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    Home / Central Data Catalog / JOR_EUS_2016_HD_V1 / variable [V112]
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Employment and Unemployment Survey, EUS 2016

Jordan, 2016
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Reference ID
JOR_EUS_2016_HD_V1
Producer(s)
Economic Research Forum, Department of Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Oct 22, 2017
Last modified
Oct 22, 2017
Page views
152401
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  • Study Description
  • Data Dictionary
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  • Jordan16-LFS
    HH-V1
  • Jordan16-LFS
    IND-V1

Occupation classification of the main job [ISCO 2008-3 digits] (OCC_ISCO08_3)

Data file: Jordan16-LFS IND-V1

Overview

Valid: 45448
Valid (weighted): 52832.767
Invalid: 169150
Invalid (weighted): 161765.233
Type: Discrete
Decimal: 0
Start: 81
End: 84
Width: 4
Range: 11 - 9999
Format: Numeric
Weighted variable: V88

Questions and instructions

Categories
Value Category Cases Weighted
11 Commissioned armed forces officers 0 0
0%
21 Non-commissioned armed forces officers 0 0
0%
31 Armed forces occupations, other ranks 0 0
0%
111 Legislators and senior officials 28 19
0%
112 Managing directors and chief executives 3 1
0%
121 Business services and administration managers 10 7
0%
122 Sales, marketing and development managers 0 0
0%
131 Production managers in agriculture, forestry and fisheries 0 0
0%
132 Manufacturing, mining, construction, and distribution manage 3 2
0%
133 Information and communications technology service managers 0 0
0%
134 Professional services managers 184 132
0.2%
141 Hotel and restaurant managers 0 0
0%
142 Retail and wholesale trade managers 0 0
0%
143 Other services managers 0 0
0%
211 Physical and earth science professionals 12 7
0%
212 Mathematicians, actuaries and statisticians 11 9
0%
213 Life science professionals 57 55
0.1%
214 Engineering professionals (excluding electrotechnology) 338 356
0.7%
215 Electrotechnology engineers 248 246
0.5%
216 Architects, planners, surveyors and designers 116 143
0.3%
221 Medical doctors 212 261
0.5%
222 Nursing and midwifery professionals 405 311
0.6%
223 Traditional and complementary medicine professionals 0 0
0%
224 Paramedical practitioners 1 1
0%
225 Veterinarians 11 8
0%
226 Other health professionals 317 357
0.7%
231 University and higher education teachers 208 255
0.5%
232 Vocational education teachers 12 11
0%
233 Secondary education teachers 1256 850
1.6%
234 Primary school and early childhood teachers 2076 1486
2.8%
235 Other teaching professionals 144 106
0.2%
241 Finance professionals 914 935
1.8%
242 Administration professionals 2049 2034
3.8%
243 Sales, marketing and public relations professionals 96 84
0.2%
251 Software and applications developers and analysts 188 201
0.4%
252 Database and network professionals 0 0
0%
261 Legal professionals 307 265
0.5%
262 Librarians, archivists and curators 37 21
0%
263 Social and religious professionals 77 55
0.1%
264 Authors, journalists and linguists 73 105
0.2%
265 Creative and performing artists 25 27
0.1%
311 Physical and engineering science technicians 371 354
0.7%
312 Mining, manufacturing and construction supervisors 0 0
0%
313 Process control technicians 62 39
0.1%
314 Life science technicians and related associate professionals 2 2
0%
315 Ship and aircraft controllers and technicians 16 19
0%
321 Medical and pharmaceutical technicians 170 132
0.2%
322 Nursing and midwifery associate professionals 337 243
0.5%
323 Traditional and complementary medicine associate professiona 0 0
0%
324 Veterinary technicians and assistants 0 0
0%
325 Other health associate professionals 41 30
0.1%
331 Financial and mathematical associate professionals 355 325
0.6%
332 Sales and purchasing agents and brokers 47 52
0.1%
333 Business services agents 127 119
0.2%
334 Administrative and specialized secretaries 834 747
1.4%
335 Regulatory government associate professionals 12 8
0%
341 Legal, social and religious associate professionals 182 118
0.2%
342 Sports and fitness workers 45 38
0.1%
343 Artistic, cultural and culinary associate professionals 67 74
0.1%
351 Information and communications technology operations and use 41 37
0.1%
352 Telecommunications and broadcasting technicians 0 0
0%
411 General office clerks 1458 1095
2.1%
412 Secretaries (general) 82 78
0.1%
413 Keyboard operators 113 82
0.2%
421 Tellers, money collectors and related clerks 70 46
0.1%
422 Client information workers 126 98
0.2%
431 Numerical clerks 119 104
0.2%
432 Material-recording and transport clerks 149 116
0.2%
441 Other clerical support workers 14 11
0%
511 Travel attendants, conductors and guides 25 24
0%
512 Cooks 386 532
1%
513 Waiters and bartenders 413 677
1.3%
514 Hairdressers, beauticians and related workers 427 490
0.9%
515 Building and housekeeping supervisors 431 3938
7.5%
516 Other personal services workers 38 43
0.1%
521 Street and market salespersons 325 427
0.8%
522 Shop salespersons 3481 4332
8.2%
523 Cashiers and ticket clerks 46 42
0.1%
524 Other sales workers 72 176
0.3%
531 Child care workers and teachers' aides 62 59
0.1%
532 Personal care workers in health services 103 70
0.1%
541 Protective services workers 8913 5881
11.1%
611 Market gardeners and crop growers 999 1311
2.5%
612 Animal producers 234 304
0.6%
613 Mixed crop and animal producers 0 0
0%
621 Forestry and related workers 2 2
0%
622 Fishery workers, hunters and trappers 1 1
0%
631 Subsistence crop farmers 0 0
0%
632 Subsistence livestock farmers 120 98
0.2%
633 Subsistence mixed crop and livestock farmers 0 0
0%
634 Subsistence fishers, hunters, trappers and gatherers 0 0
0%
711 Building frame and related trades workers 1777 4060
7.7%
712 Building finishers and related trades workers 641 1410
2.7%
713 Painters, building structure cleaners and related trades wor 455 749
1.4%
721 Sheet and structural metal workers, molders and welders, and 9 6
0%
722 Blacksmiths, toolmakers and related trades workers 629 682
1.3%
723 Machinery mechanics and repairers 1060 1073
2%
731 Handicraft workers 45 35
0.1%
732 Printing trades workers 30 48
0.1%
741 Electrical equipment installers and repairers 740 653
1.2%
742 Electronics and telecommunications installers and repairers 104 97
0.2%
751 Food processing and related trades workers 422 883
1.7%
752 Wood treaters, cabinet-makers and related trades workers 403 491
0.9%
753 Garment and related trades workers 518 597
1.1%
754 Other craft and related workers 8 5
0%
811 Mining and mineral processing plant operators 162 285
0.5%
812 Metal processing and finishing plant operators 0 0
0%
813 Chemical and photographic products plant and machine operato 49 46
0.1%
814 Rubber, plastic and paper products machine operators 59 105
0.2%
815 Textile, fur and leather products machine operators 102 139
0.3%
816 Food and related products machine operators 103 127
0.2%
817 Wood processing and papermaking plant operators 0 0
0%
818 Other stationary plant and machine operators 20 23
0%
821 Assemblers 0 0
0%
831 Locomotive engine drivers and related workers 23 8
0%
832 Car, van and motorcycle drivers 2539 2058
3.9%
833 Heavy truck and bus drivers 1281 1014
1.9%
834 Mobile plant operators 195 151
0.3%
835 Ships' deck crews and related workers 0 0
0%
911 Domestic, hotel and office cleaners and helpers 1182 4110
7.8%
912 Vehicle, window, laundry and other hand cleaning workers 33 86
0.2%
921 Agricultural, forestry and fishery laborers 191 126
0.2%
931 Mining and construction laborers 73 104
0.2%
932 Manufacturing laborers 351 399
0.8%
933 Transport and storage laborers 38 27
0.1%
941 Food preparation assistants 99 279
0.5%
951 Street and related service workers 1 0
0%
952 Street vendors (excluding food) 182 188
0.4%
961 Refuse workers 335 348
0.7%
962 Other elementary workers 1211 1667
3.2%
9998 Unspecified code 0 0
0%
9999 Not stated 42 30
0.1%
Sysmiss 169150 161765
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 2008 (ISCO-08).
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 (Q222) 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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