Login
Login
ENGLISH ARABIC
Microdata Catalog
  • Data Catalog
  • Announcements
  • Citations
    Home / Central Data Catalog / PAL_LFS_2002_HD_V1 / variable [V3278]
central

Labor Force Survey, LFS 2002

Palestine, 2002
Get Microdata
Reference ID
PAL_LFS_2002_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
Mar 13, 2016
Last modified
Oct 11, 2016
Page views
138794
Downloads
5622
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Palestine02-LFS
    HH-V1
  • Palestine02-LFS
    IND-V1

Occupation classification of the previous/last held job [Standardized version] (OCCPRV)

Data file: Palestine02-LFS IND-V1

Overview

Valid: 3298
Valid (weighted): 79901.399
Invalid: 94627
Invalid (weighted): 2121542.855
Type: Discrete
Decimal: 0
Start: 138
End: 140
Width: 3
Range: 10 - 999
Format: Numeric
Weighted variable: V3235

Questions and instructions

Categories
Value Category Cases Weighted
10 Legislators, senior officials and managers 23 553
0.7%
20 Professionals 39 969
1.2%
30 Technicians and associate professionals 50 1062
1.3%
40 Clerks 10 212
0.3%
50 Service workers and shop and market sales workers 107 2370
3%
60 Skilled agricultural and fishery workers 307 5255
6.6%
70 Craft and related trades workers 416 10155
12.7%
80 Plant and machine operators, and assemblers 94 2159
2.7%
90 Elementary occupations 359 7669
9.6%
100 Armed forces 0 0
0%
998 Other/unspecified 0 0
0%
999 Not stated 1893 49498
61.9%
Sysmiss 94627 2121543
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
Standardized occupation classification of the previous/last held job.
Universe
Ever-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
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.


COUNTRY SPECIFIC NOTES
----------------------------------
Back to Catalog
ERF NADA

© ERF NADA, All Rights Reserved.