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Labor Force Survey, LFS 2019

Egypt, Arab Rep., 2019
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Reference ID
EGY_LFS_2019_HD_V2
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
Collections
Labor Force Surveys
Metadata
DDI/XML JSON
Created on
Jun 10, 2021
Last modified
May 29, 2023
Page views
96255
Downloads
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  • Egypt 2019-LFS
    HH-V2
  • Egypt 2019-LFS
    IND-V2

Region (REG)

Data file: Egypt 2019-LFS IND-V2

Overview

Valid: 322957
Invalid: 0
Type: Discrete
Decimal: 2
Start: 48
End: 56
Width: 9
Range: 818001 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 22731
7%
818002 Alexandria 14792
4.6%
818003 Port Said 4466
1.4%
818004 Suez 3466
1.1%
818011 Damietta 6885
2.1%
818012 Dakahlia 20374
6.3%
818013 Sharkia 22267
6.9%
818014 Kalyoubia 17618
5.5%
818015 Kafr-El- sheik 12440
3.9%
818016 Gharbia 16141
5%
818017 Menoufia 15173
4.7%
818018 Behira 22225
6.9%
818019 Ismaelia 6298
2%
818021 Giza 22631
7%
818022 Beni- Suef 12913
4%
818023 Fayoum 14238
4.4%
818024 Menia 19701
6.1%
818025 Asyout 16568
5.1%
818026 Suhag 18008
5.6%
818027 Qena 12325
3.8%
818028 Aswan 6994
2.2%
818029 Luxor 6883
2.1%
818031 Red Sea 1815
0.6%
818032 El-wadi El-Gidid 1441
0.4%
818033 Matrouh 2252
0.7%
818034 North Sinai 1980
0.6%
818035 South Sinai 332
0.1%
999999 Not stated 0
0%
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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