Domestic Toursim Survey 2008
West Bank and Gaza, 2009
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Reference ID
PSE-PCBS-DTS-2008-V1.0
Producer(s)
Palestinian Central Bureau Of Statistics
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Oct 21, 2020
Last modified
Oct 21, 2020
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Identification
Survey ID Number
PSE-PCBS-DTS-2008-V1.0
Title
Domestic Toursim Survey 2008
Translated Title
مسح السياحة المحلية 2008
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
Not periodic
Abstract
The aim of this survey is to provide data for important indicators on the activity of the domestic tourism and the pattern of movement of Palestinian households in the Palestinian Territory, where the survey data will be an important reference for decision-makers in the development of tourism Sector
The survey provided data on
Percentage of Palestinian Households that traveled for domestic tourism
Methods of trip organization and destination
Expenditure during the trip
Type and level of services provided in the visited areas
The survey provided data on
Percentage of Palestinian Households that traveled for domestic tourism
Methods of trip organization and destination
Expenditure during the trip
Type and level of services provided in the visited areas
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Version
Version Description
V1.0(Puplic use file)
Version Date
2011-08-08
Scope
Notes
PCBS is pleased to introduce this report on the Domestic Tourism Survey 2008 as an additional component of tourism statistics on inbound tourism. The main objective of this survey is to provide basic information about the demand side of tourism, to be used in the system of Tourism Satellite Accounts in the Palestinian Territory
This report provides statistical data on domestic tourism, including expenditure during trips to tourist resorts, trips conducted by households, destinations countries and the available facilities and services in the resorts visited by the resident households in the Palestinian Territory
This report provides statistical data on domestic tourism, including expenditure during trips to tourist resorts, trips conducted by households, destinations countries and the available facilities and services in the resorts visited by the resident households in the Palestinian Territory
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| leisure, tourism and sport [13.4] | CESSDA | Link |
Coverage
Geographic Coverage
Palestinian Territory
Universe
All the household
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau Of Statistics | Palestinian National Authority |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Palestinian National Authority | PNA | Fund survey |
| Core Funding Group | CFG | Fund survey |
| Swiss Development and Cooperation Agency (SDC). | SDC | Fund survey |
| European Union | EU | Fund survey |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Palestinian National Authority | CFG | Fund survey |
| Core Funding Group | CFG | Fund survey |
| Swiss Agency for Development and Cooperation | CFG | Fund survey |
Sampling
Sampling Procedure
Sample and Frame
The sample is a two-stage stratified cluster random sample.
Target Population
All the households living within the Palestinian Territory.
Sampling Frame
Sampling frame is a master sample from the Population, Housing and Establishment Census 2007. It consists of a list of enumeration areas, which were used as PSU's in the first stage of selection.
Sampling Design
The sample of this survey is a sub-sample of Labour Force Survey (LFS) sample. The total sample of LFS is about 7,552 households distributed over 13 weeks. The sample of the Domestic and Outbound Tourism Survey lasted 13 weeks of the first quarter 2009 of LFS.
Sample Strata
The population was divided by:
Governorate (16 governorates)
Type of Locality (urban, rural, refugee camp)
The sample is a two-stage stratified cluster random sample.
Target Population
All the households living within the Palestinian Territory.
Sampling Frame
Sampling frame is a master sample from the Population, Housing and Establishment Census 2007. It consists of a list of enumeration areas, which were used as PSU's in the first stage of selection.
Sampling Design
The sample of this survey is a sub-sample of Labour Force Survey (LFS) sample. The total sample of LFS is about 7,552 households distributed over 13 weeks. The sample of the Domestic and Outbound Tourism Survey lasted 13 weeks of the first quarter 2009 of LFS.
Sample Strata
The population was divided by:
Governorate (16 governorates)
Type of Locality (urban, rural, refugee camp)
Response Rate
97.3%
Some of the households were not in their houses and the interviewers couldn't meet them.
Some of the households did not show attention toward the questionnaire.
Some errors occurred due to the way the questions were asked by interviewers.
Misunderstanding of the questions by the respondents.
Answering the questions related to consumption by estimations.
During field work, 6,523 households were visited in the Palestinian Territory; the end results of the interviews were as follows:
complete questionnaire 6,345
housing unit did not exist 66
cases no one in the house 12
refusal cases 100
Some of the households were not in their houses and the interviewers couldn't meet them.
Some of the households did not show attention toward the questionnaire.
Some errors occurred due to the way the questions were asked by interviewers.
Misunderstanding of the questions by the respondents.
Answering the questions related to consumption by estimations.
During field work, 6,523 households were visited in the Palestinian Territory; the end results of the interviews were as follows:
complete questionnaire 6,345
housing unit did not exist 66
cases no one in the house 12
refusal cases 100
Weighting
The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two stage stratified cluster sample, so In the first stage, we calculate the weight of enumeration areas which depending on the probability of each enumeration area(a systematic random sample), then In the second stage we calculate weight of households in each enumeration area, Initial households weights resulted from product of weight of first stage and weight of second stage ,final households weights obtained after adjustment of initial weights with the households estimates mid 2009 on the level of design strata (governorate, locality type ) .
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-01-20 | 2009-04-15 |
Time periods
| Start date | End date |
|---|---|
| 2009-01-20 | 2009-04-15 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Fieldworkers were trained on basic skills before the start of data collection. The interviewers were trained on the Domestic Tourism Survey by implementing the training course in Ramallah for the West Bank trainees, and in Gaza for Gaza Strip trainees. Instructions for filling the questionnaire were made available for the interviewers. The training provides the participant with aims and definitions of the different indicators and expressions of the survey and how to fill in the questionnaire.
Data Collection Notes
Training Fieldworkers
Fieldworkers were trained on basic skills before the start of data collection. The interviewers were trained on the Domestic Tourism Survey by implementing the training course in Ramallah for the West Bank trainees, and in Gaza for Gaza Strip trainees. Instructions for filling the questionnaire were made available for the interviewers. The training provided the participant with aims and definitions of the different indicators and expressions of the survey and how to fill in the questionnaire.
Fieldworkers were trained on basic skills before the start of data collection. The interviewers were trained on the Domestic Tourism Survey by implementing the training course in Ramallah for the West Bank trainees, and in Gaza for Gaza Strip trainees. Instructions for filling the questionnaire were made available for the interviewers. The training provided the participant with aims and definitions of the different indicators and expressions of the survey and how to fill in the questionnaire.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
The Domestic Tourism Survey questionnaire was designed in accordance with similar country experience and with international standards and recommendations for the most important indicators, taking into account the special situation of the Palestinian Territory.
and according previous questionnaries
and according previous questionnaries
Data Processing
Data Editing
Duplication of the questionnaires on the computer screen.
Logical and consistency check of data entered.
Possibility for internal editing of question answers.
Maintaining a minimum of digital data entry and fieldwork errors.
User friendly handling.
Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems such as SPSS.
Logical and consistency check of data entered.
Possibility for internal editing of question answers.
Maintaining a minimum of digital data entry and fieldwork errors.
User friendly handling.
Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems such as SPSS.
Data Appraisal
Estimates of Sampling Error
Statistical Errors
Data of the Domestic Tourism Survey was affected by statistical errors due to the use of the sample, therefore, certain differences emerge from the real values obtained through surveys. The variation had been calculated from the most important indicators and their use in the report. The dissemination levels of the data were particularized at the regional level in the West Bank (North, Middle, South) and the Gaza Strip, due to the sample design and the variance calculations for the different indicators.
Non-Statistical Errors
Non-statistical errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained in how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey and practical and theoretical training during the training course.
Also data entry staff was trained on the entry program that was examined before starting the data entry process. To have a fair idea about the situation and to limit obstacles, there was continuous contact with the fieldwork team through regular visits to the field and regular meetings with them during the different field visits. Problems faced by fieldworkers were discussed to clarify any issues.
Data of the Domestic Tourism Survey was affected by statistical errors due to the use of the sample, therefore, certain differences emerge from the real values obtained through surveys. The variation had been calculated from the most important indicators and their use in the report. The dissemination levels of the data were particularized at the regional level in the West Bank (North, Middle, South) and the Gaza Strip, due to the sample design and the variance calculations for the different indicators.
Non-Statistical Errors
Non-statistical errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained in how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey and practical and theoretical training during the training course.
Also data entry staff was trained on the entry program that was examined before starting the data entry process. To have a fair idea about the situation and to limit obstacles, there was continuous contact with the fieldwork team through regular visits to the field and regular meetings with them during the different field visits. Problems faced by fieldworkers were discussed to clarify any issues.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division Of User Services | Palestinian Central Bureau of Statistics | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
PCBS - Example:
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
License Agreement for the Use of Micro Data in PCBS
items(10,11,12) as following:
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.
items(10,11,12) as following:
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.
Citation requirements
Palestinian Central Bureau of Statistics, Domestic Tourism Survey 2008, V 1.0 (04-2011) Ramallah- Palestine
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
The Palestinian Central Bureau of Statistics (PCBS) provide you with the data as is, without any warranty or responsibility implied. PCBS accepts no responsibility for the results and/or implications of any analysis and/or other actions conducted with this data.
Copyright
© All rights reserved. Palestinian Central Bureau of Statistices, Domestic Tourism Survey ,2008
Metadata production
DDI Document ID
DDI-PSE-PCBS-DTS-2008-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority | Produce the survey from the idea to impleme ntation |
Date of Metadata Production
2011-08-08
DDI Document version
V1.0 (puplic use file)