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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
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  • Study Description
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  • Tunisia
    2009-LFS HH-V1
  • Tunisia
    2009-LFS IND-V1

Region (REG)

Data file: Tunisia 2009-LFS IND-V1

Overview

Valid: 660851
Valid (weighted): 10419721.94
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 22
End: 27
Width: 6
Range: 788011 - 788063
Format: Numeric
Weighted variable: V694

Questions and instructions

Categories
Value Category Cases Weighted
788011 Tunis 28468 996582
9.6%
788012 Ariana 22469 484282
4.6%
788013 Ben Arous 24788 565350
5.4%
788014 Mannouba 27986 362349
3.5%
788015 Nabeul 28152 742407
7.1%
788016 Zaghouan 23774 168524
1.6%
788017 Bizerte 28806 542034
5.2%
788021 Beja 26860 304644
2.9%
788022 Jendouba 27491 421374
4%
788023 Lekef 25076 256271
2.5%
788024 Siliana 30844 233100
2.2%
788031 Sousse 27959 599787
5.8%
788032 Monastir 24395 503378
4.8%
788033 Mahdia 28718 392002
3.8%
788034 Sfax 31229 915726
8.8%
788041 Kairouan 32282 556638
5.3%
788042 Kasserine 31211 427629
4.1%
788043 Sidi Bouzid 32685 408736
3.9%
788051 Gabes 27426 357312
3.4%
788052 Mednine 27166 450938
4.3%
788053 Tataouine 26077 145022
1.4%
788061 Gafsa 29016 334549
3.2%
788062 Tozeur 23280 102095
1%
788063 Kebili 24693 148992
1.4%
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
Region of residence.
Universe
All individuals
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
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.


COUNTRY SPECIFIC NOTES
----------------------------------
The Governorate is missing for 24 household / 96 individual in the original data.
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