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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

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