Time Use Survey 2017
Sri Lanka, 2017
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Reference ID
LKA-DCS-TUS-2017-V01
Producer(s)
Department of Census & Statistics
Metadata
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Mar 09, 2023
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Identification
Survey ID Number
LKA-DCS-TUS-2017-V01
Title
Time Use Survey 2017
Country
| Name | Country code |
|---|---|
| Sri Lanka | LKA |
Study type
Other Household Survey [hh/oth]
Abstract
Time Use Surveys (TUS) are household-based surveys that measure and analyze time spent by women and men, girls and boys on different activities over a specified period. Unlike data from other surveys, time use results can be specific and comprehensive in revealing the details of a person's daily life. The results of the Time Use Survey enable one to identify what activities are performed, how they are performed and how long it takes to perform such activities.
The Department of Census and Statistics (DCS) conducted the first Sri Lanka national survey on time use statistics in 2017. The primary objective of TUS is to measure the participation of men and women in paid and unpaid activities. Moreover, this report contains information on the time spent on unpaid care giving activities, voluntary work, and domestic service of the household members. This also provides information on time spent on learning, socializing, leisure activities and self-care activities of 10 years and above aged Sri Lankans.
In this report, statistics were estimated under following three indicators.
1. Participation rate
2. The mean actor time spent on different activities
3. The mean population time spent on different activities
The TUS was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017. It was non-independent survey but administered an independent diary and a household module with fourth quarter LFS, 2017. All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). The TUS sample covered the household population aged 10 years and above - thus representing an estimated 17.87 million people.
Classification of activities
Reported activities were coded according to the International Classification of Activities for Time Use Statistics (ICATUS 2016). The ICATUS 2016 has nine broad categories, which aggregate into even broader categories. The categories are consistent with the System of National Accounts (SNA) which underlies the calculation of gross domestic product (GDP). The categories are as follows:
1. Employment and related activities
2. Production of goods for own final use
3. Unpaid domestic services for household and family members
4. Unpaid caregiving services for household and family members
5. Unpaid volunteer, trainee and other unpaid work
6. Learning
7.Socializing and communication, community participation and religious practice
8. Culture, leisure, mass-media and sports practices
9. Self-care and maintenance
Activity category number 1 and 2 falls in to SNA production boundary. Therefore, most part be 'counted' in national accounts and the GDP. Activity categories 3 to 5, which cover unpaid household work and unpaid assistance to other households, fall outside the SNA production boundary, although they are recognized as 'productive'. They correspond to what is commonly referred to as unpaid care work. The remaining four activity categories cannot be performed for a person by someone else; people cannot hire someone else to sleep, learn, or eat for them. Hence, they do not qualify as' work 'or' production' in terms of the third-person 'rule'.
The Department of Census and Statistics (DCS) conducted the first Sri Lanka national survey on time use statistics in 2017. The primary objective of TUS is to measure the participation of men and women in paid and unpaid activities. Moreover, this report contains information on the time spent on unpaid care giving activities, voluntary work, and domestic service of the household members. This also provides information on time spent on learning, socializing, leisure activities and self-care activities of 10 years and above aged Sri Lankans.
In this report, statistics were estimated under following three indicators.
1. Participation rate
2. The mean actor time spent on different activities
3. The mean population time spent on different activities
The TUS was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017. It was non-independent survey but administered an independent diary and a household module with fourth quarter LFS, 2017. All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). The TUS sample covered the household population aged 10 years and above - thus representing an estimated 17.87 million people.
Classification of activities
Reported activities were coded according to the International Classification of Activities for Time Use Statistics (ICATUS 2016). The ICATUS 2016 has nine broad categories, which aggregate into even broader categories. The categories are consistent with the System of National Accounts (SNA) which underlies the calculation of gross domestic product (GDP). The categories are as follows:
1. Employment and related activities
2. Production of goods for own final use
3. Unpaid domestic services for household and family members
4. Unpaid caregiving services for household and family members
5. Unpaid volunteer, trainee and other unpaid work
6. Learning
7.Socializing and communication, community participation and religious practice
8. Culture, leisure, mass-media and sports practices
9. Self-care and maintenance
Activity category number 1 and 2 falls in to SNA production boundary. Therefore, most part be 'counted' in national accounts and the GDP. Activity categories 3 to 5, which cover unpaid household work and unpaid assistance to other households, fall outside the SNA production boundary, although they are recognized as 'productive'. They correspond to what is commonly referred to as unpaid care work. The remaining four activity categories cannot be performed for a person by someone else; people cannot hire someone else to sleep, learn, or eat for them. Hence, they do not qualify as' work 'or' production' in terms of the third-person 'rule'.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individual,Household
Version
Version Description
V01
Coverage
Geographic Coverage
The survey collects data from a quarterly sample of 6,440 housing units covering the whole country, also this sample enough to provides national estimates on Time use statistics. It covers persons living in housing units and excludes the institutional population.
Universe
All household members who were age 10 years and above
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Department of Census & Statistics | Ministry of Finance,Economy and Policy devbelopment |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Department of Census & Statistics | Ministry of Finance,Economy and Policy Development | Data Collection,analysing and publishing |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Government of Sri Lanka | GOSL |
Sampling
Sampling Procedure
The sampling frame prepared for 2012 Census of Population and Housing (CPH) is used as sample frame for the sample selection of LFS in 2017. Two stage stratified sampling procedure is adopted to Sri Lanka Time Use Survey Final Report - 2017
1.5 Field Work
Select the annual LFS sample of 25,750 housing units. 2,575 Primary Sampling Units (PSU?s) were allocated to each district and to each sector (Urban, Rural and Estate) and equally distributed for 12 months.
Housing units are the Secondary Sample Units (SSU). From each selected PSU, 10 housing units (SSU) are selected for the survey using systematic random sampling method.
Since, the Time Use survey was planned to disseminate statistics at national level, a quarterly sample of 6,440 housing units of the LFS 4th quarter 2017 sample was selected for the TUS. Also, selected housing units of a PSU were evenly allocated to cover all 7 days of a week including weekends.
Sample allocation by sector for TUS - 2017
Number of housing units
Sri Lanka 6,440
Urban 1,000
Rural 5,140
Estate 300
1.5 Field Work
Select the annual LFS sample of 25,750 housing units. 2,575 Primary Sampling Units (PSU?s) were allocated to each district and to each sector (Urban, Rural and Estate) and equally distributed for 12 months.
Housing units are the Secondary Sample Units (SSU). From each selected PSU, 10 housing units (SSU) are selected for the survey using systematic random sampling method.
Since, the Time Use survey was planned to disseminate statistics at national level, a quarterly sample of 6,440 housing units of the LFS 4th quarter 2017 sample was selected for the TUS. Also, selected housing units of a PSU were evenly allocated to cover all 7 days of a week including weekends.
Sample allocation by sector for TUS - 2017
Number of housing units
Sri Lanka 6,440
Urban 1,000
Rural 5,140
Estate 300
Response Rate
Please refer page number 11 and 12 of annual report for Response rates.
Weighting
Please refer page numbers 101-102 of annual report for weighting procedure.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017-10-01 | 2017-12-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
A Deputy Director/Senior Statistician/Statistician attached to each district secretariat was responsible for coordination and supervision activities. Sample surveys division of DCS was responsible for implementation of the survey.
Data Collection Notes
The field work of the survey for the 4th quarter 2017 was conducted from October to December. The "survey week" was the fourth week of each month, Monday through Sunday. The field staff of the DCS involved in survey data collection activities. These officers were trained before they were entrusted with the survey operations. Also, they were instructed and provided a work chart to manage the sample to cover the 7 days of a week including weekends.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Department of Census and Statistics | DCS | Ministry of Finance,Economy and Policy Development |
Questionnaires
Questionnaires
The Survey was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017.
It was non-independent survey but consists with other two data collection instruments in PAPI method:
a) A household questionnaire
b) A time diary
with fourth quarter LFS 2017 questionnaire in CAPI method.
The household questionnaire was designed only for obtain information on the characteristics of the household. Because the LFS questionnaire collects background information about the demographic and socio-economic characteristics of the respondent, such as their labour force status.
All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). It captures information on spending the time for main activity, simultaneous activity, where the activity takes place and with whom the activity takes place.
It was non-independent survey but consists with other two data collection instruments in PAPI method:
a) A household questionnaire
b) A time diary
with fourth quarter LFS 2017 questionnaire in CAPI method.
The household questionnaire was designed only for obtain information on the characteristics of the household. Because the LFS questionnaire collects background information about the demographic and socio-economic characteristics of the respondent, such as their labour force status.
All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). It captures information on spending the time for main activity, simultaneous activity, where the activity takes place and with whom the activity takes place.
Data Processing
Data Editing
The International Classification of Activities for Time Use Statistics (ICATUS 2016) has been developed based on internationally agreed concepts, definitions and principles in order to improve the consistency and international comparability of time use and other social and economic statistics. Reliable time use statistics have been critical for
(a) the measurement and analysis of quality of life or general well-being; (b) a more comprehensive measurement of all forms of work, including unpaid work and non-market production and the development of household production accounts; and (c) producing data for gender analysis for public policies. Hence, the importance of ICATUS link and consistency with the System of National Accounts (SNA) and the International Conference of Labour Statisticians (ICLS) definition and framework for statistics of work. Additionally, ICATUS will serve as an important input for monitoring progress made towards the achievement of the Sustainable Development Goals (SDGs).
ICATUS 2016 is a three-level hierarchical classification (composed of major divisions, divisions, and groups) of all possible activities undertaken by the general population during the 24 hours in a day.
1) The first level, one-digit code or "major division" represents the least detailed level or the broadest group of activities.
2) The second level, two-digit code or "division" represents more detailed activities than the preceding one
3) The third level, three-digit code or "group" is considered the most detailed level of the classification detailing specific activities.
The purpose of the classification is to provide a framework that can be used to produce meaningful and comparable statistics on time use across countries and over time.
An important aspect of the UN classification system is the fact that it matches the System of National Accounts (SNA), which forms the basis internationally for calculating gross domestic product (GDP). The classification is organized according to nine broad activity categories. These categories can be distinguished by the first digit of the three-digit activity code
The nine broad categories are as follows:
SNA Production Activities
1. Employment and related activities
2. Production of goods for own final use
Non -SNA Production Activities
3. Unpaid domestic services for household and family members
4. Unpaid caregiving services for household and family members
5. Unpaid volunteer, trainee and other unpaid work
Non-Productive Activities
6. Learning
7. Socializing and communication, community participation and religious practice
8. Culture, leisure, mass-media and sports practices
9. Self-care and maintenance
Activity categories 1-2, which are the two 'work' divisions referred to above, fall in the SNA production boundary. They would thus be 'counted' in national accounts and the GDP. The only exceptions are the codes for looking for work, and time spent on travelling related to SNA-type activity.
Activity categories 3-5, which cover unpaid household work and care work for household and family members and assistance to other households, fall outside the SNA general production boundary, although they are recognized as 'productive'. In this report they are referred to as non-SNA production Activities. The remaining activity categories are not covered by the SNA. These activities cannot be performed for a person by someone else - people cannot hire someone else to sleep, learn, or eat for them. They thus do not qualify as'work 'or 'production' terms of the „third-person rule. In this report they are referred to as non-productive activities.
Many of the tables in the report are organized according to either the nine categories, or the three SNA-related groupings of these categories.
(a) the measurement and analysis of quality of life or general well-being; (b) a more comprehensive measurement of all forms of work, including unpaid work and non-market production and the development of household production accounts; and (c) producing data for gender analysis for public policies. Hence, the importance of ICATUS link and consistency with the System of National Accounts (SNA) and the International Conference of Labour Statisticians (ICLS) definition and framework for statistics of work. Additionally, ICATUS will serve as an important input for monitoring progress made towards the achievement of the Sustainable Development Goals (SDGs).
ICATUS 2016 is a three-level hierarchical classification (composed of major divisions, divisions, and groups) of all possible activities undertaken by the general population during the 24 hours in a day.
1) The first level, one-digit code or "major division" represents the least detailed level or the broadest group of activities.
2) The second level, two-digit code or "division" represents more detailed activities than the preceding one
3) The third level, three-digit code or "group" is considered the most detailed level of the classification detailing specific activities.
The purpose of the classification is to provide a framework that can be used to produce meaningful and comparable statistics on time use across countries and over time.
An important aspect of the UN classification system is the fact that it matches the System of National Accounts (SNA), which forms the basis internationally for calculating gross domestic product (GDP). The classification is organized according to nine broad activity categories. These categories can be distinguished by the first digit of the three-digit activity code
The nine broad categories are as follows:
SNA Production Activities
1. Employment and related activities
2. Production of goods for own final use
Non -SNA Production Activities
3. Unpaid domestic services for household and family members
4. Unpaid caregiving services for household and family members
5. Unpaid volunteer, trainee and other unpaid work
Non-Productive Activities
6. Learning
7. Socializing and communication, community participation and religious practice
8. Culture, leisure, mass-media and sports practices
9. Self-care and maintenance
Activity categories 1-2, which are the two 'work' divisions referred to above, fall in the SNA production boundary. They would thus be 'counted' in national accounts and the GDP. The only exceptions are the codes for looking for work, and time spent on travelling related to SNA-type activity.
Activity categories 3-5, which cover unpaid household work and care work for household and family members and assistance to other households, fall outside the SNA general production boundary, although they are recognized as 'productive'. In this report they are referred to as non-SNA production Activities. The remaining activity categories are not covered by the SNA. These activities cannot be performed for a person by someone else - people cannot hire someone else to sleep, learn, or eat for them. They thus do not qualify as'work 'or 'production' terms of the „third-person rule. In this report they are referred to as non-productive activities.
Many of the tables in the report are organized according to either the nine categories, or the three SNA-related groupings of these categories.
Other Processing
Manual editing of all filled-in questionnaires and diaries were carried out by the Statistical officers, Statistical Assistance and Development officers of Sample Surveys Division. Special team of Information & Communication Technology (ICT) Assistants was trained for coding activities of the diary following the International Classification of Activities for Time-Use Statistics 2016 (ICATUS-2016). Data entry was carried out by the ICT division of the DCS.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Information Unit | Department of Census & Statistics | information@statistic.gov.lk | http//:www.statistics.gov.lk |
| Sample Survey Division | Department of Census & Statistics | sample.survey@statistics.gov.lk | http//:www.statistics.gov.lk |
Confidentiality
Under the Statistical ordinance, micro data cannot be released with identifications for public use. Procedures are in place to
ensure that information relating to any particular individual person, household or undertaking will be kept strictly confidential
and will not be divulged to external parties. Information on individual or individual Household/establishment will not be
divulged or published in such a form that will facilitate the identification of any particular person or establishment as the data
have been collected under the Census/Statistical ordinance, according to which the information at individual level cannot be
divulged and such information is strictly confidential.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research
purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the
written agreement.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of
aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment
discovered inadvertently.
4. No attempt will be made to produce links among datasets provided by the Department or among data from the Department
and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from
the Department will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Department
The following rules apply to micro data released by the Department of Census and Statistics.
• Only the requests of Government Institutions, Recognized Universities, Students, and selected international agencies are
entertained. However, the Data users are required to strictly adhere to
the terms stipulated in the agreement form.
All the data requests should be made to Director General (DG) of the DCS as the sole authority of releasing data is vested
with the DG, DCS. DCS of Sri Lanka reserves sole right to approve or reject any data request made depending on the
confidential nature of the data set and intended purpose of the study or analysis.
• Requests for micro data should be made through the agreement form designed by DCS for this purpose (Form D.R.1). The
agreement form should be filled in triplicate and the Study/project proposal should accompany the filled agreement form. If
requests are made for the micro data of more than one survey, a separate agreement should be signed.
• If the data request is from a student a letter from the respective Dept. Head/Dean/Supervisor, recommending the issue of
data, should also be accompanied.
• The released Data file should be used only for the specific study/Analysis mentioned in the agreement form and shall not
be used for any other purpose without the prior approval of the Director General of the DCS. Moreover, Copies of the microdata
file, obtained from the DCS, shall not be given to anyone else without the prior written approval of the Director General
of the DCS.
• The draft report of the Study/Analysis should be submitted to the DCS and the concurrence of the DG, DCS, should be
obtained before publishing it. Once published, a copy of the final report should be submitted to the DCS.
[Department : The Department of Census and Statistics]
Source : http://www.statistics.gov.lk/databases/data%20dissemination/DataDissaPolicy_2007Oct26.pdf
purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the
written agreement.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of
aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment
discovered inadvertently.
4. No attempt will be made to produce links among datasets provided by the Department or among data from the Department
and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from
the Department will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Department
The following rules apply to micro data released by the Department of Census and Statistics.
• Only the requests of Government Institutions, Recognized Universities, Students, and selected international agencies are
entertained. However, the Data users are required to strictly adhere to
the terms stipulated in the agreement form.
All the data requests should be made to Director General (DG) of the DCS as the sole authority of releasing data is vested
with the DG, DCS. DCS of Sri Lanka reserves sole right to approve or reject any data request made depending on the
confidential nature of the data set and intended purpose of the study or analysis.
• Requests for micro data should be made through the agreement form designed by DCS for this purpose (Form D.R.1). The
agreement form should be filled in triplicate and the Study/project proposal should accompany the filled agreement form. If
requests are made for the micro data of more than one survey, a separate agreement should be signed.
• If the data request is from a student a letter from the respective Dept. Head/Dean/Supervisor, recommending the issue of
data, should also be accompanied.
• The released Data file should be used only for the specific study/Analysis mentioned in the agreement form and shall not
be used for any other purpose without the prior approval of the Director General of the DCS. Moreover, Copies of the microdata
file, obtained from the DCS, shall not be given to anyone else without the prior written approval of the Director General
of the DCS.
• The draft report of the Study/Analysis should be submitted to the DCS and the concurrence of the DG, DCS, should be
obtained before publishing it. Once published, a copy of the final report should be submitted to the DCS.
[Department : The Department of Census and Statistics]
Source : http://www.statistics.gov.lk/databases/data%20dissemination/DataDissaPolicy_2007Oct26.pdf
Citation requirements
"Department of Census and Statistics, Sri Lanka Time Use Survey - 2017, Version 1.0 of the public use dataset (January
2016), provided by the National Data Archive, Data Processing Division, www.statistics.gov.lk"
2016), provided by the National Data Archive, Data Processing Division, www.statistics.gov.lk"
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | Department of Census & Statistics | dgcensus@statistics.gov.lk | http//:www.statistics.gov.lk |
Disclaimer and copyrights
Disclaimer
The Department of Census and Satatistics bears no responsibility for any results or interpretations arising from the secondary
use of the data
use of the data
Copyright
(C) 2020, Department of Census and Statistics
Metadata production
DDI Document ID
DDI-LKA-DCS-TUS-2017-V01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Department of Census and Statistics | DCS | Ministry of Finance,Economy and Policy Development | Data Collection |
Date of Metadata Production
2021-01-01
DDI Document version
Version 01