Transport Survey Outside Establishments Sector 2014
West Bank and Gaza, 2015
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Reference ID
PSE-PCBS-TSOES-2014-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Feb 11, 2020
Last modified
Feb 11, 2020
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Identification
Survey ID Number
PSE-PCBS-TSOES-2014-V1.0
Title
Transport Survey Outside Establishments Sector 2014
Translated Title
مسح النقل القطاع خارج المنشآت 2014
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Informal Sector Survey [hh/iss]
Series Information
PCBS is pleased to issue the nineteenth volume of the Transport Survey-Outside Establishment Sector 2014, we hope that this report will provide national governmental organizations, non-governmental organizations, and research institutions in Palestine with the necessary statistical figures required for planning and development in Palestine.
Abstract
There is increasing concern in national statistical offices about coverage of informal economic activities. PCBS has given priority to transport activities, due to their importance to the Palestinian economy. The informal transport survey complements the 2014 formal transport sector survey. The PCBS began by exerting tremendous effort to establish a sampling frame. All land transport stops in major Palestinian cities were defined and data about the number and characteristics of operating vehicles were collected in order to stratify the population into homogenous stratum.
The survey covers activities of the informal sector according to (ISIC-4) for both:
Non-scheduled passenger land transport (4922)
Freight transport by road (4923)
Objectives:
Objectives of this survey are the following.
1. Number of transport vehicles and persons engaged by activity.
2. Value of output and intermediate consumption
3. Value added components.
4. Fixed assets.
5. Other selected variables.
The survey covers activities of the informal sector according to (ISIC-4) for both:
Non-scheduled passenger land transport (4922)
Freight transport by road (4923)
Objectives:
Objectives of this survey are the following.
1. Number of transport vehicles and persons engaged by activity.
2. Value of output and intermediate consumption
3. Value added components.
4. Fixed assets.
5. Other selected variables.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
vehicles
Version
Version Description
v0.1: version (datasets for public use)
Version Date
2015-09-13
Scope
Notes
The objectives of this survey are as follows:
1. Number of transport vehicles and Employed Persons by activity.
2. Value of output and intermediate consumption.
3. Value added components.
4. Fixed assets and other selected variables.
1. Number of transport vehicles and Employed Persons by activity.
2. Value of output and intermediate consumption.
3. Value added components.
4. Fixed assets and other selected variables.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| economic conditions and indicators [1.2] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Informal Transport | Glossary of Statistical | Link |
Coverage
Geographic Coverage
Palestine
Universe
The survey covers activities of the informal sector according to (ISIC-4) for both:
Non-scheduled passenger land transport (4922)
Freight transport by road (4923)
Vehicles:divided according to its activity to:
·Taxi passengers.
·Private passengers.
·Freight transport by road.
Non-scheduled passenger land transport (4922)
Freight transport by road (4923)
Vehicles:divided according to its activity to:
·Taxi passengers.
·Private passengers.
·Freight transport by road.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Central Bureau of Statistics | Palestine | Producers |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The Palestine | PS | financial |
| The Representative Office of Norway | NOR | financial |
| Swiss Agency for Development and Cooperation | (SDC) | financial |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Palestine | financial | |
| The Representative Office of Norway | CFG | financial |
| Swiss Agency for Development and Cooperation | CFG | financial |
Sampling
Sampling Procedure
Sample Design:
The design used is a random cluster stratified sample:
Quota sample proportional to the size of the station. The sample size amounted to (2,683) vehicles of the total (11,060) vehicles that comprise the survey frame.
Sample Clusters:
Barking divided to clusters on the following levels:
1. Transport kind: Vehicles divided according to its activity to:
- Taxi passengers.
- Privet passengers.
- Freight transport by road.
2. Vehicles model: Vehicles divided according to its model to:
- Model 2005 below.
- Model 2006 up
The design used is a random cluster stratified sample:
Quota sample proportional to the size of the station. The sample size amounted to (2,683) vehicles of the total (11,060) vehicles that comprise the survey frame.
Sample Clusters:
Barking divided to clusters on the following levels:
1. Transport kind: Vehicles divided according to its activity to:
- Taxi passengers.
- Privet passengers.
- Freight transport by road.
2. Vehicles model: Vehicles divided according to its model to:
- Model 2005 below.
- Model 2006 up
Response Rate
The Response ratio is (95.4%)
Weighting
The sampling weight of the vehicle is the mathematical turned of the possibility selection of that enterprise. It is necessary to use weights in the estimation of the survey society because of the differentiation in the possibility of vehicles selection from one another .
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2015-03-10 | 2015-03-29 | YEARLY |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2014-01-01 | 2014-12-31 | YEARLY |
Data Collection Mode
Face-to-face [f2f]
Supervision
Field visits were conducted by survey's management team to ensure data collection was carried out according to standards
Data Collection Notes
Data Collection Method
Fieldworkers collect data through personal interviews with the owners or the managers of the selected economic establishments.
Fieldwork editing
Fieldworkers and supervisors make an initial formally and technically editing depends on prepared editing rules.
Office Editing
The filled questionnaires are subjected to editing where the inaccurate questionnaires resend to the fieldwork again to correct the mistakes and to complete the missing parts.
Coding
After finish editing process the completed questionnaires subject to coding process to be prepared to the data entry process.
Fieldworkers collect data through personal interviews with the owners or the managers of the selected economic establishments.
Fieldwork editing
Fieldworkers and supervisors make an initial formally and technically editing depends on prepared editing rules.
Office Editing
The filled questionnaires are subjected to editing where the inaccurate questionnaires resend to the fieldwork again to correct the mistakes and to complete the missing parts.
Coding
After finish editing process the completed questionnaires subject to coding process to be prepared to the data entry process.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
The questionnaire of the transport survey- outside sector was designed to take into account major economic variables pertaining to the examined phenomenon and it meets the needs of the Palestinian National Accounts. Which contains the following questions:
· questions about vehicle.
· Persons engaged and their compensations.
· Value of output from main activity.
· Intermediate consumption.
· Taxes on production.
· Fixed assets.
· questions about vehicle.
· Persons engaged and their compensations.
· Value of output from main activity.
· Intermediate consumption.
· Taxes on production.
· Fixed assets.
Data Processing
Data Editing
Data Entry Training:
The data entry training begins before the data entry process, the training is of two parts theoretically and practically.
Data Entry Administrative:
The Information System Directorate administrates the whole process with all its requirements. The data entry team is of data entry employees and a supervisor.
Editing of Data Entry:
There are tow steps:
First: Throughout the data entry itself since the program itself is available to correct mistakes in data entry.
Second: Listing of questionnaires, which are, still have mistakes in data entry.
Data Tabulation:
Primary tables are exerted after the process of data entry and editing. A process of editing data is being taken to have at the end a final correct data tables.
The data entry training begins before the data entry process, the training is of two parts theoretically and practically.
Data Entry Administrative:
The Information System Directorate administrates the whole process with all its requirements. The data entry team is of data entry employees and a supervisor.
Editing of Data Entry:
There are tow steps:
First: Throughout the data entry itself since the program itself is available to correct mistakes in data entry.
Second: Listing of questionnaires, which are, still have mistakes in data entry.
Data Tabulation:
Primary tables are exerted after the process of data entry and editing. A process of editing data is being taken to have at the end a final correct data tables.
Data Appraisal
Estimates of Sampling Error
Sampling Errors
Data of this survey affected by statistical errors due to use the sample, Therefore, the emergence of certain differences from the real values expect obtained through censuses. It had been calculated variation of the most important indicators exists and the facility with the report. And the dissemination levels of the data were particularized at the regional level in the Palestinian Territories.
Non- Sampling 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, interview in 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.
Also data entry staff was trained on the entry program that was examined before starting the data entry process, preparing data entry program before data collection for checking readiness of the program for data entry, a set of validation rules were applied on the program for checking consistency of data, weekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction. 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 this survey affected by statistical errors due to use the sample, Therefore, the emergence of certain differences from the real values expect obtained through censuses. It had been calculated variation of the most important indicators exists and the facility with the report. And the dissemination levels of the data were particularized at the regional level in the Palestinian Territories.
Non- Sampling 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, interview in 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.
Also data entry staff was trained on the entry program that was examined before starting the data entry process, preparing data entry program before data collection for checking readiness of the program for data entry, a set of validation rules were applied on the program for checking consistency of data, weekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction. 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
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.
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 2015, Transport Survey: Outside Establishments Sector 2014, Main Results. 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, 2015.Transport Survey Outside Establishments Sector 2014
Metadata production
DDI Document ID
DDI-PSE-PCBS-TSOES-2014-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2015-09-13
DDI Document version
V1.0 Version 1.0