Labor Force Survey, LFS 2020
Palestine, 2020 - 2021
Economic Research Forum, Palestinian Central Bureau of Statistics
- Data files
-
Palestine20-LFS
HH-V1 -
Palestine20-LFS
IND-V1
Occupation classification of the previous/last held job [Standardized version] (OCCPRV)
Data file: Palestine20-LFS IND-V1
Overview
Valid:
4594
Valid (weighted):
4670.433
Invalid:
86244
Invalid (weighted):
86167.567
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 10 | Legislators, senior officials and managers | 50 | 46 |
1%
|
| 20 | Professionals | 513 | 531 |
11.4%
|
| 30 | Technicians and associate professionals | 121 | 133 |
2.9%
|
| 40 | Clerks | 65 | 79 |
1.7%
|
| 50 | Service workers and shop and market sales workers | 677 | 699 |
15%
|
| 60 | Skilled agricultural and fishery workers | 72 | 63 |
1.3%
|
| 70 | Craft and related trades workers | 1082 | 1103 |
23.6%
|
| 80 | Plant and machine operators, and assemblers | 374 | 388 |
8.3%
|
| 90 | Elementary occupations | 1614 | 1599 |
34.2%
|
| 100 | Armed forces | 26 | 29 |
0.6%
|
| 998 | Other/unspecified | 0 | 0 |
0%
|
| 999 | Not stated | 0 | 0 |
0%
|
| Sysmiss | 86244 | 86168 |
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
Derivation
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
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----------------------
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
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