Labor Force Survey, LFS 2022
Egypt, Arab Rep., 2022
Get Microdata
Reference ID
EGY_LFS_2022_HD_V1
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
Collections
Created on
Nov 15, 2023
Last modified
Nov 16, 2023
Page views
70183
Downloads
3647
- Data files
-
Egypt 2022-LFS
HH-V1 -
Egypt 2022-LFS
IND-V1
Occupation classification of the previous/last held job [Standardized version] (occprv)
Data file: Egypt 2022-LFS IND-V1
Overview
Valid:
2119
Invalid:
297304
Minimum:
10
Maximum:
90
Type:
Discrete
Decimal:
2
Start:
221
End:
223
Width:
3
Range:
10 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 10 | Legislators, senior officials and managers | 41 |
1.9%
|
| 20 | Professionals | 141 |
6.7%
|
| 30 | Technicians and associate professionals | 275 |
13%
|
| 40 | Clerks | 153 |
7.2%
|
| 50 | Service workers and shop and market sales workers | 401 |
18.9%
|
| 60 | Skilled agricultural and fishery workers | 63 |
3%
|
| 70 | Craft and related trades workers | 530 |
25%
|
| 80 | Plant and machine operators, and assemblers | 294 |
13.9%
|
| 90 | Elementary occupations | 221 |
10.4%
|
| 100 | Armed forces | 0 |
0%
|
| 998 | Other/unspecified | 0 |
0%
|
| 999 | Not stated | 0 |
0%
|
| Sysmiss | 297304 |
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 for the year 1988 (ISCO-88).
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
----------------------------------