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    Home / Central Data Catalog / PAL_LFS_2016_HD_V1 / variable [V4041]
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Labor Force Survey, LFS 2016

Palestine, 2016
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Reference ID
PAL_LFS_2016_HD_V1
Producer(s)
Economic Research Forum, Palestinian Central Bureau of Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Jan 14, 2020
Last modified
Jan 14, 2020
Page views
154870
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  • Study Description
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  • Palestine16-LFS
    HH-V1
  • Palestine16-LFS
    IND-V1

Occupation classification of the main job [ISCO 2008-2 digits] (OCC_ISCO08_2)

Data file: Palestine16-LFS IND-V1

Overview

Valid: 25452
Valid (weighted): 26706.81
Invalid: 68584
Invalid (weighted): 67329.19
Type: Discrete
Decimal: 0
Start: 92
End: 95
Width: 4
Range: 1 - 9999
Format: Numeric
Weighted variable: V4018

Questions and instructions

Categories
Value Category Cases Weighted
1 Commissioned armed forces officers 743 682
2.6%
2 Non-commissioned armed forces officers 681 719
2.7%
3 Armed forces occupations, other ranks 340 351
1.3%
11 Chief executives, senior officials and legislators 199 218
0.8%
12 Administrative and commercial managers 143 169
0.6%
13 Production and specialized services managers 387 381
1.4%
14 Hospitality, retail and other services managers 52 63
0.2%
21 Science and engineering professionals 207 255
1%
22 Health professionals 505 552
2.1%
23 Teaching professionals 1844 1838
6.9%
24 Business and administration professionals 562 650
2.4%
25 Information and communications technology professionals 60 83
0.3%
26 Legal, social and cultural professionals 328 362
1.4%
31 Science and engineering associate professionals 173 191
0.7%
32 Health associate professionals 180 185
0.7%
33 Business and administration associate professionals 505 566
2.1%
34 Legal, social, cultural and related associate professionals 138 157
0.6%
35 Information and communications technicians 35 42
0.2%
41 General and keyboard clerks 257 301
1.1%
42 Customer services clerks 142 181
0.7%
43 Numerical and material recording clerks 33 35
0.1%
44 Other clerical support workers 24 25
0.1%
51 Personal service workers 669 709
2.7%
52 Sales workers 3303 3503
13.1%
53 Personal care workers 73 77
0.3%
54 Protective services workers 718 746
2.8%
61 Market-oriented skilled agricultural workers 925 762
2.9%
62 Market-oriented skilled forestry, fishery and hunting worker 12 8
0%
63 Subsistence farmers, fishers, hunters and gatherers 429 363
1.4%
71 Building and related trades workers, excluding electricians 2218 2472
9.3%
72 Metal, machinery and related trades workers 835 934
3.5%
73 Handicraft and printing workers 86 100
0.4%
74 Electrical and electronic trades workers 421 451
1.7%
75 Food processing, wood working, garment and other craft and r 1044 1194
4.5%
81 Stationary plant and machine operators 850 927
3.5%
82 Assemblers 16 20
0.1%
83 Drivers and mobile plant operators 1527 1650
6.2%
91 Cleaners and helpers 542 535
2%
92 Agricultural, forestry and fishery laborers 1013 803
3%
93 Laborers in mining, construction, manufacturing and transpor 2357 2574
9.6%
94 Food preparation assistants 317 315
1.2%
95 Street and related sales and service workers 48 51
0.2%
96 Refuse workers and other elementary workers 487 484
1.8%
9998 Unspecified code 0 0
0%
9999 Not stated 24 20
0.1%
Sysmiss 68584 67329
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 of the main job, following the 2-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).
Universe
Employed individuals aged 10+
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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.
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