Labor Force Survey, LFS 2019
Egypt, Arab Rep., 2019
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Reference ID
EGY_LFS_2019_HD_V2
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
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Created on
Jun 10, 2021
Last modified
May 29, 2023
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- Data files
-
Egypt 2019-LFS
HH-V2 -
Egypt 2019-LFS
IND-V2
Occupation classification of the previous/last held job [Standardized version] (OCCPRV)
Data file: Egypt 2019-LFS IND-V2
Overview
Valid:
1691
Invalid:
321266
Type:
Discrete
Decimal:
2
Start:
320
End:
325
Width:
6
Range:
10 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 10 | Legislators, senior officials and managers | 41 |
2.4%
|
| 20 | Professionals | 246 |
14.5%
|
| 30 | Technicians and associate professionals | 108 |
6.4%
|
| 40 | Clerks | 124 |
7.3%
|
| 50 | Service workers and shop and market sales workers | 335 |
19.8%
|
| 60 | Skilled agricultural and fishery workers | 74 |
4.4%
|
| 70 | Craft and related trades workers | 356 |
21.1%
|
| 80 | Plant and machine operators, and assemblers | 222 |
13.1%
|
| 90 | Elementary occupations | 171 |
10.1%
|
| 100 | Armed forces | 0 |
0%
|
| 998 | Other/unspecified | 13 |
0.8%
|
| 999 | Not stated | 1 |
0.1%
|
| Sysmiss | 321266 |
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 15+
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
----------------------------------
----------------------
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
----------------------------------