Labor Force Survey 2016
West Bank and Gaza, 2016 - 2017
Get MicrodataIdentification
WBG_2016_LFS_v01_M
Labor Force Survey 2016
| Name | Country code |
|---|---|
| West Bank and Gaza | WBG |
Labor Force Survey [hh/lfs]
The main objective of collecting data on the Palestinian labor force including components of employment, unemployment and time related underemployment, is to provide basic information on the relative size and structure of the Palestinian labor force.
Data collected at different points in time provide a basis for monitoring current trends and changes in the labor 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.
Focuses mainly on labor force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside the labor force, labor 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.
Sample survey data [ssd]
- Household
- Individual
Version
Version 1.0 dataset for public distribution
2017-04-30
Scope
LFS survey provides data on labor force, covering standard classifications, economic activity, occupation, employment status, and other related variables, as well as the demographic characteristics of the workforce (population aged 15 years and above)
| Topic | Vocabulary | URI |
|---|---|---|
| Employment [3.1] | CESSDA | http://www.nesstar.org/rdf/common |
| Unemployment [3.5] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
The data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates.
The survey covered all the Palestinian persons aged 10 years and above who are usual residents in the State of Palestine.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
| Name |
|---|
| Core Funding Group |
| Name |
|---|
| Core Funding Group |
Sampling
The sample of this survey is implemented periodically every quarter by PCBS since 1995, so this survey is implemented every quarter in the year (distributed over 13 weeks).
The sample is two stage stratified cluster sample with two stages:
- First stage: we select a systematic random sample of 494 enumeration areas for the whole round, and excluded enumeration area that contain less than 40 households.
- Second stage: we select a random area sample of average 16 households from each enumeration area selected in the first stage, from each region where the number of households counted 80 households or more, while enumeration areas contain less than 80 households were selected 8 households.
The estimated sample size in the first and the second quarter is 7,616 households in 2016, while 7,603 households in the third and the fourth quarter in 2016.
The response rate was 86.7% in 2016, and in quarters:
First quarter 2016: 87.7%
Second quarter 2016: 86.4%
Third quarter 2016: 86.7%
Fourth quarter 2016: 86.0%
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 two stage stratified cluster sample, so In the first stage, we calculate the weight of enumeration areas which depending on the probability of each enumeration area (a systematic random sample), then in the second stage we calculate weight of households in each enumeration area, Initial households weights resulted from product of weight of first stage and weight of second stage, final households weights obtained after adjustment of initial weights with the households estimates of the middle of each quarter of the year 2016 on the level of design strata (governorate, locality type).
For the 10 years and over persons file we add the final household weight for each person, then we adjust the initial person weight with the persons estimates of the middle of each quarter of the year 2016 on the level of Region (West bank, Gaza strip), Sex (male, female), Five -year age groups (15 groups) then we obtain the final adjusted person weight.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2016-01-10 | 2016-04-07 | First quarter |
| 2016-04-10 | 2016-07-07 | Second quarter |
| 2016-07-10 | 2016-10-03 | Third quarter |
| 2016-10-06 | 2017-01-05 | Fourth quarter |
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Re-interview and field visits.
PCBS started collecting data since the 1st quarter of 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 the beginning of the 1st quarter of 2016, data was collected using PC-tablet devices in West Bank (excluding Jerusalem (J1)) and Gaza Strip.
Using PC-tablet devices reduced the data processing stages, the fieldworkers collected data and sent the data directly to the server then the project manager can withdraw 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.
Access policy
Palestinian Central Bureau of Statistics
Palestinian Central Bureau of Statistics
https://www.pcbs.gov.ps/PCBS-Metadata-en-v4.3/index.php/catalog/651
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | www.pcbs.gov.ps | diwan@pcbs.gov.ps |
| Confidentiality declaration text |
|---|
| 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. |
-
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.
-
Utilization of “data” or any copies thereof is limited to personal computers normally .
-
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.
Palestinian Central Bureau of Statistics, Labor Force Survey 2016 . V 1.0 (04-2017). Ramallah - Palestine.
Disclaimer and copyrights
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.
(c) All Rights Reserved. Palestinian Central Bureau of Statistics, 2016
Contacts
| Name | Affiliation | |
|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps |
| Mail office | Palestinian Central Bureau of Statistics | Diwan@pcbs.gov.ps |
Metadata production
DDI_WBG_2016_LFS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | Production of the DDI and dissemination of the data |
2021-09-09
Metadata version
Version 01 (September 2021). This DDI version is based on version DDI-PSE-PCBS-LFS-2016-V1.0 that was produced by the Palestinian Central Bureau of Statistics. The following fields were edited from the intial version: DDI ID, Study ID and the Data Collection field.