Job Creation

Job Creation

The Department of Statistics (DoS) implements the Newly Created Job Opportunities Survey bi-annually. The survey covers 40,000 (forty thousand) households distributed all over the governorates of the Kingdom. The households were selected according to scientific principles using the Multi-Stage Cluster Stratified Sampling. It should be noted that the survey sample represents the Kingdom, governorates, three regions, urban / rural and Jordanians and non-Jordanians.

The survey is carried out through several stages as follows:
1. The Preparatory Stage: It includes the design and geographical preparation.
2. Field data Collection.
3. The Processing Stage: It covers edit and coding.
4. The Final Stage: extraction and dissemination of results.

The importance of this survey stems from the fact that it provides a recent statistical database on the size of new and lost jobs which helps researchers, planners and decision makers to develop policies in favour of the Jordanian labor market and also to provide information on supply and demand in the labor market.
It is worth mentioning that the Department of Statistics uses the tablet sets in data collection and processing and an electronic questionnaire instead of the paper format.

Survey Objectives

  1. Identify the demographic, social and economic characteristics of individuals aged 15 years and above who have undergone a change in their economic status.
  2. Identify the size of newly created job opportunities in the Jordanian labor market.
  3. Identify the work record of individuals who have had a change in their economic status during the reference period.
  4. Identify the professions and jobs created by the labor market.
  5. Identify the occupational structure, economic activity and work status of the individuals who have undergone a change in their economic status.

The sample of this survey is based on the frame provided by the results of the General Population and Housing Survey – 2015. The Kingdom was divided into strata. Each city with a population of more than 100,000 was considered a large city (total: 6 cities).Each governorate was divided (except the 6 large cities) into rural / urban where the rest of the urban in each province was considered an independent stratum … The same case applies to rural areas which was considered an independent stratum (total number of strata was 30).

Due to the large disparity in the socio-economic characteristics in large cities in particular and in urban areas in general, each stratum of major cities and urban areas was divided into four sub-strata according to the social and economic characteristics provided by the General Population and Housing Census in order to provide homogeneous strata. Residents living in remote areas (mostly nomads) were excluded from the frame in addition that the frame does not include collective dwellings (persons residing in hotels, hospitals, labor camps, prison inmates …etc.).

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Sample Design:

The sample of this survey was designed using a two-stage cluster sampling technique. A major sample was designed in 2017 based on the data of the General Population and Housing Census – 2015 for implementing the household surveys. The sample of this survey is representative at the level of the Kingdom, urban / rural, regions and governorates.

The total sample size was 1336 Primary Sampling Units (clusters). These units were distributed over the governorates, urban / rural and large cities in each governorate according to their weight in terms of the number of individuals and households and the variation within each stratum, with minor modifications to the number of sampling units so that they are multipliers of figure (8).

The main sample consists of 40 replicates, each of 167 primary sampling units. For the current survey, (8) eight replicates of the main sample were used. To ensure that the sample is well distributed, PSUs are arranged in each stratum according to geographic and socio-economic characteristics.

The sample was then selected in two stages: In the first stage, the sample of the PSUs was drawn in a method proportional to the size and drawn systematically, where the number of households in each PSU (cluster) is considered as its weight or size. In the second stage, the blocks of the Primary Sampling Units (clusters) selected in the first stage were updated, then a fixed number of households were selected using the Systematic Random Sampling Method as final sampling units (30 households) from each Primary Sampling Unit (cluster).

1. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by place of work and gender.
2. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by broad age groups and gender.
3. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by educational level and gender.
4. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by marital status and gender.
5. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by nationality and sex.
6. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by economic activity and gender.
7. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by occupation and sex.
8. Individuals aged 15 years and above who obtained new job or left job and net number of jobs by work status and gender.
9. Individuals aged 15 years and above who changed job by work sector and sex.
10. Individuals aged 15 years and above who changed job by economic activity and gender.
11. Individuals aged 15 years and above who changed job by occupation and sex.
12. Individuals aged 15 years and above who changed job by place of work and sex.
13. Individuals aged 15 years and above who changed job y economic activity and sex.

  1. The Division issues a bi-annual bulletin.
  2. The Division issues an annual bulletin.
  3. An annual analytical report of the survey is issued by the Analysis Division.

Data Bank

Tables: Job Creation 

Source : Department of Statistics

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