Login
Login
ENGLISH ARABIC
Microdata Catalog
  • Data Catalog
  • Announcements
  • Citations
    Home / Central Data Catalog / EGY_LFS_2017_HD_V1 / variable [F22]
central

Labor Force Survey, LFS 2017

Egypt, 2017
Get Microdata
Reference ID
EGY_LFS_2017_HD_V1
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
May 30, 2019
Last modified
May 29, 2023
Page views
245345
Downloads
10457
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Egypt 2017-LFS
    HH-V1
  • Egypt 2017-LFS
    IND-V1

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

Data file: Egypt 2017-LFS IND-V1

Overview

Valid: 3075
Valid (weighted): 933834.661
Invalid: 332321
Invalid (weighted): 94718147.487
Type: Discrete
Decimal: 0
Start: 173
End: 175
Width: 3
Range: 10 - 999
Format: Numeric
Weighted variable: V1797

Questions and instructions

Categories
Value Category Cases Weighted
10 Legislators, senior officials and managers 74 15335
1.6%
20 Professionals 353 89875
9.6%
30 Technicians and associate professionals 185 49859
5.3%
40 Clerks 159 51651
5.5%
50 Service workers and shop and market sales workers 581 192428
20.6%
60 Skilled agricultural and fishery workers 350 88724
9.5%
70 Craft and related trades workers 723 225422
24.1%
80 Plant and machine operators, and assemblers 404 131724
14.1%
90 Elementary occupations 245 88451
9.5%
100 Armed forces 0 0
0%
998 Other/unspecified 1 367
0%
999 Not stated 0 0
0%
Sysmiss 332321 94718147
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 and reported a previous job INDs aged 15+

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
----------------------------------
As stated in the methodology provided with the dataset from CAPMAS, the occupation variable's codes were recoded based on the occupational classification index issued in July 2005 which is consistent with the International Standard Classification of Occupations for 1988 (ISCO-88).
Back to Catalog
ERF NADA

© ERF NADA, All Rights Reserved.