Labor Force Survey 2022
West Bank and Gaza, 2022 - 2023
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Reference ID
PSE-PCBS-LFS-2022-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Created on
Jul 24, 2023
Last modified
Jul 24, 2023
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Identification
Survey ID Number
PSE-PCBS-LFS-2022-V1.0
Title
Labor Force Survey 2022
Translated Title
مسح القوى العاملة 2022
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Labor Force Survey [hh/lfs]
Series Information
The main objective of collecting data on the Palestinian labour force in 2022 for the rounds numbers (104-107) including components of employment, unemployment and time related underemployment, is to provide basic information on the relative size and structure of the Palestinian labour force.
Data collected at different points in time provide a basis for monitoring current trends and changes in the labour market and in employment. These data supported with information on other aspects of the economy provide a basis for the evaluation and analysis of macro-economic policies.
Data collected at different points in time provide a basis for monitoring current trends and changes in the labour market and in employment. These data supported with information on other aspects of the economy provide a basis for the evaluation and analysis of macro-economic policies.
Abstract
Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Individual.
Version
Version Description
Version 1.0 dataset for public distribution
Version Date
2022-05-28
Scope
Notes
LFS survey provides data on labour force, covering standard classifications, economic activity, occupation, employment status, and other related variables, as well as the demographic characteristics of the work force (population aged 15 years and above)
Coverage
Geographic Coverage
The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp)
Universe
The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Core Funding Group | CFG |
Other Identifications/Acknowledgments
| Name | Affiliation |
|---|---|
| Core Funding Group | CFG |
Sampling
Sampling Procedure
The sample of this survey is implemented periodically every quarter by PCBS since 1995, where this survey is implemented every quarter in the year (distributed over 13 weeks).
The sample is a two-stage stratified cluster sample with two stages:
First stage: selection of a stratified sample of 536 EA with (pps) method.
Second stage: selection of a random area sample of 15 households from each enumeration area selected in the first stage.
The estimated sample size in each quarter was 8,040 households in 2022.
The sample is a two-stage stratified cluster sample with two stages:
First stage: selection of a stratified sample of 536 EA with (pps) method.
Second stage: selection of a random area sample of 15 households from each enumeration area selected in the first stage.
The estimated sample size in each quarter was 8,040 households in 2022.
Response Rate
The response rate was 68.2% in the fourth quarter 2022
The response rate was 85.6% in 2022
The response rate was 86.1% in the first quarter 2022
The response rate was 85.7% in the third quarter 2022
The response rate was 84.7% in the second quarter 2021
The response rate was 85.6% in 2022
The response rate was 86.1% in the first quarter 2022
The response rate was 85.7% in the third quarter 2022
The response rate was 84.7% in the second quarter 2021
Weighting
The weight of statistical units (sampling units) 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. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area (a systematic random sample). 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. Final household weights were obtained after adjustment of initial weights with the household estimates of census 2017 with regard to design strata (governorate, locality type).
For individuals over 10 years, we added the final household weight for each person, then adjusted the initial individual weight with the estimates of individuals of the middle of 2022 according to region (West Bank, Gaza Strip), sex ( male, female), five -year age groups (14 groups), then we obtained the final adjusted individual weight.
For individuals over 10 years, we added the final household weight for each person, then adjusted the initial individual weight with the estimates of individuals of the middle of 2022 according to region (West Bank, Gaza Strip), sex ( male, female), five -year age groups (14 groups), then we obtained the final adjusted individual weight.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2022-01-02 | 2022-04-02 | first quarter 2022 |
| 2022-04-03 | 2022-07-02 | second quarter 2022 |
| 2022-07-03 | 2022-10-01 | third quarter 2022 |
| 2022-10-02 | 2023-01-01 | fourth quarter 2022 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2022-01-01 | 2022-03-31 | firstquarter 2022 |
| 2022-04-01 | 2022-06-30 | second quarter 2022 |
| 2022-07-01 | 2022-09-30 | third quarter 2022 |
| 2022-10-01 | 2022-12-31 | fourth quarter 2022 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
Re-interview
Field visits
Field visits
Data Collection Notes
PCBS started collecting data since 1st quarter 2013 using the hand held devices in Palestine excluding Jerusalem (J1) and Gaza Strip, the program used in HHD called Sql Server and Microsoft dot Net which was developed by General Directorate of Information Systems, with beginning 1st quarter 2016, collecting data by using PC-tablet devices in West Bank (excluding Jerusalem (J1)) and Gaza Strip.
Using PC-tablet devices reduced the data processing stages, the fieldworkers collect data and sending data directly to server then the project manager can withdrawal the data at any time he needs.
In order to work in parallel with Jerusalem (J1), an office program was developed using the same techniques by using the same database for the PC-tablet devices.
Using PC-tablet devices reduced the data processing stages, the fieldworkers collect data and sending data directly to server then the project manager can withdrawal the data at any time he needs.
In order to work in parallel with Jerusalem (J1), an office program was developed using the same techniques by using the same database for the PC-tablet devices.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
The lfs questionnaire consists of four main sections:
Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.
Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.
Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.
Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.
Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.
Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.
Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Data Processing
Data Editing
All questionnaires were edited after data entry in order to minimize errors related data entry.
Data Appraisal
Estimates of Sampling Error
Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and at the level of governorates of the West Bank and Gaza Strip.
Data Appraisal
The concept of data quality encompasses various aspects, started with planning of the survey to how to publish, understand and benefit from the data. The most important components of statistical quality elements are accuracy, comparability and quality control procedures
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| Mail office | 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,Labor Force Survey 2022 . V 1.0 (05-2023). 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, 2022
Metadata production
DDI Document ID
DDI-PSE-PCBS-LFS-2022-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
2022-05-29
DDI Document version
Version 1.0