Demographic and Health Survey 2009-10 - Timor-Leste Ministry of ...

Table 3.6.2 Occupation: Men
Percent distribution of men age 15-49 employed in the 12 months preceding the survey by occupation, according to background characteristics,
Timor-Leste 2009-10
Background
characteristic
42 | Characteristics of Respondents
Professional/
technical/
managerial
Sales and
services
Skilled
manual
Unskilled
manual
Domestic
service Agriculture Missing Total
Number of
men
Age
15-19 3.6 5.4 1.1 2.8 1.0 85.7 0.4 100.0 680
20-24 8.3 10.6 1.8 4.6 1.1 72.6 1.1 100.0 525
25-29 12.4 18.8 1.6 5.9 0.2 58.4 2.7 100.0 537
30-34 13.0 22.2 3.3 4.9 0.1 56.1 0.4 100.0 424
35-39 14.2 19.5 1.8 4.9 0.1 58.8 0.7 100.0 535
40-44 15.6 14.5 0.9 6.4 0.0 61.5 1.1 100.0 449
45-49
Marital status
11.8 13.7 1.3 0.1 0.0 71.8 1.4 100.0 387
Never married 8.2 8.5 1.3 4.2 0.9 76.2 0.7 100.0 1,390
Married or living together
Divorced/separated/
12.6 18.5 1.9 4.3 0.1 61.3 1.4 100.0 2,101
widowed
Number of living children
4.9 5.1 2.1 5.0 0.0 82.9 0.0 100.0 47
0 8.8 9.4 1.3 4.2 0.8 74.6 1.0 100.0 1,527
1-2 10.3 20.4 2.6 4.7 0.4 59.1 2.5 100.0 621
3-4 13.1 22.1 1.2 5.4 0.0 57.4 0.7 100.0 703
5+
Residence
13.3 12.3 2.0 2.8 0.0 69.2 0.4 100.0 688
Urban 19.5 36.0 1.6 10.1 0.6 29.2 2.9 100.0 769
Rural
District
8.4 8.4 1.7 2.6 0.4 78.0 0.6 100.0 2,769
Aileu 10.9 3.6 0.0 0.8 0.0 84.3 0.4 100.0 154
Ainaro 4.5 6.7 0.0 0.8 2.7 85.3 0.0 100.0 192
Baucau 5.4 13.4 2.9 3.7 0.0 72.2 2.4 100.0 396
Bobonaro 6.4 10.5 0.8 1.8 0.0 80.1 0.4 100.0 324
Covalima 15.1 11.9 3.0 3.3 0.0 66.6 0.0 100.0 215
Dili 24.3 45.9 2.4 11.9 0.4 10.9 4.2 100.0 515
Ermera 3.4 3.4 0.3 0.7 0.0 92.1 0.0 100.0 489
Lautem 7.2 8.2 1.5 3.9 1.5 77.7 0.0 100.0 280
Liquiçá 12.3 12.3 4.3 6.6 0.0 63.6 0.9 100.0 244
Manatuto 8.0 21.9 4.1 5.1 1.3 58.8 0.9 100.0 185
Manufahi 19.9 8.4 0.0 3.1 0.0 68.6 0.0 100.0 105
Oecussi 8.4 6.2 0.2 0.9 0.4 83.8 0.0 100.0 226
Viqueque
Education
16.3 4.5 0.5 6.3 0.0 71.9 0.5 100.0 214
No education 4.2 6.4 1.7 0.9 0.0 86.7 0.1 100.0 762
Primary 8.1 9.8 2.5 2.8 0.2 76.2 0.3 100.0 965
Secondary 12.1 18.8 1.3 6.0 0.7 59.6 1.5 100.0 1,623
More than secondary
Wealth quintile
40.0 32.7 0.0 10.3 0.7 11.3 5.0 100.0 188
Lowest 4.2 2.3 1.0 2.0 0.3 90.1 0.2 100.0 675
Second 5.2 5.2 1.2 2.0 0.3 85.4 0.8 100.0 733
Middle 8.0 6.4 2.4 2.0 0.4 80.2 0.6 100.0 722
Fourth 14.7 17.9 1.1 5.7 0.4 58.9 1.2 100.0 726
Highest 22.1 41.1 2.5 9.9 0.6 21.1 2.7 100.0 682
Total 15-49 10.8 14.4 1.6 4.3 0.4 67.4 1.1 100.0 3,538
The relationship between occupation and age is mixed. One notable finding is the relatively
higher percentages of women age 25-34 employed in sales and services and engaged in professional,
technical, and managerial occupations.
Residence has a significant effect on the type of occupation. As expected, a high proportion of
respondents in rural areas—seven in ten employed women, and eight in ten employed men—are
engaged in agricultural work. Urban women are most likely to be engaged in sales and services
compared with other occupations. Women and men in Dili are much more likely to be engaged in
sales and services and in professional, technical, and managerial occupations, and are least likely to be
engaged in agriculture. On the other hand, women and men in Ermera are most likely to be engaged in
agriculture and least likely to be engaged in sales and services.