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    Home / Central Data Catalog / TUN_ENPE_2013_HD_V1 / variable [V1679]
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National Survey on Population and Employment, ENPE 2013

Tunisia, 2013
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Reference ID
TUN_ENPE_2013_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
Jun 20, 2016
Last modified
Jul 12, 2016
Page views
137992
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  • Study Description
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  • Tunisia
    2013-LFS IND-V1
  • Tunisia
    2013-LFS HH-V1

Region (REG)

Data file: Tunisia 2013-LFS IND-V1

Overview

Valid: 472233
Valid (weighted): 10870876.66
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 23
End: 28
Width: 6
Range: 788011 - 788063
Format: Numeric
Weighted variable: V1678

Questions and instructions

Categories
Value Category Cases Weighted
788011 Tunis 17548 1005430
9.2%
788012 Ariana 18872 536567
4.9%
788013 Ben Arous 18443 610425
5.6%
788014 Mannouba 19010 378341
3.5%
788015 Nabeul 21140 782777
7.2%
788016 Zaghouan 15522 175977
1.6%
788017 Bizerte 20228 560885
5.2%
788021 Beja 20210 306772
2.8%
788022 Jendouba 20123 426453
3.9%
788023 Lekef 18405 256155
2.4%
788024 Siliana 19762 234917
2.2%
788031 Sousse 22159 652342
6%
788032 Monastir 18291 542136
5%
788033 Mahdia 18756 395367
3.6%
788034 Sfax 25560 965440
8.9%
788041 Kairouan 21222 571368
5.3%
788042 Kasserine 22222 442826
4.1%
788043 Sidi Bouzid 22865 420000
3.9%
788051 Gabes 21083 370991
3.4%
788052 Mednine 19278 473254
4.4%
788053 Tataouine 17505 148214
1.4%
788061 Gafsa 20830 349470
3.2%
788062 Tozeur 17979 108116
1%
788063 Kebili 15220 156653
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
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