Time Use Survey 2012-2013
West Bank and Gaza, 2012 - 2013
Get MicrodataCreated on
Dec 26, 2021
Last modified
Dec 26, 2021
Page views
52256
Downloads
435
Identification
Survey ID Number
PSE-PCBS-TUS-2012-2013-V1.0
Title
Time Use Survey 2012-2013
Translated Title
مسح استخدام الوقت 2012-2013
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
This Survey identifies the activities that Palestinians engage in during their daily lives and provides data on average time use, job activities in both formal and non-formal sectors, paid and unpaid jobs, unpaid domestic services, unpaid care-giving services, community services, learning activities, social events in the community, attending cultural, recreational and sports activities, hobbies, games and other entertainment, internal and external sports and related activities, media use, personal care, and Israeli occupation measures and political activities. The report also covers data on participation in activities, the surrounding environment and venues and means of transportation used for activities.
This is the second time that the survey has been carried out, as the Palestinian Central Bureau of Statistics implemented this survey for the first time during the period between May 8 1999 and 5/7/2000
This is the second time that the survey has been carried out, as the Palestinian Central Bureau of Statistics implemented this survey for the first time during the period between May 8 1999 and 5/7/2000
Abstract
The survey provides basic data needed for the development of national policies. The main objectives of the Time Use Survey were as follows:
1. Measurement and analysis of quality of life or general well-being.
2. Identifying demographic and socio-economic characteristics of individuals in Palestinian society.
3. Measurement and valuation of unpaid work (domestic and volunteer work) and development of household production accounts.
4. Improving estimates of paid and unpaid work.
5. Assisting planners and policy makers to develop strategies and policies that may contribute to developmental planning issues.
It is also a rich source of information about the use of time to learn about the nature and structure of individuals in Palestinian society during the year 2012/2013, in different age groups, including children, women, youth and the elderly, and to illuminate the path for decision makers and policy makers in the process of comprehensive national development in this country.
Time Use Survey is a basic tool to determine gender issues. The data enable analysis of the quality of life and an assessment of the extent of female participation in paid and unpaid work (housework and volunteer work) and women's contribution to national accounts.
1. Measurement and analysis of quality of life or general well-being.
2. Identifying demographic and socio-economic characteristics of individuals in Palestinian society.
3. Measurement and valuation of unpaid work (domestic and volunteer work) and development of household production accounts.
4. Improving estimates of paid and unpaid work.
5. Assisting planners and policy makers to develop strategies and policies that may contribute to developmental planning issues.
It is also a rich source of information about the use of time to learn about the nature and structure of individuals in Palestinian society during the year 2012/2013, in different age groups, including children, women, youth and the elderly, and to illuminate the path for decision makers and policy makers in the process of comprehensive national development in this country.
Time Use Survey is a basic tool to determine gender issues. The data enable analysis of the quality of life and an assessment of the extent of female participation in paid and unpaid work (housework and volunteer work) and women's contribution to national accounts.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individual
Version
Version Description
V1.0: version (datasets for public use)
Version Date
2014-08-15
Scope
Notes
1. Identification Data
This identifies a unified means of determining data that define a household, including the divisions of sample design: the number in the enumeration area, governorate and locality, building identification number, number of household, and the name of head of household.
2. Quality Control
This is the development of controls of field and office operations and the sequencing in questionnaire stages, usually beginning with data collection through to field and office auditing, data coding, data entry, checks after data entry, and ending with the storage process.
3. Household Members Background Details
These include household members, relationship to the head of household, gender, date of birth and age, in addition to other demographic and economic data for the household as a whole.
4. Household Questionnaire
This includes questions related to the household in terms of type of housing unit, material used as flooring in the housing unit, primary fuel type used in cooking, goods and services available, monthly household income, and other indicators.
5. Daily Record Questionnaire
This part of the questionnaire comprised two time records: in the first record, one male member of the household aged 10 years and above is selected at random and in the second record, one female household member aged 10 years and above is selected at random. The day was divided into periods of time of up to 30 minutes each from midnight until six am and 10 minutes for each period during the day from six am until twelve o'clock at night. The record also contains information that shows whether the activity was performed for a fee or financial return or not. Any secondary activity is also recorded. This information identifies the respondent performing these activities, with whom and the means of transportation or venue where the individual performed the various activities throughout the day (during a 24-hour period).
This identifies a unified means of determining data that define a household, including the divisions of sample design: the number in the enumeration area, governorate and locality, building identification number, number of household, and the name of head of household.
2. Quality Control
This is the development of controls of field and office operations and the sequencing in questionnaire stages, usually beginning with data collection through to field and office auditing, data coding, data entry, checks after data entry, and ending with the storage process.
3. Household Members Background Details
These include household members, relationship to the head of household, gender, date of birth and age, in addition to other demographic and economic data for the household as a whole.
4. Household Questionnaire
This includes questions related to the household in terms of type of housing unit, material used as flooring in the housing unit, primary fuel type used in cooking, goods and services available, monthly household income, and other indicators.
5. Daily Record Questionnaire
This part of the questionnaire comprised two time records: in the first record, one male member of the household aged 10 years and above is selected at random and in the second record, one female household member aged 10 years and above is selected at random. The day was divided into periods of time of up to 30 minutes each from midnight until six am and 10 minutes for each period during the day from six am until twelve o'clock at night. The record also contains information that shows whether the activity was performed for a fee or financial return or not. Any secondary activity is also recorded. This information identifies the respondent performing these activities, with whom and the means of transportation or venue where the individual performed the various activities throughout the day (during a 24-hour period).
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| time use [13.9] | CESSDA | Link |
Coverage
Geographic Coverage
1- Governorate (16 governorates in west bank and Gaza strip)
2- Locality type (urban, rural, camps)
2- Locality type (urban, rural, camps)
Geographic Unit
- Region (West Bank, Gaza Strip)
- locality type (urban, rural, camp)
- locality type (urban, rural, camp)
Universe
The Target population of the survey consists of all Palestinian individuals of age group 10 years and over, who are living normally with their households in Palestine in 2012/2013 .
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| State of Palestine | PNA | Financial assistance |
| United Nations Population Fund | UNFPA | Financial assistance |
| CFG | CFG | Financial assistance |
| the United Nations Children's Fund | UNICEF | Financial assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Statistical Norway | CFG | responded to the survey instrument |
| Swiss Agency for Development and Cooperation | CFG | responded to the survey instrument |
Sampling
Sampling Procedure
Sampling Design
After determining the sample size, the sample type is three-stage stratified cluster sample as following:
1- First stage: selecting systematic sample of 220 clusters (enumeration areas).
2- Second stage: selection sample of 21 responded households from each EA selected in the first stage (we use the area sampling to get this number of responded households).
3- Third stage: selection two individuals male and female (10 years and more) from each household selected in second stage using random kish tables.
The population was divided to strata by:
Governorate (16 governorates in west bank and Gaza strip)
Locality type (urban, rural, camps)
After determining the sample size, the sample type is three-stage stratified cluster sample as following:
1- First stage: selecting systematic sample of 220 clusters (enumeration areas).
2- Second stage: selection sample of 21 responded households from each EA selected in the first stage (we use the area sampling to get this number of responded households).
3- Third stage: selection two individuals male and female (10 years and more) from each household selected in second stage using random kish tables.
The population was divided to strata by:
Governorate (16 governorates in west bank and Gaza strip)
Locality type (urban, rural, camps)
Deviations from the Sample Design
The sample size of the survey is 5,903 Palestinian households.
After determining the sample size, the sample type is three-stage stratified cluster sample as following:
1- First stage: selecting systematic sample of 220 clusters (enumeration areas).
2- Second stage: selection sample of 21 responded households from each EA selected in the first stage (we use the area sampling to get this number of responded households).
Third stage: selection two individuals male and female (10 years and more) from each household selected in second stage using random kish tables
After determining the sample size, the sample type is three-stage stratified cluster sample as following:
1- First stage: selecting systematic sample of 220 clusters (enumeration areas).
2- Second stage: selection sample of 21 responded households from each EA selected in the first stage (we use the area sampling to get this number of responded households).
Third stage: selection two individuals male and female (10 years and more) from each household selected in second stage using random kish tables
Response Rate
The sample size of the survey was 5,903 households and 4,605 households were completed. Weights were adjusted to compensate for the non-response cases. The response rate in the survey in Palestine was 79.6% for households
Weighting
Weight Calculation of Households
The weight of statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is a three-stage stratified cluster sample. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area (a systematic random sample). In the second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the middle of 2013 with regard to design strata (governorate, locality type).
For individuals, we added the final household weight for each person in individuals file, then the initial individual weight is adjusted to the population estimates 15/5/2013, according to region (West Bank, Gaza Strip), sex (male, female), age groups (17 groups), then we obtained the final adjusted individual weight then we merge this weights to time record file and we adjusted this weights to the population estimates 15/5/2013 according to previous postrata .
The weight of statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is a three-stage stratified cluster sample. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area (a systematic random sample). In the second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the middle of 2013 with regard to design strata (governorate, locality type).
For individuals, we added the final household weight for each person in individuals file, then the initial individual weight is adjusted to the population estimates 15/5/2013, according to region (West Bank, Gaza Strip), sex (male, female), age groups (17 groups), then we obtained the final adjusted individual weight then we merge this weights to time record file and we adjusted this weights to the population estimates 15/5/2013 according to previous postrata .
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2012-09-29 | 2013-10-10 | year |
Time periods
| Start date | End date |
|---|---|
| 2012-09-29 | 2013-10-10 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Field operations represented the most important stages of the implementation of the survey for the collection of the required data from primary sources. To ensure success, this phase should be prepared in detail. This includes the provision of all technical and administrative requirements regarding recruitment, training and the provision of material supplies for optimal performance.
2.5.1 Training Fieldworkers
A training course was launched on 16/09/2012 and lasted until 24/09/2012 for a period of seven days. The fieldwork team for the Time Use Survey was selected from personnel who had worked on the Palestinian Expenditure and Consumption Survey for their experience in working on household surveys. There were 48 trainees in total distributed as follows:
- 34 trainees from the West Bank.
- 14 trainees from the Gaza Strip.
The training combined theoretical, practical aspects, short exams, direct questions and many exercises on the coding manual. The field worker played an important role in distributing questionnaires, examining them the following day, collecting them on the third day, then conducting desk encoding after completion of data collection. There were 14 field workers appointed to work on the project with a variable number of field workers in each area depending on the sample. The team comprised a supervisor, an auditor, one or two female field workers according to the enumeration area in the center, north or south, in addition to five field workers in the Gaza Strip, along with an auditor and a supervisor.
Field workers were trained on the UN coding manual for three days, divided into three coding groups. Each day of coding training included explaining exercises to the groups, conducting practical and theoretical exercises, and at the end of the course, an examination to recruit the best workers.
The training made field workers aware of literature on field surveys, methodology, the basics of field surveys, including statistical survey design, design of the questionnaire, procedures to conduct field interviews, how to collect data via the questionnaire and how to distribute and assemble questionnaires during the week. Field workers also covered sample design, reading statistical maps and the principles of team work in the field. They were briefed on how to conduct field and desk auditing of questionnaires, re-interviewing and other tests to ensure the quality of work to obtain accurate and reliable data.
2.5.1 Training Fieldworkers
A training course was launched on 16/09/2012 and lasted until 24/09/2012 for a period of seven days. The fieldwork team for the Time Use Survey was selected from personnel who had worked on the Palestinian Expenditure and Consumption Survey for their experience in working on household surveys. There were 48 trainees in total distributed as follows:
- 34 trainees from the West Bank.
- 14 trainees from the Gaza Strip.
The training combined theoretical, practical aspects, short exams, direct questions and many exercises on the coding manual. The field worker played an important role in distributing questionnaires, examining them the following day, collecting them on the third day, then conducting desk encoding after completion of data collection. There were 14 field workers appointed to work on the project with a variable number of field workers in each area depending on the sample. The team comprised a supervisor, an auditor, one or two female field workers according to the enumeration area in the center, north or south, in addition to five field workers in the Gaza Strip, along with an auditor and a supervisor.
Field workers were trained on the UN coding manual for three days, divided into three coding groups. Each day of coding training included explaining exercises to the groups, conducting practical and theoretical exercises, and at the end of the course, an examination to recruit the best workers.
The training made field workers aware of literature on field surveys, methodology, the basics of field surveys, including statistical survey design, design of the questionnaire, procedures to conduct field interviews, how to collect data via the questionnaire and how to distribute and assemble questionnaires during the week. Field workers also covered sample design, reading statistical maps and the principles of team work in the field. They were briefed on how to conduct field and desk auditing of questionnaires, re-interviewing and other tests to ensure the quality of work to obtain accurate and reliable data.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
Questionnaire
The survey questionnaire is the main tool for data collection and was designed on the basis of international surveys specially designed for time use surveys, as well as on the basis of the recommendations of the workshop on time use surveys held in Jordan in 2010. This was organized by ESCWA in cooperation with UNSD to develop a questionnaire for a time use survey and coding manual, along with adding activities related to the Palestinian context compatible with the coding manual of the United Nations of 2006. The questionnaire meets the technical specifications for the field work phase and data processing and analysis requirements. The questionnaire included several sections:
1. Identification Data
This identifies a unified means of determining data that define a household, including the divisions of sample design: the number in the enumeration area, governorate and locality, building identification number, number of household, and the name of head of household.
2. Quality Control
This is the development of controls of field and office operations and the sequencing in questionnaire stages, usually beginning with data collection through to field and office auditing, data coding, data entry, checks after data entry, and ending with the storage process.
3. Household Members Background Details
These include household members, relationship to the head of household, gender, date of birth and age, in addition to other demographic and economic data for the household as a whole.
4. Household Questionnaire
This includes questions related to the household in terms of type of housing unit, material used as flooring in the housing unit, primary fuel type used in cooking, goods and services available, monthly household income, and other indicators.
5. Daily Record Questionnaire
This part of the questionnaire comprised two time records: in the first record, one male member of the household aged 10 years and above is selected at random and in the second record, one female household member aged 10 years and above is selected at random. The day was divided into periods of time of up to 30 minutes each from midnight until six am and 10 minutes for each period during the day from six am until twelve o'clock at night. The record also contains information that shows whether the activity was performed for a fee or financial return or not. Any secondary activity is also recorded. This information identifies the respondent performing these activities, with whom and the means of transportation or venue where the individual performed the various activities throughout the day (during a 24-hour period).
The survey questionnaire is the main tool for data collection and was designed on the basis of international surveys specially designed for time use surveys, as well as on the basis of the recommendations of the workshop on time use surveys held in Jordan in 2010. This was organized by ESCWA in cooperation with UNSD to develop a questionnaire for a time use survey and coding manual, along with adding activities related to the Palestinian context compatible with the coding manual of the United Nations of 2006. The questionnaire meets the technical specifications for the field work phase and data processing and analysis requirements. The questionnaire included several sections:
1. Identification Data
This identifies a unified means of determining data that define a household, including the divisions of sample design: the number in the enumeration area, governorate and locality, building identification number, number of household, and the name of head of household.
2. Quality Control
This is the development of controls of field and office operations and the sequencing in questionnaire stages, usually beginning with data collection through to field and office auditing, data coding, data entry, checks after data entry, and ending with the storage process.
3. Household Members Background Details
These include household members, relationship to the head of household, gender, date of birth and age, in addition to other demographic and economic data for the household as a whole.
4. Household Questionnaire
This includes questions related to the household in terms of type of housing unit, material used as flooring in the housing unit, primary fuel type used in cooking, goods and services available, monthly household income, and other indicators.
5. Daily Record Questionnaire
This part of the questionnaire comprised two time records: in the first record, one male member of the household aged 10 years and above is selected at random and in the second record, one female household member aged 10 years and above is selected at random. The day was divided into periods of time of up to 30 minutes each from midnight until six am and 10 minutes for each period during the day from six am until twelve o'clock at night. The record also contains information that shows whether the activity was performed for a fee or financial return or not. Any secondary activity is also recorded. This information identifies the respondent performing these activities, with whom and the means of transportation or venue where the individual performed the various activities throughout the day (during a 24-hour period).
Data Processing
Data Editing
Data verification: comprehensive automated rules of data verification in between questions ensured consistency and identification of answers that were out of range or irrational. This was carried out by a special program performed on a regular basis. The team reviewed error messages and modification of errors based on observations or returned the questionnaire to the field for double checking. The auditing mechanism was prepared by the project management and applied to the data entry program by a programmer where necessary. Appropriate data auditing tests proposed by the project management during the auditing procedure were inclusive and covered all questions in the questionnaire. The questionnaires were drawn from extracted lists and checked automatically, corrected and adjusted on the computer. Then a second list was extracted for the same questionnaires to ensure that the amendment was valid and that all questionnaires had been modified.
Data Appraisal
Estimates of Sampling Error
Survey data may be affected by statistical errors as a result of the use of a sample rather than a comprehensive survey covering all units of the study population. Thus, differences may be anticipated from the real values that emerge from a census and variations were calculated for the most important indicators.
The results indicated that there was no problem in the dissemination of data applicable to Palestine as a whole or on a regional basis (the West Bank and the Gaza Strip).
The results indicated that there was no problem in the dissemination of data applicable to Palestine as a whole or on a regional basis (the West Bank and the Gaza Strip).
Data Appraisal
The concept of data quality includes multiple aspects, starting from initial planning for the survey and ending with data dissemination and interpretation of data for optimal use. The most important components of statistical quality include accuracy, comparability, and quality control procedures. Statistical quality also includes checking and auditing data accuracy in multiple aspects of the survey, particularly statistical errors due to the use of a sample, plus non-statistical errors by staff and the use of survey tools. Response rates may also have a crucial impact on estimates
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of Users Services | Palestinian Central Bureau of Statistics | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law No. (5) for Year 2000
Article (17)
1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables.
2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.
Access conditions
1. pledges the utilization of "data" or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
Citation requirements
Palestinian Central Bureau of Statistics, Time Use Survey,2012-2013. v1.0 (2014)
Ramallah - Palestine
Ramallah - Palestine
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.
Copyright
(c) All Rights Reserved Palestinian Central Bureau of Statistics, (2012-2013).
Metadata production
DDI Document ID
DDI-PSE-PCBS-TUS-2012-2013-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian Nationa Authority | Production and execute the survey |
DDI Document version
V1.0