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    Home / Central Data Catalog / JOR_2008_HEIS_HD_V2.0 / variable [F11]
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Household Expenditure and Income Survey, HEIS 2008

Jordan, 2008 - 2009
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Reference ID
JOR_2008_HEIS_HD_V2.0
Producer(s)
Economic Research Forum, Department of Statistics
Collections
Income and Expenditure Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Feb 19, 2014
Last modified
Oct 30, 2014
Page views
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  • Study Description
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  • Jordan08-IND-V2
  • Jordan08-HH-V2

Occupation classification for the main job [ISCO 1988- 3 digits] (POCC_ISCO88_3)

Data file: Jordan08-IND-V2

Overview

Valid: 3192
Valid (weighted): 1225745.982
Invalid: 12250
Invalid (weighted): 4571708.98
Type: Discrete
Decimal: 0
Start: 152
End: 155
Width: 4
Range: 11 - 9999
Format: Numeric
Weighted variable: V2408

Questions and instructions

Categories
Value Category Cases Weighted
11 Armed forces 0 0
0%
111 Legislators 0 0
0%
112 Senior government officials 0 0
0%
113 Traditional chiefs and heads of villages 0 0
0%
114 Senior officials of special-interest organizations 1 386
0%
121 Directors and chief executives 0 0
0%
122 Production and operations department managers 0 0
0%
123 Other department managers 0 0
0%
131 General managers 1 291
0%
211 Physicists, chemists and related professionals 5 1590
0.1%
212 Mathematicians, statisticians and related professionals 0 0
0%
213 Computing professionals 42 13774
1.1%
214 Architects, engineers and related professionals 43 17035
1.4%
221 Life science professionals 8 2874
0.2%
222 Health professionals (except nursing) 50 17574
1.4%
223 Nursing and midwifery professionals 15 4371
0.4%
231 College, university and higher education teaching profession 22 11626
0.9%
232 Secondary education teaching professionals 73 25434
2.1%
233 Primary and pre-primary education teaching professionals 85 33332
2.7%
234 Special education teaching professionals 0 0
0%
235 Other teaching professionals 3 686
0.1%
241 Business professionals 221 80054
6.5%
242 Legal professionals 23 8654
0.7%
243 Archivists, librarians and related information professionals 3 1458
0.1%
244 Social science and related professionals 8 2646
0.2%
245 Writers and creative or performing artists 4 1585
0.1%
246 Religious professionals 7 4638
0.4%
311 Physical and engineering science technicians 47 19304
1.6%
312 Computer associate professionals 13 4478
0.4%
313 Optical and electronic equipment operators 1 173
0%
314 Ship and aircraft controllers and technicians 4 721
0.1%
315 Safety and quality inspectors 3 1979
0.2%
321 Life science technicians and related associate professionals 0 0
0%
322 Modern health associate professionals (except nursing) 15 6877
0.6%
323 Nursing and midwifery associate professionals 22 7422
0.6%
324 Traditional medicine practitioners and faith healers 0 0
0%
331 Primary education teaching associate professionals 29 9610
0.8%
332 Pre-primary education teaching associate professionals 7 2251
0.2%
333 Special education teaching associate professionals 0 0
0%
334 Other teaching associate professionals 1 550
0%
341 Finance and sales associate professionals 31 10687
0.9%
342 Business services agents and trade brokers 4 844
0.1%
343 Administrative associate professionals 100 36539
3%
344 Customs, tax and related government associate professionals 5 1457
0.1%
345 Police inspectors and detectives 1 267
0%
346 Social work associate professionals 0 0
0%
347 Artistic, entertainment and sports associate professionals 14 6598
0.5%
348 Religious associate professionals 19 6720
0.5%
411 Secretaries and keyboard-operating clerks 27 11152
0.9%
412 Numerical clerks 30 14127
1.2%
413 Material-recording and transport clerks 18 4930
0.4%
414 Library, mail and related clerks 96 40237
3.3%
419 Other office clerks 0 0
0%
421 Cashiers, tellers and related clerks 4 1766
0.1%
422 Client information clerks 35 12019
1%
511 Travel attendants and related workers 1 1575
0.1%
512 Housekeeping and restaurant services workers 56 22114
1.8%
513 Personal care and related workers 13 5011
0.4%
514 Other personal services workers 50 27080
2.2%
515 Astrologers, fortune-tellers and related workers 0 0
0%
516 Protective services workers 24 10009
0.8%
521 Fashion and other models 0 0
0%
522 Shop salespersons and demonstrators 326 123764
10.1%
523 Stall and market salespersons 14 4219
0.3%
611 Market gardeners and crop growers 25 9922
0.8%
612 Market-oriented animal producers and related workers 10 2576
0.2%
613 Market-oriented crop and animal producers 0 0
0%
614 Forestry and related workers 2 583
0%
615 Fishery workers, hunters and trappers 1 201
0%
621 Subsistence agricultural and fishery workers 0 0
0%
711 Miners, shotfirers, stone cutters and carvers 1 800
0.1%
712 Building frame and related trades workers 73 35098
2.9%
713 Building finishers and related trades workers 48 17365
1.4%
714 Painters, building structure cleaners and related trades wor 28 11057
0.9%
721 Metal molders, welders, sheet-metal workers, structural- met 0 0
0%
722 Blacksmiths, tool-makers and related trades workers 52 17822
1.5%
723 Machinery mechanics and fitters 81 33623
2.7%
724 Electrical and electronic equipment mechanics and fitters 49 24912
2%
731 Precision workers in metal and related materials 2 628
0.1%
732 Potters, glass-makers and related trades workers 2 3982
0.3%
733 Handicraft workers in wood, textile, leather and related mat 0 0
0%
734 Printing and related trades workers 15 5959
0.5%
741 Food processing and related trades workers 27 10511
0.9%
742 Wood treaters, cabinet-makers and related trades workers 35 10453
0.9%
743 Textile, garment and related trades workers 44 17130
1.4%
744 Pelt, leather and shoemaking trades workers 2 661
0.1%
811 Mining- and mineral-processing-plant operators 11 4373
0.4%
812 Metal-processing-plant operators 0 0
0%
813 Glass, ceramics and related plant operators 0 0
0%
814 Wood-processing- and papermaking-plant operators 0 0
0%
815 Chemical-processing-plant operators 6 4613
0.4%
816 Power-production and related plant operators 8 1907
0.2%
817 Automated-assembly-line and industrial-robot operators 0 0
0%
821 Metal- and mineral-products machine operators 5 1334
0.1%
822 Chemical-products machine operators 1 284
0%
823 Rubber- and plastic-products machine operators 2 794
0.1%
824 Wood-products machine operators 0 0
0%
825 Printing-, binding- and paper-products machine operators 0 0
0%
826 Textile-, fur- and leather-products machine operators 1 249
0%
827 Food and related products machine operators 3 1181
0.1%
828 Assemblers 0 0
0%
829 Other machine operators and assemblers 0 0
0%
831 Locomotive-engine drivers and related workers 1 84
0%
832 Motor-vehicle drivers 355 138923
11.3%
833 Agricultural and other mobile-plant operators 28 13250
1.1%
834 Ships' deck crews and related workers 0 0
0%
911 Street vendors and related workers 9 3569
0.3%
912 Shoe cleaning and other street services elementary occupatio 0 0
0%
913 Domestic and related helpers, cleaners and launderers 126 51372
4.2%
914 Building caretakers, window and related cleaners 2 424
0%
915 Messengers, porters, doorkeepers and related workers 154 49622
4%
916 Garbage collectors and related laborers 27 9276
0.8%
921 Agricultural, fishery and related laborers 27 8359
0.7%
931 Mining and construction laborers 273 96722
7.9%
932 Manufacturing laborers 18 7499
0.6%
933 Transport laborers and freight handlers 2 387
0%
9998 Unspecified code 0 0
0%
9999 Not stated 12 5752
0.5%
Sysmiss 12250 4571709
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Definition
Occupation classification for the main (current or last held) job, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
Universe
Ever-employed Active individuals aged 15+ years
Source of information
Data Dictionary & Questionnaire/Codebook

Imputation and derivation

Coder instructions
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)

Others

Notes
GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported.

Those unemployed and do not search for a job are considered inactive, hence their previous employment information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Following 3 digits ISCO 1988
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