Demographic and Health Survey 2009-10 - Timor-Leste Ministry of ...
Demographic and Health Survey 2009-10 - Timor-Leste Ministry of ...
Demographic and Health Survey 2009-10 - Timor-Leste Ministry of ...
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3.4.2 Occupation<br />
Respondents who were currently employed or who had worked in the 12 months preceding<br />
the survey were asked further about their occupation. The results are presented in Tables 3.6.1 <strong>and</strong><br />
3.6.2, which show data on employed women <strong>and</strong> men, respectively, by occupation <strong>and</strong> according to<br />
background characteristics. Agriculture is the dominant sector <strong>of</strong> the economy <strong>of</strong> <strong>Timor</strong>-<strong>Leste</strong>, <strong>and</strong><br />
most employed persons work in the agricultural sector. Specifically, 61 percent <strong>of</strong> employed women<br />
<strong>and</strong> 67 percent <strong>of</strong> employed men are engaged in agricultural jobs. Tables 3.6.1 <strong>and</strong> 3.6.2 further show<br />
that 22 percent <strong>of</strong> women <strong>and</strong> 14 percent <strong>of</strong> men are employed in sales <strong>and</strong> service.<br />
The survey indicates that 6 percent <strong>of</strong> employed women are manual workers (skilled <strong>and</strong><br />
unskilled), while 7 percent are engaged in the pr<strong>of</strong>essional, technical, <strong>and</strong> managerial fields. The type<br />
<strong>of</strong> occupation varies greatly by gender. Women are less likely than men to be highly educated or to<br />
have attended vocational or technical schools. Therefore, their employment in the pr<strong>of</strong>essional,<br />
technical, <strong>and</strong> managerial sector is somewhat low compared with that <strong>of</strong> men (7 percent compared<br />
with 11 percent).<br />
Table 3.6.1 Occupation: Women<br />
Percent distribution <strong>of</strong> women age 15-49 employed in the 12 months preceding the survey by occupation, according to background characteristics,<br />
<strong>Timor</strong>-<strong>Leste</strong> <strong>2009</strong>-<strong>10</strong><br />
Background<br />
characteristic<br />
Pr<strong>of</strong>essional/<br />
technical/<br />
managerial<br />
Sales <strong>and</strong><br />
services<br />
Skilled<br />
manual<br />
Unskilled<br />
manual<br />
Domestic<br />
service Agriculture Missing Total<br />
Number <strong>of</strong><br />
women<br />
Age<br />
15-19 1.5 14.6 0.3 5.5 6.3 71.3 0.5 <strong>10</strong>0.0 725<br />
20-24 5.8 22.8 0.0 7.2 4.4 58.9 1.0 <strong>10</strong>0.0 740<br />
25-29 8.5 26.7 0.2 6.7 4.9 52.0 1.0 <strong>10</strong>0.0 737<br />
30-34 8.5 25.9 0.5 6.7 4.2 52.8 1.5 <strong>10</strong>0.0 687<br />
35-39 7.1 22.4 0.4 5.3 3.5 60.5 0.8 <strong>10</strong>0.0 826<br />
40-44 8.3 21.1 0.2 5.5 2.4 62.1 0.4 <strong>10</strong>0.0 800<br />
45-49<br />
Marital status<br />
5.6 19.3 0.2 4.9 1.6 68.4 0.1 <strong>10</strong>0.0 671<br />
Never married 5.7 18.2 0.0 6.4 4.1 64.4 1.3 <strong>10</strong>0.0 1,360<br />
Married or living together<br />
Divorced/separated/<br />
6.8 23.4 0.3 5.9 4.2 58.7 0.6 <strong>10</strong>0.0 3,458<br />
widowed<br />
Number <strong>of</strong> living children<br />
6.5 21.0 0.5 4.2 0.3 67.4 0.0 <strong>10</strong>0.0 368<br />
0 6.0 18.4 0.0 6.6 4.4 63.4 1.2 <strong>10</strong>0.0 1,592<br />
1-2 7.5 26.6 0.4 6.9 3.4 55.0 0.2 <strong>10</strong>0.0 922<br />
3-4 8.4 26.0 0.3 6.1 4.3 53.9 1.0 <strong>10</strong>0.0 1,187<br />
5+<br />
Residence<br />
4.9 19.3 0.3 4.5 3.4 67.1 0.4 <strong>10</strong>0.0 1,484<br />
Urban 15.2 44.8 0.2 <strong>10</strong>.2 7.5 19.2 2.9 <strong>10</strong>0.0 1,067<br />
Rural<br />
District<br />
4.3 15.9 0.3 4.9 2.9 71.6 0.2 <strong>10</strong>0.0 4,119<br />
Aileu 3.2 7.5 0.0 2.4 6.9 79.8 0.1 <strong>10</strong>0.0 369<br />
Ainaro 9.4 <strong>10</strong>.2 0.0 3.2 2.6 74.6 0.0 <strong>10</strong>0.0 184<br />
Baucau 7.8 26.1 0.4 6.7 3.0 54.6 1.3 <strong>10</strong>0.0 370<br />
Bobonaro 3.4 18.0 0.2 14.3 0.3 63.6 0.1 <strong>10</strong>0.0 558<br />
Covalima 7.6 24.3 0.0 4.0 0.0 64.1 0.0 <strong>10</strong>0.0 326<br />
Dili 17.6 48.6 0.5 12.3 5.4 11.7 4.0 <strong>10</strong>0.0 740<br />
Ermera 3.8 3.8 0.5 2.1 0.6 89.3 0.0 <strong>10</strong>0.0 670<br />
Lautem 12.7 24.8 0.0 5.7 0.3 55.5 1.0 <strong>10</strong>0.0 155<br />
Liquiçá 4.6 19.7 0.3 4.0 0.8 70.3 0.3 <strong>10</strong>0.0 301<br />
Manatuto 5.2 24.4 0.0 <strong>10</strong>.2 3.0 56.9 0.2 <strong>10</strong>0.0 221<br />
Manufahi 4.8 22.9 0.0 3.6 0.6 68.1 0.0 <strong>10</strong>0.0 225<br />
Oecussi 1.4 24.7 0.0 1.4 12.9 59.5 0.0 <strong>10</strong>0.0 769<br />
Viqueque<br />
Education<br />
4.4 <strong>10</strong>.3 0.7 2.8 1.6 79.8 0.4 <strong>10</strong>0.0 298<br />
No education 0.6 14.7 0.3 4.6 2.2 77.3 0.3 <strong>10</strong>0.0 2,012<br />
Primary 1.2 19.8 0.1 4.8 4.6 68.6 0.9 <strong>10</strong>0.0 1,326<br />
Secondary 13.4 30.3 0.3 8.0 5.5 41.7 0.9 <strong>10</strong>0.0 1,651<br />
More than secondary<br />
Wealth quintile<br />
45.6 36.9 0.0 <strong>10</strong>.3 3.2 1.3 2.7 <strong>10</strong>0.0 197<br />
Lowest 1.3 12.3 0.2 3.5 3.7 78.8 0.2 <strong>10</strong>0.0 1,149<br />
Second 1.9 13.5 0.0 3.5 2.2 78.6 0.4 <strong>10</strong>0.0 1,049<br />
Middle 3.1 13.9 0.5 4.9 3.4 73.9 0.2 <strong>10</strong>0.0 1,077<br />
Fourth 6.8 26.0 0.3 6.9 4.8 54.7 0.6 <strong>10</strong>0.0 922<br />
Highest 20.9 46.6 0.2 11.6 5.5 12.7 2.5 <strong>10</strong>0.0 990<br />
Total 6.5 21.8 0.2 5.9 3.9 60.8 0.8 <strong>10</strong>0.0 5,186<br />
Characteristics <strong>of</strong> Respondents | 41