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    Home / Central Data Catalog / PAL_PECS_2006_HD_V2.0 / variable [V2445]
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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
207708
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  • Study Description
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  • Data files
  • Palestine06-IND-V2
  • Palestine06-HH-V2

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

Data file: Palestine06-IND-V2

Overview

Valid: 2045
Valid (weighted): 2045.755
Invalid: 6097
Invalid (weighted): 6145.73
Type: Discrete
Decimal: 0
Start: 140
End: 143
Width: 4
Range: 11 - 9999
Format: Numeric
Weighted variable: V2391

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
0.1%
114 Senior officials of special-interest organizations 0 0
0%
121 Directors and chief executives 4 3
0.2%
122 Production and operations department managers 15 17
0.8%
123 Other department managers 10 11
0.5%
131 General managers 26 26
1.3%
211 Physicists, chemists and related professionals 0 0
0%
212 Mathematicians, statisticians and related professionals 0 0
0%
213 Computing professionals 6 7
0.3%
214 Architects, engineers and related professionals 17 19
0.9%
221 Life science professionals 1 1
0.1%
222 Health professionals (except nursing) 20 21
1%
223 Nursing and midwifery professionals 8 9
0.5%
231 College, university and higher education teaching profession 11 11
0.5%
232 Secondary education teaching professionals 38 40
2%
233 Primary and pre-primary education teaching professionals 57 53
2.6%
234 Special education teaching professionals 6 5
0.3%
235 Other teaching professionals 4 5
0.2%
241 Business professionals 38 37
1.8%
242 Legal professionals 6 5
0.3%
243 Archivists, librarians and related information professionals 0 0
0%
244 Social science and related professionals 7 7
0.4%
245 Writers and creative or performing artists 3 3
0.1%
246 Religious professionals 4 4
0.2%
311 Physical and engineering science technicians 6 7
0.3%
312 Computer associate professionals 2 2
0.1%
313 Optical and electronic equipment operators 4 5
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
0.2%
323 Nursing and midwifery associate professionals 8 9
0.5%
324 Traditional medicine practitioners and faith healers 0 0
0%
331 Primary education teaching associate professionals 19 20
1%
332 Pre-primary education teaching associate professionals 8 9
0.4%
333 Special education teaching associate professionals 1 1
0.1%
334 Other teaching associate professionals 7 7
0.4%
341 Finance and sales associate professionals 12 12
0.6%
342 Business services agents and trade brokers 8 7
0.3%
343 Administrative associate professionals 15 14
0.7%
344 Customs, tax and related government associate professionals 3 3
0.1%
345 Police inspectors and detectives 46 44
2.2%
346 Social work associate professionals 5 6
0.3%
347 Artistic, entertainment and sports associate professionals 4 6
0.3%
348 Religious associate professionals 4 5
0.2%
411 Secretaries and keyboard-operating clerks 19 21
1%
412 Numerical clerks 2 2
0.1%
413 Material-recording and transport clerks 1 1
0.1%
414 Library, mail and related clerks 0 0
0%
419 Other office clerks 1 1
0.1%
421 Cashiers, tellers and related clerks 3 3
0.2%
422 Client information clerks 3 3
0.1%
511 Travel attendants and related workers 1 0
0%
512 Housekeeping and restaurant services workers 49 51
2.5%
513 Personal care and related workers 7 5
0.3%
514 Other personal services workers 12 11
0.6%
515 Astrologers, fortune-tellers and related workers 0 0
0%
516 Protective services workers 117 105
5.1%
521 Fashion and other models 0 0
0%
522 Shop salespersons and demonstrators 181 204
10%
523 Stall and market salespersons 26 25
1.2%
611 Market gardeners and crop growers 100 97
4.8%
612 Market-oriented animal producers and related workers 137 130
6.3%
613 Market-oriented crop and animal producers 0 0
0%
614 Forestry and related workers 1 1
0.1%
615 Fishery workers, hunters and trappers 2 2
0.1%
621 Subsistence agricultural and fishery workers 24 26
1.3%
711 Miners, shotfirers, stone cutters and carvers 17 17
0.8%
712 Building frame and related trades workers 79 84
4.1%
713 Building finishers and related trades workers 87 86
4.2%
714 Painters, building structure cleaners and related trades wor 16 18
0.9%
721 Metal molders, welders, sheet-metal workers, structural- met 3 3
0.2%
722 Blacksmiths, tool-makers and related trades workers 24 22
1.1%
723 Machinery mechanics and fitters 58 63
3.1%
724 Electrical and electronic equipment mechanics and fitters 19 19
0.9%
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
0.1%
741 Food processing and related trades workers 17 17
0.8%
742 Wood treaters, cabinet-makers and related trades workers 20 18
0.9%
743 Textile, garment and related trades workers 40 45
2.2%
744 Pelt, leather and shoemaking trades workers 5 6
0.3%
811 Mining- and mineral-processing-plant operators 11 11
0.5%
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
0.1%
816 Power-production and related plant operators 1 1
0%
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
0.1%
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 11 12
0.6%
827 Food and related products machine operators 3 2
0.1%
828 Assemblers 0 0
0%
829 Other machine operators and assemblers 2 2
0.1%
831 Locomotive-engine drivers and related workers 0 0
0%
832 Motor-vehicle drivers 113 112
5.5%
833 Agricultural and other mobile-plant operators 19 20
1%
834 Ships' deck crews and related workers 0 0
0%
911 Street vendors and related workers 19 21
1%
912 Shoe cleaning and other street services elementary occupatio 0 0
0%
913 Domestic and related helpers, cleaners and launderers 32 33
1.6%
914 Building caretakers, window and related cleaners 5 3
0.2%
915 Messengers, porters, doorkeepers and related workers 56 50
2.4%
916 Garbage collectors and related laborers 15 15
0.7%
921 Agricultural, fishery and related laborers 68 56
2.7%
931 Mining and construction laborers 129 118
5.8%
932 Manufacturing laborers 20 20
1%
933 Transport laborers and freight handlers 22 20
1%
9998 Unspecified code 0 0
0%
9999 Not stated 0 0
0%
Sysmiss 6097 6146
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 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
----------------------
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-88
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