National Survey on Population and Employment, ENPE 2013
Tunisia, 2013
Get Microdata
Reference ID
TUN_ENPE_2013_HD_V1
Producer(s)
Economic Research Forum, National Institute of Statistics - Tunisia
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Created on
Jun 20, 2016
Last modified
Jul 12, 2016
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- Data files
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Tunisia
2013-LFS IND-V1 -
Tunisia
2013-LFS HH-V1
Occupation classification of the main job of the first spouse [Standardized version] (OCCSP_1)
Data file: Tunisia 2013-LFS HH-V1
Overview
Valid:
14910
Invalid:
105429
Type:
Discrete
Decimal:
0
Start:
84
End:
86
Width:
3
Range:
10 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 10 | Legislators, senior officials and managers | 698 |
4.7%
|
| 20 | Professionals | 2124 |
14.2%
|
| 30 | Technicians and associate professionals | 3061 |
20.5%
|
| 40 | Clerks | 1568 |
10.5%
|
| 50 | Service workers and shop and market sales workers | 1368 |
9.2%
|
| 60 | Skilled agricultural and fishery workers | 1124 |
7.5%
|
| 70 | Craft and related trades workers | 540 |
3.6%
|
| 80 | Plant and machine operators, and assemblers | 2029 |
13.6%
|
| 90 | Elementary occupations | 2383 |
16%
|
| 100 | Armed forces | 0 |
0%
|
| 998 | Other/unspecified | 2 |
0%
|
| 999 | Not stated | 13 |
0.1%
|
| Sysmiss | 105429 |
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 for the main job of the first spouse.
Universe
Employed Spouses 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
----------------------------------