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    Home / Central Data Catalog / JOR_EUS_2004_HD_V1 / variable [V625]
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Employment and Unemployment Survey, EUS 2004

Jordan, 2004 - 2005
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Reference ID
JOR_EUS_2004_HD_V1
Producer(s)
Economic Research Forum, Department of Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Aug 29, 2019
Last modified
Aug 29, 2019
Page views
136254
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  • Study Description
  • Data Dictionary
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  • Data files
  • Jordan04-LFS
    HH-V1
  • Jordan04-LFS
    IND-V1

Occupation classification of the main job [ISCO 1988-3 digits] (OCC_ISCO88_3)

Data file: Jordan04-LFS IND-V1

Overview

Valid: 16226
Valid (weighted): 16925.403
Invalid: 62505
Invalid (weighted): 61805.597
Type: Discrete
Decimal: 0
Start: 74
End: 77
Width: 4
Range: 11 - 9999
Format: Numeric
Weighted variable: V602

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 2 3
0%
114 Senior officials of special-interest organizations 0 0
0%
121 Directors and chief executives 0 0
0%
122 Production and operations department managers 0 0
0%
123 Other department managers 17 16
0.1%
131 General managers 1 1
0%
211 Physicists, chemists and related professionals 5 7
0%
212 Mathematicians, statisticians and related professionals 2 2
0%
213 Computing professionals 79 129
0.8%
214 Architects, engineers and related professionals 234 357
2.1%
221 Life science professionals 27 32
0.2%
222 Health professionals (except nursing) 135 202
1.2%
223 Nursing and midwifery professionals 44 43
0.3%
229 Other non specified professional 0 0
0%
231 College, university and higher education teaching profession 87 112
0.7%
232 Secondary education teaching professionals 418 388
2.3%
233 Primary and pre-primary education teaching professionals 446 426
2.5%
234 Special education teaching professionals 1 1
0%
235 Other teaching professionals 37 39
0.2%
241 Business professionals 597 801
4.7%
242 Legal professionals 97 120
0.7%
243 Archivists, librarians and related information professionals 16 11
0.1%
244 Social science and related professionals 13 15
0.1%
245 Writers and creative or performing artists 16 29
0.2%
246 Religious professionals 10 13
0.1%
311 Physical and engineering science technicians 245 243
1.4%
312 Computer associate professionals 59 79
0.5%
313 Optical and electronic equipment operators 31 46
0.3%
314 Ship and aircraft controllers and technicians 15 23
0.1%
315 Safety and quality inspectors 42 30
0.2%
321 Life science technicians and related associate professionals 6 3
0%
322 Modern health associate professionals (except nursing) 87 107
0.6%
323 Nursing and midwifery associate professionals 200 179
1.1%
324 Traditional medicine practitioners and faith healers 0 0
0%
331 Primary education teaching associate professionals 234 215
1.3%
332 Pre-primary education teaching associate professionals 43 40
0.2%
333 Special education teaching associate professionals 8 7
0%
334 Other teaching associate professionals 10 13
0.1%
341 Finance and sales associate professionals 143 255
1.5%
342 Business services agents and trade brokers 50 53
0.3%
343 Administrative associate professionals 362 420
2.5%
344 Customs, tax and related government associate professionals 34 30
0.2%
345 Police inspectors and detectives 4 3
0%
346 Social work associate professionals 10 8
0%
347 Artistic, entertainment and sports associate professionals 36 43
0.3%
348 Religious associate professionals 55 39
0.2%
411 Secretaries and keyboard-operating clerks 122 148
0.9%
412 Numerical clerks 97 95
0.6%
413 Material-recording and transport clerks 151 148
0.9%
414 Library, mail and related clerks 414 349
2.1%
419 Other office clerks 4 4
0%
421 Cashiers, tellers and related clerks 64 56
0.3%
422 Client information clerks 142 152
0.9%
511 Travel attendants and related workers 12 12
0.1%
512 Housekeeping and restaurant services workers 286 318
1.9%
513 Personal care and related workers 33 27
0.2%
514 Other personal services workers 190 215
1.3%
515 Astrologers, fortune-tellers and related workers 0 0
0%
516 Protective services workers 69 62
0.4%
521 Fashion and other models 0 0
0%
522 Shop salespersons and demonstrators 1405 1700
10%
523 Stall and market salespersons 74 77
0.5%
611 Market gardeners and crop growers 469 338
2%
612 Market-oriented animal producers and related workers 174 115
0.7%
613 Market-oriented crop and animal producers 0 0
0%
614 Forestry and related workers 11 5
0%
615 Fishery workers, hunters and trappers 5 3
0%
621 Subsistence agricultural and fishery workers 1 1
0%
711 Miners, shotfirers, stone cutters and carvers 72 58
0.3%
712 Building frame and related trades workers 574 579
3.4%
713 Building finishers and related trades workers 242 312
1.8%
714 Painters, building structure cleaners and related trades wor 112 145
0.9%
721 Metal molders, welders, sheet-metal workers, structural- met 9 14
0.1%
722 Blacksmiths, tool-makers and related trades workers 273 368
2.2%
723 Machinery mechanics and fitters 485 564
3.3%
724 Electrical and electronic equipment mechanics and fitters 303 315
1.9%
731 Precision workers in metal and related materials 17 26
0.2%
732 Potters, glass-makers and related trades workers 7 9
0.1%
733 Handicraft workers in wood, textile, leather and related mat 1 1
0%
734 Printing and related trades workers 37 49
0.3%
741 Food processing and related trades workers 132 154
0.9%
742 Wood treaters, cabinet-makers and related trades workers 157 220
1.3%
743 Textile, garment and related trades workers 272 342
2%
744 Pelt, leather and shoemaking trades workers 4 4
0%
811 Mining- and mineral-processing-plant operators 103 72
0.4%
812 Metal-processing-plant operators 6 8
0%
813 Glass, ceramics and related plant operators 7 11
0.1%
814 Wood-processing- and papermaking-plant operators 0 0
0%
815 Chemical-processing-plant operators 34 30
0.2%
816 Power-production and related plant operators 59 33
0.2%
817 Automated-assembly-line and industrial-robot operators 1 2
0%
821 Metal- and mineral-products machine operators 143 89
0.5%
822 Chemical-products machine operators 20 23
0.1%
823 Rubber- and plastic-products machine operators 27 39
0.2%
824 Wood-products machine operators 1 1
0%
825 Printing-, binding- and paper-products machine operators 15 18
0.1%
826 Textile-, fur- and leather-products machine operators 23 33
0.2%
827 Food and related products machine operators 53 63
0.4%
828 Assemblers 2 6
0%
829 Other machine operators and assemblers 0 0
0%
831 Locomotive-engine drivers and related workers 13 7
0%
832 Motor-vehicle drivers 1512 1507
8.9%
833 Agricultural and other mobile-plant operators 93 77
0.5%
834 Ships' deck crews and related workers 9 3
0%
911 Street vendors and related workers 92 91
0.5%
912 Shoe cleaning and other street services elementary occupatio 1 0
0%
913 Domestic and related helpers, cleaners and launderers 232 297
1.8%
914 Building caretakers, window and related cleaners 9 9
0.1%
915 Messengers, porters, doorkeepers and related workers 922 984
5.8%
916 Garbage collectors and related laborers 89 88
0.5%
921 Agricultural, fishery and related laborers 239 174
1%
931 Mining and construction laborers 1962 1522
9%
932 Manufacturing laborers 54 56
0.3%
933 Transport laborers and freight handlers 63 55
0.3%
9998 Unspecified code 0 0
0%
9999 Not stated 64 60
0.4%
Sysmiss 62505 61806
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 job, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
Universe
Employed individuals aged 15+
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
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".
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