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Women's Employment - United Nations Research Institute for Social ...

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Gender dimensions of labour migration in Dhaka city’s <strong>for</strong>mal manufacturing sector<br />

Table 7:<br />

Distribution of sample respondents by sources of help to<br />

secure/seek the present job<br />

Sources Garment industries Other manufacturing industries<br />

Male Female Male Female<br />

No. (%) No. (%) No. (%) No. (%)<br />

Family members/<br />

relatives 14 19.2 13 18.1 2 11.8 4 28.6<br />

Neighbours/<br />

friends 14 19.2 16 22.2 1 5.90 3 21.4<br />

Employers/<br />

employers agent 23 31.5 14 19.4 5 29.4 3 21.4<br />

Newspaper/<br />

Other<br />

Advertisement 4 5.5 6 8.3 5 29.4 3 21.4<br />

Self 18 24.7 23 31.9 4 23.5 1 7.1<br />

All 73 100.0 72 100 17 100. 14 100<br />

Source: Sample survey of migrant workers of Dhaka’s <strong>for</strong>mal manufacturing<br />

sector, 1996.<br />

III. Profiles of the sample workers and some<br />

important consequences of factory work<br />

1. Demographic and social characteristics<br />

One major change in rural-urban migration over the past decade<br />

has been the increasing proportion of young women with low levels<br />

of educational attainment originating from rural areas. The increasing<br />

importance of RMG industries in absorbing young and literate or semiliterate<br />

women can be observed from the present study. Almost all<br />

the women (96 per cent) in the sample from the garment factories<br />

migrated between 1980 and 1996 (with the proportion evenly divided<br />

between the migration periods 1980-90 and 1991-96). In contrast, none<br />

of the women in the sample from other manufacturing units migrated<br />

between 1990 and 1996 (Table 2). The proportion of those who<br />

migrated between 1980 and 1990 was 47 per cent <strong>for</strong> females and 40<br />

per cent <strong>for</strong> males. The sample confirms the observed tendency <strong>for</strong><br />

RMG industries to attract women with little education: a migrant<br />

female worker in the garment factories is least educated compared to<br />

her male or female counterparts from the same or other manufacturing<br />

industries (Table 3), although, as noted above, she is likely to have<br />

more education than women who remain in rural areas. Regarding<br />

age at migration, a woman worker was on average at least two years<br />

119

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