Manpower Survey, 2015

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台灣 (Taiwan, ROC)

Directorate-General of Budget, Accounting and Statistics, Executive Yuan

Manpower Survey, 2015

Study Documentation

August 2, 2016

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Metadata Production

Metadata Producer(s)

學術調查研究資料庫(Survey Research Data Archive) (SRDA) , 中央研究院人社中心調查研究專題中心 , DDI文件製作

Production Date August 27, 2016

Version 2.0

版，參考IHSN Nesstar Template修改

Identification AA000038en

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economic development. The geographic scope of this survey covers Taiwan area. All civilian population aged 15 years and over, currently registering in ordinary household or institutional households, undertaking economic activities are included but those in military services or in prison are excluded.

　　Through face-to-face interviews or telephone interviews, the sampled households are surveyed by well-trained

interviewers who are recruited and assigned by local governments. Sample frame is the recent 1 year's villages/

neighborhoods household registration data file sorted by other register data. A two-stage stratified sampling is schemed to sample households for this survey. Sample units drawn in the first stage of sampling are villages/ neighborhoods , while those drawn in the second stage are households.

Kind of Data

抽樣調查資料 (Sample survey data)

Scope & Coverage

Countries

台灣 (Taiwan, ROC)

Geographic Coverage

The geographic scope of this survey covers Taiwan area.

Universe

All civilian population aged 15 years and over, currently registering in ordinary household or institutional households, undertaking economic activities are included but those in military services or in prison are excluded.

Producers & Sponsors

Primary Investigator(s)

Directorate-General of Budget, Accounting and Statistics, Executive Yuan

Other Producer(s) Directorate-General of Budget, Accounting and Statistics, Executive Yuan (DGBAS) Funding Agency/ies Directorate-General of Budget, Accounting and Statistics, Executive Yuan (DGBAS)

Sampling

Sampling Procedure (1)Sample

design：

(a)Sample frames: the recent 1 year's TSUN/LIs household registration data file sorted by other register data.

(b)A two-stage stratified sampling is schemed to sample households for this survey : sample units drawn in the first stage of sampling are TSUN/LIs , while those drawn in the second stage are households.

(c) For first stage sampling, one must sort out with household registration data, the descriptive statistics of TSUN/LIs and then stratify TSUN/LIs according to the type of industrial structure,age and the level of education attainment. Each of 20 counties/cities in Taiwan Area is a single subpopulation for the stratification mentioned above.

(d) In the second stage, households are sampled inside TSUN/LIs drawn in the first stage conducted above.

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(2)Sample size: Approximately 500 TSUN/LIs were drawn in the first stage of sampling and about 20,300 households were than sampled in the second stage, overall sampling fraction is 2.6 0/00. There are near 60,000 persons aged 15 and above in these sampled households.

(3)Sample

drawing：DGBAS conducted the first stage sampling. All TSUN/LIs were firstly stratified according to criteria

proposed and then serialized them with their households numbers. After that, a serial number was randomly selected as a start point to sample TSUN/LIs systematically with a given span. A systematic sampling method was also adopted in the second stage which was conducted by the Office of Accounting and Statistics in local governments, the results of second- stage sampling was later handed to survey interviewers who were to compile respective sample frames.

(4)sample

rotation：TSUN/LIs stratified for the first stage of sampling is categorized into 4 groups named as A,B,C and

D. These groups are further chopped into 8 subgroups and then sorted as two packs(A1B1C1D1) and (A2B2C2D2) when one pack shift to another each year, three TSUN/LIs are drawn from each packed subgroup so that 12 TSUN/LIs available and are rotatively assigned to surveys in given year. It takes 4 months to exercise such rotation across subgroups in each pack so that each subgroup would be rotated 3 times. Generally speaking, January, May and September would be the months for group A ( either subgroup A1 or subgroup A2 drawn); February , June and October for group B (either B1 or B2 drawn ); March, July and November for group C (either C1 or C2 drawn): April , August and December for group D(either D1 or D2 drawn).From each TSUN/LI drawn in the first stage, two sets of households are sampled in the second stage. After consecutively surveyed for two months, the set of households would be alternatively shifted to another for next two months. After surveying for one year, the packed subgroups A1B1C1and D1 would be alternatively shifted to A2B2C2D2; and vice versa next year.

(5)handing of institutional

households：The population of institutional households in TSUN/LIs last year is taken as the

sample frame to draw persons in there for institutional portion of this survey later on.

Data Collection

Data Collection Mode

面對面訪問及電話訪問(Face-to-face and Telephone Interviews)

Data Processing & Appraisal

Data Editing

The Center for Survey Research (CSR), Research Center for Humanities and Social Sciences Academia Sinica, has checked wild codes and out-of-range values, to validate and clean data.

Accessibility

Contact(s)

學術調查研究資料庫(Survey Research Data Archive) (中央研究院人社中心調查研究專題中

心) ,

https://srda.sinica.edu.tw , [email protected] Distributor(s)

學術調查研究資料庫(Survey Research Data Archive)

Depositor(s) Directorate-General of Budget, Accounting and Statistics, Executive Yuan Access Conditions

會員版(一般會員、院內會員)--申請審核通過後下載

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Manpower Survey, 2015 - Files Description

Files Description

Dataset contains 1 file(s)

lb2015

# Cases 688237

# Variable(s) 49

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Variables Group(s)

Dataset contains 3 group(s)

Group ID

# Name Label Type Format Valid Invalid Question

1 id Sample code discrete character-17 688237 0 -

2 area Region discrete numeric-1.0 688237 0 -

3 stage Stratum discrete numeric-1.0 688237 0 -

4 county County code discrete numeric-2.0 688237 0 -

5 town Virtual townships code continuous numeric-2.0 688237 0 -

6 id1 Household continuous numeric-3.0 688237 0 -

7 no Persons aged 15 years

or over in each sampled household

discrete numeric-2.0 688237 0 -

8 id2 Serial no. of interviewees in household

Group Questionnaire

1 a0 Are questions answered by interviewees himself/herself?

2 a1 Relationship to householder discrete numeric-2.0 688237 0 -

3 a2 Sex discrete numeric-1.0 688237 0 -

4 a3 Current age in full years continuous numeric-3.0 688237 0 -

5 a4 Marital status discrete numeric-1.0 688237 0 -

6 a5_1 Are you attending schools currently?

7 a5_2 Educational attainment (highest)

8 a6 Academic or professional

specialty

9 a7 Did you retire from

any public / private establishments before?

(Have you ever retired from any public / private establishments yet?)

10 a8 What were you mainly doing during last week?

11 a9 Were you undertaking any paid or unpaid family work last week?

12 a10_1a How many hours did you work last week?

Major job: work for full time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

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Manpower Survey, 2015 - Variables Group(s)

13 a10_1b How many hours did you work last week?

Major job: work for part time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

14 a10_2a How many hours did you work last week?

Secondary job:work for full time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

15 a10_2b How many hours did you work last week?

Secondary job:work for part time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

16 a10_1 How many hours did you work last week?(1) for the major job __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

17 a10_2 How many hours did you work last week?(2) for all other jobs __hours (Go to Q11 if total hours less than 35;otherwise,skip to Q21)

18 a11 Why did you work less than 35 hours last week?

19 a12 Do you expect to increase of working hours?

20 a13 Why were you absent from work last week?

21 a14 Did you earn any pay from work last week?

22 a15 If there is a job offer, can you take it at once?

23 a16_1 How did you seek a job?

(multiple choices)

29 a17 Do you expect to take a full- time job (35 or more hours per week) or a part-time job?

30 a18 How long did you take for current job seeking or waiting for a recall to work

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since you were jobless?

_______weeks (all go to Q19)

31 a19 Did you have a job before? discrete numeric-1.0 688237 0 -

32 a20 What was the main reason you left the last job mentioned in Q19?

33 a21_1 What is the main workplace you are/were in? (1) location of this workplace

34 a21_2 What is the main workplace you are/were in? (2) name of workplace and its major products or services

35 a21_3 What is the main workplace you are/were in? (3) number of employees

36 a21_b2 What is the secondary workplace you are/were in?

(2) name of workplace and its major products or services

37 a22 What is/was your duty in the main workplace mentioned in Q21?

38 a22b What is/was your duty in the secondary workplace mentioned in Q21?

39 a23 What is/was the class of workers you are/were in for the major job?

40 a23b What is/was the class of workers you are/were in for the secondary job?

Group Weight variable

1 weight Weight continuous numeric-4.0 688237 0 -

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Manpower Survey, 2015 - Variables Description

Variables Description

Dataset contains 49 variable(s)

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#

id: Sample code

Information [Type= discrete] [Format=character] [Missing=*]

Statistics [NW/ W] [Valid=688237 /-] [Invalid=0 /-]

#

area: Region

Information [Type= discrete] [Format=numeric] [Range= 0-6] [Missing=*]

Value Label Cases Percentage

0 Taiwan Province 300771 43.7%

1 Taipei City 58586 8.5%

2 Kaohsiung City 71925 10.5%

3 New Taipei City 71982 10.5%

4 Taichung City 66669 9.7%

5 Tainan City 68487 10.0%

6 Taoyuan City 49817 7.2%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

#

stage: Stratum

1 172117 25.0%

2 202623 29.4%

3 149086 21.7%

4 96417 14.0%

5 48560 7.1%

6 19434 2.8%

#

county: County code

2 Yilan County 21405 3.1%

4 Hsinchu County 17362 2.5%

5 Miaoli County 22540 3.3%

7 Changhua County 39750 5.8%

8 Nantou County 23160 3.4%

9 Yunlin County 28022 4.1%

10 Chiayi County 23669 3.4%

13 Pingtung County 32476 4.7%

14 Taitung County 14362 2.1%

15 Hualien County 16676 2.4%

16 Penghu County 8822 1.3%

17 Keelung City 16125 2.3%

18 Hsinchu City 19095 2.8%

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File : lb2015

#

county: County code

20 Chiayi City 17307 2.5%

63 Taipei City 58586 8.5%

67 Tainan City 68487 10.0%

68 Taoyuan City 49817 7.2%

75 Kinmen、Matsu 0

76 China area (Hong Kong & Macau included) 0

77 Foreign area 0

#

town: Virtual townships code

Information [Type= continuous] [Format=numeric] [Range= 1-38] [Missing=*]

Statistics [NW/ W] [Valid=688237 /-] [Invalid=0 /-] [Mean=12.132 /-] [StdDev=9.398 /-]

#

id1: Household

#

no: Persons aged 15 years or over in each sampled household

1 49877 7.2%

2 149154 21.7%

3 144446 21.0%

4 169048 24.6%

5 102490 14.9%

6 43998 6.4%

7 17346 2.5%

8 6192 0.9%

9 2511 0.4%

10 1640 0.2%

11 891 0.1%

12 312 0.0%

13 156 0.0%

14 84 0.0%

15 60 0.0%

16 32 0.0%

#

id2: Serial no. of interviewees in household

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#

id2: Serial no. of interviewees in household

1 246521 35.8%

2 196644 28.6%

3 122069 17.7%

4 73919 10.7%

5 31657 4.6%

6 11159 1.6%

7 3826 0.6%

8 1348 0.2%

9 574 0.1%

10 295 0.0%

11 131 0.0%

12 50 0.0%

13 24 0.0%

14 12 0.0%

15 6 0.0%

16 2 0.0%

#

a0: Are questions answered by interviewees himself/herself?

1 Yes, self 245442 35.7%

2 Equivalent 442117 64.2%

3 No, proxy 678 0.1%

#

a1: Relationship to householder

1 Householder 246521 35.8%

2 Spouse 138855 20.2%

3 Child 202676 29.4%

4 Grandchild 24920 3.6%

5 Parent 25630 3.7%

6 Grandparent 571 0.1%

7 Brother/Sister 12760 1.9%

8 Child's spouse 26637 3.9%

9 Grandchild's spouse 675 0.1%

10 Brother'/Sister' spouse 1678 0.2%

11 Spouse's parent 1871 0.3%

12 Spouse's brother/sister 636 0.1%

13 Other relatives 4487 0.7%

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File : lb2015

#

a1: Relationship to householder

14 Others 320 0.0%

#

a2: Sex

1 Male 343902 50.0%

2 Female 344335 50.0%

#

a3: Current age in full years

#

a4: Marital status

1 Never married 218774 31.8%

2 Married and cohabited 377919 54.9%

3 Divorced or separated 32759 4.8%

4 Widowed 58785 8.5%

#

a5_1: Are you attending schools currently?

1 Yes (go to Q5-2) 67929 9.9%

2 No, had been graduated (go to Q5-2) 552139 80.2%

3 No, had been suspended (go to Q5-2) 29330 4.3%

4 No, never attended any school that is(was) approved by the m 38839 5.6%

#

a5_2: Educational attainment (highest)

1 Illiterate (skip to Q7) 32010 4.7%

2 Self-educated (skip to Q7) 6829 1.0%

3 Primary school (skip to Q7) 108898 15.8%

4 Junior high school (skip to Q7) 95922 13.9%

5 Senior high school (skip to Q7) 76252 11.1%

6 Vocational school (go to Q6) 129216 18.8%

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#

a5_2: Educational attainment (highest)

7 Junior college (go to Q6) 63270 9.2%

8 University(go to Q6) 146583 21.3%

9 Master's (go to Q6) 26385 3.8%

10 Ph. D's(go to Q6) 2872 0.4%

#

a6: Academic or professional specialty

0 Skip or N/A 319911 46.5%

1 Literature (go to Q7) 18436 2.7%

2 Law (go to Q7) 3123 0.5%

3 Business , management,Journalism and Information (go to Q7) 131983 19.2%

4 Science (go to Q7) 8786 1.3%

5 Engineering (go to Q7) 118713 17.2%

6 Agriculture (go to Q7) 9137 1.3%

7 Medical (go to Q7) 18813 2.7%

8 Military and police (go to Q7) 7038 1.0%

9 Education (go to Q7) 10153 1.5%

10 Personal services (go to Q.7) 25943 3.8%

11 Arts and design (go to Q.7) 9817 1.4%

12 Social Sciences and services (go to Q.7) 5829 0.8%

13 Others(specify)__ (go to Q.7) 555 0.1%

#

a7: Did you retire from any public / private establishments before? (Have you ever retired from any public / private establishments yet?)

1 Yes (go to Q8) 50263 7.3%

2 No (go to Q8) 637974 92.7%

#

a8: What were you mainly doing during last week?

1 Undertaking some kind of work (skip to Q10) 349994 50.9%

2 Undertaking works after school hours (skip to Q10) 2494 0.4%

3 Undertaking works after housekeeping hours(skip to Q10) 1328 0.2%

4 Having a job but not at work (skip to Q13) 3642 0.5%

5 Jobless and seeking work or waiting for an offer after job s 8749 1.3%

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File : lb2015

#

a8: What were you mainly doing during last week?

6 Intending and being able to work but not seeking (stop) 4391 0.6%

7 Attending schools or rebrushing to take entrance exams (go t 64995 9.4%

8 Housekeeping (mark (3) or (5) respectively, if working part- 92050 13.4%

9 Elderly (aged 65 and above) or disabled persons (go to Q9) 115490 16.8%

10 Idleness (go to Q9) 26189 3.8%

11 Wound or illness (go to Q9) 7842 1.1%

12 In armed force, prison or missing (stop) 9454 1.4%

13 Others(specify)__ (go to Q9) 1619 0.2%

#

a9: Were you undertaking any paid or unpaid family work last week?

0 Skip or N/A 688237 100.0%

1 Undertaking work after school or housekeeping hours (go to Q 0

2 Undertaking a kind of work (go to Q10) 0

3 Having a job but not a work (skip to Q13) 0

4 Not undertaking any job (stop) 0

#

a10_1a: How many hours did you work last week?Major job: work for full time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

0 Skip or N/A 660030 95.9%

4 2 0.0%

5 1 0.0%

6 2 0.0%

8 16 0.0%

10 10 0.0%

12 8 0.0%

14 5 0.0%

15 6 0.0%

16 45 0.0%

17 2 0.0%

18 5 0.0%

20 38 0.0%

21 7 0.0%

22 1 0.0%

24 127 0.0%

25 15 0.0%

26 6 0.0%

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#

a10_1a: How many hours did you work last week?Major job: work for full time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

27 5 0.0%

28 24 0.0%

30 119 0.0%

31 1 0.0%

32 80 0.0%

34 1 0.0%

35 889 0.1%

36 408 0.1%

37 11 0.0%

38 126 0.0%

39 24 0.0%

40 11981 1.7%

41 33 0.0%

42 837 0.1%

43 132 0.0%

44 794 0.1%

45 995 0.1%

46 229 0.0%

47 16 0.0%

48 6705 1.0%

49 55 0.0%

50 1420 0.2%

51 20 0.0%

52 257 0.0%

53 18 0.0%

54 379 0.1%

55 257 0.0%

56 665 0.1%

57 16 0.0%

58 78 0.0%

59 15 0.0%

60 821 0.1%

61 1 0.0%

62 15 0.0%

63 57 0.0%

64 19 0.0%

65 28 0.0%

66 31 0.0%

67 1 0.0%

68 7 0.0%

69 2 0.0%

70 144 0.0%

72 107 0.0%

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File : lb2015

#

a10_1a: How many hours did you work last week?Major job: work for full time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

74 2 0.0%

75 1 0.0%

76 2 0.0%

77 7 0.0%

78 3 0.0%

79 1 0.0%

80 7 0.0%

82 1 0.0%

84 51 0.0%

85 1 0.0%

90 4 0.0%

91 2 0.0%

96 1 0.0%

98 3 0.0%

100 1 0.0%

112 1 0.0%

#

a10_1b: How many hours did you work last week?Major job: work for part time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

0 Skip or N/A 687447 99.9%

1 1 0.0%

2 4 0.0%

3 9 0.0%

4 13 0.0%

5 3 0.0%

6 11 0.0%

7 1 0.0%

8 33 0.0%

9 8 0.0%

10 29 0.0%

11 1 0.0%

12 38 0.0%

13 1 0.0%

14 10 0.0%

15 34 0.0%

16 72 0.0%

18 25 0.0%

19 1 0.0%

20 127 0.0%

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- 19 -

#

a10_1b: How many hours did you work last week?Major job: work for part time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

21 10 0.0%

22 5 0.0%

23 2 0.0%

24 125 0.0%

25 41 0.0%

26 4 0.0%

27 2 0.0%

28 30 0.0%

29 2 0.0%

30 100 0.0%

32 14 0.0%

35 16 0.0%

36 3 0.0%

38 1 0.0%

40 9 0.0%

48 3 0.0%

50 2 0.0%

#

a10_2a: How many hours did you work last week? Secondary job:work for full time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

0 Skip or N/A 688186 100.0%

5 2 0.0%

6 2 0.0%

8 2 0.0%

10 3 0.0%

12 8 0.0%

15 4 0.0%

16 3 0.0%

18 5 0.0%

20 18 0.0%

25 1 0.0%

30 2 0.0%

32 1 0.0%

#

a10_2b: How many hours did you work last week? Secondary job:work for part time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

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File : lb2015

#

a10_2b: How many hours did you work last week? Secondary job:work for part time __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

0 Skip or N/A 688149 100.0%

2 2 0.0%

3 3 0.0%

4 2 0.0%

5 2 0.0%

6 3 0.0%

7 1 0.0%

8 8 0.0%

10 6 0.0%

12 8 0.0%

14 3 0.0%

15 8 0.0%

16 12 0.0%

17 1 0.0%

18 4 0.0%

20 16 0.0%

21 1 0.0%

22 1 0.0%

24 6 0.0%

28 1 0.0%

#

a10_1: How many hours did you work last week?(1) for the major job __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

0 Skip or N/A 334421 48.6%

1 4 0.0%

2 33 0.0%

3 54 0.0%

4 140 0.0%

5 57 0.0%

6 128 0.0%

7 70 0.0%

8 663 0.1%

9 63 0.0%

10 530 0.1%

11 14 0.0%

12 514 0.1%

13 10 0.0%

14 222 0.0%

15 556 0.1%

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- 21 -

#

a10_1: How many hours did you work last week?(1) for the major job __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

16 1672 0.2%

17 15 0.0%

18 398 0.1%

19 9 0.0%

20 2422 0.4%

21 318 0.0%

22 90 0.0%

23 31 0.0%

24 3461 0.5%

25 671 0.1%

26 115 0.0%

27 85 0.0%

28 819 0.1%

29 13 0.0%

30 2393 0.3%

31 9 0.0%

32 9358 1.4%

33 48 0.0%

34 115 0.0%

35 9793 1.4%

36 6004 0.9%

37 185 0.0%

38 1657 0.2%

39 300 0.0%

40 143483 20.8%

41 556 0.1%

42 9761 1.4%

43 1700 0.2%

44 9304 1.4%

45 11113 1.6%

46 3242 0.5%

47 434 0.1%

48 76096 11.1%

49 882 0.1%

50 15848 2.3%

51 358 0.1%

52 3046 0.4%

53 313 0.0%

54 3684 0.5%

55 2193 0.3%

56 8043 1.2%

57 104 0.0%

58 495 0.1%

(22)

File : lb2015

#

a10_1: How many hours did you work last week?(1) for the major job __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

59 46 0.0%

60 12352 1.8%

61 30 0.0%

62 208 0.0%

63 638 0.1%

64 246 0.0%

65 419 0.1%

66 473 0.1%

67 12 0.0%

68 131 0.0%

69 7 0.0%

70 2553 0.4%

71 4 0.0%

72 1815 0.3%

73 4 0.0%

74 26 0.0%

75 38 0.0%

76 22 0.0%

77 94 0.0%

78 50 0.0%

79 1 0.0%

80 76 0.0%

81 4 0.0%

82 11 0.0%

84 678 0.1%

85 15 0.0%

86 13 0.0%

87 5 0.0%

88 4 0.0%

90 36 0.0%

91 35 0.0%

92 1 0.0%

93 1 0.0%

96 8 0.0%

98 40 0.0%

100 3 0.0%

105 7 0.0%

107 1 0.0%

108 2 0.0%

110 1 0.0%

112 4 0.0%

120 6 0.0%

126 2 0.0%

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- 23 -

#

a10_1: How many hours did you work last week?(1) for the major job __hours(Go to Q11 if total hours less than 35;otherwise,skip to Q21)

#

a10_2: How many hours did you work last week?(2) for all other jobs __hours (Go to Q11 if total hours less than 35;otherwise,skip to Q21)

0 Skip or N/A 687461 99.9%

2 11 0.0%

3 11 0.0%

4 15 0.0%

5 18 0.0%

6 19 0.0%

7 6 0.0%

8 61 0.0%

9 5 0.0%

10 72 0.0%

12 73 0.0%

14 21 0.0%

15 61 0.0%

16 131 0.0%

17 5 0.0%

18 40 0.0%

20 160 0.0%

21 11 0.0%

22 5 0.0%

24 22 0.0%

25 7 0.0%

26 2 0.0%

27 1 0.0%

28 5 0.0%

30 11 0.0%

32 3 0.0%

#

a11: Why did you work less than 35 hours last week?

0 Skip or N/A 663480 96.4%

1 Unfavorable conditions of business (go to Q12) 4795 0.7%

2 Unable to find a job which should work more than 35 hours pe 1076 0.2%

3 Seasonal reasons (go to Q12) 1910 0.3%

4 Bad weather or natural calamities (go to Q12) 366 0.1%

(24)

File : lb2015

#

a11: Why did you work less than 35 hours last week?

5 Work itself only need to work less than 35 hours per week? ( 4462 0.6%

6 Take care of children (skip to Q21) 289 0.0%

7 Take care of elders (skip to Q21) 128 0.0%

8 Busy in housekeeping (skip to Q21) 615 0.1%

9 Busy in studying/attending school (skip to Q21) 1538 0.2%

10 Wound or illness, official holidays, personal leaves, or spe 8523 1.2%

11 Unwilling to work longer (skip to Q21) 781 0.1%

#

a12: Do you expect to increase of working hours?

0 Skip or N/A 675354 98.1%

1 Yes(skip to Q21) 7942 1.2%

2 No (skip to Q21) 4941 0.7%

#

a13: Why were you absent from work last week?

0 Skip or N/A 684595 99.5%

1 Wound of illness (skip to Q21) 431 0.1%

2 Seasonal reasons (skip to Q21) 1573 0.2%

3 Official holidays, personal leaves, or sepcial days off (ski 872 0.1%

4 Deciding to start working in the near future but no pay curr 113 0.0%

5 Not at work resulted from accidents even though having emplo 60 0.0%

6 Waiting for a recall to work (go to Q14) 480 0.1%

7 Others(specify)__ (skip to Q21) 113 0.0%

#

a14: Did you earn any pay from work last week?

0 Skip or N/A 687757 99.9%

1 Yes (skip to Q21) 28 0.0%

2 No (skip to Q18) 452 0.1%

#

a15: If there is a job offer, can you take it at once?

(25)

- 25 -

#

a15: If there is a job offer, can you take it at once?

0 Skip or N/A 679488 98.7%

1 Yes (go to Q16) 7820 1.1%

3 No, because of attending school or rebrushing to taking entr 14 0.0%

4 No, because of housekeeping (stop) 7 0.0%

5 No, because of old age (elders aged 65 or over) or disable ( 0

6 No, because of idleness (stop) 5 0.0%

7 No, because of wound or illness (stop) 18 0.0%

8 No, because of others(specify)__ (stop) 885 0.1%

#

a16_1: How did you seek a job?(multiple choices)

0 Skip or N/A 56831 100.0%

1 Referenced by relatives, friends or teachers (go to Q17) 0

2 Through private employment agencies (go to Q17) 0

3 Referring recruiting advertisements or posters (go to Q17) 0

4 Through public employment offices (go to Q17) 0

5 Through civil service exams and placement (go to Q17) 0

6 Others(specify)__ (go to Q17) 0

Sysmiss 631406

#

a16_2: How did you seek a job?(multiple choices)

0 Skip or N/A 56831 99.9%

1 Referenced by relatives, friends or teachers (go to Q17) 33 0.1%

2 Through private employment agencies (go to Q17) 0

Sysmiss 631373

#

a16_3: How did you seek a job?(multiple choices)

0 Skip or N/A 56803 99.3%

(26)

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#

a16_3: How did you seek a job?(multiple choices)

2 Through private employment agencies (go to Q17) 40 0.1%

Sysmiss 631008

#

a16_4: How did you seek a job?(multiple choices)

0 Skip or N/A 56678 96.2%

3 Referring recruiting advertisements or posters (go to Q17) 51 0.1%

Sysmiss 629346

#

a16_5: How did you seek a job?(multiple choices)

0 Skip or N/A 56443 91.5%

4 Through public employment offices (go to Q17) 93 0.2%

Sysmiss 626583

#

a16_6: How did you seek a job?(multiple choices)

0 Skip or N/A 680417 98.9%

(27)

- 27 -

#

a16_6: How did you seek a job?(multiple choices)

4 Through public employment offices (go to Q17) 1849 0.3%

5 Through civil service exams and placement (go to Q17) 644 0.1%

#

a17: Do you expect to take a full-time job (35 or more hours per week) or a part-time job?

0 Skip or N/A 680417 98.9%

1 A full-time job (go to Q18) 7714 1.1%

2 A part-time job (go to Q18) 106 0.0%

#

a18: How long did you take for current job seeking or waiting for a recall to work since you were jobless?

_______weeks (all go to Q19)

0 Skip or N/A 679852 98.8%

1 365 0.1%

2 560 0.1%

3 420 0.1%

4 573 0.1%

5 216 0.0%

6 291 0.0%

7 184 0.0%

8 633 0.1%

9 164 0.0%

10 165 0.0%

11 66 0.0%

12 539 0.1%

13 113 0.0%

14 72 0.0%

15 67 0.0%

16 347 0.1%

17 77 0.0%

18 56 0.0%

19 33 0.0%

20 227 0.0%

21 32 0.0%

22 41 0.0%

23 22 0.0%

24 375 0.1%

(28)

File : lb2015

#

a18: How long did you take for current job seeking or waiting for a recall to work since you were jobless?

_______weeks (all go to Q19)

25 50 0.0%

26 55 0.0%

27 20 0.0%

28 219 0.0%

29 72 0.0%

30 78 0.0%

31 23 0.0%

32 75 0.0%

33 11 0.0%

34 38 0.0%

35 34 0.0%

36 55 0.0%

37 13 0.0%

38 21 0.0%

39 21 0.0%

40 74 0.0%

41 4 0.0%

42 15 0.0%

43 6 0.0%

44 41 0.0%

45 23 0.0%

46 14 0.0%

47 96 0.0%

48 87 0.0%

49 16 0.0%

50 66 0.0%

51 79 0.0%

52 153 0.0%

53 181 0.0%

54 56 0.0%

55 28 0.0%

56 71 0.0%

57 131 0.0%

58 38 0.0%

59 13 0.0%

60 49 0.0%

61 7 0.0%

62 14 0.0%

63 7 0.0%

64 32 0.0%

65 16 0.0%

66 12 0.0%

67 4 0.0%

(29)

- 29 -

#

a18: How long did you take for current job seeking or waiting for a recall to work since you were jobless?

_______weeks (all go to Q19)

68 16 0.0%

69 8 0.0%

70 15 0.0%

71 7 0.0%

72 19 0.0%

73 5 0.0%

74 8 0.0%

75 7 0.0%

76 14 0.0%

77 10 0.0%

78 9 0.0%

79 3 0.0%

80 21 0.0%

81 8 0.0%

82 17 0.0%

83 5 0.0%

84 15 0.0%

85 5 0.0%

86 10 0.0%

87 7 0.0%

88 3 0.0%

89 5 0.0%

90 37 0.0%

91 4 0.0%

92 1 0.0%

93 2 0.0%

94 21 0.0%

95 6 0.0%

96 10 0.0%

98 2 0.0%

99 Over 99 weeks 329 0.0%

#

a19: Did you have a job before?

0 Skip or N/A 679852 98.8%

1 Yes (go to Q20) 6588 1.0%

2 No (stop) 1797 0.3%

#

a20: What was the main reason you left the last job mentioned in Q19?

(30)

File : lb2015

#

a20: What was the main reason you left the last job mentioned in Q19?

0 Skip or N/A 681649 99.0%

1 Business shrunk or establishment closed (go to Q21) 1923 0.3%

2 Unsatisfied to that job (go to Q21) 3228 0.5%

3 Ill health (go to Q21) 259 0.0%

4 Seasonal or temporary work finished (go to Q21) 914 0.1%

5 Got married or gave birth (if interviewee is female) (go to 38 0.0%

6 Retired (go to Q21) 30 0.0%

7 Busy in housekeeping (go to Q21) 65 0.0%

#

a21_1: What is the main workplace you are/were in? (1) location of this workplace

0 Skip or N/A 324756 47.2%

200 Yilan County 9 0.0%

201 Yilan City, Yilan County 2424 0.4%

202 Luodong Township, Yilan County 1526 0.2%

203 Suao Township, Yilan County 1240 0.2%

204 Toucheng Township, Yilan County 378 0.1%

205 Jiaosi Township, Yilan County 616 0.1%

206 Jhuangwei Township, Yilan County 455 0.1%

207 Yuanshan Township, Yilan County 487 0.1%

208 Dongshan Township, Yilan County 731 0.1%

209 Wujie Township, Yilan County 710 0.1%

210 Sansing Township, Yilan County 456 0.1%

211 Datong Township, Yilan County 153 0.0%

212 Nanao Township, Yilan County 185 0.0%

301 Taoyuan City, Taoyuan County 0

400 Hsinchu County 42 0.0%

401 Jhubei City, Hsinchu County 3099 0.5%

402 Jhudong Township, Hsinchu County 977 0.1%

403 Sinpu Township, Hsinchu County 469 0.1%

404 Guansi Township, Hsinchu County 425 0.1%

405 Hukou Township, Hsinchu County 1899 0.3%

406 Sinfong Township, Hsinchu County 614 0.1%

407 Cyonglin Township, Hsinchu County 374 0.1%

408 Hengshan Township,Hsinchu County 199 0.0%

409 Beipu Township, Hsinchu County 60 0.0%

410 Baoshan Township, Hsinchu County 239 0.0%

411 Emei Township, Hsinchu County 132 0.0%

(31)

- 31 -

#

a21_1: What is the main workplace you are/were in? (1) location of this workplace

412 Jianshih Township, Hsinchu County 196 0.0%

413 Wufong Township, Hsinchu County 23 0.0%

500 Miaoli County 3 0.0%

501 Miaoli City, Miaoli County 2282 0.3%

502 Yuanli Township, Miaoli County 461 0.1%

503 Tongsiao Township, Miaoli County 552 0.1%

504 Jhunan Township, Miaoli County 2493 0.4%

505 Toufen Township, Miaoli County 1182 0.2%

506 Houlong Township, Miaoli County 194 0.0%

507 Jhuolan Township, Miaoli County 250 0.0%

508 Dahu Township, Miaoli County 311 0.0%

509 Gongguan Township, Miaoli County 419 0.1%

510 Tongluo Township, Miaoli County 493 0.1%

511 Nanjhuang Township, Miaoli County 21 0.0%

512 Touwu Township, Miaoli County 67 0.0%

513 Sanyi Township, Miaoli County 135 0.0%

514 Sihu Township, Miaoli County 174 0.0%

515 Zaociao Township, Miaoli County 185 0.0%

516 Sanwan Township, Miaoli County 119 0.0%

517 Shihtan Township, Miaoli County 65 0.0%

518 Taian Township, Miaoli County 18 0.0%

700 Changhua County 2 0.0%

701 Changhua City, Changhua County 3929 0.6%

702 Lugang Township, Changhua County 1607 0.2%

703 Hemei Township, Changhua County 1008 0.1%

704 Siansi Township, Changhua County 286 0.0%

705 Shengang Township, Changhua County 835 0.1%

706 Fusing Township, Changhua County 875 0.1%

707 Sioushuei Township, Changhua County 547 0.1%

708 Huatan Township, Changhua County 705 0.1%

709 Fenyuan Township, Changhua County 217 0.0%

710 Yuanlin Township, Changhua County 1410 0.2%

711 Sihu Township, Changhua County 1000 0.1%

712 Tianjhong Township, Changhua County 628 0.1%

713 Dacun Township, Changhua County 399 0.1%

714 Puyan Township, Changhua County 349 0.1%

715 Pusin Township, Changhua County 677 0.1%

716 Yongjing Township, Changhua County 404 0.1%

717 Shetou Township, Changhua County 320 0.0%

718 Ershuei Township, Changhua County 127 0.0%

719 Beidou Township, Changhua County 335 0.0%

720 Erlin Township, Changhua County 938 0.1%

721 Tianwei Township, Changhua County 346 0.1%

(32)

File : lb2015

#

a21_1: What is the main workplace you are/were in? (1) location of this workplace

722 Pitou Township, Changhua County 215 0.0%

723 Fangyuan Township, Changhua County 389 0.1%

724 Dacheng Township, Changhua County 32 0.0%

725 Jhutang Township, Changhua County 517 0.1%

726 Sijhou Township, Changhua County 321 0.0%

800 Nantou County 9 0.0%

801 Nantou City, Nantou County 2449 0.4%

802 Puli Township, Nantou County 1667 0.2%

803 Caotun Township, Nantou County 1436 0.2%

804 Jhushan Township, Nantou County 1242 0.2%

805 Jiji Township, Nantou County 423 0.1%

806 Mingjian Township, Nantou County 483 0.1%

807 Lugu Township, Nantou County 487 0.1%

808 Jhongliao Township, Nantou County 320 0.0%

809 Yuchih Township, Nantou County 539 0.1%

810 Guosing Township, Nantou County 281 0.0%

811 Shueili Township, Nantou County 388 0.1%

812 Sinyi Township, Nantou County 432 0.1%

813 Renai Township, Nantou County 133 0.0%

900 Yunlin County 12 0.0%

901 Douliou City, Yunlin County 2784 0.4%

902 Dounan Township, Yunlin County 911 0.1%

903 Huwei Township, Yunlin County 1057 0.2%

904 Siluo Township, Yunlin County 397 0.1%

905 Tuku Township, Yunlin County 466 0.1%

906 Beigang Township, Yunlin County 975 0.1%

907 Gukeng Township, Yunlin County 444 0.1%

908 Dabi Township, Yunlin County 270 0.0%

909 Cihtong Township, Yunlin County 518 0.1%

910 Linnei Township, Yunlin County 244 0.0%

911 Erlun Township, Yunlin County 272 0.0%

912 Lunbei Township, Yunlin County 717 0.1%

913 Mailiao Township, Yunlin County 1260 0.2%

914 Dongshih Township, Yunlin County 252 0.0%

915 Baojhong Township, Yunlin County 308 0.0%

916 Taisi Township, Yunlin County 123 0.0%

917 Yuanchang Township, Yunlin County 460 0.1%

918 Sihhu Township, Yunlin County 155 0.0%

919 Kouhu Township, Yunlin County 370 0.1%

920 Shueilin Township, Yunlin County 766 0.1%

1000 Chiayi County 6 0.0%

1001 Taibao City, Chiayi County 971 0.1%

1002 Puzih City, Chiayi County 952 0.1%

(33)

- 33 -

#

a21_1: What is the main workplace you are/were in? (1) location of this workplace

1003 Budai Township, Chiayi County 818 0.1%

1004 Dalin Township, Chiayi County 934 0.1%

1005 Minsyong Township, Chiayi County 1525 0.2%

1006 Sikou Township, Chiayi County 236 0.0%

1007 Singang Township, Chiayi County 825 0.1%

1008 Liujiao Township, Chiayi County 276 0.0%

1009 Dongshih Township, Chiayi County 371 0.1%

1010 Yijhu Township, Chiayi County 666 0.1%

1011 Lucao Township, Chiayi County 330 0.0%

1012 Shueishang Township, Chiayi County 671 0.1%

1013 Jhongpu Township, Chiayi County 569 0.1%

1014 Jhuci Township, Chiayi County 671 0.1%

1015 Meishan Township, Chiayi County 224 0.0%

1016 Fanlu Township, Chiayi County 346 0.1%

1017 Dapu Township, Chiayi County 4 0.0%

1018 Alishan Township, Chiayi County 45 0.0%

1300 Pingtung County 14 0.0%

1301 Pingtung City, Pingtung County 3809 0.6%

1302 Chaojhou Township, Pingtung County 927 0.1%

1303 Donggang Township, Pingtung County 743 0.1%

1304 Hengchun Township, Pingtung County 720 0.1%

1305 Wandan Township, Pingtung County 380 0.1%

1306 Changjhih Township, Pingtung County 292 0.0%

1307 Linluo Township, Pingtung County 123 0.0%

1308 Jiouru Township, Pingtung County 330 0.0%

1309 Ligang Township, Pingtung County 236 0.0%

1310 Yanpu Township, Pingtung County 382 0.1%

1311 Gaoshu Township, Pingtung County 525 0.1%

1312 Wanluan Township, Pingtung County 408 0.1%

1313 Neipu Township, Pingtung County 745 0.1%

1314 Jhutian Township, Pingtung County 189 0.0%

1315 Sinbi Township, Pingtung County 231 0.0%

1316 Fangliao Township, Pingtung County 448 0.1%

1317 Sinyuan Township, Pingtung County 520 0.1%

1318 Kanding Township, Pingtung County 142 0.0%

1319 Linbian Township, Pingtung County 188 0.0%

1320 Nanjhou Township, Pingtung County 290 0.0%

1321 Jiadong Township, Pingtung County 185 0.0%

1322 Liouciu Township, Pingtung County 12 0.0%

1323 Checheng Township, Pingtung County 206 0.0%

1324 Manjhou Township, Pingtung County 63 0.0%

1325 Fangshan Township, Pingtung County 141 0.0%

1326 Sandimen Township, Pingtung County 295 0.0%

(34)

File : lb2015

#

a21_1: What is the main workplace you are/were in? (1) location of this workplace

1327 Wutai Township, Pingtung County 3 0.0%

1328 Majia Township, Pingtung County 28 0.0%

1329 Taiwu Township, Pingtung County 7 0.0%

1330 Laiyi Township, Pingtung County 50 0.0%

1331 Chunrih Township, Pingtung County 117 0.0%

1332 Shihzih Township, Pingtung County 12 0.0%

1333 Mudan Township, Pingtung County 103 0.0%

1400 Taitung County 53 0.0%

1401 Taitung City, Taitung County 2830 0.4%

1402 Chenggong Township, Taitung County 493 0.1%

1403 Guanshan Township, Taitung County 293 0.0%

1404 Beinan Township, Taitung County 417 0.1%

1405 Luye Township, Taitung County 179 0.0%

1406 Chishang Township, Taitung County 465 0.1%

1407 Donghe Township, Taitung County 104 0.0%

1408 Changbin Township, Taitung County 288 0.0%

1409 Taimali Township, Taitung County 462 0.1%

1410 Dawu Township, Taitung County 208 0.0%

1411 Lyudao Township, Taitung County 169 0.0%

1412 Haiduan Township, Taitung County 162 0.0%

1413 Yanping Township, Taitung County 18 0.0%

1414 Jinfong Township, Taitung County 106 0.0%

1415 Daren Township, Taitung County 29 0.0%

1416 Lanyu Township, Taitung County 97 0.0%

1500 Hualien County 4 0.0%

1501 Hualien City, Hualien County 3624 0.5%

1502 Fonglin Township, Hualien County 161 0.0%

1503 Yuli Township, Hualien County 429 0.1%

1504 Sincheng Township, Hualien County 430 0.1%

1505 Jian Township, Hualien County 765 0.1%

1506 Shoufong Township, Hualien County 241 0.0%

1507 Guangfu Township, Hualien County 376 0.1%

1508 Fongbin Township, Hualien County 318 0.0%

1509 Rueisui Township, Hualien County 147 0.0%

1510 Fuli Township, Hualien County 365 0.1%

1511 Sioulin Township, Hualien County 119 0.0%

1512 Wanrong Township, Hualien County 74 0.0%

1513 Jhuosi Township, Hualien County 44 0.0%

1600 Penghu County 0

1601 Magong City, Penghu County 2103 0.3%

1602 Husi Township, Penghu County 273 0.0%

1603 Baisha Township, Penghu County 148 0.0%

1604 Siyu Township, Penghu County 315 0.0%

(35)

- 35 -

#

a21_1: What is the main workplace you are/were in? (1) location of this workplace

1605 Wangan Township, Penghu County 10 0.0%

1606 Cimei Township, Penghu County 0

1700 Keelung City 4840 0.7%

1800 Hsinchu City 13016 1.9%

2000 Chiayi City 7349 1.1%

6300 Taipei City 46147 6.7%

6700 Tainan City 37975 5.5%

6800 Taoyuan City 29156 4.2%

7500 Kinmen、Matsu 31 0.0%

7600 China、Hong kong、Macau area 1165 0.2%

7700 Foreign area 821 0.1%

#

a21_2: What is the main workplace you are/were in? (2) name of workplace and its major products or services

0 Skip or N/A 324756 47.2%

1 Agriculture and animal husbandry 25560 3.7%

2 Forestry 279 0.0%

3 Fishing and Aquaculture 2542 0.4%

5 Extraction of Crude Petroleum and Natural Gas 103 0.0%

6 Quarrying of Stone, Sand and Clay 308 0.0%

7 Other Mining and Quarrying 2 0.0%

8 Manufacture of Food Products 5689 0.8%

9 Manufacture of Beverages 637 0.1%

10 Manufacture of Tobacco Products 25 0.0%

11 Manufacture of Textiles 3302 0.5%

12 Manufacture of Wearing Apparel and Clothing Accessories 2495 0.4%

13 Manufacture of Leather, Fur and Related Products 1468 0.2%

14 Manufacture of Wood and of Products of Wood and Bamboo 892 0.1%

15 Manufacture of Paper and Paper Products 1757 0.3%

16 Printing and Reproduction of Recorded Media 1760 0.3%

17 Manufacture of Petroleum and Coal Products 657 0.1%

18 Manufacture of Chemical Material 2460 0.4%

19 Manufacture of Chemical Products 1464 0.2%

20 Manufacture of Pharmaceuticals and Medicinal Chemical Produc 1173 0.2%

21 Manufacture of Rubber Products 910 0.1%

22 Manufacture of Plastics Products 4179 0.6%

23 Manufacture of Other Non-metallic Mineral Products 2534 0.4%

24 Manufacture of Basic Metals 2753 0.4%

(36)

File : lb2015

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a21_2: What is the main workplace you are/were in? (2) name of workplace and its major products or services

25 Manufacture of Fabricated Metal Products 12554 1.8%

26 Manufacture of Electronic Parts and Components 20627 3.0%

27 Manufacture of Computers, Electronic and Optical Products 5627 0.8%

28 Manufacture of Electrical Equipment 3513 0.5%

29 Manufacture of Machinery and Equipment 6587 1.0%

30 Manufacture of Motor Vehicles and Parts 2828 0.4%

31 Manufacture of Other Transport Equipment and Parts 2264 0.3%

32 Manufacture of Furniture 1288 0.2%

33 Other Manufacturing 3212 0.5%

34 Repair and Installation of Industrial Machinery and Equipmen 1485 0.2%

35 Electricity and Gas Supply 1128 0.2%

36 Water Supply 287 0.0%

37 Wastewater (Sewage) Treatment 263 0.0%

38 Waste Collection, Treatment and Disposal Activities; Materia 2211 0.3%

39 Remediation Activities and Other Waste Management Services 16 0.0%

41 Construction of Buildings 12943 1.9%

42 Civil Engineering 2787 0.4%

43 Specialized Construction Activities 15317 2.2%

45 Wholesale Trade 9416 1.4%

46 Wholesale Trade 8188 1.2%

47 Retail Trade 28377 4.1%

48 Retail Trade 11272 1.6%

49 Land Transportation 8654 1.3%

50 Water Transportation 463 0.1%

51 Air Transportation 674 0.1%

52 Support Activities for Transportation 1904 0.3%

53 Warehousing and Storage 322 0.0%

54 Postal and Courier Activities 1647 0.2%

55 Accommodation 2959 0.4%

56 Food and Beverage Service Activities 25695 3.7%

58 Publishing Activities 939 0.1%

59 Motion Picture, Video and Television Programme Production, S 386 0.1%

60 Programming and Broadcasting Activities 791 0.1%

61 Telecommunications 1257 0.2%

62 Computer Systems Design Services 2703 0.4%

63 Information Service Activities 271 0.0%

64 Financial Intermediation 5346 0.8%

65 Insurance 4634 0.7%

66 Securities, Futures and other Financing 1122 0.2%

67 Real Estate Development Activities 274 0.0%

68 Real Estate Operation and Related Activities 2548 0.4%

69 Legal and Accounting Activities 2542 0.4%

70 Activities of Head Offices; Management Consultancy Activitie 909 0.1%

(37)

- 37 -

#

a21_2: What is the main workplace you are/were in? (2) name of workplace and its major products or services

71 Architecture and Engineering Activities; Technical Testing a 2306 0.3%

72 Scientific Research and Development 1144 0.2%

73 Advertising and Market Research 905 0.1%

74 Specialized Design Activities 1385 0.2%

75 Veterinary Activities 166 0.0%

76 Other Professional, Scientific and Technical Activities 804 0.1%

77 Rental and Leasing Activities 472 0.1%

78 Employment Activities 549 0.1%

79 Travel agency, Tour Operator, Reservation Service and Relate 1336 0.2%

80 Security and Investigation Activities 3218 0.5%

81 Services to Buildings and Landscape Activities 3061 0.4%

82 Business and Office Support Activities 569 0.1%

83 Public Administration and Defence; Compulsory Social Securit 11774 1.7%

84 Activities of Extraterritorial Organizations and Bodies 7 0.0%

85 Education 18607 2.7%

86 Human Health Activities 12118 1.8%

87 Residential Care Activities 999 0.1%

88 Social Work Activities without Accommodation 726 0.1%

90 Creative, Arts and Entertainment Activities 570 0.1%

91 Libraries, Archives, Museums and Other Cultural Activities 409 0.1%

92 Gambling and Betting Activities 339 0.0%

93 Sports Activities and Amusement and Recreation Activities 2173 0.3%

94 Activities of Membership Organizations 2657 0.4%

95 Maintenance and Repair of Personal and Household Goods 6825 1.0%

96 Other Personal Service Activities 9183 1.3%

#

a21_3: What is the main workplace you are/were in? (3) number of employees

0 Skip or N/A 324756 47.2%

1 1 person (go to Q22) 35291 5.1%

2 2-9 persons (go to Q22) 135696 19.7%

3 10-29 persons (go to Q22) 61202 8.9%

4 30-49 persons (go to Q22) 24675 3.6%

5 50-99 persons (go to Q22) 20744 3.0%

6 100-199 persons (go to Q22) 18386 2.7%

7 200-499 persons (go to Q22) 12810 1.9%

8 500 persons or more (go to Q22) 22530 3.3%

9 Government or public sector (go to Q22) 32147 4.7%

Manpower Survey, 2015

台灣 (Taiwan, ROC)

Directorate-General of Budget, Accounting and Statistics, Executive Yuan