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    Home / Central Data Catalog / EGY_LFS_2018_HD_V3 / variable [F23]
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Labor Force Survey, LFS 2018

Egypt, Arab Rep., 2018
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Reference ID
EGY_LFS_2018_HD_V3
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Feb 18, 2021
Last modified
May 20, 2024
Page views
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  • Egypt 2018-LFS
    HH-V1
  • Egypt 2018-LFS
    IND-V1

Region (REG)

Data file: Egypt 2018-LFS HH-V1

Overview

Valid: 80804
Invalid: 0
Type: Discrete
Decimal: 0
Start: 24
End: 29
Width: 6
Range: 818001 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 7846
9.7%
818002 Alexandria 4425
5.5%
818003 Port Said 757
0.9%
818004 Suez 530
0.7%
818011 Damietta 1392
1.7%
818012 Dakahlia 6312
7.8%
818013 Sharkia 6439
8%
818014 Kalyoubia 4660
5.8%
818015 Kafr-El- sheik 3042
3.8%
818016 Gharbia 4820
6%
818017 Menoufia 3735
4.6%
818018 Behira 5610
6.9%
818019 Ismaelia 1155
1.4%
818021 Giza 6099
7.5%
818022 Beni- Suef 2457
3%
818023 Fayoum 2800
3.5%
818024 Menia 4611
5.7%
818025 Asyout 3662
4.5%
818026 Suhag 4144
5.1%
818027 Qena 2612
3.2%
818028 Aswan 1125
1.4%
818029 Luxor 1026
1.3%
818031 Red Sea 390
0.5%
818032 El-wadi El-Gidid 335
0.4%
818033 Matrouh 468
0.6%
818034 North Sinai 197
0.2%
818035 South Sinai 155
0.2%
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 households
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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