Social Survey of Jerusalem 2010
West Bank and Gaza, 2010
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Reference ID
PSE-PCBS-SSJ-2010-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Dec 26, 2019
Last modified
Dec 26, 2019
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Identification
Survey ID Number
PSE-PCBS-SSJ-2010-V1.0
Title
Social Survey of Jerusalem 2010
Translated Title
المسح الاجتماعي لمحافظة القدس 2010
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
Given the importance of Jerusalem governorate because of its privacy from the rest of governorates and exposure of Israeli action Continuing Judaization of Jerusalem and the lack of sufficient data about the social and economic characteristics of the population of Jerusalem, considered by the Central Bureau of Statistics Data Update the demographic situation and social and economic status of the population in Jerusalem governorate through the implementation of a third session of the survey of social during the year 2010, which had already been implemented during the years 2003, 2005
Abstract
The Jerusalem Household Social Survey 2010 is one of the most important statistical
activities that have been conducted by PCBS. It is the most detailed and comprehensive
statistical activity that PCBS has conducted in Jerusalem.
The main objective of the Jerusalem household social survey, 2010 is to provide basic information about:
Demographic and social characteristics for the Palestinian society in Jerusalem governorate including age-sex structure, Illiteracy rate, enrollment and drop-out rates by background characteristics, Labor force status, unemployment rate, occupation, economic activity, employment status, place of work and wage levels, Housing and housing conditions,
Living levels and impact of Israeli measures on nutrition behavior during Al-Aqsa intifada, Criminal offence, its victims, and injuries caused.
activities that have been conducted by PCBS. It is the most detailed and comprehensive
statistical activity that PCBS has conducted in Jerusalem.
The main objective of the Jerusalem household social survey, 2010 is to provide basic information about:
Demographic and social characteristics for the Palestinian society in Jerusalem governorate including age-sex structure, Illiteracy rate, enrollment and drop-out rates by background characteristics, Labor force status, unemployment rate, occupation, economic activity, employment status, place of work and wage levels, Housing and housing conditions,
Living levels and impact of Israeli measures on nutrition behavior during Al-Aqsa intifada, Criminal offence, its victims, and injuries caused.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
households, Individual
Version
Version Description
V1.0: (public use file)
Version Date
2011-01-01
Scope
Notes
The survey presents data on household persons,
Housing and housing conditions,
Living levels,
Criminal offence.
Housing and housing conditions,
Living levels,
Criminal offence.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Social Survey of Jerusalem, 2010 | CESSDA | Link |
Coverage
Geographic Coverage
Social survey data covering the province of Jerusalem only, the type locality (urban, rural, refugee camps) and Governorate
Universe
The target population was all Palestinian
households living in Jerusalem Governorate.
households living in Jerusalem Governorate.
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 | Survey Fund |
| Representative Office of Norway | NOR | Survey Fund |
| Swiss Development and Cooperation Agency | SDC | Survey Fund |
| The Core Funding Group | CFG | Survey Fund |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Representative Office of Norway | NOR | Survey Fund |
| Swiss Development and Cooperation Agency | SDC | Survey Fund |
| The Core Funding Group | CFG | Survey Fund |
Sampling
Sampling Procedure
The Sample Frame
Were estimated sample size of Jerusalem by 2,075 family, including 1,200 families in the Area J1, and 875 families in the Area of J2 has been the establishment of Sample Frame to Jerusalem (J2) of the General Census of Population and Housing, and Establishment, which was carried out by the PCBS at the end of 2007. And the frame is a list of counting areas, and these areas are used as units an initial preview (PSUs) in the first stage of the process of selecting the sample.
Stratified cluster random sample of regular two phases:
Phase 1 was selected a stratified random sample of enumeration areas from Jerusalem (J1) and Jerusalem (J2). The number of enumeration areas that have been chosen counting area 75 divided into two Areas : 40 the count of Jerusalem (J1), 35 the count of Jerusalem (J2).
Phase 2 Is to choose a random sample (in a field) of the households of the selected enumeration areas are selected so that 30 families from each of the complete count has been selected in the first phase of Jerusalem (J1) and 25 families are selected at random from each Areas regularly count has been selected in the first phase of Jerusalem (J2) on the completion of the data that are a minimum of 20 families from each Areas counted in Jerusalem (J2).
Were estimated sample size of Jerusalem by 2,075 family, including 1,200 families in the Area J1, and 875 families in the Area of J2 has been the establishment of Sample Frame to Jerusalem (J2) of the General Census of Population and Housing, and Establishment, which was carried out by the PCBS at the end of 2007. And the frame is a list of counting areas, and these areas are used as units an initial preview (PSUs) in the first stage of the process of selecting the sample.
Stratified cluster random sample of regular two phases:
Phase 1 was selected a stratified random sample of enumeration areas from Jerusalem (J1) and Jerusalem (J2). The number of enumeration areas that have been chosen counting area 75 divided into two Areas : 40 the count of Jerusalem (J1), 35 the count of Jerusalem (J2).
Phase 2 Is to choose a random sample (in a field) of the households of the selected enumeration areas are selected so that 30 families from each of the complete count has been selected in the first phase of Jerusalem (J1) and 25 families are selected at random from each Areas regularly count has been selected in the first phase of Jerusalem (J2) on the completion of the data that are a minimum of 20 families from each Areas counted in Jerusalem (J2).
Response Rate
Were selected (2,374) represented the family of Jerusalem Governorate, a sample size which is equal to the original 2,075 family as well as samples to 299 additional families of Jerusalem (J2)
The number of families who were interviewed (1,709) in Jerusalem Governorate,
complete Questionnaires 72.0%
(1,026) in J1 85.5%
(683) in J2 58.2%
The number of families who were interviewed (1,709) in Jerusalem Governorate,
complete Questionnaires 72.0%
(1,026) in J1 85.5%
(683) in J2 58.2%
Weighting
Known weight on it upside down the probability of selection of the element in the sample, can be explained by weight as the amount represented by the element in the sample of elements of society, has been calculated weights to take into account compensation for cases of non-completion that has been through the process of data collection, when calculating the weights of households to the survey were into account the distribution of households by region and type of locality in Jerusalem Governorate according to population estimates mid-2010, is divided into two levels I: Jerusalem Area J1 layers, including (Jerusalem, "Jerusalem holy place" and the rest of the urban and the camp in the area of J1). The second layers J2 Jerusalem area, including (urban, rural and camp in the area of J2).
As for individuals to calculate the weights have been taking into account the population distribution by region, sex and age structure estimated population in mid-2010, estimates from the reality of the Central Bureau of Statistics. It is essential when calculating estimates of indicators for the survey is calculated weights, so that each unit weight of analysis commensurate with the probability of selection of the unit.
As for individuals to calculate the weights have been taking into account the population distribution by region, sex and age structure estimated population in mid-2010, estimates from the reality of the Central Bureau of Statistics. It is essential when calculating estimates of indicators for the survey is calculated weights, so that each unit weight of analysis commensurate with the probability of selection of the unit.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2010-07-08 | 2010-08-30 | J2 |
| 2010-07-08 | 2010-09-26 | J1 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2010-07-08 | 2010-08-30 | J2 |
| 2010-07-08 | 2010-09-26 | J1 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Process was complete forms through a personal interview for adult family members who are able to answer. Work has begun in the field of the project ended on 08/07/2010 and 26/09/2010, has been distributed team of field work in the areas of J1 and J2 by the size of the sample, is also equipped field team supplies all the field work, and the number of staff in project in the province of Jerusalem (18), where divided into two groups J1 and covered 4 Researcher, supervisors and auditor, J2 and included 9 researchers, 2 supervisors and auditor.
Data Collection Notes
the process of data collection Began from the field in the Jerusalem governorate for each of the areas J1 and J2 on 08/07/2010. But because of the large number of withdrawals from the team of field work, especially in Area J1 using a new team of field work for the resumption of work in the J1 Area of the Jerusalem governorate while still working in the area J2, which ended with the data collection process in the Area J2 on 30/08/2010, in when it ended in Area J1 on 26/09/2010
Have been distributed team of field work in the areas of J1 and J2 by the size of the sample, is also equipped field team all tools and supplies of field work, and the number of staff working on the project in Jerusalem governorate (18), where divided into two groups J1 and covered 4 researchers and supervisor and auditor, J2 and included 9 researchers, supervisor and two auditor.
Have been distributed team of field work in the areas of J1 and J2 by the size of the sample, is also equipped field team all tools and supplies of field work, and the number of staff working on the project in Jerusalem governorate (18), where divided into two groups J1 and covered 4 researchers and supervisor and auditor, J2 and included 9 researchers, supervisor and two auditor.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
A survey questionnaire the main tool for gathering information, so do not need to check the technical specifications for the phase of field work, as required to achieve the requirements of data processing and analysis, has been designed form the survey after examining the experience of other countries on the subject of social surveys, covering the form as much as possible the most important social indicators as recommended by the United Nations, taking into account the specificity of the Palestinian community in this aspect.
Data Processing
Data Editing
Data processing:
Input processing programs:
Program is designed input beam programming Access, entry screens have been designed and auditing as well as the tests have been developed through automated checking the input and then cleaning the rules of programming questions and to examine variables at the level of form.
Data entry:
After the completion of design input, testing and making sure readiness, started work on data entry and after the entrances have been trained to deal with the programs of the entry. Work began on the introduction of survey data as of 26/07/2010 until 28/11/2010. It was the number of entrances who worked on the introduction of statements 5 entrances at a minimum, where the number of employees to enter data commensurate with the flow of forms, note that the flow of the forms on the entry could not be uniform due to the difficulty of transportation because of security conditions, and was checking the forms returned from the entry of by the auditors to complete and re-adjusted and then re-entered its final form after their arrival from the field.
Check and clean the data:
Been cleaned data queries run tests and adjust input errors immediately. And re-forms containing errors form to the project manager to deal with them.
After the completion of the data entry process began work on the audit and examine the data as follows:
1. Check transitions, and allowed values.
2. Check compatibility and consistency between questions per section and the various departments, and this to us ? E logical relations.
3. Tests based on certain relationships between the different questions, so that was extracted list Balastmarat is matched, review and identify the source of a bug where, if found there are errors in the input was adjusted immediately, and if there are errors, the field was being converted to field work to re-visit again , and correct errors in form, have included the stage of data cleaning in two stages: the stage of cleaning the survey data in terms of consistency and logic and linked to age and date of birth, educational status and other per capita, and consistency of questions of each section of the form of households, while the second stage have included the examination of consistency between the results of Questions Social Survey 2010 and Social Survey of Jerusalem in 2005. Surveys and other surveys such as the impact of expansion and annexation wall on the population, 2008, as well as the Labour Force Survey - third quarter 2010.
Input processing programs:
Program is designed input beam programming Access, entry screens have been designed and auditing as well as the tests have been developed through automated checking the input and then cleaning the rules of programming questions and to examine variables at the level of form.
Data entry:
After the completion of design input, testing and making sure readiness, started work on data entry and after the entrances have been trained to deal with the programs of the entry. Work began on the introduction of survey data as of 26/07/2010 until 28/11/2010. It was the number of entrances who worked on the introduction of statements 5 entrances at a minimum, where the number of employees to enter data commensurate with the flow of forms, note that the flow of the forms on the entry could not be uniform due to the difficulty of transportation because of security conditions, and was checking the forms returned from the entry of by the auditors to complete and re-adjusted and then re-entered its final form after their arrival from the field.
Check and clean the data:
Been cleaned data queries run tests and adjust input errors immediately. And re-forms containing errors form to the project manager to deal with them.
After the completion of the data entry process began work on the audit and examine the data as follows:
1. Check transitions, and allowed values.
2. Check compatibility and consistency between questions per section and the various departments, and this to us ? E logical relations.
3. Tests based on certain relationships between the different questions, so that was extracted list Balastmarat is matched, review and identify the source of a bug where, if found there are errors in the input was adjusted immediately, and if there are errors, the field was being converted to field work to re-visit again , and correct errors in form, have included the stage of data cleaning in two stages: the stage of cleaning the survey data in terms of consistency and logic and linked to age and date of birth, educational status and other per capita, and consistency of questions of each section of the form of households, while the second stage have included the examination of consistency between the results of Questions Social Survey 2010 and Social Survey of Jerusalem in 2005. Surveys and other surveys such as the impact of expansion and annexation wall on the population, 2008, as well as the Labour Force Survey - third quarter 2010.
Data Appraisal
Estimates of Sampling Error
Data were collected in a manner that the survey sample and not Balhsr destruction, so she is exposed to two main types of errors. The first sampling errors (statistical errors), and the second non-statistical errors. It is intended that sampling errors of the errors resulting from sample design, so it is easy to measure, the contrast has been calculated and the effect of sample design.
The non-statistical errors are possible to occur in every stage of project implementation, through data collection, inserting, and mistakes can be summarized by the non-response, and response errors (surveyed), and the mistakes of the interview (the researcher) and data-entry errors. To avoid errors and reduce the impact it has made significant efforts through the training of researchers extensive training, and the presence of a group of experts in the concepts and terminology, medical / health, and training on how to conduct interviews, and the things that must be followed during the interview, and the things that should be avoided.
Have been trained on the data entry program entry, program, and were examined in order to see the picture of the situation and reduce any problems, there was constant contact between supervisors and checkers through ongoing visits and periodic meetings. In addition, has been drafting a set of circulars and instructions reminder to the team. Also been circulated answers to questions and problems faced by the researchers during the field work.
As for office work have been trained crew to check the special forms and field detection of errors, which greatly reduces the rates of errors that can occur during field work. In order to reduce the proportion of errors that can occur during entry form to the computer, the software is designed to entry so as not to allow any errors Tnasagah can get during the process of input and contains many of the conditions Logical, where they were loading the program the input of many tests on private answers each question in addition to the relations between the different questions and testing the other logical. This process has led to the disclosure of most of the errors that are not found in previous phases of work, where they were correct all errors that have been discovered.
Data were evaluated according to the following areas:
1. Definition of family members and how to register.
2. Demographic characteristics that have a relationship on Christmas.
3. Breakdown of the profession and activity.
Methods of assessment vary according to the data subject in this survey include the following:
1. Occurrences of missing values and Answers "other" and "Do not know" and examine inconsistencies between different sections or between the date of birth and other sections. Add to examine the internal consistency of the data as part of a logical data and completeness.
2. Compared to survey data with the results of surveys of the relationship and by the Central Bureau of Statistics Palestinian implementation.
Can be summarized as sources of some non-statistical errors that have emerged during the implementation of the survey including the following:
Inability to meet the data in some cases the forms because of the lack of a home or be in the housing unit does not exist or are uninhabited and there are families not able to provide some data or refused to do so.
Some families did not take the form subject very seriously affecting the quality of the data provided.
Errors resulting from the method of asking the question by the researcher in the field.
Category understand the question and answer based on his understanding of it.
The inability of the technical team overseeing the project from the field visit on a regular basis for all duty stations in order to see the workflow and meet researchers and directing them, especially in the area J1.
There was difficulty in reaching the families because of the construction of the wall, especially in the Ram Area and also in the area of Bir Nabala where the switch was a full count area due to additional incompleteness caused by the absence of the families in the region because of the separation wall.
It was not easy to follow and adjust the time researchers because of the prevailing security conditions.
The non-statistical errors are possible to occur in every stage of project implementation, through data collection, inserting, and mistakes can be summarized by the non-response, and response errors (surveyed), and the mistakes of the interview (the researcher) and data-entry errors. To avoid errors and reduce the impact it has made significant efforts through the training of researchers extensive training, and the presence of a group of experts in the concepts and terminology, medical / health, and training on how to conduct interviews, and the things that must be followed during the interview, and the things that should be avoided.
Have been trained on the data entry program entry, program, and were examined in order to see the picture of the situation and reduce any problems, there was constant contact between supervisors and checkers through ongoing visits and periodic meetings. In addition, has been drafting a set of circulars and instructions reminder to the team. Also been circulated answers to questions and problems faced by the researchers during the field work.
As for office work have been trained crew to check the special forms and field detection of errors, which greatly reduces the rates of errors that can occur during field work. In order to reduce the proportion of errors that can occur during entry form to the computer, the software is designed to entry so as not to allow any errors Tnasagah can get during the process of input and contains many of the conditions Logical, where they were loading the program the input of many tests on private answers each question in addition to the relations between the different questions and testing the other logical. This process has led to the disclosure of most of the errors that are not found in previous phases of work, where they were correct all errors that have been discovered.
Data were evaluated according to the following areas:
1. Definition of family members and how to register.
2. Demographic characteristics that have a relationship on Christmas.
3. Breakdown of the profession and activity.
Methods of assessment vary according to the data subject in this survey include the following:
1. Occurrences of missing values and Answers "other" and "Do not know" and examine inconsistencies between different sections or between the date of birth and other sections. Add to examine the internal consistency of the data as part of a logical data and completeness.
2. Compared to survey data with the results of surveys of the relationship and by the Central Bureau of Statistics Palestinian implementation.
Can be summarized as sources of some non-statistical errors that have emerged during the implementation of the survey including the following:
Inability to meet the data in some cases the forms because of the lack of a home or be in the housing unit does not exist or are uninhabited and there are families not able to provide some data or refused to do so.
Some families did not take the form subject very seriously affecting the quality of the data provided.
Errors resulting from the method of asking the question by the researcher in the field.
Category understand the question and answer based on his understanding of it.
The inability of the technical team overseeing the project from the field visit on a regular basis for all duty stations in order to see the workflow and meet researchers and directing them, especially in the area J1.
There was difficulty in reaching the families because of the construction of the wall, especially in the Ram Area and also in the area of Bir Nabala where the switch was a full count area due to additional incompleteness caused by the absence of the families in the region because of the separation wall.
It was not easy to follow and adjust the time researchers because of the prevailing security conditions.
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.
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, 2011. Social Survey of Jerusalem, 2010. Main Findings. Ramallah – Palestine. V2.0 3-2011
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
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
©March, 2011. All rights reserved. Suggested Citation: Palestinian Central Bureau of Statistics, 2011. Social Survey of Jerusalem, 2010. Main Findings. Ramallah – Palestine.
Metadata production
DDI Document ID
DDI-PSE-PCBS-SSJ-2010-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | (PCBS) | Palestinian National Authority | Collection, processing and dissemination data |
Date of Metadata Production
2012-06-05
DDI Document version
V1.0