Labor Force Survey, LFS 2013-2014
Yemen, 2013 - 2014
Get Microdata
Reference ID
YEM_LFS_2013_HD_V1
Producer(s)
Economic Research Forum, ILO Regional Office for Arab States, Central Statistical Organization
Collections
Created on
Oct 15, 2017
Last modified
Oct 15, 2017
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- Data files
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Yemen
2013-2014-LFS
HH-V1 -
Yemen
2013-2014-LFS
IND-V1
Occupation classification of the previous/last held job [Standardized version] (OCCPRV)
Data file: Yemen 2013-2014-LFS IND-V1
Overview
Valid:
1736
Invalid:
84114
Type:
Discrete
Decimal:
0
Start:
163
End:
165
Width:
3
Range:
10 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 10 | Legislators, senior officials and managers | 8 |
0.5%
|
| 20 | Professionals | 54 |
3.1%
|
| 30 | Technicians and associate professionals | 49 |
2.8%
|
| 40 | Clerks | 27 |
1.6%
|
| 50 | Service workers and shop and market sales workers | 364 |
21%
|
| 60 | Skilled agricultural and fishery workers | 388 |
22.4%
|
| 70 | Craft and related trades workers | 365 |
21%
|
| 80 | Plant and machine operators, and assemblers | 157 |
9%
|
| 90 | Elementary occupations | 290 |
16.7%
|
| 100 | Armed forces | 0 |
0%
|
| 998 | Other/unspecified | 1 |
0.1%
|
| 999 | Not stated | 33 |
1.9%
|
| Sysmiss | 84114 |
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 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
----------------------------------