台灣 (Taiwan, ROC) Hung-kun Tsai
The National Well-being Indicators in R.O.C.(Taiwan),2014
Study Documentation
January 12, 2016
Metadata Production
Metadata Producer(s) Survey Research Data Archive (Survey Research Data Archive(SRDA)) , Center for Survey Research, Research Center for Humanities Social Sciences, Academia Sinica, Taipei, Taiwan , DDI
文件製作Production Date January 12, 2016
Version 2.0
版,參考IHSN Nesstar Template修改Identification AA310002en
Table of Contents
Overview... 4
Scope & Coverage... 4
Producers & Sponsors...4
Sampling...5
Data Collection...5
Data Processing & Appraisal...5
Accessibility... 5
Files Description... 6
data2014... 6
Variables Group(s)... 7
Basic information...7
Social connections...8
Life satisfaction...8
Civic engagement and governance... 10
Weighted related variables... 10
Variables Description...12
data2014... 13
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Overview
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The National Well-being Indicators in R.O.C.(Taiwan),2014
The National Well-being Indicators in R.O.C.(Taiwan),2014
Overview
Type The National Well-being Indicators in R.O.C.( Taiwan) Identification AA310002en
Version Production Date: 2016-01-11 Abstract
Individuals' well-being can be analyzed in terms of two major dimensions- subjective and objective dimensions. Studies
that concentrate on the subjective dimension indicate that an individual's cognitive perception or satisfaction with different life domains deserve attention because such a perception reveals the subjective evaluation of the life experience. This project aims to understand national subjective well-being by collecting survey data on individuals' attitudes toward happiness, social connections, civil engagement, and governance. The associations of happiness with these important factors will be examined.
Survey data will be used to construct subjective well-being indicators, with which objective indicators will be incorporated to reveal the full picture of the National Well-being Indicators.
By using computer assisted telephone interviewing techniques, a representative sample aged 15 or older will be
interviewed. The questionnaire includes items on social connections, civil engagement, and government as used in the previous year. Questions on happiness are drawn from the OECD's "Guidelines on Measuring Subjective Well-Being." Core questions and domain evaluation questions are included to measure cognitive perception and satisfaction with life in general and with different life domains. The results can be compared with other countries using the same measurement in order to obtain an international ranking.
The results indicate that the relationship between age and subjective well-being is U shape, meaning that younger and
older respondents have the highest level of subjective well-being, while those in the middle age have the lowest. In addition, social relations and trust in governance and democracy are positively associated with subjective well-being. Participation in political activities, however, is found to reduce respondents' well-being.
Kind of Data
抽樣調查資料 (Sample survey data)Unit of Analysis individuals
Scope & Coverage
Time Period(s) 2014
Countries
台灣 (Taiwan, ROC)Geographic Coverage
Taiwan, Penghu County, Lianjiang County in Fujian Province and Kinmen County Universe
People with aged 15 or older will be interviewed.
Producers & Sponsors
Primary Investigator(s)
Hung-kun Tsai
Other Producer(s) Center for Survey Research (CSR) , Research Center for Humanities Social Sciences Funding Agency/ies Directorate-General of Budget, Accounting and Statistic (DGBAS)
Other
Acknowledgment(s)
, Principal Investigator , Associate Research Fellow , Research Assistant
, Supervisor
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Overview
, Senior Specialist , Specialist , Senior Specialist , Senior Specialist
Sampling
Sampling Procedure
Random Digit Dialing using Stratified Multi-Stage Probability Proportionate to Size (PPS), within household sampling.
Data Collection
Data Collection Dates start 2014-05-12 end 2014-06-10
Data Collection Mode Computer Assisted Telephone Interview (CATI)
Data Processing & Appraisal
Data Editing
CSR has checked wild codes and out-of-range values, to validate and clean data. There is no doubt about data accuracy after the validation.
Accessibility
Contact(s) Survey Research Data Archive (Center for Survey Research, Research Center for Humanities Social Sciences, Academia Sinica, Taipei, Taiwan) , https://srda.sinica.edu.tw , [email protected] Distributor(s) Survey Research Data Archive
Depositor(s) Directorate-General of Budget, Accounting and Statistic Access Conditions
會員版(一般會員、院內會員)--申請審核通過後下載
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Files Description
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Files Description
Dataset contains 1 file(s)
data2014
# Cases 2605
# Variable(s) 70
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Variables Group(s)
Variables Group(s)
Dataset contains 5 group(s)
Group Basic information
# Name Label Type Format Valid Invalid Question
1 v1 1 When were you born? continuous numeric-2.0 2605 0 -
2 v1a 1a How old are you this year?
discrete numeric-1.0 2605 0 -
3 v38 38 The gender of respondent discrete numeric-1.0 2605 0 -
4 v39 39 What is your educational attainment?
discrete numeric-2.0 2605 0 -
5 v40 40 What is your marital status, never married, married, divorced, separated, widowed or cohabited?
discrete numeric-2.0 2605 0 -
6 vz0 z0 What city or county is the number from?
discrete numeric-2.0 2605 0 -
7 vz1 z1 What district is it in Taipei City?
discrete numeric-2.0 2605 0 -
8 vz2 z2 What district is it in New Taipei City?
continuous numeric-2.0 2605 0 -
9 vz3 z3 What district is it in Keelung City?
discrete numeric-2.0 2605 0 -
10 vz4 z4 What district is it in Taoyuan County?
discrete numeric-2.0 2605 0 -
11 vz5 z5 What district is it in Hsinchu County?
discrete numeric-2.0 2605 0 -
12 vz6 z6 What district is it in Hsinchu City?
discrete numeric-2.0 2605 0 -
13 vz7 z7 What district is it in Miaoli County?
discrete numeric-2.0 2605 0 -
14 vz8 z8 What district is it in Taichung City?
continuous numeric-2.0 2605 0 -
15 vz9 z9 What district is it in Changhua County?
continuous numeric-2.0 2605 0 -
16 vz10 z10 What district is it in Nantou County?
discrete numeric-2.0 2605 0 -
17 vz11 z11 What district is it in Yunlin County?
discrete numeric-2.0 2605 0 -
18 vz12 z12 What district is it in Chiayi County?
discrete numeric-2.0 2605 0 -
19 vz13 z13 What district is it in Chiayi City?
discrete numeric-2.0 2605 0 -
20 vz14 z14 What district is it in Tainan County?
continuous numeric-2.0 2605 0 -
21 vz15 z15 What district is it in Kaohsiung City?
continuous numeric-2.0 2605 0 -
22 vz16 z16 What district is it in Pingtung County?
discrete numeric-2.0 2605 0 -
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Variables Group(s)
- 8 -
# Name Label Type Format Valid Invalid Question
23 vz17 z17 What district is it in Yilan County?
discrete numeric-2.0 2605 0 -
24 vz18 z18 What district is it in Hualien County?
discrete numeric-2.0 2605 0 -
25 vz19 z19 What district is it in Taitung County?
discrete numeric-2.0 2605 0 -
26 vz20 z20 What district is it in Penghu County?
discrete numeric-2.0 2605 0 -
27 vz21 z21 What district is it in Kinmen County?
discrete numeric-2.0 2605 0 -
28 vz22 z22 What district is it in Lienchiang County?
continuous numeric-2.0 2605 0 -
29 rec_no Sample Code continuous numeric-5.0 2605 0 -
Group Social connections
# Name Label Type Format Valid Invalid Question
1 v2 The question below will ask you about the social connections, 2 If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?
discrete numeric-1.0 2605 0 -
2 v3 3 The frequency with which the respondent usually gets together with friends during a usual year. Only friends who don't live in the same household as the respondent should be considered.
discrete numeric-1.0 2605 0 -
3 v4 4 The frequency with which the respondent usually gets together with family during a usual year. Only family who don't live in the same household as the respondent should be considered.
discrete numeric-1.0 2605 0 -
4 v5 5 How many familiar
people( family included) do you contact during a usual day?(nodding, greeting, talking, calling, mailing, contacting via internet)
discrete numeric-1.0 2605 0 -
5 v6 6 How many people do you
think can be trusted with in the society?
discrete numeric-1.0 2605 0 -
Group Life satisfaction
# Name Label Type Format Valid Invalid Question
1 v7 The following questions ask about how you felt yesterday on a scale from 0 to 10.
Zero means you did not experience the feeling 'at all' yesterday while 10 means
discrete numeric-2.0 2605 0 -
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Variables Group(s)
# Name Label Type Format Valid Invalid Question
you experienced the feeling 'all of the time' yesterday. 7 How about happy? [0-10]
2 v8 8 How about worried? [0-10] discrete numeric-2.0 2605 0 -
3 v9 9 How about depressed?
[0-10]
discrete numeric-2.0 2605 0 -
4 v10 The following question asks how satisfied you feel, on a scale from 0 to 10. Zero means you feel 'not at all satisfied' and 10 means you feel 'completely satisfied'.10 Overall, how satisfied are you with life as a whole these days? [0-10]
discrete numeric-2.0 2605 0 -
5 v11 The following question asks how worthwhile you feel the things you do in your life are, on a scale from 0 to 10. Zero means you feel the things you do in your life are 'not at all worthwhile', and 10 means 'completely worthwhile'.11 Overall, to what exte
discrete numeric-2.0 2605 0 -
6 v12 The following questions ask how satisfied you feel about specific aspects of your life, on a scale from 0 to 10.
Zero means you feel 'not at all satisfied' and 10 means 'completely satisfied'.12 How satisfied are you with your standard of living? [0-10]
discrete numeric-2.0 2605 0 -
7 v13 13 How satisfied are you with your health? [0-10]
discrete numeric-2.0 2605 0 -
8 v14 14 How satisfied are you with what you are achieving in life? [0-10]
discrete numeric-2.0 2605 0 -
9 v15 15 How satisfied are you with your personal relationships? [0-10]
discrete numeric-2.0 2605 0 -
10 v16 16 How satisfied are you with how safe you feel?
[0-10]
discrete numeric-2.0 2605 0 -
11 v17 17 How satisfied are you with feeling part of your community? [0-10]
discrete numeric-2.0 2605 0 -
12 v18 18 How satisfied are you with your future security?
[0-10]
discrete numeric-2.0 2605 0 -
13 v19 19 How satisfied are you with the amount of time you have to do the things that you like doing? [0-10]
discrete numeric-2.0 2605 0 -
14 v20 20 How satisfied are you with the quality of your local environment? [0-10]
discrete numeric-2.0 2605 0 -
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Variables Group(s)
- 10 -
# Name Label Type Format Valid Invalid Question
15 v21 For respondents who are employed only:21 How satisfied are you with your job? [0-10]
discrete numeric-2.0 2605 0 -
Group Civic engagement and governance
# Name Label Type Format Valid Invalid Question
1 v22 There are different ways of attempting to bring about improvements or counteract deterioration in society.
During the last 12 months, have you done any of the following ? 22 Contacted a politician, government or local government official
discrete numeric-1.0 2605 0 -
2 v23 23 Worked in a political party or action group
discrete numeric-1.0 2605 0 -
3 v24 24 Worked in another
organization or association
discrete numeric-1.0 2605 0 -
4 v25 25 Worn or displayed a campaign badge/sticker
discrete numeric-1.0 2605 0 -
5 v26 26 Signed a petition discrete numeric-1.0 2605 0 -
6 v27 27 Taken part in a lawful public demonstration
discrete numeric-1.0 2605 0 -
7 v28 28 Boycotted certain products
discrete numeric-1.0 2605 0 -
8 v29 29 Call in political panel shows
discrete numeric-1.0 2605 0 -
9 v30 The following questions will ask about your confidence in national government ? 30 Do you have confidence in Legislative Yuan?
discrete numeric-1.0 2605 0 -
10 v31 31 Judicial system or courts? discrete numeric-1.0 2605 0 -
11 v32 32 Other Central
Government
discrete numeric-1.0 2605 0 -
12 v33 33 Local Government discrete numeric-1.0 2605 0 -
13 v34 34 Do you have confidence in the quality and integrity of the media, or not?
discrete numeric-1.0 2605 0 -
14 v35 35 Do you have confidence in the social security system of our country?(such as labor insurance, national pension, labor pension funds, etc.)
discrete numeric-1.0 2605 0 -
15 v36 36 Are you satisfied with our democratic life?
discrete numeric-1.0 2605 0 -
16 v37 37 Are you satisfied with our freedom of speech?
discrete numeric-1.0 2605 0 -
Group Weighted related variables
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Variables Group(s)
# Name Label Type Format Valid Invalid Question
1 sexgp Population by genders discrete numeric-1.0 2605 0 -
2 agegp Population by ages discrete numeric-1.0 2605 0 -
3 edugp Population by educational attainment
discrete numeric-1.0 2605 0 -
4 citygp Population by area discrete numeric-2.0 2605 0 -
5 weight Weight value continuous numeric-8.6 2605 0 -
The National Well-being Indicators in R.O.C.(Taiwan),2014 - Variables Description
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Variables Description
Dataset contains 70 variable(s)
File : data2014
#
v1: 1 When were you born?
Information [Type= continuous] [Format=numeric] [Range= 5-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
96 Before 1911 0
97 DK(continue to answer question1A) 23 35.9%
98 Refused(continue to answer question1A) 41 64.1%
99 Missing or Skip 0
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.
#
v1a: 1a How old are you this year?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 15-24 years old 0
2 25-34 years old 1 0.0%
3 35-44 years old 12 0.5%
4 45-54 years old 16 0.6%
5 55-64 years old 20 0.8%
6 65 years old and over 14 0.5%
7 DK 0
8 Refused 1 0.0%
9 Missing or Skip 2541 97.5%
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.
#
v2: The question below will ask you about the social connections, 2 If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 2385 91.6%
2 No 204 7.8%
7 DK 14 0.5%
8 Refused 2 0.1%
9 Missing or Skip 0
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.
#
v3: 3 The frequency with which the respondent usually gets together with friends during a usual year. Only friends who don't live in the same household as the respondent should be considered.
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Several times a week 430 16.5%
2 Every week(not every day) 329 12.6%
3 Several times a month (not every week) 339 13.0%
4 Once a month 417 16.0%
- 14 -
File : data2014
#
v3: 3 The frequency with which the respondent usually gets together with friends during a usual year. Only friends who don't live in the same household as the respondent should be considered.
Value Label Cases Percentage
5 At least once a year (less then once a month) 780 29.9%
6 Never 299 11.5%
7 DK 11 0.4%
8 Refused 0
9 Missing or Skip 0
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.
#
v4: 4 The frequency with which the respondent usually gets together with family during a usual year. Only family who don't live in the same household as the respondent should be considered.
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Several times a week 280 10.7%
2 Every week(not every day) 367 14.1%
3 Several times a month (not every week) 401 15.4%
4 Once a month 424 16.3%
5 At least once a year (less then once a month) 1001 38.4%
6 Never 118 4.5%
7 DK 14 0.5%
8 Refused 0
9 Missing or Skip 0
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.
#
v5: 5 How many familiar people( family included) do you contact during a usual day?(nodding, greeting, talking, calling, mailing, contacting via internet)
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 0-4 339 13.0%
2 5-9 522 20.0%
3 10-19 710 27.3%
4 20-49 702 26.9%
5 50-99 192 7.4%
6 Over 100 129 5.0%
7 DK 10 0.4%
8 Refused 1 0.0%
9 Missing or Skip 0
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.
#
v6: 6 How many people do you think can be trusted with in the society?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Almost all people can be trusted 64 2.5%
File : data2014
#
v6: 6 How many people do you think can be trusted with in the society?
Value Label Cases Percentage
2 The majority can be trusted 1421 54.5%
3 Half of people can be trusted 118 4.5%
4 The majority can not be trusted 823 31.6%
5 Almost all people can not be trusted 122 4.7%
7 DK 54 2.1%
8 Refused 3 0.1%
9 Missing or Skip 0
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.
#
v7: The following questions ask about how you felt yesterday on a scale from 0 to 10. Zero means you did not experience the feeling 'at all' yesterday while 10 means you experienced the feeling 'all of the time' yesterday. 7 How about happy? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all 60 2.3%
1 19 0.7%
2 45 1.7%
3 97 3.7%
4 54 2.1%
5 475 18.2%
6 310 11.9%
7 431 16.5%
8 661 25.4%
9 162 6.2%
10 All of the time 269 10.3%
97 DK 21 0.8%
98 Refused 1 0.0%
99 Missing or Skip 0
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.
#
v8: 8 How about worried? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all 459 17.6%
1 146 5.6%
2 384 14.7%
3 347 13.3%
4 163 6.3%
5 526 20.2%
6 156 6.0%
7 131 5.0%
8 120 4.6%
- 16 -
File : data2014
#
v8: 8 How about worried? [0-10]
Value Label Cases Percentage
9 43 1.7%
10 All of the time 107 4.1%
97 DK 21 0.8%
98 Refused 2 0.1%
99 Missing or Skip 0
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.
#
v9: 9 How about depressed? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all 870 33.4%
1 185 7.1%
2 362 13.9%
3 327 12.6%
4 93 3.6%
5 378 14.5%
6 94 3.6%
7 74 2.8%
8 85 3.3%
9 38 1.5%
10 All of the time 76 2.9%
97 DK 21 0.8%
98 Refused 2 0.1%
99 Missing or Skip 0
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.
#
v10: The following question asks how satisfied you feel, on a scale from 0 to 10. Zero means you feel 'not at all satisfied' and 10 means you feel 'completely satisfied'.10 Overall, how satisfied are you with life as a whole these days?
[0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 61 2.3%
1 20 0.8%
2 70 2.7%
3 142 5.5%
4 105 4.0%
5 548 21.0%
6 345 13.2%
7 433 16.6%
8 525 20.2%
9 131 5.0%
10 Completely satisfied 207 7.9%
File : data2014
#
v10: The following question asks how satisfied you feel, on a scale from 0 to 10. Zero means you feel 'not at all satisfied' and 10 means you feel 'completely satisfied'.10 Overall, how satisfied are you with life as a whole these days?
[0-10]
Value Label Cases Percentage
97 DK 16 0.6%
98 Refused 2 0.1%
99 Missing or Skip 0
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.
#
v11: The following question asks how worthwhile you feel the things you do in your life are, on a scale from 0 to 10.
Zero means you feel the things you do in your life are 'not at all worthwhile', and 10 means 'completely worthwhile'.11 Overall, to what exte
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all worthwhile 28 1.1%
1 9 0.3%
2 24 0.9%
3 76 2.9%
4 53 2.0%
5 504 19.3%
6 346 13.3%
7 546 21.0%
8 614 23.6%
9 152 5.8%
10 Completely worthwhile 227 8.7%
97 DK 22 0.8%
98 Refused 4 0.2%
99 Missing or Skip 0
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.
#
v12: The following questions ask how satisfied you feel about specific aspects of your life, on a scale from 0 to 10.
Zero means you feel 'not at all satisfied' and 10 means 'completely satisfied'.12 How satisfied are you with your standard of living? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 37 1.4%
1 12 0.5%
2 40 1.5%
3 101 3.9%
4 97 3.7%
5 427 16.4%
6 400 15.4%
7 557 21.4%
8 592 22.7%
9 145 5.6%
- 18 -
File : data2014
#
v12: The following questions ask how satisfied you feel about specific aspects of your life, on a scale from 0 to 10.
Zero means you feel 'not at all satisfied' and 10 means 'completely satisfied'.12 How satisfied are you with your standard of living? [0-10]
Value Label Cases Percentage
10 Completely satisfied 185 7.1%
97 DK 12 0.5%
98 Refused 0
99 Missing or Skip 0
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.
#
v13: 13 How satisfied are you with your health? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 38 1.5%
1 9 0.3%
2 38 1.5%
3 83 3.2%
4 84 3.2%
5 434 16.7%
6 372 14.3%
7 546 21.0%
8 619 23.8%
9 175 6.7%
10 Completely satisfied 194 7.4%
97 DK 11 0.4%
98 Refused 2 0.1%
99 Missing or Skip 0
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.
#
v14: 14 How satisfied are you with what you are achieving in life? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 79 3.0%
1 18 0.7%
2 57 2.2%
3 125 4.8%
4 93 3.6%
5 563 21.6%
6 433 16.6%
7 511 19.6%
8 473 18.2%
9 98 3.8%
10 Completely satisfied 132 5.1%
97 DK 22 0.8%
File : data2014
#
v14: 14 How satisfied are you with what you are achieving in life? [0-10]
Value Label Cases Percentage
98 Refused 1 0.0%
99 Missing or Skip 0
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.
#
v15: 15 How satisfied are you with your personal relationships? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 38 1.5%
1 9 0.3%
2 38 1.5%
3 86 3.3%
4 74 2.8%
5 392 15.0%
6 357 13.7%
7 526 20.2%
8 664 25.5%
9 212 8.1%
10 Completely satisfied 195 7.5%
97 DK 13 0.5%
98 Refused 1 0.0%
99 Missing or Skip 0
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.
#
v16: 16 How satisfied are you with how safe you feel? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 44 1.7%
1 12 0.5%
2 24 0.9%
3 88 3.4%
4 67 2.6%
5 353 13.6%
6 363 13.9%
7 527 20.2%
8 664 25.5%
9 208 8.0%
10 Completely satisfied 234 9.0%
97 DK 21 0.8%
98 Refused 0
99 Missing or Skip 0
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.
- 20 -
File : data2014
#
v17: 17 How satisfied are you with feeling part of your community? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 74 2.8%
1 21 0.8%
2 75 2.9%
3 158 6.1%
4 103 4.0%
5 551 21.2%
6 398 15.3%
7 463 17.8%
8 470 18.0%
9 100 3.8%
10 Completely satisfied 164 6.3%
97 DK 26 1.0%
98 Refused 2 0.1%
99 Missing or Skip 0
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.
#
v18: 18 How satisfied are you with your future security? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 90 3.5%
1 30 1.2%
2 92 3.5%
3 153 5.9%
4 143 5.5%
5 498 19.1%
6 395 15.2%
7 431 16.5%
8 466 17.9%
9 127 4.9%
10 Completely satisfied 152 5.8%
97 DK 25 1.0%
98 Refused 3 0.1%
99 Missing or Skip 0
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.
#
v19: 19 How satisfied are you with the amount of time you have to do the things that you like doing? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 41 1.6%
File : data2014
#
v19: 19 How satisfied are you with the amount of time you have to do the things that you like doing? [0-10]
Value Label Cases Percentage
1 24 0.9%
2 73 2.8%
3 163 6.3%
4 102 3.9%
5 386 14.8%
6 341 13.1%
7 394 15.1%
8 551 21.2%
9 184 7.1%
10 Completely satisfied 326 12.5%
97 DK 19 0.7%
98 Refused 1 0.0%
99 Missing or Skip 0
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.
#
v20: 20 How satisfied are you with the quality of your local environment? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 50 1.9%
1 15 0.6%
2 29 1.1%
3 109 4.2%
4 108 4.1%
5 360 13.8%
6 391 15.0%
7 500 19.2%
8 642 24.6%
9 182 7.0%
10 Completely satisfied 206 7.9%
97 DK 12 0.5%
98 Refused 1 0.0%
99 Missing or Skip 0
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.
#
v21: For respondents who are employed only:21 How satisfied are you with your job? [0-10]
Information [Type= discrete] [Format=numeric] [Range= 0-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
0 Not at all satisfied 45 1.7%
1 Wanli District 13 0.5%
2 Jinshan District 28 1.1%
3 Banciao District 84 3.2%
4 Sijhih District 54 2.1%
- 22 -
File : data2014
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v21: For respondents who are employed only:21 How satisfied are you with your job? [0-10]
Value Label Cases Percentage
5 Shenkeng District 290 11.1%
6 Shihding District 270 10.4%
7 Rueifang District 399 15.3%
8 Pingsi District 446 17.1%
9 Shuangsi District 119 4.6%
10 Gongliao District 150 5.8%
11 Sindian District 0
12 Pinglin District 0
13 Wulai District 0
14 Yonghe District 0
15 Jhonghe District 0
16 Tucheng District 0
17 Sansia District 0
18 Shulin District 0
19 Yingge District 0
20 Sanchong District 0
21 Sinjhuang District 0
22 Taishan District 0
23 Linkou District 0
24 Lujhou District 0
25 Wugu District 0
26 Bali District 0
27 Danshuei District 0
28 Sanjhih District 0
29 Shihmen District 0
96 Retired, full-time student, full-time housewives, current un 702 26.9%
97 DK 4 0.2%
98 Refused 1 0.0%
99 Missing or Skip 0
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.
#
v22: There are different ways of attempting to bring about improvements or counteract deterioration in society.
During the last 12 months, have you done any of the following ? 22 Contacted a politician, government or local government official
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 260 10.0%
2 No 2340 89.8%
7 DK 3 0.1%
8 Refused 2 0.1%
9 Missing or Skip 0
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.
File : data2014
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v23: 23 Worked in a political party or action group
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 73 2.8%
2 No 2529 97.1%
7 DK 1 0.0%
8 Refused 2 0.1%
9 Missing or Skip 0
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.
#
v24: 24 Worked in another organization or association
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 209 8.0%
2 No 2394 91.9%
7 DK 1 0.0%
8 Refused 1 0.0%
9 Missing or Skip 0
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.
#
v25: 25 Worn or displayed a campaign badge/sticker
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 93 3.6%
2 No 2506 96.2%
7 DK 2 0.1%
8 Refused 4 0.2%
9 Missing or Skip 0
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.
#
v26: 26 Signed a petition
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 139 5.3%
2 No 2459 94.4%
7 DK 4 0.2%
8 Refused 3 0.1%
9 Missing or Skip 0
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.
#
v27: 27 Taken part in a lawful public demonstration
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
- 24 -
File : data2014
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v27: 27 Taken part in a lawful public demonstration
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 174 6.7%
2 No 2426 93.1%
7 DK 0
8 Refused 5 0.2%
9 Missing or Skip 0
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.
#
v28: 28 Boycotted certain products
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 464 17.8%
2 No 2129 81.7%
7 DK 9 0.3%
8 Refused 3 0.1%
9 Missing or Skip 0
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.
#
v29: 29 Call in political panel shows
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Yes 36 1.4%
2 No 2563 98.4%
7 DK 3 0.1%
8 Refused 3 0.1%
9 Missing or Skip 0
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.
#
v30: The following questions will ask about your confidence in national government ? 30 Do you have confidence in Legislative Yuan?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very confident 41 1.6%
2 Quite confident 541 20.8%
3 Hardly confident 1123 43.1%
4 Not at all 774 29.7%
7 DK 112 4.3%
8 Refused 14 0.5%
9 Missing or Skip 0
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.
File : data2014
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v31: 31 Judicial system or courts?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very confident 61 2.3%
2 Quite confident 679 26.1%
3 Hardly confident 1049 40.3%
4 Not at all 684 26.3%
7 DK 117 4.5%
8 Refused 15 0.6%
9 Missing or Skip 0
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.
#
v32: 32 Other Central Government
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very confident 86 3.3%
2 Quite confident 852 32.7%
3 Hardly confident 1014 38.9%
4 Not at all 525 20.2%
7 DK 107 4.1%
8 Refused 21 0.8%
9 Missing or Skip 0
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.
#
v33: 33 Local Government
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very confident 274 10.5%
2 Quite confident 1257 48.3%
3 Hardly confident 754 28.9%
4 Not at all 228 8.8%
7 DK 80 3.1%
8 Refused 12 0.5%
9 Missing or Skip 0
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.
#
v34: 34 Do you have confidence in the quality and integrity of the media, or not?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very confident 38 1.5%
2 Quite confident 467 17.9%
3 Hardly confident 1160 44.5%
- 26 -
File : data2014
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v34: 34 Do you have confidence in the quality and integrity of the media, or not?
Value Label Cases Percentage
4 Not at all 840 32.2%
7 DK 86 3.3%
8 Refused 14 0.5%
9 Missing or Skip 0
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.
#
v35: 35 Do you have confidence in the social security system of our country?(such as labor insurance, national pension, labor pension funds, etc.)
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very confident 175 6.7%
2 Quite confident 1030 39.5%
3 Hardly confident 904 34.7%
4 Not at all 447 17.2%
7 DK 42 1.6%
8 Refused 7 0.3%
9 Missing or Skip 0
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.
#
v36: 36 Are you satisfied with our democratic life?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very satisfied 436 16.7%
2 Quite satisfied 1560 59.9%
3 Hardly satisfied 408 15.7%
4 Not at all 161 6.2%
7 DK 32 1.2%
8 Refused 8 0.3%
9 Missing or Skip 0
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.
#
v37: 37 Are you satisfied with our freedom of speech?
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Very satisfied 638 24.5%
2 Quite satisfied 1303 50.0%
3 Hardly satisfied 438 16.8%
4 Not at all 181 6.9%
7 DK 34 1.3%
8 Refused 11 0.4%
9 Missing or Skip 0
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.
File : data2014
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v38: 38 The gender of respondent
Information [Type= discrete] [Format=numeric] [Range= 1-9] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Male 1330 51.1%
2 Female 1275 48.9%
9 Missing or Skip 0
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.
#
v39: 39 What is your educational attainment?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Illiterate 49 1.9%
2 Self-educated 12 0.5%
3 Elementary school 209 8.0%
4 Junior high school 262 10.1%
5 Senior high school or vocational school 861 33.1%
6 junior college 377 14.5%
7 University 645 24.8%
8 Master's degree 168 6.4%
9 PhD degree 18 0.7%
10 Other 0
97 DK 0
98 Refused 4 0.2%
99 Missing or Skip 0
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.
#
v40: 40 What is your marital status, never married, married, divorced, separated, widowed or cohabited?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Never Married 555 21.3%
2 Married 1722 66.1%
3 Divorced 132 5.1%
4 Separated 24 0.9%
5 Widowed 135 5.2%
6 Cohabited 21 0.8%
7 Other 1 0.0%
98 Refused 15 0.6%
99 Missing or Skip 0
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.
#
vz0: z0 What city or county is the number from?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
- 28 -
File : data2014
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vz0: z0 What city or county is the number from?
Value Label Cases Percentage
1 Taipei City(jump to z1 189 7.3%
2 New Taipei City(jump to z2 500 19.2%
3 Keelung City(jump to z3 29 1.1%
4 Taoyuan County(jump to z4 269 10.3%
5 Hsinchu County(jump to z5 63 2.4%
6 Hsinchu City(jump to z6 34 1.3%
7 Miaoli County(jump to z7 64 2.5%
8 Taichung City(jump to z8 279 10.7%
9 Changhua County(jump to z9 163 6.3%
10 Nantou County(jump to z10 67 2.6%
11 Yunlin County(Jump to z11 93 3.6%
12 Chiayi County(jump to z12 50 1.9%
13 Chiayi City(jump to z13 40 1.5%
14 Tainan County(jump to z14 249 9.6%
15 Kaohsiung City(jump to z15 280 10.7%
16 Pingtung County(jump to z16 92 3.5%
17 Yilan County(jump to z17 53 2.0%
18 Hualien County(jump to z18 44 1.7%
19 Taitung County(jump to z19 14 0.5%
20 Penghu County(jump to z20 8 0.3%
21 Kinmen County(jump to z21 13 0.5%
22 Lienchiang County(jump to z22 0
97 DK 2 0.1%
98 Refused 10 0.4%
99 Missing or Skip 0
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.
#
vz1: z1 What district is it in Taipei City?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Jhongjheng District 2 0.1%
2 Datong District 5 0.2%
3 Jhongshan District 11 0.4%
4 Songshan District 17 0.7%
5 Daan District 24 0.9%
6 Wanhua District 13 0.5%
7 Sinyi District 14 0.5%
8 Shihlin District 20 0.8%
9 Beitou District 19 0.7%
10 Neihu District 25 1.0%
11 Nangang District 8 0.3%
12 Wunshan District 28 1.1%
File : data2014
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vz1: z1 What district is it in Taipei City?
Value Label Cases Percentage
13 Others 0
97 DK 1 0.0%
98 Refused 2 0.1%
99 Missing or Skip 2416 92.7%
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.
#
vz2: z2 What district is it in New Taipei City?
Information [Type= continuous] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Wanli Township 1 0.0%
2 Jinshan Township 1 0.0%
3 Banciao City 53 2.0%
4 Sijhih City 31 1.2%
5 Shenkeng Township 4 0.2%
6 Shihding Township 0
7 Rueifang Township 3 0.1%
8 Pingsi Township 0
9 Shuangsi Township 0
10 Gongliao Township 3 0.1%
11 Sindian City 49 1.9%
12 Pinglin Township 1 0.0%
13 Wulai Township 1 0.0%
14 Yonghe City 26 1.0%
15 Jhonghe City 62 2.4%
16 Tucheng City 28 1.1%
17 Sansia Township 9 0.3%
18 Shulin City 17 0.7%
19 Yingge Township 7 0.3%
20 Sanchong City 40 1.5%
21 Sinjhuang City 57 2.2%
22 Taishan Township 8 0.3%
23 Linkou Township 13 0.5%
24 Lujhou City 31 1.2%
25 Wugu Township 13 0.5%
26 Bali Township 8 0.3%
27 Danshuei Township 27 1.0%
28 Sanjhih Township 5 0.2%
29 Shihmen Township 0
30 Others 0
97 DK 0
98 Refused 2 0.1%
99 Missing or Skip 2105 80.8%
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.
- 30 -
File : data2014
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vz3: z3 What district is it in Keelung City?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Renai District 1 0.0%
2 Sinyi District 2 0.1%
3 Jhongjheng District 5 0.2%
4 Jhongshan District 3 0.1%
5 Anle District 9 0.3%
6 Nuannuan District 2 0.1%
7 Cidu District 7 0.3%
8 Others 0
97 DK 0
98 Refused 0
99 Missing or Skip 2576 98.9%
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.
#
vz4: z4 What district is it in Taoyuan County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Jhongli City 54 2.1%
2 Pingjhen City 28 1.1%
3 Longtan Township 14 0.5%
4 Yangmei City 18 0.7%
5 Sinwu Township 5 0.2%
6 Guanyin Township 8 0.3%
7 Taoyuan City 61 2.3%
8 Gueishan Township 13 0.5%
9 Bade City 26 1.0%
10 Dasi Township 12 0.5%
11 Fusing Township 0
12 Dayuan Township 7 0.3%
13 Lujhu Township 21 0.8%
14 Others 0
97 DK 1 0.0%
98 Refused 1 0.0%
99 Missing or Skip 2336 89.7%
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.
#
vz5: z5 What district is it in Hsinchu County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Jhubei City 22 0.8%
File : data2014
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vz5: z5 What district is it in Hsinchu County?
Value Label Cases Percentage
2 Hukou Township 13 0.5%
3 Sinfong Township 7 0.3%
4 Sinpu Township 4 0.2%
5 Guansi Township 2 0.1%
6 Cyonglin Township 2 0.1%
7 Baoshan Township 3 0.1%
8 Jhudong Township 8 0.3%
9 Wufong Township 0
10 Hengshan Township 0
11 Jianshih Township 1 0.0%
12 Beipu Township 1 0.0%
13 Emei Township 0
14 Others 0
97 DK 0
98 Refused 0
99 Missing or Skip 2542 97.6%
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.
#
vz6: z6 What district is it in Hsinchu City?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 East District 16 0.6%
2 North District 10 0.4%
3 Xiangshan District 7 0.3%
4 Others 0
97 DK 1 0.0%
98 Refused 0
99 Missing or Skip 2571 98.7%
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.
#
vz7: z7 What district is it in Miaoli County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Jhunan Township 6 0.2%
2 Toufen Township 17 0.7%
3 Sanwan Township 2 0.1%
4 Nanjhuang Township 2 0.1%
5 Shihtan Township 0
6 Houlong Township 0
7 Tongsiao Township 4 0.2%
8 Yuanli Township 5 0.2%
9 Miaoli City 12 0.5%
- 32 -
File : data2014
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vz7: z7 What district is it in Miaoli County?
Value Label Cases Percentage
10 Zaociao Township 0
11 Touwu Township 1 0.0%
12 Gongguan Township 5 0.2%
13 Dahu Township 1 0.0%
14 Taian Township 0
15 Tongluo Township 3 0.1%
16 Sanyi Township 1 0.0%
17 Sihu Township 0
18 Jhuolan Township 3 0.1%
19 Others 0
97 DK 0
98 Refused 2 0.1%
99 Missing or Skip 2541 97.5%
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.
#
vz8: z8 What district is it in Taichung City?
Information [Type= continuous] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Taiping District 13 0.5%
2 Dali District 21 0.8%
3 Wufong District 8 0.3%
4 Wurih District 8 0.3%
5 Fongyuan District 21 0.8%
6 Houli District 3 0.1%
7 Shihgang District 1 0.0%
8 Dongshih District 4 0.2%
9 Heping District 1 0.0%
10 Sinshe District 3 0.1%
11 Tanzih District 9 0.3%
12 Daya District 18 0.7%
13 Shengang District 5 0.2%
14 Dadu District 5 0.2%
15 Shalu District 5 0.2%
16 Longjing District 4 0.2%
17 Wuci District 13 0.5%
18 Cingshuei District 6 0.2%
19 Dajia District 11 0.4%
20 Waipu District 3 0.1%
21 Daan District 0
22 Central District 0
23 East District 5 0.2%
24 West District 8 0.3%
25 North District 17 0.7%
File : data2014
#
vz8: z8 What district is it in Taichung City?
Value Label Cases Percentage
26 South District 21 0.8%
27 Beitun District 27 1.0%
28 Situn District 24 0.9%
29 Nantun District 13 0.5%
30 Others 0
97 DK 1 0.0%
98 Refused 1 0.0%
99 Missing or Skip 2326 89.3%
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.
- 34 -
#
vz9: z9 What district is it in Changhua County?
Information [Type= continuous] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Changhua City 34 1.3%
2 Fenyuan Township 1 0.0%
3 Huatan Township 7 0.3%
4 Sioushuei Township 4 0.2%
5 Lugang Township 8 0.3%
6 Fusing Township 4 0.2%
7 Siansi Township 3 0.1%
8 Hemei Township 13 0.5%
9 Shengang Township 3 0.1%
10 Yuanlin Township 16 0.6%
11 Shetou Township 5 0.2%
12 Yongjing Township 8 0.3%
13 Pusin Township 7 0.3%
14 Sihu Township 9 0.3%
15 Dacun Township 4 0.2%
16 Puyan Township 4 0.2%
17 Tianjhong Township 5 0.2%
18 Beidou Township 6 0.2%
19 Tianwei Township 4 0.2%
20 Bitou Township 4 0.2%
21 Sijhou Township 4 0.2%
22 Jhutang Township 1 0.0%
23 Erlin Township 2 0.1%
24 Dacheng Township 1 0.0%
25 Fangyuan Township 3 0.1%
26 Ershuei Township 1 0.0%
27 Others 0
97 DK 0
98 Refused 2 0.1%
99 Missing or Skip 2442 93.7%
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.
#
vz10: z10 What district is it in Nantou County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Nantou City 17 0.7%
2 Puli Township 10 0.4%
3 Caotun Township 11 0.4%
4 Jhushan Township 9 0.3%
5 Jiji Township 4 0.2%
6 Mingjian Township 7 0.3%
7 Lugu Township 2 0.1%
#
vz10: z10 What district is it in Nantou County?
Value Label Cases Percentage
8 Zhongliao Township 2 0.1%
9 Yuchih Township 1 0.0%
10 Guosing Township 1 0.0%
11 Shueili Township 2 0.1%
12 Sinyi Township 0
13 Renai Township 1 0.0%
14 Others 0
97 DK 0
98 Refused 0
99 Missing or Skip 2538 97.4%
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.
#
vz11: z11 What district is it in Yunlin County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Douliou City 22 0.8%
2 Dounan Township 1 0.0%
3 Huwei Township 10 0.4%
4 Siluo Township 6 0.2%
5 Tuku Township 5 0.2%
6 Beigang Township 5 0.2%
7 Gukeng Township 8 0.3%
8 Dabi Township 2 0.1%
9 Cihtong Township 3 0.1%
10 Linnei Township 3 0.1%
11 Erlun Township 6 0.2%
12 Lunbei Township 2 0.1%
13 Mailiao Township 4 0.2%
14 Dongshih Township 2 0.1%
15 Baojhong Township 1 0.0%
16 Taisi Township 2 0.1%
17 Yuanchang Township 5 0.2%
18 Sihhu Township 1 0.0%
19 Kouhu Township 5 0.2%
20 Shueilin Township 0
21 Others 0
97 DK 0
98 Refused 0
99 Missing or Skip 2512 96.4%
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.
#
vz12: z12 What district is it in Chiayi County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
- 36 -
#
vz12: z12 What district is it in Chiayi County?
Value Label Cases Percentage
1 Fanlu Township 2 0.1%
2 Meishan Township 1 0.0%
3 Jhuci Township 1 0.0%
4 Alishan Township 0
5 Jhongpu Township 5 0.2%
6 Dapu Township 0
7 Shueishang Township 7 0.3%
8 Lucao Township 2 0.1%
9 Taibao City 3 0.1%
10 Puzih City 4 0.2%
11 Dongshih Township 0
12 Lioujiao Township 1 0.0%
13 Singang Township 3 0.1%
14 Minsyong Township 11 0.4%
15 Dalin Township 5 0.2%
16 Sikou Township 3 0.1%
17 Yijhu Township 2 0.1%
18 Budai Township 0
19 Others 0
97 DK 0
98 Refused 0
99 Missing or Skip 2555 98.1%
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.
#
vz13: z13 What district is it in Chiayi City?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 East District 18 0.7%
2 West District 20 0.8%
3 Others 0
97 DK 0
98 Refused 2 0.1%
99 Missing or Skip 2565 98.5%
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.
#
vz14: z14 What district is it in Tainan County?
Information [Type= continuous] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Sinhua District 4 0.2%
2 Yongkang District 42 1.6%
3 Gueiren District 8 0.3%
4 Zuojhen District 0
5 Yujing District 0
#
vz14: z14 What district is it in Tainan County?
Value Label Cases Percentage
6 Nansi District 1 0.0%
7 Nanhua District 1 0.0%
8 Rende District 10 0.4%
9 Guanmiao District 6 0.2%
10 Longci District 1 0.0%
11 Guantian District 2 0.1%
12 Madou District 5 0.2%
13 Jiali District 8 0.3%
14 Sigang District 4 0.2%
15 Cigu District 2 0.1%
16 Jiangjyun District 3 0.1%
17 Syuejia District 3 0.1%
18 Beimen District 2 0.1%
19 Sinying District 10 0.4%
20 Houbi District 1 0.0%
21 Baihe District 3 0.1%
22 Dongshan District 2 0.1%
23 Lioujia District 3 0.1%
24 Siaying District 0
25 Liouying District 2 0.1%
26 Yanshuei District 2 0.1%
27 Shanhua District 9 0.3%
28 Danei District 0
29 Shanshang District 0
30 Sinshih District 6 0.2%
31 Anding District 3 0.1%
32 Central andf West District 8 0.3%
33 East District 30 1.2%
34 North District 16 0.6%
35 South District 19 0.7%
36 Anping District 9 0.3%
37 Annan District 23 0.9%
38 Others 0
97 DK 0
98 Refused 1 0.0%
99 Missing or Skip 2356 90.4%
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.
#
vz15: z15 What district is it in Kaohsiung City?
Information [Type= continuous] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Jiasian District 0
2 Renwu District 8 0.3%
3 Dashe District 6 0.2%
- 38 -
#
vz15: z15 What district is it in Kaohsiung City?
Value Label Cases Percentage
4 Gangshan District 13 0.5%
5 Lujhu District 6 0.2%
6 Alian District 5 0.2%
7 Tianliao District 0
8 Yanchao District 1 0.0%
9 Ciaotou District 5 0.2%
10 Zihguan District 2 0.1%
11 Mituo District 0
12 Yongan District 1 0.0%
13 Hunei District 1 0.0%
14 Fongshan District 34 1.3%
15 Daliao District 9 0.3%
16 Linyuan District 4 0.2%
17 Niaosong District 5 0.2%
18 Dashu District 1 0.0%
19 Cishan District 2 0.1%
20 Meinong District 2 0.1%
21 Liouguei District 0
22 Neimen District 0
23 Shanlin District 0
24 Taoyuan District 0
25 Namasia District 0
26 Maolin District 0
27 Jiading District 0
28 Sinsing District 1 0.0%
29 Cianjin District 2 0.1%
30 Lingya District 28 1.1%
31 Yancheng District 4 0.2%
32 Gushan District 18 0.7%
33 Cijin District 1 0.0%
34 Cianjhen District 19 0.7%
35 Sanmin District 38 1.5%
36 Nanzih District 18 0.7%
37 Siaogang District 12 0.5%
38 Zuoying District 30 1.2%
39 Others 0
97 DK 1 0.0%
98 Refused 3 0.1%
99 Missing or Skip 2325 89.3%
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.
#
vz16: z16 What district is it in Pingtung County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
#
vz16: z16 What district is it in Pingtung County?
Value Label Cases Percentage
1 Donggang Township 4 0.2%
2 Pingtung City 36 1.4%
3 Sandimen Township 0
4 Wutai Township 0
5 Majia Township 0
6 Jiouru Township 2 0.1%
7 Ligang Township 2 0.1%
8 Gaoshu Township 0
9 Yanpu Township 0
10 Changjhih Township 5 0.2%
11 Linluo Township 2 0.1%
12 Jhutian Township 1 0.0%
13 Neipu Township 10 0.4%
14 Wandan Township 7 0.3%
15 Chaojhou Township 5 0.2%
16 Taiwu Township 0
17 Laiyi Township 0
18 Wanluan Township 1 0.0%
19 Kanding Township 0
20 Sinbi Township 1 0.0%
21 Nanjhou Township 1 0.0%
22 Linbian Township 2 0.1%
23 Liouciou Township 0
24 Jiadong Township 3 0.1%
25 Sinyuan Township 5 0.2%
26 Fangliao Township 1 0.0%
27 Fangshan Township 0
28 Chunrih Township 0
29 Shihzih Township 1 0.0%
30 Checheng Township 0
31 Mudan Township 0
32 Hengchun Township 3 0.1%
33 Manjhou Township 0
34 Others 0
97 DK 0
98 Refused 0
99 Missing or Skip 2513 96.5%
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.
#
vz17: z17 What district is it in Yilan County?
Information [Type= discrete] [Format=numeric] [Range= 1-99] [Missing=*]
Statistics [NW/ W] [Valid=2605 /-] [Invalid=0 /-]
Value Label Cases Percentage
1 Datong Township 0
2 Yilan City 14 0.5%