Altersbereinigte

Altersbereinigte is a German term that refers to a statistical method used to adjust or match the age structure of a population to a certain standard. This method is often used in demographic analysis, where it is necessary to compare the age profiles of different populations or to project a population's future age structure.

The term "altersbereinigte" is derived from the German words "alt," meaning "old" or "age," and "bereinigt," meaning "adjusted" or "corrected." In essence, the alter bereinigte refers to a population that has been standardized to a specific age structure, allowing for more accurate comparisons between populations.

The process of creating an alter bereinigte population involves several steps. First, a reference population with a specific age structure is selected. Next, the population being analyzed is adjusted to match the age structure of the reference population, while maintaining the same population size. This is typically done by calculating the number of individuals in each age group of the population being analyzed, and then adjusting these numbers to match the corresponding age groups of the reference population.

Altersbereinigte populations are often used in a variety of fields, including demographics, economics, and public health. By standardizing the age structure of populations, demographers and analysts can make more accurate comparisons and predictions, which can inform policy decisions and resource allocation. The use of alter bereinigte populations has become an important tool in population analysis, allowing researchers to gain a more nuanced understanding of population dynamics and trends.