The age distribution of an industrial group (Scottish Railwaymen)

The age structure of the workers in an old-established industry, and the problems which might arise from it, formed the subject of the investigation. It was found that the group was atypical in that, in addition to having a higher average age than that of the total working population of Scotland, the age distribution was bimodal, with a marked excess in the S o + and a marked deficiency in the 3 5-44 age group. The bimodality was due to high recruitment after the first world war, followed by a low one a few years later. The bimodality was especially marked among footplatemen. On the basis of age structure it is very difficult to identify grades to which older workers might be transferred. Certain receiving grades which " accommodate " the less healthy (and potentially also the older workers) were found to be relatively small in size compared with the operating grades, footplatemen or signalmen. Projections were made to explore some of the repercussions of converting the age structure of a bimodal distribution to a standard, the working population of Scotland. There were three assumptions on total size : maintaining the size, a slow fall to 70% and a rapid fall to 70%. Within each of these there were three assumptions on sickness absence, drawn from experience of Scottish railwaymen and particularly footplatemen. These effects are described in the paper. They are not policy recommendations of what should happen ; they are indications of what might happen in certain circumstances. In a bimodal distribution it is easy to effect a reduction in total numbers by a reduction in recruitment, but the consequential longer term fluctuations in numbers are substantial and in sickness absence more so. Those concerned with problems arising from recruitment, redundancy and age structures of working populations could get useful information by using appropriately realistic assumptions

Age groups · Age structure · Bimodality · Demographic economics · Distribution (mathematics) · Economics · Geography · Population · Sociology · Demography · Global Health Care Issues · Mathematics · Retirement, Disability, and Employment