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    Home / Central Data Catalog / PAL_PECS_2006_HD_V2.0 / variable [V2537]
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Expenditure and Consumption Survey, PECS 2006

Palestine, 2006 - 2007
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Reference ID
PAL_PECS_2006_HD_V2.0
Producer(s)
Economic Research Forum, Palestinian Central Bureau 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
207705
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  • Study Description
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  • Palestine06-IND-V2
  • Palestine06-HH-V2

Occupation classification for the main job of the head [ISCO 1988- 3 digits] (OCCHD_ISCO88_3)

Data file: Palestine06-HH-V2

Overview

Valid: 1077
Valid (weighted): 1076.574
Invalid: 204
Invalid (weighted): 204.426
Type: Discrete
Decimal: 0
Start: 162
End: 165
Width: 4
Range: 11 - 9999
Format: Numeric
Weighted variable: V2454

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
0.3%
114 Senior officials of special-interest organizations 0 0
0%
121 Directors and chief executives 3 2
0.2%
122 Production and operations department managers 11 12
1.1%
123 Other department managers 8 8
0.8%
131 General managers 26 26
2.5%
211 Physicists, chemists and related professionals 0 0
0%
212 Mathematicians, statisticians and related professionals 0 0
0%
213 Computing professionals 2 2
0.2%
214 Architects, engineers and related professionals 7 7
0.6%
221 Life science professionals 1 1
0.1%
222 Health professionals (except nursing) 8 9
0.9%
223 Nursing and midwifery professionals 0 0
0%
231 College, university and higher education teaching profession 9 9
0.8%
232 Secondary education teaching professionals 12 13
1.2%
233 Primary and pre-primary education teaching professionals 11 12
1.1%
234 Special education teaching professionals 2 2
0.1%
235 Other teaching professionals 2 2
0.2%
241 Business professionals 20 18
1.7%
242 Legal professionals 6 5
0.5%
243 Archivists, librarians and related information professionals 0 0
0%
244 Social science and related professionals 2 2
0.2%
245 Writers and creative or performing artists 2 2
0.2%
246 Religious professionals 3 3
0.3%
311 Physical and engineering science technicians 4 5
0.5%
312 Computer associate professionals 1 1
0.1%
313 Optical and electronic equipment operators 2 2
0.2%
314 Ship and aircraft controllers and technicians 1 1
0.1%
315 Safety and quality inspectors 1 1
0.1%
321 Life science technicians and related associate professionals 0 0
0%
322 Modern health associate professionals (except nursing) 3 4
0.4%
323 Nursing and midwifery associate professionals 3 4
0.4%
324 Traditional medicine practitioners and faith healers 0 0
0%
331 Primary education teaching associate professionals 7 8
0.8%
332 Pre-primary education teaching associate professionals 1 1
0.1%
333 Special education teaching associate professionals 0 0
0%
334 Other teaching associate professionals 2 2
0.2%
341 Finance and sales associate professionals 9 9
0.8%
342 Business services agents and trade brokers 5 3
0.3%
343 Administrative associate professionals 5 3
0.3%
344 Customs, tax and related government associate professionals 3 3
0.2%
345 Police inspectors and detectives 37 34
3.2%
346 Social work associate professionals 1 1
0.1%
347 Artistic, entertainment and sports associate professionals 2 2
0.2%
348 Religious associate professionals 2 2
0.2%
411 Secretaries and keyboard-operating clerks 3 4
0.3%
412 Numerical clerks 0 0
0%
413 Material-recording and transport clerks 1 1
0.1%
414 Library, mail and related clerks 0 0
0%
419 Other office clerks 0 0
0%
421 Cashiers, tellers and related clerks 3 3
0.3%
422 Client information clerks 2 1
0.1%
511 Travel attendants and related workers 1 0
0%
512 Housekeeping and restaurant services workers 26 27
2.5%
513 Personal care and related workers 2 2
0.2%
514 Other personal services workers 2 2
0.2%
515 Astrologers, fortune-tellers and related workers 0 0
0%
516 Protective services workers 52 45
4.2%
521 Fashion and other models 0 0
0%
522 Shop salespersons and demonstrators 92 101
9.4%
523 Stall and market salespersons 13 13
1.3%
611 Market gardeners and crop growers 59 60
5.6%
612 Market-oriented animal producers and related workers 40 42
3.9%
613 Market-oriented crop and animal producers 0 0
0%
614 Forestry and related workers 0 0
0%
615 Fishery workers, hunters and trappers 2 2
0.2%
621 Subsistence agricultural and fishery workers 1 1
0.1%
711 Miners, shotfirers, stone cutters and carvers 11 10
1%
712 Building frame and related trades workers 52 56
5.2%
713 Building finishers and related trades workers 54 52
4.8%
714 Painters, building structure cleaners and related trades wor 9 10
0.9%
721 Metal molders, welders, sheet-metal workers, structural- met 2 2
0.2%
722 Blacksmiths, tool-makers and related trades workers 19 18
1.6%
723 Machinery mechanics and fitters 30 33
3%
724 Electrical and electronic equipment mechanics and fitters 14 14
1.3%
731 Precision workers in metal and related materials 0 0
0%
732 Potters, glass-makers and related trades workers 0 0
0%
733 Handicraft workers in wood, textile, leather and related mat 0 0
0%
734 Printing and related trades workers 2 2
0.2%
741 Food processing and related trades workers 8 8
0.8%
742 Wood treaters, cabinet-makers and related trades workers 13 12
1.1%
743 Textile, garment and related trades workers 11 11
1.1%
744 Pelt, leather and shoemaking trades workers 3 3
0.3%
811 Mining- and mineral-processing-plant operators 10 10
0.9%
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 2 2
0.2%
816 Power-production and related plant operators 1 1
0.1%
817 Automated-assembly-line and industrial-robot operators 0 0
0%
821 Metal- and mineral-products machine operators 0 0
0%
822 Chemical-products machine operators 0 0
0%
823 Rubber- and plastic-products machine operators 3 3
0.3%
824 Wood-products machine operators 0 0
0%
825 Printing-, binding- and paper-products machine operators 1 1
0.1%
826 Textile-, fur- and leather-products machine operators 3 3
0.3%
827 Food and related products machine operators 2 0
0%
828 Assemblers 0 0
0%
829 Other machine operators and assemblers 0 0
0%
831 Locomotive-engine drivers and related workers 0 0
0%
832 Motor-vehicle drivers 90 89
8.3%
833 Agricultural and other mobile-plant operators 14 15
1.4%
834 Ships' deck crews and related workers 0 0
0%
911 Street vendors and related workers 12 14
1.3%
912 Shoe cleaning and other street services elementary occupatio 0 0
0%
913 Domestic and related helpers, cleaners and launderers 10 10
0.9%
914 Building caretakers, window and related cleaners 2 1
0.1%
915 Messengers, porters, doorkeepers and related workers 34 30
2.8%
916 Garbage collectors and related laborers 11 11
1%
921 Agricultural, fishery and related laborers 41 37
3.4%
931 Mining and construction laborers 70 67
6.2%
932 Manufacturing laborers 7 6
0.6%
933 Transport laborers and freight handlers 11 11
1%
9998 Unspecified code 0 0
0%
9999 Not stated 0 0
0%
Sysmiss 204 204
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 of the head, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
Universe
Ever-employed Active heads aged 10+ 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
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COUNTRY SPECIFIC NOTES
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