Published online by Cambridge University Press: 04 January 2016
Data quality is a central analytical issue in most studies of historical populations. There is often a need for data correction as well as for a careful consideration of the sources and types of error in data collection. Cross-identification of enumerated or registered events in independent sources often can be used as a check on data quality. This study investigates data quality of two sources by their enumeration comparability and in addition discusses some of the problems with such a comparison. The two sources compared are household listings of the United States manuscript federal censuses and independently prepared maps detailing property owners and the location of their property. The method employed estimates the correspondence of listings in each source based on the other and the combined enumeration correspondence of both sources. Further, this paper examines some of the village-level demographic and economic factors which may be associated with differences in the relative completeness of these sources.