The Social Security Administration's 10-percent sample file of OASDI beneficiaries.

This is another in a series of technical articles describing Social Security Administration sample files and statistical systems. The focus of this article is the 10-percent sample file that provides program and demographic information on Social Security beneficiaries under the Old-Age, Survivors, and Disability Insurance program. The article explains the contents and availability of the 10-percent sample and presents several statistical tabulations as examples of the wide variety of data that can be developed from the file.     

The identification of a US serviceman recovered from the Holy Loch, Scotland.

During February and March 2000, human remains were recovered from the Holy Loch, Scotland. Police enquiries identified 13 males that had gone missing, presumed drowned in the Holy Loch or the adjoining lochs, over the previous 35 years. Osteological examination of the remains established they were from a male, aged between 15 and 23 and 168-174 cm tall. This information eliminated ten of the known missing persons. DNA profiles, both STR and mitochondrial were generated from the remains and compared to the profiles generated from relatives of the missing men. A positive match between the unidentified individual and one of the maternal relatives identified the remains as belonging to a US serviceman who had gone missing 35 years ago. The successful identification led to the repatriation of the serviceman's remains.     

Personal fraud victims and their official responses to victimization

The bulk of the research on predatory crime focuses on characteristics, profiles, and patterns of offenders. This information is important, but from the perspective of police agencies, information about the victims of predatory crimes, including victims of white-collar predatory crimes, and how they officially respond to victimization is also important. Using survey data from a random sample of 400 residents of Knox County, Tennessee, we investigated the characteristics of victims of thirteen different types of fraud. After dividing individuals into categories of non-victims, one-time victims, and repeat victims, we develop profiles of personal fraud victims by examining differences in key demographic and offense characteristics. Next, we investigate the official reporting behavior of victims. The results are instructive for police agencies as they highlight common characteristics of fraud victims and suggest methods for encouraging fraud victims to report their victimization to police.