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National Survey on Population and Employment, ENPE 2009

Tunisia, 2009
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Reference ID
TUN_ENPE_2009_HD_V1
Producer(s)
Economic Research Forum, National Institute of Statistics - Tunisia
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Dec 14, 2025
Last modified
Dec 14, 2025
Page views
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  • Study Description
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  • Tunisia
    2009-LFS HH-V1
  • Tunisia
    2009-LFS IND-V1

Economic activity classification of the main job [Standardized version] (IND)

Data file: Tunisia 2009-LFS IND-V1

Overview

Valid: 190562
Valid (weighted): 3198855.9
Invalid: 470289
Invalid (weighted): 7220866.04
Type: Discrete
Decimal: 0
Start: 61
End: 63
Width: 3
Range: 10 - 999
Format: Numeric
Weighted variable: V694

Questions and instructions

Categories
Value Category Cases Weighted
10 Agriculture, forestry and fishing 41443 578848
18.1%
20 Mining and quarrying 623 7162
0.2%
30 Manufacturing 29027 564748
17.7%
40 Electricity, gas and water supply 1544 28011
0.9%
50 Construction 25804 413192
12.9%
60 Wholesale and retail trade 21462 379474
11.9%
70 Transportation and storage 0 0
0%
80 Accommodation and food service activities 6936 129616
4.1%
85 Transportation and Telecommunications 10532 189080
5.9%
90 Information and communication 0 0
0%
100 Financial and insurance activities 1251 27192
0.9%
110 Real estate, professional and support service activities 6568 127847
4%
120 Public administration and defense 0 0
0%
130 Education 0 0
0%
140 Human health and social work activities 8071 139951
4.4%
145 Education services, health and public administration 35370 583655
18.2%
150 Other activities 49 1188
0%
998 Unspecified 0 0
0%
999 Not stated 1882 28892
0.9%
Sysmiss 470289 7220866
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 economic activity classification for the main job.
Universe
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.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.

COUNTRY SPECIFIC NOTES
----------------------------------
Economic activities provided are already aggregated and they are not following the international classifications used for harmonization, hence some activities are grouped and cannot be split (Ex: transportation is already grouped with telecommunications in the original data received while the international classification tend always to differentiate between different activities).
In order not to drop the variable, the provided grouping was used and labels were adjusted for this data set; giving the aggregated categories a composite code following the codes of actual categories (Ex: 1- Transportation and telecommunications will be coded 85 between the codes 70 and 90. 2- Education services, health and public administration will be coded 145 following the codes 120, 130 and 140.)
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