Gulf Labour Markets, Migration, and Population (GLMM) Programme

An international independent, non-partisan, non-profit joint programme of a major Gulf think tank and a globally renowned academic migration centre.
The programme provides data, analyses, and recommendations contributing to the improvement of understanding and management of
Gulf labour migration, population, and labour markets, engaging with and respecting the viewpoints of all stakeholder.

Qatar: Economically active population aged 15 and above by nationality (Qatari/ non-Qatari), sex and activity sector (2018)

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Qataris Non-Qataris Total
Males Females Total Males Females Total Males Females Total
Government Department 45,943 25,918 71,861 45,167 14,171 59,338 91,110 40,089 131,199
Government Company/ Corporation 8,963 5,042 14,005 46,846 8,439 55,285 55,809 13,481 69,290
Mixed 6,207 3,015 9,222 43,168 6,498 49,666 49,375 9,513 58,888
Private 6,175 4,145 10,320 1,537,024 105,474 1,642,498 1,543,199 109,619 1,652,818
Diplomatic/International/Regional 224 84 308 3,657 1,524 5,181 3,881 1,608 5,489
Non profit 140 224 364 2,245 1,054 3,299 2,385 1,278 3,663
Domestic 0 0 0 64,173 109,127 173,300 64,173 109,127 173,300
Total 67,652 38,428 106,080 1,742,280 246,287 1,988,567 1,809,932 284,715 2,094,647

Source: Annual Bulletin of Labor Force Sample survey 2018
 
ANNEXED NOTE
 
1. Technical Notes and Definitions

The data is taken from 2018 Labour Force Survey (yearly synthesis)
Sampling frame of LFS 2018: Census of Population, Housing, and Establishments 2015.
Sample size: 60,238 persons, in 9,200 households: 1- Qatari households; 2- Non-Qatari regular (non-collective) households;
3- Non-Qatari small collective households or labour gatherings (2 – 6 persons); 4- Non-Qatari large collective households or large labour gatherings (7 persons or more).
Data Collection: data was collected monthly.
Reference period for the labour force data: the week prior to data collection day.
Population of reference: all Qatari and non-Qatari households present in Qatar on the night of survey, living in normal and collective households.
The collective households are a group of persons not related to each other and sharing living conditions in a residential unit, I.e. labour camps, students living in boarding
schools, nurses in hospitals… etc. The survey covered the small collective households (includes less than 7 persons) and large collective households (includes 7 persons or more).
The survey did not cover short periods accommodation, i.e. hotels.

Economically active = In the labour force.
1) Employed.
All persons aged 15 years and above, who during the week preceding the survey:
a) Perform a work for a wage, salary, profits or household gains, whether it was in cash or in kind.
b) Are temporarily not employed, however, they still have an official relation with their work
2) Unemployed. 
All persons aged 15 years and over who were, during the week preceding the survey, without employment, willing to work and looking seriously for a job.
Current data include unemployed persons who previously worked (having a work experience, and who were actively looking for a job during the week preceding the survey).
Unemployed persons seeking work for the first time are not included.

2. Institution which provides data 

Planning and Statistics Authority
https://www.psa.gov.qa/en/Pages/default.aspx.

3. Data availability

The Statistics Authority conducted the first labour Force Sample Survey in 2001. Starting from 2006, the execution of these surveys came to be on annual basis, and on a quarterly basis since 2013.
Labour Force Surveys (yearly and quarterly data) can be downloaded from MDPS’s website, in PDF and Excel format:
https://www.psa.gov.qa/en/statistics1/pages/topicslisting.aspx?parent=Social&child=LaborForce
Labour Force 2018:
https://www.psa.gov.qa/en/statistics/Statistical%20Releases/Social/LaborForce/2018/Annual_Bulletin_Labour_force_2018_AE.xls
Statistical analysis of LFS 2018:
https://www.psa.gov.qa/en/statistics/Statistical%20Releases/Social/LaborForce/2018/statistical_analysis_labor_force_2018_En.pdf

Last date of access: October 2019.

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