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    Home / Central Data Catalog / SOCIO-ECONOMIC-CONDITIONS / PSE-PCBS-SEFSEC-2016-VI.0
Socio-Economic-Conditions

Socio-Economic Conditions Survey 2016

West Bank and Gaza, 2016
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Reference ID
PSE-PCBS-SEFSEC-2016-VI.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Socio-Economic Conditions
Metadata
DDI/XML JSON
Created on
Feb 14, 2022
Last modified
May 21, 2023
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  • Study Description
  • Data Description
  • Downloads
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Data Processing
  • Data Appraisal
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
PSE-PCBS-SEFSEC-2016-VI.0
Title
Socio-Economic Conditions Survey 2016
Translated Title
مسح مراقبة الظروف الاجتماعية والاقتصادية 2016
Country
Name Country code
Palestine PSE
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
The survey of monitoring social and economic conditions is one of the most important areas of work for Palestinian official statistics, and since the main task of the Palestinian Central Bureau of Statistics is to keep pace with the conditions experienced by the Palestinian society and provide data on the most important trends and changes that occur in social and economic indicators, work on this survey came in response to meeting the needs of Users of statistical data in the social and economic fields
Where the implementation of the survey started from the year 2009 and the survey was carried out 6 times, the last of which was in 2016
Abstract
The survey of monitoring social and economic conditions is one of the most important areas of work for Palestinian official statistics, and since the main task of the Palestinian Central Bureau of Statistics is to keep pace with the conditions experienced by the Palestinian society and provide data on the most important trends and changes that occur in social and economic indicators, work on this survey came in response to meeting the needs of Users of statistical data in the social and economic fields
Where the implementation of the survey started from the year 2009 and the survey was carried out 6 times, the last of which was in 2016
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households, and individuals

Version

Version Description
V0.1: public use file
Version Date
2017-04-15

Scope

Notes
Identification Data.
Quality Control Data.
Household Members Data.
Housing Data.
Assistance and Coping Strategies Data
Food diversity and facing food shortage Data.
Income.
Agriculture and Livestock Data.
Freedom of movement Data.
Topics
Topic Vocabulary URI
social exclusion [12.9] CESSDA Link
Keywords
Keyword Vocabulary URI
Household Consumption Glossary of Statistical Terms Glossary of Statistical Terms Used in PCBS, 2019 Link
Spending: Glossary of Statistical Terms Glossary of Statistical Terms Used in PCBS, 2019 Link
Household Glossary of Statistical Terms Glossary of Statistical Terms Used in PCBS, 2019 Link
Income Glossary of Statistical Terms Glossary of Statistical Terms Used in PCBS, 2019 Link

Coverage

Geographic Coverage
1- Governorate (16 governorates, 11 governorates in the West Bank and 5 governorates in the Gaza Strip).
2- The type of locality (urban, rural, camp).
3-Area C (area C, not C)
Universe
All households who are living normally in Palestine at the time of implementing the survey.

Producers and sponsors

Primary investigators
Name Affiliation
Palestinian Central Bureau of Statistics State of Palestine
Producers
Name Affiliation Role
World Bank UN Technical assistance
Funding Agency/Sponsor
Name Abbreviation Role
State of Palestine PNA Financing the survey
World Bank WB Financing the survey
Other Identifications/Acknowledgments
Name Affiliation Role
State of Palestine PNA Financing the survey
World Bank WB Financing the survey

Sampling

Sampling Procedure
Sampling Frame:
Sample frame is the list of all households who are staying in Palestine, there addresses are recorded in statistical enumeration(average of 124 households) areas in addition to the building numbers and housing units depending on the 2007 Census in Palestine. The sampling frame contains all the auxiliary and identification data which help to create the strata and to allocate the sample.



Sample Size:
The sample size is 3278 household for Palestine level, 2204 household responded.

Sample design:

Sample type:
Two Stage Stratified cluster sample where:
1. the first stage : selection of a PPS random sample of 111 Enumeration Areas (probability proportional to the size)
2. The second stage: selection systematic random sample of 20 households in each selected enumeration area in the first stage.
Deviations from the Sample Design
There are no deviations in the proposed sample design
Response Rate
The survey sample consisted of 3278 households, of which 2204 households completed the interview: 1264 households from the West Bank and 940 households in the Gaza Strip. Weights were modified to account for the non-response rate.
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 a two-stage stratified cluster sample. In the first stage we calculate the weight of enumeration areas based on the probability of each enumeration area. 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. The final household weights were obtained after adjustment of the initial weights with the household estimates for mid-2016 according to design strata (governorate, locality type).

Weights for the ROSTER file were calculated as follows:
1-adding the household weights (wh) for each person per household, known as the primary weight of person.
2-adjusting the primary person weights in relation to the number of population in December - 2016 by these adjusted levels: (region (West Bank, Gaza Strip), (gender (male, female), 17-year age group.
3-Finally, we obtain the final person weight in each adjusted level which the person belongs to.

Data Collection

Dates of Data Collection
Start End
2016-11-16 2016-12-20
Time periods
Start date End date
2016-11-16 2016-12-20
Data Collection Mode
Face-to-face [f2f]
Supervision
Data Collection
Field work started on 16/11/2016 and lasted until 20/12/2016. Field work teams were distributed to all districts in proportion to the sample size of each governorate. The field work team consisted of 43 members, including 6 supervisors, 7 editors and 30 interviewers.

Response Rate
The survey sample consisted of 3278 households, of which 2204 households completed the interview: 1264 households from the West Bank and 940 households in the Gaza Strip. Weights were modified to account for the non-response rate.
Data Collection Notes
Field work started on 16/11/2016 and lasted until 20/12/2016. Field work teams were distributed to all districts in proportion to the sample size of each governorate. The field work team consisted of 43 members, including 6 supervisors, 7 editors and 30 interviewers.
Data Collectors
Name Abbreviation Affiliation
Palestinian Central Bureau of Statistics PCBS State of Palestine

Questionnaires

Questionnaires
A special questionnaire was designed in accordance with high quality statistical standards and best practices recommendations; the questionnaire is consist of the following fields:
Part one: Identification Data.
Part two: Quality Control Data.
Part three: Household Members Data.
Part four: Housing Data.
Part five: Assistance and Coping Strategies Data
Part six: Food diversity and facing food shortage Data.
Part seven: Income.
Part eight: Agriculture and Livestock Data.
Part nine: Freedom of movement Data.

Data Processing

Data Editing
The data was computed and processed using the ACCESS and SPSS packages. The data entry process was organized into two files that represent the main parts of the form. The design of the input program used took into account the development of relationships between the form data to control the data and discover errors.

Data Appraisal

Estimates of Sampling Error
Sampling rather than comprehensive enumeration has been used to collect data in this survey. Therefore it is liable to two types of errors affecting the quality of survey data, sampling (sampling errors) and non-sampling errors (non-sampling errors). sampling errors mean the errors resulting from sample designing and this is computed simply. Variance and effect of sample design has been computed for the Palestinian Territory, the West Bank and Gaza Strip.
Data Appraisal
Non-sampling errors, on the other hand, could not be determined easily, due to the diversity of sources from which they may arise, e.g., the interviewer, respondent, editor, coder, and data entry operator.
However, several measures were adopted to minimize the effects of non-sampling errors on the data. To avoid errors and reducing their effects, the interviewers, editors, and coders

Access policy

Contacts
Name Affiliation Email URL
Division of user services Palestinian Central Bureau of Statistics Dus@pcbs.gov.ps www.pcbs.gov.ps
diwan 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.
Citation requirements
Palestinian Central Bureau of Statistics, 2016. Socio-Economic Conditions Survey, V1.0. ( 2017 )
Ramallah - Palestine.
Access authority
Name Affiliation Email 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, (2016)

Metadata production

DDI Document ID
DDI-PSE-PCBS-SEFSEC-2016-VI.0
Producers
Name Abbreviation Affiliation Role
Palestinian Central Bureau of Statistics PCBS State of Palestine Collection, processing and dissemination data
Date of Metadata Production
2022-01-09
DDI Document version
V1.0
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