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    Home / Central Data Catalog / JOR_EUS_2006_HD_V1 / variable [V181]
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Employment and Unemployment Survey, EUS 2006

Jordan, 2006 - 2007
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Reference ID
JOR_EUS_2006_HD_V1
Producer(s)
Economic Research Forum, Department of Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Apr 11, 2017
Last modified
Apr 11, 2017
Page views
152936
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  • Study Description
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  • Data files
  • Jordan06-LFS
    HH-V1
  • Jordan06-LFS
    IND-V1

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

Data file: Jordan06-LFS IND-V1

Overview

Valid: 43050
Valid (weighted): 45373.044
Invalid: 169558
Invalid (weighted): 167232.541
Type: Discrete
Decimal: 0
Start: 80
End: 83
Width: 4
Range: 11 - 9999
Format: Numeric
Weighted variable: V157

Questions and instructions

Categories
Value Category Cases Weighted
11 Armed forces 0 0
0%
111 Legislators 2 4
0%
112 Senior government officials 3 5
0%
113 Traditional chiefs and heads of villages 6 4
0%
114 Senior officials of special-interest organizations 4 7
0%
121 Directors and chief executives 1 2
0%
122 Production and operations department managers 0 0
0%
123 Other department managers 3 5
0%
131 General managers 0 0
0%
211 Physicists, chemists and related professionals 36 52
0.1%
212 Mathematicians, statisticians and related professionals 1 1
0%
213 Computing professionals 189 285
0.6%
214 Architects, engineers and related professionals 567 796
1.8%
221 Life science professionals 107 141
0.3%
222 Health professionals (except nursing) 394 614
1.4%
223 Nursing and midwifery professionals 134 169
0.4%
229 Other non specified professional 0 0
0%
231 College, university and higher education teaching profession 240 335
0.7%
232 Secondary education teaching professionals 1330 1231
2.7%
233 Primary and pre-primary education teaching professionals 1345 1303
2.9%
234 Special education teaching professionals 26 30
0.1%
235 Other teaching professionals 86 78
0.2%
241 Business professionals 2079 2720
6%
242 Legal professionals 271 370
0.8%
243 Archivists, librarians and related information professionals 31 28
0.1%
244 Social science and related professionals 63 78
0.2%
245 Writers and creative or performing artists 55 97
0.2%
246 Religious professionals 34 38
0.1%
311 Physical and engineering science technicians 550 542
1.2%
312 Computer associate professionals 155 203
0.4%
313 Optical and electronic equipment operators 62 86
0.2%
314 Ship and aircraft controllers and technicians 21 23
0.1%
315 Safety and quality inspectors 93 77
0.2%
321 Life science technicians and related associate professionals 11 10
0%
322 Modern health associate professionals (except nursing) 169 223
0.5%
323 Nursing and midwifery associate professionals 484 409
0.9%
324 Traditional medicine practitioners and faith healers 0 0
0%
331 Primary education teaching associate professionals 523 518
1.1%
332 Pre-primary education teaching associate professionals 62 67
0.1%
333 Special education teaching associate professionals 20 25
0.1%
334 Other teaching associate professionals 4 6
0%
341 Finance and sales associate professionals 345 552
1.2%
342 Business services agents and trade brokers 96 100
0.2%
343 Administrative associate professionals 1174 1379
3%
344 Customs, tax and related government associate professionals 47 39
0.1%
345 Police inspectors and detectives 8 10
0%
346 Social work associate professionals 18 18
0%
347 Artistic, entertainment and sports associate professionals 102 120
0.3%
348 Religious associate professionals 176 150
0.3%
411 Secretaries and keyboard-operating clerks 339 393
0.9%
412 Numerical clerks 300 301
0.7%
413 Material-recording and transport clerks 332 283
0.6%
414 Library, mail and related clerks 1216 1073
2.4%
419 Other office clerks 6 8
0%
421 Cashiers, tellers and related clerks 73 78
0.2%
422 Client information clerks 316 278
0.6%
511 Travel attendants and related workers 33 36
0.1%
512 Housekeeping and restaurant services workers 739 947
2.1%
513 Personal care and related workers 61 70
0.2%
514 Other personal services workers 501 652
1.4%
515 Astrologers, fortune-tellers and related workers 1 1
0%
516 Protective services workers 94 77
0.2%
521 Fashion and other models 0 0
0%
522 Shop salespersons and demonstrators 3380 4435
9.8%
523 Stall and market salespersons 173 214
0.5%
611 Market gardeners and crop growers 754 563
1.2%
612 Market-oriented animal producers and related workers 562 388
0.9%
613 Market-oriented crop and animal producers 1 1
0%
614 Forestry and related workers 30 16
0%
615 Fishery workers, hunters and trappers 5 7
0%
621 Subsistence agricultural and fishery workers 1 0
0%
711 Miners, shotfirers, stone cutters and carvers 185 135
0.3%
712 Building frame and related trades workers 1317 1483
3.3%
713 Building finishers and related trades workers 439 621
1.4%
714 Painters, building structure cleaners and related trades wor 279 411
0.9%
721 Metal molders, welders, sheet-metal workers, structural- met 17 18
0%
722 Blacksmiths, tool-makers and related trades workers 507 677
1.5%
723 Machinery mechanics and fitters 1052 1273
2.8%
724 Electrical and electronic equipment mechanics and fitters 846 882
1.9%
731 Precision workers in metal and related materials 18 23
0.1%
732 Potters, glass-makers and related trades workers 1 1
0%
733 Handicraft workers in wood, textile, leather and related mat 1 1
0%
734 Printing and related trades workers 91 145
0.3%
741 Food processing and related trades workers 304 393
0.9%
742 Wood treaters, cabinet-makers and related trades workers 416 654
1.4%
743 Textile, garment and related trades workers 694 843
1.9%
744 Pelt, leather and shoemaking trades workers 23 37
0.1%
811 Mining- and mineral-processing-plant operators 208 167
0.4%
812 Metal-processing-plant operators 2 2
0%
813 Glass, ceramics and related plant operators 8 8
0%
814 Wood-processing- and papermaking-plant operators 8 8
0%
815 Chemical-processing-plant operators 74 73
0.2%
816 Power-production and related plant operators 193 143
0.3%
817 Automated-assembly-line and industrial-robot operators 0 0
0%
821 Metal- and mineral-products machine operators 231 218
0.5%
822 Chemical-products machine operators 41 53
0.1%
823 Rubber- and plastic-products machine operators 58 83
0.2%
824 Wood-products machine operators 0 0
0%
825 Printing-, binding- and paper-products machine operators 23 21
0%
826 Textile-, fur- and leather-products machine operators 21 34
0.1%
827 Food and related products machine operators 101 100
0.2%
828 Assemblers 1 2
0%
829 Other machine operators and assemblers 0 0
0%
831 Locomotive-engine drivers and related workers 13 4
0%
832 Motor-vehicle drivers 4134 4290
9.5%
833 Agricultural and other mobile-plant operators 302 258
0.6%
834 Ships' deck crews and related workers 43 16
0%
911 Street vendors and related workers 194 251
0.6%
912 Shoe cleaning and other street services elementary occupatio 2 3
0%
913 Domestic and related helpers, cleaners and launderers 1135 1497
3.3%
914 Building caretakers, window and related cleaners 16 19
0%
915 Messengers, porters, doorkeepers and related workers 2210 2102
4.6%
916 Garbage collectors and related laborers 292 289
0.6%
921 Agricultural, fishery and related laborers 644 446
1%
931 Mining and construction laborers 6350 4451
9.8%
932 Manufacturing laborers 206 207
0.5%
933 Transport laborers and freight handlers 133 99
0.2%
9998 Unspecified code 0 0
0%
9999 Not stated 173 159
0.4%
Sysmiss 169558 167233
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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