title: The estimation of population microdata by using data from small area statistics and samples of anonymised records.
abstract: "Traditionally, estimates of the number of people in small areas (the smallest geographical units for which data are available) have been disaggregated only by age and sex. More recently, much research effort has been directed towards developing some form of enhanced small-area population estimation, in which the population in a small area is disaggregated not only by age and sex, but also by a wide range of additional economic and social characteristics. Solutions to this problem currently include account-based demographic models, often used by local authorities."
authors.forename: P
authors.initials: P
authors.lastname: Williamson
authors.forename: M
authors.initials: M
authors.lastname: Birkin
authors.forename: P H
authors.initials: PH
authors.lastname: Rees
mesh_terms: D000367:Age Factors; D003625:Data Collection; D003710:Demography; D004467:Economics; D011153:Population; D011154:Population Characteristics; D011158:Population Growth; D012106:Research; D012737:Sex Factors; D012959:Socioeconomic Factors; D013223:Statistics as Topic
keywords: Age Factors; Area Analysis; Data Collection; Demographic Accounting; Demographic Analysis; Demographic Factors; Economic Factors; Estimation Technics; Population; Population Characteristics; Population Growth Estimation; Research Methodology; Sex Factors; Socioeconomic Factors; World