| dc.contributor.author | Williamson, P | |
| dc.contributor.author | Birkin, M | |
| dc.contributor.author | Rees, P. H | |
| dc.date.accessioned | 2013-06-10T05:57:45Z | |
| dc.date.available | 2013-06-10T05:57:45Z | |
| dc.date.issued | 1998 | |
| dc.identifier.citation | Environ Plan A. 1998 May;30(5):785-816. | en |
| dc.identifier.uri | http://hinari-gw.who.int/whalecomwww.ncbi.nlm.nih.gov/whalecom0/pubmed/12293871 | |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/30338 | |
| dc.description.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." | en |
| dc.language.iso | en | en |
| dc.title | The estimation of population microdata by using data from small area statistics and samples of anonymised records | en |
| dc.type | Article | en |
