THE TIME USE SURVEY in Thailand By National Statistical Office

Workshop on time-use data analysis
11-15 October 2014
THE TIME USE SURVEY in Thailand
By
National Statistical Office
“Time Use Survey data analysis workshop”
11-15 October 2014
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Historical development
of Time Use Survey in Thailand
2001
‐ All day activities
‐ Main Activities (2 digits)
‐ Represent (Whole Kingdom, Region)
2004
‐ All day activities
‐ Prepare time every 10 minutes
‐Main and Second activities
(3 digits)
‐ Represent (Whole Kingdom, Region)
2009
‐ All day activities
‐ Prepare time every 10 minutes
‐Main and second activities
(5 digits)
‐ Represent (Whole kingdom, Region)
2014 TUS have been conducted
(on field work stage)
International classification of activities for Time-Use Statistics (ICATUS)
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Workshop on time-use data analysis
11-15 October 2014
The Time Use Survey
1. August 2001
2. August 2004
3. June-August 2009
(3 months data collection)
4. July 2014-June 2015
(12 months data collection)
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Objective
1. To study pattern of time use in people’s diary life
2. To determine whether difference in time use
between difference population groups
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Workshop on time-use data analysis
11-15 October 2014
Sample Designs In Thailand Sample designs in Thailand • Local Administration in Thailand is divided into;
• Bangkok Metropolis
North
• Other 76 provinces
Northeast
• Group of provinces constituted regions. There are altogether Central
1 BKK and 4 regions.
South
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Workshop on time-use data analysis
11-15 October 2014
1. Sample designs in Thailand Within each province, there are two types of administrative unit.
• Municipal areas
• Non‐municipal areas
1. Sample designs in Thailand Province 1
01
02
x
04
05
06
03
07
08
09
10
11
12
District 03
01
02
03
04
05
06
07
08
09
x
Municipal area
NonMunicipal area
Sub-district 07
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Workshop on time-use data analysis
11-15 October 2014
1. Sample designs in Thailand Sub-district 07
EA
003
EA 001
EA 004
EA 006
Municipal
area
EA 002
Village
01
EA 001
Village
03
EA 007
EA 008
Village
10
Village
02
EA 005
EA 002
Village
04
EA 006
Village
11
Village
13
EA 007
Village
05 EA 003
Village
09
EA 005
Village
08 EA 010
Village
12
Village
06
EA 004
Village
07
EA 011
EA 012
Non-municipal
area
EA 009
Sampling and Survey Design of Time Use Survey 5
Workshop on time-use data analysis
11-15 October 2014
Coverage
People live in private family who are over 10 years old
(in 2001 2004 2009)
People live in private family who are over 6 years old
(in 2014)
Sample private families which are listed in Lfs.
Not include foreign families which have diplomatic privilege
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Level
WholeKingdom
Region
Area
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Workshop on time-use data analysis
11-15 October 2014
METHODOLOGY
Stratified Three-Stage Sampling
(in 2009 2014)
Stratified Two-Stage Sampling
(in 2001 2004)
Sampling Plan
Stratified Three-stage Sampling
“Stratification”

There are 77 Strata (Bangkok and 76 Provinces)
 Each stratum was divided into 2 parts according to
“type of local administration”
- Municipal areas
- Non-municipal areas
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Workshop on time-use data analysis
11-15 October 2014
Sampling Plan
“Selection of primary sampling unit”
(PPS sampling : measure of size : total number of
households in each EA)
• 5,796 from 109,966 EAs (2009)
• 8,955 from 127,460 EAs (2014)
- LFS2014 : 5,970 Eas
- LFS2015 : 5,970 Eas (50% of LFS2014 = 2,985 EAs)
Sampling Plan
“Selection of secondary sampling unit”
(Systematic sampling : sorted by household’s size)
2009
- Municipal areas : 15 sample households per EA
- Non-municipal areas : 12 sample households per EA
2014
- Municipal areas : 4 sample households per EA
- Non-municipal areas : 3 sample households per EA
Sample private households for enumeration
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79,560 HHs (2009) and 83,880 HHs (2014)
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Workshop on time-use data analysis
11-15 October 2014
Sampling Plan
“Selection of tertiary sampling unit”
(Simple Random Sampling)
1 eligible per household
(aged 6 years and over in 2014)
(aged 10 years and over in 2001
2004 2009)
Method
Combination of direct interview and self-completed
questionnaire
Time Sample
All days of the week covered by assigning one day to
each respondent.
- The enumerator will try to distribute reference
days so that each day of the weeks is uniformly
allocated to total number of respondents
- However 2014 TUS, Day was specified by sample
planning stage which distribute to respondents
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Workshop on time-use data analysis
11-15 October 2014
ITEM
1. Basic Characteristic of Population by sex
age education marital status and religion
2. Amount of time persons aged 10 years and
over spend in 24 hours
3. Wages evaluation for doing house work
4. Opinion about time using in different age
Do the activity; when, what purpose,where
and whom from wake up until sleep
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Questionnaire
Cover : Individual
Part 1 : Time used in activities in a day
Part 2 :
Wage evaluation for house workers
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Workshop on time-use data analysis
11-15 October 2014
Cover : Individual
- Relationship to household head
- Sex, Age
- Education
- Marital status
- Religion
Cover : Individual
(contd.)
- Occupation
- Industry
- Work status
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Workshop on time-use data analysis
11-15 October 2014
Part 1 :
Time used in activities in a day
- What was your Main Activity?”
- What was your Secondary Activity?”
- What you do created income or not?”
- What did you do it for?”
- Where did you do this?”
- You did it with whom”
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Part 2 :
Wage evaluation for house workers
- How much wages do you want to pay hire
someone to do your housework?
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Workshop on time-use data analysis
11-15 October 2014
Part 3 : Opinion
Opinion about time using of population (children youth
adult elderly) at the present compare with the previous
year.
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International Classification of Activities
to Time-Use Statistics (ICATUS)
• Time-Use Survey 2001
(10 Type)
• Time-Use Survey 2004 2009 2014
(15 Type)
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Workshop on time-use data analysis
11-15 October 2014
Definition
Activities :
Activities that the person spends time to do
without concerning about benefits Divide in 2
categories
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Definition
Contd.
5.1 Main Activity :
Activity that the people who answer the
questionnaire is most concerned or want to
do the most
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Workshop on time-use data analysis
11-15 October 2014
Definition
Contd.
5.2 Secondary Activity :
Activity which is done at the same time with
core activity, and the people who answer the
questionnaire want to do it as a secondary
activity and gives it a lower priorty
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Activities :
1. Format sector work
2. Work for household in primary
production
3. Work for household in non-primary
production
4. Work for household in construction
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Workshop on time-use data analysis
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Activities : (Contd.)
5. Work for household providing
services for income
6. Providing unpaid domestic services
for own final use within household
7. Providing unpaid care-giving services
to household members
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Activities : (Contd.)
8. Providing community services
and help to other households
9. Learning
10. Socializing and community participation
11. Attending/visiting cultural,
entertainment and sports events/venues
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Workshop on time-use data analysis
11-15 October 2014
Activities : (Contd.)
12. Hobbies, games and other pastime
13. Indoor and outdoor sports participation
and related courses
14. Mass media
15. Personal care and maintenance
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Data Quality 17
Workshop on time-use data analysis
11-15 October 2014
Data Collection Stage
Survey Training
Project staff
Supervisor
Enumerator
Field work
Inspector
Questionnaire
Manual check, coding
Data entry
Data file
Machine edit
Structural Check
Weight
Range and
Consistency Check
Tabulation
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Workshop on time-use data analysis
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Tabulation
Data Analysis
Report writing
Publications
Data Dissemination
Statistical Analysis
• Average time of aged 10 years and over per population by
major characteristics
• Average time aged 10 years and over per 10 years
population who did those activities by major
characteristics
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Workshop on time-use data analysis
11-15 October 2014
• Making a regional report
• Report :
- Inception Report
- Final Report
• Average time of time use in activities within
1 day (24 hour), in the unit of hour
• Articles, conclusions, table, graphs
• Data WareHouse
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Workshop on time-use data analysis
11-15 October 2014
Usage of TUS Data USER
NESDB
Office of Woman’s Affair and
Family Development
Public / Private Sector
University
Researcher
Student Finding 42
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Workshop on time-use data analysis
11-15 October 2014
Average time of respondents aged 10 yrs and over by activities group
(hours per day)
Non‐economic activities
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Share of non‐economic activities between 2001 and 2004
% Population by sex Group 1: Household maintenance, management and shopping for own household
Group 2: Care for children, the sick, elderly and disabled for own household
2001 2004
Group 3: Community services and help to other household
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Workshop on time-use data analysis
11-15 October 2014
Average time use for non-economics by sex
and activities
(hours per day)
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Group1: Household maintenance, management and shopping for own household
% Population by sex among different activities 2001 2004
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Workshop on time-use data analysis
11-15 October 2014
Group2: Care for children, the sick, elderly and disabled for own household
% Population by sex among different activities
2001 2004
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Group3: Community services and
help to other household
% Population by sex among different activities
2001 2004
48
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Workshop on time-use data analysis
11-15 October 2014
Conclusions and policy recommendations
 Women participated in non‐economic activities more than men, especially household services and care for household members.
 To reduce gender inequity, both economic and non‐
economic activities should be equally addressed.  Non‐economic activities, should be included in the GDP estimation.  Need campaign to change social attitude, especially men, on sharing responsibility in non‐economic activities. 49
www.nso.go.th
osthailand.nic.go.th
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