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National Survey on Population and Employment, ENPE 2012

Tunisia, 2012
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Reference ID
TUN_ENPE_2012_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
Apr 11, 2017
Last modified
Apr 11, 2017
Page views
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  • Study Description
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  • Tunisia
    2012-LFS HH-V1
  • Tunisia
    2012-LFS IND-V1

Region (REG)

Data file: Tunisia 2012-LFS IND-V1

Overview

Valid: 496941
Valid (weighted): 10755779.801
Invalid: 96
Invalid (weighted): 1970.429
Type: Discrete
Decimal: 0
Start: 23
End: 28
Width: 6
Range: 788011 - 788063
Format: Numeric
Weighted variable: V521

Questions and instructions

Categories
Value Category Cases Weighted
788011 Tunis 20835 1001797
9.3%
788012 Ariana 21177 526320
4.9%
788013 Ben Arous 19795 599023
5.6%
788014 Mannouba 18380 375106
3.5%
788015 Nabeul 19396 772194
7.2%
788016 Zaghouan 17965 173761
1.6%
788017 Bizerte 20395 555774
5.2%
788021 Beja 21319 305367
2.8%
788022 Jendouba 22064 424619
3.9%
788023 Lekef 18712 255107
2.4%
788024 Siliana 20113 233698
2.2%
788031 Sousse 23600 638919
5.9%
788032 Monastir 18915 537211
5%
788033 Mahdia 22667 399724
3.7%
788034 Sfax 25376 952826
8.9%
788041 Kairouan 24215 565800
5.3%
788042 Kasserine 24695 437768
4.1%
788043 Sidi Bouzid 24335 417087
3.9%
788051 Gabes 22533 367375
3.4%
788052 Mednine 23025 465894
4.3%
788053 Tataouine 16659 146702
1.4%
788061 Gafsa 20115 343863
3.2%
788062 Tozeur 14417 105692
1%
788063 Kebili 16238 154155
1.4%
Sysmiss 96 1970
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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