Login
Login
ENGLISH ARABIC
Microdata Catalog
  • Data Catalog
  • Announcements
  • Citations
    Home / Central Data Catalog / PAL_LFS_2001_HD_V1 / variable [V3612]
central

Labor Force Survey, LFS 2001

Palestine, 2001
Get Microdata
Reference ID
PAL_LFS_2001_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 27, 2016
Last modified
Oct 11, 2016
Page views
167134
Downloads
6171
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Palestine01-LFS
    HH-V1
  • Palestine01-LFS
    IND-V1

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

Data file: Palestine01-LFS IND-V1

Overview

Valid: 7878
Valid (weighted): 146915.646
Invalid: 104847
Invalid (weighted): 1980800.854
Type: Discrete
Decimal: 0
Start: 137
End: 139
Width: 3
Range: 10 - 999
Format: Numeric
Weighted variable: V3569

Questions and instructions

Categories
Value Category Cases Weighted
10 Legislators, senior officials and managers 31 631
0.4%
20 Professionals 71 1550
1.1%
30 Technicians and associate professionals 91 1727
1.2%
40 Clerks 45 955
0.6%
50 Service workers and shop and market sales workers 319 6127
4.2%
60 Skilled agricultural and fishery workers 621 11247
7.7%
70 Craft and related trades workers 1547 29079
19.8%
80 Plant and machine operators, and assemblers 306 5492
3.7%
90 Elementary occupations 2029 33752
23%
100 Armed forces 0 0
0%
998 Other/unspecified 2 33
0%
999 Not stated 2816 56323
38.3%
Sysmiss 104847 1980801
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.