Seasonality of workload of women in rural areas of Bangladesh: some male-female comparison

Bangladesh Dev Stud. 1986 Dec;14(4):123-30.

Abstract

PIP: This paper discusses sex differences in the seasonality of domestic and productive work among males and females in Bangladesh. The greater fluctuation in productive work done by women is most likely due to the seasonal demand by agricultural processing activities rather than by voluntary withdrawal of women from work. In the case of housework, the amount of work done by men is more variable. This again may be understood in terms of the type of work performed by each. Women are engaged in the essential chores like cooking, cleaning, and in the essential part of child care such as feeding. Housework done by men consists mostly of shopping, some maintenance of the house and household goods, and looking after children, which mainly consists of playing with them. Given such a division of work, which is always to the advantage of men, they have more flexibility in being able to postpone housework when productive work peaks. In periods without employment, men spend longer hours at the market. Women from the richer classes work more hours than do women from the poorer classes, while the opposite is true for men. This study suggests that women's seasonal workload deserves attention because it creates a greater pressure on them than it does on men. Moreover, the pressure of the seasonal workload falls disproportionately on women from various landholding groups. Women from large landholding groups are overburdened in the peak season, whereas males in this group are comfortably underemployed even in the busy season. The structural factors which hinder the lowering of the wealthier women's workload by hiring women from landless and land-poor groups need to be studied carefully.

MeSH terms

  • Asia
  • Bangladesh
  • Demography
  • Developing Countries
  • Economics*
  • Employment*
  • Household Work*
  • Population Characteristics*
  • Population Dynamics*
  • Population*
  • Rural Population
  • Seasons*
  • Sex Factors*
  • Social Planning*
  • Time Factors