Labor Force Survey, LFS 2022
Palestine, 2022
Get Microdata
Reference ID
PAL_LFS_2022_HD_V1
Producer(s)
Economic Research Forum, Palestinian Central Bureau of Statistics
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Created on
Jul 16, 2026
Last modified
Jul 16, 2026
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- Data files
-
Palestine22-LFS
HH-V1 -
Palestine22-LFS
IND-V1
Occupation classification of the previous/last held job [Standardized version] (OCCPRV)
Data file: Palestine22-LFS IND-V1
Overview
Valid:
3702
Invalid:
92275
Type:
Discrete
Decimal:
0
Start:
203
End:
205
Width:
3
Range:
10 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 10 | Legislators, senior officials and managers | 35 |
0.9%
|
| 20 | Professionals | 452 |
12.2%
|
| 30 | Technicians and associate professionals | 106 |
2.9%
|
| 40 | Clerks | 74 |
2%
|
| 50 | Service workers and shop and market sales workers | 567 |
15.3%
|
| 60 | Skilled agricultural and fishery workers | 66 |
1.8%
|
| 70 | Craft and related trades workers | 808 |
21.8%
|
| 80 | Plant and machine operators, and assemblers | 246 |
6.6%
|
| 90 | Elementary occupations | 1324 |
35.8%
|
| 100 | Armed forces | 24 |
0.6%
|
| 998 | Other/unspecified | 0 |
0%
|
| 999 | Not stated | 0 |
0%
|
| Sysmiss | 92275 |
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
----------------------------------
----------------------
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
----------------------------------