Labor Force Survey 2017
West Bank and Gaza, 2017
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WBG_2017_LFS_v01_M
Labor Force Survey 2017
| 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
2018-06-20
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 work force (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 |
Sampling
The sample of this survey is implemented periodically every quarter by PCBS since 1995, so this survey is implemented every quarter of the year (distributed over 13 weeks).
The sample is a 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 areas that contain less that 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 that 80 households were selected 8 households.
The estimated sample size in the first quarter is 7,616 households, 7,587 households in the second quarter, 7,525 households in the third quarter, and 7,502 households in the fourth quarter in 2017.
The response rate was 85.8% in 2017, and in quarters:
- First quarter 2017: 85.9%
- Second quarter 2017: 85.7%
- Third quarter 2017: 85.8%
- Fourth quarter 2017: 86.5%
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 2017 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 2017 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.
Survey instrument
The labor force survey 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.
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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 labor force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2017-01-01 | 2017-03-30 | First quarter 2017 |
| 2017-04-02 | 2017-06-29 | Second quarter 2017 |
| 2017-07-02 | 2017-09-28 | Third quarter 2017 |
| 2017-10-01 | 2017-12-28 | Fourth quarter 2017 |
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Re-interview and field visits
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 send 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.
Data processing
All questionnaires were edited after data entry in order to minimize errors related data entry.
Data appraisal
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.
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
Palestinian Central Bureau of Statistics
Palestinian Central Bureau of Statistics
https://www.pcbs.gov.ps/PCBS-Metadata-en-v4.3/index.php/catalog/652
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | www.pcbs.gov.ps | diwan@pcbs.gov.ps |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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. |
Palestinian Central Bureau of Statistics, Labor Force Survey 2017. V 1.0 (04-2018). Ramallah - Palestine.
Disclaimer and copyrights
(c) All Rights Reserved. Palestinian Central Bureau of Statistics, 2017
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_2017_LFS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | Documentation of the DDI |
2021-08-25
Metadata version
Version 01 (August 2021). Edited version based on the original version: DDI-PSE-PCBS-LFS-2016-V1.0, that was produced by the Palestinian Central Bureau of Statistics. The DDI ID and Study ID fields were edited.