Socio-Economic Conditions Survey 2020
West Bank and Gaza, 2020 - 2021
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Reference ID
PSE-PCBS-SEMP-2020-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Created on
Oct 31, 2021
Last modified
Oct 31, 2021
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Identification
Survey ID Number
PSE-PCBS-SEMP-2020-V1.0
Title
Socio-Economic Conditions Survey 2020
Translated Title
مسح مراقبة الظروف الاجتماعية والاقتصادية 2020
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 to provide data on the most important trends and changes in social and economic indicators, work on this survey came in response to meet the needs of Users of statistical data in the social and economic fields in line with the national policy agenda and the sustainable development agenda
Where the implementation of the survey started from the year 2009 and the survey was carried out 8 times, the last of which was in 2020
Where the implementation of the survey started from the year 2009 and the survey was carried out 8 times, the last of which was in 2020
Abstract
Socio-Economic Conditions Survey 2020 is a key Palestinian official statistical aspects; it also falls within the mandate of the Palestinian Central Bureau of Statistics (PCBS) to provide updated statistical data on the society conditions and provide data on the most important changes in socio-economic indicators and its trends. The survey came in response to users' needs for social and economic statistical data, and in line with the national policy agenda and the sustainable development agenda. The indicators of Socio-Economic Conditions Survey 2020 covers many socio-economic and environmental aspects, and establishes a comprehensive database on those indicators. its coverage of a set of sustainable development indicators that are considered as a national and international entitlement. The objective of this survey is to provide a comprehensive database on the most important changes that have taken place in the system of social and economic indicators that PCBS works on, which covers many socio-economic and environmental indicators. It also responds to the needs of many partners and users.The indicators that have been worked on in this survey cover the Demographic characteristics of household members, Characteristics of the housing unit where household lives, Household income, expenses, and consumption, Agricultural and economic activities of households, Methods used by households to withstand and adapt to their economic conditions, Availability of basic services to Palestinian households, Assistance received by households and assessment of such assistance, the needs of the Palestinian households to be able to withstand the conditions, the reality of the Palestinian individual's suffering and the quality of life, Sustainable development objectives. for the survey's relevant indicators.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households, and individuals
Version
Version Description
V0.1: public use file
Version Date
2021-09-15
Version Notes
There is no not
Scope
Notes
The scope that have been worked on in this survey cover the Demographic characteristics of household members, Characteristics of the housing unit where household lives, Household income, expenses, and consumption, Agricultural and economic activities of households, Methods used by households to withstand and adapt to their economic conditions, Availability of basic services to Palestinian households, Assistance received by households and assessment of such assistance, the needs of the Palestinian households to be able to withstand the conditions, the reality of the Palestinian individual's suffering and the quality of life, Sustainable development objectives. for the survey's relevant indicators.
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
National level: State of Palestine.
Region level: (West Bank, and Gaza Strip).
Region level: (West Bank, and Gaza Strip).
Universe
The target population includes all Palestinian households and individuals with regular residency in Palestine during the survey's period (2020). The focus was given to individuals aged 18 years and above to complete an annex to the questionnaire, designed for this age group.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Union of Agricultural Work Committees | Union of Agricultural Work Committees | Technical assistance |
| Food and Agriculture Organization | Food and Agriculture Organization | Technical assistance |
| World Food Program | World Food Program | Technical assistance |
| The Economic and Social Commission for Western Asia | The Economic and Social Commission for Western Asia | Technical assistance |
| The United Nations Relief and Works Agency | The Economic and Social Commission for Western Asia | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Food Program | WFP | Financing the survey |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Union of Agricultural Work Committees | Union of Agricultural Work Committees | Technical assistance |
| Food and Agriculture Organization | Food and Agriculture Organization | Technical assistance |
| World Food Program | World Food Program | Technical assistance and Financing the survey |
| The Economic and Social Commission for Western Asia | World Food Program | Technical assistance |
| The United Nations Relief and Works Agency | The United Nations Relief and Works Agency | Technical assistance |
Sampling
Sampling Procedure
The Sample of the survey is a three-stage stratified cluster systematic random sample of households residing in Palestine
Sampling Framework
The sampling frame consist of the Rule of Law and Access to Justice Survey in Palestine 2018 which originally based on the list of enumeration areas of the Population, Housing and Establishments Census 2017, with an average of about 150 households. These enumeration areas are used as primary sampling units (PSUs) in the first sampling selection stage.
Sample Size
3,623 families were reached at the national level, 2,461 households in the West Bank, and 1,162 households in the Gaza Strip. These households were contacted using the phone, 3,122 households responded to the survey.
Sample Design
Three-stage stratified cluster systematic random sample:
Stage I: Selection of a stratified cluster systematic random sample consisting of (161) enumeration areas.
Stage II: Selection (09-25) households from each enumeration area in the first stage in a stratified cluster systematic random. (Lists of the heads of households).
Stage III: A male and female member of each household in stage II were selected for among members aged 18 years and above, using Kish (multivariate) tables to fill in the questionnaire for household members aged 18 years and above. Taking into account that the household whose number is an even number in the sample of the enumeration area, we choose a female and the family whose number is an odd number we choose a male.
In Jerusalem (j1) area, a survey sample of 25 households is selected from each enumeration area in the first stage.
Sample Strata
The population was divided into the following strata:
1. Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967 (J1) as a separated stratum, and the Gaza Strip).
2. Locality type (urban, rural, camp).
3. Area C (class C, non-C) as an implicit stratum.
Domains
1. Region level: (North of the West Bank, Middle of the West Bank and South of the West Bank).
2. The location of the Annexation wall and Isolation (inside the wall, outside the wall).
3. Locality type (urban, rural, camp).
4. Refugee status (refugee, non-refugee).
5. Sex (male, female).
6. Area C (class C, non-C).
Sampling Framework
The sampling frame consist of the Rule of Law and Access to Justice Survey in Palestine 2018 which originally based on the list of enumeration areas of the Population, Housing and Establishments Census 2017, with an average of about 150 households. These enumeration areas are used as primary sampling units (PSUs) in the first sampling selection stage.
Sample Size
3,623 families were reached at the national level, 2,461 households in the West Bank, and 1,162 households in the Gaza Strip. These households were contacted using the phone, 3,122 households responded to the survey.
Sample Design
Three-stage stratified cluster systematic random sample:
Stage I: Selection of a stratified cluster systematic random sample consisting of (161) enumeration areas.
Stage II: Selection (09-25) households from each enumeration area in the first stage in a stratified cluster systematic random. (Lists of the heads of households).
Stage III: A male and female member of each household in stage II were selected for among members aged 18 years and above, using Kish (multivariate) tables to fill in the questionnaire for household members aged 18 years and above. Taking into account that the household whose number is an even number in the sample of the enumeration area, we choose a female and the family whose number is an odd number we choose a male.
In Jerusalem (j1) area, a survey sample of 25 households is selected from each enumeration area in the first stage.
Sample Strata
The population was divided into the following strata:
1. Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967 (J1) as a separated stratum, and the Gaza Strip).
2. Locality type (urban, rural, camp).
3. Area C (class C, non-C) as an implicit stratum.
Domains
1. Region level: (North of the West Bank, Middle of the West Bank and South of the West Bank).
2. The location of the Annexation wall and Isolation (inside the wall, outside the wall).
3. Locality type (urban, rural, camp).
4. Refugee status (refugee, non-refugee).
5. Sex (male, female).
6. Area C (class C, non-C).
Deviations from the Sample Design
There are no deviations in the proposed sample design
Response Rate
3,623 representative households was reached. Number of responded households (3,122) including (2,104) in the West Bank and (1,018) in Gaza Strip. Weights were adjusted with the design strata to compensate for the rate of refusal and non-response.
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 three-stage stratified cluster systematic random 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. Then we adjusted the initial weight by producing the initial weight and the attrition factor (attrition from the sample). The final household weights were obtained after adjustment of the initial weights with the household estimates for mid-2020 according to design strata (governorate, locality type).
In the third stage, the final households weight is merged into the household member file (roster) by giving each individual/member his/her household final weight, which is the individuals/member's initial weight. Then these weights are adjusted based on population estimates in mid-December 2020, and the modification category is the region (West Bank, Gaza Strip), gender (male, female) and five age groups (17 groups) and thus we get the final weight of the individual.
Then these weights are combined for the file of individuals 18 years and above, and find the product of the weight of each individual/member (the final weight of the individual from the roster) by the number of qualified individuals /member's 18 years and above in this household, so we get the weight of the initial individual/member in the file of individuals/member's 18 years and above, then these weights are modified once Others, based on population estimates mid-December 2020, and the adjustment category is the region (West Bank, Gaza Strip), gender (male, female) and five-year age groups (14 groups) and thus we get the final weight of the individual/member. The relative weight of each sampling unit was calculated by dividing the weight by the average weights of all files.
In the third stage, the final households weight is merged into the household member file (roster) by giving each individual/member his/her household final weight, which is the individuals/member's initial weight. Then these weights are adjusted based on population estimates in mid-December 2020, and the modification category is the region (West Bank, Gaza Strip), gender (male, female) and five age groups (17 groups) and thus we get the final weight of the individual.
Then these weights are combined for the file of individuals 18 years and above, and find the product of the weight of each individual/member (the final weight of the individual from the roster) by the number of qualified individuals /member's 18 years and above in this household, so we get the weight of the initial individual/member in the file of individuals/member's 18 years and above, then these weights are modified once Others, based on population estimates mid-December 2020, and the adjustment category is the region (West Bank, Gaza Strip), gender (male, female) and five-year age groups (14 groups) and thus we get the final weight of the individual/member. The relative weight of each sampling unit was calculated by dividing the weight by the average weights of all files.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2020-12-09 | 2021-01-25 |
Time periods
| Start date | End date |
|---|---|
| 2020-12-09 | 2021-01-05 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Supervision
· Various levels of supervision and monitoring took place according to the following hierarchy:
- Fieldworkers: They collect data directly from households, through computer-assisted telephone interviews (CATI).
- Fieldwork supervisors: They carry out administrative and technical follow up on the fieldworkers team, and assign households to fieldworkers.
- Fieldwork coordinator: He/ She carries out administrative and technical follow up on the supervisors team in addition to checking the workflow data collection as planned.
· The follow-up and data extraction programs are designed through the web, where the project management can enter and view the various reports according to the powers given to them.
· Due to the use of tablets in the collection of data, automated databases direct editing was adopted during data collection in all stages to minimize errors since the system sends warning messages and error messages to fieldworkers requesting either amendment or verification of data.
· Because of the particular situation of the Jerusalem Governorate, especially Area J1, those parts of Jerusalem, which were annexed by Israeli occupation in 1967, a different methodology for data collection was adopted, where paper questionnaire was used, and the editors edited the questionnaire in a formal and technical manner according to the pre-prepared edit rules.
- Fieldworkers: They collect data directly from households, through computer-assisted telephone interviews (CATI).
- Fieldwork supervisors: They carry out administrative and technical follow up on the fieldworkers team, and assign households to fieldworkers.
- Fieldwork coordinator: He/ She carries out administrative and technical follow up on the supervisors team in addition to checking the workflow data collection as planned.
· The follow-up and data extraction programs are designed through the web, where the project management can enter and view the various reports according to the powers given to them.
· Due to the use of tablets in the collection of data, automated databases direct editing was adopted during data collection in all stages to minimize errors since the system sends warning messages and error messages to fieldworkers requesting either amendment or verification of data.
· Because of the particular situation of the Jerusalem Governorate, especially Area J1, those parts of Jerusalem, which were annexed by Israeli occupation in 1967, a different methodology for data collection was adopted, where paper questionnaire was used, and the editors edited the questionnaire in a formal and technical manner according to the pre-prepared edit rules.
Data Collection Notes
Field Operations
Field operations are the actual survey work conducted to collect data required from primary sources. Careful attention must be paid to details in this stage to provide all technical and administrative needs including recruitment and training, provision of material needs for the best performance possible of work.
Training and Appointment
In preparation to implement the survey according to the plan, training session was organized at the headquarters of PCBS in the West Bank and in Gaza Strip office through the video conference technology and in conjunction with the West Bank team. The training lasted for 5 days during the period 22-26/11/2020, where it included theoretical lectures in which fieldworkers and field supervisors were trained on various field operations in general before the start of the survey, in order to provide them with the basic skills needed to collect information and to consolidate the concepts and definitions contained in the questionnaire, the mechanism of completing the questionnaire, in addition to the mechanism and technique of conducting interviews in the field and ways of dealing with developments faced by the team at fieldwork.
Training on the practical side also was included in the training program, where the work was to train fieldworkers and field supervisors were trained to collect survey data by conducting computer-assisted telephone interviews (CATI) in both the West Bank and Gaza Strip, which is one of the techniques of telephone surveys. The interview were conducted with the respondent in the form of a telephone conversation, and the interview was managed through an application on the tablet device that reflects the survey questionnaire. In Jerusalem (J1), the data were collected using the traditional paper questionnaire.
The fieldwork team (supervisors and fieldworkers) was appointed based on the highest marks in the results of the daily exams, the final exam and the commitment to attend at the end of the training course.
Data collection
The data of the Socio-Economic Conditions of the Palestinian Households Survey, 2020 were collected through computer-assisted telephone interviews (CATI) in both the West Bank and the Gaza Strip, except for Jerusalem Governorate (J1), where the traditional paper questionnaire method was used due to its specificity, and the application was designed according to a supported survey questionnaire with automated audit rules to check the logicality and consistency of the data, as well as supported by alert or warning messages in the event of illogical and consistency in the data. As for the Jerusalem Governorate questionnaire (J1), its data were entered on computers in the entry hall at the headquarters, and the same application that was designed was used for tablets.
Data collection started on 09/12/2020 and data collection was completed in all governorates on 25/01/2021.
The Arabic language was used in the interview
Field operations are the actual survey work conducted to collect data required from primary sources. Careful attention must be paid to details in this stage to provide all technical and administrative needs including recruitment and training, provision of material needs for the best performance possible of work.
Training and Appointment
In preparation to implement the survey according to the plan, training session was organized at the headquarters of PCBS in the West Bank and in Gaza Strip office through the video conference technology and in conjunction with the West Bank team. The training lasted for 5 days during the period 22-26/11/2020, where it included theoretical lectures in which fieldworkers and field supervisors were trained on various field operations in general before the start of the survey, in order to provide them with the basic skills needed to collect information and to consolidate the concepts and definitions contained in the questionnaire, the mechanism of completing the questionnaire, in addition to the mechanism and technique of conducting interviews in the field and ways of dealing with developments faced by the team at fieldwork.
Training on the practical side also was included in the training program, where the work was to train fieldworkers and field supervisors were trained to collect survey data by conducting computer-assisted telephone interviews (CATI) in both the West Bank and Gaza Strip, which is one of the techniques of telephone surveys. The interview were conducted with the respondent in the form of a telephone conversation, and the interview was managed through an application on the tablet device that reflects the survey questionnaire. In Jerusalem (J1), the data were collected using the traditional paper questionnaire.
The fieldwork team (supervisors and fieldworkers) was appointed based on the highest marks in the results of the daily exams, the final exam and the commitment to attend at the end of the training course.
Data collection
The data of the Socio-Economic Conditions of the Palestinian Households Survey, 2020 were collected through computer-assisted telephone interviews (CATI) in both the West Bank and the Gaza Strip, except for Jerusalem Governorate (J1), where the traditional paper questionnaire method was used due to its specificity, and the application was designed according to a supported survey questionnaire with automated audit rules to check the logicality and consistency of the data, as well as supported by alert or warning messages in the event of illogical and consistency in the data. As for the Jerusalem Governorate questionnaire (J1), its data were entered on computers in the entry hall at the headquarters, and the same application that was designed was used for tablets.
Data collection started on 09/12/2020 and data collection was completed in all governorates on 25/01/2021.
The Arabic language was used in the interview
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
The questionnaire is the key tool for data collection. It must be conforming to the technical characteristics of fieldwork to allow for data processing and analysis. The survey questionnaire comprised the following parts:
· Part one: Identification data.
· Part two: Quality control
· Part three: Data of households' members and social data.
· Part four: Housing unit data
· Part five: Assistance and Coping Strategies Information
· Part six: Expenditure and Consumption
· Part seven: Food Variation and Facing Food Shortage
· Part eight: Income
· Part nine: Agricultural and economic activities.
· Part ten: Freedom of mobility
· In addition to a questionnaire for individuals (18 years old and above): it includes questions related to the Food Insecurity Experience Scale (FIES), assessment of health, education, administration (Ministry of the Interior) services, and tobacco use.
The language used in the questionner is Arabic with an English questionner
· Part one: Identification data.
· Part two: Quality control
· Part three: Data of households' members and social data.
· Part four: Housing unit data
· Part five: Assistance and Coping Strategies Information
· Part six: Expenditure and Consumption
· Part seven: Food Variation and Facing Food Shortage
· Part eight: Income
· Part nine: Agricultural and economic activities.
· Part ten: Freedom of mobility
· In addition to a questionnaire for individuals (18 years old and above): it includes questions related to the Food Insecurity Experience Scale (FIES), assessment of health, education, administration (Ministry of the Interior) services, and tobacco use.
The language used in the questionner is Arabic with an English questionner
Data Processing
Data Editing
Data processing was done in different ways including:
Programming Consistency Check
1. Tablet applications were developed in accordance with the questionnaire's design to facilitate collection of data in the field. The application interfaces were made user-friendly to enable fieldworkers collect data quickly with minimal errors. Proper data entry tools were also used to concord with the question including drop down menus/lists.
2. The application was examined by all members of the technical committee, and all comments were modified in addition to updates, and the transition between questions. It was also ensured that all audit rules were applied to the survey program, and the final version of the application was provided on time.
3. Develop automated data editing mechanism consistent with the use of technology in the survey and uploading the tools for use to clean the data entered into the database and ensure they are logic and error free as much as possible. The tool also accelerated conclusion of preliminary results prior to finalization of results.
4. In order to work in parallel with Jerusalem (J1) in which the data was collected in paper, the same application that was designed on the tablets was used to enter their data as the software was downloaded on the devices after the completion of the editing of the questionnaires.
Data Cleaning
1. Concurrently with the data collection process, a weekly check of the data entered was carried out centrally and returned to the field for modification during the data collection phase and follow-up. The work was carried out thorough examination of the questions and variables to ensure that all required items are included, and the check of shifts, stops and range was done too.
2. Data processing was conducted after the fieldwork stage, where it was limited to conducting the final inspection and cleaning of the survey databases. Data cleaning and editing stage focused on:
· Editing skips and values allowed.
· Checking the consistency between different the questions of questionnaire based on logical relationships.
· Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, and reviewed toward identifying the source of the error case by case, where such errors were immediately modified and corrected based on the source of the error with the documentation process for the checks occurred on the questionnaire.
3. The SPSS program was used to extract and modify errors and discrepancies, to prepare clean and accurate data ready for scheduling and publishing.
Tabulation
After finishing from checking and cleaning any errors of data, tabulation was prepared for this purpose and extracted accordingly.
Programming Consistency Check
1. Tablet applications were developed in accordance with the questionnaire's design to facilitate collection of data in the field. The application interfaces were made user-friendly to enable fieldworkers collect data quickly with minimal errors. Proper data entry tools were also used to concord with the question including drop down menus/lists.
2. The application was examined by all members of the technical committee, and all comments were modified in addition to updates, and the transition between questions. It was also ensured that all audit rules were applied to the survey program, and the final version of the application was provided on time.
3. Develop automated data editing mechanism consistent with the use of technology in the survey and uploading the tools for use to clean the data entered into the database and ensure they are logic and error free as much as possible. The tool also accelerated conclusion of preliminary results prior to finalization of results.
4. In order to work in parallel with Jerusalem (J1) in which the data was collected in paper, the same application that was designed on the tablets was used to enter their data as the software was downloaded on the devices after the completion of the editing of the questionnaires.
Data Cleaning
1. Concurrently with the data collection process, a weekly check of the data entered was carried out centrally and returned to the field for modification during the data collection phase and follow-up. The work was carried out thorough examination of the questions and variables to ensure that all required items are included, and the check of shifts, stops and range was done too.
2. Data processing was conducted after the fieldwork stage, where it was limited to conducting the final inspection and cleaning of the survey databases. Data cleaning and editing stage focused on:
· Editing skips and values allowed.
· Checking the consistency between different the questions of questionnaire based on logical relationships.
· Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, and reviewed toward identifying the source of the error case by case, where such errors were immediately modified and corrected based on the source of the error with the documentation process for the checks occurred on the questionnaire.
3. The SPSS program was used to extract and modify errors and discrepancies, to prepare clean and accurate data ready for scheduling and publishing.
Tabulation
After finishing from checking and cleaning any errors of data, tabulation was prepared for this purpose and extracted accordingly.
Data Appraisal
Estimates of Sampling Error
Those errors result from studying part (sample) of the society and not all society units. Since the socio-economic conditions survey 2020 was conducted on a sample, sampling errors are expected to occur. To minimize sampling errors, a properly designed probability sample was used to calculate errors throughout the process. This means that for every unit of the society there is a probability to be selected in the sample. The variance was calculated to measure the impact on sample design for Palestine.
Data Appraisal
This standard is linked to the statistical product, since statistics must have comparative advantage with other sources and with other time periods. Many analyses are based on comparison. The data of the survey of 2020 were compared to the previous surveys data. Moreover, inconsistency between questions and the inconsistency of the data were examined as part of the review of logic and completion of the data.
Access policy
Contacts
| Name | Affiliation | 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.
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, 2021. Socio-Economic Conditions Survey, 2020 V1.0.
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, (2020).
Metadata production
DDI Document ID
DDI-PSE-PCBS-SEMP-2020-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine | Collection, processing and dissemination data |
DDI Document version
V1.0