The Labor Force Surveys constitute one of the basic statistical surveys that have been implemented by the PCBS since 1995, which includes a series of sample statistical surveys aimed to identify the reality of the Palestinian labor market. Such surveys also provide sufficient data essential for policy making and developing employment levels in the Palestinian Territory. In addition, this series aims to build a database that enables researchers, planners and decision makers to identify changes in the labor market from a year to another and carry out comparisons among similar seasons in different consecutive years.
The main objective of collecting data on the Palestinian Labour Force Survey 1999 (Third Quarter) including components of employment, unemployment and 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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Individual aged 10 years and above
The survey covered the following topics:
- Identification Information
- Quality Control
- Household Roster
Producers and sponsors
Palestinian Central Bureau of Statistics (PCBS)
Palestinian National Authority
Palestinian National Authority
Funding the study
The sampling frame consisted of a master sample of enumeration areas (EAs) selected from the population housing and establishment census 1997, the master sample consists of area units of relatively equal size (number of households) , these units have been used as primary sampling units (PSUs).
The sample is a two-stage stratified cluster random sample.
All Palestinians aged 15 years and above living in the Palestinian Territories, excluding persons living in institutions such as prisons or shelters.
Four levels of stratification:
1. Stratification by Governorates.
2. Stratification by place of residence which comprises:
(a) Urban, (b) Rural, (c) Refugee Camps
3. Stratification by classifying localities, excluding governorate capitals, into three strata based on the ownership of households within these localities of durable goods.
4. Stratification by size of locality (number of households).
First stage sampling units are the area units (EAs) in the master sample. The second stage sampling units are households.
The sample size in the third quarter/ round 14 (July 1999 - September 1999) was 7,559 around (29,649 persons of working age). The sample is distributed over 481 enumeration areas.
Target cluster size:
The next important issue in sample design is the target cluster size or "sample-take," the number of households to be selected per PSU on the average. In this survey households have been selected from 481 master sample areas. Therefore, the sample take was around 16 households.
Each round of the LFS covered all the 481 master sample areas. Basically, the areas remain fixed over time, but households in 50% of the EAs are replaced each round. The same household remains in the sample over 2 consecutive rounds, rests for the next two rounds and comes back to the sample for another and last two consecutive rounds before it is dropped from the sample. A 50 % overlap is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring trends).
In earlier applications of the LFS; the rotation pattern used was different; requiring a household to remain in the sample for six consecutive rounds, then dropped. The objective of such a pattern is to increase overlap between consecutive rounds, the new rotation pattern is introduced to reduce the burden on the households resulted from visiting the same household for six consecutive times.
- Response rate in the third quarter was 92.2%
Dates of Data Collection
Data Collection Mode
Data Collection Notes
Training and Recruitment:
The purpose of the training courses were to provide participants with the main skills needed to conduct interviews. Two training courses were held, one in Ramallah for West Bank trainees, and one in Gaza City for Gaza Strip trainees. Each course consisted of two parts: one on survey methodology including survey design, questionnaire design, interviewing techniques, and field operations; and one part on the specifications of the labour force survey, including concepts and definitions, field work procedures, data collection, editing, coding, tips for asking questions and recording answers, as well as field team organization and field supervision. The training included lectures, exercises, as well as field exercises. The training continued for 3 days and 14 interviewers and 4 supervisors were trained.
The West Bank was divided into three regions (North, Middle, and South), each region was supervised by one field supervior. Each region consists of a number of districts and field work was carried out by one field work team which consisted of two interviewers.
Gaza Strip was also divided into three region (North, Middle and South). Field work activities were initiated in Gaza Strip by one field work team, each of which consisted of a supervisor, an editor and four interviewers.
Field work teams were distributed among all districts on the basis of sample size in each district. The number of LFS field work members amounted to 24 including the field work coordinator, four supervisors, four editors, and 15 interviewers including coders.
The week ending on Friday preceding the interviewer's visit to the household. Four quarter had been carried out at 1999, the first quarter covered the period (January - March), the second quarter covered the period (April - June), and the third quarter conered the perriod (July - September), and the last quarter covered the period (October - December).
Palestinian Central Bureau of Statistics
Palestinian National Authority
The survey questionnaire was designed according to the International Labour Organization (ILO) recommendations. The questionnaire includes four main parts:
1. 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.
2. 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).
3. Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level.etc.
4. Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 15 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 compiled in the context of labor force surveys involve individual and personal data. The confidentiality of such data is honored and safeguarded in accordance with Article (17) of the Palestinian General Statistical Law of 2000, which stipulates “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”.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.