  
Vol 91 (2) ◽  
pp. 103-107 ◽  
Author(s):  
Christina Stein ◽  
Thomas Lange ◽  
Stanislav Ferencik ◽  
Hans Grosse-Wilde ◽  
Claus Henßge

1979 ◽  
Vol 11 (5) ◽  
pp. 507-516 ◽  
Author(s):  
A C Gatrell

Autocorrelation provides a means of characterising spatial structure, yet different kinds of structure are revealed in different spaces. The choice of weights when calculating an autocorrelation statistic is discussed. An examination of autocorrelation in transformed spaces is suggested and illustrated empirically by use of correlograms for German population data and autocorrelation statistics for Swedish population data. Transformations are accomplished by use of multidimensional scaling.


Sign in / Sign up

Export Citation Format

Share Document