Synthetic Population
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Synthetic population is artificial population data that fits the distribution of people and their relevant characteristics living in a specified area as according to the demographics from
census A census (from Latin ''censere'', 'to assess') is the procedure of systematically acquiring, recording, and calculating population information about the members of a given Statistical population, population, usually displayed in the form of stati ...
data. Synthetic populations are often a basis for microsimulation or also agent based models of population behavior. The latter can be used for simulation of disease transmission, traffic and similar. Synthetic population are initial sets of agents with detailed demographic and socioeconomic attributes, which allow execution of agent-based microsimulation. Due to privacy reasons and data limitations and restrict observability of entire real population. Therefore, the population synthesis procedure is applied, which expands a small data sample of population by using auxiliary data, to generate a synthetic population as close as possible to the real population in its characteristics.


Examples of application

Chicago Social Interaction Model or chiSIM is an agent-based simulation of individuals and locations in
Chicago Chicago is the List of municipalities in Illinois, most populous city in the U.S. state of Illinois and in the Midwestern United States. With a population of 2,746,388, as of the 2020 United States census, 2020 census, it is the List of Unite ...
along with their daily behavior. The population is modeled as a set of heterogeneous, interacting, adaptive agents. These agents are the population of all the residents of Chicago. In 2023, World Data Lab created a synthetic population for New York using microdata and
summary statistics In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as simply as possible. Statisticians commonly try to describe the observations in * a measure of ...
.{{cite news , title=Fighting poverty with synthetic data , url=https://www.brookings.edu/articles/fighting-poverty-with-synthetic-data/ , access-date=6 July 2023 , work=Brookings , date=2023 It was used to calculate the poverty levels among the neighborhoods for targeted social programs.


References

Demographics Agent-based model Microsimulation